Dr. Anupriya Jain

Dr. Anupriya Jain is an accomplished academician and researcher in Computer Science with extensive experience in teaching, research, and academic leadership. She has published over 50 research papers in reputed journals and conferences and is the author of two books, Computer Architecture and Machine Learning for Beginners. Dr. Jain has also edited several internationally published books and holds more than ten patent filings. She has actively contributed to the academic community through conference organization, technical session chairing, and workshops on emerging technologies. In recognition of her professional excellence and leadership, she was honored with the 9th Sarojini Naidu Award for Working Women. As Co-Editor of this proceedings volume, she brings valuable expertise in research, innovation, and scholarly publishing..

 Dr. Ahmed Elngar

Dr. Ahmed Elngar is a Professor at the Faculty of Computers & Artificial Intelligence, Beni-Suef University, Egypt, and the President of the Scientific Innovation Research Group (SIRG). A distinguished academic and researcher, he has published extensively in the fields of Artificial Intelligence, Data Science, and Cybersecurity. Dr. Elngar has served on editorial boards of reputed journals and international conferences, contributing significantly to AI education and research worldwide. His leadership at SIRG continues to drive impactful innovation, bringing together interdisciplinary collaborations to address real-world challenges.

Dr. Pavika Sharma
Dr. Pavika Sharma is a leading expert in Artificial Intelligence, Machine Learning, and IoT-enabled intelligent systems, with a strong focus on innovation-driven applications in sectors like smart cities, environmental monitoring, and precision agriculture. She has played a pivotal role in developing AI-powered solutions that promote sustainability, automation, and real-time decision-making across diverse industries.

Dr. Sharma’s research and practical work span federated learning, sensor integration, and AI-enabled edge computing, making her a key contributor to the advancement of scalable and responsible AI technologies. Her collaborative projects have helped bridge the gap between academic research and real-world implementation, ensuring that AI systems are both impactful and ethically designed. Driven by a passion for inclusive technology and practical impact, Dr. Pavika Sharma continues to lead efforts that shape the future of intelligent automation and smart ecosystem development.

 Anantharaman Janakiraman

Anantharaman Janakiraman is a distinguished Machine Learning and Artificial Intelligence professional currently serving as Principal Machine Learning Engineer at Expedia Group, USA. With extensive expertise in Data Science, Machine Learning, Generative AI, and Enterprise AI Systems, he has led the development of innovative AI-driven solutions that enhance operational efficiency, scalability, and business value. As a lead Generative AI expert, he has successfully translated cutting-edge AI research into practical enterprise applications while maintaining high standards of quality, safety, and governance. His contributions include modernizing large-scale machine learning platforms, optimizing mission-critical AI systems, and driving strategic innovation in intelligent technologies. His research interests encompass Generative AI, Large Language Models (LLMs), Machine Learning Engineering, Responsible AI, Data Analytics, and Enterprise AI Transformation.

Dr. Pawan Whig

Dr. Pawan Whig is a renowned academician, researcher, and technology leader with over 15 years of experience at the intersection of Artificial Intelligence, Machine Learning, VLSI Design, and Embedded Systems. A prolific contributor to the field, he has published over 50 papers in reputed national and international journals and is an IEEE Lifetime Member and Country Head at Threws. Dr. Whig earned his Doctorate from Jamia Millia Islamia. His work spans a wide range of applications—from AI-powered analog signal processing and sensor modeling to real-time systems in smart infrastructure and water quality monitoring. A passionate mentor and respected thought leader, Dr. Whig continues to drive innovation and thought leadership in emerging technologies, inspiring a new generation of AI researchers and engineers.