Brij B Gupta is Director of the International Center for AI and Cyber Security Research and Innovations, and Distinguished Professor with the Department of Computer Science and Information Engineering (CSIE), Asia University, Taiwan. In more than 17 years of his professional experience, he published over 500 papers in journals/conferences, including 35 books and 12 Patents with over 25,000 citations. He has received numerous national and international awards, including the Canadian Commonwealth Scholarship (2009), Faculty Research Fellowship Award (2017), the Visvesvaraya Young Faculty Research Fellowship Award from the Indian Ministry of Electronics and Information Technology, Government of India, the IEEE GCCE outstanding and Women in Engineering (WIE) paper awards, and National Institute of Technology Kurukshetra, India’s Best Faculty Award (2018 and 2019), respectively. Prof. Gupta was selected for Clarivate’s Web of Science Highly Cited Researchers in Computer Science (top 0.1% researchers in the world) consecutively in 2022 and 2023. He was also listed in Stanford University’s ranking of the world’s top 2% of scientists in 2020, 2021, 2022 and 2023.

Dr Gupta is also a visiting/adjunct professor with several universities worldwide, and an IEEE Senior Member (2017). He was selected as the 2021 Distinguished Lecturer in IEEE Consumer Technology Society (CTSoc). Dr Gupta is also serving as Member-at-Large of IEEE Consumer Technology Society’s Board of Governors (2022–2024). He is also Editor-in-Chief of the International Journal on Semantic Web and Information Systems, International Journal of Software Science and Computational Intelligence, Sustainable Technology and Entrepreneurship and International Journal of Cloud Applications and Computing, lead-editor of a Book Series with CRC and IET press, and Associate/Guest Editor of various journals and transactions. He also served as a member of the technical program committee of more than 150 international conferences. His research interests include information security, cyber physical systems, cloud computing, blockchain technologies, intrusion detection, AI, social media and networking.

Mamta received her BTech (with honors) in computer engineering in 2011 from the University Institute of Engineering and Technology, Kurukshetra University, India, and her MTech in computer engineering (with distinction) in 2014 from the National Institute of Technology, Kurukshetra, India. She received her PhD in computer engineering from the National Institute of Technology, Kurukshetra, India, in 2020. At present, Dr Mamta is an assistant professor in the Department of Computer Science and Engineering at Punjab Engineering College, Chandigarh, India. Her research interests include applied cryptography, searchable encryption, information security, big data security, and cloud computing. She has published several research articles with various reputed publishers, including IEEE, Springer, and Wiley.

Rajesh Jugulum, Ph.D., is the Chairman and Chief Data Science and Analytics Officer at DataDragon and an affiliate professor at Northeastern University. Prior to this, he held executive positions in the areas of data science, analytics and process engineering at Cigna, Citi Group and Bank of America. Rajesh completed his Ph.D. under the guidance of Dr. Genichi Taguchi. Before joining industry, Rajesh was with Massachusetts Institute of Technology, where he was involved in research and teaching.

Currently, he is also an affiliate faculty at University of Arkansas, Little Rock. ajesh is the author/co-author of several papers and five books including books on robust quality, data quality and design for lean six sigma. ajesh is also a certified Six Sigma Master Black Belt and holds two US patents and he has delivered talks across the globe as the keynote speaker at several conferences, symposiums, and events related to data science, analytics and process engineering. He has also delivered lectures at several universities/companies across the globe and participated as a judge in data-related competitions

David Fogarty, PhD. MBA currently works for one of the largest global health insurers as their Chief Marketing Analytics Officer and Head of Global Customer Value Management and Analytics.

For 20 years David worked at the General Electric Company and has held quantitative analysis leadership roles in the various business units of the company across several functions including risk management and marketing both internationally and in the US. David has over 15 US patents or patents pending on business analytics algorithms and is a certified Six Sigma Master Black Belt in Quality which is the highest qualification within the Six Sigma Quality methodology.

David has over 15 years of teaching experience having held various adjunct academic appointments at both the graduate and undergraduate level in statistics, international management and quantitative analysis. He has also taught business analytics courses at the esteemed GE Crotonville Management Development Institute in Crotonville, New York and has 50 published research papers in peer reviewed academic journals and has also published three books. His research interests include how to conduct analysis with missing data, the cultural meaning of data, integrating machine learning and artificial intelligence algorithms into the statistical science framework and many other topics related to quantitative analysis in business.

Chris Heien, Ph.D., is a software engineer and data management professional with expertise in information manufacturing systems and data flow optimization. Chris has served across multiple roles at Cigna, GE Capital, and Citigroup where he applied his background to multiple analytics activities ranging from development of data quality monitoring strategies to analytics execution in big data environments.

Chris holds a PhD in Information Quality from the University of Arkansas at Little Rock where he previously instructed Object-Oriented programming courses and continues to serve as affiliate faculty.

Surya Putchala is a Technology leader with expertise in driving measurable operational improvements for Fortune 500 companies and startups through innovative consulting and transformation solutions. As an entrepreneur and principal, Surya has spearheaded the development of three innovative AI solutions, resulting in $20 million in mergers and acquisitions. His expertise spans Generative AI, Large Language Models (LLMs), Data Science, and Machine Learning, with a strong focus on delivering tangible business outcomes.

Throughout his career, Surya has demonstrated ability by building high-performing teams and establishing Centers of Excellence. He has mentored over 300 employees and guided six startups, contributing to the advancement of AI-driven innovations.

Surya has delivered over 50 Proofs of Concept across finance, retail, and healthcare industries, generating significant revenues and acquiring marquee clients. Surya has been named a LinkedIn Top Voice in AI and actively contributes to the AI community through mentoring, publishing, and speaking engagements. Surya combines technical acumen with strategic insights, making him a trusted advisor for organizations aiming to harness the power of AI and data-driven strategies.