Committee Members

Biography:

Prof. Francesco Iarlori (https://iarlori.com) is a visionary leader in AI and digital transformation, with over 30 years of global experience spanning technology, finance, media, and telecommunications. A passionate storyteller and university lecturer, he bridges science and creativity to inspire innovation with purpose. Francesco collaborates with leading institutions and international organizations, including the United Nations, advising on sustainable growth and AI adoption. His work celebrates the harmony between technology, art, and human potential.

Biography:
Kaya Kuru received the B.Sc. degree from the National Defense University (Turkish Military Academy), the ADP/Major degree in computer engineering from Middle East Technical University (METU), the M.B.A. degree from Selçuk University, and the M.Sc. and Ph.D. degrees in computer science/medical Informatics from METU. He completed his postdoctoral studies with the School of Electronics and Computer Science, University of Southampton, U.K. He is a Software Engineer and currently an Associate Professor of computer-information systems engineering. He has recently engaged in the implementation of numerous AI-based real-world systems within various funded projects. His research interests include the development of geo-distributed autonomous intelligent systems using FL, ML, DL, and DRL with CPSs.

Biography:
Wolfgang Kröger is Professor emeritus at ETH Zurich/Department of Mechanical and Process Engineering. As a member of the SATW he heads its topical platform of autonomous mobility. His seminal work lies in reliability, risk and vulnerability analysis of large-scale technical systems including complex engineered networks controlled by cyber-physical systems. He engaged himself in shaping and operationalizing the concept of sustainability and – more recently – of resilience of future systems. His ongoing research interest and contributions to the development and certification of automated/ autonomous vehicles, regarded as a cornerstone of future mobility concepts are matter of growing interest. He has published about 40 reviewed papers, books, and edited volumes only in the last 15 years, served on international review groups and notable advisory boards.

Nor Samsiah Sani received a bachelor’s degree in information technology from the Universiti Tenaga Nasional. She then pursued her education by obtaining a PhD at the University of Sheffield. She is the Head of the Artificial Intelligence Programme in the Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia. She has been invited as a speaker for several seminars on Data Analytics. She leads collaborative projects with Malaysian government sectors and industries, focusing on predictive analytics, machine learning, data analytics, evolutionary algorithms, and data mining and optimisation.

Dr.Yudi Guzman Monteza is an Assistant Professor at the National University of San Marcos (UNMSM) and Reserve Officer in the Air Force of Peru (FAP). She performed an internship at the University of Granada (UGR) in the doctoral program at TIC. Currently, her research area is argument mining which takes part in Natural Language Processing because of her ability to design annotation methods and how to get trust data to be used by linguistic computational models or pre-trained language models under a supervised learning approach. This topic is multidisciplinary because linguistics computational is transversal and useful for all disciplines to understand how a computational model can better understand a human´s natural language. Experience in Artificial Neural Networks, Software Engineering, and Natural Language Processing. Prof. Yudi Guzmán supervises theses including master thesis and thesis, to obtain the engineer grade.

Polymath, Ph.D. in Agricultural Engineering by the Federal University of Santa Maria (UFSM) and doctoral student in Finance (UFSM); Master’s in Administration (UFSM); Master in Production Engineering (UFSM); Specialist in Statistics and Quantitative Modeling (UFSM). Graduate in Mechanical Engineering (UFSM); Graduate in Business Administration (UFSM); Graduate in Accounting Sciences (UFSM); Graduate in Economic Sciences (UFSM); Graduate in Mechanical Engineering (UFSM); and Graduate in Civil Engineering by the Federal University of Pampa (Unipampa). Mechanical Technician (UFSM) and Army Reserve Officer in the Artillery Weapon (Brazilian arm). Associate Professor at the Federal University of Pampa (UNIPAMPA). Extension officer at the Department of Development and International Affairs of the Government of the State of Rio Grande do Sul (SEDAI/RS) at UNICRUZ/RS, and coordinator of Research and Extension Centers Brazil’s technical. Professor for 24 years in institutions of technical, higher, and postgraduate education in Brazil, such as UNIPAMPA/RS, UFSM/RS, FAPAS/RS, UNIFRA/RS, FAMES/RS, FISMA/RS, and FACISA/CELER/SC. Experience in the areas of Artificial Neural Network, Production Engineering, Product Design, and Financial Administration; with an emphasis on Strategic Planning and Budget. He currently works in the following subjects: Microeconomics (Production Costs); Financial Engineering (Economics); Product Design Methodology; Production systems; Quality Systems; and Administration and Entrepreneurship.

Prof. Patrick Siarry was born on May 28, 1952, in Pertuis. His research area is relatively (since 1982) new “metaheuristic” optimization such as simulated annealing, which are indicated for the so-called problems of “hard optimization” because of their ability to avoid in principle, trapping in sub-optimal solutions. This topic is multidisciplinary in nature, both by the source of the methods studied (physics, biology, ethology). Prof. Siarry has 12 frames at 100% of doctoral theses, including 1 in progress; 9 frames at 50% of doctoral theses, including 6 ongoing; 6 joint supervision of doctoral theses, including 5 courses; 4 frames partial (< 30%) of doctoral theses; 2 research post-doctoral; 18 internships DEA or Master 2 research; 2 stages of “ownership” of the Ecole Polytechnique de Montreal; 2 memories Engineer CNAM; 1 team of industrial research project (two engineers and one technician); 10 training engineering degree or master’s and 2 stages of BTS or DUT.