SK Hojayfa Rahaman is a researcher and academic with a strong background in optimization algorithms, operations research, and computational intelligence. His research interests include combinatorial optimization problems such as the Traveling Salesman Problem, Traveling Purchaser Problem, and scheduling problems, with a particular focus on metaheuristic and hybrid algorithms including Genetic Algorithms, Differential Evolution, Grey Wolf Optimizer, and Particle Swarm Optimization. He has experience in developing mathematical models, benchmark datasets, and algorithmic frameworks for complex real-world optimization problems. His work also extends to data analysis, statistical methods, and research methodology. He has contributed to scholarly publications and actively engages in teaching and mentoring in the areas of algorithms, artificial intelligence, and optimization techniques.