Be yourself... rest will be adjusted itself 🤐
Be yourself... rest will be adjusted itself 🤐
I, Dr. Sourav Kundu, presently working as an Assistant Professor (Visiting) in the department of Electronics and Telecommunication Engineering, IIIT-Bhubaneswar. Previously, I worked as a faculty at IIEST-Shibpur and CGU-Bhubaneswar. I completed my Ph.D. in Electronics and Communication Engineering, NIT Rourkela (2020) and M.Tech in Mechatronics from IIEST Shibpur (2014). My area of research is Biomedical Signal Processing (BSP) and Machine Learning (ML).
International Institute of Information Technology Bhubaneswar.
Assistant Professor (Visiting) in ETC department
Indian Institute of Engineering Science and Technology (IIEST), Shibpur
Temporary faculty in ETCE department
C V Raman Global University, Bhubaneswar
Assistant Professor in ECE department
PhD in Electronics and Communication Engineering, National Institute of Technology, Rourkela
Thesis Title: Analysis of Electroencephalogram Signal for P300 based BrainComputer Interface Speller.
Master of Technology in Mechatronics
Indian Institute of Engineering Science and Technology (IIEST), Shibpur
B.Tech in Electronics and Communication Engineering
Techno India, Salt lake, Kolkata
West Bengal University of Technology
Professional Service:
Reviewer of IEEE Transactions on Systems, Man and Cybernetics: Systems
Reviewer of IEEE Transactions on Neural Systems & Rehabilitation Engineering
Reviewer of Computer Methods and Programs in Biomedicine.
Reviewer of "IEEE SILCON 2024" organized by IEEE Silchar subsection
Reviewer of "IEEE INDICON-2024" organized by IEEE Kharagpur section
Reviewer of " IEEE INDISCON 2025 " organized by IEEE Rourkela subsection
Journal
[1] S. Kundu and S. Ari, “P300 detection with brain-computer interface application using PCA and ensemble of weighted SVMs,” IETE Journal of research, vol. 64, no. 3, pp. 406-414, 2018. (Taylor & Francis, ISSN No: 0377-2063)(Q3-IF-1.3)
[2] S. Kundu and S. Ari, “P300 based character recognition using sparse autoencoder with ensemble of SVMs,” Biocybernetics and Biomedical Engineering, vol. 39, no. 4, pp. 956-966, 2019. (Elsevier, ISSN No: 0208-5216)(Q1-IF-6.6)
[3] S. Kundu and S. Ari, “P300 based character recognition using convolutional neural network and support vector machine,” Biomedical Signal Processing and Control, vol. 55, p. 101645, 2020. (Elsevier, ISSN No: 1746-8094 / 1746-8108) (Q1-IF-4.9)
[4] S. Kundu and S. Ari, “A Deep Learning Architecture for P300 Detection with Brain -Computer Interface Application,” IRBM, vol. 41, no. 1, pp. 31-38, 2020. (Elsevier, ISSN No: 1959-0318 / 1876-0988)(Q1-IF-4.2)
[5] S. Kundu and S. Ari, “MsCNN: A Deep Learning Framework for P300 Based Brain-Computer Interface Speller,” IEEE Transactions on Medical Robotics and Bionics, vol. 2, no. 1, pp. 86-93, 2020. (ISSN No: 2576-3202)(Q1-IF-3.8)
[6] S. Kundu and S. Ari, “Brain-Computer Interface Speller System for Alternative Communication: A Review,” IRBM, vol. 43, no. 4, pp. 317-324, 2022. (Elsevier, ISSN No: 1959-0318 / 1876-0988) (Q1-IF-4.2)
Conference
[1] S. Kundu and S. Ari, “Score normalization of ensemble SVMs for BCI P300 speller,” in 8th international conference on computing, communication and networking technologies (ICCCNT), Delhi, 2017, pp. 1-5. (ISBN No: 978-1-5090-3038-5)
[2] S. Kundu and S. Ari, “P300 Detection using Ensemble of SVM for Brain-Computer Interface Application,” in 9th international conference on computing, communication and networking technologies (ICCCNT), Bengaluru, 2018, pp. 1-5. (ISBN No: 978-1-5386-4430-0)
[3] S. Kundu and S. Ari, “Fusion of Convolutional Neural Networks for P300 based Character Recognition,” in 18th international conference on information technology (ICIT), Bhubaneswar, 2019, pp. 155 - 159. (ISBN No: 978-1-7281-6052-8)