Dr. Yashwant Singh is a Professor & Head of the Department of Computer Science & Information Technology at the Central University of Jammu where he has been a faculty member since 2017. Prior to this, he was at the Jaypee University of Information Technology for 10 Years.Yashwant completed his Ph.D. from Himachal Pradesh University Shimla, his Post Graduate study from Punjab Engineering College Chandigarh, and his undergraduate studies from SLIET Longowal. His research interests lie in the area of Internet of Things, Vulnerability Assessment of IoT and Embedded Devices, Wireless Sensor Networks, Secure and Energy Efficient Routing, ICS/SCADA Cyber Security, ranging from theory to design to implementation. He has collaborated actively with researchers in several other disciplines of computer science, particularly Machine Learning, Electrical Engineering.Yashwant has served on Thirty International Conference and Workshop Program Committees and served as the General Chair for PDGC-2014, ICRIC-2018, ICRIC-2019, ICRIC-2020, and ICRIC-2021. He currently serves as coordinator of Kalam Centre for Science and Technology (KCST), Computational Systems Security Vertical at Central University of Jammu established by DRDO.Yashwant has published more than 100 Research Papers in International Journals, International Conferences, and Book Chapters of repute that are indexed in SCI and SCOPUS. He has 860 Citations, i10-index 27 and h-index 16. He has Research Projects of worth Rs.1040.9413 Lakhs in his credit from DRDO and Rs. 12.19 Lakhs from NCW. He has guided 4 Ph.D., 24 M.Tech. students and guiding 4 PhDs and 5 M.Tech.Dr Yashwant Has visited 8 countries for his academic visits e.g. U.K., Germany, Poland, Chez Republic, Hungary, Slovakia, Austria, Romania. He is Visiting Professor at Jan Wyzykowski University, Polkowice, Poland.Dr. Pradeep Kumar Singh is currently working as Professor and Head in the Department of CS atKIET Group of Institutions, Delhi-NCR, Ghaziabad, Uttar Pradesh, India. Dr. Singh is Senior Member of Computer Society of India (CSI), IEEE, ACM, and Life Member. He is Associate Editor of the International Journal of Information System Modeling and Design (IJISMD), Indexed by Scopus and Web of Science. He is also Associate Editor of International Journal of Applied Evolutionary Computation (IJAEC), IGI Global USA, Security and Privacy, Wiley. He has received three sponsored research projects grant from Govt. of India and Govt. of HP worth Rs. 25 Lakhs. He has edited a total 12 books from Springer and Elsevier. He has Google Scholar citations 1600, H-index 20, and i-10 Index 49. His recently published book titled Handbook of Wireless Sensor Networks: Issues and Challenges in Current Scenario’s from Springer has reached more than 12000 downloads in last few months. Recently, Dr. Singh has been nominated as Section Editor for Discover IoT, a Springer Journal.Dr. Maheshkumar H.Kolekar is working as Associate Professor in Department of Electrical Engineering at Indian Institute of Technology Patna, India. He received the Ph.D. degree in Electronics and Electrical Communication Engineering from the Indian Institute of Technology Kharagpur in 2007. During 2008 to 2009, he was Postdoctoral Research Fellow with the Department of Computer Science, University of Missouri, Columbia, USA. During May to July 2017, he worked as DAAD Fellow in Technical University Berlin where he worked in the research area EEG signal analysis using machine learning. His research interests are in the area of digital signal, image and video processing, video surveillance, biomedical signal processing, and deep learning. Recently, he has authored a book titled as “Intelligent Video Surveillance Systems: An Algorithmic Approach”, CRC Press, Taylor and Francis Group, 2018. He has successfully completed R&D Project Sponsored by Principal Scientific Advisor to Govt. of India on abnormal human activity recognition.Prof. Arpan Kumar Kar is Amar S Gupta Chair Professor in Data and Decision Science in Indian Institute of Technology Delhi, India, where he shares a joint appointment between Department of Management Studies and School of Artificial Intelligence. His research interests are in the interface of data science, machine learning, digital transformation, internet platforms and public policy. He has authored over 200 peer reviewed articles and edited 9 research monographs. He is the Editor in Chief of International Journal of Information Management Data Insights, published by Elsevier. He is also Associate Editor in multiple other established journals. He has undertaken over 40 research, consulting and training projects with funds generated over Rs. 20 Crore. He received the Research Excellence Award by Clarivate Analytics for highest individual Web of Science citations from 2015-2020 in India. He received the Basant Kumar Birla Distinguished Researcher Award for the count of ABDC A*/ABS 4 level publications in India between 2014 – 2019. He is also the recipient of the Best Seller Award from Ivey Cases / Harvard Business Publishing in 2020 for his case study on social media analytics. He has received over 20 other national and international awards from reputed organizations like 3 IFIP Best Paper Awards, ACM ICEGOV Best Paper Award, Tata Consultancy Services Gold Medal for Research, Project Management Institute Research Advocacy Award, AIMS JL Batra Research Award, IIT Delhi Teaching Excellence Award, 6 Outstanding Reviewer Awards from Elsevier and many more best paper awards. Prior to joining IIT Delhi, he has worked in IIM Rohtak, Cognizant Business Consulting and IBM India Research Laboratory. He completed his Graduation in Engineering from Jadavpur University and Doctorate from XLRI Jamshedpur.Dr. Paulo J. Sequeira Gonçalves is Associate Professor of Electrotechnical and Industrial Engineering with the School of Technology in the Polytechnic Institute of Castelo Branco, Portugal. He is also Senior Researcher at IDMEC, Instituto Superior Técnico, University of Lisbon, Portugal. Dr. Gonçalves was trained in Mechanical Engineering, achieving the M.Sc. and Ph.D. degrees from Instituto Superior Técnico, University of Lisbon, 1998 and 2005, respectively. He presented more than 100 paper in renowned journal and conferences in robotics, vision, and computational intelligence. He serves as Co-Chair of the IEEE-RAS Portuguese chapter. He served as Chair of the IEEE-CIS Portuguese chapter and was Officer of the IEEE RAS working group who developed the first RAS standard and one of the first ontology-based IEEE standards. He received several scientific awards both national and international. He organized and chaired several international conferences and edited its proceedings and organized several workshops in top-tier robotic IEEE conferences, e.g., ICRA, IROS, and ROMAN. He was invited Visiting Professor in European Universities, in the field of robotics. Currently, he is Chair of the IEEE P1872.3—Standard for Ontology Reasoning on Multiple Robots and actively works in other IEEE standards working groups within robotics and automation. He received funding for his research projects, in Principal Investigator and/or Researcher, from the EU, IEEE, private companies, and the Portuguese National Research Funding Agency. He works as Regular Expert for the European Commission and for the National Accreditation of University Study Programs. Dr. Paulo J. Sequeira Gonçalves research keywords include computational intelligence, ontologies, robotics, computer vision, and industrial automation.

• Brain Tumor Segmentation Using Fully Convolution Neural Network.- Artificial Intelligence Based Lung Nodule Detection: A Survey.- Correlative Exposition of Various Machine Learning techniques for Urdu Handwritten Text Recognition.- Artificial Intelligence and Graph Theory Application for Diagnosis of Neurological Disorder Using fMRI.- Performance Analysis of Document Similarity Based DBSCAN and K-Means Clustering on Text Datasets.- Evolution of Autonomous Vehicle: An Artificial Intelligence Perspective.- Systematic Review of Learning Models for Suicidal Ideation on Social Media.- A Novel Recommendation System for Mutual Management on both OTT Video Streaming and Advertising Using Incremental Learning Approach.- Early Diagnosis of Cervical Cancer using AI: A Review.- Exploring Data-Driven Approaches for Apple Disease Prediction Systems.- Deep Learning Techniques used for Fake News Detection: A Review and Analysis.- Darkness Behind the Darknet: A Comparative Analysis of Darknet Traffic and the Crimes Behind the Darknet Using Machine Learning.- Development of Chatbot Retrieving Fact-Based Information Using Knowledge Graph.- Short-Term Load demand Forecasting using Artificial Neural Network.- Comparative Analysis of Performances of Convolutional Neural Networks for Image Classification Tasks.