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, Macau (SAR) China. My PhD study as well as Postdoctoal research works involve in Biomedical Signal Processing, Emotion Recognition, and Speech Signal Processing. Currently, I am working as Assistant Professor in the Department of Electronics and Communication Engineering at Indian Institute of Information Technology Guwahati (IIITG) since August 2016. My research focuses on the understanding of human emotions based on gestures, speech and physiologial signals including design & develope of related hardwares.

Research Interests:

My research interest includes analysis of human emotions based on gesture, speech and physiological signal especially EEG. Core focus of my work on emotinal state transition analysis to understand that how one particular emotional state influences on another for certain conditions and how such emotional state transions impact or effect on human brain. In this purpose, I use the sate-of-the-art analysis methods of signal processing, neuroimaging, non-invasive brain simulation techniques, and brain computer interface (BCI) to understand the human emotions in more details in different environmental/social perspective. Along with, my research also includes to develop new analysis methods for diseases related to neurological disorders . Besides, I am also working with the time complexity issues of the time-frequency analysis (TFA) methods for long-time physiological data processing which could improve the application of TFA in real-time and Big-data processing.


Signal & System
Digital Signal Processing


  1. Xi Mei Chen, Shovan Brama, 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.
  2. Shovan Brama, 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.
  3. Chih-Hung Chou, Ta-Wen Kuan, Shovan Brama, 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.
  4. Kashif Iqbala, Michael Odetayoa, Anne Jamesa, Rahat Iqbala, Neeraj Kumarb, and Shovan Barmac, “An efficient image retrieval scheme for colour enhancement of embedded and distributed surveillance images,” Neurocomputing (Elsevier), vol. 174 Part A, pp. 413–430, 2016.
  5. Shovan Brama, 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.
  6. Shovan Brama, 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.
  7. 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.
  8. 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.
  9. 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.
  10. 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.
  1. 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, .
  2. Yang-Yen Ou, Ta-Wen Kuan, An-Chao Tsai, Shovan Barma, Jhing-Fa Wang, Jheng-Ping Chiou, “SUFFERING Understanding System Based on Facial Expression and Human Action,” in IEEE International Conference on Orange Technology (ICOT), in Melbourne, Australia. 17-20 Dec. 2016.
  3. 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.
  4. 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.
  5. 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.
  6. 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 March 2013.

Dr. Shovan Barma

Assistant Professor (ECE)

NCKU, Taiwan (R.O.C.)