Partha Garai

About

Dr. Partha Garai received the B.Sc. degree in Physics from the University of Calcutta, Kolkata, India, in 2002, and the M.C.A. and M.Tech. degrees in Information Technology from the West Bengal University of Technology, Kolkata, India, in 2006 and 2009, respectively. He received the Ph.D. degree in Computer Science from the Indian Statistical Institute (ISI), Kolkata, India, in 2017.

He is currently an Assistant Professor with the Department of Computer Applications, Kalyani Government Engineering College, Kalyani, India. He has published approximately 22 research papers in reputed international journals and conferences. His research interests include pattern recognition, machine learning, soft computing, and medical imaging. Dr. Garai was a recipient of the INSPIRE Fellowship awarded by the Department of Science and Technology (DST), Government of India, in 2011

Employment

• Kalyani Government Engineering College Assistant Professor
  2015 - Present
• National Institute of Science and Technology Assistant Professor
  2013 - 2015
• Indian Statistical Institute Junior Research Fellow
  2010 - 2013
• IBM India Private Limited Associate System Engineer
  2007 - 2009
• Techno India College of Technology Lecturer
  2006 - 2007

Education

• Indian Statistical Institute Ph.D.
  2010 - 2013
• West Bengal University of Technology Master of Technology
  2007 - 2009
• Techno India MCA
  2003 - 2006

Projects & Funding

Projects & funding information is unavailable.

Publications (10)

• Rough Hypercuboid Based Generalized and Robust IT2 Fuzzy C-Means Algorithm
  IEEE Transactions on Cybernetics 2019 DOI: 10.1109/tcyb.2019.2925130
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• Clustering of microRNAs using rough hypercuboid based fuzzy c-means
  Proceedings - 2016 15th International Conference on Information Technology, ICIT 2016 2017 DOI: 10.1109/ICIT.2016.31
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• IT2 Fuzzy-Rough Sets and Max Relevance-Max Significance Criterion for Attribute Selection
  IEEE Transactions on Cybernetics 2015 DOI: 10.1109/TCYB.2014.2357892
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• RNS based reconfigurable processor for high speed signal processing
  IEEE Region 10 Annual International Conference, Proceedings/TENCON 2015 DOI: 10.1109/TENCON.2014.7022338
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• Simultaneous feature selection and extraction using feature significance
  Fundamenta Informaticae 2015 DOI: 10.3233/FI-2015-1164
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• Design of a reconfigurable dsp processor using rns for mobile computing and embedded systems
  IET Seminar Digest 2014 DOI: 10.1049/ic.2014.0159
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• Simultaneous feature selection and extraction using fuzzy rough sets
  Advances in Intelligent Systems and Computing 2014 DOI: 10.1007/978-81-322-1602-5_13
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• Fuzzy-rough simultaneous attribute selection and feature extraction algorithm
  IEEE Transactions on Cybernetics 2013 DOI: 10.1109/TSMCB.2012.2225832
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• On fuzzy-rough attribute selection: Criteria of Max-Dependency, Max-Relevance, Min-Redundancy, and Max-Significance
  Applied Soft Computing Journal 2013 DOI: 10.1016/j.asoc.2012.09.006
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• Fuzzy-rough MRMS method for relevant and significant attribute selection
  Communications in Computer and Information Science 2012 DOI: 10.1007/978-3-642-31709-5_32
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