Kaushik Majumdar
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
I am interested in exploring how information is encoded, transmitted and decoded in the brain. It is a very complex process involving electrical and chemical activities
at myriad spatial and temporal scales, involving not just the brain alone, but the whole body along with the brain. Here in our research group we only scratch at
the tip of the iceberg – do brain electrical signal and information processing. Specific patterns of brain electrical signals from specific locations at specific
times carry specific information. I am interested in geometric analysis of such patterns and their relationship with the underlying physiological processes.
The model that we use for this purpose is human epileptic seizures. Alongside more conventional clinical studies like automatic seizure detection, exploring
relationship between complex partial seizures and loss of consciousness, studying the synchronization (by various means) profile across the sEEG or iEEG
channels before during and after the seizures, studying effects of deep brain stimulation on the signal patterns, exploring relationship between micro-seizures
and clinical seizures, we explore information encoding in digital signals in terms of atomic motifs and its implications in the brain electrical signal processing.
Currently I am looking for a fulltime intern to work on deep brain stimulation data of epileptic patients. The position carries an internship of Rs. 20000/m and for six
months, with possibility to be extended to one year. The work will be in collaboration with Dr. S. Pati of University of Alabama at Birmingham. The ideal candidate
would be an engineering graduate in electrical/electronics/computer science with experience in signal processing. E-mail CV with a one page statement on why
you are interested in the position at the above addresses. Application processing will start in January 2019 and will continue till the position is filled.
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.