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B.E.(Manufacturing Engineering)
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M.E.(Sanitation Science, Technology and Management)
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M.Pharm.(Pharmaceutics)
M.Pharm.(Pharmaceutical Chemistry)
M.Pharm.(Pharmacy)
M.E.(Design Engineering)
M. E. Computer Science with Specialization in Information Security with B.Sc. input
M.E.(Microelectronics)
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M.E.(Manufacturing Systems Engineering)
M.E.(Embedded Systems)
M.E. Electronics & Control
M.E.(Computer Science)
M.E.(Communication Engineering)
M.E. Civil – Water Resource Engineering
M.E.(Civil with specialization in Transportation Engineering)
M.E.(Civil with specialization in Structural Engineering)
M.E.(Civil with specialization in Infrastructure Engineering and Management)
M.E.(Biotechnology)
M.E.(Environmental Engineering)

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Academics

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)
B.E.(Electronics and Instrumentation)
B.E.(Manufacturing Engineering)
B.E.(Mechanical)
B.Pharm.(Pharmacy)
M.Sc.(Biological Sciences)
M.Sc.(Chemistry)
M.Sc.(Economics)
M.Sc.(General Studies)
M.Sc.(Mathematics)
M.Sc.(Physics)

Higher Degree

M.E.(Electrical with specialization in Power Electronics and Drives)
MBA (Master of Business Administration)
M.E. Civil – Water Resource Engineering
M. E. Computer Science with Specialization in Information Security with B.Sc. input
M.E. (Mechanical with specialization in Thermal Engineering)
M.E. Chemical Engineering (with specialization in Petroleum Engineering)
M.E. Electronics & Control
M.E. M.Pharm
M.E.(Biotechnology)
M.E.(Chemical)
M.E.(Civil with specialization in Infrastructure Engineering and Management)
M.E.(Civil with specialization in Structural Engineering)
M.E.(Civil with specialization in Transportation Engineering)
M.E.(Communication Engineering)
M.E.(Computer Science)
M.E.(Design Engineering)
M.E.(Embedded Systems)
M.E.(Manufacturing Systems Engineering)
M.E.(Mechanical)
M.E.(Microelectronics)
M.E.(Sanitation Science, Technology and Management)
M.E.(Software Systems)
M.Pharm.(Pharmaceutical Chemistry)
M.Pharm.(Pharmaceutics)
M.Pharm.(Pharmacology)
M.Pharm.(Pharmacy)
M.Sc. General Studies – Communication and Media Studies Stream
Master in Public Health
MBA(Master of Business Administration In Business Analytics)

Doctoral Programmes

Biological Sciences
Chemical Engineering
Chemistry
Civil Engineering
Computer Science & Information Systems
Economics & Finance
Electrical & Electronics Engineering
Humanities & Social Sciences
Management
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Integrated First Degree
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Dr. Bharat Richhariya

pilani Computer Science & Information Systems

Assistant Professor, Department of Computer Science & Information Systems, BITS Pilani, Pilani Campus

Machine Learning, Computer Vision, support vector machines, neurological disorders
Room No -: 6121-U, New Academic Building,
Department of Computer Science & Information Systems,
Birla Institute of Technology & Science, Pilani- 333031, Rajasthan. India.
bharat.richhariya@pilani.bits-pilani.ac.in
Phone: +91-1596-25-5678 (Work)
Dr. Bharat Richhariya is Assistant Professor in the department of Computer Science and Information Systems at BITS Pilani (Pilani Campus). Prior to this, he was a Postdoctoral Fellow at Indian Institute of Science (IISc) Bangalore. He completed his PhD in the field of machine learning from Indian Institute of Technology (IIT) Indore. Prior to that, he completed his BTech and MTech in Computer Science and Engineering.
 
He has published 18 research papers in reputed international journals and conferences. He has publications in 15 international (SCI indexed) journals of machine learning such as Pattern Recognition, Neural Networks, and Information Sciences, and over 1000 citations of his works with an h-index of 13. He is the reviewer of several international SCI indexed journals including Scientific Reports (Nature), IEEE TNNLS; IEEE TSMC: Systems; IEEE Transactions on Cybernetics; Pattern Recognition; Applied Soft Computing etc.
 
His research interests include support vector machine, neurological disorders, universum learning and deep neural networks. He is interested in interdisciplinary research involving machine learning, neuroscience, and biomedical signal processing for automated diagnosis of brain disorders such as Alzheimer’s disease, Parkinson's disease and epilepsy.
 
 
 

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