Dr. Ghanapriya Singh

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

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

Others:   

BIOGRAPHY

Dr. Ghanapriya Singh is working as an Asst. Professor (Grade I) in Department of Electronics and Communication Engineering at National Institute of Technology, Kurukshetra since Nov 2022. Prior to this, she was working as an Asst. Professor (Grade II) in Department of Electronics Engineering at National Institute of Technology, Uttarakhand since 2013. She has received her Ph.D. degree in Signal Processing from Indian Institute of Technology (IIT) Delhi. During her research at IIT, she was working on a project with STMicroelectronics, Santa Clara, California, USA. Her research work done at IIT was also showcased at CES, USA that is the largest consumer electronics show. She is an Inventor on 5 granted US patents and a European patent. She is an Investigator in the project funded by Ministry of Electronics and Information Technology and Department of Science and Technology, Govt. of India. She has authored in high impact factor SCI indexed journals. Her current research interests include context awareness, image processing, speech processing, signal processing for IoT.

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 Netaji Subhas Institute of Technology, University of Delhi (2013)
  • B. E. in Electronics & Telecommunication Engg.

SPONSORED RESEARCH PROJECTS (02)

  • 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).
  • 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).

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. 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.

 

JOURNALS – 10

 

    1. Semwal, V.B., Kim, Y., Bijalwan, V., Verma, A., Ghanapriya Singh, Gaud, N., Baek, H. and Khan, A.M. “Development of the LSTM Model and Universal Polynomial Equation for all the Sub-phases of Human Gait.” IEEE Sensors Journal (2023). (SCI Indexed, IF – 4.325)
    2. Rinki Gupta, Ananya Shekhar Bhatnagar, Ghanapriya Singh. “A Weighted Deep Ensemble for Indian Sign Language Recognition.” IETE Journal of Research(2023): DOI https://doi.org/10.1080/03772063.2023.2175057. (SCI Indexed, IF – 1.877)
    3. 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)
    4. 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)
    5. 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)
    6. 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)
    7. 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)
    8. Kanagaraj, Nitin, David Hicks, Ayush Goyal, Sanju Tiwari, and Ghanapriya Singh. “Deep learning using computer vision in self driving cars for lane and traffic sign detection.” International Journal of System Assurance Engineering and Management(2021): 1-15. (Scopus Indexed)
    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. Ghanapriya Singh, Ratnesh Kumar Singh, Rajesh Saha, and NidhiAgarwal. “IWT Based Iris Recognition for Image Authentication.” Procedia Computer Science171 (2020). (Scopus Indexed)

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CONFERENCES (13)

  1. Pandit, Vishal, Smita Kaloni, Shagun Sharma, and Ghanapriya Singh. “Damage Identification in High-Rise Buildings Using Deep Learning Techniques.” In Proceedings of Data Analytics and Management, pp. 393-402. Springer, Singapore, 2022.
  2. Gupta, Rinki, and Ghanapriya Singh. “Binary Differential Evolution-Based Feature Selection for Hand Gesture Classification.” In Advances in Smart Communication and Imaging Systems, pp. 221-231. Springer, Singapore, 2021.
  3. Pandey, Shubha, Ritu Sharma, and Ghanapriya Singh. “Implementation of 5-Block Convolutional Neural Network (CNN) for Saliency Improvement on Flying Object Detection in Videos.” In 2020 3rd International Conference on Emerging Technologies in Computer Engineering: Machine Learning and Internet of Things (ICETCE), pp. 1-6. IEEE, 2020.
  4. Ghanapriya Singh, Mahesh Chowdhary, Arun Kumar, and Rajendar Bahl. “A Probabilistic Framework for Base Level Context Awareness of a Mobile or Wearable Device User.” In 2019 IEEE 8th Global Conference on Consumer Electronics (GCCE), pp. 217-218. IEEE, 2019.
  5. Agarwal, N., Akanksha Sondhi, and Ghanapriya Singh. “State Estimation of a Quantum System Using Extended Kalman Filter.” In 2019 International Conference on Cutting-edge Technologies in Engineering (ICon-CuTE), pp. 97-100. IEEE, 2019.
  6. Saha, R., Ratnesh Kumar Singh, Rajeev Kumar, Ghanapriya Singh, Tushar Goel, and Pankaj Kumar Pal. “Classification of human heart signals by novel feature extraction techniques for rescue application.” In 2019 Fifth International Conference on Image Information Processing (ICIIP), pp. 156-160. IEEE, 2019.
  7. Chhillar, Sachin, Ghanapriya Singh, Ajeet Singh, and Vikas Kumar Saini. “Quantitative Analysis of Pulmonary Emphysema by Congregating Statistical Features.” In 2019 3rd International Conference on Recent Developments in Control, Automation & Power Engineering (RDCAPE), pp. 329-333. IEEE, 2019.
  8. Singh, Ratnesh Kumar, Rajesh Saha, Pankaj Kumar Pal, and Ghanapriya Singh. “Novel Feature Extraction Algorithm using DWT and Temporal Statistical Techniques for Word Dependent Speaker’s Recognition.” In 2018 Fourth International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN), pp. 130-134. IEEE, 2018.
  9. Singh, Preeti, Ratnesh Kumar Singh, and Ghanapriya Singh. “An Efficient Iris Recognition System Using Integer Wavelet Transform.” In 2018 2nd International Conference on Trends in Electronics and Informatics (ICOEI), pp. 1029-1034. IEEE, 2018.
  10. Arya, Utkarsh, Ghanapriya Singh, Rishabh Singhal, Saroj Kumar, and Huzaifa Usmaan. “Image authentication based on salient regions of image.” In 2017 International Electrical Engineering Congress (iEECON), pp. 1-4. IEEE, 2017.
  11. Kannojia, Shilpi, Ghanapriya Singh, and Sanjay Mathur. “A text to speech synthesizer using acoustic unit based concatenation for any Indian language of Devanagari script.” In 2016 11th International Conference on Industrial and Information Systems (ICIIS), pp. 759-763. IEEE, 2016.
  12. Singh Ghanapriya, “A generalized contrast enhancement algorithm for seamless high contrast image across devices in Internet of Things.” in Green Computing and Internet of Things (ICGCIoT), 2015 International Conference on, pp. 294-298, IEEE, 2015.
  13. Ghanapriya Singh, Ratnesh Kumar Singh, Rajesh Saha, and NidhiAgarwal. “IWT Based Iris Recognition for Image Authentication.” Procedia Computer Science171 (2020). (Scopus Indexed)

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Book Chapter (02)

  1. Phukan, Orchid Chetia, Ghanapriya Singh, Sanju Tiwari, and Saad Butt. “An Automated Stress Recognition for Digital Healthcare: Towards E-Governance.” In Electronic Governance with Emerging Technologies: First International Conference, EGETC 2022, Tampico, Mexico, September 12–14, 2022, Revised Selected Papers, pp. 117-125. Cham: Springer Nature Switzerland, 2023.
  2. 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.

 

Research Guidance

Ph.D.

1.1 Ritu Tanwar, “ A framework for affect recognition using physiological signals”, Ongoing

 

Master of Technology (M.Tech.):

2.1Shubha Pandey, 2020, Presently working at IBM

2.2 Shefali Saxena, 2019, Pursuing Ph.D. at NIT Hamirpur

2.3 Preeti Singh, 2018, Presently working at Skillnet Solutions Inc.

 

Invited Talks (Since 2021- till date)

  1. Ghanapriya Singh gave a guest lecture in AICTE Training And Learning (ATAL) Academy Online Elementary FDP conducted by Zakir Husain College of Engineering and Technology, AMU on “Speech Enabled Automation Technologies” from Feb 06-17th Feb, 2023.
  2. Ghanapriya Singh gave an expert Lecture titiles, “Introduction and advance programming for Graphical User Interface in MATLAB” in Short Term Course “MATLAB for Engineers” conducted by Dept. of Electronics and Communication Engineering, National Institute of Technology, Kurukshetra on 7th Jan 2023.
  3. Ghanapriya Singh gave a guest lecture in AICTE Training And Learning (ATAL) Academy Online Elementary FDP conducted by Pune Institute of Computer Technology on “MACHINE LEARNING & DEEP LEARNING USING PYTHON” from Jan 4, 2022 to Jan 8, 2022.
  4. Guest lecture on the topic “CNN and Applications” organized by the Department of Artificial Intelligence and Data Science for Savetha University on 01.02.2022
  5. Ghanapriya Singh gave a guest lecture in AICTE Training And Learning (ATAL) Academy Online Elementary FDP conducted by the Institute of Technology, Gopeshwar on “IOT” from October 5, 2021 to October 9, 2021.
  6. Ghanapriya Singh gave a guest lecture in AICTE Training And Learning (ATAL) Academy Online Elementary FDP conducted by NIT Patna on “Application of Novel Methods in Biomedical” (ANMB-2021) from November 23- 27, 2021.
  7. Ghanapriya Singh gave a guest lecture in AICTE Training And Learning (ATAL) Academy Online Elementary FDP conducted by Shri Shankaracharya Technical Campus Bhilai on “Technological Innovation of Artificial Intelligence in Medical Diagnostics” from December 6, 2021 to December 10, 2021.
  8. Amrita Vishwa Vidyapeetham, Chennai: invited by the School of Engineering for delivering the guest lecture on “Deep Learning in Computer Vision” on September 22, 2021.
  9. Stanley College of Engineering and Technology for Women, Hyderabad: invited to speak on the topic “Research Advances in Image Processing” on October 22, 2021.
  10. GH Raisoni: Webinar on “Recent Advances in Deep Learning Techniques and Case Studies for Computer Vision” on October 12, 2021.

 

Administrative Post (at NIT Uttrakhand)

Held various posts like HoD, Asso. Warden (Girls’ Hostel- 03 and 06), Warden, F/C International Affairs, Photography Club& Camera, Internal Complaints Committee, Faculty and Staff Club, etc.

Administrative Post (at NIT Kurukshetra)

  1. F/C Mechatronics Lab, Siemens Centre of Excellence (SCOE)