Profile Summary

Sebanti Majumder is an Assistant Professor and enthusiastic researcher specializing in the field of combinatorial optimization and algorithm design. She is pursuing her Ph.D. from University of Hyderabad. Her research is dedicated to developing innovative heuristic, meta-heuristic, and hyper-heuristic solutions for challenging NP-hard problems, with particular focus on complex variants of the Traveling Salesperson Problem (TSP).

She has published several papers in reputed journals and remains passionate about collaboration and advancing computer science in these emerging research areas.

Work Experience

Before joining UPES, Sebanti Majumder worked at Techno India University. She has also served as a Guest Faculty at the Centre of Integrated Studies, University of Hyderabad.

Her teaching experience spans undergraduate and postgraduate instruction, curriculum support, and student mentoring.

Research Interests

Teaching Philosophy

Sebanti believes in a supportive and engaging teaching approach. She focuses on practical knowledge and critical thinking while encouraging hands-on learning, real-life examples, and active participation.

She nurtures curiosity, collaboration, and effective communication to help students understand complex concepts and develop a sustained interest in computer science.

Courses Taught

Data Structures and Algorithms | Enterprise Resource Planning | Linux Lab | Compiler Design | Prompt Engineering

Scholarly Activities

Sebanti Majumder has contributed to research in combinatorial optimization, algorithm design, and heuristic computing through several publications in reputed journals. Her scholarly work primarily focuses on solving NP-hard optimization problems using innovative heuristic, meta-heuristic, and hyper-heuristic approaches.

Her research contributions continue to strengthen computational optimization methodologies with applications in logistics, routing, and intelligent decision systems.

Contact

Email: Sebanti.majumder@ddn.upes.ac.in