Dr. Syed Muzamil Basha is a distinguished professor at the REVA University, Bangalore, and Karnataka, India. He completed his postgraduate degree in Computer Science from the Vellore Institute of Technology at Vellore in 2011 and his Ph.D. in Sentiment Analysis from the Vellore Institute of Technology at Vellore in 2020. He has published more than 65 papers in refereed conferences and journals and has applied for or been granted more than 10 patents. Syed Muzamil Basha is doing his research in text analytics. The objective of his research is to address the challenges being faced in deriving critical knowledge in effective decision making. The area of interest is sentiment analysis, wireless sensor network, and Internet of Things (IOT).Dr. Hamed Taherdoost is an award-winning leader and research and development professional. He is the founder of Hamta Group | Hamta Business Solution and associate professor and chair of Research and Scholarly Activities Committee at University Canada West. He has over 20 years of experience in both industry and academic sectors. Hamed has been an active multidisciplinary researcher and R&D specialist involved in several academic and industrial research projects. He has been working with researchers from various disciplines and has been actively engaged in different research studies.Dr. Nebojsa Bacanin received his Ph.D. degrees from Faculty of Mathematics, University of Belgrade in 2015 (study program Computer Science, average grade 10,00). He was the vice-dean of the Graduate School of Computer Science and faculty of Informatics and Computing in Belgrade, Serbia. He currently works as a full professor and as a vice-rector for Scientific Research at Singidunum University. He is involved in scientific research in the field of computer science and his specialty includes artificial intelligence, machine learning, deep learning, stochastic optimization algorithms, swarm intelligence, soft-computing, optimization and modeling, image processing, computer vision and cloud and distributed computing. He actively works in the domain of novel and prospective research field, hybrid methods between machine learning and metaheuristics, where metaheuristics are applied for addressing non-deterministic polynomial hard (NP-hard) challenges from machine learning domain such as hyper-parameters optimization (tuning), training and feature selection.
