Dr. Vinod Varma Vegesna is an internationally recognized leader in Cybersecurity, Artificial Intelligence, and Technology Risk Management, known for his influential research and enterprise‑scale security leadership. With dual PhDs and multiple advanced degrees, he brings a rare blend of deep technical expertise and strategic vision to modern cybersecurity and digital transformation initiatives. Dr. Vegesna led major cybersecurity programs, and guided organizations across healthcare, finance, insurance, telecom, manufacturing, and automotive sectors. His research in AI‑driven threat detection, cloud security, IoT protection, and data privacy has earned global recognition, including 1000+ citations and multiple international awards such as the Young Scientist Award, International Distinguished Researcher Award, and Scientist of the Year. A respected thought leader and mentor, Dr. Vegesna serves on editorial and advisory boards, contributes to global research communities, and continues to shape the future of cybersecurity through innovation, education, and strategic leadership.

 Dr. Divya Gupta is an accomplished academician, researcher, and educator with over two decades of experience in higher education, computer science, and emerging technologies. She currently serves as Associate Professor and Head of the Department of Information Technology at Jagannath International Management School (JIMS), Vasant Kunj, New Delhi, where she leads academic, research, and administrative initiatives while mentoring future technology professionals. Prior to this role, she served as Guest Faculty at Delhi Skill and Entrepreneurship University (DSEU) and held academic positions in the United States and India, including a distinguished tenure of over twelve years as Assistant Professor at Amity University, Noida. Her teaching and research interests encompass Artificial Intelligence, Big Data Analytics, Software Engineering, Cloud Computing, Data Structures, and Speech Processing. Dr. Gupta earned her Ph.D. in Computer Science from Jagan Nath University, Jaipur, with research focused on developing robust Automatic Speech Recognition Systems. She has authored numerous research publications in reputed national and international journals and conferences, particularly in speech recognition, emotion recognition, machine learning, and signal processing. An active contributor to academic excellence, she has participated in accreditation initiatives including NAAC, IET, and ABET and has organized and contributed to several international conferences, faculty development programs, and research activities. Her commitment to innovation, quality education, and interdisciplinary research continues to inspire students and scholars in the field of computing and intelligent systems

  Anvesh Katipelly is a distinguished technology leader, researcher, and innovator in Artificial Intelligence, Distributed Systems, Cloud Computing, and Enterprise Software Architecture. He currently serves as a Staff Software Engineer at PayPal Data Services Inc., Austin, Texas, USA, where he has over eleven years of experience architecting and delivering large-scale AI-enabled financial platforms and mission-critical distributed systems. At PayPal, he is the principal architect of NudgeHub – Proactive Studio, an AI-driven platform for predictive customer engagement and autonomous resolution, and has also led the development of globally scaled platforms such as InfoCenter and ChatEIPNodeWeb. An accomplished IEEE researcher, Anvesh has authored pioneering works including Hierarchical Agentic Orchestration for Microservices: A Neuro-Symbolic Framework (2025) and Generative Autonomic Microservices: Self-Evolving Architecture for Zero-Touch Resilience (2026), contributing significantly to the advancement of agentic AI and autonomous systems. He has served as Session Chair at leading international conferences and is a recipient of the ICCCNet 2025 AI & Machine Learning Award and the Raptors Fellowship 2026 for Responsible AI & RAG Innovation. He holds an M.S. in Artificial Intelligence & Machine Learning from the University of Texas at Austin, an M.S. in Computer Science from Northwestern Polytechnic University, and a B.Tech. in Computer Science and Engineering from JNTU Hyderabad.

 Dr. Seema Sharma is an accomplished academician, researcher, and educator serving as an Associate Professor in the School of Computer Applications at Manav Rachna International Institute of Research and Studies (MRIIRS), India. With over 19 years of teaching and research experience, she has made significant contributions to the fields of Computer Science and Information Technology. Dr. Sharma possesses an outstanding academic background, holding a Ph.D., M.Phil., MCA, and B.A. (Hons.) in Mathematics. Her research interests encompass Artificial Intelligence, Machine Learning, Data Science, Software Testing, Cloud Computing, and Emerging Computing Technologies. She has published extensively in reputed national and international journals, conferences, and edited volumes, contributing to advancements in intelligent computing and digital innovation. A prolific innovator, she holds several patents and has actively participated in numerous workshops, seminars, and Faculty Development Programs related to cutting-edge technologies. Dr. Sharma has also authored and edited books on Machine Learning, Data Structures, Computer Organization, and related domains. Further strengthening her academic leadership, she serves as the Series Editor of “Advances in Quantum Computing, Artificial Intelligence, and Data Sciences for Industrial Transformation” published by CRC Press, reflecting her commitment to advancing research, innovation, and interdisciplinary knowledge in the rapidly evolving landscape of intelligent technologies.

Dr. Pawan Whig is an IEEE Lifetime Member, Country Head at Threws, and a Research Consultant in Artificial Intelligence and Machine Learning. With over 25 years of experience in IT and VLSI design, he has authored more than 150 technical papers in national and international journals. His research spans AI, ML, Analog Signal Processing, Sensor Modeling, and Water Quality Monitoring Applications. Dr. Whig has served as a reviewer for multiple reputed journals and is a member of several global professional organizations including ISTE, IEI, and the Computer Society of India. He is passionate about fostering innovation and bridging academia with industry applications in emerging technologies.