Proceedings of International Conference on Data, Electronics and Computing

Nibaran Das received his B.Tech. in Computer Science and Technology from Kalyani University, M.C.S.E. and Ph.D. (Engineering) degrees from Jadavpur University in 2003, 2005, and 2012, respectively. He joined in Computer Science and Engineering Department of Jadavpur University in 2006. Dr. Das has published more than 140 research articles in various international journals, conference proceedings, and chapters in the areas of pattern recognition and image analysis using different machine learning and deep learning techniques. He has co-authored three books. He has supervised around 40 Master degree students till date. He is supervising six Ph.D. students at present in the field of medical and document image processing.  He has successfully completed five different projects as a principal Investigator. He has also worked as a co-supervisor in three different projects. He has been a member of the advisory/program/organizing committees of different reputed International conferences and workshops Juwesh Binong is an assistant professor at the Department of Electronics & Communication Engineering (ECE) in the North-Eastern Hill University (NEHU), Shillong, India. He received his Bachelor of Engineering (B.E.) degree in Electronics & Communication Engineering from the Bhavanagar University, Gujarat, India, in 1999; M.Sc. in Information Technology from the Sikkim Manipal University in 2007, and Ph.D. in Computer Science & Engineering from the Tezpur University, Tezpur, Assam, India, in 2017. His research interests are in the areas of artificial intelligence and its applications. Ondrej Krejcar is a full professor in systems engineering and informatics at the University of Hradec Kralove, Faculty of Informatics and Management, Center for Basic and Applied Research, Czech Republic, and a research fellow at Malaysia-Japan International Institute of Technology, University Technology Malaysia, Kuala Lumpur, Malaysia. In2008 he received his Ph.D. title in technical cybernetics at Technical University of Ostrava, Czech Republic. He is currently a vice-rector for science and creative activities of the University of Hradec Kralove from June 2020. At present, he is also a director of the Center for Basic and Applied Research at the University of Hradec Kralove. In years 2016–2020, he was the vice-dean for science and research at Faculty of Informatics and Management, UHK. His h-index is 21, with more than 1800 citations received in the Web of Science, where more than 120 IF journal articles are indexed in JCR index. In 2018, he was the 14th top peer reviewer in Multidisciplinary in the World according to Publons and a top reviewer in the Global Peer Review Awards 2019 by Publons. Currently, he is on the editorial board of the MDPI Sensors IF journal (Q1/Q2 at JCR) and several other ESCI indexed journals. He is a vice-leader and Management Committee member at WG4 at project COST CA17136, since 2018. He hasalso been a Management Committee member substitute at project COST CA16226 since 2017. Since 2019, he has been the chairman of the Program Committee of the KAPPA Program, Technological Agency of the Czech Republic as a regulator of the EEA/Norwegian Financial Mechanism in the Czech Republic (2019-2024). Since 2020, he has been the chairman of the Panel 1 (Computer, Physical, and Chemical Sciences) of the ZETA Program, Technological Agency of the Czech Republic. Since 2014 until 2019, he has been the deputy chairman of the Panel 7 (Processing Industry, Robotics, and Electrical Engineering) of the Epsilon Program, Technological Agency of the Czech Republic. At the University of Hradec Kralove, he is a guarantee of the doctoral study program in Applied Informatics, where he is focusing on lecturing on Smart Approaches to the Development of Information Systems and Applications in Ubiquitous Computing Environments. His research interests include control systems, smart sensors, ubiquitous computing, manufacturing, wireless technology, portable devices, biomedicine, image segmentation and recognition, biometrics, technical cybernetics, and ubiquitous computing. His second area of interest is in biomedicine (image analysis), as well as biotelemetric system architecture (portable device architecture, wireless biosensors), development of applications for mobile devices with use of remote or embedded biomedical sensors. Debotosh Bhattacharjee is working as a full professor in the Department of Computer Science and Engineering, Jadavpur University, with sixteen 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 312 journals, conference publications, including several chapters in the areas of biometrics and medical image processing.  Two US patents have beengranted on his works. Prof. Bhattacharjee has been granted sponsored projects by the Govt. of India funding agencies like Department of Biotechnology (DBT), Department of Electronics and Information Technology (DeitY), and University Grants Commission(UGC) with a total amount of around INR 3 Crore. For postdoctoral research, Dr. Bhattacharjee 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 a life member of Indian Society for Technical Education (ISTE, New Delhi), Indian Unit for Pattern Recognition and Artificial Intelligence (IUPRAI), a senior member of IEEE (USA), and a fellow of West Bengal Academy of Science and Technology.

• Correlation Analysis of Stock Index Data Features using Sequential Rule Mining Algorithms.- A CRF-based POS tagging approach for Bishnupriya Manipuri language​.- Text and Language independent classification of voice calling platforms using deep learning.- IFS: An Incremental Feature Selection Method to Classify High Dimensional Data.- Computer-Aided Identification of Loom Type of ethnic textile, the Gamusa, using Texture features and Random Forest Classifier.