Academic Qualifications
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Ph.D. thesis titled "Single and Multiobjective Approaches to Clustering with Point Symmetry" submitted to Indian Statistical Institute, Kolkata, India on 26th August, 2009; viva voce
examination held on January 21, 2011.
Supervisor: Prof. (Dr.) Sanghamitra Bandyopadhyay, Professor, Machine Intelligence Unit,
Indian Statistical Institute, Kolkata, India.
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Master of Technology in Computer Science, Indian Statistical Institute, Kolkata, India, 2005,
Ranked First with 87.42% marks.
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Bachelor of Technology in Computer Science and Engineering from Kalyani Govt. Engineering
College, India, 2003, Ranked Third with 85.88% marks (1st class).
- Passed Higher Secondary (10+2 level) Examination in 1999 with 89.0% marks.
- Passed Madhyamik (10 level) Examination in 1997 with 90.5% marks.
Subjects Taught
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Introduction to Machine Learning (Open elective for B.Tech, M.Tech and PhD students)
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Advanced Machine Learning (Open elective for B.Tech, M.Tech and PhD students)
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Artificial Intelligence (Theory; B.Tech course)
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Pattern Recognition (M.Tech and B.Tech elective)
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Reinforcement Learning (Open Elective for B.Tech, M.Tech and Ph.D. students)
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Programming and Data Structures (Theory and Lab; B.Tech core course)
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Databases (Theory; BTech core course)
- Database and Data Mining (Theory: M.Tech Maths and Computing Core Course)
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Operating Systems (Theory and Lab; B.Tech core course)
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Automata Theory (Theory; B.Tech core course)
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Introduction to Computing (Theory and Lab; B.Tech core course)
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Digital Design (Theory; B.Tech core course)