nandya

Academic Identity

Orcid Id

Scopus Id

Researcher Id

Google Scholar Id

9bnp0PQAAAAJ&hl

Anup Nandy

Assistant Professor Grade-I

Computer Science and Engineering

(+91) 661 246 2370

nandya[at]nitrkl.ac.in

Biosketch

51

Publications

6

0

Consultancy Projects

9

Doctoral Students

10

Continuing Education

20

PG Dissertation

Personal Information

Prof. Anup Nandy

Assistant Professor Grade-I

Computer Science and Engineering

Joined in Jul 2015

Room Number: CS-118

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

Education Qualification

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

Experience

No Experience Found....

Expertise Information

Research Group

Intelligent Computing and Computer Vision

Areas of Interest

Machine Learning, Artificial Intelligence, Robotics, Human Cognitive Modeling.

Projects

Robot-Assited automated and behavioral inventions system for children with autism spectrum disorder.

Science & Engineering Research Board(SERB)

Principal Investigator

36 months

Running

Sponsored

Integrated Information System for Agriculture Monitoring and Crop Insurance.

ISRO

Co-Investigator

24 months

Running

Sponsored

Digital mental healthcare for older adults via visually-induced Hippocampal Activation Therapy.

DST

Principal Investigator

36 months

Running

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 months

Completed

Sponsored

Human cognitive state estimation through multi model gait Analysis

SERB

Principal Investigator

36 months

Completed

Sponsored

Development of a pathological health care system for early detection of neurological gait abnormalities

DST

Principal Investigator

24 months

Completed

Sponsored

Continuing Education

Skill Development Programme on ARTIFICIAL INTELLIGENCE & MACHINE LEARNING (AIML- 2023)

Computer Science and Engineering

Coordinator

09 Oct 2023 - 14 Oct 2023

Brochure

Short-term Course

Artificial Intelligence and Robotics

Computer Science and Engineering

Coordinator

01 Jun 2023 - 30 Jul 2023

Brochure

Short-term Course

Artificial Intelligence based real-time Gesture Recognition system for control of smart electronic equipments

Computer Science and Engineering

Coordinator

01 Jun 2023 - 30 Jul 2023

Brochure

Short-term Course

Conference Return Seminar on "An Effective Similarity Measure for Improving Performance of User based Collaborative Filtering"

Computer Science and Engineering

Coordinator

22 Jul 2021

Brochure

Short-term Course

GIAN Course on Innovative Principles of Gait Training: Neuroplasticity Principles, Biomechanics, and Computational Methods

Computer Science and Engineering

Coordinator

26 Dec 2017 - 30 Dec 2017

Brochure

Short-term Course

G20 Jan Bhagidari Workshop on AI and Robotics

Computer Science and Engineering

Coordinator

18 Apr 2023

Brochure

Workshop

G20 Jan Bhagidari Workshop on Coding Hackathon

Computer Science and Engineering

Coordinator

17 Apr 2023

Brochure

Workshop

INTELLECTUAL PROPERTY RIGHTS:AWARENESS AND CHALLENGES (IPRAC-2022)

Computer Science and Engineering

Coordinator

06 Nov 2022 - 07 Nov 2022

Brochure

Workshop

Python Programming with Industry Perspective

Computer Science and Engineering

Coordinator

02 Dec 2019 - 06 Dec 2019

Brochure

Workshop

NATIONAL WORKSHOP ON MOTION UNDERSTANDING FOR MEDICAL APPLICATIONS (MUMApp - 2017)

Computer Science and Engineering

Coordinator

25 Aug 2017 - 29 Aug 2017

Brochure

Workshop

Publications

8

Google Scholar h-index

7

Google Scholar i10-index

Scopus h-index

Total Publications: 51

S. Bharti, A. Balmik, and A. Nandy, "Novel error correction-based key frame extraction technique for dynamic hand gesture recognition", Neural Computing and Applications, Springer, June 2023 Article

A. Balmik, S. Barik, and A. Nandy, "A robust object recognition using modified YOLOv5 neural network", in 10th International Conference on Signal Processing and Integrated Networks (SPIN), pp.462-467, IEEE, March 2023, 10.1109/SPIN57001.2023.10116938 Inproceedings

A. Balmik, S. Barik, M. Jha, and A. Nandy, "A vision-based litter detection and classification using SSD MobileNetv2", in 10th International Conference on Signal Processing and Integrated Networks (SPIN), pp.180-185, IEEE, March 2023, 10.1109/SPIN57001.2023.10116919 Inproceedings

S. Chakraborty, S. Sambhavi, P. Panda, and A. Nandy, "An ensemble model for gait classification in children and adolescent with cerebral palsy: a low-cost approach", in Soft Computing for Problem Solving: Proceedings of the SocProS 2022, no.73–83, Springer, March 2023, 10.1007/978-981-19-6525-8_7 Inproceedings

M. Mahapatra, M. A. Barbhuiya, and A. Nandy, "Autoencoder-based deep neural architecture for epileptic seizures classification", in Soft Computing for Problem Solving, vol.547, pp.109–119, Springer, lecture notes in networks and systems, March 2023, 10.1007/978-981-19-6525-8_10 Inproceedings

Show All Publications(+)

S. Hazra, A. A. Pratap, and A. Nandy, "A novel probabilistic network model for estimating cognitive-gait connection using multi-modal interface", IEEE Transactions on Cognitive and Developmental Systems, IEEE, November 2022, 10.1109/TCDS.2022.3222087 Article

J. Chakraborty, S. Upadhyay, and A. Nandy, "Musculoskeletal Injury Recovery Assessment using Gait Analysis with Ground Reaction Force Sensor", Medical Engineering & Physics, vol.103, pp.103788, Elsevier, May 2022, 10.1016/j.medengphy.2022.103788 Article

S. Chakraborty, S. Sambhavi, and A. Nandy, "Deep Learning in Gait Abnormality Detection: Principles and Illustrations", Bioinformatics and Medical Applications: Big Data Using Deep Learning Algorithms, ch.4, pp.63-72, John Wiley & Sons, Inc., March 2022, 10.1002/9781119792673.ch4 Inbook

A. Balmik, A. Paikaray, M. Jha, and A. Nandy, "Motion recognition using deep convolutional neural network for Kinect-based NAO teleoperation", Robotica, pp.1-21, Cambridge University Press, February 2022, 10.1017/S0263574722000169 Article

M. Pisipati and A. Nandy, "Human Emotion Recognition using EEG Signal in Music Listening", in 2021 IEEE 18th India Council International Conference (INDICON), pp.1-6, IEEE, December 2021, 10.1109/INDICON52576.2021.9691724 Inproceedings

J. Chakraborty, D. H. Santosh, and A. Nandy, "Speed Invariant Gait Event Identification using Dynamic Time Warping", in 2021 IEEE 18th India Council International Conference (INDICON), pp.1-6, IEEE, December 2021, 10.1109/INDICON52576.2021.9691550 Inproceedings

A. Balmik, A. Kumar, and A. Nandy, "Efficient Face Recognition System for Education Sectors in COVID-19 Pandemic", in 2021 12th International Conference on Computing Communication and Networking Technologies (ICCCNT), pp.1-8, IEEE, November 2021, 10.1109/ICCCNT51525.2021.9579523 Inproceedings

A. Balmik, M. Jha, and A. Nandy, "NAO Robot Teleoperation with Human Motion Recognition", Arabian Journal for Science and Engineering, vol.47, pp.1137–1146, Springer, September 2021, 10.1007/s13369-021-06051-2 Article

A. Nandy, S. Chakraborty, J. Chakraborty, and G. Venture, "Modern Methods for Affordable Clinical Gait Analysis: Theories and Applications in Healthcare Systems", Academic Press, July 2021 Book

S. Hazra, S. Dutta, and A. Nandy, "A study on understanding cognitive states through gait analysis", Cognitive Systems Research, vol.69, pp.41-49, Elsevier 2021, 10.1016/j.cogsys.2021.05.002 Article

S. Jain and A. Nandy, "Human Gait Abnormality Detection Using Low Cost Sensor Technology", in Computer Vision and Image Processing, Springer, Singapore 2021, 10.1007/978-981-16-1092-9_28 Inproceedings

S. Hazra, A. A. Pratap, D. Tripathy, and A. Nandy, "Novel data fusion strategy for human gait analysis using multiple kinect sensors", Biomedical Signal Processing and Control, vol.67, Elsevier 2021, 10.1016/j.bspc.2021.102512 Article

S. Hazra, A. A. Pratap, O. Agrawal, and A. Nandy, "On effective cognitive state classification using novel feature extraction strategies", Cognitive Neurodynamics, vol.15, no.1125-1155, pp.6, Springer 2021, 10.1007/s11571-021-09688-9 Article

A. Tarun and A. Nandy, "Human Gait Classification Using Deep Learning Approaches", in Proceedings of International Conference on Computational Intelligence and Data Engineering, pp.185-199, Springer, Singapore, December 2020, 10.1007/978-981-15-8767-2_17 Inproceedings

S. Chakraborty and A. Nandy, "Automatic Diagnosis of Cerebral Palsy Gait Using Computational Intelligence Techniques: A Low-Cost Multi-Sensor Approach", IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol.28, no.11, pp.2488-2496, IEEE, October 2020, 10.1109/TNSRE.2020.3028203 Article

G. Kumari, J. Chakraborty, and A. Nandy, "Effect of Reduced Dimensionality on Deep learning for Human Activity Recognition", in 2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT), pp.1-7, IEEE, October 2020, 10.1109/ICCCNT49239.2020.9225419 Inproceedings

J. Chakraborty and A. Nandy, "Discrete wavelet transform based data representation in deep neural network for gait abnormality detection", Biomedical Signal Processing and Control, vol.62, Elsevier, September 2020, 10.1016/j.bspc.2020.102076 Article

S. Hazra, P. Roy, A. Nandy, and R. Scherer, "A pilot study for investigating gait signatures in multi-scenario applications", in International Joint Conference on Neural Networks (IJCNN), pp.1-10, IEEE, July 2020, 10.1109/IJCNN48605.2020.9207632 Inproceedings

S. Chakraborty, A. Nandy, T. Yamaguchi, V. Bonnet, and G. Venture, "Accuracy of image data stream of a markerless motion capture system in determining the local dynamic stability and joint kinematics of human gait", Journal of Biomechanics, vol.104, no.109718, Elseiver, May 2020, 10.1016/j.jbiomech.2020.109718 Article

S. Chakraborty, A. Nandy, T. Yamaguchi, V. Bonnet, and G. Venture, "Reply to Dr. Sina Mehdizadeh", Journal of Biomechanics, vol.105, no.109812, Elseiver, May 2020, 10.1016/j.jbiomech.2020.109812 Article

S. Chakraborty, S. Jain, A. Nandy, and G. Venture, "Pathological gait detection based on multiple regression models using unobtrusive sensing technology", Journal of Signal Processing Systems, pp.1-10, Springer, April 2020, 10.1007/s11265-020-01534-1 Article

S. Chakraborty, A. Nandy, T. Suzuki, and G. Venture, "Gait abnormality detection using deep convolution network", Handbook of Research on Engineering, Business and Healthcare Applications of Data Science and Analytics, ch.na, pp.1-9, IGI Global, March 2020 Inbook

S. Chakraborty, A. Nandy, and T. M. Kesar, "Gait deficits and dynamic stability in children and adolescents with cerebral palsy: A systematic review and meta-analysis", Clinical Biomechanics, vol.71, pp.11-23, Elsevier, January 2020, 10.1016/j.clinbiomech.2019.09.005 Article

S. Chakraborty, R. Mishra, A. Dwivedi, T. Das, and A. Nandy, "A Low-Cost Pathological Gait Detection System in Multi-Kinect Environment", in 20th International Symposium on Optomechatronic Technologies (ISOT 2019), Springer, Cham 2020, 10.1007/978-981-15-6467-3 Inproceedings

S. Dutta, S. Hazra, and A. Nandy, "A Smart Ambulatory Cognitive State Taxonomy System Through EEG Signal Analysis", in 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT), pp.1-7, IEEE 2020, 10.1109/ICCCNT49239.2020.9225660. Inproceedings

S. Dutta and A. Nandy, "An Extensive Analysis on Deep Neural Architecture for Classification of Subject-Independent Cognitive States", in Proceedings of the 7th ACM IKDD CoDS and 25th COMAD, pp.180-184, ACM 2020, 10.1145/3371158.3371181 Inproceedings

S. Chakraborty and A. Nandy, "An Unsupervised Approach For Gait Phase Detection", in 4th International Conference on Computational Intelligence and Networks (CINE), pp.1-5, IEEE 2020, 10.1109/CINE48825.2020.234396 Inproceedings

S. Chakraborty, N. Thomas, and A. Nandy, "Gait Abnormality Detection in People with Cerebral Palsy Using an Uncertainty-Based State-Space Model", in International Conference on Computational Science, pp.536-549, Springer, Cham 2020, 10.1007/978-3-030-50423-6_40 Inproceedings

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

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

S. Dutta and A. Nandy, "Data Augmentation for Ambulatory EEG Based Cognitive State Taxonomy System with RNN-LSTM", in International Conference on Innovative Techniques and Applications of Artificial Intelligence, pp.468-473, Springer, Cham 2019, 10.1007/978-3-030-34885-4_38 Inproceedings

J. Chakraborty and A. Nandy, "Periodicity Detection of Quasi-periodic Slow-speed Gait Signal using IMU sensor", in International Conference on Human-Computer Interaction, pp.140-152, Springer, Cham 2019, 10.1007/978-3-030-22216-1_11 Inproceedings

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. Chakraborty, D. Mondal, and A. Nandy, "A study on human gait kinematic validation in multi-kinect v2 environment", in 15th IEEE India Council International Conference (INDICON 2018), IEEE, Coimbatore, India, December 2018 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

A. Nandy and P. Chakraborty, "A study on human gait dynamics: Modeling and simulations on OpenSim platform", Multimedia Tools and Applications, pp.1-36, Springer, October 2016, 10.1007/s11042-016-4033-7 Article

A. Nandy, R. Chakraborty, and P. Chakraborty, "Cloth invariant gait recognition using pooled segmented statistical features", Neurocomputing, vol.191, pp.117-140, Elsevier, May 2016, 10.1016/j.neucom.2016.01.002 Article

A. Nandy, A. Pathak, and P. Chakraborty, "A study on gait entropy image analysis for clothing invariant human identification", Multimedia Tools and Applications, pp.1-35, Springer, April 2016, 10.1007/s11042-016-3505-0 Article

A. Nandy and P. Chakraborty, "A new paradigm of human gait analysis with kinect", in 2015 Eighth International Conference on Contemporary Computing, pp.443-448, IEEE, Jaypee Institute of Information Technology, Noida, December 2015, 10.1109/IC3.2015.7346722 Inproceedings

A. Nandy, R. Chakraborty, P. Chakraborty, and G. C. Nandi, "A novel approach to human gait recognition using possible speed invariant features", Computational Intelligence Systems, vol.7, no.6, pp.1174-1193, Taylor & Francis, September 2014, 10.1080/18756891.2014.967004 Article

A. Nandy, A. Pathak, P. Chakraborty, and G. C. Nandi, "Gait identification using component based gait energy image analysis", in 2014 International Conference on Signal Propagation and Computer Technology (ICSPCT), pp.380-385, IEEE, Govt. Engineering College Ajmer,Rajasthan,Ajmer, India, July 2014, 10.1109/ICSPCT.2014.6885005 Inproceedings

A. Nandy, S. Bhowmick, P. Chakraborty, and G. C. Nandi, "Gait biometrics: An approach to speed invariant human gait analysis for person identification", in Intelligent Computing, Networking, and Informatics, vol.236, pp.729-737, Springer, advances in intelligent systems and computing (aisc), February 2014, 10.1007/978-81-322-1602-5_78 Inproceedings

S. Bhowmick, A. Nandy, P. Chakraborty, and G. C. Nandi, "A speed invariant human identification system using gait biometrics", Computational Vision and Robotics, vol.4, no.1-2, pp.3-22, Inderscience Publishers, January 2014, 10.1504/IJCVR.2014.059356 Article

A. Nandy, P. Chakraborty, and G. C. Nandi, "Person tracking and segmentation for human gait biometric system", Biometrics, vol.6, no.3, pp.205-230, Inderscience Publishers Ltd, January 2014, 10.1504/IJBM.2014.064399 Article

A. Nandy, S. Bhowmick, P. Chakraborty, and G. C. Nandi, "A sensor-based technique for speed invariant human gait classification", in Intelligent Computing, Networking, and Informatics, vol.243, pp.549-556, Springer, December 2013, 10.1007/978-81-322-1665-0_53 Inproceedings

Hide Publications (-)

Courses Taught

CS102 : Data Structures and Algorithms {Theory}
CS2003 : Discrete Structures {Theory}
CS2005 : Data Structures and Algorithms {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}
CS708 : Machine Learning {Theory}
CS1000 : Basic Programming {Practical}
CS1010 : Programming for Problem Solving {Practical}
CS171 : Computing Laboratory - I {Practical}
CS172 : Computing Laboratory – II {Practical}
CS2071 : Data Structure and Algorithms 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}
CS700 : Optimization Techniques Laboratory {Practical}
CS776 : Machine Learning Laboratory {Practical}

Research Scholars

Ph.D. Students [7]

Effective Clinical Gait Analysis using Supervised Learning Techniques

Saikat Chakraborty

Enrolled: Jul 2016

Graduated : Nov 2021

Supervisor

Quantitative Analysis of Gait Disorder using Machine Learning Techniques

Jayeeta Chakraborty

Enrolled: Jul 2017

Graduated : Oct 2022

Supervisor

Cognitive State Classification using Multi-modal Features

Sumit Hazra

Enrolled: Jan 2018

Graduated : Feb 2023

Supervisor

Vehicular Mobility Analysis Leveraging Historical Spatio-Temporal Data

Sumanto Dutta

Enrolled: Jul 2019

Thesis Submitted : Oct 2023

Co-Supervisor

Human-Robot Interaction

Archana Balmik

Enrolled: Jul 2018

Continuing

Supervisor

Cognitive Science and Machine Learning

Monalisha Mahapatra

Enrolled: Aug 2021

Continuing

Supervisor

Robotics and Artificial Intelligence

Sougatamoy Biswas

Enrolled: May 2022

Continuing

Supervisor

Executive Ph.D. Students [2]

Human Emotion Recognition using EEG Signal

Venkata Gayathri Ganivada

Continuing

Supervisor

Data Science

Ashok Kote

Continuing

Supervisor

Dissertations

PG Dissertation

Kaushik Pal (215CS4092), "Human Emotion Recognition Using Physiological Signals" - M.Tech. Supervisor 2016-17 Spring
Sagorica Pramanick (216CS4189), "Static and Dynamic Hand Gesture Recognition Technique using RGB-D Information" - M.Tech. Supervisor 2017-18 Spring
Sourav Chattopadhyay (216CS1136), "Human Gait Analysis using Hidden Markov Model Technique" - M.Tech. Supervisor 2017-18 Spring
Thorat Ninad Suresh (216CS4193), "Human Activity Recognition Using Deep Learning" - M.Tech. Supervisor 2017-18 Spring
Avinash Kumar Singh (217CS1100), "Real Time Sign Language Recognition Using Convolution Neural Network" - M.Tech. Supervisor 2018-19 Spring
Bhosale Yugandhara Shivaji (217CS1098), "Activity Classification using sEMG sensors" - M.Tech. Supervisor 2018-19 Spring
Sumanto Dutta (217CS1277), "Human Mental State Estimation And Classification Through Ambulatory EEG Signal Analysis" - M.Tech. Supervisor 2018-19 Spring
Abhishek Tarun (218CS2434), "Human Gait Classification Using Deep Learning Approaches." - M.Tech. Supervisor 2019-20 Spring
Girja Kumari (218CS1307), "Inertial Sensor Data based Human Activity Recognition" - M.Tech. Supervisor 2019-20 Spring
Noble Thomas (218CS1092), "Gait Event Detection Using Finite State Automata" - M.Tech. Supervisor 2019-20 Spring
Ashish Kumar (219CS3467), "Face Detection and Recognition System Using Deep Learning Techniques" - M.Tech. Supervisor 2020-21 Spring
Shashankesh Upadhyay (219CS1455), "Modelling Impaired Gait Patterns with Ground Reaction Force Sensors" - M.Tech. Supervisor 2020-21 Spring
Shivangi Gupta (219CS2457), "Prediction of Freezing of Gait in Parkinson's Disease Patients" - M.Tech. Supervisor 2020-21 Spring
Gaddam Saketh Reddy (220CS1031), "Human Motion Analysis Using Machine Learning Techniques" - M.Tech. Supervisor 2021-22 Spring
Sandip Kumar Munda (220CS1065), "Human Emotion Recognition using Deep Learning Techniques" - M.Tech. Supervisor 2021-22 Spring
Snehal Bharti (220CS1255), "Dynamic Hand Gesture Recognition using Deep Learning Techniques" - M.Tech. Supervisor 2021-22 Spring
Nitin Surendra Bagde (221CS1263), "Facial Expression Recognition using Deep Learning Neural Network" - M.Tech. Supervisor 2022-23 Spring
Sangramjit Chakraborty (221CS1265), "Stress Detection with Optimised EEG Feature Analysis" - M.Tech. Supervisor 2022-23 Spring
Sreemoyee Chakrabarti (221CS1264), "Clustering based Feature Selection for EEG Signal Classification" - M.Tech. Supervisor 2022-23 Spring
Sunanda (221CS1262), "Hand Gesture Recognition using Deep Learning Techniques" - M.Tech. Supervisor 2022-23 Spring

UG Dissertation

Kamal Kumar (112CS0157), "Feature Selection Techniques and Classification" - B.Tech. Supervisor 2015-16 Spring
Komal Avinash Sinha (113CS0184), "Sentiment Analysis using Machine Learning Techniques" - B.Tech. Supervisor 2016-17 Spring
Manisha Mallick (113CS0146), "Mood Detection Using Facial Expression Analysis" - B.Tech. Supervisor 2016-17 Spring
Sahiti Pendyala (113CS0164), "Gender Recognition by Speech Analysis" - B.Tech. Supervisor 2016-17 Spring
Shruti Rani (113CS0169), "Vocal Pattern Analysis to Detect Emotion Using Machine Learning Techniques" - B.Tech. Supervisor 2016-17 Spring
Vangipuram Sree Ranganath (113CS0186), "Restaurant Recommendation System" - B.Tech. Supervisor 2016-17 Spring
Amrita Tripathy (114CS0293), "Health Care System for Early Detection of Musculo Skeletal Diseases" - B.Tech. Supervisor 2017-18 Spring
Rajendra Varma Pusapati (114CS0378), "Human Cognitive Modeling for Brain Computer Interface" - B.Tech. Supervisor 2017-18 Spring
Sankalp Raj (114CS0631), "Gesture Based Imitation Learning" - B.Tech. Supervisor 2017-18 Spring
Shuvankar Mishra (114CS0110), "Gesture Based Imitation Learning" - B.Tech. Supervisor 2017-18 Spring
Chimakurthi Venkata Yaswanth (115CS0604), "Energy Efficient Resource Allocation in Cloud Computing" - B.Tech. Co-supervisor 2018-19 Spring
Dattatreya Tripathy (115CS0250), "Gait Abnormality Detection using Multi Kinect Fusion" - B.Tech. Supervisor 2018-19 Spring
Garlapati Snehitha (115CS0194), "Epilepsy Seizure Detection using EEG Signals" - B.Tech. Co-supervisor 2018-19 Spring
Ladi Pavan Kalyan (115CS0214), "Clinical GAIT Analysis - Abnormality Detection" - B.Tech. Supervisor 2018-19 Spring
Mandava Venkata Sai Desik (115CS0561), "Cost-Efficient Real Time Scheduling in Heterogeneous Clouds" - B.Tech. Co-supervisor 2018-19 Spring
Peravali Shashank Srivastava (115CS0245), "Drowsiness Detection" - B.Tech. Co-supervisor 2018-19 Spring
Sampoojya Choppalli (115CS0014), "Statistical Analysis of Human Gait Motion and EMG Signal Processing and Analysis for Identifying Human Walking Pattern for Healthy Individuals" - B.Tech. Supervisor 2018-19 Spring
Ujjal Kumar Das (115CS0206), "Comparative Analysis of Human Gait Classification using Wearable Sensor" - B.Tech. Supervisor 2018-19 Spring
Acharya Aditya Pratap (116CS0214), "Multi Modal Gait Analysis using Machine Learning Approaches" - B.Tech. Supervisor 2019-20 Spring
Akshita Teegalapally (116CS0241), "Classification of Cognitive States using Neural Network" - B.Tech. Supervisor 2019-20 Spring
Amrit Puhan (116CS0216), "Understanding Human Cognitive States for finding a relationship between Brain and Gait Signal" - B.Tech. Supervisor 2019-20 Spring
Dabbiru Harin Santosh (116CS0231), "Speed Invariant Gait Event Detection using Inertial Sensors" - B.Tech. Supervisor 2019-20 Spring
Prashansa Panda (116CS0209), "Diagnosis of gait abnormalities using machine learning techniques" - B.Tech. Supervisor 2019-20 Spring
Sruti Sambhavi (116CS0158), "Diagnosis of gait abnormalities using deep learning and machine learning techniques" - B.Tech. Supervisor 2019-20 Spring
Bijita Barua (117CS0188), "Real-Time Face Mask Detection Using MobileNetV2" - B.Tech. Supervisor 2020-21 Spring
Mrityunjay Jha (118CS0171), "Deep Learning Based Barcode Detection & Recognition" - B.Tech. Supervisor 2021-22 Spring
Pratik Priyadarsan (118CS0197), "Classification of Alzheimer’s Disease using Machine Learning and Deep Learning Techniques" - B.Tech. Supervisor 2021-22 Spring
Pratyush Mohanty (118CS0180), "Implementation of Hybridized Neural Network With Nature-Based Optimization For Solving Inverse Kinematics" - B.Tech. Supervisor 2021-22 Spring
Subhasish Barik (118CS0150), "Real - Time Trash Object Localization and Detection" - B.Tech. Supervisor 2021-22 Spring
Abdullah Al Noman (118CS0608), "Automated Framework for Heart Attack Diagnosis Using Supervised Learning Techniques" - B.Tech. Supervisor 2022 Summer
Amit Kumar Mallick (119CS0248), "An interface system for NAO robot programming in Choregraphe environment" - B.Tech. Supervisor 2022-23 Spring
Hewagamage Lakshitha Sheshan (119CS0167), "Deep Learning based Emotional Sentiment Analysis using EEG Signals" - B.Tech. Supervisor 2022-23 Spring
Kandana Arachchige Januka Shehan Fernando (119CS0120), "EEG Signal Analysis for Cognitive and Resting State Classifications Using Deep Learning Approach" - B.Tech. Supervisor 2022-23 Spring
Md Anik Islam (118CS0606), "Alcoholic State Detection using EEG Signals and Analysis" - B.Tech. Supervisor 2022-23 Spring
Sai Tharun Mokka (119CS0138), "A Novel Feature Selection Approach for Mental State Classification using EEG Signal Analysis." - B.Tech. Supervisor 2022-23 Spring
Soumya Kanta Das (119CS0117), "Human Gait Analysis - Prosthetic Prediction" - B.Tech. Supervisor 2022-23 Spring
Subrat Kumar Pradhan (119CS0550), "An Efficient Object Detection and Localization Framework using Modified YOLOv5" - B.Tech. Supervisor 2022-23 Spring
Utkarsh Singh (119CS0294), "Anomaly Detection in Vehicular GPS Trajectory Data" - B.Tech. Supervisor 2022-23 Spring
Kankanala Harish Reddy (712CS1142), "Prediction of Parkinson’s Disease through Classification of human gait pattern using Machine Learning Techniques" - B.Tech. M.Tech Dual Degree Supervisor 2016-17 Spring
Tarun Kedia (713CS1039), "Optimizing Neural Networks for Brain Data Classification" - B.Tech. M.Tech Dual Degree Supervisor 2017-18 Spring
Ramavath Sravan Kumar (714CS1041), "GESTURE RECOGNITION USING INDIAN SIGN LANGUAGE" - B.Tech. M.Tech Dual Degree Supervisor 2018-19 Spring
Shaili Jain (714CS1039), "Gait Abnormality Detection using Kinect Depth Information" - B.Tech. M.Tech Dual Degree Supervisor 2018-19 Spring
Rishav Kushwaha (715CS1121), "Predictive Model based Pathological Gait Analysis" - B.Tech. M.Tech Dual Degree Supervisor 2019-20 Spring
Manasa Pisipati (716CS2053), "Emotion Recognition using EEG Signals in Music-Listening" - B.Tech. M.Tech Dual Degree Supervisor 2020-21 Spring

Awards and Honours

Selected to receive prestigious JSPS Invitational Fellowship Award for short term visit to 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

Academic Identity

Orcid Id

Scopus Id

Researcher Id

Google Scholar Id

Anup Nandy

51

Publications

6

Sponsored Projects

0

Consultancy Projects

9

Doctoral Students

10

Continuing Education

20

PG Dissertation

Personal Information

Prof. Anup Nandy

Education Qualification

Experience

Expertise Information

Research Group

Areas of Interest

Projects

Continuing Education

Publications

8

Google Scholar h-index

7

Google Scholar i10-index

Scopus h-index

Total Publications: 51

Courses Taught

Research Scholars

Ph.D. Students [7]

Executive Ph.D. Students [2]

Dissertations

PG Dissertation

UG Dissertation

Awards and Honours

Awards and Honours

Memberships / Fellowships