Assoc. Prof. Dr. Mohamed Ali El Sayed Fahim  – applied mathematics – Best Researcher Award 

Assoc. Prof. Dr. Mohamed Ali El Sayed Fahim  - applied mathematics - Best Researcher Award 

Basic sciences department -faculty of engineering - Egypt

Author Profile 

SCOPUS 

ORCID 

🎓 Early academic pursuits

Mohamed Ali El Sayed Fahim  his academic journey began with a passion for engineering and mathematics, culminating in a bachelor's degree in electrical engineering with a specialization in measurements and controls from benha university in 2008. earning a "very good with honors" distinction, he demonstrated early on a strong foundation in technical sciences, particularly in power electronics and engineering mathematics. his growing interest in advanced mathematical modeling led him to pursue postgraduate studies in mathematical programming and operations research.

👨‍🏫 Professional endeavors

Fahim's professional academic career began in 2009 as a demonstrator of engineering mathematics at the faculty of engineering, benha university. over the next several years, he steadily rose through academic ranks, from assistant teacher in 2014 to lecturer in 2018, and ultimately to associate professor in 2023. he served at both benha university and bader university in cairo (buc), where he has been a cornerstone in the department of basic engineering sciences.

📚 Contributions and research focus

Associate professor fahim’s primary research interests lie in mathematical programming, operations research, and multi-objective optimization. his academic work bridges theory with applied mathematics engineering applications, offering solutions to complex, uncertain systems.

🌍 Impact and influence

Fahim’s research has significantly influenced both academic and industrial spheres. his work on multi-level programming and uncertain optimization models has been applied in engineering applied mathematics contexts, especially where systems like power electronics require precise and adaptive control methods.

📈 Academic citations and recognitions

Mohamed Fahim is a registered researcher on international platforms such as orcid and scopus. he is recognized for his scholarly productivity, particularly in the fields of operations research applied mathematics and mathematical modeling. his citation metrics on scopus reflect the growing relevance of his research in global academic circles.

🧭 Legacy and future contributions

Looking ahead, fahim envisions continuing his work at the intersection of mathematics and engineering. his goal is to advance optimization algorithms that can support next-generation technologies, particularly within power electronics systems and intelligent control networks.

Notable Publications 

  • Title: Two TOPSIS-Based Approaches for Multi-Choice Rough Bi-Level Multi-Objective Nonlinear Programming Problems
    Authors: Mohamed A. El Sayed, Farahat A. Farahat, Mohamed A. Elsisy, Maazen Alsabaan, Mohamed I. Ibrahem, Haitham Elwahsh
    Journal: Mathematics

  • Title: Performance Analysis of Fully Intuitionistic Fuzzy Multi-Objective Multi-Item Solid Fractional Transportation Model
    Authors: Sultan Almotairi, Elsayed Badr, M. A. Elsisy, F. A. Farahat, M. A. El Sayed
    Journal: Fractal and Fractional

  • Title: Multi-choice fractional stochastic multi-objective transportation problem
    Authors: M. A. El Sayed, Ibrahim A. Baky
    Journal: Soft Computing

  • Title: The Karush–Kuhn–Tucker (KKT) optimality conditions for fuzzy-valued fractional optimization problems
    Authors: Deepika Agarwal, Pitam Singh, M. A. El Sayed
    Journal: Mathematics and Computers in Simulation

  • Title: Stability of Parametric Intuitionistic Fuzzy Multi-Objective Fractional Transportation Problem
    Author: M. A. El Sayed
    Journal: Fractal and Fractional

Dr. Ajay K. Palit – Computational Intelligence – Best Researcher Award

Dr. Ajay K. Palit - Computational Intelligence - Best Researcher Award

University of Bremen - Germany

Professional Profile 

SCOPUS

EARLY ACADEMIC PURSUITS 🎓

Ajay K. Palit and Dobrivoje Popovic, distinguished scholars in the field of computational intelligence, began their academic journeys with a robust foundation in engineering and mathematics. Their early work laid the groundwork for their future contributions to the field of time series forecasting and industrial process control. Both scholars pursued advanced studies and research in their respective areas, developing a deep understanding of computational techniques and their applications in real-world scenarios.

PROFESSIONAL ENDEAVORS 🏢

Dr. Ajay K. Palit and Dr. Dobrivoje Popovic are both affiliated with the University of Bremen, Germany, where they continue to drive innovation in computational intelligence. Their professional careers are marked by significant roles in academia and industry, focusing on enhancing the effectiveness of time series forecasting through advanced computational techniques. Their expertise extends to the practical applications of these techniques in industrial systems and process control.

CONTRIBUTIONS AND RESEARCH FOCUS 🔬

Palit and Popovic have made notable contributions to the field of computational intelligence, particularly in time series forecasting. Their research encompasses a range of intelligent technologies, including neural networks, fuzzy logic, and evolutionary computation. They have pioneered hybrid computational approaches, such as neuro-fuzzy and transparent fuzzy/neuro-fuzzy modeling, which offer improved quality, Computational Intelligence model building, and predictive control in industrial processes. Their work addresses the challenges of on-line application and computational efficiency in industrial settings.

ACCREDITATIONS AND RECOGNITION 🏅

Their pioneering work has been widely recognized and has earned them respect in the academic and industrial communities. The book "Computational Intelligence in Time Series Forecasting: Theory and Engineering Applications" by Palit and Popovic is acclaimed for its Computational Intelligence comprehensive exploration of intelligent technologies and their practical applications. The authors' contributions are integral to the ongoing development and refinement of computational tools used in industrial process control and forecasting.

IMPACT AND INFLUENCE 🌍

The influence of Palit and Popovic’s work extends across various industries, including manufacturing, process control, and research. By advancing computational intelligence techniques, they have significantly improved the ability to forecast and control industrial processes. Their research has helped bridge the gap between theoretical knowledge and practical application, making a tangible impact on industrial efficiency Computational Intelligence and predictive accuracy.

LEGACY AND FUTURE CONTRIBUTIONS 🔮

Ajay K. Palit and Dobrivoje Popovic continue to inspire and lead in their field, shaping the future of computational intelligence in time series forecasting. Their legacy is reflected in their innovative approaches and the ongoing relevance of their research in addressing complex industrial challenges. As they advance their work, they remain committed to exploring new computational techniques and applications, ensuring their contributions will have a lasting impact on the field.

NOTABLE PUBLICATIONS

Distributed RLGC transient model of coupled interconnects in DSM chips for crosstalk noise simulation 2008(8)