ABOUT
I am a Postdoctoral Research Fellow at the Beth Israel Deaconess Medical Center, Harvard Medical School. I am a part of the Clinical Data Animation Center led by Dr. M. Brandon Westover.
I completed my PhD in the Department of Electrical Engineering at the Indian Institute of Technology, Delhi, where I worked on multi-modal Airwriting Recognition. I was supervised by Dr. Lalan Kumar and Dr. Prathosh A.P.
ACADEMICS
July 2015 - May 2019
Bachelor of Technology in Electrical & Electronics Engineering
MY EXPERIENCE
POSTDOCTORAL RESEARCH FELLOW
Beth Israel Deaconess Medical Center, Harvard Medical School
Supervisor - Dr. M. Brandon Westover
June 2024 - Present
SYSTEMS ENGINEER
TCS Research & Innovation
Supervisors - Dr. Sunil Kopparapu, Dr. Rupayan Chakraborty
July 2019 - September 2020
RESEARCH AIDE
Arizona State University, USA.
Supervisor - Dr. Visar Berisha
May 2018 - July 2018
RESEARCH INTERN
Indian Institute of Technology, Guwahati, India
Supervisor - Dr. S.R. Mahadeva Prasanna
May 2017 - July 2017
PUBLICATIONS
2024
NeuroAiR: Deep Learning Framework for Airwriting Recognition from Scalp-recorded Neural Signals
A. Tripathi, A. Gupta, A.P. Prathosh, S.P. Muthukrishnan, L.Kumar
IEEE Transactions on Instrumentation and Measurement
2023
TripCEAiR: A Multi-Loss minimization approach for surface EMG based Airwriting Recognition
A. Tripathi, A. P. Prathosh, S. P. Muthukrishnan, L. Kumar
Biomedical Signal Processing and Control
2023
P. Singh, A. Tripathi, L. Kumar, T.K. Gandhi
45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
2023
SurfMyoAiR: A surface Electromyography based framework for Airwriting Recognition
A. Tripathi, A. P. Prathosh, S. P. Muthukrishnan, L. Kumar
IEEE Transactions on Instrumentation and Measurement
2022
ImAiR: Airwriting Recognition framework using Image Representation of IMU Signals
A Tripathi, AK Mondal, L Kumar, Prathosh A.P.
IEEE Sensors Letters
2022
SCLAiR : Supervised Contrastive Learning for User and Device Independent Airwriting Recognition
A Tripathi, AK Mondal, L Kumar, Prathosh A.P.
IEEE Sensors Letters
2021
Automatic speaker independent dysarthric speech intelligibility assessment system
A Tripathi, S Bhosale, SK Kopparapu
Computer Speech & Language, Volume 69, 2021
2021
A Tripathi, R Chakraborty, SK Kopparapu
2020 International Conference on Pattern Recognition (ICPR).
2021
Dementia Classification using Acoustic Descriptors derived from Subsampled Signals
A Tripathi, R Chakraborty, SK Kopparapu
2020 European Signal Processing Conference (EUSIPCO)
2020
Robust estimation of hypernasality in dysarthria with acoustic model likelihood features
M Saxon, A Tripathi, Y Jiao, J Liss, V Berisha
IEEE/ACM Transactions on Audio, Speech, and Language Processing
2020
A Novel Approach for Intelligibility Assessment in Dysarthric Subjects
A Tripathi, S Bhosale, SK Kopparapu
2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
2020
Improved Speaker Independent Dysarthria Intelligibility Classification Using Deepspeech Posteriors
A Tripathi, S Bhosale, SK Kopparapu
2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
2020
Demo Paper : Automatic Speech Intelligibility Assessment in Dysarthric Subjects
A Tripathi, S Bhosale, SK Kopparapu
ICDS 2020 : The Fourteenth International Conference on Digital Society
2020
CNN Based Parkinson’s Disease Assessment using Empirical Mode Decomposition
A Tripathi, SK Kopparapu
KDAH-CIKM 2020 : Third Workshop on Knowledge- Driven Analytics and Systems Impacting Human Quality of Life
2018
Detection of hypernasality based on vowel space area
AK Dubey, A Tripathi, SRM Prasanna, S Dandapat
The Journal of the Acoustical Society of America 143 (5), EL412-EL417
2018
Estimation of Hypernasality Scores from Cleft Lip and Palate Speech.
CM Vikram, A Tripathi, S Kalita, SRM Prasanna
ISCA Interspeech 2018.
