Prof. Guillermo De Ita Luna
Autonomous University of Puebla, Mexico

Bio: 34 years as a Full Professor and researcher in the Computer Science department at the Autonomous University of Puebla. (BUAP), México. Currently, a member of the Mexican System of Researchers at level 3 (the highest level). Guillermo De Ita has made research stances in Texas A&M, Chicago University, Lille – Inria France, as well as several Universities in Mexico. He was the principal of the Computer Science Dept (BUAP) from 1999 to 2003. He designed the engineering program in computer science and participated as a founding member of the master's and doctoral programs in Computer Science at the Computer Science
Department from BUAP. He has supervised 59 thesis projects; 32 in bachelor ‘s level and 23 in posgrade level. He has published 140 research articles in journals and conference proceedings that underwent rigorous double-blind peer review, along with 30 book chapters. Additionally, he contributed as an author to the publication of 5 books.

 

Prof. Antonios Saravanos
New York University (NYU), USA

Bio: Ling Liu is a Professor in the School of Computer Science at Georgia Institute of Technology. She directs the research programs in the Distributed Data Intensive Systems Lab (DiSL), examining various aspects of Internet-scale big data powered artificial intelligence (AI) systems, algorithms and analytics, including performance, scalability, reliability, privacy and trust. Prof. Liu is an elected IEEE Fellow, a recipient of IEEE Computer Society Technical Achievement Award (2012), and a recipient of the best paper award from numerous top venues, including IEEE ICDCS, WWW, ACM/IEEE CCGrid, IEEE Cloud, IEEE ICWS. In addition to serving as program chairs of top venues, such as WWW, VLDB, ICDCS, ICDE, IEEE Cloud Computing, and associate editors or guest editors of over a dozen journals, Prof. Liu served as the editor in chief of several ACM or IEEE journals, including IEEE Transactions on Service Computing (2013-2016), ACM Transactions on Internet Computing (since 2019). Currently, Professor Liu is serving as the Editor in Chief of IEEE Transactions on Big Data (since Jan 2025). Prof. Liu is a frequent keynote speaker in top-tier venues in Big Data, AI and ML systems and applications, Cloud Computing, Privacy, Security and Trust. Her current research is primarily supported by USA National Science Foundation under CISE programs, CISCO and IBM.

 

Dr. Douglas Schmidt
William & Mary, USA

Bio: Dr. Douglas C. Schmidt is the Dean of the School of Computing, Data Sciences & Physics at William & Mary, where he leads initiatives at the intersection of artificial intelligence, software engineering, and institutional transformation. An internationally recognized researcher and educator, his work explores how generative AI reshapes software development, testing, and human-computer collaboration, with a particular focus on intent-driven and human-centered AI systems.
Before joining William & Mary, Schmidt held senior leadership and faculty roles at Vanderbilt University and Carnegie Mellon University’s Software Engineering Institute. He has also collaborated extensively with industry and government partners developing and testing large-scale, software-reliant systems. He is a frequent speaker, author, and advisor on the opportunities and risks of deploying AI in real-world organizations, education, and critical infrastructure. In his keynote, Schmidt examines how AI is not just automating tasks, but redefining expertise, agency, and the future of knowledge-driven institution.