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About Faculty

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Prof. Sudip Kumar Bhattacharya

Associate Professor

sudip.bhattacharya@bitdurg.ac.in

About 20 years of experience in curriculum development, teaching and assessment of courses in C/C++/Java programming, Data Structures and Algorithms, Formal Languages and Automata Theory, Compilers, SQL and No-SQL Databases, Cloud Computing, HPC, Parallel Computing and Artificial Intelligence. Pursuing PhD from the Centre of Excellence in Artificial Intelligence, IIT Kharagpur in the area of Deep Learning based Surrogate Models for Climate Projections. Research interests in Physics Informed Machine Learning, Generative AI and High Performance Computing.

Prof. Sudip Kumar Bhattacharya

Employee ID 10120
Date of Joining 18-07-2005
Nature of Association Regular
Department Computer Science and Engineering
Designation Associate Professor
Educational Qualification Ph.D. (Pursuing from IIT Kharagpur), M.Tech(CSE), M.Sc.(CS), B.Sc
E-Mail sudip.bhattacharya@bitdurg.ac.in
Contact Number Extension No.: 513, Global Directory No.: 8204
Areas of Interest

Cloud Computing, Parallel Programming, Machine Learning, GPU Computing.

Publications
    1. “High Utility Itemset Mining” , Sudip Bhattacharya and Deepty Dubey,IJETAE, ISSN 2250-2459, Volume 2, Issue 8, Aug 2012.
    2. “Cooperative Diversity in Wireless Networks: A Survey”,Manju Lahare, Kauleshwar Prasad, Sudip Bhattacharya., IJSRD, ISSN 2321-0613, Vol 5,Issue 5, 2017.
    3. “A Literature Survey on Software Defined Networks” , Manju Lahare, Kauleshwar Prasad, Sudip Bhattacharya,JETIR,ISSN 2349-5162, Vol 4, Issue 6, June, 2017.
    4. "Comparitive analyisis on scheduling algorithm on cloud computing" in Journal of emerging technologies & innovative research Aug 2018 with Dr. Ramesh Kumar and Ms. Devyani Gunjan
    5. Anmol Chaure, Ashok Behera, Sudip Bhattacharya,” Finding the Perfect Fit: Applying Regression Models to ClimateBench v1.0” , International Journal of Computer Applications, August 2023.
    6. Anmol Chaure, Ashok Behera, Sudip Bhattacharya, “Gaussian Process Regression for Climate Modeling: Potentials, Limitations, and Advances in Emulation Techniques”, Journal of Emerging Technologies and Innovative Research, vol 10, Issue 6, pp. a227-a287, 2023
Other Info.

Other Responsibilities:

    SPOC for Smart India Hackathon 2017 , 2018, 2019, 2020



Felowship/Awards/Other recognitions:

    1. Master Trainer for High-Performance Computing, certified by CDAC under National Supercomputing Mission
    2. Qualified UGC-NET (LS) 2012 examinations.
    3. Internship experience at IIT Delhi on parallel programming with multi-core and multi-processor technologies like openMP, MPI and GP-GPU on NVidia CUDA.