CV

Education

• B.Tech. in Electronics and Instrumentation Engineering, NIT Silchar, India, 2016
• M.Tech. in Computer Science, ISI Kolkata, India, 2021
• Ph.D (ongoing) in Computer Science and Engineering, NTU Singapore, 2027 (expected)

Work experience

• CNRS@CREATE May’22-Dec’22: Research Associate
  • Application of RL to Optimization Problem in Microgrid
  • Duties included: Research
  • Supervisor: Dr. Blaise and Prof. Arvind
• Infocusp Dec’21-May’22: Machine Learning Engineer
  • Solving ARC
  • Duties included: GP, Autoencoder and VAE implementation

Skills

• Deep Learning
• Machine Learning
• Reinforcement Learning

Publications

Image contrast enhancement in spatial domain using fuzzy logic based interpolation method

Subrat Panda, "Image contrast enhancement in spatial domain using fuzzy logic based interpolation method." In the proceedings of 2016 IEEE Students' Conference on Electrical, Electronics and Computer Science (SCEECS), 2016.

Dynamic Edge User Allocation with User Specified QoS Preferences

Subrat Panda, Kaustabha Ray, Ansuman Banerjee, "Dynamic Edge User Allocation with User Specified QoS Preferences." In the proceedings of Service-Oriented Computing, 2020.

Service Allocation/Placement in Multi-Access Edge Computing with Workload Fluctuations

Subrat Panda, Kaustabha Ray, Ansuman Banerjee, "Service Allocation/Placement in Multi-Access Edge Computing with Workload Fluctuations." In the proceedings of Service-Oriented Computing, 2021.

User Allocation in Mobile Edge Computing: A Deep Reinforcement Learning Approach

Subrat Panda, Ansuman Banerjee, Arani Bhattacharya, "User Allocation in Mobile Edge Computing: A Deep Reinforcement Learning Approach." In the proceedings of 2021 IEEE International Conference on Web Services (ICWS), 2021.

Service and leadership

• NTU SCSE GSC Member

Download CV here