Information
- Designation : Assistant Professor
- Email : jupitara@ei.nits.ac.in
- Phone : 8011017849
Research Group
- Biomedical Signal Processing
Key Notes
- Conference: International - 11
- Journals: 12
- Conferences: 11
- Book Chapters: 3
- Patents: 1
26
PUBLICATIONS1
PATENTIntroduction [Biosketch]
- Dr. Jupitara Hazarika was born in Guwahati, Assam. She did her schooling from T.C. Govt. Girls' H. S. & M.P. School, Guwahati, Assam and higher secondary from Cotton College (University), Guwahati. She completed her bachelor degree in Instrumentation Engineering from Assam Engineering College, Assam and masters degree from Tezpur University, Assam. She was awarded with PhD degree from the Department of Electronics and Instrumentation Engineering, National Institute of Technology Silchar for her thesis on 'Electroencephalographic assessment of Neural Modulation in Action Video game players' in 2019. Her research interests includes neuro-cognitive analysis, biomedical signal processing, machine learning algorithms, deep learning algorithms, artificial intelligence for human health etc.
Areas of Interest
- Intelligent Instrumentation,
- Bio-electronics,
- Biomedical Signal processing,
- Digital Image processing,
- Machine learning algorithms,
- Artificial Intelligence,
- Healthcare
| Institution | Year | Degree |
|---|---|---|
| NIT Silchar | 2019 | PhD |
| Tezpur University | 2011 | MTech in Bioelectronics |
| Assam Engineering College | 2008 | BE in Instrumentation Engineering |
Teaching Experience
NIT Silchar
NIT Silchar, Assam
GIMT Guwahati
GIMT Guwahati
Priyam Kar, Jupitara Hazarika, “Temporal window localization and feature extraction for EEG-based emotion recognition”, Measurement, Volume 281, Issue 121999, July, 2026, Indexed in SCIE, Impact Factor: 6.1
Debashis Das, K. Shankar, Jupitara Hazarika, “Human Emotion Recognition Using EEG Signals Based on Different Machine Learning Algorithms”, InSpriinger, Lecture Notes in Electrical Engineering ((LNEE,volume 1455)), December, 2024, Springer, Indexed in Scopus
Awards And Honours
- Gold Medal in M.Tech (Bioelectronics), 2011 batch, Tezpur University
A system for diagnosing the cognitive effect of tele-series on the human brain using denoised EEG signals
“A SYSTEM FOR STUDYING AND PERFORMING THE PART-OF-SPEECH TAGGING FOR MIZO LANGUAGE”
Federal Republic of Germany
Patent
Registration ID, 202021106795.0
A system for diagnosing the cognitive effect of tele-series on the human brain using denoised EEG signals, (**GRANTED**)
