| Designation: | Assistant Professor
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| Area: | Computer Science Engineering
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| Qualification: | B.Sc. Physics (Hons) [Calcutta University]
Statistician’s Diploma [Indian Statistical Institute] MBA (Information Systems) [All India Management Association] MCA [Networked University of Multimodal Global Education Exchange] M.Tech (Computer Science) [Jadavpur University] Ph.D. (Computer Science) [Netaji Subhas University]
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| Teaching Field:
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Database Management Systems, Object Oriented Programming, Programming Languages, Soft Computing, Artificial Intelligence, Pattern Recognition
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| Research Focus: | Probability Theory, Pattern Recognition, Fuzzy Logic, Artificial Neural Networks, Genetic Algorithms, Rough Sets, Optimization Algorithms
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| Consulting Area: | Soft Computing, Optimization Algorithms
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| Other Interests: | Reading Novels
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| Email-id:
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arindam_chau@yahoo.co.in, Arindam.Chaudhari@niituniversity.in
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About Me:
Dr. Arindam Chaudhuri is an Assistant Professor at NIIT University where he teaches Computer Science and Information Technology courses. He completed PhD degree in Computer Science from Netaji Subhas University, Kolkata. His current research interests include Fuzzy Logic, Artificial Neural Networks, Genetic Algorithms, Rough Sets and Optimization Algorithms. His interdisciplinary doctoral research work entitled “Studies in Applications of Soft Computing to Some Optimization Problems” focuses in the development of different Hybrid Soft Computing paradigms such as Neuro-Fuzzy, Fuzzy-Genetic, Rough-Neuro-Fuzzy-Genetic etc for various categories of Optimization Problems describing the basic mathematical methods associated with Soft Computing such as Fuzzy Logic and Rough Sets. Most of his research work has been published in IEEE Transactions, Springer, Elsevier and ACM resulting in 11 publications in peer reviewed International Journals, 3 Book Chapters and 8 International Conference Proceedings. He has won Best Paper Award from Vinod Gupta School of Management, Indian Institute Technology Kharagpur for his work “Discovering Stock Price Prediction Rules of Bombay Stock Exchange Using Rough Fuzzy Multi Layer Perception Networks” in 2008. He is presently engaged in the development different Hybrid Soft Computing techniques such as Neuro-Fuzzy, Fuzzy-Genetic, Rough-Neuro-Fuzzy-Genetic etc for generating optimum solutions towards various categories of problems in Industrial Engineering such as Decision Making, Production Planning and Scheduling, Resource Management, Time Series Forecasting and Constrained Optimization. Dr. Chaudhuri has reviewed Papers for Elsevier Journals viz., Expert Systems and Applied Soft Computing, Springer Verlag Journal viz., Chinese Journal of Computer Science and Technology and IEEE Transactions on Fuzzy Sets. Prior to joining NIIT University, he worked as Assistant Professor (Computer Science) with Birla Institute of Technology Mesra, Patna Campus. A partial list of publications of Dr. Chaudhuri is given below.