Siddhartha Bhattacharyya
2021-2023 Distinguished Visitor


Dr. Siddhartha Bhattacharyya did his Bachelors in Physics, Bachelors in Optics and Optoelectronics and Masters in Optics and Optoelectronics from University of Calcutta, India in 1995, 1998 and 2000 respectively. He completed PhD in Computer Science and Engineering from Jadavpur University, India in 2008. He is the recipient of the University Gold Medal from the University of Calcutta for his Masters. He is the recipient of several coveted awards including the Distinguished HoD Award and Distinguished Professor Award conferred by Computer Society of India, Mumbai Chapter, India in 2017, the Honorary Doctorate Award (D. Litt.) from The University of South America and the South East Asian Regional Computing Confederation (SEARCC) International Digital Award ICT Educator of the Year in 2017. He has been appointed as the ACM Distinguished Speaker for the tenure 2018-2020. He has been inducted into the People of ACM hall of fame by ACM, USA in 2020.

He is currently the Principal of Rajnagar Mahavidyalaya, Birbhum, India. Before this, he served as a Professor in the Department of Computer Science and Engineering of Christ University, Bangalore. He served as the Principal of RCC Institute of Information Technology, Kolkata, India during 2017-2019. He has also served as a Senior Research Scientist in the Faculty of Electrical Engineering and Computer Science of VSB Technical University of Ostrava, Czech Republic (2018-2019). Prior to this, he was the Professor of Information Technology of RCC Institute of Information Technology, Kolkata, India. He served as the Head of the Department from March, 2014 to December, 2016. Prior to this, he was an Associate Professor of Information Technology of RCC Institute of Information Technology, Kolkata, India from 2011-2014. Before that, he served as an Assistant Professor in Computer Science and Information Technology of University Institute of Technology, The University of Burdwan, India from 2005-2011. He was a Lecturer in Information Technology of Kalyani Government Engineering College, India during 2001-2005. He is a co-author of 5 books and the co-editor of 75 books and has more than 300 research publications in international journals and conference proceedings to his credit. He has got two PCTs to his credit. He has been the member of the organizing and technical program committees of several national and international conferences. He is the founding Chair of ICCICN 2014, ICRCICN (2015, 2016, 2017, 2018), ISSIP (2017, 2018) (Kolkata, India). He was the General Chair of several international conferences like WCNSSP 2016 (Chiang Mai, Thailand), ICACCP (2017, 2019) (Sikkim, India) and (ICICC 2018 (New Delhi, India) and ICICC 2019 (Ostrava, Czech Republic).

He is the Associate Editor of several reputed journals including Applied Soft Computing, IEEE Access, Evolutionary Intelligence and IET Quantum Communications. He is the editor of International Journal of Pattern Recognition Research and the founding Editor in Chief of International Journal of Hybrid Intelligence, Inderscience. He has guest edited several issues with several international journals. He is serving as the Series Editor of IGI Global Book Series Advances in Information Quality and Management (AIQM), De Gruyter Book Series Frontiers in Computational Intelligence (FCI), CRC Press Book Series(s) Computational Intelligence and Applications & Quantum Machine Intelligence, Wiley Book Series Intelligent Signal and Data Processing, Elsevier Book Series Hybrid Computational Intelligence for Pattern Analysis and Understanding and Springer Tracts on Human Centered Computing.

His research interests include hybrid intelligence, pattern recognition, multimedia data processing, social networks and quantum computing.

Dr. Bhattacharyya is a life fellow of Optical Society of India (OSI), India, life fellow of International Society of Research and Development (ISRD), UK, a fellow of Institution of Engineering and Technology, UK, a fellow of Institute of Electronics and Telecommunication Engineers (IETE), India and a fellow of Institution of Engineers (IEI), India. He is also a senior member of Institute of Electrical and Electronics Engineers (IEEE), USA, International Institute of Engineering and Technology (IETI), Hong Kong and Association for Computing Machinery (ACM), USA. He is a life member of Cryptology Research Society of India (CRSI), Computer Society of India (CSI), Indian Society for Technical Education (ISTE), Indian Unit for Pattern Recognition and Artificial Intelligence (IUPRAI), Center for Education Growth and Research (CEGR), Integrated Chambers of Commerce and Industry (ICCI), and Association of Leaders and Industries (ALI). He is a member of Institution of Engineering and Technology (IET), UK, International Rough Set Society, International Association for Engineers (IAENG), Hong Kong, Computer Science Teachers Association (CSTA), USA, International Association of Academicians, Scholars, Scientists and Engineers (IAASSE), USA, Institute of Doctors Engineers and Scientists (IDES), India, The International Society of Service Innovation Professionals (ISSIP) and The Society of Digital Information and Wireless Communications (SDIWC). He is also a certified Chartered Engineer of Institution of Engineers (IEI), India. He is on the Board of Directors of International Institute of Engineering and Technology (IETI), Hong Kong.

Department of Computer Science and Engineering, CHRIST (Deemed to be University), Bangalore


DVP term expires December 2023


Understanding Quantum Backpropagation

Backpropagation techniques are widely used in neural networks for the purpose of weight adjustment and system error compensation. The lecture discusses the basics of backpropagation algorithm with reference to a multilayer neural network. In addition, quantum backpropagation is introduced with reference to quantum mechanical principles. Applications of the quantum backpropagation technique are also demonstrated.

The key topics to be discussed in this lecture include Fundamentals of Multilayer Neural Networks, Backpropagation Algorithm, Quantum Computing Fundamentals, Quantum backpropagation.


Quantum Entanglement and the W State

Quantum Computing promises to be the computing of the future. Quantum entanglement is the property which generally gives rise to non-local interaction among bipartite correlated states. These properties have some profound implications. In this lecture, I discuss the essence of quantum entanglement with reference to the W state. Finally applications of W state are also highlighted.

The key topics to be discussed in this lecture include Quantum Computing Fundamentals, Quantum Entanglement, W State, Teleportation


Automatic Image Clustering with Multilevel Quantum Systems

Cluster analysis is a popular technique whose aim is to segregate a set of data points into groups, called clusters where the number of clusters are predefined. Automatic determination of the optimum number of clusters from a dataset is a challenging proposition in the computer vision community. Different metaheuristics are widely used for solving complex optimization problems. In this lecture, the use of the Multilevel Quantum Logic and metaheuristic techniques is explored to design Quantum Metaheuristics, which can be applied to compute optimum number of clusters in a dataset, to obviate human intervention.

The key topics to be discussed in this lecture include Clustering Fundamentals, Quantum Computing Fundamentals, Metaheuristics, Quantum Inspired Metaheuristics, t-test.


  • Understanding Quantum Backpropagation
  • Quantum Entanglement and the W State
  • Automatic Image Clustering with Multilevel Quantum Systems

Read the abstracts for each of these presentations