Dr. Ghanapriya Singh, Ph.D. (IIT Delhi)
Assistant Professor (Grade I)
Department of Electronics and Communication Engineering
National Institute of Technology Kurukshetra
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.
Office Address:
Department of Electronics Engineering
Room # 216-A, Dept. of Electronics and Communication Engg., NIT Campus, National Institute of Technology, Kurukshetra, Haryana, 136119
Email: ghanapriya@nitkkr.ac.in
Contact: +91 9068289740
Websites: https://patents.google.com/?inventor=ghanapriya&oq=ghanapriya
https://scholar.google.co.in/scholarhl=en&as_sdt=0%2C5&q=ghanapriya+singh&oq=gh
Connect: https://www.linkedin.com/in/dr-ghanapriya-singh-950a7923/
Researcher ID:
Vidwan-ID : 253867
Scopus Id: 57189236272
ORCHID : 0000-0002-6927-7652
What's New?
ATAL FDP lecture on 9th Feb 2023 titled "Recent advances in speech Technology".
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 letters Accepted on 27 December 2021. DOI 10.1007/s11063-022-10744-6
Session Chair and reviewer in Artificial Intelligence, Security and Communication AISC 2022 Nov 25th - 26th.