Information
- Designation : Assistant Professor
- Email : jupitara@ei.nits.ac.in
- Phone : 8011017849
Key Notes
- Conference: International - 12
- Journals: 7
- Conferences: 12
- Book Chapters: 2
- Patents: 1
21
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, Assam
GIMT Guwahati
GIMT Guwahati
Debashis Das, K. Shankar, Jupitara Hazarika, “Human Emotion Recognition using EEG Signals based on Different Machine Learning Algorithms”, In Proceedings 4th International Conference on Emerging Electronics and Automation (E2A 2024), December 9th 2024, 2024, NIT Silchar, 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**)
