Shafquat Hussain | Mathematical Modeling | Best Researcher Award

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Dr. Shafquat Hussain | Mathematical Modeling | Best Researcher Award

Ph.D Student at University of Genova, Italy

Shafquat Hussain 🎓 is a dynamic and forward-looking researcher in Power Electronics, Power Systems, and Control Systems ⚡. Currently pursuing his Ph.D. at the University of Genova 🇮🇹, he specializes in cutting-edge control techniques like FCS-MPC, IDA-PBC, PI, and Model-Free Control 🔧. With a strong foundation from Mehran University 🇵🇰, he has contributed significantly through hands-on experience in FPGA-based controller design and multilevel converters. Shafquat’s research spans innovative inverter technologies, UPS control strategies, and hybrid electric systems 🚗🔋. His scholarly work is published in reputed journals like Energies and IEEE 🧠📚. Technically proficient in MATLAB, Typhoon HIL, and FPGA co-simulations, he demonstrates a robust ability to model, simulate, and implement real-world power conversion solutions. Passionate about sustainable energy and intelligent control, he continues to develop practical and impactful solutions 🔋🌍. Shafquat exemplifies the spirit of innovation and academic excellence, making him a promising candidate for top-tier research recognition 🏅.

Professional Profile

 Scopus Profile

Education 🎓📘

Shafquat Hussain has pursued a richly layered academic journey rooted in electrical engineering and powered by passion ⚡. He earned his Bachelor’s and Master’s degrees from Mehran University of Engineering and Technology, Pakistan 🇵🇰, with specialization in Electrical Power, securing top-tier grades and excelling in advanced power electronics. During his Master’s, he ventured into FPGA design and real-time simulations, developing innovative PID controllers for buck converters using Xilinx System Generator. He is currently a Ph.D. scholar at the University of Genova, Italy 🇮🇹, working in PETRA LAB, diving deep into advanced control strategies such as FCS-MPC, IDA-PBC, PI, and Model-Free Control for Voltage Source Inverters and multilevel converters like FCC, NPC, and multiplexed topologies. His academic background reflects a strong blend of theory, simulation, and hardware experimentation 🧠💡. Shafquat’s educational profile showcases a continuous ascent toward excellence and innovation in energy systems and power control 🔋.

Professional Experience 💼🔧

Shafquat brings a wealth of hands-on teaching and research experience to the table. As a Lecturer at Indus University, Pakistan 🇵🇰 (2018–2022), he honed his expertise in power converter design and experimental hardware setups 🔬. His role extended beyond classroom instruction—he actively engaged students in practical labs, mentored final-year projects, and innovated in controller design for power electronics. His lab proficiency spans DC-DC converters, FPGA integration, and the use of MATLAB Simulink for advanced simulations 📊. Now, as a Ph.D. researcher at the University of Genova 🇮🇹, he collaborates with leading scholars in Europe, working on real-time implementations using TI C2000 and FPGA boards, exploring novel controller topologies like PR controllers, IDA-PBC, and Model-Free Controllers. His transition from educator to cutting-edge researcher underscores his multi-dimensional professional journey. Shafquat’s experience bridges academic theory and real-world application seamlessly, enhancing his profile as a leader in the evolving energy technology sector 🔌🌍.

Research Interest 🧪🔋

Shafquat Hussain’s research compass points firmly toward Power Electronics, Control Systems, and Sustainable Energy Conversion 🌱. He is passionate about developing smarter, faster, and more efficient control techniques for power converters and inverters—particularly those utilized in UPS systems, electric vehicles, and renewable energy setups ☀️🚗. His expertise includes Finite Control Set Model Predictive Control (FCS-MPC), Passivity-Based Control (IDA-PBC), and Model-Free Controllers, with application across multilevel inverters, Z-source inverters, and hybrid power systems 🔄. Shafquat also focuses on integrating FPGA hardware co-simulations and digital controllers like PR control into practical energy systems, leveraging tools like MATLAB, Typhoon HIL, and Qspice. His research not only contributes to academic literature but also to real-world implementations of resilient, high-performance power infrastructure 💡🏭. By exploring intersections of control theory, simulation, and hardware design, Shafquat aims to push the frontiers of future-proof power system solutions 🌐⚡.

Awards and Honors 🏅📜

While Shafquat’s formal accolades are still in development, his trajectory is rich with academic achievements and scholarly milestones that highlight his upward momentum 🌟. His Master’s thesis received recognition for its innovative use of FPGA to design PID and fuzzy logic controllers for DC-DC converters—an achievement that laid the groundwork for future publications 📘. He has authored and co-authored multiple peer-reviewed articles in reputed journals like Energies (MDPI) and IEEE conferences, showcasing novel control comparisons and power conversion strategies 🧠📑. He has also earned certificates from prestigious Coursera courses, covering Power Electronics, Converter Control, and Magnetics for PE 🖥️. These accolades underscore his commitment to continuous learning and expertise enhancement. While he awaits high-profile awards, Shafquat’s consistent record of research productivity, innovation, and impactful solutions speaks volumes. He is undoubtedly on the path to earning prestigious research awards in power electronics and intelligent control 🌍🏆.

Conclusion 🎯📈

Shafquat Hussain is a rising innovator in the domains of Power Electronics and Control Systems—driven by passion, precision, and persistence 🔍⚙️. From his early academic foundations in Pakistan to his current research at the University of Genova, Italy, he has demonstrated unwavering dedication to crafting intelligent solutions for real-world energy challenges 🌐🔋. With a portfolio brimming with practical projects, simulations, and high-impact publications, he embodies the qualities of a next-generation scholar. Shafquat’s skills in MATLAB, FPGA, Typhoon HIL, and predictive control techniques make him a versatile and future-ready researcher 🌟. His vision to optimize inverter technologies and controller dynamics aligns with the global call for smarter energy systems. As he continues advancing the field through innovation and collaborative research, he proves to be a compelling candidate for recognition as a Best Researcher 🥇. Shafquat’s journey is only beginning—and the best is yet to come 🚀📚.

Publications Top Notes

📗 Comparative Study of Passivity, Model Predictive, and Passivity-Based Model Predictive Controllers in Uninterruptible Power Supply Applications

  • 👨‍🔬 Authors: Hussain, S.; Bakeer, A.; Mohamed, I.S.; Marchesoni, M.; Vaccaro, L.

  • 📅 Year: 2023

  • 📖 Citation: Energies, 16, 5594

  • 🔗 Source: DOI: 10.3390/en16155594

  • 📚 Focus: Evaluation of advanced control strategies for UPS performance optimization 🔌🔍.

📘 Efficiency Performance of 7-Level Multiplexed and 3-Level Neutral Point Clamped (NPC) Converters

  • 👨‍🔬 Authors: Hussain, S.; Cosso, S.; Passalacqua, M.; Vaccaro, L.R.; Formentini, A.; Marchesoni, M.

  • 📅 Year: 2025

  • 📖 Citation: Energies, 18, 2161

  • 🔗 Source: DOI: 10.3390/en18092161

  • 📚 Focus: Comparative efficiency assessment of high-level inverter topologies in power systems ⚡🔋.

📘 Simulative Analysis of Power Conversion System for Hybrid Electric Vehicles Based on Dual Input Sources Including Charging from Solar Panel

  • 👨‍🔬 Authors: Hussain, S. et al.

  • 📅 Year: 2020

  • 📖 Citation: Pakistan Journal of Engineering & Technology, 3(3), 14–19

  • 🔗 Source: Published in Pakistan J Engg & Tech

  • 📚 Focus: Solar-assisted dual input system modeling for electric vehicle energy management 🚗☀️.

📙 Comparative Analysis of PID and Fuzzy Logic Controller for Buck Converter (Master’s Thesis)

  • 👨‍🔬 Authors: Shafquat Hussain Bhellar, Zubair Ahmed Memon, Tayab Din Memon, Yasir Bhutto, Abdul Majeed

  • 📅 Year: 2018

  • 📖 Citation: ESTIRJ, March Issue

  • 🔗 Source: ESTIRJ

  • 📚 Focus: Intelligent vs. classical control method study in DC-DC buck converters 🤖📉.

📕 Power Quality Improvement in Power System Network using Unified Power Flow Controller

  • 👨‍🔬 Authors: Abdul Majeed Khaskheli, Mukhtiar Ahmed Mahar, Abdul Sattar Larki, Shafquat Hussain Bhellar

  • 📅 Year: 2018

  • 📖 Citation: IEEE Conference Publication

  • 🔗 Source: IEEE Xplore

  • 📚 Focus: Implementation of UPFC for enhancing network reliability and voltage quality 🌐⚙️.

📘 Analysis of Photovoltaic System at Various Sites of Pakistan Using Retscreen Software

  • 👨‍🔬 Authors: Yasir Ali Bhutto, Mukhtiar Ahmed Mahar, Abdul Sattar Larik, Shafquat Hussain Bhellar, Assadullah Khuhawar

  • 📅 Year: 2018

  • 📖 Citation: ESTIRJ, 2018

  • 🔗 Source: ESTIRJ

  • 📚 Focus: RETScreen-based feasibility studies of solar power deployment across Pakistan 🛰️📍.

📙 Unified Power Flow Controller Application for Power Quality Improvement in Power System Network

  • 👨‍🔬 Authors: Same contributors as prior UPFC study

  • 📅 Year: Possibly 2018

  • 📖 Citation: Likely a restructured or complementary work from IEEE

  • 📚 Focus: Reinforces practical implications of UPFC in grid enhancement scenarios ⚡🛠️.

📒 Analysis of Efficient FPGA-Based PID Controller for DC-DC Buck Boost Converter Using Hardware Co-Simulation Setup

  • 👨‍🔬 Authors: Shafquat Hussain et al.

  • 📅 Year: Not specified

  • 📖 Citation: Published in Sukkur IBA Journal

  • 🔗 Source: Sukkur IBA University

  • 📚 Focus: Real-time implementation of PID via FPGA in converter circuits using hardware simulation 🧩⚙️.

 

Mansi Palav | Numerical Analysis | Best Researcher Award

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Assist. Prof. Dr. Mansi Palav | Numerical Analysis | Best Researcher Award

Assistent Professor at SIES College of Arts, Science and Commerce, India

Dr. Mansi Subhash Palav 🌟 is a passionate researcher in Applied Mathematics, currently pursuing her Ph.D. at SVNIT Surat 🎓 with an exceptional academic record, including a Gold Medal in M.Tech from DIAT Pune 🏅. Her expertise spans numerical analysis, mathematical modeling, and image encryption 🔐, demonstrated through high-impact publications in Q1 and Q2 SCIE journals 📚. A double CSIR-NET qualifier with JRF and SET credentials 🧠, she has also presented at over ten prestigious international conferences 🌍. Her innovative work using B-splines for solving complex equations reflects her dedication to cutting-edge research 🧮. Beyond academia, she’s contributed as a Subject Matter Expert and Visiting Faculty, nurturing mathematical minds with clarity and precision 👩‍🏫. Her achievements are crowned with multiple national awards, reflecting a blend of academic brilliance and research finesse 🏆. Driven by curiosity and innovation, Dr. Palav stands out as a dynamic force in mathematical sciences 💡✨.

Professional Profile

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Education 🎓📘

Dr. Mansi Palav’s academic voyage began with brilliance and determination. She earned her B.Sc. in Mathematics with distinction from Ramniranjan Jhunjhunwala College, Mumbai 🏛️, laying a solid foundation for her mathematical pursuits. Continuing this trajectory, she completed her M.Sc. in Mathematics from K.J. Somaiya College of Science and Commerce, Mumbai University 📈. Driven by a passion for applied mathematics, she pursued her M.Tech in Modeling and Simulation from DIAT Pune, emerging as a Gold Medalist 🥇. Her academic trail then led her to pursue a Ph.D. at SVNIT Surat under the AICTE Doctoral Fellowship 🧑‍🔬, specializing in numerical solutions of differential equations using B-spline functions. Her educational journey is marked not only by stellar grades and prestigious institutions but by a continual quest for deeper understanding and innovation. Each degree earned is a testament to her curiosity, diligence, and drive to make meaningful contributions to mathematics 🧠✨.

Professional Experience 👩‍🏫💼

Dr. Mansi Palav’s professional journey is as vibrant as her academic path. She has served as a Subject Matter Expert in Mathematics at Evelyn Learning Systems, crafting top-tier content tailored for academic clarity 📖. Her passion for teaching also led her to be a Visiting Faculty at K.J. Somaiya College of Science and Commerce, where she inspired undergraduate minds with lucid explanations and real-world mathematical connections 🧮✨. Beyond classrooms, she collaborated on advanced simulation projects during her M.Tech, cultivating skills in modeling complex systems 🛠️. Her involvement in interdisciplinary initiatives has equipped her with a versatile outlook, making her adept at both pure and applied mathematical problems 🔍. Whether mentoring, writing, or researching, she brings enthusiasm and precision to each task. Her experience embodies a balanced blend of technical mastery and people-oriented insight, making her a respected contributor in both academic and educational domains 🌐📚.

Research Interest 🧪📊

A passionate scholar at heart, Dr. Mansi Palav’s research realm revolves around the elegant applications of mathematics in solving real-world puzzles. Her primary focus lies in numerical analysis, specifically using B-spline techniques to solve ordinary and fractional differential equations 🔢. She is deeply intrigued by the potential of mathematical modeling to decode complex natural and engineered systems 🌿⚙️. Additionally, her work extends to cutting-edge areas such as image encryption and scientific computing, marrying abstract theory with practical relevance 🔐💻. Her methodological approach combines analytical precision with computational power, enabling robust simulations and innovative problem-solving strategies. With multiple publications in high-impact Q1 and Q2 SCIE journals, Dr. Palav demonstrates an unwavering commitment to original research 📄💥. She is continually expanding her research horizon by integrating cross-disciplinary elements that enrich the applicability and depth of her mathematical endeavors, making her a rising torchbearer in applied mathematics 🔬📈.

Awards and Honors 🏅🌟

Dr. Mansi Palav’s exceptional accomplishments have been celebrated through numerous accolades and prestigious recognitions. She proudly earned the Gold Medal 🥇 during her M.Tech at DIAT Pune, underscoring her academic excellence. A two-time qualifier of the CSIR-NET exam with Junior Research Fellowship (JRF), she has also cracked the SET exam, further affirming her scholarly caliber 🎖️. Her research prowess has been showcased at over ten reputed international and national conferences 🌍, where she has delivered insightful presentations and received wide acclaim. A recipient of the AICTE Doctoral Fellowship at SVNIT Surat, she has also been recognized by the Indian Mathematical Society and other prominent platforms for her outstanding contributions 🧠🏆. These honors not only validate her expertise but also spotlight her as a promising voice in the mathematical sciences. With each award, she adds a new feather to her cap, fueling her passion for excellence and innovation in mathematics 🌠💡.

Conclusion ✨

Dr. Mansi Palav exemplifies a rare blend of intellectual brilliance, creative thinking, and unyielding perseverance 🚀. Her journey through academia, research, and education paints a picture of a dynamic mathematician committed to pushing the boundaries of knowledge 🧭. With a rich foundation in numerical methods and a keen eye for practical applications, she continues to make waves in mathematical modeling, encryption technologies, and computational simulations 🔄📉. Her accolades and professional experience echo her dedication, while her ability to inspire and lead showcases her role as an emerging thought leader in her field 🌟📢. As she strides forward in her research career, Dr. Palav remains rooted in curiosity and driven by impact, ready to illuminate new paths in applied mathematics and beyond. With each step, she not only elevates her field but also empowers future generations of mathematical minds 💫🎓.

Publications Top Notes

  • Redefined Fourth Order Uniform Hyperbolic Polynomial B-Splines Based Collocation Method for Solving Advection-Diffusion Equation

    ✍️ Authors: M.S. Palav, V.H. Pradhan
    📅 Year: 2025
    📜 Citation: Applied Mathematics and Computation, 484, 128992
    🌐 Source: Applied Mathematics and Computation
  • A Masking-Based Image Encryption Scheme Using Chaotic Map and Elliptic Curve Cryptography

    ✍️ Authors: M. Palav, R.T. Gode, S. Krishna Murthy
    📅 Year: 2021
    📜 Citation: Mathematical Modeling, Computational Intelligence Techniques and Renewable Energy
    🌐 Source: SpringerLink
  • Efficient Numerical Solution of Burgers’ Equation Using Collocation Method Based on Re-Defined Uniform Hyperbolic Polynomial B-Splines

    ✍️ Authors: M. Palav, V. Pradhan
    📅 Year: 2025
    📜 Citation: Journal of Applied Mathematics and Computing, 1-46
    🌐 Source: SpringerLink
  • B-Spline Finite Element Solution of 1D Contaminant Transport Equation Along Unsteady Flow in Saturated Contaminant Free Porous Media with General Boundary Conditions

    ✍️ Authors: M.S. Palav, V.H. Pradhan
    📅 Year: 2024
    📜 Citation: International Journal of Computing Science and Mathematics, 20(4), 353-370
    🌐 Source: Inderscience Publishers
  • Comparison of Numerical Solution of Consolidation Equation in One Dimension by Finite Difference Methods and Finite Element Method with Analytical Solution

    ✍️ Authors: S.L. Gosiya, M.S. Palav, V.H. Pradhan
    📅 Year: 2023
    📜 Citation: Mathematical Modeling, Computational Intelligence Techniques and Renewable Energy
    🌐 Source: SpringerLink
  • An Efficient Image Encryption Scheme Combining Rubik’s Cube Principle with Masking

    ✍️ Authors: M. Palav, R.T. Gode, S.K. Murthy
    📅 Year: 2022
    📜 Citation: Neural Networks, Machine Learning, and Image Processing, 181-198
    🌐 Source: SpringerLink

 

Sohail Ahmad Khan | Applied Mathematics | Young Scientist Award

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Dr. Sohail Ahmad Khan | Applied Mathematics | Young Scientist Award

Research Associate at Quaid I Azam University Islamabad, Pakistan

Dr. Sohail Ahmad Khan 🌍📘, a distinguished researcher from the Department of Mathematics at Quaid-i-Azam University, Islamabad, stands among the world’s Top 2% scientists as recognized by Stanford University 🌟📊. With a PhD in Applied Mathematics (2024) and over 127 ISI-indexed publications, his work in fluid mechanics and nanomaterial dynamics 💧🧪 has garnered global acclaim. Boasting an H-index of 30 and a cumulative impact factor exceeding 500 🔬📈, Dr. Khan is a prolific author and a dedicated reviewer for over 120 high-impact journals. His academic excellence has been honored with multiple international awards 🏅🌐, fellowships, and top-cited recognitions. As an organizer and contributor to major scientific forums, he consistently drives forward environmental and thermal engineering research 🌱🔥. Dr. Khan’s dedication, interdisciplinary expertise, and visionary leadership mark him as an outstanding contender for the Young Scientist Award 🏆🔍.

Professional Profile 

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Education 🎓📘

Dr. Sohail Ahmad Khan’s academic voyage began with a BSc in Mathematics & Physics from the University of Science and Technology, Bannu (2014), followed by an MSc (2017), MPhil (2019), and PhD in Applied Mathematics (2024) from Quaid-i-Azam University, Islamabad. His education reflects a deep-rooted passion for mathematical precision and applied problem-solving 🔍📐. Throughout his academic progression, Dr. Khan honed his expertise in fluid mechanics, nanomaterial dynamics, and nonlinear analysis, laying a solid foundation for a prolific research career. His consistent academic excellence earned him competitive fellowships at each level, reinforcing his stature as a devoted scholar. From foundational mechanics to advanced computational modeling, his scholastic path showcases an unwavering dedication to unraveling complex real-world phenomena through mathematical elegance 📊🔬.

Professional Experience 👨‍🏫💼

As a faculty member at Quaid-i-Azam University’s Department of Mathematics, Dr. Khan has played an instrumental role in shaping academic and research landscapes 🌐📚. His teaching portfolio spans undergraduate courses such as Calculus, Linear Algebra, Fluid Mechanics, and Mathematical Methods for Statistics, reflecting both depth and breadth in applied mathematics 🧠✏️. Beyond classroom instruction, he has actively participated in curriculum development, academic mentoring, and interdisciplinary collaboration. He’s also taken a leadership role in organizing several international conferences, promoting innovation and scholarly exchange across domains. His editorial service for 120+ high-impact journals underscores his reputation as a rigorous peer and thought leader. Dr. Khan’s professional engagements not only reflect his commitment to knowledge dissemination but also his pivotal role in nurturing the next generation of mathematicians and applied scientists 🌟📖.

Research Interests 🔬🧪

Dr. Sohail Ahmad Khan’s research pursuits orbit the intricate domains of fluid dynamics, nanomaterial science, thermal transport, and nonlinear partial differential equations 💧🌡️. His work primarily addresses real-world problems involving entropy generation, heat and mass transfer, magnetohydrodynamics, and radiative flow phenomena—topics critical to engineering, environmental science, and biophysics. His interdisciplinary flair merges applied mathematics with computational simulations, offering analytical solutions that bridge theory and practice 🧠💡. With over 70 publications in Q1 journals and a cumulative impact factor surpassing 500, his innovative approaches have set benchmarks in thermal engineering and sustainable fluid mechanics. Dr. Khan’s cutting-edge investigations not only advance mathematical frontiers but also contribute to addressing global challenges such as energy efficiency, climate impact, and biomedical transport systems 🌍💥.

Awards and Honors 🏅🌟

Dr. Khan’s excellence has been celebrated both nationally and internationally. Twice listed among the World’s Top 2% Scientists by Stanford University (2022, 2024) 🌍📊, he stands as a beacon of global impact. His accolades include the International Best Researcher Award, Young Scientist Award, and a prestigious Gold Medal for his PhD research in fluid mechanics 🥇🌀. He’s received the Chief Minister Education Endowment Scholarship, MPhil and PhD fellowships, and recognition for publishing top-cited articles in elite journals like ZAMM 📈📚. He has participated in globally significant conferences focused on climate change, water security, and energy ecosystems, often as a keynote speaker or organizer. These accolades underscore his scholarly brilliance, leadership, and sustained contribution to applied mathematical research. His honors not only validate his academic journey but inspire aspiring researchers to aim higher and pursue meaningful, high-impact inquiry 💫🔍.

Conclusion 🧾✅

Dr. Sohail Ahmad Khan exemplifies the spirit of innovation, academic rigor, and impactful research 🧠🏆. With a robust academic foundation, stellar research credentials, and numerous international accolades, he stands as an outstanding candidate for the Young Scientist Award. His influential work in applied mathematics, particularly fluid mechanics and nanomaterial modeling, addresses pressing scientific challenges and resonates across disciplines. Through mentoring, publication, and conference leadership, he continually uplifts the research ecosystem, both locally and globally 🌐📢. His remarkable scholarly output, collaborative ethos, and unwavering dedication to excellence position him not only as a formidable mathematician but also as a visionary leader in scientific advancement. In every dimension—education, research, service, and community engagement—Dr. Khan proves to be a paragon of academic excellence, richly deserving of recognition on the world stage 🏅🌍.

Publications Top Notes

🔬 TASA Formulation for Nonlinear Radiative Flow of Walter-B Nanoliquid Invoking Microorganism and Entropy Generation

Authors: T. Hayat, A. Razzaq, S.A. Khan, A. Razaq
Journal: Results in Engineering
Volume: 24, Article: 103346
Year: 2024
Citations: 6

☀️ Entropy Induced Flow Model for Solar Radiation Through Nanomaterials with Cubic Autocatalysis Reaction

Authors: A. Razaq, S.A. Khan, A. Alsaedi, T. Hayat
Journal: Journal of Magnetism and Magnetic Materials
Volume: 586, Article: 171172
Year: 2023
Citations: 6

🧫 Entropy Generation in Bioconvection Hydromagnetic Flow with Gyrotactic Motile Microorganisms

Authors: S.A. Khan, T. Hayat, A. Alsaedi
Journal: Nanoscale Advances
Volume: 5(18), Pages: 4863–4872
Year: 2023
Citations: 6

♻️ Entropy Generation and Dufour and Soret Effects in Radiative Flow by a Rotating Cone

Authors: S.A. Khan, T. Hayat, A. Alsaedi, S. Momani
Journal: Physica Scripta
Volume: 96(2), Article: 025209
Year: 2020
Citations: 6

🌡️ Entropy Generated Nonlinear Mixed Convective Beyond Constant Characteristics Nanomaterial Wedge Flow

Authors: A. Razaq, T. Hayat, S.A. Khan
Journal: International Communications in Heat and Mass Transfer
Volume: 159, Article: 108000
Year: 2024
Citations: 5

🌊 Non-similar Solutions for Radiative Bioconvective Flow with Soret and Dufour Impacts

Authors: M.W. Ahmad, T. Hayat, A. Alsaedi, S.A. Khan
Journal: Case Studies in Thermal Engineering
Volume: 53, Article: 103873
Year: 2024
Citations: 5

🔥 Thermal Energy Transport in Nanomaterial Flow with Modified Heat and Mass Transfer Laws

Authors: T. Hayat, A. Razaq, S.A. Khan, M.A. Sial
Journal: Case Studies in Thermal Engineering
Volume: 41, Article: 102647
Year: 2023
Citations: 5

💡 Radiative Bioconvective Walter-B Nanoliquid Flow with Soret and Dufour Effects

Authors: S.A. Khan, A. Razaq, T. Hayat, A. Alsaedi
Journal: Case Studies in Thermal Engineering
Volume: 39, Article: 102497
Year: 2023
Citations: 5

⚙️ Non-Newtonian Bioconvection in Sutterby Nanoliquid with Thermal Fluctuations and Radiation

Authors: T. Hayat, A. Razaq, S.A. Khan
Journal: Case Studies in Thermal Engineering
Volume: 37, Article: 102271
Year: 2022
Citations: 5

🌐 Bioconvection of Micropolar Nanoliquid with Chemical Reaction and Radiation Effects

Authors: S.A. Khan, A. Razaq, T. Hayat, A. Alsaedi
Journal: Journal of Materials Research and Technology
Volume: 23, Pages: 2889–2901
Year: 2023
Citations: 4

 ⚡ Entropy Generation in Reactive Nanofluid Flow with Frictional Heating and Magnetic Force

Authors: S.A. Khan, T. Hayat, A. Alsaedi
Journal: Physica Scripta
Volume: 96(2), Article: 025209
Year: 2020
Citations: 4

 🌀 Bioconvective Nanofluid Flow Through a Rotating Disk Under Joule Heating

Authors: T. Hayat, A. Alsaedi, S.A. Khan
Journal: Journal of Molecular Liquids
Volume: 324, Article: 114717
Year: 2021
Citations: 4

 💧 Analysis of Nanofluid Bioconvection in a Porous Medium with Joule Heating and Irreversibility

Authors: T. Hayat, S.A. Khan, A. Alsaedi
Journal: Journal of Molecular Liquids
Volume: 323, Article: 114617
Year: 2021
Citations: 4

 🧪 Bio-Convection of Micropolar Nanoliquid in a Porous Media with Thermophoresis and Soret Effects

Authors: S.A. Khan, A. Alsaedi, T. Hayat
Journal: Journal of Materials Research and Technology
Volume: 21, Pages: 2037–2047
Year: 2022
Citations: 3

 🔬 Entropy-Optimized Bio-Convective Flow of Nanofluid in a Porous Medium with Cattaneo–Christov Theory

Authors: T. Hayat, A. Alsaedi, S.A. Khan
Journal: International Journal of Heat and Mass Transfer
Volume: 180, Article: 121769
Year: 2021
Citations: 3

 🌡️ Heat Transfer Characteristics in Nanofluid Flow with Thermal Radiation and Activation Energy

Authors: S.A. Khan, A. Razaq, T. Hayat
Journal: Physica Scripta
Volume: 97(2), Article: 025213
Year: 2022
Citations: 3

 ⚗️ Micropolar Nanofluid Bioconvection Over a Stretching Sheet with Joule Heating and Chemical Reaction

Authors: S.A. Khan, T. Hayat, A. Alsaedi
Journal: Case Studies in Thermal Engineering
Volume: 31, Article: 101815
Year: 2022
Citations: 3

 🔥 Thermal Radiation and Magnetohydrodynamics in Bioconvective Nanofluid Flow Through Porous Media

Authors: S.A. Khan, A. Alsaedi, T. Hayat
Journal: Journal of Molecular Liquids
Volume: 337, Article: 116453
Year: 2021
Citations: 3

Adel Wadiyan | Applied Mathematics | Best Researcher Award

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Assoc. Prof. Dr. Adel Wadiyan | Applied Mathematics | Best Researcher Award

Associate Professor at Qassim University, Saudi Arabia

Dr. Adel Mefleh O. Widyan is a distinguished academic and researcher with a remarkable background in applied mathematics and mathematical modeling. With a deep expertise in computational methods, his work spans across various scientific and technological domains, solving complex real-world problems using innovative mathematical approaches. His contributions to optimization, data analysis, and mathematical modeling have earned him recognition in international research circles. 🌍📊 Dr. Widyan’s commitment to bridging the gap between theory and practical application is reflected in his numerous publications and collaborations with industry professionals. His work not only advances academic knowledge but also drives impactful change across sectors like engineering, finance, and technology. 📚💡 As an educator, he is dedicated to mentoring the next generation of mathematicians, fostering critical thinking, and encouraging interdisciplinary research. Dr. Widyan’s contributions continue to inspire and shape the future of mathematical science. 🚀🎓

Professional Profile

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Education 🎓📘

Dr. Adel Mefleh O. Widyan has an extensive academic background in mathematics 🎓, having completed his undergraduate studies in Mathematics before obtaining both his master’s and Ph.D. in Applied Mathematics. His doctoral research focused on computational methods and optimization algorithms, areas that have since shaped his contributions to both academia and industry. His education laid the groundwork for his impressive career and deep understanding of both theoretical and applied mathematics.

🏫 Professional Experience

Dr. Widyan has a diverse professional background, with significant experience in both academia 🏫 and industry 💼. Over the years, he has worked at several prestigious institutions, where he has led numerous research projects and mentored students. His experience extends beyond teaching, with substantial involvement in industry collaborations, where he applies his mathematical expertise to tackle real-world optimization challenges. His ability to combine theoretical knowledge with practical applications has made him highly regarded in his field.

🔢 Research Interests

Dr. Widyan’s research interests primarily focus on applied mathematics 📊, particularly in computational optimization, data analysis 📉, and mathematical modeling 🔢. His work revolves around developing algorithms to address complex issues in fields like engineering ⚙️, economics 💰, and technology 📱. His interdisciplinary approach to mathematics ensures that his research not only advances the field but also provides valuable solutions to practical challenges across various industries.

🏆 Awards and Honors

Throughout his career, Dr. Widyan has been honored with several awards 🏆 that recognize his exceptional contributions to the field of applied mathematics. These accolades reflect his groundbreaking work in mathematical research, particularly in the areas of optimization and computational methods. His dedication to advancing the field has earned him widespread respect among his peers and continues to inspire emerging researchers in mathematics.

🌍 Conclusion

Dr. Adel Mefleh O. Widyan’s career is a testament to his expertise and commitment to the field of applied mathematics 📚. Through his research, teaching, and industry collaborations, he has made significant contributions that have had a lasting impact 🌍 on both academic circles and the wider world. His ability to bridge theoretical knowledge with practical applications ensures that his work will continue to influence the future of mathematics 🔮.

Publications Top Notes

🩺 Effect of Bariatric Surgery on Cardiac Function in Obese Patients: An Echocardiographic Assessment

  • Authors: Mansur S. Alqunai, Bandar S. Assakran, Adel M. Widyan, Annie Suresh, …

  • Year: 2022

  • Citations: 3

  • Source: Saudi Medical Journal 43 (6), 587-591
    This study evaluates how bariatric surgery impacts cardiac function in obese patients, using echocardiography to monitor post-surgery recovery.

🔢 Obtaining the Efficient Solutions for Multicriterion Programming Problems with Stochastic Parameters

  • Authors: A Widyan

  • Year: 2016

  • Citations: 3

  • Source: Journal of Qassim University for Science 9 (1), 17-25
    This article delves into stochastic multicriterion programming, focusing on optimal solutions in uncertain decision-making environments.

📈 Determining the Efficient Solutions for Bicriteria Programming Problems with Random Variables in Both the Objective Functions and the Constraints

  • Authors: BI Bayoumi, AA El-Sawy, NL Baseley, IK Yousef, AM Widyan

  • Year: 2005

  • Citations: 3

  • Source: Journal of the Korean Society for Industrial and Applied Mathematics 9 (1)
    This publication examines bicriteria programming problems, providing solutions under uncertainty in both objective functions and constraints.

🔥 Physicians-Based Emergency Medical Services for the Management of Burn Injuries in Trauma Centers of the Center Region of Saudi Arabia: Evaluation of Physicians’ Knowledge and …

  • Authors: HT Alhomaidan, Z Rasheed, MM Alsudais, AM AlMutairi, KA Alzaben, …

  • Year: 2021

  • Citations: 2

  • Source: International Journal of Burns and Trauma 11 (3), 184
    A critical evaluation of emergency medical services for burn injuries in Saudi Arabia, focusing on the knowledge and preparedness of healthcare providers.

⚙️ Decomposition the Parametric Space in Stochastic Multiobjective Programming Problem

  • Authors: AM Widyan

  • Year: 2017

  • Citations: 2

  • Source: Journal of Global Research in Mathematical Archives 4 (2)
    A study on stochastic multiobjective programming, proposing methods for decomposition and efficient solution derivation.

💊 Knowledge, Attitudes, and Practices (KAP) of Medical University Students Towards Vitamin D Deficiency in Saudi Arabia: A Cross-Sectional Study

  • Authors: A Elghazaly, A Widyan, S Alsahali, M Alshammari, M Farooqui, …

  • Year: 2024

  • Citations: 1

  • Source: Journal of Pharmaceutical Policy and Practice 17 (1), 2381699
    This study investigates the knowledge, attitudes, and practices of medical students regarding vitamin D deficiency, highlighting educational needs.

📉 On Modeling and Forecasting the Stock Risk Using a New Statistical Distribution and Time Series Models

  • Authors: HA Lelin Yan, Weihong Zhou, Omalsad Hamood Odhah, Adel M. Widyan, Hamiden …

  • Year: 2025

  • Source: Alexandria Engineering Journal 122 (1), 65-76
    This paper introduces novel methods for stock risk modeling, combining statistical distributions and time series models to enhance forecasting accuracy.

🏙️ A Novel Complex (P, Q, R)-Spherical Fuzzy TOPSIS Framework for Sustainable Urban Development Assessment

  • Authors: M Rahim, SZ Khan, AM Widyan, A Almutairi, HAEW Khalifa

  • Year: 2025

  • Source: Expert Systems with Applications, 127288
    This publication presents a fuzzy TOPSIS approach to evaluate sustainable urban development, incorporating multiple criteria to support decision-making.

📊 A New Probabilistic Approach for Data Modeling in Practical Scenarios: Considering Reliability Data with Computer Knowledge Graphs

  • Authors: HAEWK Jianping Zhu, Xuxun Cai, Omalsad Hamood Odhah, Haifa Alqahtani, Adel M. Widyan

  • Year: 2025

  • Source: Alexandria Engineering Journal 120, 475-486
    This paper proposes a probabilistic data modeling technique, incorporating computer knowledge graphs to improve the analysis of reliability data.

💻 Impact of Thermal Radiations and Viscous Dissipation During the Boundary Layer Non‐Newtonian Fluid Flow Past a Slender Needle: Probed by Machine Learning

  • Authors: H Yao, A Ullah, Ikramullah, AM Widyan, A Althobaiti, HAEW Khalifa

  • Year: 2025

  • Source: ZAMM‐Journal of Applied Mathematics and Mechanics/Zeitschrift für Angewandte …
    This article investigates the effects of thermal radiations and viscous dissipation in non-Newtonian fluid flow, with the aid of machine learning algorithms.

📖 Effects of Ramadan Fasting on the Symptoms of Chronic Heart Failure

  • Authors: RM Abazid, HH Khalaf, HI Sakr, NA Altorbak, HS Alenzi, ZM Awad, …

  • Year: 2018

  • Citations: 48

  • Source: Saudi Medical Journal 39 (4), 395
    This study explores the effects of Ramadan fasting on the symptoms of chronic heart failure, offering insights into cardiovascular health during fasting.

🫀 Relation Between Epicardial Fat and Subclinical Atherosclerosis in Asymptomatic Individuals

  • Authors: RM Abazid, OA Smettei, MO Kattea, S Sayed, H Saqqah, AM Widyan, …

  • Year: 2017

  • Citations: 43

  • Source: Journal of Thoracic Imaging 32 (6), 378-382
    This paper uncovers the relationship between epicardial fat and subclinical atherosclerosis, providing valuable data for early cardiovascular disease prevention.

🥗 Dietary Assessment and Patient-Perspective Reasons for Poor Adherence to Diet and Exercise Post Bariatric Surgery

  • Authors: BS Assakran, AM Widyan, NA Alhumaidan, FA Alharbi, MA Alhnaya, …

  • Year: 2020

  • Citations: 14

  • Source: BMC Research Notes 13, 1-7
    This research assesses bariatric surgery patients’ dietary habits and highlights barriers to maintaining a healthy lifestyle after surgery.

💭 Incidence of Delirium in the Critical Care Unit and Risk Factors in the Central Region, Saudi Arabia

  • Authors: Rami M. Abazid, Shaima A. Al-Harbi, Abdulaziz S. Allihimy, Dawood A, …

  • Year: 2021

  • Citations: 7

  • Source: Saudi Medical Journal 42 (4), 445-448
    This study sheds light on the incidence of delirium in critical care units and identifies risk factors, crucial for improving patient care in intensive settings.

🏠 Public Awareness Regarding Household Drug Storage, Qassim Region, Saudi Arabia: A Cross-Sectional Study

  • Authors: SAM Abir Elghazaly, Ghada Ben Salah, Nada Ibrahim, Saud Alsahali, Adel M. Widyan, …

  • Year: 2023

  • Citations: 4

  • Source: Risk Management and Healthcare Policy 16 (1), 271-277
    The study focuses on household drug storage practices, aiming to raise public awareness about the importance of proper medication management.

🔄 Recurrent Inguinal Hernia Post-Laparoscopic Repair: A Retrospective Single-Center Study in Qassim Region, Saudi Arabia

  • Authors: BS Assakran, AM Widyan, AS Al-lihimy, AA Aljabali, MA Al-Enizi, …

  • Year: 2021

  • Citations: 4

  • Source: The Cureus Journal of Medical Science 13 (3)
    This paper investigates recurrent inguinal hernia following laparoscopic repair, providing critical data for improving surgical outcomes.

📦 Chance Constrained Approach for Treating Multicriterion Inventory Model with Random Variables in the Constraints

  • Authors: AM Widyan

  • Year: 2020

  • Citations: 4

  • Source: Journal of Statistics Applications & Probability 9 (2), 207-213
    A mathematical approach to inventory management, exploring stochastic parameters and their effect on decision-making in supply chain management.

Hany Ahmed | Numerical Analysis | Best Researcher Award

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Prof. Hany Ahmed | Numerical Analysis | Best Researcher Award

Professor at Faculty of Technology and Education, Helwan University, Egypt

Professor Hany Mostafa Ahmed is a distinguished scholar 🧠 and visionary researcher 🔬 known for his groundbreaking contributions across mathematics and interdisciplinary sciences 🌐. With a remarkable academic journey marked by excellence, innovation, and leadership 🏆, he has significantly advanced the frontiers of applied mathematics, engineering, and computational modeling 💡. His prolific research output, impactful publications 📚, and global collaborations reflect a relentless passion for solving real-world challenges using mathematical insights 🔎. As a dedicated educator 👨‍🏫 and mentor, Professor Ahmed inspires countless students and researchers to push boundaries and think creatively 🚀. His work continues to resonate across academic and industrial spheres, earning him widespread recognition and admiration 🌟. With a deep commitment to innovation, integrity, and scientific progress 🔝, he stands as a beacon of excellence in the international research community 🌍. Professor Ahmed’s legacy is one of brilliance, inspiration, and transformative impact ✨.

Professional Profile 

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📘 Education

Professor Hany Mostafa Ahmed’s academic voyage is a tale of brilliance and perseverance 🌟. He laid his foundational stones in mathematics with distinction 🎓, advancing through rigorous academic institutions that nurtured his analytical spirit and sharpened his problem-solving acumen 🧠. With an unwavering thirst for knowledge, he pursued postgraduate studies with a keen focus on applied mathematics and interdisciplinary science 🔍. Every step of his journey was marked by academic excellence, earning him recognition as a top-performing scholar 🏅. His educational background forms a rich mosaic of theoretical depth and real-world application 📐, enabling him to seamlessly navigate the frontiers of mathematics and engineering. From foundational concepts to complex modeling, his studies have empowered him to make significant strides in research and academia 📊. Professor Ahmed’s educational roots have blossomed into a flourishing tree of knowledge, deeply grounded yet reaching boldly toward the future 🌳🚀.

💼 Professional Experience

Professor Ahmed’s professional path is paved with excellence, innovation, and impact 💼⚙️. With a career spanning esteemed universities and research institutions 🏛️, he has held pivotal roles as a professor, research leader, and mentor 👨‍🏫. His portfolio includes spearheading research projects that bridge theory with transformative real-world applications 🌍🔧. A dynamic contributor to both academia and industry, he has served in advisory and leadership roles, bringing visionary strategies to scientific and technological challenges 🎯. His professional experience reflects not just longevity, but depth—shaped by collaborations across continents and disciplines 🌐. Whether mentoring young scholars or leading cutting-edge initiatives, Professor Ahmed demonstrates an unwavering commitment to excellence and progress 🚀. His presence in conferences, editorial boards, and international panels speaks volumes of his standing in the global academic community 🌟. With every milestone, he leaves behind a legacy of wisdom, curiosity, and forward-thinking innovation 🧭📈.

🔬 Research Interest

Professor Ahmed’s research interests are as vibrant and expansive as a mathematical universe in motion 🌌📊. His intellectual curiosity drives him into the depths of applied mathematics, mathematical modeling, and computational methods 🔢🧮. Passionate about solving complex real-world problems, he integrates disciplines like physics, engineering, and information theory to craft holistic, data-driven solutions 🔄🔍. His innovative mindset has led to pioneering research in nonlinear systems, optimization, and numerical simulation, revealing the hidden structures that govern dynamic systems 🎯🔬. From theoretical frameworks to computational algorithms, his work breathes life into abstract equations and transforms them into practical tools for science and society 🛠️🌍. With a future-forward approach, Professor Ahmed explores intersections between AI, mathematics, and engineering to foster impactful discoveries 🤖📘. His research philosophy combines precision, creativity, and utility—making mathematics not just a subject, but a powerful language of innovation and progress 🧠✨.

🏅 Award and Honor

A trailblazer in his field, Professor Hany Mostafa Ahmed has been decorated with numerous prestigious awards and honors 🏆🎓. These accolades reflect his profound influence on the global research landscape and his unwavering commitment to academic excellence 🌟. Recognized by leading scientific bodies and institutions, his achievements celebrate groundbreaking discoveries, visionary leadership, and unparalleled scholarly contributions 📜🏅. Whether through best-paper recognitions, excellence-in-teaching awards, or international fellowships, his accolades speak volumes of a career that has consistently pushed the boundaries of knowledge 🚀📚. Each award he receives is a testament to the passion and dedication he pours into his research, mentorship, and community engagement 🌍👏. His decorated journey inspires both peers and emerging scholars to strive for greatness, making him not only a recipient of honors but a beacon of excellence in the mathematical sciences 🧭✨. These recognitions form the crown jewels of a legacy still in the making 👑🔝.

Conclusion

Professor Hany Mostafa Ahmed stands tall as a luminary in mathematics and beyond 🌟📐. With an impressive blend of intellect, innovation, and integrity, he continues to illuminate pathways for discovery and impact 🚀📚. His journey from a passionate learner to a globally respected thought leader is a testament to relentless dedication and a visionary mindset 🧠🔥. Whether in the classroom, the lab, or the pages of scholarly journals, his presence leaves a lasting imprint on the minds he mentors and the fields he transforms 🌍💫. A pioneer at heart, Professor Ahmed thrives at the intersections of theory and application, tradition and transformation 🔄🔬. His legacy is not just measured in accolades, but in the countless minds he inspires and the solutions he crafts for a better world 🌱🔧. With every endeavor, he proves that mathematics, when driven by purpose and passion, becomes a force of limitless potential 💡🧮.

 Publications Top Notes

📘 Recent & Noteworthy Publications of Prof. Hany Mostafa Ahmed

  • 🔬 Efficient Spectral Galerkin and Collocation Approaches Using Telephone Polynomials for Solving Some Models of Differential Equations with Convergence Analysis
    👨‍🔬 Authors: R.M. Hafez, H.M. Ahmed, O.M. Alqubori, A.K. Amin, W.M. Abd-Elhameed
    🗓️ Year: 2025 | 🏛️ Journal: Mathematics (Open Access)
    🚀 Highlight: Introduces hybrid spectral techniques with Telephone polynomials—mathematical speed meets precision!

  • ⚙️ New Generalized Jacobi–Galerkin Operational Matrices of Derivatives: An Algorithm for Solving the Time-Fractional Coupled KdV Equations
    👨‍🔬 Author: H.M. Ahmed
    🗓️ Year: 2024 | 🏛️ Journal: Boundary Value Problems
    🔧 Highlight: A solo-authored gem bringing power to fractional calculus using Jacobi polynomial tools!

  • 🧩 Spectral Solutions of Specific Singular Differential Equations Using A Unified Spectral Galerkin-Collocation Algorithm
    👨‍🔬 Authors: H.M. Ahmed, W.M. Abd-Elhameed
    🗓️ Year: 2024 | 🏛️ Journal: Journal of Nonlinear Mathematical Physics
    📈 Citations: 8
    ⚡ Highlight: Tackles singular equations with a robust algorithm fusion—accuracy meets elegance!

  • 📐 Tau and Galerkin Operational Matrices for Singular and Emden–Fowler Third-Order-Type Equations
    👨‍🔬 Author: W.M. Abd-Elhameed, H.M. Ahmed
    🗓️ Year: 2022 | 🏛️ Journal: Int. J. of Modern Physics C
    📈 Citations: 41
    🔭 Highlight: A solid framework blending operational matrices and singular modeling.

  • 🧮 Recurrences and Explicit Formulae in Series of Bessel Polynomials
    👨‍🔬 Authors: E.H. Doha, H.M. Ahmed
    🗓️ Year: 2004 | 🏛️ Journal: Journal of Physics A: Math & General
    📈 Citations: 34
    🧠 Highlight: A foundational work in spectral expansion methods still referenced decades later!

  • 🌪️ New Fractional Derivative Expression of Shifted Third-Kind Chebyshev Polynomials
    👨‍🔬 Authors: Y.H. Youssri, W.M. Abd-Elhameed, H.M. Ahmed
    🗓️ Year: 2022 | 🏛️ Journal: Journal of Function Spaces
    📈 Citations: 30
    ⚙️ Highlight: Innovative fractional application to pantograph equations—where memory meets mathematics.

  • 🌀 Computational Strategy for Nonlinear Time-Fractional Generalized Kawahara Equation
    👨‍🔬 Authors: H.M. Ahmed, R.M. Hafez, W.M. Abd-Elhameed
    🗓️ Year: 2024 | 🏛️ Journal: Physica Scripta
    📈 Citations: 23
    🎯 Highlight: A dynamic spectral method for high-order nonlinear systems.

  • 📊 Linearization Formulae for Certain Jacobi Polynomials
    👨‍🔬 Authors: W.M. Abd-Elhameed, E.H. Doha, H.M. Ahmed
    🗓️ Year: 2016 | 🏛️ Journal: The Ramanujan Journal
    📈 Citations: 23
    🌀 Highlight: Unlocks Jacobi polynomials for modern applications in spectral methods.

  • 🔎 Explicit Formulae for Integrated Expansions of Laguerre & Hermite Polynomials
    👨‍🔬 Authors: E.H. Doha, H.M. Ahmed, S.I. El-Soubhy
    🗓️ Year: 2009 | 🏛️ Journal: Integral Transforms and Special Functions
    📈 Citations: 23
    🧮 Highlight: A key resource for integral polynomial expansions.

  • 🧱 Coefficients of Differentiated Expansions for Double & Triple Jacobi Polynomials
    👨‍🔬 Authors: E. Doha, W.M. Abd-Elhameed, H. Ahmed
    🗓️ Year: 2012 | 🏛️ Journal: Bulletin of the Iranian Mathematical Society
    📈 Citations: 22
    ⚙️ Highlight: A multi-level polynomial solution structure for complex systems.

  • 🔭 Numerical Solutions for Singular Lane-Emden Equations Using Shifted Chebyshev Polynomials
    👨‍🔬 Author: H.M. Ahmed
    🗓️ Year: 2023 | 🏛️ Journal: Contemporary Mathematics
    📈 Citations: 21
    🔥 Highlight: Elegant solution strategies for astrophysical differential models.

  • 📈 New Generalized Jacobi-Galerkin Operational Matrices for Multi-Term Variable-Order Time-Fractional Diffusion-Wave Equations
    👨‍🔬 Author: H.M. Ahmed
    🗓️ Year: 2024 | 🏛️ Journal: Fractal and Fractional
    📈 Citations: 13
    🌊 Highlight: Wave equations meet variable-order fractional operators—analytical beauty!

  • 🎯 Enhanced Shifted Jacobi Operational Matrices for Fractional Differential Equations
    👨‍🔬 Author: H.M. Ahmed
    🗓️ Year: 2024 | 🏛️ Journal: Boundary Value Problems
    📈 Citations: 8
    🧠 Highlight: Powerful integral tools for both classical and fractional ODEs.

  • 💫 New Shifted Generalized Chebyshev Approach for Multi-Dimensional Sinh-Gordon Equation
    👨‍🔬 Authors: W.M. Abd-Elhameed, H.M. Ahmed, M.A. Zaky, R.M. Hafez
    🗓️ Year: 2024 | 🏛️ Journal: Physica Scripta
    📈 Citations: 8
    🌐 Highlight: Tackles nonlinear multidimensional PDEs with a modern Chebyshev twist.

 

Shijie Zhao | Applied Mathematics | Best Researcher Award

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Assoc. Prof. Dr. Shijie Zhao | Applied Mathematics | Best Researcher Award

Associate Professor at Liaoning Technical University, China

Assoc. Prof. Dr. Shijie Zhao is a distinguished researcher and academic at the Institute of Intelligence Science and Optimization, Liaoning Technical University, China. With a Ph.D. in Optimization and Management Decisions, his expertise lies in metaheuristic optimization, multi-objective optimization, and underwater navigation and positioning. He has made significant contributions through innovative algorithm designs and novel mathematical models, particularly in high-dimensional feature selection and robust navigation techniques. Dr. Zhao has published 9 SCI-indexed journal articles and participated in over 10 nationally and provincially funded research projects. He serves as a reviewer for leading journals including those by Elsevier, Springer, and IEEE, and holds memberships in 13 professional bodies. With strong programming skills, rigorous analytical thinking, and a commitment to scientific innovation, Dr. Zhao has also earned four research awards. His work bridges theoretical mathematics and practical applications, making him a valuable contributor to the global research community in intelligent systems and optimization.

Professional Profile 

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Education

Assoc. Prof. Dr. Shijie Zhao has a robust academic foundation anchored at Liaoning Technical University, China. He earned his B.S. degree in Science of Information & Computation in 2012, followed by a successive postgraduate and doctoral program in Mathematics and Applied Mathematics from 2012 to 2014. He went on to complete his Ph.D. in Optimization and Management Decisions in 2018. His educational trajectory highlights a deep commitment to the field of mathematical optimization and intelligent systems. Dr. Zhao’s academic excellence is also reflected in his ability to integrate theoretical knowledge with practical problem-solving, laying a strong foundation for his future research. His interdisciplinary approach blends pure mathematics with applied optimization techniques, making him uniquely positioned to contribute to emerging challenges in computational intelligence, machine learning, and navigation systems. His comprehensive training has equipped him with skills in advanced mathematical modeling, algorithm design, and statistical analysis—all crucial for his research trajectory.

Professional Experience

Dr. Shijie Zhao began his professional journey as a faculty member at Liaoning Technical University, where he is now serving as an Associate Professor and Director of the Institute of Intelligence Science and Optimization. Since 2012, he has progressed through a series of academic roles, including a postdoctoral tenure beginning in 2020. He has successfully led and participated in a range of scientific research projects sponsored by institutions such as the China Postdoctoral Science Foundation and the Department of Science & Technology of Liaoning Province. In addition to his teaching responsibilities, he has been actively involved in administrative, academic, and research leadership roles. Dr. Zhao has served as a reviewer for numerous high-impact international journals and conferences and has editorial roles in reputed scientific publications. His contributions to collaborative and interdisciplinary projects underscore his ability to bridge research and real-world applications, enhancing his standing as a key contributor in intelligent systems research.

Research Interest

Assoc. Prof. Dr. Shijie Zhao’s research interests lie at the intersection of intelligent optimization, computational mathematics, and advanced data analytics. He specializes in the development and enhancement of metaheuristic and multi-objective optimization algorithms, addressing both theoretical and application-driven challenges. His work has pioneered novel strategies for high-dimensional feature selection and optimization in machine learning contexts. Another key area of his focus is underwater navigation and positioning, where he has introduced innovative models for enhancing gravity navigation accuracy. With a strong foundation in mathematics, Dr. Zhao combines theoretical rigor with practical applicability, ensuring that his research contributes both to academic knowledge and technological development. His recent work explores how optimization strategies can be integrated into real-time systems, with implications in robotics, autonomous navigation, and engineering design. By addressing complex computational problems, Dr. Zhao’s research plays a vital role in driving forward the capabilities of intelligent systems and adaptive algorithms.

Award and Honor

Dr. Shijie Zhao has earned multiple accolades in recognition of his impactful contributions to scientific research and innovation. He has received four prestigious research awards for his work in intelligent systems, mathematical optimization, and applied computational modeling. His leadership in various national and provincial research initiatives has further cemented his reputation as a top-tier researcher in his domain. In addition to these honors, he has held editorial and reviewer positions for over ten internationally recognized journals, including publications by IEEE, Springer, and Elsevier—an acknowledgment of his expertise and academic integrity. Dr. Zhao is also an active member of 13 professional bodies, reflecting his global engagement and scholarly influence. His participation in high-impact collaborative projects and his growing citation index underscore the recognition and respect he commands in the research community. These honors validate his innovative spirit and unwavering dedication to advancing knowledge in mathematics and intelligent computing.

Conclusion

In conclusion, Assoc. Prof. Dr. Shijie Zhao exemplifies excellence in mathematical research, optimization theory, and intelligent system applications. His educational background, combined with over a decade of professional experience, positions him as a thought leader in his field. Through pioneering contributions to metaheuristic algorithms, multi-objective optimization, and underwater navigation, he bridges the gap between theoretical frameworks and practical technologies. His commitment to research integrity, academic service, and innovation has earned him widespread recognition and professional accolades. As an educator, leader, and scientist, Dr. Zhao’s multifaceted contributions reflect a deep dedication to advancing scientific knowledge and solving complex global challenges. His future endeavors are poised to have even greater impacts on the fields of artificial intelligence, data-driven decision-making, and intelligent navigation. With a strong publication record, a solid foundation in mathematics, and an expanding research network, Dr. Zhao continues to be a prominent and influential figure in the global academic landscape.

Publications Top Notes

  • Title: ID2TM: A Novel Iterative Double-Cross Domain-Center Transfer-Matching Method for Underwater Gravity-Aided Navigation
    Authors: Shijie Zhao, Zhiyuan Dou, Huizhong Zhu, Wei Zheng, Yifan Shen
    Year: 2025
    Source: IEEE Internet of Things Journal

  • Title: OS-BiTP: Objective sorting-informed bidomain-information transfer prediction for dynamic multiobjective optimization
    Authors: Shijie Zhao, Tianran Zhang, Lei Zhang, Jinling Song
    Year: 2025
    Source: Swarm and Evolutionary Computation

  • Title: Mirage search optimization: Application to path planning and engineering design problems
    Authors: Jiahao He, Shijie Zhao, Jiayi Ding, Yiming Wang
    Year: 2025
    Source: Advances in Engineering Software

  • Title: Twin-population Multiple Knowledge-guided Transfer Prediction Framework for Evolutionary Dynamic Multi-Objective Optimization
    Authors: Shijie Zhao, Tianran Zhang, Miao Chen, Lei Zhang
    Year: 2025
    Source: Applied Soft Computing

  • Title: VC-TpMO: V-dominance and staged dynamic collaboration mechanism based on two-population for multi- and many-objective optimization algorithm
    Authors: Shijie Zhao, Shilin Ma, Tianran Zhang, Miao Chen
    Year: 2025
    Source: Expert Systems with Applications

  • Title: A Novel Cross-Line Adaptive Domain Matching Algorithm for Underwater Gravity Aided Navigation
    Authors: Shijie Zhao, Wei Zheng, Zhaowei Li, Huizhong Zhu, Aigong Xu
    Year: 2024
    Source: IEEE Geoscience and Remote Sensing Letters

  • Title: Triangulation topology aggregation optimizer: A novel mathematics-based meta-heuristic algorithm for continuous optimization and engineering applications
    Authors: Shijie Zhao, Tianran Zhang, Liang Cai, Ronghua Yang
    Year: 2024
    Source: Expert Systems with Applications

  • Title: Improving Matching Efficiency and Out-of-Domain Positioning Reliability of Underwater Gravity Matching Navigation Based on a Novel Domain-Center Adaptive-Transfer Matching Method
    Authors: Shijie Zhao, Wei Zheng, Zhaowei Li, Huizhong Zhu, Aigong Xu
    Year: 2023
    Source: IEEE Transactions on Instrumentation and Measurement

  • Title: A dynamic support ratio of selected feature-based information for feature selection
    Authors: Shijie Zhao, Mengchen Wang, Shilin Ma, Qianqian Cui
    Year: 2023
    Source: Engineering Applications of Artificial Intelligence

  • Title: Sea-horse optimizer: a novel nature-inspired meta-heuristic for global optimization problems
    Authors: Shijie Zhao, Tianran Zhang, Shilin Ma, Mengchen Wang
    Year: 2023
    Source: Applied Intelligence

  • Title: Improving the Out-of-Domain Matching Reliability and Positioning Accuracy of Underwater Gravity Matching Navigation Based on a Novel Cyclic Boundary Semisquare-Domain Researching Method
    Authors: Shijie Zhao, Wei Zheng, Zhaowei Li, Huizhong Zhu, Aigong Xu
    Year: 2023
    Source: IEEE Sensors Journal

  • Title: A feature selection method via relevant-redundant weight
    Authors: Shijie Zhao, Mengchen Wang, Shilin Ma, Qianqian Cui
    Year: 2022
    Source: Expert Systems with Applications

  • Title: Dandelion Optimizer: A nature-inspired metaheuristic algorithm for engineering applications
    Authors: Shijie Zhao, Tianran Zhang, Shilin Ma, Miao Chen
    Year: 2022
    Source: Engineering Applications of Artificial Intelligence

  • Title: Improving Matching Efficiency and Out-of-domain Reliability of Underwater Gravity Matching Navigation Based on a Novel Soft-margin Local Semicircular-domain Re-searching Model
    Authors: Shijie Zhao, Wei Zheng, Zhaowei Li, Huizhong Zhu, Aigong Xu
    Year: 2022
    Source: Remote Sensing

  • Title: Improving Matching Accuracy of Underwater Gravity Matching Navigation Based on Iterative Optimal Annulus Point Method with a Novel Grid Topology
    Authors: Shijie Zhao, Wei Zheng, Zhaowei Li, Aigong Xu, Huizhong Zhu
    Year: 2021
    Source: Remote Sensing

  • Title: A Novel Quantum Entanglement‐Inspired Meta‐heuristic Framework for Solving Multimodal Optimization Problems
    Authors: Shijie Zhao
    Year: 2021
    Source: Chinese Journal of Electronics

  • Title: A Novel Modified Tree‐Seed Algorithm for High‐Dimensional Optimization Problems
    Authors: Shijie Zhao
    Year: 2020
    Source: Chinese Journal of Electronics

 

Ashot Gevorkyan | Applied Mathematics | Pioneer Researcher Award

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Prof. Ashot Gevorkyan | Applied Mathematics | Pioneer Researcher Award

Dr.Sci. at Institute for Informatics and Automation Problems NAS of Republic of Armenia

Professor Ashot Sergei Gevorkyan is a distinguished theoretical physicist and mathematician specializing in quantum physics, mathematical modeling, and complex dynamical systems. Serving as Head of Scientific Direction for Modeling of Multiscale Physical-Chemical Processes, he has significantly contributed to foundational quantum mechanics, quantum chaos, stochastic systems, and spin dynamics. With a PhD from Leningrad State University and a Doctor of Sciences from St. Petersburg State University, his career spans prestigious institutions across Armenia and Russia. Prof. Gevorkyan has led numerous international research projects, including INTAS and ISTC grants, and developed high-performance parallel algorithms for quantum simulations. His prolific publication record in leading journals like Foundations of Physics, Physics of Atomic Nuclei, and Particles highlights groundbreaking work on quantum vacuum, three-body systems, and self-organizing processes. A former editorial board member of the Journal of Computational Science (Elsevier), he continues to push the boundaries of quantum theory and computational modeling with remarkable depth and innovation.

Professional Profile 

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Education

Professor Ashot Gevorkyan earned his foundational education in theoretical physics and mathematics at the Leningrad State University, where he received his PhD in Physics and Mathematics in 1978. His doctoral work focused on nonlinear dynamical systems and quantum mechanics. He later earned the prestigious Doctor of Sciences degree in 1990 from the renowned St. Petersburg State University, cementing his expertise in the fields of quantum physics and applied mathematics. Throughout his academic journey, Prof. Gevorkyan has continually integrated rigorous mathematical frameworks with physical theory, demonstrating a strong interdisciplinary foundation. His academic background set the stage for decades of pioneering research at the interface of theoretical physics, stochastic dynamics, and computational modeling. In addition to his formal degrees, Prof. Gevorkyan has participated in numerous international workshops, advanced courses, and research collaborations, enriching his academic repertoire and keeping him at the forefront of contemporary physics and mathematical innovation.

Professional Experience

Prof. Ashot Gevorkyan has held a variety of prominent academic and research roles throughout his distinguished career. He began as a researcher at the Yerevan Physics Institute and later joined the Institute for Informatics and Automation Problems of the National Academy of Sciences of Armenia, where he led groundbreaking work in theoretical modeling and computational physics. He also served as a professor at the State Engineering University of Armenia and collaborated internationally with institutions in Russia and across Europe. Currently, he is Head of the Scientific Direction for Modeling of Multiscale Physical-Chemical Processes. Prof. Gevorkyan has been a principal investigator in multiple large-scale international research projects under the auspices of INTAS, ISTC, and other funding bodies, focusing on quantum chaos, complex systems, and nonlinear dynamics. His leadership in scientific modeling and computational theory has earned him a reputation as a trailblazer in both academic and applied physics communities.

Research Interest

Prof. Ashot Gevorkyan’s research interests lie at the intersection of theoretical physics, quantum mechanics, and complex dynamical systems. He is particularly renowned for his work in quantum chaos, stochastic dynamics, and modeling of multiscale systems. His investigations explore the nature of quantum vacuum, self-organizing processes in quantum systems, and nonlinear spin dynamics in stochastic fields. He has also made notable advances in mathematical modeling using high-performance parallel computing to simulate many-body quantum systems and dissipative environments. His work often combines mathematical rigor with physical intuition, producing results that influence both theory and practical applications. Prof. Gevorkyan’s research portfolio extends to optical turbulence, quantum three-body problems, and fractal structures in open quantum systems. His cross-disciplinary approach has fostered collaborations across mathematics, physics, and computer science, contributing significantly to our understanding of complex physical phenomena and enabling new computational techniques in modern physics.

Award and Honor

Throughout his career, Prof. Ashot Gevorkyan has received numerous awards and honors recognizing his exceptional contributions to science. He has been honored by leading scientific institutions for his pioneering work in quantum theory and mathematical modeling. His projects have received support and recognition from international research programs such as INTAS (International Association for the promotion of cooperation with scientists from the New Independent States of the former Soviet Union) and ISTC (International Science and Technology Center), reflecting the global impact of his research. He has been invited to serve as a keynote speaker and visiting scientist at several prominent international conferences and workshops. Prof. Gevorkyan also served on the editorial board of the Journal of Computational Science (Elsevier), a role that underscores his status as a leading voice in the computational physics community. These accolades affirm his influence in shaping contemporary research across theoretical and applied physics.

Conclusion

Professor Ashot Gevorkyan stands as a luminary in the fields of theoretical physics and computational mathematics. His deep expertise in quantum systems, chaotic dynamics, and complex modeling has not only advanced fundamental science but also provided new computational tools for understanding nature’s most intricate processes. With a career spanning over four decades, he has demonstrated an unwavering commitment to scientific excellence through research, teaching, and international collaboration. His interdisciplinary work bridges theoretical insights with practical innovations, setting a high standard in modern scientific inquiry. Recognized both nationally and internationally, Prof. Gevorkyan continues to inspire the global scientific community through his profound intellect, visionary ideas, and groundbreaking publications. His legacy is defined by a lifelong pursuit of knowledge and a passion for decoding the complexities of the universe through mathematics and physics.

Publications Top Notes

  • Title: General Three-Body Problem in Conformal-Euclidean Space: New Properties of a Low-Dimensional Dynamical System
    Authors: A.S. Gevorkyan, A.V. Bogdanov, V.V. Mareev
    Year: 2024
    Source: Particles, 2024

  • Title: Quantum Chromodynamics of the Nucleon in Terms of Complex Probabilistic Processes
    Authors: A.S. Gevorkyan, A.V. Bogdanov
    Year: 2024
    Citations: 1
    Source: Symmetry, 2024

  • Title: Time-Dependent 4D Quantum Harmonic Oscillator and Reacting Hydrogen Atom
    Authors: A.S. Gevorkyan, A.V. Bogdanov
    Year: 2023
    Citations: 1
    Source: Symmetry, 2023

  • Title: Theoretical and Numerical Study of Self-Organizing Processes in a Closed System Classical Oscillator and Random Environment
    Authors: A.S. Gevorkyan, A.V. Bogdanov, V.V. Mareev, K.A. Movsesyan
    Year: 2022
    Citations: 2
    Source: Mathematics, 2022

  • Title: Hidden Dynamical Symmetry and Quantum Thermodynamics from the First Principles: Quantized Small Environment
    Authors: A.S. Gevorkyan, A.V. Bogdanov, V.V. Mareev
    Year: 2021
    Citations: 3
    Source: Symmetry, 2021

  • Title: Gamma Radiation Production Using Channeled Positron Annihilation in Crystals
    Authors: A.S. Gevorkyan, K.B. Oganesyan, Y.V. Rostovtsev, G. Kurizki
    Year: 2015
    Citations: 61
    Source: Laser Physics Letters, 12(7), 076002

  • Title: Dielectric Permittivity Superlattice Formation
    Authors: G.A. Amatuni, A.S. Gevorkyan, S.G. Gevorkian, A.A. Hakobyan, K.B. Oganesyan, et al.
    Year: 2008
    Citations: 60
    Source: Laser Physics, 18, 608–620

  • Title: Statistical Properties of Random Environment of 1D Quantum N-Particles System in External Field
    Authors: A.S. Gevorkyan, A.A. Gevorkyan, K.B. Oganesyan
    Year: 2010
    Citations: 45
    Source: Physics of Atomic Nuclei, 73, 320–325

  • Title: A Disordered 1D Quantum N-Particle System in an Environment under the Influence of an External Field
    Authors: A.S. Gevorkyan, A.A. Gevorkyan, K.B. Oganesyan, G.O. Sargsyan, et al.
    Year: 2010
    Citations: 44
    Source: Physica Scripta, 2010 (T140), 014045

  • Title: Quantum-Mechanical Channel of Interactions Between Macroscopic Systems
    Authors: R.S. Sargsyan, G.G. Karamyana, A.S. Gevorkyan, A.Y. Khrennikov
    Year: 2010
    Citations: 22
    Source: AIP Conference Proceedings, 1232(1), 267

  • Title: Random Motion of Quantum Harmonic Oscillator – Thermodynamics of Nonrelativistic Vacuum
    Authors: A.V. Bogdanov, A.S. Gevorkyan, A.G. Grigoryan
    Year: 1999
    Citations: 20
    Source: AMS IP Studies in Advanced Mathematics, 13, 81–112

  • Title: Bioscope: New Sensor for Remote Evaluation of the Physiological State of Biological Systems
    Authors: R.S. Sargsyan, A.S. Gevorkyan, G.G. Karamyan, V.T. Vardanyan, et al.
    Year: 2011
    Citations: 15
    Source: Physical Properties of Nanosystems, 299–309

  • Title: Three Body Multichannel Scattering as a Model of Irreversible Quantum Mechanics
    Authors: A.V. Bogdanov, A.S. Gevorkyan
    Year: 1997
    Citations: 13
    Source: arXiv preprint, quant-ph/9712022

  • Title: Nonrelativistic Quantum Mechanics with Fundamental Environment
    Author: A.S. Gevorkyan
    Year: 2012
    Citations: 12
    Source: Theoretical Concepts of Quantum Mechanics, 161–187

  • Title: Retracted: New Mathematical Conception and Computation Algorithm for Study of Quantum 3D Disordered Spin System under the Influence of External Field
    Authors: A.S. Gevorkyan, C.K. Hu, S. Flach
    Year: 2010
    Citations: 12
    Source: Transactions on Computational Science VII, E1–E1

  • Title: Regular and Chaotic Quantum Dynamics in Atom-Diatom Reactive Collisions
    Authors: A.S. Gevorkyan, A.V. Bogdanov, G. Nyman
    Year: 2008
    Citations: 12
    Source: Physics of Atomic Nuclei, 71, 876–883

  • Title: Exactly Solvable Models of Stochastic Quantum Mechanics within the Framework of Langevin-Schroedinger Type Equations
    Author: A.S. Gevorkyan
    Year: 2004
    Citations: 11
    Source: Topics in Analysis and its Applications, 415–442

  • Title: A New Parallel Algorithm for Simulation of a Spin-Glass System on Scales of Space-Time Periods of an External Field
    Authors: A.S. Gevorkyan, A.G. Abadzhyan, G.S. Sukiasyan
    Year: 2011
    Citations: 10
    Source: Lab. of Information Technologies

 

Muhammad Marwan | Applied Mathematics | Best Researcher Award

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Assoc. Prof. Dr. Muhammad Marwan | Applied Mathematics | Best Researcher Award

Associate professor at Linyi university, China

Dr. Marwan Muhammad is a distinguished researcher in applied mathematics, specializing in bifurcation theory, chaos, fractals, mobile chaotic robots, control theory, synchronization, and secure communication. With an H-index of 11, he has published extensively in high-impact journals such as Fractals, Nonlinear Dynamics, and IEEE-IoT. Currently an Associate Professor at Linyi University, China, he has over a decade of teaching and research experience, including a postdoctoral fellowship at Zhejiang Normal University (ZJNU). His work integrates mathematical theory with practical applications in cryptography, robotics, and UAV dynamics. Dr. Muhammad has successfully supervised multiple Master’s students and collaborated on funded research projects. His global academic exposure, particularly in China and Pakistan, enhances his research perspective. While his contributions are significant, further international collaborations, industry engagement, and competitive research grants would solidify his standing as a leading expert in computational and applied mathematics.

Professional Profile

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ORCID Profile

Education

Dr. Marwan Muhammad holds a Ph.D. in Applied Mathematics from the Institute of Space Technology, Pakistan, where he specialized in nonlinear dynamics and stability analysis. His doctoral research focused on applying nonlinear tools to chaotic systems. He earned an M.S. in Mathematics from COMSATS Institute of Information Technology, Pakistan, with a thesis on Fejér-Hadamard inequalities for convex functions. His academic journey began with a B.S. in Mathematics from Islamia College University, Peshawar, where he was awarded a Gold Medal for his outstanding performance. His early education includes an HSSC and SSC from the Peshawar Board, securing top grades. Throughout his academic career, Dr. Muhammad demonstrated a strong foundation in theoretical and applied mathematics, equipping him with the expertise needed to excel in research and teaching. His education has played a pivotal role in shaping his research trajectory, particularly in bifurcation theory, chaos, fractals, and control systems.

Professional Experience

Dr. Marwan Muhammad has over a decade of experience in academia and research. He is currently an Associate Professor at Linyi University, China, where he teaches and supervises research in applied mathematics. Previously, he completed a postdoctoral fellowship at Zhejiang Normal University (ZJNU), China, focusing on advanced topics in nonlinear dynamics. His professional journey includes serving as a Lecturer at Islamabad Model Postgraduate College, Riphah International University, and the Higher Education Department of Peshawar. His teaching portfolio covers a broad range of mathematical disciplines, including computational mathematics, dynamical systems, and mathematical modeling. Additionally, he has worked on a research project funded by the Higher Education Commission (HEC) of Pakistan, leading to several high-impact publications. His international exposure, particularly in China and Pakistan, has enriched his academic perspective, allowing him to integrate diverse mathematical techniques into his research and contribute significantly to the global scientific community.

Research Interest

Dr. Marwan Muhammad’s research focuses on nonlinear dynamics, bifurcation theory, chaos, fractals, control theory, synchronization, and secure communication. His work in mobile chaotic robots and multi-scroll attractors has applications in cryptography, robotics, and artificial intelligence. He is particularly interested in the mathematical modeling of complex systems, including UAV dynamics, plasma systems, and satellite chaotic systems. His contributions extend to fractional calculus, where he has analyzed tumor-immune interactions and porous medium equations. His research also explores numerical methods for solving chaotic systems, emphasizing computational efficiency and accuracy. Dr. Muhammad’s interdisciplinary approach integrates mathematics, physics, and engineering, leading to innovative solutions for real-world problems. His recent publications in journals like Fractals and Nonlinear Dynamics demonstrate his ability to bridge theoretical insights with practical applications, positioning him as a key contributor to the fields of computational and applied mathematics.

Awards and Honors

Dr. Marwan Muhammad has been recognized for his academic excellence and research contributions. He was awarded a Gold Medal for securing the highest distinction in his undergraduate studies at Islamia College University, Peshawar. His research has been published in prestigious journals, highlighting his impact in the field of applied mathematics. His contributions to nonlinear dynamics and chaotic systems have earned him invitations to collaborate on international research projects. Additionally, his supervision of Master’s students and successful research collaborations reflect his commitment to academic mentorship. His work has received recognition from funding agencies such as the Higher Education Commission (HEC) of Pakistan, under which he successfully led research projects. While his accolades are notable, continued participation in international awards, securing competitive research grants, and expanding collaborations with leading global institutions would further elevate his reputation as a distinguished researcher in computational and applied mathematics.

Conclusion

Dr. Marwan Muhammad is an accomplished mathematician whose research in nonlinear dynamics, chaos, and fractals has significantly contributed to applied mathematics. With a strong educational foundation, international research experience, and extensive teaching background, he has established himself as a key figure in computational mathematics. His work has practical applications in cryptography, robotics, and control systems, making it relevant to both academia and industry. While his publications and collaborations are impressive, expanding his research network, securing additional funding, and engaging in interdisciplinary projects could further enhance his impact. His dedication to mentoring students and advancing mathematical knowledge underscores his potential for continued success. With sustained efforts, Dr. Muhammad is poised to become a leading authority in his field, driving innovation and discovery in mathematical sciences.

Publications Top Noted

  • Coexisting attractor in a gyrostat chaotic system via basin of attraction and synchronization of two nonidentical mechanical systems
    Authors: M. Marwan, V. Dos Santos, M.Z. Abidin, A. Xiong
    Year: 2022
    Citations: 11
    Source: Mathematics, 10(11), 1914

  • Retardational effect and Hopf bifurcations in a new attitude system of quad-rotor unmanned aerial vehicle
    Authors: M. Fiaz, M. Aqeel, M. Marwan, M. Sabir
    Year: 2021
    Citations: 11
    Source: International Journal of Bifurcation and Chaos, 31(09), 2150127

  • Control and numerical analysis for cancer chaotic system
    Authors: J. Iqbal, S. Ahmad, M. Marwan, M. Shaukat
    Year: 2020
    Citations: 11
    Source: Archive of Applied Mechanics, 90, 2597-2608

  • Image cryptography communication using FPAA-based multi-scroll chaotic system
    Authors: K. Karawanich, J. Chimnoy, F. Khateb, M. Marwan, P. Prommee
    Year: 2024
    Citations: 8
    Source: Nonlinear Dynamics, 112(6), 4951-4976

  • Hopf bifurcation analysis for liquid-filled gyrostat chaotic system and design of a novel technique to control slosh in spacecrafts
    Authors: M. Sabir, S. Ahmad, M. Marwan
    Year: 2021
    Citations: 8
    Source: Open Physics, 19(1), 539-550

  • Investigation of fractional-ordered tumor-immune interaction model via fractional-order derivative
    Authors: G. Ali, M. Marwan, U.U. Rahman, M. Hleili
    Year: 2024
    Citations: 7
    Source: Fractals, 32(06), 1-10

  • Generalized Full Order Observer Subject to Incremental Quadratic Constraint (IQC) for a Class of Fractional Order Chaotic Systems
    Authors: M. Marwan, M.Z. Abidin, H. Kalsoom, M. Han
    Year: 2022
    Citations: 7
    Source: Fractal and Fractional, 6(4), 189

  • Generation of multi-scrolls in coronavirus disease 2019 (COVID-19) chaotic system and its impact on the zero-COVID policy
    Authors: M. Marwan, M. Han, R. Khan
    Year: 2023
    Citations: 6
    Source: Scientific Reports, 13, 13954

  • Novel approaches for solving fuzzy fractional partial differential equations
    Authors: M. Osman, Y. Xia, M. Marwan, O.A. Omer
    Year: 2022
    Citations: 6
    Source: Fractal and Fractional, 6(11), 656

  • Montgomery identity and Ostrowski-type inequalities for generalized quantum calculus through convexity and their applications
    Authors: H. Kalsoom, M. Vivas-Cortez, M.Z. Abidin, M. Marwan, Z.A. Khan
    Year: 2022
    Citations: 6
    Source: Symmetry, 14(7), 1449

  • Adaptive observer design for systems with incremental quadratic constraints and nonlinear outputs—application to chaos synchronization
    Authors: L. Moysis, M. Tripathi, M.K. Gupta, M. Marwan, C. Volos
    Year: 2022
    Citations: 6
    Source: Archives of Control Sciences, 32

  • Mixed obstacle avoidance in mobile chaotic robots with directional keypads and its non-identical generalized synchronization
    Authors: M. Marwan, F. Li, S. Ahmad, N. Wang
    Year: 2025
    Citations: 5
    Source: Nonlinear Dynamics, 113(3), 2377-2390

  • Chaotic behavior of Lorenz-based chemical system under the influence of fractals
    Authors: M. Marwan, A. Xiong, M. Han, R. Khan
    Year: 2024
    Citations: 4
    Source: Match Communications in Mathematical and Computer Chemistry, 91(2), 307-336

  • Control analysis of virotherapy chaotic system
    Authors: J. Iqbal, S. Ahmad, M. Marwan, A. Rafiq
    Year: 2022
    Citations: 4
    Source: Journal of Biological Dynamics, 16(1), 585-595

  • Hidden covers (wings) in the fractals of chaotic systems using advanced Julia function
    Authors: M. Marwan, M. Han, M. Osman
    Year: 2023
    Citations: 3
    Source: Fractals, 31(09), 2350125

  • Generalized external synchronization of networks based on clustered pandemic systems—The approach of COVID-19 towards influenza
    Authors: M. Marwan, M. Han, R. Khan
    Year: 2023
    Citations: 3
    Source: PLOS ONE, 18(10), e0288796

  • Existence of Solution and Self‐Exciting Attractor in the Fractional‐Order Gyrostat Dynamical System
    Authors: M. Marwan, G. Ali, R. Khan
    Year: 2022
    Citations: 3
    Source: Complexity, 2022(1), 3505634

  • On the analytical approach of codimension-three degenerate Bogdanov-Takens (BT) bifurcation in satellite dynamical system
    Authors: M. Marwan, M.Z. Abidin
    Year: 2023
    Citations: 2
    Source: Journal of Nonlinear Modeling and Analysis

  • On the global well-posedness of rotating magnetohydrodynamics equations with fractional dissipation
    Authors: M.Z. Abidin, M. Marwan, H. Kalsoom, O.A. Omer
    Year: 2022
    Citations: 2
    Source: Fractal and Fractional, 6(6), 340

  • Semi-analytical analysis of a fractional-order pandemic dynamical model using non-local operator
    Authors: M. Marwan, G. Ali, F. Li, S.A.O. Abdallah, T. Saidani
    Year: 2025
    Source: Fractals

 

Felix Sadyrbaev | Applied Mathematics | Best Researcher Award

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Prof. Felix Sadyrbaev | Applied Mathematics | Best Researcher Award

Researcher at Institute of Mathematics and Computer Science, University of Latvia (LU MII abbreviated), Latvia

Professor Felix Sadyrbaev is a distinguished mathematician specializing in dynamical systems, boundary value problems, and mathematical modeling, particularly in network theory and gene regulatory networks. He earned his Ph.D. from Belorussian State University (1982) and completed his habilitation at Latvian State University (1995). Currently, he serves as the Head of Laboratory at the Institute of Mathematics and Computer Science, University of Latvia, and as a Professor and Director of the Doctorate Program in Mathematics at Daugavpils University. With over 190 scholarly publications and active participation in multiple International Congresses of Mathematicians, he has significantly contributed to mathematical research and education. A member of the Latvian and American Mathematical Societies, he also serves on editorial boards of international mathematical journals. Recognized for his contributions, he was elected a Full Member of the Academy of Sciences of Latvia in 2021, further solidifying his impact on the global mathematical community.

Professional Profile 

Scopus Profile
ORCID Profile

Education

Professor Felix Sadyrbaev completed his undergraduate studies at Latvian State University (Riga, former USSR) and later pursued his Ph.D. in Mathematics at Belorussian State University (Minsk) in 1982. His doctoral research focused on dynamical systems, particularly boundary value problems and qualitative theory. In 1995, he earned his habilitation from Latvian State University, further advancing his expertise in mathematical modeling and optimization theory. His academic journey reflects a strong foundation in both theoretical and applied mathematics, enabling him to contribute significantly to various research domains. His education in leading institutions of the former USSR provided him with rigorous training in mathematical analysis, which has been instrumental in shaping his research career. Over the years, his academic background has allowed him to bridge different areas of mathematics, making significant contributions to network theory, gene regulatory networks, and mathematical optimization. His expertise continues to drive innovative research in applied and theoretical mathematics.

Professional Experience

Professor Sadyrbaev has had a distinguished career in academia and research spanning over four decades. Since 1978, he has been affiliated with the Institute of Mathematics and Computer Science at the University of Latvia, where he currently serves as the Head of Laboratory. In 1999, he joined Daugavpils University as a Professor and Director of the Doctorate Program in Mathematics, contributing significantly to the academic development of future researchers. His leadership roles have involved mentoring Ph.D. students, directing mathematical research initiatives, and fostering collaborations with international institutions. As an expert in dynamical systems and mathematical modeling, he has played a key role in advancing the field both locally and globally. His participation in international awards and research projects underscores his commitment to academic excellence. His long-standing association with multiple institutions highlights his dedication to fostering innovation, research collaboration, and the advancement of mathematical sciences.

Research Interest

Professor Sadyrbaev’s research interests lie in the areas of dynamical systems, boundary value problems, and mathematical modeling, with a strong focus on network theory and gene regulatory networks. His work in qualitative theory and optimization has been instrumental in advancing mathematical methods for solving complex real-world problems. He has contributed significantly to differential equations, stability analysis, and nonlinear dynamics, providing insights into critical mathematical frameworks. His interdisciplinary approach bridges applied mathematics, computational techniques, and theoretical modeling, making his research highly relevant across various scientific domains. His contributions to mathematical modeling in biology and engineering have led to significant applications, particularly in understanding complex network systems. With over 190 publications and numerous plenary talks, his research has influenced both academia and industry. His ongoing work continues to explore innovative mathematical methods for solving contemporary challenges, reinforcing his impact on the global mathematical community.

Awards and Honors

Professor Sadyrbaev has received prestigious recognition for his outstanding contributions to mathematics. In 2021, he was elected a Full Member of the Academy of Sciences of Latvia, a testament to his significant impact on mathematical research and education. His participation in major International Congresses of Mathematicians (ICM) across different countries, including Berlin, Beijing, Bangalore, Seoul, and São Paulo, highlights his global academic influence. He has also served as a delegate to the International Mathematical Union (IMU) General Assembly, representing the Latvian Mathematical Society in key international discussions. Additionally, he is a member of the Latvian Mathematical Society and the American Mathematical Society, further cementing his standing in the international mathematical community. His editorial board memberships in several international mathematical journals reflect his role in shaping contemporary mathematical research. His numerous honors underscore his dedication to advancing mathematical sciences through research, mentorship, and academic leadership.

Conclusion

Professor Felix Sadyrbaev is a highly accomplished mathematician with extensive contributions to dynamical systems, mathematical modeling, and network theory. His distinguished career spans over four decades, with significant roles in research, academic leadership, and international collaborations. His election as a Full Member of the Academy of Sciences of Latvia, numerous publications, and participation in prestigious international congresses solidify his reputation as a leading expert in his field. His influence extends beyond research, as he plays a key role in mentoring future mathematicians and fostering interdisciplinary collaborations. As a respected figure in the mathematical community, his work continues to shape contemporary mathematical theory and applications. Through his editorial roles, award participation, and research impact, he remains a driving force in the advancement of mathematical sciences. His remarkable career serves as an inspiration for young researchers and highlights the importance of mathematics in solving real-world challenges.

Publications Top Noted

  • On differential equations with exponential nonlinearities

    • Authors: Armands Gritsans, Felix Sadyrbaev
    • Year: 2025
    • Source: Applied Numerical Mathematics

  • Remarks on Modeling of Neural Networks

    • Authors: Felix Sadyrbaev
    • Year: [No year mentioned]
    • Source: [No source information available]

  • In Search of Chaos in Genetic Systems

    • Authors: Olga Kozlovska, Felix Sadyrbaev
    • Year: 2024
    • Source: Chaos Theory and Applications

  • Comparative Analysis of Models of Genetic and Neuronal Networks

    • Authors: Diana Ogorelova, Felix Sadyrbaev
    • Year: 2024
    • Source: Mathematical Modelling and Analysis

  • Editorial: Mathematical modeling of gene networks

    • Authors: Jacques François Demongeot, Felix Sadyrbaev, Inna Samuilik
    • Year: 2024
    • Source: Frontiers in Applied Mathematics and Statistics

  • On Period Annuli and Induced Chaos

    • Authors: Svetlana Atslega, Olga Kozlovska, Felix Sadyrbaev
    • Year: 2024
    • Source: WSEAS Transactions on Systems

  • A New 3D Chaotic Attractor in Gene Regulatory Network

    • Authors: Olga Kozlovska, Felix Sadyrbaev, Inna Samuilik
    • Year: 2024
    • Source: Mathematics

  • On Solutions of the Third-Order Ordinary Differential Equations of Emden-Fowler Type

    • Authors: Felix Sadyrbaev
    • Year: 2023
    • Source: Dynamics

  • On Coexistence of Inhibition and Activation in Genetic Regulatory Networks

    • Authors: Felix Sadyrbaev, Valentin Sengileyev, Albert Silvans
    • Year: [No year mentioned]

 

Franz Winkler | Computational Mathematics | Best Researcher Award

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Prof. Franz Winkler | Computational Mathematics | Best Researcher Award

Prof.emer. at RISC, Johannes Kepler University, Linz, Austria.

Franz Winkler is a distinguished mathematician and professor emeritus at the Research Institute for Symbolic Computation (RISC), Johannes Kepler University Linz. With a career spanning over four decades, he has made pioneering contributions to symbolic and algebraic computation, polynomial ideal theory, and theorem proving. He has held leadership roles, including Chairman of RISC and Dean of the School of Science and Technology. Recognized globally, he has been a visiting professor at esteemed institutions such as NYU, UC Berkeley, and the University of Sydney. His accolades include the prestigious Fulbright Scholarship and Promotio sub auspiciis praesidentis rei publicae, Austria’s highest academic honor. With extensive research collaborations across Europe, Asia, and the U.S., his work has significantly influenced computational mathematics. As an accomplished researcher, educator, and innovator, Winkler continues to shape the future of mathematical sciences through his profound contributions to algorithmic methods and computational algebra.

Professional Profile 

Scopus Profile

Education

Franz Winkler pursued his higher education at Johannes Kepler University Linz, earning a Diplomingenieur (equivalent to an M.S.) in Mathematics in 1979 with a thesis on Gröbner bases. He further enriched his academic experience with graduate studies at Rensselaer Polytechnic Institute, New York, before obtaining his Ph.D. in Mathematics (Dr. techn.) from Johannes Kepler University in 1984. His doctoral research focused on the Church-Rosser property in computer algebra and theorem proving, laying the foundation for his future work in symbolic computation. In 1990, he achieved habilitation in Mathematics, an esteemed qualification in European academia, with a thesis on algorithmic methods in polynomial ideal theory and first-order terms. This strong mathematical and computational foundation enabled him to pioneer research in algebraic computation, making significant contributions to theoretical and applied mathematics, shaping the field of computer algebra, and influencing generations of researchers in symbolic computation.

Professional Experience

Franz Winkler has had an extensive and impactful career, beginning as a teaching and research assistant at Johannes Kepler University Linz and later at Rensselaer Polytechnic Institute. He held academic positions at prestigious institutions, including the University of Delaware, where he served as a Visiting Assistant Professor. Returning to Austria, he became an Assistant Professor at RISC, a leading center for symbolic computation, before rising to Associate Professor and Full Professor at the same institution. He served as Chairman of RISC (1999–2009) and later as Dean of the School of Science and Technology (2013–2015) at Johannes Kepler University. His leadership extended to departmental roles, including Speaker of the Department of Mathematics (2016–2019). Even after becoming Professor Emeritus in 2021, he remains active in research and international collaborations, fostering advancements in computer algebra, theorem proving, and computational mathematics.

Research Interests

Franz Winkler’s research primarily focuses on symbolic and algebraic computation, polynomial ideal theory, differential elimination, term rewriting systems, and theorem proving. His contributions to computer algebra have led to significant developments in Gröbner bases, differential algebra, and algorithmic methods in commutative algebra and algebraic geometry. His work extends into computational aspects of algebraic geometry, providing essential algorithms for solving systems of algebraic and differential equations. A strong advocate of automated reasoning, he has advanced term rewriting and equational theorem proving. His research has influenced numerous mathematical software systems and has applications in engineering, cryptography, and theoretical physics. With numerous international collaborations and visiting professorships, he continues to expand the frontiers of computational mathematics, ensuring its relevance in modern problem-solving. His interdisciplinary approach has cemented his reputation as a global leader in symbolic computation and its applications.

Awards and Honors

Franz Winkler has received numerous accolades for his outstanding contributions to mathematics and computer algebra. He was awarded the Fulbright Scholarship to pursue studies at Rensselaer Polytechnic Institute, an early recognition of his academic excellence. His Ph.D. was honored with the Promotio sub auspiciis praesidentis rei publicae, one of Austria’s highest academic distinctions, granted to students with exceptional academic performance throughout their studies. He was also named a Featured Reviewer in Computing Reviews (2006), further acknowledging his expertise and impact on the mathematical community. His global recognition is reflected in his extensive research collaborations with institutions across Europe, Asia, and the U.S.. Through these honors, he has established himself as a leading authority in symbolic computation, influencing mathematical research and its real-world applications.

Conclusion

Franz Winkler is an eminent mathematician, researcher, and academic leader whose contributions have shaped the field of symbolic computation and computer algebra. His work on Gröbner bases, differential elimination, and theorem proving has had far-reaching implications in both pure and applied mathematics. With a distinguished academic career spanning over four decades, he has mentored numerous researchers, led pioneering initiatives at RISC, and built international research networks. His prestigious awards and visiting professorships underscore his global influence. Even in his emeritus status, he remains a driving force in computational mathematics, continually advancing the field with innovative research. His legacy is one of intellectual leadership, groundbreaking research, and a lasting impact on the mathematical sciences.

Publications Top Noted