Uddipan Hazarika

About

Mr. Uddipan Hazarika is a DST- INSPIRE Ph. D. Fellow at the Department of Electronics & Communication Engineering in the School of Engineering at Tezpur University. Brain Activity Mapping And Implementations In Enhanced BCI Framework is his current research topic. Mr. Hazarika earned a Bachelor of Engineering in 2019 from the Department of Electronics & Telecommunication Engineering at the Jorhat Institute of Science and Technology (JIST) under Dibrugarh University, with a 1st Class 3rd rank. In 2021, he graduated from the Department of Electronics & Communication Engineering, Tezpur University, with a Master of Technology in Bioelectronics with 1st Class 1st rank (Gold Medalist). Mr. Hazarika's research interests include intriguing fields such as Brain activity analysis, BCI, Neuroengineering, Biomedical Signal Processing, etc.

Employment

• Tezpur University Research Scholar/ DST INSPIRE Fellow
  2021 - Present

Education

• Tezpur University Ph.D. in Electronics & Communication Engineering
  2021 - Present

Projects & Funding

Projects & funding information is unavailable.

Publications (9)

• Automated Detection of Aberrant Episodes in Epileptic Conditions: Leveraging EEG and Machine Learning Algorithms
  Bioengineering 2025 DOI: 10.3390/bioengineering12040355
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• Brain Activity During Logical Thinking: A Single Lead EEG Approach
  Lecture Notes in Networks and Systems 2025 DOI: 10.1007/978-981-97-2671-4_17
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• Enabling the Translation of Electromyographic Signals Into Speech: A Neural Network Based Decoding Approach
  SN Computer Science 2024 DOI: 10.1007/s42979-024-03457-1
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• A Real-Time Detection of Eye Blinks from the Electroencephalogram
  Leveraging the Potential of Artificial Intelligence in the Real World 2024 DOI: 10.1201/9781032667508-6
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• Automated identification of atrial fibrillation from a short single-lead electrocardiogram using the heart rate variability characteristics of the cardiac cycle
  AIP Conference Proceedings 2024 DOI: 10.1063/5.0198685
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• A BCI framework for smart home automation using EEG signal
  Intelligent Decision Technologies 2023 DOI: 10.3233/idt-220224
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• Edge Detection and Segmentation Type Responses in Primary Visual Cortex
  Lecture Notes in Networks and Systems 2023 DOI: 10.1007/978-981-19-0105-8_14
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• Primates Visual Cortex Inspired Novel Edge Detection Method
  Advances in Intelligent Systems and Computing 2022 DOI: 10.1007/978-981-16-4369-9_35
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• Neuronal Activity and its Impact on Neuronal Growth
  Science & Technology Journal 2021 DOI: 10.22232/stj.2021.09.01.04
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