National Institute of Technology Rourkela

राष्ट्रीय प्रौद्योगिकी संस्थान राउरकेला

ଜାତୀୟ ପ୍ରଯୁକ୍ତି ପ୍ରତିଷ୍ଠାନ ରାଉରକେଲା

An Institute of National Importance

Faculty Profile

BIOGRAPHY

Dr. Prasenjit Dey received the B.Tech. degree in computer science and engineering from the West Bengal University of Technology, dolkata, India, in 2010, and the M.Tech. Degree in computer science and engineering from the National Institute of Technology Durgapur, Durgapur, India, in 2012. He was an Associate Innovator with Nivio Technologies, Gurgaon, India, in 2012. He was a hardware graphics designer at Intel from 2017 to 2018. He received his Ph.D. degree in computer science and engineering from the National Institute of Technology Durgapur, Durgapur, India, in 2018. He was an Assistant Professor in computer science and engineering department at Cooch Behar Government Engineering College, Cooch Behar, India. He has joined the National Institute of Technology Rourkela, Odisha, India as an Assistant Professor in the Department of Computer Science in 2023 and is currently working. His current research interests include artificial neural networks, pattern recognition, machine learning, etc. He has many research publications in internationally reputed journals like IEEE Transactions on Systems, Man, and Cybernetics, IEEE Transactions on Artificial Intelligence, IEEE internet of things journal impact, Biomedical Signal Processing and Control, etc. He has more than 15 research publications in internationally reputed edited books and international conference proceedings.

EXPERTISE INFORMATION

Research Group
  • Intelligent Computing and Computer Vision
Areas of Interest
  • Machine Learning
  • Soft Computing
  • Pattern Recognition
  • Artificial Neural Networks
  • Deep Learning

Prasenjit Dey Assistant Professor Grade-II

Computer Science and Engineering

deyp@nitrkl.ac.in

21

PUBLICATIONS

1

SPONSORED PROJECTS

2

CONTINUING EDUCATION

PERSONAL INFORMATION

Prasenjit Dey

Assistant Professor Grade-II

Computer Science and Engineering

Room Number: CS-321

Department of Computer Science and Engineering, National Institute of Technology Rourkela, Sundargarh, Odisha, India - 769008

2018

Ph.D.
Computer Science and Engineering
National Institute of Technology Durgapur

2012

M.Tech
Computer Science and Engineering
National Institute of Technology Durgapur

2010

B.Tech
Computer Science and Engineering
College of Engineering and Management, Kolaghat

Teaching Experience
  • Machine Learning, Big Data, Operating Systems, Computer Organization, Comuter Architecture, Object Oriented Programming, Multimedia,  Cooch Behar Government Engineering College,   28 Jun 2018 - 24 Jul 2023
Industrial Experience
  • Hardware Graphics Engineer,  Intel,   27 Feb 2017 - 27 Jun 2018
  • Cloud Computing,  Nivio Technologies,   16 Jul 2012 - 28 Nov 2012

Prototyping of ML based Solar & Wind Forecasting Approach and Intelligent Power Management Scheme for Hybrid Storages in On-board Naval Microgrid DRDO
  • Co-Investigator
  • 36
  • Running   Sponsored

Total Publications: 21

A. Gain and P. Dey,"Adaptive Position--Based Crossover in the Genetic Algorithm for Data Clustering", Recent Advances in Hybrid Metaheuristics for Data Clustering, ch.3, pp.39-59, Wiley Online Library 2020, 10.1002/9781119551621.ch3       Inbook

A. Acharyya, P. Dey, A. Datta, and S. Bose,"Analytical modelling of video surveillance system along forest railway tracks", iete journal of education, vol.61, no.2, pp.55--63, taylor \& francis 2020, 10.1080/09747338.2020.1798821       Article

S. Mukherjee, P. Dey, and T. Pal,"GFRP cutting parameters optimization using different moeas", in 2017 international conference on intelligent computing, instrumentation and control technologies (icicict), pp.654--659, IEEE 2017, 10.1109/ICICICT1.2017.8342640       Inproceedings

P. Dey and T. Pal,"A new feature extraction technique for classifiers using self-organising map", international journal of convergence computing, vol.2, no.3-4, pp.208--219, inderscience publishers (iel) 2016, 10.1504/IJCONVC.2016.090079       Article

P. Dey and T. Pal,"Extended self organizing map with probabilistic neural network for pattern classification problems", in proceedings of the 3rd international conference on frontiers of intelligent computing: theory and applications (ficta) 2014: volume 1, pp.167--174, Springer International Publishing, advances in intelligent systems and computing 2015, 10.1007/978-3-319-11933-5_19       Inproceedings

Applications of Machine Learning Techniques in Sustainable Technologies (AMLST-2024) Electrical Engineering (Short-term Course)
Recent Trends in Computer Vision (RTCV-2023) Computer Science and Engineering (Short-term Course)

  • CS2003 : Discrete Structures {Theory}
  • CS2062 : Database Management Systems {Theory}
  • CS1010 : Programming for Problem Solving {Practical}
  • CS2072 : Database Engineering Laboratory {Practical}
  • CS3071 : Operating Systems Laboratory {Practical}