Ghanahshyam Kshirsagar
Postdoctoral Research Associate
Research Interests
- Brain Computer Interface
- Machine Learning
Education
- PhD in Brain-Computer Interface, National Institute of Technology Raipur
- MS in Biomedical Engineering, University of Pune
- BS in Biomedical Engineering, University of Pune
Biography
Ghanahshyam Kshirsagar is a postdoctoral research fellow at the Khoury College of Computer Sciences at Northeastern University. He earned both his bachelor’s and master’s degrees in biomedical engineering from the University of Pune, and his PhD in brain-computer interface from the National Institute of Technology Raipur. He is affiliated with the Civic A.I. Lab.
Kshirsagar has gained more than six years of research and teaching experience in BCI and deep learning. He is currently a member of the IEEE Young Professionals, ACM and International Association of Engineering.
Outside of research, he enjoys exploring nature.
- SCI International Journals:
- 1. GB Kshirsagar, ND Londhe, DS-P3SNet: An Efficient Classification Approach for Devanagari Script-based P300 Speller using Compact Channel-Wise Convolution and Knowledge Distillation, IEEE Transactions on Systems, Man and Cybernetics: Systems, 2022 (Accepted, DOI: 10.1109/TSMC.2022.3156861) (IF:13.457)
- 2. GB Kshirsagar, ND Londhe, Weighted Ensemble of Deep Convolution Neural Networks for a Single Trial Character Detection in Devanagari Script Based P300 Speller, IEEE Transactions on Cognitive and Developmental Systems, Vol.12, no.03, pp. 551 – 560, Sept. 2019. (IF: 3.379)
- 3. GB Kshirsagar, ND Londhe, Improving Performance of Devanagari Script Input Based P300 Speller Using Deep Learning, IEEE Transactions on Biomedical Engineering, vol. 66, no. 11, pp. 2992-3005, Nov., 2019 (IF: 4.538)
- 4. ND Londhe, GB Kshirsagar, Chhattisgarhi speech corpus for research and development in automatic speech recognition, International Journal of Speech Technology, 21 (2), 193-210, 2018.
Recognitions and Awards
- 1. Selected as a fellow of the Postdoctoral Networking Tour in Artificial Intelligence 9/2021 (DAAD-Germany)
- 2. Special recognition award under research excellence award 2021 (PhD National) in IEI (BLC)-FCRIT Academic and Research Excellence Awards 2021, India
- 3. Chhattisgarh Young Scientist 2018 award (India)
- 4. Junior/Senior Research Fellow Award under Indian Govt Funded Project.
- 5. Best paper award in IEEE International Conferences Conferences:
- 1) V Bhandari, ND Londhe, GB Kshirsagar, Effect of Dilated Convolution on Performance and Parameters of Devanagari Script-based P300 Speller, INDICON 2022 IEEE 19th India Council International Conference, scheduled, Nov 24-26, 2022 at Cochin, Kerala
- 2) ND Londhe, GB Kshirsagar, H Tekchandani, Deep Convolution Neural Network Based Speech Recognition for Chhattisgarhi, 5th International Conference on Signal Processing and Integrated Networks (SPIN), 667-671, IEEE, 2018
- 3) GB Kshirsagar, ND Londhe, Performance Improvement for Devanagari Script Input Based P300 Speller, 5th International Conference on Signal Processing and Integrated Networks (SPIN), 142-147, IEEE, 2018
- 4) GB Kshirsagar, ND Londhe, Deep convolutional neural network-based character detection in Devanagari script input based P300 speller, International Conference on Electrical, Electronics, Communication, Computer, and Optimization Techniques (ICEECCOT), 507-511, IEEE, 2017 (Best paper presenter award)
- 5) ND Londhe, GB Kshirsagar, Continuous speech recognition system for Chhattisgarhi, International Conference Communication and Signal Processing (ICCSP), 0365-0369, IEEE, 2017
- 6) N Sahu, ND Londhe, GB Kshirsagar, FPGA applications in inverter and converter circuits: A review on technology, benefits and challenges, International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS), 1-5, IEEE, 2017
- 7) ND Londhe, GB Kshirsagar, Speaker independent isolated words recognition system for Chhattisgarhi dialect, International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS), 1-6, IEEE, 2017