Computer Vision and Robotics

Dr. Jagdish Chand Bansal is an Associate Professor at South Asian University New Delhi and Visiting Faculty at Maths and Computer Science, Liverpool Hope University UK. Dr. Bansal has obtained his Ph.D. in Mathematics from IIT Roorkee. Before joining SAU New Delhi he has worked as an Assistant Professor at ABV- Indian Institute of Information Technology and Management Gwalior and BITS Pilani. His Primary area of interest is Swarm Intelligence and Nature Inspired Optimization Techniques. Recently, he proposed a fission-fusion social structure based optimization algorithm, Spider Monkey Optimization (SMO), which is being applied to various problems from the engineering domain. He has published more than 70 research papers in various international journals/conferences. He is the editor in chief of the journal MethodsX published by Elsevier. He is the series editor of the book series Algorithms for Intelligent Systems (AIS) and Studies in Autonomic, Data-driven and Industrial Computing (SADIC) published by Springer. He is the editor in chief of International Journal of Swarm Intelligence (IJSI) published by Inderscience. He is also the Associate Editor of IEEE ACESSS published by IEEE and ARRAY published by Elsevier. He is the general secretary of the Soft Computing Research Society (SCRS). He has also received Gold Medal at UG and PG level. Professor Andries Engelbrecht received the Masters and Ph.D. degrees in Computer Science from the University of Stellenbosch, South Africa, in 1994 and 1999, respectively. He is currently appointed as Voigt Chair in Data Science in the Department of Industrial Engineering, with a joint appointment as Professor in the Computer Science Division, Stellenbosch University. Prior to his appointment at Stellenbosch University, he has been at the University of Pretoria, Department of Computer Science (1998–2018), where he was appointed as South Africa Research Chair inArtificial Intelligence (2007–2018), Head of the Department of Computer Science (2008–2017), and Director of the Institute for Big Data and Data Science (2017–2018).In addition to a number of research articles, he has written two books, Computational Intelligence: An Introduction and Fundamentals of Computational Swarm Intelligence. Professor Praveen Kumar Shukla is presently working as Professor and Head in the department of Computer Science & Engineering, Babu Banarasi Das University, Lucknow. He holds Ph.D. in Computer Science & Engineering from Dr. A P J Abdul Kalam Technical University, Lucknow. He completed B.Tech. in Information Technology and M.Tech. in Computer Science & Engineering. His research area includes fuzzy systems (Interval Type-2 Fuzzy Systems and Type-2 Fuzzy Systems), evolutionary algorithms (genetic algorithms), genetic fuzzy systems, multi-objective optimization using evolutionary algorithms, big data analytics, and Internet of Things. He has published many papers in National Conferences, International Conferences, and International Journals. He has also published a book “Introduction to Information Security and Cyber Laws” in 2014 with Dreamtech Publishers and published a patent on “Social Media based Framework for Community Mobilisation during and post Pandemic” in 2021. He completed one Research Project on “Particle Swarm Optimization Based Electric Load Forecasting” sponsored by Dr. APJ Abdul Kalam Technical University under TEQIP-III scheme. He is Member of IEEE (Computational Intelligence Society), USA, International Association of Computer Science and Information Technology (IACSIT), Singapore, International Association of Engineers (IAENG), Hong Kong, Society of Digital Information and Wireless Communications (SDIWC), Institutions of Engineers, India, and Soft Computing Research Society (SCRS), India.

AI Techniques for Swedish Leaf Classification.- Designing a Recommender System for Articles using Implicit Feedback.- Personality Prediction based on Twitter Tweets.- Music Therapy for Mood Transformation based on Deep Learning Framework.- Rice Crop Diseases and Pest Detection using Edge Detec-tion Techniques and Convolution Neural Network.- Spatial Analyses of Cyclone Amphan Induced Flood Inundation Mapping Using Sentinel-1A SAR Images Through GEE Cloud.- Classification through Data Mining Algorithm.- Early Detection of Diabetic Retinopathy using Multimodal Approach.- Intelligent Techniques for Crowd Detection And People Counting- A Systematic_Study.- Twitter Sentiment Analysis of Public Opinion on COVID-19 Vaccines.