Fan Yang | Computational Mathematics | Best Researcher Award

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Prof. Fan Yang | Computational Mathematics | Best Researcher Award

Professor at Lanzhou University of Technology, China

Professor Fan Yang 🎓, born in April 1976, is a distinguished mathematician at the School of Science, Lanzhou University of Technology, China. With a solid academic foundation—earning his B.Sc., M.Sc., and Ph.D. from Lanzhou University—he has emerged as a notable expert in inverse problems 🔍 and fractional diffusion equations 🌐. His research contributions span over 14 impactful publications in internationally recognized journals, showcasing innovative regularization techniques like Tikhonov, mollification, and quasi-boundary methods 🧮. His work significantly enhances computational stability in solving complex physical models, particularly heat and Poisson equations 🔥➕. Professor Yang collaborates closely with scholars like Chu-Li Fu and Xiao-Xiao Li, reflecting his team-driven approach and scientific synergy 🤝. While his global visibility could be further amplified, his technical depth, precision, and dedication place him among the front-runners in applied mathematics. A trailblazer in mathematical physics, Prof. Yang continues to illuminate intricate problems with clarity and rigor ✨.

Professional Profile 

Scopus Profile
ORCID Profile

📘 Education

Professor Fan Yang 🎓 embarked on his academic path at Lanzhou University, a premier institution in China 🇨🇳. He obtained his Bachelor’s degree in Mathematics in 2000, deepening his analytical foundations. Committed to advancing knowledge, he earned his Master’s degree in 2007 and later achieved his Doctoral degree in 2014, specializing in mathematical physics equations. This progressive academic journey illustrates a firm dedication to mathematical excellence 📐. His scholarly roots at Lanzhou University equipped him with the skills to explore abstract theories and practical modeling 🧠. The consistent pursuit of higher education across nearly 15 years showcases his unwavering commitment to mastering complexity and innovation. His academic development has been vital in shaping him into a respected voice within the mathematical research community 🔍.

💼 Professional Experience

Professor Fan Yang currently holds a prestigious role at the School of Science, Lanzhou University of Technology 🏫, where he serves as a full professor. With a career rooted in academia, he has accumulated decades of teaching, mentorship, and research leadership 📊. Over the years, he has played a central role in guiding both undergraduate and postgraduate students, helping nurture the next generation of mathematical minds 👨‍🏫. His collaborative efforts with other scholars and his role in departmental research initiatives reflect his deep integration into academic life 🧩. Prof. Yang’s dedication to fostering scientific thought and problem-solving capacity makes him a pillar of his department. His evolving role from student to faculty leader exemplifies his rise through perseverance, expertise, and scholarly drive 🚀.

🔬 Research Interest

Prof. Fan Yang’s research orbits around inverse problems and fractional diffusion equations, niche yet powerful areas within applied mathematics 🧠. His work primarily addresses ill-posed problems in mathematical physics, especially those modeling heat and source detection phenomena 🔥🧊. His innovative application of regularization techniques—such as Tikhonov, truncation, and mollification—enhances stability and solution accuracy in computational models. He focuses on determining unknown parameters from partial data, contributing solutions to real-world problems in geophysics, medical imaging, and thermal analysis 🌍💡. This niche research supports the broader scientific community in understanding and interpreting complex systems. With publications in high-impact journals and a track record of meaningful inquiry, Prof. Yang continues to redefine mathematical boundaries, blending theory and application in impactful, forward-thinking ways 📈🔎.

🏅 Awards and Honors

Though specific awards and honors are not listed in detail, Professor Fan Yang’s academic recognition is evident through consistent publications in reputable international journals 📰. Journals such as Applied Mathematical Modelling, Journal of Inverse and Ill-Posed Problems, and Computational and Applied Mathematics have showcased his findings, underscoring the scholarly value of his work 🏆. His research has earned collaboration with distinguished mathematicians, a subtle indicator of peer recognition and respect 🤝. Serving as a professor at a top Chinese university further indicates institutional acknowledgment of his contributions 🎖️. While formal accolades may not be detailed here, Prof. Yang’s enduring presence in high-level research forums and his intellectual influence make him a quiet achiever whose work speaks volumes through citations and scholarly impact 🌟.

📌 Conclusion

Professor Fan Yang is a dedicated scholar whose academic path, professional evolution, and focused research agenda reflect a life devoted to scientific advancement 🔭. From tackling complex inverse problems to refining numerical solutions for fractional equations, his work resonates across mathematical physics and engineering realms 🌐. With a foundation built at Lanzhou University and a professorship at Lanzhou University of Technology, his influence continues to grow 📘💡. While he may remain understated in accolades, his scholarly contributions are undeniable—spanning critical journals and collaborative research 🧩. Prof. Yang exemplifies how dedication, precision, and thoughtful inquiry can shape the modern mathematical landscape. As a thinker, mentor, and innovator, he is undoubtedly a valuable figure in advancing computational mathematics and applied sciences 💫🧮.

Publications Top Notes

🔹 Title: Simultaneous Inversion of the Source Term and Initial Value of the Multi-Term Time Fractional Slow Diffusion Equation
Authors: L. Qiao, R. Li, Fan Yang, X. Li
Year: 2025 🗓️
Journal: Journal of Applied Analysis and Computation 🏫📚

🔹 Title: Fractional Landweber Regularization Method for Identifying the Source Term of the Time Fractional Diffusion-Wave Equation
Authors: Z. Liang, Q. Jiang, Q. Liu, L. Xu, Fan Yang
Year: 2025 🗓️
Journal: Symmetry 📐📚

🔹 Title: PINN Neural Network Method for Solving the Forward and Inverse Problem of Time-Fractional Telegraph Equation
Authors: Fan Yang, H. Liu, X. Li, J. Cao
Year: 2025 🗓️
Citations: 2 📚
Journal: Results in Engineering ⚙️

🔹 Title: Two Regularization Methods for Identifying the Initial Value of Time-Fractional Telegraph Equation
Authors: Y. Liang, Fan Yang, X. Li
Year: 2025 🗓️
Citations: 2 📚
Journal: Computational Methods in Applied Mathematics 📊

🔹 Title: Two Regularization Methods for Identifying the Unknown Source of Sobolev Equation with Fractional Laplacian
Authors: Fan Yang, L.L. Yan, H. Liu, X. Li
Year: 2025 🗓️
Citations: 4 📚
Journal: Journal of Applied Analysis and Computation 🏫

🔹 Title: Two Regularization Methods for Identifying the Source Term of Caputo-Hadamard Type Time Fractional Diffusion-Wave Equation
Authors: Fan Yang, R. Li, Y. Gao, X. Li
Year: 2025 🗓️
Journal: Journal of Inverse and Ill-Posed Problems 🔄📚

🔹 Title: Effect of Surface Effect on Linear Bending Behavior of Nano-Switch Structure
Authors: Fan Yang, X. Wang, C. Li
Year: 2024 🗓️
Journal: Yingyong Lixue Xuebao (Chinese Journal of Applied Mechanics) 🔧📚

🔹 Title: Simultaneous Identification of the Unknown Source Term and Initial Value for the Time Fractional Diffusion Equation with Local and Nonlocal Operators
Authors: L. Qiao, Fan Yang, X. Li
Year: 2024 🗓️
Citations: 3 📚
Journal: Chaos, Solitons and Fractals 🌀

🔹 Title: Analysis of Nonlinear Bending Behavior of Nano-Switches Considering Surface Effects
Authors: Fan Yang, X. Wang, X. Song, W. Yang
Year: 2024 🗓️
Journal: Discover Nano 🔬📚

Dongying Ju | Interdisciplinary Mathematics | Best Innovation Award

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Prof. Dongying Ju | Interdisciplinary Mathematics | Best Innovation Award

CEO at Tokyo Green Power Electric Research Institute Co. Ltd, Japan

Dr. Dongying Ju, a distinguished researcher and innovator, holds multiple prestigious roles, including President of the Japan-China Center for Scientific & Technological & Cultural Exchange and Honorary Professor at Saitama Institute of Technology. With a Ph.D. from Kyoto University, his expertise spans solidification theory, advanced materials, and hydrogen energy technologies. He has published over 445 papers and holds 25 patents. Notably, his work on intelligent heat treatment systems and biodegradable materials is globally impactful. Recognized with Geneva Invention Award (2024) and Excellence Award (CAST 2023), Dr. Ju is an influential academic leader 🌍📚. His contributions to materials science and sustainable innovations make him a key figure in advancing modern engineering 🚗💡.

Professional Profile 

Scopus Profile
ORCID Profile

🎓 Education

Dr. Dongying Ju 📘🇨🇳🇯🇵 has a stellar academic foundation grounded in top global institutions. He earned his B.S. from the Hebei Institute of Mechanical and Electrical Engineering (1979) 🏫, pursued graduate studies at Tsinghua University (1985) 🧠, and advanced to complete both his M.S. (1989) and Ph.D. in Engineering (1992) at the prestigious Kyoto University 🎓🇯🇵. This tri-national academic journey shaped his global outlook and technical versatility, equipping him to seamlessly blend Chinese precision, Japanese innovation, and international vision. His academic roots serve as the launchpad for his future-shaping research in material science, advanced manufacturing, and green technologies 🌱🧪.

🏢 Professional Experience

Dr. Ju’s professional journey is a powerhouse of innovation, leadership, and global collaboration 🌍💼. He’s the President of the Japan-China Center for Scientific & Technological Exchange 🌐, Representative Director of Tokyo Green-Motion Electric Technical Research Institute ⚡, and a Foreign Member of The Engineering Academy of Japan 🏅. Formerly a Professor, Vice President, and Director of Research at Saitama Institute of Technology 🧑‍🏫, he has also held executive positions at top firms like Ansteel Group and TOEI ES Co. Ltd. His career unites academia, industry, and policy into a single, influential force of technological advancement 🚀🔧.

🔬 Research Interests

Dr. Ju’s research is a dazzling spectrum of cutting-edge science 🔭💡. From solidification theory ❄️ and multi-physics simulation 💻 to hydrogen energy materials ⚗️🔋 and nanocoatings 🧴, his innovations cross disciplinary borders. He pioneers intelligent heat treatment systems, medical-grade magnesium alloys 🧬, eco-friendly wastewater solutions ♻️, and fuel cell components for a sustainable future 🚗⚙️. His work in visualizing boiling heat transfer and creep behavior in nuclear materials 💥 supports safety and efficiency in high-risk fields. Every project he leads is a blueprint for next-gen industrial systems, human health technologies, and planetary sustainability 🌎💠.

🏆 Awards & Honors

Dr. Ju’s legacy is stamped with distinction 🥇📜. He received the 2024 Geneva International Invention Award 🏅, the 2023 Excellence Award from CAST 🏆, and accolades from IMS for both innovation and publication 🧾✨. He’s published over 445 academic papers 📚 (231 SCI-indexed), authored 12 influential books 📖, and secured 25 patents 🧠🔒—including one international patent. As a respected editor, reviewer, and board member for top journals, he shapes scientific narratives globally 🌐. Recognized across borders for his scientific foresight, Dr. Ju epitomizes the trailblazing spirit worthy of high-level recognition 🥂🚀.

✅ Conclusion

Dr. Dongying Ju is a visionary innovator whose work transforms science into real-world impact 🌟🔧. From groundbreaking research to global collaboration, his fingerprints are on future-forward technologies that shape energy, healthcare, environment, and industry. With unwavering dedication and an unmatched record in engineering breakthroughs, his legacy bridges continents and disciplines 🌉🌍. Whether pioneering hydrogen fuel solutions or reinventing heat treatment with AI, Dr. Ju is not just advancing technology—he’s crafting a smarter, greener world 💡🌱. For these reasons, he is an ideal recipient of the Best Innovation Award 🏅🔥—a living symbol of excellence, ingenuity, and international impact.

Publications Top Notes

🔋 Feasible and Applicable Route to Fabricate the K₀.₃Mn₀.₇CoₓFe₀.₃₋ₓO₂ Potassium Positive Material
Authors: S. Ren, Z. Zhang, J. Li, … D. Ju, W. Zhou
Year: 2025
Source: Electrochimica Acta

⚡ Feasible Constructions of Bi@CNT Materials with Extremely High Rate and Na⁺ Storage Performance
Authors: J. Li, X. Miao, B. Han, … L. Tao, W. Zhou
Year: 2025
Source: Journal of Materials Chemistry A

🧠 Multi-objective Process Optimization of Gear Carburization and Quenching Based on ELM-MOPSO Neural Network
Authors: J. Wang, T. Song, T. Wen, … D. Ju, X. Zhang
Year: 2025
Source: Materials Today Communications

🔬 Study on Microstructure and Electrochemical Properties of Mg₁.₆Ni₁₋ₓTi₀.₄Mnₓ (x = 0~0.3) Alloy
Authors: J. Wang, Y. Liang, F. Wang, … X. Zhang, J. Ma
Year: 2024
Source: Coatings (Open Access)

🤖 Development of an Intelligent Design and Simulation Aid System for Heat Treatment Processes Based on LLM
Authors: Y. Sun, X. Li, C. Liu, … T. Song, D. Ju
Year: 2024
Citations: 1
Source: Materials and Design (Open Access)

🧪 Sulphonated Coal Tar Pitch as a Carbon Source to Develop the Storage Capacity of Fe₂O₃@C Materials
Authors: J. Li, X. Miao, B. Han, … H. Yu, W. Zhou
Year: 2024
Citations: 1
Source: Catalysis Today

🛠️ Numerical Simulation of Low Pressure Carburizing Process for 20CrMnTi Steel
Authors: X. Deng, W. Song, Y. Fan, … Y. Xu, D. Ju
Year: 2024
Source: Jinshu Rechuli / Heat Treatment of Metals

🌡️ Multi-field Coupling Simulation Analysis of 20MnCrS5 Vacuum Low Pressure Carburizing and Gas Quenching
Authors: Z. Zhang, X. Deng, Y. Fan, … Y. Xu, D. Ju
Year: 2024
Source: Surface Technology

🔋 An Asymmetric Electrode Matching Reversible Kinetics of Oxygen Reaction for a Rechargeable Zn-air Battery
Authors: S. Li, H. Zhang, L. Wu, … D. Ju, B. An
Year: 2024
Citations: 5
Source: Chemical Engineering Journal

🧲 The Evolution of Microstructure and Electromagnetic Interference Shielding Effectiveness of Mg-2Mn-1Ce Alloy Prepared by Accumulative Roll Bonding Process
Authors: W. Zhang, Z. Su, X. Hu, D. Ju, H. Zhao
Year: 2024
Source: Journal of Materials Engineering and Performance

Raquel Lacuesta Gilaberte | Artificial Intelligence in Mathematics | Women Researcher Award

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Prof. Dr. Raquel Lacuesta Gilaberte | Artificial Intelligence in Mathematics | Women Researcher Award

Researcher and Lecturer at Universidad de Zaragoza , Spain

Prof. Dr. Raquel Lacuesta Gilaberte 🎓, a distinguished academic from the Universidad de Zaragoza 🇪🇸, is a seasoned expert in Computer Science and Human-Computer Interaction 💻🧠. With a Ph.D. Cum Laude from the Universidad Politécnica de Valencia 🎖️, she brings over two decades of dedication to teaching, mentoring, and interdisciplinary research. Her work spans digital interaction design, intelligent systems 🤖, and healthcare technologies 🏥💡, making significant contributions to both education and applied science. As a full-time professor, she has spearheaded numerous courses in engineering, health innovation, and digital systems, inspiring future technologists and innovators. Fluent in English 🌍, she’s well-positioned for global collaboration. Her academic journey reflects a blend of visionary thinking, pedagogical depth, and technological curiosity, marking her as a dynamic force in the engineering and research ecosystem 🚀📘.

Professional Profile 

Google Scholar
Scopus Profile
ORCID Profile

🎓 Education

Prof. Dr. Raquel Lacuesta Gilaberte holds a prestigious academic lineage rooted in technical excellence. She earned her degree in Computer Engineering from the Universidad Politécnica de Valencia 🏛️ in 1999 and went on to complete her Ph.D. in Computer Science in 2008 with the esteemed Cum Laude distinction 🏅. Her doctoral studies deepened her expertise in informatics, laying a strong foundation for a career at the nexus of innovation and systems architecture. This elite academic path reflects her unwavering commitment to scholarly rigor and intellectual development. Her comprehensive training in both theoretical and applied computing equips her to seamlessly bridge academia and real-world technology 🌐💡.

🧑‍🏫 Professional Experience

With over 15 years of academic service, Prof. Dr. Lacuesta currently serves as a Professor Titular at the Universidad de Zaragoza 👩‍🏫. Since 2018, she has dedicated herself full-time to the Department of Computer Science and Systems Engineering, shaping the minds of future engineers. Her teaching portfolio is both broad and impactful—spanning information systems, human-computer interaction, digital design, and cybersecurity 🔐. Beyond instruction, she plays a pivotal role in curriculum development for undergraduate and master’s programs. Her long-term affiliation with various innovative teaching initiatives reflects a career devoted not just to knowledge dissemination but to shaping evolving educational ecosystems 🏫🚀.

🔬 Research Interests

Prof. Dr. Lacuesta’s research navigates the confluence of technology and human experience. Her primary interests include Human-Computer Interaction (HCI) 🖥️🤝, user-centered digital design 🎨, multi-agent systems 🤖, and health-focused technology applications 🩺📲. She actively explores how emerging interfaces can enhance user accessibility and well-being, especially within medical and wellness contexts. Her work in intelligent systems and decision-support architectures positions her at the forefront of digital innovation. The interdisciplinary nature of her research enables her to address complex challenges through holistic, systems-oriented solutions. Driven by curiosity and social impact, her research continuously adapts to the dynamic needs of the digital age 🌍⚙️.

🏆 Awards and Honors

While her formal accolades were not detailed in the provided records, Prof. Dr. Lacuesta’s academic career reflects honors embedded in her roles and responsibilities. Attaining a Ph.D. with Cum Laude honors 🎖️ signals excellence at the doctoral level. Her continuous presence in postgraduate and interdisciplinary programs is itself a recognition of her expertise and reliability. Trusted to lead innovation-focused subjects in health tech and interactive systems, she enjoys peer respect and institutional recognition 🌟. Her appointment to key academic roles and her involvement in diverse teaching environments speak volumes of the esteem she commands in academic circles. Future awards will likely follow as her research visibility grows.

🔚 Conclusion

Prof. Dr. Raquel Lacuesta Gilaberte exemplifies the modern academic—technically astute, pedagogically impactful, and research-driven 💼🧠. Her journey from a top-tier engineering graduate to a full-time professor reflects perseverance, scholarly excellence, and a forward-looking mindset. With deep roots in computing and branches extending into healthcare innovation and interactive design, she stands as a beacon of interdisciplinary progress 🌱🔍. Though understated in accolades, her real reward lies in shaping students, pushing boundaries in tech-for-good, and mentoring in future-centric domains. She is unquestionably a standout candidate for recognition such as the Best Researcher Award 🏅🌟.

Publications Top Notes

Redesign and New Evaluation of a Pervasive Game for Older Adults
👥 Jesús Gallardo, Raquel Lacuesta, Silvia Ramis
📅 2024 | 📈 0 citations
📄 Conference Paper | DOI: Not provided

Exploring the Use of Voice Assistants in Nursing Homes
👥 Eva Cerezo, Raquel Lacuesta, Jesús Gallardo, Antonio Aguelo
📅 2025 | 📈 1 citation
📄 International Journal of Human–Computer Interaction
🔗 DOI: 10.1080/10447318.2025.2470282

Cooking Game: A Serious Game Using a Social Robot
👥 Joan Josep Ordoñez, Silvia Ramis, Francisco J. Perales, Jose M. Buades, Raquel Lacuesta
📅 2024 | 📈 1 citation
📄 Conference Paper
🔗 DOI: 10.1145/3657242.3658604

A New Online Tool to Evaluate Transferable Skills in the European Framework
👥 Raquel Lacuesta, G. Palacios-Navarro
📅 2024 | 📈 0 citations
📄 International Journal of Engineering Pedagogy | DOI not listed

Wearable Low-Cost and Low-Energy Consumption Gas Sensor with Machine Learning to Recognize Outdoor Areas
👥 Jianchen Wang, Lorena Parra, Raquel Lacuesta, Jaime Lloret, Pascal Lorenz
📅 2024 | 📈 0 citations
📄 IEEE Sensors Journal
🔗 DOI: 10.1109/JSEN.2024.3442874

Ubiquitous Monitoring of Liver Transplantation Patients
👥 Javier Navarro-Alamán, Raquel Lacuesta, Jose M. Jimenez, Iván García-Magariño, Trinidad Serrano
📅 2024 | 📈 1 citation
📄 International Journal of Ad Hoc and Ubiquitous Computing | DOI not listed

Evaluation of Suitability of Low-Cost Gas Sensors for Monitoring Indoor and Outdoor Urban Areas
👥 Jianchen Wang, Sandra Viciano-Tudela, Lorena Parra, Raquel Lacuesta, Jaime Lloret
📅 2023 | 📈 16 citations
📄 IEEE Sensors Journal
🔗 DOI: 10.1109/JSEN.2023.3301651

Cybersecure XAI Algorithm for Generating Recommendations Based on Financial Fundamentals Using DeepSeek
👥 Iván García-Magariño, Javier Bravo-Agapito, Raquel Lacuesta
📅 2025 | 📈 N/A
📄 AI (Open Access Journal)
🔗 DOI: 10.3390/ai6050095

Designing Pervasive Games Oriented Towards the Elderly: A Case Study
👥 Raquel Lacuesta, Jesús Gallardo, Silvia Hernández, Álvaro Pérez
📅 2023 | 📈 N/A
📄 Book Chapter
🔗 DOI: 10.1007/978-3-031-37496-8_13

Early Detection of Abandonment Signs in Interactive Novels with a Randomized Forest Classifier
👥 Javier Navarro, Iván García-Magariño, Jorge J. Gómez Sanz, Raquel Lacuesta, Rubén Fuentes, Juan Pavón
📅 2022 | 📈 N/A
📄 Book Chapter
🔗 DOI: 10.1007/978-3-031-22419-5_18

 

 

 

Rahman Ullah Khan | Applied Mathematics | Best Researcher Award

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Dr. Rahman Ullah Khan | Applied Mathematics | Best Researcher Award

Ph.D at Quaid e Azam University Islamabad, Pakistan

Dr. Rahman Ullah Khan is an accomplished mathematician specializing in fractional differential equations and fixed point theory. 🎓 Currently pursuing his Ph.D. at Quaid-i-Azam University, Islamabad, his research focuses on the existence, uniqueness, and stability of solutions to complex fractional systems. His work combines rigorous mathematical theory with computational techniques, utilizing tools like MATLAB and Mathematica for numerical solutions. 💻 Dr. Khan has published several notable papers in high-impact journals, including Boundary Value Problems and Physica Scripta, showcasing his expertise in advanced mathematical analysis. 📚 He actively contributes to the academic community by presenting his findings at international conferences and engaging in teaching roles, mentoring future mathematicians. 🌍 Beyond his research, Dr. Khan has demonstrated leadership in organizing seminars and events to promote mathematical education and global collaborations. His dedication to advancing the field of pure mathematics, combined with his passion for knowledge-sharing, makes him a standout researcher. 🌟

Professional Profile 

Google Scholar
Scopus Profile

Education 📖🎓

Dr. Rahman Ullah Khan holds a Ph.D. in Mathematics from Quaid-i-Azam University, Islamabad, Pakistan, where he is currently conducting research on fractional differential equations and fixed point theory. 🎓 He completed his M.Phil. in Mathematics at the same institution, with an exceptional GPA, demonstrating his strong foundation in applied and pure mathematics. 📚 Throughout his academic journey, Dr. Khan’s thesis focused on solving fractional differential equations using advanced mathematical techniques, which showcased his commitment to solving complex mathematical problems.

Professional Experience ✨

Dr. Khan’s professional journey includes serving as a teaching assistant at Quaid-i-Azam University, where he taught fractional differential equations and applied mathematics. 📘 He has also worked as a private math tutor, helping students grasp complex mathematical concepts. Additionally, he has held leadership roles, including Vice President of the Quaidian Mathematical Society, and has organized seminars to enhance the academic community’s knowledge of mathematics. 🌐

Research Interests 🧮

Dr. Khan’s research interests are primarily centered on fractional differential equations and fixed point theory. 🧠 He focuses on solving fractional systems using fixed point theorems to establish solution existence, uniqueness, and stability. His work applies these concepts to real-world problems, using computational methods such as MATLAB to simulate and analyze results. 💡 His research aims to bridge the gap between theoretical mathematics and its applications in areas like engineering and physics, with an emphasis on making mathematical models more efficient and practical. 🔍

Awards and Honors 🏆

Dr. Khan has received recognition for his exceptional academic performance, including high GPAs in both his M.Phil. and Ph.D. programs. 🌟 His contributions to mathematics are widely respected, and his research articles have been published in reputable journals like Boundary Value Problems and Physica Scripta. 🏆 He has also been invited to present his findings at several international conferences, where his work on fractional differential equations has been well-received. 🌍

Conclusion🌍📚

Dr. Rahman Ullah Khan is a promising and passionate mathematician with a strong academic background and significant research contributions in the field of fractional differential equations and fixed point theory. 📈 His deep knowledge, combined with computational skills and leadership in the academic community, makes him an asset to the field of mathematics. With a commitment to advancing mathematical solutions for real-world problems, Dr. Khan is poised for further success in both research and teaching. 🌟 His dedication to knowledge-sharing and solving complex mathematical problems continues to inspire future generations of mathematicians.

Publications Top Notes

📘 On qualitative analysis of a fractional hybrid Langevin differential equation with novel boundary conditions
Authors: G Ali, RU Khan, Kamran, A Aloqaily, N Mlaiki
Year: 2024
Citation: Boundary Value Problems 2024 (1), 62
Source: Boundary Value Problems

🔍 The study of nonlinear fractional boundary value problems involving the p-Laplacian operator
Authors: AU Khan, RU Khan, G Ali, S Aljawi
Year: 2024
Citation: Physica Scripta 99 (8), 085221
Source: Physica Scripta

🌐 The Existence and Stability of Integral Fractional Differential Equations
Authors: RU Khan, IL Popa
Year: 2025
Citation: Fractal and Fractional 9 (5), 295
Source: Fractal and Fractional

📝 Some novel existence and stability results for a nonlinear implicit fractional differential equation with non-local boundary conditions
Authors: RU Khan, IL Popa
Year: 2025
Citation: Partial Differential Equations in Applied Mathematics 13, 101132
Source: Partial Differential Equations in Applied Mathematics

💡 New Results on the Stability and Existence of Langevin Fractional Differential Equations with Boundary Conditions
Authors: RU Khan, M Samreen, G Ali, IL Popa
Year: 2025
Citation: Fractal and Fractional 9 (2), 127
Source: Fractal and Fractional

🔬 Existence and Stability of Implicit Fractional Differential Equations Involving the p-Laplacian Operator and Their Applications
Authors: RU Khan, M Samreen, G Ali, IL Popa
Year: 2024
Citation: Physica Scripta
Source: Physica Scripta

🧮 On the qualitative analysis of the boundary value problem of the Ψ-Caputo implicit fractional pantograph differential equation
Authors: RU Khan, M Samreen, G Ali, I Argyros
Year: 2024
Citation: Journal of Applied Math 2 (6), 1977-1977
Source: Journal of Applied Math

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

Posted on by Math Scientist

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 

Google Scholar
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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

Posted on by Math Scientist

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