Dr. Nikhil R. Pal is a Professor of the Electronics and Communication Sciences Unit, Indian Statistical Institute, Calcutta, India. His current research interests include brain science, computational intelligence, machine learning, and data mining.,Dr. Pal was a recipient of the 2015 IEEE Computational Intelligence Society (CIS) Fuzzy Systems Pioneer Award. He has given many plenary/keynote speeches in different premier international conferences in the area of computational intelligence. He has served as the General Chair, the Program Chair, and the Co-Program Chair of several conferences. He is a Distinguished Lecturer of the IEEE CIS in 20102012 and 20162018. He was a member of the Administrative Committee of the IEEE CIS from 2010 to 2012. He has served as the Vice-President for Publications of the IEEE CIS from 2013 to 2016. He is currently serving as the President of the IEEE CIS, 20182019. He was the Editor-in-Chief of the IEEE Transactions on Fuzzy Systems from 2005 to 2010. He has served/been serving on the editorial /advisory board/steering committee of several journals, including the International Journal of Approximate Reasoning, Applied Soft Computing, the International Journal of Neural Systems, Fuzzy Sets and Systems, the IEEE Transactions on Fuzzy Systems, and the IEEE Transactions on Cybernetics. He is a fellow of the National Academy of Sciences, India, Indian National Academy of Engineering, Indian National Science Academy, International Fuzzy Systems Association, and The World Academy of Sciences.

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Dr. Abhik Ghosh is currently an Assistant professor in Interdisciplinary Statistical Research Unit, Indian Statistical Institute, Kolkata. He received his B.Stat. (Hons.) and M.Stat. (Specialization: Mathematical Statistics and Probability) degrees with gold medals in 2010 and 2012, respectively, from the Indian Statistical Institute (ISI), Kolkata, India. He the completed his PhD in Statistics from the same institute in 2015 under the guidance of Prof. Ayanendranath Basu and did his postdoctoral research in University of Oslo, Norway. His research works involve the divergence measures and minimum divergence inferences, data robustness under Bayesian paradigm, robust and high-dimensional statistical methods with applications to biostatistics and biometrics, robust hypothesis testing, etc. He has received several international recognitions for his research works. These include the first place of the Jan Tinbergen Awards (2013) for young statisticians from developing countries given by International Statistical Institute, 2017 ISCB Conference Awards for Scientists from International Society of Clinical Biostatistics (ISCB), an IMS New Researcher Travel Award given by Institute of Mathematical Statistics (IMS, and an IBS Travel Award from International Biometric Society (IBS). He has also received the 2016 ISCA Young Scientist Award in Mathematical Sciences from Indian Science Congress Association (ISCA), the 2016 Prof. A. M. Mathai Award from Indian Mathematical Society, the 2017 Bose-Nandi Young Statistician Award (1st Place) given by Calcutta Statistical Association (CSA), and many more national awards. Additionally, he has about 3.5 years of total experience in analytics and application of statistical procedures for solving business problems. He worked as an Assistant Manager of Financial Service Analytics in Genpact, Kolkata, India for 1 year and also as the Research Manager of Quantitative Modelling in the R&D wing of the market research agency IMRB International for 2.5 years, and received several award of recognition there.

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Pradipta Maji is a Professor in the Machine Intelligence Unit, Indian Statistical Institute, Kolkata, India. His research interests include pattern recognition, machine learning, medical image processing, bioinformatics, and so forth. He is a Fellow of National Academy of Sciences, India. He has received the 2008 Microsoft Young Faculty Award from Microsoft Research Laboratory India Pvt., the 2009 Young Scientist Award from the National Academy of Sciences, India, the 2011 Young Scientist Award from the Indian National Science Academy, India, and the 2015 Young Faculty Research Fellowship from the Ministry of Electronics and Information Technology, Government of India. He has been selected as the 2009 Young Associate of the Indian Academy of Sciences, India; and elevated to the 2016 Senior Member of IEEE, USA and 2018 Senior Member of International Rough Set Society.

Dr. Malay Bhattacharyya has obtained his PhD degree in Computer Science from Indian Statistical Institute, Kolkata in 2014. He is a certified Design Thinker from MIT Sloan School of Management. He has about 7 years of teaching and 12 years of research experience. His current research interests include Crowdsourcing, Big Data Analysis, and Computational Biology. He has published more than 80 research papers in various peer-reviewed journals, book chapters and proceedings of international conferences. He has received the Young Engineer Award from INAE (2018), Young Engineers Award from IEI (2016-17), BIRD Award from Bioclues (2015), Young Scientist Award from ISCA (2013-14), and has won several best paper and best reviewer awards. He has become an INAE Young Associate in 2018 and a Sir Visvesvaraya Young Faculty Research Fellow in 2015-16. He has visited Stanford University, USA and University of Ljubljana, Slovenia for academic purposes. He is a member of IEEE, ACM and AAAI.

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Dr. Pabitra Mitra is currently working as a Professor in the Department of Computer Science and Engineering at Indian Institute of Technology Kharagpur, India. His research interests are in Machine Learning, Data Mining, Pattern Recognition, Information Retrieval, and Image Processing. He received his Ph.D. degree in Computer Science from Indian Statistical Institute, Kolkata. He has several years of experience working in the academia, government, and the private sectors in research, teaching, consulting, project management, and product engineering roles. He has been honoured with many awards from different organizations throughout the world.

Dr. Smarajit Bose is currently a Professor at the Interdisciplinary Statistical Research Unit, Indian Statistical Institute, Kolkata. He received the Bachelor of Statistics (B. Stat.) and Master of Statistics (M. Stat.) degrees from the Indian Statistical Institute, Calcutta in 1984 and 1986 respectively, and the Ph. D. degree from the University of California, Berkeley in 1992, all in Statistics. Between 1991 and 1992, he was a visiting scientist in IBM Almaden Research Center, San Jose where he worked with the Advance Process Monitoring Group. He visited the Statistics Departments of the University of Washington, Seattle during 19921993 and the Ohio State University, Columbus during 19931996 where he worked on classification and clustering problems and their applications in medical imaging and ergonomics. In 1996, he joined the Indian Statistical Institute, Calcutta and now is a Professor in the Applied Statistics Division of the Institute. He has also visited the University of California, Santa Barbara in 2001, and also in 20022003. His current research interests are pattern recognition and its applications in image processing and speaker identification.

Dr. Swagatam Das received the B. E. Tel. E., M. E. Tel. E (Control Engineering specialization) and Ph. D. degrees, all from Jadavpur University, India, in 2003, 2005, and 2009 respectively. Swagatam Das is currently serving as an associate professor at the Electronics and Communication Sciences Unit of the Indian Statistical Institute, Kolkata, India. His research interests include evolutionary computing, pattern recognition, multi-agent systems, and wireless communication. Dr. Das has published more than 300 research articles in peer-reviewed journals and international conferences. He is the founding co-editor-in-chief of Swarm and Evolutionary Computation, an international journal from Elsevier. He has also served as or is serving as the associate editors of the Pattern Recognition (Elsevier), Neurocomputing (Elsevier), Information Sciences (Elsevier), IEEE Trans. on Systems, Man, and Cybernetics: Systems, IEEE Computational Intelligence Magazine, IEEE Access, and so on. He is an editorial board member of Progress in Artificial Intelligence (Springer), Applied Soft Computing (Elsevier), Engineering Applications of Artificial Intelligence (Elsevier), and Artificial Intelligence Review (Springer). Dr. Das has 16,500+ Google Scholar citations and an H-index of 62 till date. He has been associated with the international program committees and organizing committees of several regular international conferences including IEEE CEC, IEEE SSCI, SEAL, GECCO, and SEMCCO. He has acted as guest editors for special issues in journals like IEEE Transactions on Evolutionary Computation and IEEE Transactions on SMC, Part C. He is the recipient of the 2012 Young Engineer Award from the Indian National Academy of Engineering (INAE). He is also the recipient of the 2015 Thomson Reuters Research Excellence India Citation Award as the highest cited researcher from India in Engineering and Computer Science category between 2010 to 2014.

Ujjwal Bhattacharya, an Associate Professor of the Computer Vision and Pattern Recognition (CVPR) Unit of Indian Statistical Institute, Kolkata, India had completed Bachelor of Science (Hons. In Math.) Degree of Calcutta University from Presidency College, Kolkata in 1986. He obtained Master of Science and Master of Philosophy both in Pure Mathematics from Calcutta University in 1989 and 1991 respectively. He did his Post-graduate Diploma in Computer Applications in 1990. He joined the Electronics and Communications Sciences Unit of Indian Statistical Institute, Kolkata as a research scholar in 1991. He did his PhD work on handwritten character recognition of Bangla. Before joining in a scientific position of the Statistics and Mathematics Unit of Indian Statistical Institute in 1997, he worked for a short period in a project on "Automatic Map Understanding" in the CVPR Unit of the same Institute. In the year 1999, he joined again the CVPR Unit in a Lecturer equivalent position and he is currently an Associate Professor of the same Unit. Dr. Bhattacharya is a recipient of National Scholarship (1980, 1982) and ISCA Young Scientist Award (1995). He is a senior member of the IEEE. He is also a life member of the IUPRAI, an Indian Unit affiliated to the International Association for Pattern Recognition (IAPR). The focus of his current research interest is applications of Machine Learning in the areas of Computer Vision, Document Analysis, Online/Offline Handwriting Analysis, etc. Previously, Dr. Bhattacharya worked on the convergence issues of the well-known backpropagation learning algorithm and proposed certain self-adaptive learning rates, which often improves the learning performance of an MLP classifier in various real-life application problems such as texture segmentation, analysis of remote sensing images, recognition of handwritten characters etc. His other research interests include color image analysis, precision agriculture, etc.

Dr. Utpal Garain is currently a Professor at Computer Vision & Pattern Recognition (CVPR) Unit, Indian Statistical Institute, Kolkata. He is also the Coordinator of Centre for Artificial Intelligence and Machine Learning, Indian Statistical Institute, Kolkata. His research areas cover Development of AI Systems, Machine Learning and Deep Learning algorithms for language and vision problems. Professor Garain did his Bachelor and Master's in Computer Science and Engineering from Jadavpur University in 1994 and 1997 and received his PhD degree in Computer Science from Indian Statistical Institute in 2005. He is one of the architects who developed India's first OCR system for reading Bangla and Devanagari script documents. The NLP tools developed by his team are in use worldwide. Prof. Garain has more than one hundred research publications in several internationally renowned journals and conferences in the area of text, image, video and sensor data processing. Along with his academic research, Prof. Garain has been serving as research advisors to several public and private organizations working in the field of data analytics. Professor Garain is recipient of several prestigious awards, to name a few: CNRSEGIDE Post-doctoral fellowship of France (2004), Young Engineer Award from Indian National Academy of Engineering (2006), Research Fellowship from Indo-US Science and Technology Forum (2011) and JSPS Fellowship from Japanese Society for Promotion of Science (2017).

Dr. Kiranmoy Das is currently an Associate Professor in the Applied Statistics Division of Indian Statistical Institute, Kolkata. He has completed his B.Sc. (with honours in Statistics) from University of Calcutta, M.Stat from Indian Statistical Institute, Kolkata, and Ph.D. from Pennsylvania State University, USA. His research interests are in Bayesian semi-parametric methods, Longitudinal data analysis, Biostatistics, Wireless communications, Computational Statistics. He served as an Assistant Professor at Department of Statistics, Temple University, USA (2011-2013), Assistant Professor at Department of Statistics, Presidency University, Kolkata (2013-2014), and Assistant Professor at Indian Statistical Institute, Kolkata (2014-2018). He has published nearly 40 research articles in reputed international journals. He is currently an Associate Fellow of Indian Academy of Sciences (2019-2022) and Associate Fellow of West Bengal Academy of Science and Technology (since 2018).

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