Specialization

Biomedical Engineering

Email

deba.dash@thapar.edu

Biography

Worked as Research Associate at IIT Gandhinagar. He is holding a Ph. D. degree in Electrical engineering department from Indian Institute of Technology, Patna. He is working on EEG based Epileptic seizure detection from the last 5 years. He has published various journal and conference papers related to Biomedical signal processing and video surveillance. His research interests include Healthcare technology, Biomedical signal processing, Biomechanics and Cognition.

Education

1. Ph.D. in Electrical Engineering from /Indian Institute of Technology Patna / in 2020
2. M. Tech in Biomedical Engineering from / Manipal Institute of Technology / in 2014
3. B.Tech. in Biomedical Engineering from /Trident Academy of Technology, BBSR / in 2009

Experience: Total Teaching Experience 1 year, 6 Months

1. From March 2010 - August 2011: Lecturer, Biomedical Engineering, Mahavir Institute of Engineering & Technology, BBSR

Teaching Interests:

1. Biomedical Signal Processing
2. Artificial Intelligence
3. Biomechanics
4. Introduction to Bioengineering applications

Research Interest:

1. Biomedical Signal Processing
2. Cognition

Publications:

Journals

1. Dash, D. P., Kolekar, M. H., & Jha, K, Multi-channel EEG based Automatic Epileptic Seizure Detection using Iterative Filtering Decomposition and Hidden Markov Model., Computers in Biology and Medicine. 116, 2020, Pages.103571.
2. Dash, D. P., & Kolekar, M. H. Hidden Markov Model based Epileptic Seizure Detection using Tunable Q Wavelet Transform. The journal of biomedical research, 34(3), 2020, Pages 168-177.
3. Dash, D. P., & Kolekar, H. M. EEG based Epileptic Seizure Detection using Empirical Mode Decomposition and Hidden Markov Model. Indian Journal of Public Health Research & Development, 8(4), 2017, Pages.897-903.
4. Dash, D. P., Kolekar, M. H., & Jha, K. Surface EEG Based Epileptic Seizure Detection using Wavelet Based Features and Dynamic Mode Decomposition Power along with KNN Classifier. Multimedia Tools and Applications (Accepted, 2021)

International Conferences:

1. Dash, D. P., & Kolekar, M. H, “EEG based Epileptic Seizure Detection using Least Square SVM with Spectral and Multi-scale Key Point Energy Features”, International conference on Soft Computing for Problem Solving, liverpool hope university, liverpool, UK, Pages. 323-335, 2020, Springer.
2. Dash, D. P., & Kolekar, M. H., “Dense Optical Flow Trajectory-Based Human Activity Recognition Using Hierarchical Hidden Markov Model”. International Conference on Computer Vision & Image Processing, IIT Roorkee, Pages: 103-116, 2018, Springer.
3.  Dash, D. P., & Kolekar, M. H., “Probability-Based Approach for Epileptic Seizure Detection Using Hidden Markov Model”. International Symposium on Signal Processing and Intelligent Recognition Systems, Symbiosis, Pune, Pages: 268-281, 2018, Springer. (Best Paper Award)
4.  Dash, D. P., & Kolekar, M. H, “Epileptic Seizure Detection Based on EEG Signal Analysis using Hierarchy based Hidden Markov Model”, International Conference on Advances in Computing, Communications and Informatics, Manipal University, Manipal, Pages: 1114-1120, 2017, IEEE.
5. Kolekar, M. H., Dash, D. P., & Patil, P. N, “Support vector machine-based extraction of crime information in human brain using ERP image”, International Conference on Computer Vision and Image Processing, IIT Roorkee, Pages: 163-174, 2017, Springer.
6. Kolekar, M. H. and Dash, D. P, “Hidden Markov Model based Human Activity Recognition using Shape and Optical Flow based Features”, IEEE Region 10 Conference, Singapore, Pages: 393-397, 2016, IEEE.
7. Kolekar, M. H., & Dash, D. P, “A Nonlinear Feature based Epileptic Seizure Detection using Least Square Support Vector Machine Classifier”, IEEE Region 10 Conference, Macau, China, Pages: 1-6, 2015, IEEE.

National Conferences:

1. Dash, D. P., Sharma, N & Kolekar, M. H, “EEG based Epileptic Seizure Detection using Empirical Mode Decomposition and Least Square Support Vector Machine Classifier”, Annual National Epilepsy Conference ECON, IGIMS, Patna, 2017

Achievement, Awards and Recognitions

1. Best Paper Award in SYMHEALTH 2017, for the paper titled” EEG based Epileptic Seizure Detection using Empirical Mode Decomposition and Hidden Markov Model.”
2.  Received AICTE GATE Scholarship during my M.Tech.
3.  Invited and presented research paper on “Machine Learning Techniques Based Epileptic Seizure Detection Using EEG Signal” in IBRO-APRC 2018.
4. Selected and participated in the workshop on “Goal-directed future thinking: Methods and analysis of EEG and fMRI”, IIT Bombay, 2016
5.  Selected and participated in two-day workshop on “Facets of AI” organized by National institute of advanced studies. Indian institute of science campus, dated 15th July to 16th July 2020.

Details of Sponsored Project (PI)

Details of the Project

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