Marlom Bey
Quantum-Inspired Algorithms
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About
Ph.D. Researcher in Computer Science and Engineering at the National Institute of Technology Sikkim, specializing in quantum-inspired optimization and quantum reinforcement learning for edge computing systems. My work focuses on designing scalable algorithms for complex problems such as task offloading, resource allocation, and service placement.
I have published multiple Q1 journal papers in IEEE and Elsevier venues, with over 130+ citations. My research lies at the intersection of optimization, reinforcement learning, and edge computing systems.
Experience
Ph.D. Researcher at National Institute of Technology Sikkim (2022-01 – Present)
Conducting research in quantum-inspired optimization and quantum reinforcement learning for edge computing systems
- Designed quantum-inspired evolutionary algorithms for edge computing systems
- Developed quantum reinforcement learning-based task offloading and resource allocation strategies for edge computing systems
- Published multiple Q1 journal papers with 130+ citations
Education
Doctor of Philosophy (Ph.D.) in Computer Science and Engineering – National Institute of Technology Sikkim (2022-01)
Master of Technology in Computer Science and Engineering – National Institute of Technology Sikkim (2020-01 – 2022-12)
Bachelor of Technology in Computer Science and Engineering – Assam Don Bosco University (2016-01 – 2020-12)
