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Integrated First Degree

B.E. (Civil)
B.E.(Biotechnology)
B.E.(Chemical)
B.E.(Civil)
B.E.(Computer Science)
B.E.(Electrical and Electronics)
B.E.(Electronics and Communication)
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Veeky Baths

goa Biological Sciences

Associate Professor

Computational Neuroscience, Cognitive Neuroscience, Consumer Neuroscience, Psycholinguistics
veeky@goa.bits-pilani.ac.in
0832-2580436
 
 
Degree: Ph.D.
 
Joined BITS Pilani in June 2005
 
Click here to know the faculty details
 
 
Education and Professional Experience
 
Visiting Research Fellow, School of Biomedical Sciences: University of Leeds
 
Doctor of Philosophy (Systems Biology & Graph Theory): BITS Pilani, India
 
Master of Science (Bioinformatics) : Orissa University of Agriculture & Technology, Odisha
 
Master of Business Administration :  Goa Institute of Management,  Goa , India
 
 
 
About the Faculty
 

Veeky Baths received his Ph.D. Degree from Birla Institute of Technology & Science, Pilani, India in the year 2012. He then obtained an MBA from Goa Institute of Management. Currently he is working as an Associate Professor and heading the Cognitive Neuroscience Lab at BITS, Pilani K. K. Birla Goa Campus. He has received many Prestigious National and International research grants such as iBRAIN. He has 15 years of experience of teaching and research and has published many research articles in reputed conferences and journals. He is an Honorary Board Member of the Association for Reading and Writing in Asia (ARWA). The aim of ARWA is to enhance interactions among researchers and graduate students interested in Asian languages and to link the network of researchers who are working on learning difficulties in reading and writing of Asian languages. He is a founding member of the Society for the Cognitive Science of Culture (SCSC). The society aims to understand the human mind and how cultural objects (e.g., literacy; religion), including those within culture at macro-level, can shape the human brain and mind. His research interests include Computational Psycholinguistics and Alzheimer’s Dementia Detection from Spontaneous Speech using Machine Learning, Brain Computer Interface, Consumer Neuroscience, Brand perception, Neural Signal Processing and Pattern Recognition.

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