Mohammadali Zanjani | Mathematical Logic | Best Researcher Award

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Assoc. Prof. Dr. S. Mohammadali Zanjani | Mathematical Logic | Best Researcher Award.

Dean of the Faculty of Skills and Entrepreneurship at Islamic Azad University, Najafabad Branch , Iran.

Dr. S. Mohammadali Zanjani 🎓, an esteemed associate professor at Islamic Azad University, Najafabad Branch, is a trailblazer in electronic engineering. With over two decades of experience, his research spans low-power IC design, CNTFETs, QCA, IoT , smart microgrids, and advanced instrumentation. A prolific scholar, he has authored numerous peer-reviewed papers , 13 technical books , and holds more than 10 national patents . As Director of the Smart Microgrid Research Center and founder of Smart City Consultants , Dr. Zanjani bridges academia and industry seamlessly. His leadership roles include Dean, Vice President, and board member of IAEEE, highlighting his influence in both educational and professional realms. With a passion for innovation, mentorship, and sustainable tech, he continues to shape the future of electronics through impactful research and visionary guidance . His dynamic contributions make him a beacon of excellence in the engineering community.

Professional Profile 

🎓 Education

Dr. S. Mohammadali Zanjani’s educational journey reflects a deep-rooted commitment to advanced electronics. He earned his master’s degree in electronics in 1998 from Islamic Azad University, Najafabad Branch, where he later returned as a faculty member. Driven by a passion for cutting-edge semiconductor technologies, he pursued and completed a Ph.D. at the Science and Research Branch in Tehran, specializing in analog circuit design utilizing CNTFET (Carbon Nanotube Field-Effect Transistor) technology. This doctoral focus placed him at the forefront of nanoscale electronics, bridging traditional design methods with novel materials and quantum phenomena. His academic foundation is anchored in precision engineering, rigorous analytical training, and a vision to harness new technology for real-world applications. The depth and specialization of his education not only provided the groundwork for his future innovations but also reflect his lifelong dedication to staying ahead of emerging scientific and technological trends in electronics and integrated system design.

💼 Professional Experience

Dr. Zanjani’s professional trajectory is marked by a harmonious blend of academic excellence and strategic leadership. Since 2000, he has served as an associate professor at Islamic Azad University, Najafabad Branch, where he has cultivated a reputation for inspiring students and shaping advanced research initiatives. His leadership roles are multifaceted—spanning positions such as Vice President of the Faculty of Engineering, Dean of the Faculty of Skills and Entrepreneurship, and Director of the Industry Relations Office. These roles underscore his capacity to manage large-scale academic operations while nurturing innovation. As Director of the Smart Microgrid Research Center, he has spearheaded transformative energy solutions. Additionally, his entrepreneurial initiative led to the founding of Smart City Consultants, a firm dedicated to bridging technological solutions with urban infrastructure. His career illustrates a powerful synergy between educational instruction, research development, and institutional leadership, establishing him as a key influencer in academia and industry alike.

🔬 Research Interests

Dr. Zanjani’s research passions revolve around the convergence of nanoelectronics, smart systems, and energy-efficient circuit design. He specializes in low-power analog and digital integrated circuit architectures, leveraging novel materials like CNTFETs and emerging models such as QCA (Quantum-dot Cellular Automata). His work delves into how electronic systems can be optimized at the molecular scale while still meeting practical demands. Beyond core electronics, he actively investigates smart home platforms, intelligent instrumentation, and microgrid infrastructures—critical components in the evolution toward interconnected, sustainable environments. His research promotes solutions that blend miniaturization, efficiency, and real-time adaptability, positioning his work at the interface of innovation and application. He has guided numerous master’s and doctoral theses in areas such as sensor fabrication, signal processing, and renewable energy control systems. His ability to traverse theoretical and experimental domains makes him a leading voice in advancing technologies for smarter, more resilient electronic ecosystems.

🏅 Awards and Honors

Dr. Zanjani’s accolades underscore a distinguished career of innovation, scholarly impact, and service to the engineering community. He holds more than ten national patents, each a testament to his capacity for translating abstract research into tangible technological advances. His contributions extend to publishing and translating thirteen books on electronics and instrumentation—resources that continue to guide both academic peers and aspiring engineers. As a peer reviewer and executive secretary of the international conference on optimizing electrical energy consumption, he has shaped discourse around energy innovation. His role as a board member of the Iranian Institute of Electrical and Electronics Engineers (IAEEE) further highlights his standing as a respected leader in his field. These honors reflect not just recognition, but a legacy of mentorship, thought leadership, and groundbreaking research. Collectively, they signal his lifelong mission to innovate responsibly, educate effectively, and influence the future of electronics at both national and international levels.

Publications Top Notes

  • Design of a Low-Distortion Bootstrapped Switch for Non-Uniform Sampling of Biomedical Signals

Authors: Sara Bagher Nasrabadi, Mehdi Dolatshahi, Sayed Mohammad Ali Zanjani, Hossein Pourghassem

Year: 2025

Source: Analog Integrated Circuits and Signal Processing

  • A New Low-Power Non-Uniform Sample and Hold Circuit for Biomedical Signal Processing Applications

Authors: Sara Bagher Nasrabadi, Mehdi Dolatshahi, Sayed Mohammad Ali Zanjani, Hossein Pourghassem

Year: 2024

Source: Circuits, Systems, and Signal Processing

  • Design and Simulation of a Low-Power, Universal & Multi-Mode Filter for the Commercial FM Band in 20-nm CNFETs

Authors: Sayed Mohammad Ali Zanjani, Pouya Toghian

Year: 2024

Citations: 2

Source: Analog Integrated Circuits and Signal Processing

  • Application of Levenberg-Marquardt Backpropagation Algorithm in Artificial Neural Network for Self-Calibration of Deflection Type Wheatstone Bridge Circuit in CO Electrochemical Gas Sensor

Authors: Amirhosein Asilian, Sayed Mohammad Ali Zanjani

Year: 2024

Citations: 3

Source: Majlesi Journal of Electrical Engineering

  • A New Low-Power, Universal, Multi-Mode Gm-C Filter in CNTFET Technology

Authors: S.M.A. Zanjani, M. Dousti, M. Dolatshahi

Year: 2019

Citations: 33

Source: Microelectronics Journal, Volume 90, Pages 342–352

  • High-Precision, Resistorless Gas Pressure Sensor and Instrumentation Amplifier in CNT Technology

Authors: S.M.A. Zanjani, M. Dousti, M. Dolatshahi

Year: 2018

Citations: 31

Source: AEU – International Journal of Electronics and Communications, Volume 93, Pages 325–336

  • Inverter-Based, Low-Power and Low-Voltage, New Mixed-Mode Gm-C Filter in Subthreshold CNTFET Technology

Authors: S.M.A. Zanjani, M. Dousti, M. Dolatshahi

Year: 2018

Citations: 27

Source: IET Circuits, Devices & Systems, Volume 12, Issue 6, Pages 681–688

  • Personal Image Classifier Based Handy Pipe Defect Recognizer (HPD): Design and Test

Authors: Ata Jahangir Moshayedi, Amir Sohail Khan, Shuxin Yang, S. Mohammadali Zanjani

Year: 2022

Citations: 23

Source: 7th International Conference on Intelligent Computing and Signal Processin

  • A New Low-Power Dynamic-GDI Full Adder in CNFET Technology

Authors: A. Ghorbani, M. Dolatshahi, S.M. Zanjani, B. Barekatain

Year: 2022

Citations: 23

Source: Integration, Volume 83, Pages 46–59

Conclusion

Dr. S. Mohammadali Zanjani stands as a paragon of excellence in electronic engineering, uniting deep technical expertise with visionary leadership. His journey from student to professor, innovator to institutional leader, is marked by a continuous pursuit of knowledge and societal advancement. Whether designing nanoscale circuits, guiding doctoral research, or leading energy infrastructure projects, he exemplifies commitment, creativity, and academic integrity. His dual engagement with academia and industry empowers him to drive research that is both pioneering and practical. He is not only an educator but also an ecosystem builder—elevating scientific thought, inspiring young minds, and shaping sustainable futures through smart technology. With his impressive scholarly contributions, organizational acumen, and a broad vision for smart cities and energy solutions, Dr. Zanjani continues to influence the trajectory of modern electronics. His career reflects a rare balance of curiosity, impact, and leadership—qualities befitting a nominee for the highest recognition in research.

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

Google Scholar
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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

 

Mohamed Etarhouni | Mathematical Modeling | Best Researcher Award

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Dr. Mohamed Etarhouni | Mathematical Modeling | Best Researcher Award

Electrical Engineering Lecturer at Liverpool John Moores University, United Kingdom

Dr. Mohamed Etarhouni is an accomplished lecturer and researcher in Electrical and Electronic Engineering 🌍. With a PhD specializing in renewable energy systems, his innovative work on optimizing solar PV systems 🏞️ has been published in top journals like IEEE and Elsevier. Boasting over 8 years of teaching experience 📚, he excels in integrating modern tools such as MATLAB-Simulink, Proteus, and Mobius to create engaging, hybrid learning environments. His passion for student development is evident through his commitment to inclusive education and ongoing professional growth, including a PGCert in Teaching in Higher Education 🎓. Dr. Etarhouni’s contributions extend beyond teaching, as he actively participates in academic conferences, peer reviewing, and fostering interdisciplinary research. Recognized for his exceptional teaching and scholarly achievements 🏆, he is a forward-thinking academic whose work bridges the gap between theory and practical solutions in the rapidly evolving field of renewable energy.

Professional Profile

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Education 🎓

Dr. Mohamed Etarhouni’s educational journey showcases a blend of academic excellence and practical application. He earned his PhD in Electrical and Electronic Engineering from the University of Leeds, where he focused on developing advanced techniques for maximizing power extraction from solar photovoltaic (PV) systems, particularly under partial shading conditions 🌞. In addition, he holds an MSc in Electrical Engineering & Renewable Energy Systems with distinction from the University of Leeds, where he demonstrated outstanding performance in his field. Currently, he is further advancing his teaching expertise by pursuing a PGCert in Teaching in Higher Education at Keele University, continuing his passion for educational innovation 📚. His strong educational foundation enables him to deliver effective and forward-thinking teaching strategies while also contributing to research and technology development in renewable energy.

Professional Experience 💼

Dr. Etarhouni brings over 8 years of experience in academia, having taught at respected institutions such as Liverpool John Moores University, Teesside University, and the Open University. He has designed and delivered courses in a variety of areas, including electronics, power electronics, embedded systems, and electrical circuits ⚡. Dr. Etarhouni integrates cutting-edge technologies like Canvas, MATLAB-Simulink, and Mobius to enhance the learning experience for students, ensuring they acquire the practical skills needed in the rapidly evolving field of electrical engineering. His expertise is not limited to teaching; he has supervised both undergraduate and postgraduate students, guiding them through research projects that bridge theory and real-world applications. Dr. Etarhouni’s collaborative research with the University of Leeds in power electronics and renewable energy continues to fuel his passion for both education and sustainable technology 🌍.

Research Interest 🔬

Dr. Etarhouni’s primary research interest lies in optimizing renewable energy systems, specifically solar power technologies. His work on improving the performance of solar PV systems through advanced optimization techniques—particularly in partial shading scenarios—has set him apart in his field. He has pioneered innovations such as Series-Parallel Differential Power Processing (SP-DPP) converters and fuzzy logic-based control systems, all designed to maximize energy extraction from solar arrays 🌞. His research also delves into the integration of renewable energy systems with power electronics, aiming to improve overall system efficiency and reliability. His work in this area has been published in prominent journals, and he continues to explore new configurations to enhance the practicality and scalability of renewable energy solutions, contributing significantly to the global push toward sustainable energy sources 🌱.

Awards and Honors 🏅

Dr. Etarhouni’s dedication to both research and teaching has earned him numerous accolades. He was awarded the Best Paper Award at the IEEE Renewable Energy Congress for his groundbreaking work on solar PV technologies, and his teaching excellence has been recognized with multiple Teaching Recognition Certificates from Liverpool John Moores University 🏆. His contributions to higher education and research were further acknowledged when he received an Exemplar Recognition from Keele University for his innovative approaches to teaching. As a Fellow of the Higher Education Academy (FHEA), Dr. Etarhouni demonstrates a strong commitment to maintaining high teaching standards. His active role as a session chair and peer reviewer at international conferences highlights his prominent position within the academic community, and his continuous professional development reflects his dedication to furthering his expertise in both pedagogy and engineering 🌟.

Conclusion 🌟

Dr. Mohamed Etarhouni stands out as an academic and researcher whose work consistently bridges the gap between cutting-edge renewable energy solutions and effective teaching methodologies. His contributions to optimizing solar energy systems are setting new standards in the field of renewable energy, while his dedication to education is fostering the growth of future engineers. As a published researcher and award-winning educator, Dr. Etarhouni’s innovative approach to both teaching and research continues to influence the academic and engineering communities. With his ongoing commitment to professional development and research, Dr. Etarhouni is poised to remain a key figure in advancing sustainable energy solutions and educational excellence 🌍⚡.

Publications Top Notes

🌞 Design of Novel Differential Power Processing Scheme for Small-Scale PV Array Application Operating Under Partial Shading Conditions

Authors: Mohamed Etarhouni, Hiroshan Puvanendra Moorthy, Benjamin Chong
Year: 2024
Source: Computers and Electrical Engineering
DOI: 10.1016/j.compeleceng.2024.109254
This paper discusses a novel power processing scheme 🛠️ designed for small-scale photovoltaic (PV) arrays under partial shading conditions 🌥️, which are common in solar energy systems. The scheme aims to maximize the output power and enhance system efficiency by addressing shading effects.

⚡ Control of Cascaded PV-Ćuk Converter Modules by Particle Swarm Optimization Under Partial Shading Conditions

Authors: Mohamed Etarhouni, Benjamin Chong
Year: 2023
Source: World Congress on Electrical Engineering and Computer Systems and Science
DOI: 10.11159/eee23.107
This study explores the optimization 🔧 of Cascaded PV-Ćuk converters using particle swarm optimization 🐝, particularly under partial shading 🌑 conditions. It introduces an innovative control strategy to improve the performance of photovoltaic systems during shaded conditions.

🌞 A Combined Scheme for Maximising the Output Power of a Photovoltaic Array Under Partial Shading Conditions

Authors: Mohamed Etarhouni
Year: 2022
Source: Sustainable Energy Technologies and Assessments
DOI: 10.1016/j.seta.2021.101878
The article presents a combined scheme 🛠️ designed to maximize output power from a photovoltaic array under partial shading 🌤️ conditions. This method enhances the power extraction capabilities of PV systems, addressing common challenges in solar energy applications.

🌅 A Novel Square Algorithm for Maximising the Output Power from a Partially Shaded Photovoltaic Array System

Authors: Mohamed Etarhouni
Year: 2022
Source: Optik
DOI: 10.1016/j.ijleo.2022.168870
This paper introduces a novel square algorithm 💡 for optimizing power output from partially shaded photovoltaic systems. It aims to mitigate the effects of shading 🌒 on solar energy production, improving overall system efficiency 🌞.

🔋 Series-Parallel Differential Power Processing Scheme for Maximised Power Extraction from Mismatched Photovoltaic Panels

Authors: Mohamed Etarhouni
Year: 2020
Source: 10th International Conference on Power Electronics, Machines and Drives (PEMD)
This conference paper presents a series-parallel differential power processing scheme 🔋 to maximize power extraction from mismatched PV panels under varying conditions. The innovative scheme improves solar energy generation efficiency despite mismatch between panels.

🌞 Optimal Design of Series-Parallel Differential Power Processing Converters for Photovoltaic Array Energy Systems

Authors: Mohamed Etarhouni
Year: 2020
Source: 37th European Photovoltaic Solar Energy Conference and Exhibition
This work focuses on the optimal design 🛠️ of series-parallel differential power processing converters aimed at improving energy efficiency in solar power systems. The design optimizes power management in photovoltaic arrays, reducing energy loss due to shading or mismatch.

⚡ Review of PV Array Interconnection Schemes for Maximum Power Operation Under Partial Shading

Authors: Mohamed Etarhouni
Year: 2019
Source: 36th European Photovoltaic Solar Energy Conference and Exhibition
DOI: 10.4229/EUPVSEC20192019-5BO.5.6
This paper offers a comprehensive review 📚 of various PV array interconnection schemes designed to ensure maximum power output under partial shading conditions. It evaluates techniques for overcoming common solar energy challenges related to shading and array configuration.

🌅 A PV Array Reconfiguration Algorithm for Minimising Partial Shading Effects

Authors: Mohamed Etarhouni
Year: 2019
Source: 2019 10th International Renewable Energy Congress (IREC)
DOI: 10.1109/irec.2019.8754602
The paper introduces a reconfiguration algorithm 🔄 for photovoltaic arrays, aimed at minimizing the effects of partial shading 🌦️. The algorithm focuses on optimal array configuration, boosting power extraction by reducing the impact of shading on solar panels.

Pengyu Chen | Analysis (Real, Complex, Functional) | Best Researcher Award

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Prof. Pengyu Chen | Analysis (Real, Complex, Functional) | Best Researcher Award

Leading talent at Northwest Normal University, China

Dr. Pengyu Chen 🎓, an esteemed Associate Professor at Northwest Normal University 🇨🇳, stands out as a rising luminary in the realm of nonlinear analysis and infinite-dimensional dynamical systems 🔬📈. With over 75 published research articles 📚 and more than 1,300 citations 🌟, his contributions resonate across stochastic differential equations, fractional calculus, and random attractors in complex systems. Dr. Chen’s research is deeply rooted in functional analysis and applied mathematics, with innovative explorations into reaction-diffusion systems and BBM equations driven by nonlinear noise 🌊📊. His works reveal deep insights into asymptotic behavior and long-term dynamics of stochastic processes, marking him as a pioneer in modern mathematical modeling 💡🧠. Actively collaborating internationally and mentoring young scholars, Dr. Chen continues to elevate the frontiers of applied mathematics through precision, creativity, and scholarly excellence 🧮🤝. A worthy contender for the Best Researcher Award, his academic passion and innovation are truly commendable 🏅🔍.

Professional Profile

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Education 🎓

Dr. Pengyu Chen has an extensive educational background, culminating in a PhD in Applied Mathematics. His academic path laid the groundwork for his specialization in nonlinear analysis and infinite-dimensional dynamical systems. Dr. Chen’s research focuses on advanced mathematical theories and computational models, reflecting his solid understanding of both pure and applied mathematics. His educational journey provided him with the necessary tools to excel in complex areas such as stochastic processes, fractional evolution equations, and random dynamical systems, which have become central themes in his career.

Professional Experience 💼

Dr. Chen is currently an Associate Professor at Northwest Normal University in Lanzhou, China. Over the years, he has shaped the academic landscape by guiding students, mentoring budding researchers, and teaching various advanced mathematics courses. His professional experience extends beyond academia through his involvement in numerous collaborative projects and consultancy roles, where his expertise in nonlinear analysis has influenced practical solutions in applied mathematics. His work continues to bridge the gap between theoretical research and real-world applications, demonstrating his multifaceted contributions to the field.

Research Interests 🔬

Dr. Chen’s research interests span across nonlinear analysis, infinite-dimensional dynamical systems, and stochastic processes. His focus includes studying the asymptotic behavior of mathematical models, particularly in reaction-diffusion and fractional evolution equations. He also investigates the effects of noise and randomness in complex systems, contributing significantly to the understanding of random attractors and stochastic differential equations. Dr. Chen’s work explores mathematical models with applications in physics, engineering, and other scientific domains, driving innovation in the field of applied mathematics.

Awards and Honors 🏆

Dr. Pengyu Chen’s work has earned him widespread recognition in the academic world. His numerous publications in top-tier journals have made significant contributions to the advancement of nonlinear analysis and dynamical systems. His research is highly cited, and he has been the recipient of several academic honors that highlight his expertise in applied mathematics. These accolades reflect not only his technical proficiency but also his ability to solve complex mathematical problems with practical implications in various industries and research fields.

Conclusion ✨

In conclusion, Dr. Pengyu Chen is a leading figure in applied mathematics, with a strong academic background, substantial professional experience, and a focus on innovative research. His contributions to nonlinear analysis, dynamical systems, and stochastic processes have had a profound impact on both the theoretical and practical aspects of mathematics. Dr. Chen’s work continues to inspire and shape the future of applied mathematics, making him a strong candidate for recognition as one of the best researchers in his field.

Publications Top Notes

  • Weak Mean Attractors of Fractional Stochastic Lattice Systems
    Authors: Ailin Bai; Pengyu Chen
    Source: Electronic Journal of Applied Mathematics
    Year: 2024
    Summary: This work discusses the weak mean attractors in stochastic systems with fractional orders, addressing their impact in complex systems influenced by delays and nonlinearity. 🌐

  • Multivalued Random Dynamics of Benjamin-Bona-Mahony Equations
    Authors: Chen, P.; Wang, B.; Wang, R.; Zhang, X.
    Source: Mathematische Annalen
    Year: 2023
    Summary: This paper explores the multivalued random dynamics of BBM equations, providing new insights into the interaction of noise and nonlinearity in unbounded domains. 🔁

 

Ikram Ullah | Fractional Calculus | Young Scientist Award

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Dr. Ikram Ullah | Fractional Calculus | Young Scientist Award

Assistant professor at Central South University, China

Dr. Ikram Ullah is a dedicated researcher specializing in Applied Mathematics, particularly in Fractional Calculus. He earned his Ph.D. from Central South University, China, focusing on solitary wave phenomena in nonlinear fractional partial differential equations. With a strong academic background, including an M.Phil. and M.Sc. in Mathematics from Pakistan, he has held positions such as Assistant Researcher and Lecturer. Dr. Ullah has published extensively, contributing over 11 SCI-indexed papers and amassing more than 150 citations. His research emphasizes soliton dynamics and exact solutions of fractional differential equations. Recognized for his excellence, he has received several awards, including the Outstanding International Graduate Award and Best International Student Awards at Central South University. Skilled in LaTeX, Maple, and scientific writing, Dr. Ullah continues to make significant strides in mathematical sciences, supported by esteemed references from international academia. His global academic achievements and research outputs make him a promising young scientist.

Professional Profile

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🎓 Education

Dr. Ikram Ullah possesses a solid academic foundation in mathematics, with a specialization in fractional calculus. He earned his Ph.D. in Applied Mathematics from the School of Mathematics and Statistics at Central South University, China, in 2025. His doctoral research focused on solitary wave phenomena in nonlinear fractional partial differential equations. Prior to this, he completed his M.Phil. in Mathematics at Qurtuba University of Science and Technology in 2021, presenting a thesis on collapsing models in f(R) gravitational theory. He began his formal mathematical training with an M.Sc. in Mathematics from the University of Malakand in 2018. Dr. Ullah’s academic journey reflects a consistent passion for mathematical rigor and its advanced applications. His progression through reputable institutions demonstrates both intellectual commitment and strategic focus on high-impact areas of applied mathematics. 📚✨

Professional Experience

Dr. Ikram Ullah brings a rich blend of academic and research experience to the field of mathematics. He is currently serving as an Assistant Researcher at Central South University, China (since October 2024), where he actively contributes to research in fractional differential equations and soliton dynamics. His earlier roles include Lecturer on Internship at the University of Malakand (2019–2020), Visiting Lecturer at Government Post Graduate College Dargai (2017–2018), and Lecturer on Internship at Qurtuba University (2016–2017). These roles honed his teaching and mentoring skills, preparing him for advanced research responsibilities. Dr. Ullah’s professional path underscores his evolution from a committed educator to a dynamic researcher in applied mathematics. His exposure to various academic environments has broadened his perspective, enabling him to engage with global scientific problems effectively. 🧠📈

🔬 Research Interest

Dr. Ikram Ullah’s research interests lie at the intersection of fractional calculus, soliton theory, and nonlinear partial differential equations. He is deeply engaged in modeling wave phenomena using modern mathematical frameworks, particularly in the context of space-time fractional equations. His work explores exact solutions, stability, and the dynamics of traveling waves in complex systems. He has contributed to key mathematical areas such as the fractional Heisenberg ferromagnetic spin chain equation, Phi-4 models, and Kolmogorov–Petrovskii–Piskunov-type equations. His approach combines analytical techniques with symbolic computation tools like Maple and LaTeX, ensuring precision and efficiency. Dr. Ullah’s contributions are not only theoretical but also applicable in mathematical physics, engineering, and complex system modeling, bridging the gap between abstract mathematics and real-world applications. 🔎📊

🏅 Awards and Honors

Dr. Ikram Ullah has received numerous accolades in recognition of his academic excellence and research potential. He was awarded the Chinese Government Scholarship in 2021, marking the beginning of his international academic journey. He was also named Best International Student at Central South University for two consecutive years (2022 and 2023), reflecting his consistent performance and impact. In 2024, he was honored as the Outstanding International Graduate, a testament to his scholarly achievements and leadership in research. These honors underscore his dedication, innovation, and international academic presence. Dr. Ullah’s awards highlight not only his capabilities as a researcher but also his role as an ambassador for cross-cultural scientific collaboration. 🏆🌍

✅ Conclusion

Dr. Ikram Ullah exemplifies the qualities of a rising mathematical scientist—deeply knowledgeable, globally trained, and passionately committed to research excellence. His strong educational background, progressive academic career, specialized research in applied mathematics, and a portfolio of impactful publications position him as an ideal candidate for young scientist recognitions. With over 150 citations and collaborations across continents, Dr. Ullah continues to make strides in solving complex mathematical problems relevant to science and technology. His trajectory reflects a balance of innovation, diligence, and a vision for interdisciplinary integration. As he moves forward, Dr. Ullah is poised to become a leading figure in mathematical modeling and fractional calculus research. 🚀

Publications Top Notes

📘 Application of modified extended direct algebraic method to nonlinear fractional diffusion reaction equation with cubic nonlinearity

  • Authors: Muhammad Bilal, Alamgir Khan, Ikram Ullah, Jehad O. Alzabut, Hisham Mohammad Alkhawar

  • Year: 2025

  • Source: Boundary Value Problems ✍️📐
    A powerful algebraic method applied to nonlinear fractional systems.

⚡ The effect of A-site strontium substitution on the energy storage properties of ferroelectric BaZr₀.₂Ti₀.₈O₃ system

  • Authors: Sajjad A. Ali, Salar Ahmad, Javeria Farooq, Ikram Ullah, Mohammad Mahtab Alam

  • Year: 2025

  • Source: Ceramics International 🔋🔬
    Exploring energy storage materials through elemental substitution.

🌊 Numerical study of Jeffrey fluid Jeffery-Hamel flow through interacting channels embedded in porous medium

  • Authors: Muhammad Hemayat, Ikram Ullah, Saira Shukat, Marouan Boubaker Kouki, Hamid Khan

  • Year: 2025

  • Source: Multiscale and Multidisciplinary Modeling, Experiments and Design 🧪🌐
    Advanced fluid dynamics simulation in porous environments.

🔦 Study of nonlinear wave equation of optical field for solitonic type results

  • Authors: Ikram Ullah, Muhammad Bilal, Dawood Shah, Jehad O. Alzabut, Hisham Mohammad Alkhawar

  • Year: 2025

  • Source: Partial Differential Equations in Applied Mathematics 📉🔮
    Analytical wave solutions for optical field phenomena.

🌪️ Lorentz force and Brownian motion features on entropy optimization in nanofluid swirling flow through porous configuration

  • Authors: Shabir Ahmad, Ikram Ullah, Saira Shukat, Murtaza Ali

  • Year: 2025

  • Source: Multiscale and Multidisciplinary Modeling, Experiments and Design 🧲💧
    Nanofluid flow dynamics under electromagnetic influences.

☀️ Thermodynamics and solar radiative analysis in Jeffery-Hamel flow through non-parallel channel by novel improved residual power series method

  • Authors: Mohamed Bouzidi, Mohsin Ul Haq, Ikram Ullah, Hamid Khan, Marouan Boubaker Kouki

  • Year: 2025

  • Citations: 1

  • Source: Case Studies in Thermal Engineering 🌡️🔆
    Solar-driven thermodynamic flow modeling using series methods.

🔥 A numerical approach to interpret melting and activation energy phenomenon on the magnetized transient flow of Prandtl–Eyring fluid with the application of Cattaneo–Christov theory

  • Authors: Zakir Ullah, Ikram Ullah, Gul Zaman, Tianchuan Sun

  • Year: 2025

  • Citations: 22

  • Source: Waves in Random and Complex Media 💥🧊
    Transient heat and flow behaviors in non-Newtonian fluids.

💫 Numerical investigation of thin-film flow over a rotating disk subject to the heat source and nonlinear radiation: Lobatto IIIA approach

  • Authors: Tianchuan Sun, Iftikhar Uddin, Muhammad Asif Zahoor Raja, Wasim Jamshed, Saeed Islam

  • Year: 2025

  • Citations: 11

  • Source: Waves in Random and Complex Media 🔄🔥
    Thin-film flow modeling using numerical integration techniques.

🧲 Activation energy with exothermic/endothermic reaction and Coriolis force effects on magnetized nanomaterials flow through Darcy–Forchheimer porous space with variable features

  • Author: Ikram Ullah

  • Year: 2025

  • Citations: 43

  • Source: Waves in Random and Complex Media 🌪️🧪
    Comprehensive magneto-fluid modeling in variable-porosity environments.

🧮 An innovative method for solving the nonlinear fractional diffusion reaction equation with quadratic nonlinearity analysis

  • Authors: Alamgir Khan, Ikram Ullah, Javed Iqbal, Kamal Shah, Muhammad Bilal

  • Year: 2025

  • Citations: 1

  • Source: Physica Scripta ✏️🧠
    New approaches to nonlinear fractional differential systems.

 

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 

Scopus Profile
ORCID Profile

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

 

Zammad Ali | Analysis (Real, Complex, Functional) | Best Researcher Award

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Dr. Zammad Ali | Analysis (Real, Complex, Functional) | Best Researcher Award

Researcher at Bahauddin Zakariya University, Pakistan

Zammad Ali is an emerging researcher in applied mathematics, specializing in convex analysis, fractional calculus, and information sciences. He holds an MPhil in Mathematics from Bahauddin Zakariya University, Pakistan, with expertise in computational geometry, integral inequalities, and machine learning applications. His research contributions include multiple publications in high-impact journals, focusing on generalized convex functions, fractional integral inequalities, and their applications in entropy and information science. Proficient in Mathematica, MATLAB, and Python, he integrates computational tools to solve complex mathematical problems. His international collaborations with researchers from China and Japan highlight his growing academic presence. While his work demonstrates innovation and relevance, expanding his research impact through higher citation counts, interdisciplinary applications, and independent projects will further strengthen his profile. With continued contributions and leadership in mathematical research, Zammad Ali is well-positioned to make significant advancements in applied mathematics and information sciences.

Professional Profile 

Google Scholar

ORCID Profile

Education

Zammad Ali holds an MPhil in Mathematics from Bahauddin Zakariya University (BZU), Multan, Pakistan, completed between 2021 and 2023 with a CGPA of 3.30 out of 4.0. His academic focus during this period included Computational Geometry, Calculus on Time Scales, Advanced Linear Algebra, Integral Inequalities, and applications in Machine Learning and Data Science. Prior to this, he earned a Bachelor’s degree in Mathematics from the University of Education (UE), Lahore, Pakistan, from 2017 to 2021, achieving a CGPA of 3.39 out of 4.0. His undergraduate studies encompassed Mathematical Methods of Physics, Mathematical Statistics, Complex Analysis, Calculus, Differential Geometry, Linear Algebra, Real Analysis, and Ordinary Differential Equations. With a strong foundation in both pure and applied mathematics, his educational background supports his research interests in convex analysis, integral inequalities, and fractional calculus. His coursework and research reflect a blend of theoretical and computational mathematics, equipping him with diverse analytical and problem-solving skills.

Professional Experience

Zammad Ali has developed strong technical and research expertise throughout his academic journey, contributing to advanced mathematical research. Although he has not held formal academic or industry positions, his professional experience primarily lies in his research contributions and collaborations with esteemed scholars. His proficiency in computational tools like Mathematica, MATLAB, Python, and MS Office enhances his analytical capabilities. He has actively participated in mathematical research, working under the supervision of experienced professors such as Dr. Asfand Fahad and Dr. Awais Younus. His research engagements involve solving complex mathematical problems related to convex functions, integral inequalities, and fractional calculus. His publications in high-impact journals highlight his ability to contribute to contemporary mathematical advancements. While he is at an early stage of his professional career, his expertise and research collaborations position him as a promising mathematician with potential for future academic and industrial contributions.

Research Interest

Zammad Ali’s research interests focus on mathematical analysis, particularly in convex functions, integral inequalities, and fractional calculus. His work explores the properties of generalized convex functions and their applications in information sciences. He is particularly interested in geometrically arithmetically convex functions, Hermite–Hadamard–Mercer inequalities, and fractional integral operators. His research integrates theoretical mathematics with computational approaches, allowing for the development of new mathematical inequalities and their applications in various scientific domains. He has contributed to studies on entropy, information systems, and mean inequalities, demonstrating the practical relevance of his research. His growing interest in machine learning and data science suggests potential interdisciplinary applications of his mathematical expertise in optimization problems, artificial intelligence, and statistical modeling. Through his contributions, he aims to advance the field of applied mathematics, developing innovative methods that bridge pure mathematical theories with real-world applications.

Awards and Honors

Zammad Ali has made significant contributions to mathematical research, publishing in well-regarded journals such as Information Sciences, Alexandria Engineering Journal, and Fractal and Fractional. While he has not yet received formal awards or honors, his scholarly impact is evident through his collaborations with international researchers and his contributions to the field of fractional calculus and integral inequalities. His publications are gaining recognition, with citations reflecting the influence of his work within the academic community. As his research progresses, he is well-positioned to receive prestigious awards and grants for his contributions to mathematical sciences. His potential for future recognition is strong, given his consistent engagement in high-level mathematical research. With further experience, his work is expected to attract broader academic and industrial recognition, establishing him as a leading researcher in applied mathematics.

Conclusion

Zammad Ali is an emerging researcher in mathematics, specializing in convex analysis, fractional calculus, and integral inequalities. His academic journey, marked by strong theoretical foundations and computational expertise, has led to impactful research contributions. His ability to collaborate with international scholars and publish in high-impact journals demonstrates his potential as a mathematician. While he is in the early stages of his research career, his growing influence in the field suggests a promising future. With further experience and recognition, he is likely to make substantial contributions to mathematical sciences, bridging theoretical advancements with practical applications. His dedication to research and continuous learning sets the foundation for a successful academic and professional career.

Publications Top Noted

  • Title: Exploring properties and inequalities for geometrically arithmetically-Cr-convex functions with Cr-order relative entropy
    Authors: A. Fahad, Y. Wang, Z. Ali, R. Hussain, S. Furuichi
    Year: 2024
    Citations: 11
    Source: Information Sciences, Volume 662, Article ID 120219

  • Title: Novel fractional integral inequalities for GA-Cr-convex functions and connections with information systems
    Authors: A. Fahad, Z. Ali, S. Furuichi, Y. Wang
    Year: 2025
    Citations: 2
    Source: Alexandria Engineering Journal, Volume 113, Pages 509-515

  • Title: On generalization of Hermite–Hadamard–Mercer inequalities for interval-valued functions with generalized geometric–arithmetic convexity
    Authors: A. Fahad, Y. Qian, Z. Ali, A. Younus
    Year: 2024
    Citations: 2
    Source: International Journal of Geometric Methods in Modern Physics, Article ID 2440026

  • Title: New Inequalities for GA–h Convex Functions via Generalized Fractional Integral Operators with Applications to Entropy and Mean Inequalities
    Authors: A. Fahad, Z. Ali, S. Furuichi, S. I. Butt, Y. Wang
    Year: 2024
    Citations: Not available yet
    Source: Fractal and Fractional, Volume 8, Issue 12, Article ID 728

 

Shujaat Ali Shah | Analysis (Real, Complex, Functional) | Best Researcher Award

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Assist. Prof. Dr. Shujaat Ali Shah | Analysis (Real, Complex, Functional) | Best Researcher Award

Assistant Professor at Quaid-e-Awam University of Engineering, Science and Technology, Nawabshah, Pakistan

Dr. Shujaat Ali Shah is an accomplished researcher in Applied Mathematics, specializing in Complex Analysis, Geometric Function Theory, Special Functions, and Semigroup Theory. With over 16 years of academic experience, he serves as an Assistant Professor at Quaid-i-Awam University of Engineering, Science, and Technology, Nawabshah, Pakistan. He has published more than 30 peer-reviewed research papers in reputable journals such as Mathematics, AIMS Mathematics, and Turkish Journal of Mathematics, showcasing his expertise and commitment to advancing mathematical research. His work spans diverse areas, including fuzzy functions, q-calculus, and differential subordination, with significant international collaborations. Dr. Shah’s contributions to mathematical modeling and applied mathematics highlight his innovative approach. While his research impact is substantial, further engagement in high-impact publications, research grants, and global recognition could enhance his academic influence. His dedication and consistent research output position him as a strong candidate for prestigious research awards in mathematics.

Professional Profile 

Google Scholar
Scopus Profile
ORCID Profile

Education

Dr. Shujaat Ali Shah holds a Doctor of Philosophy (PhD) in Mathematics from COMSATS University Islamabad, where he conducted advanced research on linear operators in geometric function theory from 2016 to 2020. Prior to this, he earned his Master of Philosophy (M.Phil.) in Mathematics from Quaid-i-Azam University Islamabad (2009–2011), focusing on Γ-semigroups and their mathematical properties. His academic journey began with a Master of Science (M.Sc.) in Mathematics from the same institution (2006–2008), equipping him with a strong foundation in mathematical theories and analytical techniques. Through his studies, he specialized in complex analysis, geometric function theory, special functions, and semigroup theory, making significant contributions to these areas. His education has been instrumental in shaping his career as a dedicated researcher and professor, fostering a deep understanding of applied and theoretical mathematics while driving impactful research in the field.

Professional Experience

Dr. Shujaat Ali Shah is an accomplished academic with over 16 years of experience in teaching and research in mathematics. He currently serves as an Assistant Professor in the Department of Mathematics and Statistics at Quaid-i-Awam University of Engineering, Science, and Technology, Nawabshah, Pakistan. Previously, he worked as a Lecturer at the same institution and also held teaching positions at the Institute of Business Administration, Sukkur, and Govt. Degree College, Doulat Pur. His expertise spans Complex Analysis, Geometric Function Theory, Special Functions, and Semigroup Theory, contributing to both undergraduate and postgraduate education. Dr. Shah has actively participated in research supervision, curriculum development, and academic training programs, enhancing the learning experience for students. He has also attended ICT teaching training programs, demonstrating his commitment to professional growth. His extensive teaching career, coupled with his prolific research contributions, makes him a distinguished figure in the field of applied mathematics.

Research Interest

Dr. Shujaat Ali Shah’s research interests lie in the fields of Complex Analysis, Geometric Function Theory, Special Functions, and Semigroup Theory, with a strong focus on analytical methods and mathematical modeling. His work explores coefficient estimates, fuzzy functions, differential subordination, and convexity properties in function theory, contributing to the development of new mathematical frameworks. He has extensively investigated q-calculus, multiplier operators, and generalizations of close-to-convex functions, advancing knowledge in applied and theoretical mathematics. His research also extends to the study of harmonic functions, fuzzy differential equations, and analytic function subclasses, bridging pure and applied mathematical approaches. Through international collaborations and interdisciplinary studies, he continuously explores innovative methods to solve complex mathematical problems, particularly those relevant to engineering, physics, and computational sciences. With a robust publication record, Dr. Shah remains dedicated to expanding mathematical frontiers and fostering advancements in contemporary mathematical research.

Award and Honor

Dr. Shujaat Ali Shah is a distinguished researcher in applied mathematics, recognized for his significant contributions to complex analysis, geometric function theory, and special functions. With over 30 peer-reviewed publications in reputable journals such as Mathematics, AIMS Mathematics, and Turkish Journal of Mathematics, he has established himself as a leading academic in his field. His research collaborations span multiple countries, including Romania, Saudi Arabia, Egypt, and Spain, showcasing his global impact. Dr. Shah has been honored for his dedication to mathematical sciences through his role as an Assistant Professor at Quaid-i-Awam University and his extensive teaching and research experience of over 16 years. His scholarly work has earned him invitations to collaborate on international research projects, contributing to the advancement of applied mathematics. His recognition in academia continues to grow, solidifying his reputation as an influential mathematician dedicated to solving complex mathematical problems and mentoring future researchers.

Conclusion

Dr. Shujaat Ali Shah is a highly accomplished researcher in applied mathematics, with a strong focus on complex analysis, geometric function theory, and mathematical modeling. His extensive publication record in reputable international journals, coupled with collaborations across multiple countries, highlights his global research impact. With over 16 years of academic and research experience, he has consistently contributed to advancing mathematical knowledge through innovative studies on fuzzy functions, q-calculus, and differential subordination. While his research output and collaborations are commendable, further enhancing citation impact, securing research grants, and engaging in applied industrial projects could elevate his recognition to a higher level. His expertise, dedication, and consistent contributions make him a strong contender for the Best Researcher Award in Applied Mathematics. With a focus on expanding the real-world applications of his work and increasing scholarly influence, Dr. Shah has the potential to achieve even greater recognition in the global mathematical research community.

Publications Top Noted

  • Study on the q-analogue of a certain family of linear operators
    Authors: SA Shah, KI Noor
    Year: 2019
    Citations: 55

  • On fuzzy spiral-like functions associated with the family of linear operators
    Authors: AF Azzam, SA Shah, A Cătaș, LI Cotîrlă
    Year: 2023
    Citations: 10

  • On fuzzy differential subordination associated with q-difference operator
    Authors: SA Shah, EE Ali, A Catas, AM Albalahi
    Year: 2023
    Citations: 10

  • Inclusion results for the class of fuzzy α-convex functions
    Authors: SA Shah, EE Ali, AA Maitlo, T Abdeljawad, AM Albalahi
    Year: 2022
    Citations: 9

  • Fuzzy differential subordination and superordination results for q-analogue of multiplier transformation
    Authors: AA Lupas, SA Shah, LF Iambor
    Year: 2023
    Citations: 6

  • A Study of Spiral‐Like Harmonic Functions Associated with Quantum Calculus
    Authors: SA Shah, LI Cotirla, A Catas, C Dubau, G Cheregi
    Year: 2022
    Citations: 6

  • On q-Mocanu type functions associated with q-Ruscheweyh derivative operator
    Authors: KI Noor, SA Shah
    Year: 2020
    Citations: 6

  • Applications of q-calculus multiplier operators and subordination for the study of particular analytic function subclasses
    Authors: EE Ali, GI Oros, SA Shah, AM Albalahi
    Year: 2023
    Citations: 6

  • On new subclass of harmonic univalent functions associated with modified q-operator
    Authors: SA Shah, AA Maitlo, MA Soomro, KI Noor
    Year: 2021
    Citations: 4

  • On fuzzy differential subordination associated with -difference operator
    Authors: SA Shah, EE Ali, A Catas, AM Albalahi
    Year: 2023
    Citations: 4

  • Application of Srivastava-Attiya Operator to the Generalization of Mocanu Functions
    Authors: KI Noor, SA Shah
    Year: 2019
    Citations: 3

  • Study of the fuzzy q-spiral-like functions associated with the generalized linear operator
    Authors: AA Azzam, D Breaz, SA Shah, LI Cotirla
    Year: 2023
    Citations: 2

  • On generalized gamma-Bazilevic functions
    Authors: KI Noor, SA Shah, A Saliu
    Year: 2021
    Citations: 2

  • Study of the q-spiral-like functions of complex order
    Authors: KI Noor, SA Shah
    Year: 2021
    Citations: 2

  • On certain generalized Bazilevic type functions associated with conic regions
    Authors: KI Noor, SA Shah
    Year: 2020
    Citations: 2

  • Study of Generalized q‐Close‐to‐Convex Functions Related to Parabolic Domain
    Authors: KI Noor, AA Lupas, SA Shah, AM Sibih, S Abdel-Khalek
    Year: 2023
    Citations: 1

  • Some Inclusion and Radius Problems of Certain Subclasses of Analytic Functions
    Authors: KI Noor, M Kamran, SA Shah
    Year: 2021
    Citations: 1

  • Applications of certain operators to the classes of analytic functions related to the generalized Janowski functions
    Authors: KI Noor, SA Shah
    Year: 2020
    Citations: 1