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
Google Scholar ID

BIOGRAPHY

Anup Nandy is currently with the Department of Computer Science and Engineering, National Institute of Technology Rourkela, India. He serves as Professor-In-Charge in Centre for Industrial Automation and Robotics at National Institute of Technology Rourkela. He also serves as member of Intellectual Property and Innovation Centre (IPIC) at National Institute of Technology Rourkela. His area of interest includes Artificial Intelligence in Healthcare Applications, Computing Human Cognition with EEG signal analysis, Human Robot Interaction with Gesture, Speech and Emotion and Human Gait Analysis with Deep Learning Techniques. He received an Early Career Research Award (ECRA) from SERB, Govt. of India in the year 2017. He received the prestigious NVIDIA GPU GRANT AWARD in the year 2018 for his research on Deep Learning techniques in Healthcare Applications. He was selected as Indian Young Scientist in the thematic area of Artificial Intelligence to participate in 5th BRICS Conclave 2020 held at Chelyabinsk, Russia from Sept 21- 25, 2020 (virtual mode). Further, He is a recipient of prestigious JSPS Fellowship from The Govt. of Japan in the year 2022. Among many, he has completed two bilateral projects funded by DST-JSPS (Japan) and DST-Ministry of Science and ICT of the Republic of Korea in joint collaboration with Tokyo University of Agriculture and Technology (TUAT) and Seoul National University in the year 2019 and 2024 respectively. He is a senior member of IEEE. He has published a good number of research publications in reputed conferences and journals namely, IEEE Transactions on Neural Systems and Rehabilitation Engineering and IEEE Transactions on Cognitive and Developmental Systems.

EXPERTISE INFORMATION

Research Group
  • Intelligent Computing and Computer Vision
Areas of Interest
  • Machine Learning, Artificial Intelligence, Computing Human Cognition and Robotics

Anup Nandy Associate Professor

Computer Science and Engineering

nandya@nitrkl.ac.in

0661 - 246 2370

Biosketch

59

PUBLICATIONS

7

SPONSORED PROJECTS

11

DOCTORAL STUDENTS

15

CONTINUING EDUCATION

PERSONAL INFORMATION

Anup Nandy

Associate Professor

Computer Science and Engineering

Room Number: CS-118

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

Ph.D. (IIIT-Allahabad), M.Tech (IIIT-Allahabad)

Development of Artificial Intelligence-based Assistive Tool for Assessment of Orthotic Devices DRDO
  • Principal Investigator
  • 24
  • Running   Sponsored
Robot-Assited automated and behavioral inventions system for children with autism spectrum disorder. Science & Engineering Research Board(SERB)
  • Principal Investigator
  • 36
  • Running   Sponsored
Integrated Information System for Agriculture Monitoring and Crop Insurance. ISRO
  • Co-Investigator
  • 24
  • Completed   Sponsored
Digital mental healthcare for older adults via visually-induced Hippocampal Activation Therapy. DST
  • Principal Investigator
  • 36
  • Completed   Sponsored
Design and development of E-learning platform for assisting underprivileged (SC/ST) school students in Rourkela Region, Odisha by converging cable TV Network and Broadband Technology. Meity
  • Co-Investigator
  • 36
  • Completed   Sponsored
Human cognitive state estimation through multi model gait Analysis SERB
  • Principal Investigator
  • 36
  • Completed   Sponsored
Development of a pathological health care system for early detection of neurological gait abnormalities DST
  • Principal Investigator
  • 24
  • Completed   Sponsored

8
GOOGLE SCHOLAR H-INDEX 7
GOOGLE SCHOLAR I10-INDEX 0
SCOPUS H-INDEX
Total Publications: 59
View All Publications

A. Nandy,"Statistical methods for analysis of Parkinson’s disease gait pattern and classification", Multimedia Tools and Applications, vol.78, no.14, pp.19697–19734, Springer, July 2019, 10.1007/s11042-019-7310-4       Article

J. Chakraborty and A. Nandy,"Periodicity detection of quasi-periodic slow-speed gait signal using IMU sensor", in Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. Human Body and Motion, vol.11581, pp.140-152, Springer, lecture notes in computer science, Orlando, FL, USA, 2019, 10.1007/978-3-030-22216-1_11       Inproceedings

S. Dutta, S. Hazra, and A. Nandy,"Human cognitive state classification through ambulatory EEG signal analysis", in Artificial Intelligence and Soft Computing, vol.11509, pp.169-181, Springer, lecture notes in computer science, May 2019, 10.1007/978-3-030-20915-5_16       Inproceedings

A. Nandy and S. Chakraborty,"Comparison of local dynamic stability of treadmill gait data in three different planes through maximal lyapunov exponent", in International Conference on Computing, Power and Communication Technologies (GUCON), pp.96-100, IEEE, Greater Noida, Uttar Pradesh, India, India, December 2018, 10.1109/GUCON.2018.8674921       Inproceedings

S. Chattopadhyay and A. Nandy,"Human gait modelling using hidden markov model for abnormality detection", in TENCON 2018 - 2018 IEEE Region 10 Conference, pp.0623-0628, IEEE, Jeju, Korea (South), Korea (South), October 2018, 10.1109/TENCON.2018.8650194       Inproceedings

Advancing Medical Applications with Generative AI: Challenges and Prospects (AMAGA-2025) Computer Science and Engineering (Workshop)
National Workshop on ARTIFICIAL INTELLIGENCE & MACHINE LEARNING: Theory & Hands-on Practice (AIML- 2024) Computer Science and Engineering (Workshop)
Three Days Workshop on Artificial Intelligence in Robotics Applications Computer Science and Engineering (Workshop)
Short Term Course on MACHINE LEARNING & ITS APPLICATIONS (ML- APP 2024) Computer Science and Engineering (Short-term Course)
UNLOCKING INNOVATION:IPR AWARENESS, STRATEGIES AND CHALLENGES Intellectual Property Innovation Centre (Workshop)
Skill Development Programme on ARTIFICIAL INTELLIGENCE & MACHINE LEARNING (AIML- 2023) Computer Science and Engineering (Short-term Course)
Artificial Intelligence and Robotics Computer Science and Engineering (Short-term Course)
Artificial Intelligence based real-time Gesture Recognition system for control of smart electronic equipments Computer Science and Engineering (Short-term Course)
  • Co-Coordinator
  • 01 Jun 2023 - 30 Jul 2023
  • Brochure
G20 Jan Bhagidari Workshop on AI and Robotics Computer Science and Engineering (Workshop)
G20 Jan Bhagidari Workshop on Coding Hackathon Computer Science and Engineering (Workshop)
INTELLECTUAL PROPERTY RIGHTS:AWARENESS AND CHALLENGES (IPRAC-2022) Computer Science and Engineering (Workshop)
  • Co-Coordinator
  • 06 Nov 2022 - 07 Nov 2022
  • Brochure
Conference Return Seminar on "An Effective Similarity Measure for Improving Performance of User based Collaborative Filtering" Computer Science and Engineering (Short-term Course)
Python Programming with Industry Perspective Computer Science and Engineering (Workshop)
  • Co-Coordinator
  • 02 Dec 2019 - 06 Dec 2019
  • Brochure
GIAN Course on Innovative Principles of Gait Training: Neuroplasticity Principles, Biomechanics, and Computational Methods Computer Science and Engineering (Short-term Course)
NATIONAL WORKSHOP ON MOTION UNDERSTANDING FOR MEDICAL APPLICATIONS (MUMApp - 2017) Computer Science and Engineering (Workshop)

  • CS102 : Data Structures and Algorithms {Theory}
  • CS2003 : Discrete Structures {Theory}
  • CS2005 : Data Structures and Algorithms {Theory}
  • CS2011 : Introduction to AI and ML {Theory}
  • CS213 : Principles of Programming Languages {Theory}
  • CS315 : Optimization Techniques {Theory}
  • CS3306 : Machine Learning {Theory}
  • CS331 : Theory of Computation {Theory}
  • CS435 : Artificial Intelligence {Theory}
  • CS437 : Soft Computing {Theory}
  • CS443 : Embedded Systems {Theory}
  • CS6218 : Machine Learning {Theory}
  • CS6412 : Artificial Intelligence {Theory}
  • CS6592 : Applied Deep Learning {Theory}
  • CS708 : Machine Learning {Theory}
  • CS1000 : Basic Programming {Practical}
  • CS171 : Computing Laboratory - I {Practical}
  • CS172 : Computing Laboratory – II {Practical}
  • CS2071 : Data Structure and Algorithms Laboratory {Practical}
  • CS2672 : AI and ML Laboratory {Practical}
  • CS368 : Product Development Laboratory – II {Practical}
  • CS4373 : Artificial Intelligence Laboratory {Practical}
  • CS477 : Soft Computing Laboratory {Practical}
  • CS483 : Advanced Data Structure Laboratory {Practical}
  • CS485 : Artificial Intelligence Laboratory {Practical}
  • CS6272 : Machine Learning Laboratory {Practical}
  • CS6475 : Soft Computing Laboratory {Practical}
  • CS6594 : Applied Deep Learning Laboratory {Practical}
  • CS700 : Optimization Techniques Laboratory {Practical}
  • CS776 : Machine Learning Laboratory {Practical}

Ph.D. Students [9]
Vehicular Mobility Analysis Leveraging Historical Spatio-Temporal Data
Sumanto Dutta
Enrolled: Jul 2019
Graduated :  Jan 2024
Co-Supervisor
Human Robot Interaction with Motion-based Imitation Mechanism
Archana Balmik
Enrolled: Jul 2018
Graduated :  Jul 2024
Supervisor
Cognitive State Classification using Multi-modal Features
Sumit Hazra
Enrolled: Jan 2018
Graduated :  Feb 2023
Supervisor
Quantitative Analysis of Gait Disorder using Machine Learning Techniques
Jayeeta Chakraborty
Enrolled: Jul 2017
Graduated :  Oct 2022
Supervisor
Effective Clinical Gait Analysis using Supervised Learning Techniques
Saikat Chakraborty
Enrolled: Jul 2016
Graduated :  Nov 2021
Supervisor
Gait Analysis
Arupananda Sahoo
Enrolled: Jul 2024
Continuing
Supervisor
Robotics & AI
Prapti Barman
Enrolled: Jan 2024
Continuing
Supervisor
Robotics and Artificial Intelligence
Sougatamoy Biswas
Enrolled: May 2022
Continuing
Supervisor
Cognitive Science and Machine Learning
Monalisha Mahapatra
Enrolled: Aug 2021
Continuing
Supervisor
Executive Ph.D. Students [2]
Recommender System and Machine Learning
Ashok Kote
Enrolled: Oct 2020
Continuing
Supervisor
Human Emotion Recognition using EEG Signal
Venkata Gayathri Ganivada
Enrolled: Sep 2020
Continuing
Supervisor

Awards And Honours
  • Received the prestigious JSPS Invitational Fellowship from the Govt. of Japan,   2022
  • Selected as Young Indian Scientist to participate in 5th BRICS conclave in thematic area of Artificial Intelligence,   2020
  • Received NVIDIA GPU Research Grant Award,   2018
  • Received Early Career Research Award from SERB, DST, Govt. of India,   2017
  • Nominated for MHRD External Fellowship (Japanese Government Scholarship: MEXT-2011).,   2011
  • Received MHRD Fellowship for Ph.D (November 2011- June 2015),   2011
  • Received MHRD Fellowship for M.Tech (July 2008- June 2010),   2008
Memberships / Fellowships
  • IEEE Senior Member with membership Id:92653123,   2022