Dr. Ghanapriya Singh

Designation:    Assistant Professor
Department:    Electronics & Communication Engg
Qualification:    Ph. D. (IIT Delhi), M.Tech (NSUT)
Address:    
Publications:    
Email:    ghanapriya@nitkkr.ac.in
Phone No:    +91 9068289740
Area of Interest:    

Ambient Intelligence, Image processing, Bio-Medical Signal Processing, Speech Processing, Signal Processing for IoT and Applied Machine Learning.

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BIOGRAPHY

Dr. Ghanapriya Singh is an accomplished academic, researcher, inventor, and technology leader, currently serving as Assistant Professor (Grade I) in the Department of Electronics and Communication Engineering at National Institute of Technology (NIT), Kurukshetra. She has over 15 years of academic and research experience, including her earlier tenure at NIT Uttarakhand. She received her Ph.D. in Signal Processing from IIT Delhi, where she conducted research in collaboration with STMicroelectronics, Santa Clara, California, USA. Her research work was showcased at CES, USA, one of the world’s leading technology exhibitions, highlighting its strong industry and translational relevance. Dr. Singh is an accomplished inventor with five granted US patents and one European patent, along with a recently filed Indian patent. She has been involved in multiple sponsored research projects funded by MeitY, DST, ANRF, ISRO, and other national agencies, with a cumulative research funding portfolio of approximately ₹1.83 crore. She has published in high-impact SCI-indexed international journals. Her research interests encompass Artificial Intelligence, Edge AI, Computer Vision, Biomedical Signal Processing, Context-Aware Computing, IoT, Deepfakes, Explainable AI, Federated Learning, and intelligent healthcare systems. She has also demonstrated academic leadership through the organization of international IEEE and Springer conferences and various scholarly initiatives. Her profile reflects a strong combination of research excellence, innovation, intellectual property, industry collaboration, sponsored funding, and academic leadership, with a vision to translate emerging technologies into impactful real-world solutions.

EXPERIENCE

  • Assistant Professor (Grade-I) in the Department of Electronics and Communication Engineering, National Institute of Technology Kurukshetra (Haryana), India (since 22 November 2022 – Till Date)
  • Assistant Professor (Grade-II) in the Department of Electronics Engineering, National Institute of Technology Uttarakhand, Srinagar Garhwal (U.K.), India (12 July 2013 – 21 November 2022)

EDUCATION

  • Ph. D. from Indian Institute of Technology (IIT) Delhi (2018)
  • M. Tech. in Signal Processing from University of Delhi (2013)

SPONSORED RESEARCH PROJECTS (04)

  • Principal Investigator (PI) in a sponsored research project entitled, “IoT- based Multifunctional Scalable Real Time Farm Monitoring System for Smart Agriculture,” funded by IIT Ropar- Technology and Innovative Foundation for Agriculture and Water Technology Development Hub (AWaDH), Department of Science and Technology (DST), (amount: Rs. 16,93,760).
  • Principal Investigator (PI) in a sponsored research project entitled, “AI-Based Emotion and Stress Classification from Wearable Physiological Signals for Astronaut Health Monitoring,” funded by Indian Space Research Organisation, File No. RAC-S/NITKKR/2026
  • Other Investigator in a sponsored research project entitled, “SPECIAL MANPOWER DEVELOPMENT PROGRAM FOR CHIP TO SYSTEM DESIGN (SMDP – C2SD) Sanction No. and Date :(1)/2014-MDD, Dated:15.12.2014,” funded by Ministry of Electronics and Information Technology (MeitY), (amount: Rs. 1,24,60,000).
  • Lead Co-Principal Investigator (Lead Co-PI) in a sponsored research project entitled, “Development of Explainable AI model for deep learning algorithms to classify bacterial samples as resistant or susceptible based on Raman spectral data.” File No. ANRF/PAIR/2025/000018/PAIR – A, funded under the Anusandhan National Research Foundation-Partnerships for Accelerated Innovation and Research ( ANRF PAIR) Grant Scheme, GoI.

COLLABORATIVE RESEARCH PROJECTS (03)

  • Contributed in a sponsored research project titled “Probabilistic framework for deriving context awareness of mobile or wearable device user” funded by STMicroelectronics Inc, Santa Clara, CA, USA at IIT Delhi between 2014-2018.
  • Contributed in a sponsored research project titled “A signal processing algorithm for passive detection of open space or enclosed spatial environment” funded by STMicroelectronics Inc, Santa Clara, CA, USA at IIT Delhi between 2018-2020.
  • Contributed in a research project titled “Deep learning model based computer vision based rehabilitation exercises” with Institute of Technology, Gopeshwar, Uttarakhand(2020-23).

PATENTS (5-GRANTED,1 PUBLISHED)

  1. Mahesh Chowdhary, Arun Kumar, Ghanapriya Singh, Kashif R. J. Meer, Indra Narayan Kar, RajendarBahl, “Method and apparatus for determining probabilistic context awareness of a mobile device using a single sensor and/or multi-sensor data fusion,” US Patent 9870535, Date of Patent Filing: 18th March 2016, Date of Patent Grant: 16th Jan 2018
  2. Mahesh Chowdhary, Arun Kumar, Ghanapriya Singh, Kashif R. J. Meer, Indra Narayan Kar, RajendarBahl, “Method and apparatus for energy efficient probabilistic context awareness of a mobile or wearable device user by switching between a single sensor and multiple sensors,” US Patent 10748075, Date of Patent Filing: 21st October 2016; Date of Patent Grant: 18th August 2020
  3. Mahesh Chowdhary, Arun Kumar, Ghanapriya Singh, Rajendar Bahl, “Method for generating a personalized classifier for human motion activities of a mobile or wearable device user with unsupervised learning,” US Patent 10588517, Date of Patent Filing: 19th May 2017, Date of Patent Grant: 17th March 2020
  4. Mahesh Chowdhary, Arun Kumar, Ghanapriya Singh, Rajendar Bahl, “Context awareness of a smart device through sensing transient and continuous signals,” US Patent No. US10976337B2Date of Patent Filing:25th January 2018, Date of Patent Publication: 25th July 2019, Date of Patent Grant: 13th April 2021.
  5. Mahesh Chowdhary, Arun Kumar, Ghanapriya Singh, Rajendar Bahl, “Open vs. enclosed spatial environment classification for a mobile or wearable device using microphone and deep learning method,” —US Patent US10943602B2, Date of Patent Filing:26th Nov 2019, Date of Patent Publication: 9th July 2020, Date of Patent Grant: 2021.03.09 — European Patent Application no. EP3678136A1, Date of Patent Filing: 23th December 2019, Date of Patent Publication: 8th July 2020.
  6. Pratishtha Verma, Aman Kumar Yadav, Ghanapriya Singh, Roshan Singh Bahl an invention titled “SYSTEMS AND METHODS FOR DETECTING MANIPULATED SEGMENTS WITHIN A VIDEO SEQUENCE” application number as 202511056947 Date of Patent Filing:13th June 2025, Date of Publication: July 18, 2025 in Patent Office Journal No. 29/2025.

 

TOP 10 BEST JOURNALS/CONF/BOOK CHAPTER  (TOTAL 46)

  1. Tanwar, Ritu, Ghanapriya Singh, and Pankaj Kumar Pal. “A hybrid transposed attention based deep learning model for wearable and explainable stress recognition.” Computers and Electrical Engineering 119 (2024): 109551. (SCI Indexed, IF – 4.3)
  2. Tanwar, Ritu, Orchid Chetia Phukan, Ghanapriya Singh, Pankaj Kumar Pal, and Sanju Tiwari. “Attention based hybrid deep learning model for wearable based stress recognition.” Engineering Applications of Artificial Intelligence 127 (2024): 107391. (SCI Indexed, IF – 8.0)
  3. Semwal, Vijay Bhaskar, Youngshik Kim, Vishwanath Bijalwan, Astha Verma, Ghanapriya Singh. “Development of the LSTM Model and Universal Polynomial Equation for all the Sub-phases of Human Gait.” IEEE Sensors Journal (2023). (SCI Indexed, IF – 4.3)
  4. Ghanapriya Singh, Orchid Chetia Phukan, Ravinder Kumar. “Stress recognition with multi-modal sensing using bootstrapped ensemble deep learning model” Expert Systems (2023). DOI https://doi.org/10.1111/exsy.13239 (SCI Indexed, IF-2.857)
  5. Kaloni, Smita, , Prashant Tiwari and Ghanapriya Singh“User-defined high impulsive frequency acquisition model for mechanical damage identification.” Proceedings of the Institution of Mechanical Engineers, Part K: Journal of Multi-body Dynamics, (2023). DOI 1177/14644193231157176. (SCI Indexed, IF – 1.992)
  6. Kaloni, Smita, Ghanapriya Singh, and Prashant Tiwari. “Nonparametric damage detection and localization model of framed civil structure based on local gravitation clustering analysis.” Journal of Building Engineering 44 (2021): 103339.(SCI Indexed, IF – 7.114)
  7. Vishwanath Bijalwan, Vijay Bhaskar Semwal, Ghanapriya Singh, Tapan Kumar Mandal. ” HDL-PSR: Modelling Spatio-Temporal Features Using Hybrid Deep Learning Approach for Post-Stroke Rehabilitation.” Neural processing lettersAccepted on 27 December 2021. DOI 1007/s11063-022-10744-6 (SCI Indexed, IF-2.908)
  8. Bijalwan, Vishwanath, Vijay Bhaskar Semwal, Ghanapriya Singh, and Ruben Gonzalez Crespo. “Heterogeneous computing model for post‐injury walking pattern restoration and postural stability rehabilitation exercise recognition.” Expert Systems (2021): e12706. (SCI Indexed, IF-2.857)
  9. Ghanapriya Singh, Mahesh Chowdhary, Arun Kumar, and RajendarBahl. “A Personalized Classifier for Human Motion Activities With Semi-Supervised Learning.” IEEE Transactions on Consumer Electronics66, no. 4 (2020): 346-355. (SCI Indexed, IF-2.947)
  10. Agarwal, Nidhi, Akanksha Sondhi, Khyati Chopra, and Ghanapriya Singh. “Transfer learning: Survey and classification.” In Smart Innovations in Communication and Computational Sciences, pp. 145-155. Springer, Singapore, 2021.

Administrative Post (at NIT Kurukshetra)

  1. FiC Mechatronics Lab, Siemens Centre of Excellence (SCOE).
  2. Warden of Girl’s Hostel, NIT Kurukshetra.
  3. FiC Website (ECE)
  4. FiC of IIoT lab
  5. FiC Advanced Analog Lab
  6. FiC Industrial Visit
Others: