Anurag Goswami is a Professor at School of CSET at Bennett University, India. With a strong background in Computer Science Engineering and Technology, his research focuses on Empirical Software Engineering, Software Reliability, and Software Quality Improvement. His multidisciplinary approach during his Ph.D. incorporates insights from Cognitive Psychology, Behavioral Science, and biology to address critical issues in Software Engineering. Notably, his work has improved software inspection performance through innovative techniques like eye-tracking and cognitive psychology. His dedication to enhancing software quality and advancing technology has established him as a prominent figure in the academic community. His research primarily focuses on various aspects of fake news detection, deep learning, and neural networks. Dr. Anurag has authored or co-authored several papers in reputable journals, including Multimedia Tools and Applications, IEEE Transactions on Computational Social Systems, Applied Intelligence, Journal of Ambient Intelligence and Humanized Computing, Future Generation Computer Systems, Neural Computing and Applications, and more. His work has been published in quality journals demonstrating the significance and quality of their research. He has received numerous awards and recognitions throughout his career, showcasing his outstanding contributions to the field of Computer Science and Engineering. Dr. Anurag's commitment to excellence and his impressive track record in academia and research make him a standout figure in his field.Vaibhav Anu is an Associate Professor of Computer Science at Montclair State University. He joined Montclair State in Fall 2018. Before joining Montclair State, he received a PhD in Software Engineering from North Dakota State University. Dr. Anu is interested in software development planning, analysis, and management, and particularly in improving software quality by improving the processes and practices involved in software development. The primary focus of Dr. Anu's research is on development and empirical validation of effective methods for verification and validation of software artifacts. He has published more than 50+ research articles in Scopus indexed and reputed journal.Shubhangi Suryawanshi is an accomplished academician and researcher with over 15 years of experience in teaching, research, and academic leadership. She holds a Ph.D. in Computer Science and Engineering with specialization in Artificial Intelligence and Machine Learning from Bennett University, Greater Noida, and a Master’s degree in Computer Engineering from Savitribai Phule Pune University, Pune. Her research interests include Artificial Intelligence, Machine Learning, Deep Learning, Online and Incremental Learning, Concept Drift Adaptation, Time Series Analysis, Natural Language Processing, and AI applications in advanced manufacturing and material informatics. She has contributed significantly to interdisciplinary research, particularly in AI-driven predictive modeling for tribological and manufacturing systems. Dr. Shubhangi has published over 35 research papers in Scopus-indexed journals, including several Q1 and Q2 journals. She serves as a reviewer for reputed international journals. She has also acted as an editor for conference proceedings and chaired international conferences in Business Intelligence, Computational Mathematics, and Data Analytics.Digvijay Bhosale is an accomplished academic and chartered professional with over 15 years of experience in research, industry, and teaching. He holds a Ph.D. in Mechanical Engineering (Machine Learning and Surface Engineering) from Veermata Jijabai Technological Institute (VJTI), Mumbai, India and a Master of Technology (M.Tech.) from Veermata Jijabai Technological Institute (VJTI), Mumbai, India. His research interests span surface engineering, machine learning, tribology, and material processing. Dr. Digvijay has secured funding from multiple organizations to support his research initiatives. A prolific contributor to the academic community, he regularly reviews research papers for surface engineering, tribology, and manufacturing journals. He has built a distinguished career combining teaching and research and is committed to advancing knowledge engineering education through collaborative efforts. He has published more than 40+ papers in reputed journal with an overall citation of 450+.
