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 forPDGC-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. He 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. Chaman Verma is an Assistant Professor at the Department of Media and Educational Informatics, Faculty of Informatics, Eötvös LorándUniversity, Hungary. He has completed his Ph.D. Informatics from Doctoral School of Informatics, Eötvös Loránd University, Hungary, with Stipendium Hunagricum scholarship funded by Tempus Public Foundation, Government of Hungary. During his Ph.D., he won the EFOP Scholarship, Co-founded by the European Union Social Fund and the Government of Hungary, as a professional research assistant in a Real-Time System for 2018-2021. He also received the Stipendium Hungaricum Dissertation Scholarship of Tempus Public Foundation, Government of Hungary, in 2021-22. He has been awarded several Erasmus scholarships for conducting international research and academic collaboration with European and non-European universities. He also received the best scientific publication awards from the Faculty of Informatics, Eötvös Loránd University, Budapest, Hungary, in the years 2021,2022, and 2023. He has also been awarded ÚNKP Scholarship for research by the Ministry of Innovation and Technology and the National Research, Development and Innovation (NRDI) Fund, Government of Hungary, in 2020-2021 and 2022-2023. He has around ten years of experience in teaching and industry. He has over 100 scientific publications in the IEEE, Elsevier, Springer, IOP Science, MDPI, and Walter de Gruyter. His research interests include data analytics, IoT, feature engineering, real-time systems, and educational informatics. He is a member of the Editorial Board and a reviewer of various international journals and scientific conferences. He was the leading Guest Editor of the Special Issue "Advancement in Machine Learning and Applications" in Mathematics, IF–2.25, MDPI, Basel, Switzerland, in 2022. He is co-editor in the series of conference proceedings of ICRIC-2021 and ICRIC-2022 published by Springer, Singapore. He is a life member of ISTE, New Delhi, India. He reviews many scientific journals, including IEEE, Springer, Elsevier, Wiley, and MDPI. He has Scopus citations of 615 with an H-index of 15. He hasWeb of Science citations 81 with an H-index of 8.Dr. Illés Zoltán, Ph.D., Habil., has started higher education studies in Mathematics and Physics at Eötvös Loránd University. He later took up the Computer Science supplementary course, which was started at that time. He got a Hungarian’s Republic scholarship based on his outstanding academic achievements during his university studies. He graduated in 1985, after which he started working at the Department of Computer Science of Eötvös Loránd University. He completed his Ph.D. dissertation entitled “Implementation of Real-Time Measurements for High-Energy Ion Radiations” in 2001. In 2004, at the request of Jedlik Publisher, he also wrote a textbook on the C# programming language. This book has a second, expanded edition in 2008. In 2007, he was awarded a scholarship by the Slovak Academy of Sciences, where he spent six months in researching and teaching at the Constantine the Philosopher University in Nitra. The NJSZT awarded the Rezső Tarján Prize in 2016 for the success of the joint work that has been going on ever since. He and his colleagues also researched the issue of mobile devices and applications in the framework of a TéT_SK tender won in 2014. Based on their research findings, he launched a pilot project to support real-time, innovative performance management. The first results of this research are an integral part of his habilitation dissertation. He has been an invited speaker at several international conferences and a member of the Amity University Advisory Board since 2020.Prof (Dr.) Jitender Kumar Chhabra is a professor, Computer Engineering Department at National Institute of Technology, Kurukshetra, India. He has published 120 papers in reputed International and National Journals and conferences including more than 40 publications from IEEE, ACM, Elsevier, and Springer, most of which are SCI/Scopus indexed. His research interest includes Software Metrics, Data Mining, Soft Computing, Machine Learning, Algorithms, and related areas. He is a reviewer for most reputed journals such as IEEE Transactions, ACM Transactions, Elsevier, Wiley, and Springer. He has Google Scholar citations 1122, H-index 16, and i-10 index 24. Dr. Pradeep Kumar Singh is currently working as a professor and head in the department of CS at KIET Group of Institutions, Delhi-NCR, Ghaziabad, Uttar Pradesh, India. Dr. Singh is a senior member of Computer Society of India (CSI), IEEE, and ACM and a life member. He is an associate editor of the International Journal of Information System Modeling and Design (IJISMD), Indexed by Scopus and Web of Science. He is also an associate editor of International Journal of Applied Evolutionary Computation (IJAEC), IGI Global USA, Security and Privacy, and Wiley. He has received three sponsored research project grants from Govt. of India and Govt. of HP worth Rs 25 Lakhs. He has edited a total of 12 booksfrom 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 Scenarios from Springer has reached more than 12000 downloads in the last few months. Recently, Dr. Singh has been nominated as a section editor for Discover IoT, a Springer Journal.

• A Three Machine Flow Shop Scheduling Problem with Set up and Machine Specific Halting Times.- Clinical Named Entity Recognition Using U-Net Classification Model.- Neural Machine Translation from English to Marathi Using Various Techniques.- Review of Cardiovascular Disease Prediction Based on Machine Learning Algorithms.- Exploiting Parts of Speech in Bangla to English Machine Translation Evaluation.- Artificial Intelligence and Block Chain Technology in Insurance Business.- Classification & Detection of Acoustic Scene and Event using Deep Neural Network.- Analysis of A Novel Integrated Machine Learning Model for Yield and Weather Prediction: Punjab vs Maharashtra.- Machine Learning Techniques for Result Prediction of One Day International (ODI) Cricket Match.- Recommendation System Using Neural Collaborative Filtering and Deep Learning.- The Importance of Selected LMS Logs Pre-processing Tasks on the Performance Metrics of Classification Models.- Analysis of Deep Pre-trained Models for Computer Vision Applications: Dog Breed Classification.- An Efficient Recognition and Classification System for Paddy Leaf Disease Using Naïve Bayes with Optimization Algorithm.- Development of Decision Making Prediction Model for Loan Eligibility Using Supervised Machine Learning.- Prediction of Osteoporosis using Artificial Intelligence Techniques: A Review.