National Institute of Technology Rourkela

राष्ट्रीय प्रौद्योगिकी संस्थान राउरकेला

ଜାତୀୟ ପ୍ରଯୁକ୍ତି ପ୍ରତିଷ୍ଠାନ ରାଉରକେଲା

An Institute of National Importance

Faculty Profile

ORCID ID
Scopus ID
Researcher ID
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BIOGRAPHY

Dr. Prasenjit Dey received the B.Tech. Degree in computer science and engineering from the West Bengal University of Technology, Kolkata, 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 the computer science and engineering at Cooch Behar Government Engineering College, Cooch Behar, India. He 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. He has successfully completed one government project and is currently involved in few others. His current research interests include artificial neural networks, pattern recognition, machine learning, deep learning, IoT design, 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, Biomedical Signal Processing and Control, Pattern Recognition, etc. He has more than 25 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
  • Data Science

Prasenjit Dey Assistant Professor Grade-II

Computer Science and Engineering

deyp@nitrkl.ac.in

Biosketch

27

PUBLICATIONS

1

SPONSORED PROJECTS

4

DOCTORAL STUDENTS

3

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

6
GOOGLE SCHOLAR H-INDEX 4
GOOGLE SCHOLAR I10-INDEX 6
SCOPUS H-INDEX
Total Publications: 27
View All Publications

P. Dey, K. Nag, T. Pal, and N. R. Pal,"Regularizing multilayer perceptron for robustness", IEEE Transactions on Systems, man, and cybernetics: systems, vol.48, no.8, pp.1255--1266, IEEE 2017, 10.1109/TSMC.2017.2664143       Article

P. Dey, M. Gopal, P. Pradhan, and T. Pal,"On robustness of radial basis function network with input perturbation", neural computing and applications, vol.31, pp.523--537, springer london 2019, 10.1007/s00521-017-3086-5       Article

K. Subashis, K. Supreeti, P. Dey, P. Guhathakurta, M. Dalui, T. K. Bera, S. Halder, C. Koley, T. Pal, and A. Basu,"Real time detection of cognitive load using fnirs: a deep learning approach", Biomedical Signal Processing and Control, vol.80, no.1, pp.104227, Elsevier 2023, 10.1016/j.bspc.2022.104227       Article

R. Mondal, T. Pal, and P. Dey,"A hybrid regularized multilayer perceptron for input noise immunity", IEEE Transactions on Artificial Intelligence, pp.1-12, IEEE 2023, 10.1109/TAI.2022.3225124       Article

B. Egala, A. Pradhan, P. Dey, V. Badarla, and S. Mohanty,"Fortified-chain 2.0: intelligent blockchain for decentralized smart healthcare system", IEEE Internet of Things Journal, vol.10, no.14, pp.12308 - 12321, IEEE 2023, 10.1109/JIOT.2023.3247452       Article

Recent Advances in Computer Vision: Applications and Implementation (RACVAI-2024) Computer Science and Engineering (Short-term Course)
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}
  • CS2011 : Introduction to AI and ML {Theory}
  • CS2062 : Database Management Systems {Theory}
  • CS3004 : Software Engineering {Theory}
  • CS6315 : Data Science {Theory}
  • CS1010 : Programming for Problem Solving {Practical}
  • CS2072 : Database Engineering Laboratory {Practical}
  • CS2672 : AI and ML Laboratory {Practical}
  • CS3071 : Operating Systems Laboratory {Practical}
  • CS3074 : Software Engineering Laboratory {Practical}
  • CS6385 : Data Science Laboratory {Practical}

Ph.D. Students [3]
On Generalization and Robustness of Neural Networks
Rahul Mondal
Enrolled:
Graduated :  2025
Co-Supervisors
Machine Learning and Deep Learning
Mousumi Behera
Enrolled: Jul 2024
Continuing
Supervisor
Machine Learning, Data Mining, Deep Learning
Shashwat Kumar Panigrahi
Enrolled: Jul 2024
Continuing
Co-Supervisor
Executive Ph.D. Students [1]
Intelligent Machine Learning Applications
Saswati Naskar
Enrolled: Jul 2024
Continuing
Supervisor