Inhaltsangabe
This book gathers outstanding research papers presented at the 2nd International Conference on Frontiers in Computing and Systems (COMSYS 2021), organized by Department of Electronics and Communication Engineering and Department of Information Technology, North-Eastern Hill University, Shillong, Meghalaya, India held during September 29-October 1, 2021. The book presents the latest research and results in various fields of machine learning, computational intelligence, VLSI, networks and systems, computational biology, and security, making it a rich source of reference material for academia and industry alike.
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Subhadip Basu received his Ph.D. degree from Jadavpur University in 2006 and did his Postdoctoral researches from University of Lowa, USA, in 2010-11 and from University of Warsaw, Poland, during 2012-14. He is a faculty member of the Computer Science and Engineering Department of Jadavpur University since 2006, where he is currently working as a full professor. He is also Honorary Research Scientist in the Department of Electrical and Computer Engineering, University of Lowa, USA, since 2016. He has published around 200 research articles in various international journals, conference proceedings and book chapters in the areas of pattern recognition and related applications, bioinformatics, biomedical image analysis, etc. He has co-edited seven books, co-invented two US patents and guest edited special issues in Briefings in Functional Genomics (OUP) and in Pattern Recognition Letters (Elsevier)). He has served as a technical program committee member and also as an organizing member of several international conferences in India and abroad. He has worked in many international institutes of repute, including Hitachi Central Research Laboratory, Japan, Bournemouth University, UK, University of Lorraine, France, Nencki Institute of Experimental Biology, Poland, etc. He is the recipient of the DAAD Fellowship from Germany, Research Award from UGC, Govt. of India, BOYSCAST, and FASTTRACK Young Scientist Fellowships from DST, Govt. of India, HIVIP Fellowship from Hitachi, Japan, and EMMA Fellowships from the European Union. He is a senior member of IEEE and life member of IUPRAI (Indian Unit for IAPR).
Dipak K. Kole received the Ph.D. degree in Engineering from Bengal Engineering and Science University, which is currently known as IIEST, Shibpur, India, in 2012. He also received an M.Tech. and B. Tech. in Computer Science and Engineering and B.Sc. in Mathematics Honours from Calcutta University. He has approximately 19 years of professional experience. He is a faculty member of the Computer Science and Engineering Department of Jalpaiguri Government Engineering College since 2014, where he is currently working as a full professor. His research interest includes synthesis and testing of reversible circuits, social network analysis, digital watermarking and agriculture engineering. He published more than 61 research articles in various international journals, conference proceedings and book chapters in the areas of VLSI, reversible circuits, social network analysis, agriculture engineering, image and video processing and cryptography.
Arnab Kumar Maji received B.E. degree in Information Science and Engineering from Visvesvaraya Technological University (VTU) in 2003 and M.Tech in Information Technology from Bengal Engineering and Science University, Shibpur (Currently IIEST, Shibpur) in 2005. He received his Ph.D. from Assam University, Silchar (A Central University of India) in the year 2016. He has approximately 17 years of professional experience. He is currently working as Assistant Professor (Stage-3) in the Department of Information Technology, North Eastern Hill University, Shillong (A Central University of India). He has published more than 32 nos. of articles in different reputed International Journals and Conferences, more than 22 nos. of articles as book chapter and authored 02 nos. of books with several international Publishers like Elsevier, Springer, IEEE, MDPI, IGI Global, and McMilan International etc. 04 nos. of PhD scholars are currently pursuing Doctoral Degrees under his active supervision. He has also guided successfully 15 nos. of M.Tech thesis and 03 nos. of Ph.D. scholars. He is also reviewer of several reputed international journals and guest editor of one Springer journal. His Research interests include Machine Learning, Image Processing, and Natural Language Processing.
Dariusz Plewczynski interests are focused on functional and structural genomics. Functional genomic attempts to make use of the vast wealth of data produced by high-throughput genomics projects, such as the structural genomics consortia, human genome project, 1000 genomes project, ENCODE and many others. The major tools that are used in this interdisciplinary research endeavor include statistical data analysis (GWAS studies, clustering, machine learning), genomic variation analysis using diverse data sources (karyotyping, confocal microscopy, aCGH microarrays, next-generation sequencing: both whole genome and whole exome), bioinformatics (protein sequence analysis, protein structure prediction), and finally biophysics (polymer theory and simulations) and genomics (epigenetics, genome domains, three-dimensional structure analysis of chromatin). He is presently involved in several big data informatics projects at Faculty of Mathematics and Information Sciences at Warsaw University of Technology, biological experiments at the Centre of New Technologies at University of Warsaw (his second affiliation), collaborating closely with The Jackson Laboratory for Genomic Medicine (an international partner of the TEAM project), and The Centre for Innovative Research at Medical University of Bialystok (UMB). He was actively participating in two large consortia projects, namely 1000 Genomes Project (NIH) by bioinformatics analysis of genomic data from aCGH arrays and NGS (next-generation sequencing, deep coverage) experiments for structural variants (SV) identification; and biophysical modeling of chromatin three-dimensional conformation inside human cells using HiC and ChIA-PET techniques within the 4D Nucleome project funded by the NIH in the USA. His goal is to combine the SV data with three-dimensional cell nucleus structure for better understanding of normal genomic variation among human populations, the natural selection process duringhuman evolution, mammalian cell differentiation, and finally the origin, pathways, progression and development of cancer and autoimmune diseases.
Debotosh Bhattacharjee is working as a full professor in the Department of Computer Science and Engineering, Jadavpur University, with fifteen years of post-Ph.D. experience. His research interests pertain to the applications of machine learning techniques for face recognition, gait analysis, hand geometry recognition, and diagnostic image analysis. He has authored or co-authored more than 280 journals, conference publications, including several book chapters in the areas of biometrics and medical image processing. Two US patents have been granted on his works. He has been granted sponsored projects by the Govt. of India funding agencies like Department of Biotechnology (DBT), Department of Electronics and Information Technology (DeitY), University Grants Commission (UGC) with a total amount of around INR 2 Crore. For postdoctoral research, he has visited different universities abroad like the University of Twente, The Netherlands; Instituto Superior Técnico, Lisbon, Portugal; University of Bologna, Italy; ITMO National Research University, St. Petersburg, Russia; University of Ljubljana, Slovenia; Northumbria University, Newcastle Upon Tyne, UK, and Heidelberg University, Germany. He is Life Member of Indian Society for Technical Education (ISTE, New Delhi), Indian Unit for Pattern Recognition and Artificial Intelligence (IUPRAI), Senior Member of IEEE (USA) and Fellow of West Bengal Academy of Science and Technology.
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