Systems Science and Informatics Unit
Indian Statistical Institute
Ph: +91-80-28483002 ext. 332
E-mail: kmajumdar at isibang dot ac dot in, mkkaushik at hotmail dot com
Research Interests & Goals
Information technology is the most powerful technology of all. Major focus of the modern Brain Science is on how information is being generated
and transmitted from the membranes and ion channels to the whole brain and beyond. In our group we try to understand the nature of neural
information from modeling and signal processing points of view. The latter is to know “What is happening inside the brain?” and the former is to
know “Why is that happening?” Our current concentration is mostly on neural signal processing, particularly scalp and depth EEG and fMRI, all
from human subjects. We have strong collaboration with National Institute for Mental Health and Neurosciences (NIMHANS). Ours is a hardcore
quantitative group working on mathematical, statistical and computational aspects of signal processing in order to retrieve information from the
neural signals. One notable observation that we have made is that biological signals are traditionally processed by visual inspection by
biologists and clinicians. They are more keen on the deterministic geometry of the signal than its statistical information content. Here we work on
mathematical and computational modeling of pattern recognition in signals by visual inspection. Our work has been funded by Department of
Science and Technology, Department of Biotechnology (both of Government of
) and Indian Statistical Institute. Here is our latest externally India
funded project summery.
(The complete list is in my CV)
1. A peak synchronization measure for multiple signals, Rahul Biswas, Koulik Khamaru and Kaushik Majumdar, IEEE Transactions on Signal Processing, vol. 62(17), pp. 4391 – 4399, 2014.
2. Single trial EEG classification using logistic regression based on ensemble synchronization, Pradeep D. Prasad, Harsha N. Halahalli, John P. John and Kaushik Majumdar, IEEE Journal on Biomedical and Health Informatics, vol. 18(3), pp. 1074 – 1080, 2014. MATLAB code for multi-channel phase synchronization measure.
3. Synchronization implies seizure or seizure implies synchronization?, Kaushik Majumdar, Pradeep D. Prasad and Shailesh Verma, Brain Topography, vol. 27(1), pp. 112 – 122, 2014.
4. Enhanced phase and amplitude synchronization toward focal seizure offset, Pradeep D. Prasad, S. Vishaka Datta and Kaushik Majumdar, Clinical EEG and Neuroscience, vol. 44(1), pp. 16 – 24, 2013. MATLAB Code.
5. A mathematical model of tripartite synapse: Astrocyte induced synaptic plasticity, Shivendra Tewari and Kaushik Majumdar, Journal of Biological Physics, vol. 38(3), pp. 465–496, 2012. MATLAB code.
6. A mathematical model for astrocyte mediated LTP at single hippocampal synapses, Shivendra Tewari and Kaushik Majumdar, Journal of Computational Neuroscience, vol. 33(2), pp. 341–370, 2012. Supplementary material and MATLAB code.
8. Automatic Seizure Detection in ECoG by Differential Operator and Windowed Variance, Kaushik Majumdar and Pratap Vardhan, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 19(4): 356, August 2011. MATLAB codes and supplementary material.
9. Human Scalp EEG Processing: Various Soft Computing Approaches, Kaushik Majumdar, Applied Soft Computing, 11: 4433, 2011.
10. Constraining Minimum Norm Inverse by Phase Synchronization and Signal Power of the Scalp EEG Channels, Kaushik Majumdar, IEEE Transactions on Biomedical Engineering, 56(4):1228, Apr 2009.
11. Fourier Uniformity: An Useful Tool for Analyzing EEG Signals with An Application to Source Localization, Kaushik Majumdar, IJCNN’09, Atlanta, Georgia, USA, Jun 2009.
12. Outline of a novel architecture for cortical computation, Kaushik Majumdar, Cognitive Neurodynamics, 2(1): 65, Jun 2008.
13. A structural and a functional aspect of stable information processing by the brain, Kaushik Majumdar, Cognitive Neurodynamics, 1(4): 295, Dec 2007.
14. Amplitude suppression and chaos control in epileptic EEG signals, Kaushik Majumdar and Mark H. Myers, Computational and Mathematical Methods in Medicine, 7(1): 53, Mar 2006.
15. Fuzzy Fractals and Fuzzy Turbulence, K. K. Majumdar, IEEE Transactions on Systems, Man, and Cybernetics, Part – B: Cybernetics, 33(1): 746, 2004.
16. Fuzzy Differential Inclusions in Atmospheric and Medical Cybernetics, K. K. Majumdar and D. Dutta Majumder, IEEE Transactions on Systems, Man, and Cybernetics, Part – B: Cybernetics, 34(2): 877, Apr 2004.
17. A Mathematical Model of the Nascent Cyclone, Kaushik Majumdar, IEEE Transactions on Geoscience and Remote Sensing, 41(5): 1118, 2003.
The Places I Worked
1. Electronics & Communication Sciences Unit of the Indian Statistical Institute, Calcutta (JRF/SRF/ RA-CSIR).
2. Institute of Mathematical Sciences (TCS Group) (Postdoctoral Fellow).
3. University of Memphis (Cognitive Neurodynamics Lab) (Fulbright Visiting Lecturer).
4. Electrical Geodesics Inc., Eugene, Oregon, USA (R&D Scientist).
5. NeuroInformatics Center of the University of Oregon (Research Associate).
6. INRIA Sophia Antipolis, France (Odyssee Group) (Invited Scientist).
7. Center for Complex Systems and Brain Sciences of Florida Atlantic University at Boca Raton (Postdoctoral Fellow).
2. In the Fall 2009 I have taught Foundations of Computers and Information Technology in M.S. in Library and Information Science in ISI Bangalore Center.
3. Elements of Mathematics – II in MSLIS (Spring 2010).
4. Fundamentals of Computers and Information Technology in MSLIS (Fall 2010).
5. Elements of Mathematics I in MSLIS (Fall 2010).
6. Data structures and computer programming in MSLIS (Spring 2011).
7. Elements of Mathematics II in MSLIS (Spring 2011).
8. Designed and taught a course in M.Tech. (Computer Science, Semester III) in ISI titled, “Functional brain signal processing: EEG and fMRI,” in Fall 2013. Course description and lecture materials can be found her (Syllabus, Lesson 1, Lesson 2, Lesson 3, Lesson 4, Lesson 5, Lesson 6, Lesson 7, Lesson 8, Lesson 9, Lesson 10, Lesson 11, Lesson 12, Lesson 13, Lesson 14, Lesson 15, Lesson 16, Lesson 17, Lesson 18, Mid-sem paper, End-sem paper (Dec 2013)).
9. Participated in teaching a graduate course, “Neural signal processing,” in Indian Institute of Science in Spring 2014. The course was jointly offered by Center for Neuroscience and Department of Electrical Engineering.
3. Talk in Brain Science Awareness Workshop on 15th March 2010 titled, The Electric Brain.
4. Invited lecture in the 4th National Conference of the Indian Society of Sleep Research on 13th December 2010 titled, Scalp EEG Separation During RSVP Tasks in Thiruvananthapuram, Kerala.
6. Invited lecture in the International Conference on Game Theory, Operations Research and their Applications, 5 – 7 January 2012 in the Indian Statistical Institute, Chennai Center, titled “Neuroscience as the basis of game theory.”
8. Invited lecture in workshop “Cognition, Emotion and
Computing” organized by Infosys Limited,
9. Invited lecture in National Conference on Brain and Consciousness organized in ISI Kolkata, 20 – 21 September, 2013 titled, “Functional brain signal processing: current trends and future directions.”
11. “Temporal difference as signal feature extractor” in Indo-French Workshop on Statistics and Mathematical Biology organized by Indo-French Centre for Applied Mathematics in Indian Institute of Science from 28 – 31 July, 2014.