Quantum Inspired Computational Intelligence

1. Quantum Neural Computation of Entanglement is Robust to Noise and Decoherence2. Quantum Computing and Supervised Machine Learning: Training, Model Selection and Error Estimation3. Field Computation: A Framework for Quantum Inspired Computing4. Design of Cellular Quantum-inspired Evolutionary Algorithm with Random Topologies5. An Efficient Pure Color Image Denoising using Quantum Parallel Bi-Directional Self-Organizing Neural Network Architecture6. Quantum Inspired Multi-objective SA for Bi-level Image Thresholding7. Quantum Inspired Computational Intelligent Techniques in Image Segmentation8. Fuzzy Evaluated Quantum Cellular Automata Approach for Watershed Image Analysis9. Quantum Inspired Evolutionary Algorithm for Scaling Factors Optimization during Manifold Medical Information Embedding10. Digital Filter Design using Quantum Inspired Multi-Objective Cat Swarm Optimization Algorithm11. A Novel Graph Clustering Algorithm Based On Discrete Time Quantum Random Walk12. Schrodinger equation as an inspiration for client portfolio simulation hybrid system based on dynamic Bayesian networks and REFII model13. A Quantum Inspired Hybrid Intelligent Position Monitoring System in Wireless Networks

Siddhartha Bhattacharyya is currently the principal of Rajnagar Mahavidyalaya, Birbhum, India. He was a professor at CHRIST (Deemed to be University), Bangalore, India, and also served as the Principal of RCC Institute of Information Technology, Kolkata, India. He has served VSB Technical University of Ostrava, Czech Republic as a Senior Research Scientist. He is the recipient of several coveted national and international awards. He received the Honorary Doctorate Award (D. Litt.) from the University of South America and the SEARCC International Digital Award ICT Educator of the Year in 2017. He was appointed as the ACM Distinguished Speaker for the tenure 2018-2020. He has been appointed as the IEEE Computer Society Distinguished Visitor for the tenure 2021-2023. He has co-authored six books, co-edited 75 books, and has more than 300 research publications in international journals and conference proceedings to his credit. Dr. Ujjwal Maulik is a Professor in the Department of Computer Science and Engineering, Jadavpur University, Kolkata, India since 2004. He is co-author of seven books for Springer and Wiley, more than 250 research publications, and Associate Editor of IEEE Transaction on Fuzzy Systems and Information Sciences. His research interests include computational intelligence, bioinformatics, combinatorial optimization, pattern recognition, and data mining. Dr. Paramartha Dutta did his Bachelors and Masters in Statistics from the Indian Statistical Institute, Calcutta in the years 1988 and 1990 respectively. He afterwards completed his Master of Technology in Computer science from the same Institute in the year 1993 and Doctor of Philosophy in Engineering from the Bengal Engineering and Science University, Shibpur in 2005 respectively. He has served in the capacity of research personnel in various projects funded by Govt. of India, which include DRDO, CSIR, Indian Statistical Institute, Calcutta etc. Dr. Dutta is now a Professor in the Department of