Data Mining and Information Security

Dr. Soumi Dutta is Associate Professor at Sister Nivedita University (SNU) at New Town, Kolkata, India. She has completed her Ph.D. (CST), IIEST, Shibpur. She received her B.Tech. (IT) and M.Tech. (CSE) securing 1st position (Gold Medalist), from MAKAUT. She is certified as Publons Academy Peer Reviewer, 2020, and Certified Microsoft Innovative Educator, 2020. Her research interests are data mining, information retrieval, online social media analysis, and image processing. She has published more than 40 conference and journal papers in Springer, IEEE, IGI Global, Taylor & Francis, etc. She is Peer Reviewer and TPC Member in different international journals. She is Active Member of several technical functional bodies such as ACM, IEEE, IFERP, MACUL, SDIWC, Internet Society, ICSES, ASR, AIDASCO, USERN, IRAN, and IAENG. She has published 8 patents and 1 copyright. Dr. Soumi Dutta has delivered 37 keynote talks in different international conferences.Dr. Abhishek Bhattacharya is Associate Professor at Sister Nivedita University, India. He has completed his Ph.D. (CSE), BIT, Mesra. He is certified as Publons Academy Peer Reviewer, 2020. His research interests are data mining, cyber security, and mobile computing. He has published 55 conference and journal papers in Springer, IEEE, IGI Global, Taylor & Francis, etc. He has 3 book chapters in Taylor & Francis Group EAI. He is Peer Reviewer and TPC Member in different international journals. He was Editor in IEMIS 2020, IEMIS 2018, IEMIS 2022, ICIDA 2022, ICIDA 2023, CIIR 2023 and special issues in IJWLTT. He is Member of several technical functional bodies such as IEEE, IFERP, MACUL, SDIWC, Internet Society, ICSES, ASR, AIDASCO, USERN, IRAN, and IAENG. He has published 3 patents and 15 books.Valentina E. Balas is currently Full Professor at the Faculty of Engineering, “Aurel Vlaicu” University of Arad, Romania. She holds a Ph.D. in applied electronics and telecommunications from Polytechnic University of Timisoara. Dr. Balas is Author of more than 350 research papers. Her research interests are in intelligent systems, fuzzy control, soft computing. She is Editor-in-Chief to IJAIP and to IJCSysE and is Evaluator Expert for national, international projects. Dr. Balas is Director of Intelligent Systems Research Centre in Aurel Vlaicu University of Arad and Director of the Department of International Relations. She served as General Chair of SOFA conferences in nine editions organized in the interval 2005-2020 and held in Romania and Hungary. Dr. Balas participated in many international conferences as Organizer, Honorary Chair, Session Chair, Member in Steering, Advisory, or International Program Committees, and Keynote Speaker. She is Member of EUSFLAT, Member of SIAM, and Senior Member IEEE.Associate Professor Ts. Dr. Mohammad Kamrul Hasan (Member IEEE` 12–Senior Member` 17, Proctor `2023) is currently Associate Professor and Head of the Network and Communication Technology Research Lab, at the Center for Cyber Security, at Universiti Kebangsaan Malaysia. He received a doctor of philosophy degree in electrical and communication engineering from the Faculty of Engineering, International Islamic University, Malaysia, in 2016 and an M.Sc. in communication engineering from the Department of Electrical and Computer Engineering, International Islamic University, Malaysia, 2012. He has been awarded the gold medal for his research work and many achievements, including the young scientist award and Full Bright scholarship sponsored by the Ministry of Higher Education Malaysia. Dr. Kamrul has been Senior Member of the Institute of Electrical and Electronics Engineers since 2013, Member of the Institution of Engineering and Technology, and Member of the Internet Society.

• Exploring AI Classifiers to Identify Gestational Diabetes Mellitus during pregnancy.- Indian Sign Language Translator.- Desktop-based virtual assistant using python based on natural language processing.- Leveraging Machine Learning for Robust IoT Security: A Focus on Anomaly Detection Systems.- Analyzing the Effectiveness of Machine Learning Algorithms in Intrusion Detection.