Dr  Siddhartha Bhattacharyya

Based in India
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Siddhartha Bhattacharyya

Bio:

Siddhartha Bhattacharyya is currently the Principal of RCC Institute of Information Technology, Kolkata, India. In addition, he is also serving as a Full Professor of Computer Application of the institute. Prior to this, he was a Full 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 did his BS in Physics, B. Tech. and M. Tech. 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 the coveted National Award Adarsh Vidya Saraswati Rashtriya Puraskar for excellence in education and research in 2016. He is the recipient of the Distinguished HoD Award and Distinguished Professor Award conferred by Computer Society of India, Mumbai Chapter, India in 2017. He is the recipient of the coveted Bhartiya Shiksha Ratan Award conferred by Economic Growth Foundation, New Delhi in 2017.  He received the NACF-SCRA, India award for Best Faculty for Research in 2017. He received 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 is a co-author of 4 books and the co-editor of 10 books and has more than 185 research publications in international journals and conference proceedings in avenues such as Elsevier, Springer and ACM. He has published a PCT on intelligent colorimeter technology. He has been the General Chair as well as the member of the organizing and technical program committees of several international conferences. He is the Associate Editor of the International Journal of BioInfo Soft Computing since 2013. He was the Lead Guest Editor of the Special Issue on Hybrid Intelligent Techniques for Image Analysis and Understanding of Applied Soft Computing, Elsevier, B. V.  He was the Lead Guest Editor of the Special Issue on Computational Intelligence and Communications in International Journal of Computers and Applications (IJCA); Publisher: Taylor & Francis, UK in 2016. He is the Editor of International Journal of Pattern Recognition Research since January 2016 and the founding Editor in Chief of International Journal of Hybrid Intelligence; Publisher: Inderscience.  He is the member of the editorial board of Applied Soft Computing, Elsevier, B. V. He is serving as the Series Editor of the IGI Global Book Series Advances in Information Quality and Management (AIQM) from January 01, 2017. He is also Series Editor of the De Gruyter Book Series Frontiers in Computational Intelligence (FCI) from April 27, 2017.

His research interests include soft computing, pattern recognition, multimedia data processing, hybrid intelligence and quantum computing. Siddhartha is a fellow of IETE, India. He is also a senior member of IEEE, IETI, and ACM. He is a member of IET, IAENG, CSTA, IAASSE, IDES and ISSIP. He is a life member of CSI, OSI, ISTE and CEGR.

 

 

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  • 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...
  • Quantum Inspired Automatic Image Clustering
    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...
  • 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...

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