Mohamed Abdel-Basset

Optimization / Artificial Intelligence

mohammed Resume

Mohamed
Abdel-Basset

Optimization / Artificial Intelligence

Mohammed CV/Resume

Mohamed Abdel-Basset

Ph.D, SMIEEE

Associate Professor, Head of Computer Science Department, Faculty of Computers and Informatics, Zagazig University, Zagazig, Al Sharqia, Egypt, 44519
Founder of DEEPOLOGY LAB
Leader of the Artificial Intelligence Research Group (FCIAI)
Director of Artificial Intelligence & Data Science program

Teaching Experience

I have taught many different types of Computers and operations research courses since 2006 at Zagazig University.

Undergraduate Courses


BS110 Mathematics
BS125 Applied Statistics and Probability
BS150 Discrete Mathematics
HU155 Report Writing and Presentation skills
BS200 Numerical Computing
DS200 Operations Research
DS250 Discrete Structures
CS300 Artificial Intelligence
DS350 Computer Simulation Techniques
CS415 Computational Intelligence
CS460 Theory of Computations
DS410 Stochastic Models in Operation Research and Decision Support
DS420 Selected Topics in Operation Research and Decision Support
DS465 Multiobjective Programming
DS470 Computational Intelligence in Operation Research and Decision Support

Postgraduate Courses


CS 600 Advanced Analysis of Algorithms
CS 601 Advanced Artificial Intelligence
CS 606 Advanced Topics in Computer Science (I)
CS 607 Advanced Topics in Computer Science (II)
CS 610 Complexity Theory
CS 614 Evolutionary Algorithms
CS 615 Fuzzy Logic and Intelligent Systems
DS 600 Advanced Forecasting Techniques
DS 601 Advanced Topics in Decision Analysis
DS 602 Computational Intelligence in OR and DSS
DS 605 Deterministic Operations Research
DS 606 Discrete System Simulation
DS 610 Integer Programming
DS 612 Linear Programming
DS 615 Modeling Techniques
DS 616 Multicriteria Decision Analysis
DS 617 Network Modeling
DS 618 Non-Linear Programming
DS 622 Quantitave Methods
DS 623 Queuing Theory
DS 626 Scheduling Techniques
DS 627 Stochastic Operations Research
DS 628 Stochastic Processes
DS 630 Dynamic methods