26th International Society for Design and Process Science Conference

John Carbone

For 37+ years, Dr. Carbone has served the defense industry as an Engineering Fellow, Chief Science Advisor, Technology Director, Chief Engineer for Innovation, Chief Data Scientist, and Adjunct Professor of Applied AI and Advanced Data Science currently at Baylor University. His national and international innovations/patents were instrumental in forging bridges between High Performance Computing and Big Data/Cloud warfighting architectures, C5ISR enterprise, Non-Kinetic ISR Algorithms, MESH comms architectures, UAV Sensor Fusion, dynamic DDIL communications, AI/behavior-based, and recent Space-based SDWAN & cross domain cyber security.

Dr. Carbone currently serves as Senior Technical Director & Chief CIP Solutions Architect @ Everfox LLC, Global Governments and Critical Infrastructure while developing and teaching transformational master's and PhD curriculum on Applied Artificial Intelligence, Self-Learning Machines, and Applied Data Science at Baylor University. Dr. Carbone has a 100+ AI, Engineering, and Data Science publications incl. AI based Cyber Security, Mining Big Data to Improve National Security, Multi-Disciplinary Systems Engineering, and Applied Cyber Physical Systems to name a few, His newest book by Springer Publishing regarding AI, chatbots, and Large Language Models is "Chatbots, The good, The Bad, and The Ugly".

Varadraj Gurupur

Varadraj Gurupur, PhD is a Professor with the School of Health Management and Informatics with the University of Central Florida. He is the founding member and Director of the Centre for Decision Support Systems and Informatics at UCF. Dr. Gurupur received his Doctoral degree in Computer Engineering from the University of Alabama at Birmingham in 2010. Dr. Gurupur is a recipient of two international awards, two national awards, and several regional and institutional awards. This includes the prestigious AHIMA Research Award in the year 2017, and the AHIMA Triumph Award for Innovation in 2021. Additionally, he is also the recipient of the prestigious Joseph M. Biedenbach Outstanding Engineering Educator Award from IEEE Region 3 and the recipient of FHIMA Literary Award in 2016. His core research is focused on software engineering decision support systems for healthcare and education. Dr. Gurupur is also someone who has worked in the healthcare industry

for several years. Based on this work experience and academic training he is involved in discovering innovative solutions to difficult problems associated with Electronic Health Records. Dr. Gurupur has more than 100 publications which include: edited book, book chapters, journal articles, conference papers, abstracts, and published reviews.

Lalit Garg

Lalit Garg is a professor of computer information systems at the University of Malta, Malta, and an honorary lecturer at the University of Liverpool, UK. He has been a researcher at the Nanyang Technological University, Singapore, and Ulster University, UK. Prof Garg has supervised 200+ master's dissertations, 2 DBA and 5 PhD theses and published 200+ high-impact publications in refereed journals/conferences/books, 22 edited books and 24 patents. He has delivered numerous keynote speeches, organised/chaired international conferences, and consulted countless public and private organisations for information systems implementation and management. His research interests are business intelligence, machine learning, data science, deep learning, cloud computing, mobile computing, the Internet of Things (IoT), information systems, management science and their applications, mainly in healthcare and medical domains. He participates in many EU and locally funded projects, including a one-million-euro Erasmus+ Capacity-Building project in Higher Education (CBHE), titled Training for Medical Education via Innovative eTechnology (MediTec) and Malta Council of Science and Technology's Space Research Funds. The University of Malta has awarded him the 2021-22 Research Excellence Award for exploring Novel Intelligent Computing Methods for healthcare requirements forecasting, allocation and management (NICE-Healthcare).

Parul Naib

Parul Naib is a Post Doctoral researcher at the School of Global Health Management and Informatics, University of Central Florida. She has over 20 years of experience of setting up and leading Data science and AI teams for multinational companies such as American Express, United Health Group, Providence Healthcare and the World Bank working for US, European and South Asian clients in the areas of digital health, fraud control and risk management. Dr. Naib holds a PhD. in Public Health from IIHMR University and a master's in economics from Delhi School of Economics, University of Delhi. She also holds a professional certification in Risk Management from Stanford University, USA. Prior to this, she was the Head of AI and Data Science at the Reserve Bank of India Innovation Hub. She has also been instrumental in leading policy and program initiatives for fraud control and monitoring and led several national level AI and data science initiatives for programs such as the Ayushman Bharat PMJAY scheme at the National Health Authority and the Mulehunter.ai project at the Reserve Bank innovation Hub. She is a national level Master Trainer in AI and Medical audit investigations and an Adjunct Faculty at IIHMR Bangalore. She is also a member of the Institutional Ethics Committee for Catalyst Foundation. She was the recipient of the IEEE Amarnath Raja Humanitarian Service Award 2025 for her work in leading and delivering Mulehunter.AI at RBIH.