*Kaushik Majumdar*

Associate Professor

Systems Science and Informatics Unit

Indian Statistical Institute

8th Mile,

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 `India ) and Indian Statistical Institute. Here is our latest externally

`funded project summery.`

*Selected Papers*

(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.

7. Differential
operator in seizure detection, Kaushik Majumdar, Computers
in Biology and Medicine, 42(1): 70 – 74, 2012. MATLAB code (.zip file), supplementary material.

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).

*Teaching*

1.
I taught a
graduate course on Computational Intelligence in the University of Memphis,

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.

*Presentation*

1. Presentation on the
foundation day of the Systems Science and Informatics Unit.

2. Colloquium
talk at the Indian Statistical Institute Bangalore Center on 3rd November 2009.

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.

5. Invited lecture in the National Conference on
Communications 2011 on 28 January 2011 titled, Cortical Source Localization of Human Scalp
EEG.

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.”

7. Invited lecture in the INCF
Workshop in IIT Madras and IMSc in Chennai, 5–7 November 2012, titled, “Video Synchronization in
Schizophrenia.”

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.”

10.
Invited lecture
in Electrical Geodesics Inc., Eugene, Oregon, USA,
titled, “Ensemble
synchronization in schizophrenia,” on 16 November 2013.

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.