Sudarshan Nandy

About

Dr Sudarshan Nandy was felicitated with a PhD in engineering and technology from Kalyani University in the year 2014. He has obtained his M.Tech in Computer Science and Engineering from the West Bengal University of Technology in the year 2007. He earned his B.E degree in Computer Science and Engineering from BPUT, Orissa in the year 2004. He is presently working in the rank of Associate Professor at the School of Computer Science and Engineering, SCOPE, VIT University, Vellore, Tamil Nadu, India. His area of research includes Artificial Neural Network, metaheuristic algorithms, optimization, functional analysis, cloud computing. He has contributed to many research articles in various journals and conferences of repute. He is also a member of a various professional society like AIENG etc.

Employment

• VIT University Associate Professor
  2022 - Present

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (25)

• Nanorobot-Based Intelligent Symptoms Analysis and Recommendation Framework in Edge Networks
  IEEE Journal of Biomedical and Health Informatics 2026 DOI: 10.1109/JBHI.2023.3278991
  +Save
• Edge-Centric Intelligent Early Warning System for Residual Soil Stability Prediction in Slope
  IEEE Internet of Things Journal 2024 DOI: 10.1109/JIOT.2023.3293126
  +Save
• Deep Transfer Learning for Communicable Disease Detection and Recommendation in Edge Networks
  IEEE/ACM Transactions on Computational Biology and Bioinformatics 2023 DOI: 10.1109/TCBB.2022.3180393
  +Save
• Analysis of Communicable Disease Symptoms Using Bag-of-Neural Network at Edge Networks
  IEEE Sensors Journal 2023 DOI: 10.1109/JSEN.2022.3167416
  +Save
• IBoNN: Intelligent Agent-based Internet of Medical Things framework for detecting brain response from Electroencephalography signal using Bag-of-Neural Network
  Future Generation Computer Systems 2022 DOI: 10.1016/j.future.2021.12.019
  +Save
• Disruptive Trends in Computer Aided Diagnosis
  Chapman and Hall/CRC 2021 DOI: 10.1201/9781003045816
  +Save
• Sustainable task scheduling strategy in cloudlets
  Sustainable Computing: Informatics and Systems 2021 DOI: 10.1016/j.suscom.2021.100513
  +Save
• An intelligent heart disease prediction system based on swarm-artificial neural network
  Neural Computing and Applications 2021 DOI: 10.1007/s00521-021-06124-1
  +Save
• An Intrusion Detection Mechanism for Secured IoMT framework based on Swarm-Neural Network
  IEEE Journal of Biomedical and Health Informatics 2021 DOI: 10.1109/jbhi.2021.3101686
  +Save
• Intelligent Health Monitoring System for Detection of Symptomatic/Asymptomatic COVID-19 Patient
  IEEE Sensors Journal 2021 DOI: 10.1109/jsen.2021.3096425
  +Save