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Integrated First Degree

B.E.(Chemical)
B.E.(Civil)
B.E.(Computer Science)
B.E.(Electrical and Electronics)
B.E. (Electronics and Computer )
B.E.(Electronics and Communication)
B.E.(Electronics and Instrumentation)
B.E.(Manufacturing Engineering)
B.E.(Mechanical)
BE Pharmaceutical Engineering
B.Pharm.(Pharmacy)
M.Sc.(Biological Sciences)
M.Sc.(Chemistry)
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M.Sc. Semiconductor and Nanoscience
M.Sc.(Economics)
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M.Sc.(Physics)
B. E. (Mathematics and Computing)

Higher Degree

M.E.(Electrical with specialization in Power Electronics and Drives)
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M.E.(Communication)
M.E. (Mechanical with specialization in Thermal Engineering)
M.E. Electronics & Control
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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.(Computer Science)
M.E.(Design Engineering)
M.E.(Embedded Systems)
M.E.(Manufacturing Systems Engineering)
M.E.(Mechanical)
M.E(VLSI & Microelectronics)
M.E. Environmental engineering
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)

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Dr. Harsha K V

Assistant Professor,
Department of Mathematics

Department of Mathematics
Birla Institute of Technology & Science, Pilani
Hyderabad Campus
Jawahar Nagar, Kapra Mandal
Dist.-Medchal-500 078
Telangana, India

Website: https://sites.google.com/view/kvharsha
harsha.kv@hyderabad.bits-pilani.ac.in
Office: +91 40 68012026

Available PhD Positions

I currently work on hypothesis testing and its applications to information theory and related areas. My recent research focuses on the second-order asymptotics  of  various tests in statistical hypothesis testing. Another area of interest is the geometric aspects of parameter estimation and related problems in statistical inference.

Students interested in working with me should have a strong background in probability theory, real analysis, and mathematical statistics, particularly statistical inference.

Interested students with a CSIR/UGC-NET Junior Research Fellowship (JRF) or an NBHM Fellowship are welcome to contact me for Ph.D. research opportunities.

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