About:

I am currently working as Associate Profeccor in the Department of Electronics and Communication Engineering at Indian Institute of Information Technology Guwahati (IIITG). Before, I was appointed as Assistant Professor in Dept. of ECE, IIITG. I did my PhD from National Cheng Kung University (NCKU), Tainan, Taiwan (R.O.C.) in 2015 followed by Postdoctoral research fellow in AMS-VLSI State Key Laboratory, University of Macau, China. My PhD study as well as Postdoctoal research works involve in Biomedical Signal Processing, Emotion Recognition, and Machine Learning. My current research focuses are Deep Learning, Biomedical Signal Processing, Emotion Analysis, Microscopic and Medical Image Processing and AI based Product Development. For more Google Scholar | ORCID 🔗

Research Interests:

  1. Biomedical Signal & Image Processing
  2. Machine Learning and Deep Learning
  3. Microscopic Image Processing
  4. Emotion Analysis
  5. Human Computer Interface
  6. AI Based Product Development
For more Please visit

Brain and Emotion Analysis Lab (B E A L) 🔗

Teaching:

  1. Biomedical Signal Processing
  2. Digital Design
  3. Signal & System
  4. Digital Signal Processing

Ph.D. Supervision:

  1. Ms. Sumona Biswas (Ongoing)
    Research Area: Microscopic Image Processing and Deep Learning (Computer and Android platform)
  2. Mr. Anand Shankar (Ongoing)
    Research Area:Deep Learning, Biomedical Signal and Image Processing
  3. Dr. Parthana Sarma (Completed)
    Thesis Title: Electroencephalogram (EEG) Based Emotion Recognition by Distinguishing EEG-Segments Having High Affective Content From Relevant Channels at Scalp Level

Professional Association and Activities:

  • Associate Editor: IEEE Transactions on Instrumentation & Measurement
  • Associate Editor: IEEE Access
  • IEEE Member
  • Indian Academy of Neuroscience (Life Member)
  • Indian Network for Memory Studies (INMS) Member
  • Sponsored Research Project:

    1. Title: Detection and Forecasting of Extreme Weather Events in Egypt and India Using Deep Learning
      Funded by: DST, India & ASRT, Egypt. (2 Years), 2021 - 2022 (Ongoing)
    2. Title: A Low Cost, Portable and High Quality Device (Prototype) For Food Quality Assessment Based On Microscopic Image and Deep Learning
      Funded by: DST/MHRD ( IMPRINT-II), Govt. of India. (3 Years), 2019 - 2021 (Completed)
    3. Title: Classification of EEG Data Using Deep Learning (LSTM+CNN) Technique and Hilbert Vibration Decomposition (HVD) Method and Its Application in Epilepsy
      Funded by: NECBH-IITG/DBT, Govt. of India. (2 Years), 2019 - 2021 (Completed)

    Open Positions:

  • For Postdoctoral Fellow or PhD Scholar: Looking for enthusiastic and motivated individual having interest in any of the above research areas can contact [shovan@iiitg.ac.in]. Although, I am very keen to provide financial support to all scholars, but due to lack of availability of funds, always it is not possible. Hence, interested Post-doctoral and PhD scholars are highly encouraged to apply for independent funding from different Govt. / Non-Govt. agencies.
  • For Postgraduate students: Interested postgraduate (M-Tech) students can join for their final year project from any of the above research areas.
  • For Undergraduates students: Interested students (B-Tech) are welcome to gain some working experience in any of the above research areas as semester project. Contatct [shovan@iiitg.ac.in] mentioning your research interest.
  • For Internship: Interested students may join as intern during vacation time.
  • Publications:

    Patent
    1. Shovan Barma and Sumona Biswas, System and Device for Quality assessment of Vegetables, Indian Patent, Application No.: 20223101795, Filing Date: 28 March 2022
    Journals
    1. Jia Wen Li, Rong Jun Chen, Shovan Barma, Fei Chen, Sio Hang Pun, Peng Un Mak, Lei Jun Wang, Xian Xian Zeng, Jin Chang Ren, Hui Min Zhao, "An Approach to Emotion Recognition Using Brain Rhythm Sequencing and Asymmetric Features," Cognitive Computation (Springer), 2022, DOI: 10.1007/s12559-022-10053-z
    2. Anand Shankar, Samarendra Dandapat, and Shovan Barma, "Discrimination of Types of Seizure Using Brain Rhythms Based on Markov Transition Field and Deep Learning" IEEE Open Journal of Instrumentation and Measurement, 2022 DOI: 10.1109/OJIM.2022.3202555
    3. Anand Shankar, Samarendra Dandapat, and Shovan Barma " Seizure Types Classification by Generating Input Images With In-Depth Features From Decomposed EEG Signals For Deep Learning Pipeline," IEEE Journal of Biomedical and Health Informatics , 2022. DOI: 10.1109/JBHI.2022.3159531
    4. Parthana Sarma, Shovan Barma, "Emotion Recognition by Discriminating EEG Segments With High Affective Content From Automatically Selected Relevant Channels," IEEE Transactions on Instrumentation & Measurement, 2022. DOI: 10.1109/TIM.2022.3147876
    5. Jia Wen Li, Shovan Barma, Peng Un Mak, Mang I Vai, and Sio Hang Pun "Emotion Recognition Based on EEG Brain Rhythm Sequencing Technique," IEEE Transactions on Cognitive and Developmental Systems, 2022. DOI: 10.1109/TCDS.2022.3149953
    6. Jia Wen Li, Shovan Barma, Peng Un Mak, Fei Chen, Cheng Li, Ming Tao Li, Mang I Vai, and Sio Hang Pun" Single-channel Selection for EEG-based Emotion Recognition Using Brain Rhythm Sequencing," IEEE Journal of Biomedical and Health Informatics, 2022. DOI: 10.1109/JBHI.2022.3148109
    7. Parthana Sarma, Shovan Barma, "Emotion Recognition by Distinguishing Appropriate EEG Segments Based on Random Matrix Theory," Biomedical Signal Processing and Control (Elsevier), vol. 70, pp. 102991. 2021.
    8. Sumona Biswas, Shovan Barma, "A Large-Scale Fully Annotated Low-Cost Microscopy Dataset for Deep Learning Framework," IEEE Transactions on NanoBioscience, vol. 20, no. 4, pp. 507 –515, 2021.
    9. Parthana Sarma, Shovan Barma, "Usefulness of Blinking Duration Variability (BDV) in Discriminating Emotional States," Biomedical Signal Processing and Control (Elsevier), vol. 69, pp. 102883. 2021.
    10. Anand Shankar, Hnin Kay Khaing, Samarendra Dandapat, and Shovan Barma, "Analysis of Epileptic Seizures Based on EEG Using Recurrence Plot Images and Deep Learning," Biomedical Signal Processing and Control (Elsevier), vol. 69, pp. 102854. 2021
    11. Sumona Biswas, Shovan Barma, "A Large-scale Optical Microscopy Image Dataset of Potato Tuber for Deep Learning Based Plant Cell Assessment," Scientific Data (Nature), vol. 7, Article number 371, 2020.
    12. Parthana Sarma, Shovan Barma, "Review on Stimuli Presentation for Affect Analysis Based on EEG", IEEE Access, vol. 8 pp. 51991 - 52009, 2020.
    13. Jia Wen Li' Shovan Barma, Peng Un Mak, Sio Hang Pun, Mang I Vai, "Brain Rhythm Sequencing Using EEG Signals: A Case Study on Seizure Detection", IEEE Access, vol. 7, pp. 160112 - 160124, 2019.
    14. Xi Mei Chen, Shovan Barma, Sio Hang Pun, Mang I Vai, and Peng Un Mak, “Direct Measurement of Elbow-Joint-Angle Using Galvanic Couple System,” IEEE Transactions on Instrumentation and Measurement, vol. 66, no. 4, pp. 757–766, 2017.
    15. Shovan Barma, Bo-Wei Chen, Wen Ji, Seungmin Rho, Chih-Hung Chou, and Jhing-Fa Wang, “Detection of the Third Heart Sound Based on Nonlinear Signal Decomposition and Time–Frequency Localization,” IEEE Transactions on Biomedical Engineering, vol. 63, no. 8, pp. 71718–1727, 2016.
    16. Chih-Hung Chou, Ta-Wen Kuan, Shovan Barma, Bo-Wei Chen, Wen Ji, Chih-Hsiang Peng, and Jhing-Fa Wang, “A New Binary-Halved Clustering Method and ERT Processor for ASSR System,” IEEE Transactions on Very Large Scale Integration (VLSI) Systems, vol. 24, no. 5, pp. 1871–1884, 2016.
    17. Kashif Iqbala, Michael Odetayoa, Anne Jamesa, Rahat Iqbala, Neeraj Kumarb, and Shovan Barma, “An efficient image retrieval scheme for colour enhancement of embedded and distributed surveillance images,” Neurocomputing (Elsevier), vol. 174 Part A, pp. 413–430, 2016.
    18. Shovan Barma, Bo-Wei Chen, Wen Ji, Feng Jiang, and Jhing-Fa Wang, “Measurement of Duration, Energy of Instantaneous-Frequencies, and Splits of Subcomponents of the Second Heart Sound,” IEEE Transactions on Instrumentation and Measurement, vol. 64, no. 7, pp. 1958–1967, 2015.
    19. Shovan Barma, Bo-Wei Chen, Ka Lok Man, and Jhing-Fa Wang, “Quantitative Measurement of Split of the Second Heart Sound (S2),” IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 12, no. 4, pp. 851–860, 2015.
    20. Chih-Hsiang Peng, Po-Chuan Lin, Shovan Barma, Jhing-Fa Wang, Hong-Yuan Peng, Karunanithi Bharanitharan, and Ta-Wen Kuan, “Low-power enhanced system-on-chip design for sequential minimal optimisation learning core with tri-layer bus and butterfly-path accelerator,” IET Computers & Digital Techniques, vol. 9, no. 2, pp. 93–100, 2015.
    21. Feng Jiang, K. Bharanitharan, Shovan Barma, Hailiang Wang , and Debin Zhao, “Game Theory based Nonreference Perceptual Quality Assessment for Stereoscopic Images,” The Journal of Supercomputing (Springer), vol. 71, no. 9, pp. 3337–3352, 2015.
    22. C. RoyChaudhuri, and S. Barma, “A High Performance 1GHz Voltage Controlled Oscillator Using Neural System Architecture,” Analog Integrated Circuits and Signal Processing, vol. 6, no. 3, pp. 459–465, 2011.
    23. N. P. Futane, P. Bhattacharyya, S. Barma , C. Roy Chaudhuri and H. Saha, “NanocrystallineZnO based MEMS Gas Sensors with CMOS ASIC for Mining Applications,” International Journal on Smart Sensing and Intelligent Systems, vol. 1, no. 2, pp. 430–442, 2008.
    Conferences
    1. Atharv Dabhade, Samshitha Roy, Marwa S Moustafa, Sayed A. Mohamed, Reda El Gendy, Shovan Barma, “Extreme Weather Event (Cyclone) Detection in India Using Advanced Deep Learning Techniques,” in 9th IEEE International Conference on Orange Technology (ICOT), in Tainan, Taiwan. 16-17 December 2021.
    2. Anand Shankar, Samarendra Dandapat, Shovan Barma “Classification of Seizure Types Based on Statistical Variants and Machine Learning,” IEEE INDICON21, December 19-21 2021.
    3. Anand Shankar, Samarendra Dandapat, Shovan Barma “Seizure Type Classification Using EEG Based on Gramian Angular Field Transformation and Deep Learning,” 43rd IEEE Conference on Engineering in Medicine and Biology Conference (EMBC 2021), Virtual, Nov. 1-5, 2021.
    4. Anand Shankar, Samarendra Dandapat, Shovan Barma “Classification of Epileptic Seizure From EEG Signal Based on Hilbert Vibration Decomposition and Deep Learning,” 43rd IEEE Conference on Engineering in Medicine and Biology Conference (EMBC 2021), Virtual, Nov. 1-5, 2021
    5. Jia Wen Li, Shovan Barma, Sio Hang Pun, Fei Chen, Cheng Li, Ming Tao Li, Pan Ke Wang, Mang I Vai, and Peng Un Mak, "EEG-based Emotion Recognition Using Similarity Measure of Brain Rhythm Sequencing" 43rd IEEE Conference on Engineering in Medicine and Biology Conference (EMBC 2021), Virtual, Nov. 1-5, 2021.
    6. Jia Wen Li, Shovan Barma, Sio Hang Pun, Mang I Vai, Feng Wan, Wai Sun Liu and Peng Un Mak, "Brain Rhythm Sequencing and Its Application for EEG-based Emotion Recognition," 2021 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA) , Virtual, June 18-21, 2021.
    7. Anand Shankar, Hnin Kay Khaing, Samarendra Dandapat, Shovan Barma“Epileptic Seizure Detection Based on Gramain Angular Field Transformation and Deep Learning,” 2nd IEEE Conference on Applied Signal Processing 2020 (ASPCON 2020), Kolkata India, Oct. 7-9, 2020.
    8. Anand Shankar, Samarendra Dndpat, Shovan Barma, “Graph Theory and Machine Learning Based Epileptic Seizure Analysis from EEG,” 63rd IEEE International Midwest Symposium on Circuit and Systems (IMSCS), Springfield, MA USA. Aug. 9-12, 2020.
    9. Jia Wen Li, Shovan Barma, Sio Hang Pun, Mang I Vai, Pan Ke Wang, Xin Liu, Yuan Yu Yu, Jiu Jiang Wang, Shuang Zhang, Peng Un Mak, Initial Study of Emotion Recognition Using Brain Rhythm Sequencing Method, 11th Asian Pacific Conference on Medical and Biological Engineering, Okayama, Japan, May 25-27, 2020.
    10. Sumona Biswas, Shovan Barma, "Usability of Foldscope in Food Quality Assessment Device", International Conference on Pattern Recognition and Machine Intelligence (PReMI 2019), Tezpur, India, Dec. 17-20, 2019. pp. 490-498.
    11. Sumona Biswas, Shovan Barma, "Foldscope Image Enhancement in HSV Space by PSO Optimization Technique" IEEE 12th Biomedical Engineering International Conference (BMEiCON 2019), Ubon Ratchathani, Thailand, Thailand Nov. 19-22, 2019.
    12. Yi Zhan, Mang I Vai, Shovan Barma, Sio Hang Pun, Jia Wen Li and Peng Un Mak, "A Computation Resource Friendly Convolutional Neural Network Engine For EEG-based Emotion Recognition" IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA 2019) , Tianjan, China, Jun 14-16 2019.
    13. Parthana Sarma, Shovan Barma, "Emotion Analysis Based on LASSO" IEEE Region 10 Symposium (TENSYM), Kolkata, India, 7-9 June 2019.
    14. Jia Wen Li, Xu Tong Cui, Shovan Barma, Sio Hang Pun, Pedro Antonio Mou, Hui Juan Huang, U Kin Che, Mang I Vai, Peng Un Mak, "Scalp Level Connectivity for Representative Channels in Emotional Status" World Congress on Medical Physics and Biomedical Engineering 2018 in Prague, Czech Republic. Jun 3-8, 2018.
    15. Suraj ; Ish Kool ; Dharmendra Kumar ; Shovan Barma, "Visual Machine Intelligence for Home Automation" IEEE International Conference On Internet of Things: Smart Innovation and Usages (IoT-SIU) , in Bhimtal, India, 23-24 Feb. 2018.
    16. Suraj, Parthana Sarma, Amit Kumar Yadav, Amit Kumar Yadav, Shovan Barma "Keystroke Rhythm Analysis Based on Dynamics of Fingertips" International Conference on Machine Intelligence and Signal Processing (MISP) in IIT Indore, India. 22-24 Dec 2017.
    17. Jia Wen Li, Peng Un Mak, Shovan Barma, Sio Hang Pun, Xu Tong Cui, U. Kin Che, Mang I. Vai, "Studies of scalp level connectivity and representative channels in epilepsy" IEEE Biomedical Engineering International Conference (BMEiCON), in Hokkaido, Japan. 31 Aug.-2 Sept. 2017.
    18. Mehfishan Nishat, Madhurjya Bora, Gitartha Kashyap, Xutong Cui, Sio-Hang Pun, and Shovan Barma, “Analysis of Neural Electrical Activities During Elicitation of Human Emotion based on EEG,” IEEE International Conference on Signal Processing and Communication (ICSC), in Noida, India. 26-28 Dec. 2016.
    19. Shovan Barma , Bo-Wei Chen, Hung-Ming Wang, Hung-Jui Wang, and Jhing-Fa Wang, “Second Heart Sound (S2) Decomposition by Hilbert Vibration Decomposition (HVD) for Affective Signal Modeling and Learning,” in International Conference on Webbased Learning (ICWL), in Kenting, Taiwan. 20-23 Sep. 2014.
    20. Shovan Barma,Ta-Wen Kuan, Chih-Hung Chou, and Jhing-Fa Wang, “A Novel Feature Generation Method Based on Nonlinear Signal Decomposition for Automatic Heart Sound Monitoring,” in IEEE International Conference on Orange Technology (ICOT), in X’ian, China. 20-23 Sep. 2014.
    21. Shu-Chiang Chung, Shovan Barma, Ta-Wen Kuan, Ting-Wei Lin, “Frowning expression detection based on SOBEL filter for negative emotion recognition,” in IEEE International Conference on Orange Technology (ICOT), X’ian, China. 20-23 Sep. 2014.
    22. Shovan Barma,Ta-Wen Kuan, Jaw-Shyang Wu, Shih-Pang Tseng, Jhing-Fa Wang, “A review on heart sound modeling: Fluid dynamics and signal processing perspective,” in IEEE International Conference on Orange Technology (ICOT) , in Tainan, Taiwan. 12-16 Mar 2013.

    Shovan Barma

    Associate Professor (ECE)

    P.hD., NCKU, Taiwan

    Email:

    shovan@iiitg.ac.in

    Contact:

    +91-9007956519