Assoc. Prof. Dr. Mohamed Issa | Electrochemistry | Best Researcher Award

Egypt Japan University Of Science & Technology, Egypt

Profiles

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Early Academic Pursuits

Dr. Mohamed Issa embarked on his academic journey with a B.Sc. in Computer Engineering from the Faculty of Engineering, Zagazig University, in 2009, earning an Excellent with Honor distinction. His passion for computer systems and engineering led him to pursue higher education, obtaining an M.Sc. in Computer Engineering in 2013 from the same institution. His research during this period laid a strong foundation for his expertise in meta-heuristics, soft computing algorithms, and artificial intelligence. He further cemented his academic credentials by earning a Ph.D. in Computer Engineering in 2019 from Zagazig University, focusing on advanced computational techniques.

Professional Endeavors

Dr. Issa's professional career reflects a steady progression through academia. His tenure at Zagazig University began in 2013 as a Teaching Assistant, where he played a crucial role in guiding students in computer engineering subjects. He later advanced to Lecturer Assistant until 2019, when he earned his Ph.D. and transitioned into a full-time Assistant Professor at the Computer and Systems Department, Faculty of Engineering, Zagazig University. In parallel, he contributed to multiple institutions, including NAHDA University and the Higher Technological Institute in Tenth of Ramadan City, as a Part-time Assistant Professor, bringing his expertise in computer science to a broader student community.

His academic growth was officially recognized in 2024 when he was promoted to Associate Professor. He currently holds dual appointments:

• Full-time Associate Professor at Egypt-Japan University for Science and Technology (E-JUST).
• Full-time Associate Professor at Zagazig University’s Computer and Systems Department.

These roles underline his national and international contributions to higher education and research.

Contributions and Research Focus

Dr. Issa’s research contributions span multiple disciplines, with a strong focus on artificial intelligence and computational optimization. His work includes:
Soft Computing Algorithms – Developing and refining computational models for intelligent systems.
Meta-heuristics & Stochastic Algorithms – Enhancing optimization techniques used in engineering and artificial intelligence.
Engineering Problems Optimization – Applying AI-driven approaches to solve complex real-world engineering challenges.
Artificial Intelligence & Machine Learning – Advancing AI methodologies for automation and decision-making.
Computer Vision – Exploring image processing and pattern recognition techniques.
Parallel Computing – Leveraging multi-core and distributed systems for computational efficiency.
Bioinformatics – Implementing AI algorithms for genetic data analysis and biomedical research.

His research contributions have been widely recognized, particularly in machine learning-based optimization, AI-driven decision-making systems, and bioinformatics applications.

Impact and Influence

Dr. Issa has made a significant impact in the fields of computer science, engineering optimization, and artificial intelligence. His work has influenced research directions in multiple domains, including:
Developing enhanced meta-heuristic algorithms for complex optimization problems.
Advancing AI methodologies for industrial and healthcare applications.
Contributing to bioinformatics research, particularly in sequence alignment and computational biology.

His research has been cited extensively in top-tier scientific journals, showcasing his influence in the global research community.

Academic Citations & Recognition

Dr. Issa’s work has gained considerable academic recognition, reflected in the high citation counts of his publications. His peer-reviewed research in top journals such as Expert Systems with Applications, Applied Soft Computing, and Sustainable Energy Technologies and Assessments highlights his expertise in AI and optimization. His interdisciplinary approach has fostered collaborations with researchers worldwide, further elevating his academic stature.

Technical Skills

Dr. Issa is proficient in a wide range of technical and analytical tools, including:
Programming Languages: Python, C++, MATLAB, Java.
Optimization Techniques: Meta-heuristics, Evolutionary Algorithms, Swarm Intelligence.
AI & Machine Learning: Deep Learning, Neural Networks, Reinforcement Learning.
Computational Tools: TensorFlow, OpenCV, Scikit-learn, PyTorch.
Parallel Computing: GPU programming, CUDA, OpenMP.

Teaching Experience & Mentorship

With over a decade of teaching experience, Dr. Issa has guided numerous undergraduate and postgraduate students. His dynamic teaching methodology integrates theoretical concepts with practical applications, ensuring students gain hands-on experience in AI, optimization, and bioinformatics. He has also mentored students in their research projects, dissertations, and international competitions, many of whom have gone on to pursue successful careers in academia and industry.

Legacy and Future Contributions

Dr. Mohamed Issa continues to drive innovation and knowledge in artificial intelligence, bioinformatics, and optimization algorithms. His future research directions include:
Developing cutting-edge AI models for next-generation computing.
Enhancing computational efficiency through advanced parallel processing.
Bridging AI and healthcare to create predictive and diagnostic tools.
Spearheading interdisciplinary collaborations to address emerging global challenges.

Through his extensive research, teaching, and mentorship, Dr. Issa is shaping the future of AI-driven innovation and contributing to scientific advancements that impact both industry and academia.

Notable Publications

ASCA-PSO: Adaptive sine cosine optimization algorithm integrated with particle swarm for pairwise local sequence alignment

Authors: M. Issa, D. Oliva, A.E. Hassanien, H. Ahmed, A. Ahmed

Journal: Expert Systems with Applications

Year: 2018

Low-cost bilayered structure for improving the performance of solar stills: Performance/cost analysis and water yield prediction using machine learning

Authors: A.H. Elsheikh, S. Shanmugan, R. Sathyamurthy, A.K. Thakur, M. Issa, ...

Journal: Sustainable Energy Technologies and Assessments

Year: 2022

Passive vehicle suspension system optimization using Harris Hawk Optimization algorithm

Authors: M. Issa, A. Samn

Journal: Mathematics and Computers in Simulation

Year: 2022

Enhanced arithmetic optimization algorithm for parameter estimation of PID controller

Authors: M. Issa

Journal: Arabian Journal for Science and Engineering

Year: 2023

Human activity recognition based on embedded sensor data fusion for the internet of healthcare things

Authors: M.E. Issa, A.M. Helmi, M.A.A. Al-Qaness, A. Dahou, M. Abd Elaziz, ...

Journal: Healthcare

Year: 2022

Optimal parameters extracting of fuel cell based on Gorilla Troops Optimizer

Authors: M. Abd Elaziz, L. Abualigah, M. Issa, A.A. Abd El-Latif

Journal: Fuel

Year: 2023

Analyzing COVID-19 virus based on enhanced fragmented biological Local Aligner using improved Ions Motion Optimization algorithm

Authors: M. Issa, M. Abd Elaziz

Journal: Applied Soft Computing

Year: 2020