MDPI’s Journal Cluster of Mechanical Manufacturing and Automation Control Webinar | The Convergence of Foundation Models and Autonomous Systems
2 April 2026, 09:00 (CEST)
2 April 2026
Large Language Models, Vehicular Technologies, IoT, UAV, Drones, Automation, Control Theory, Artificial Intelligence, Intelligent Vehicles
Welcome from the Chair
Journal Cluster-6
The Convergence of Foundation Models and Autonomous Systems
Date: 2 April 2026
Time: 09:00 am CEST | 04:00 pm KST
Webinar ID: 830 2178 0410
Webinar Secretariat: journal.webinar@mdpi.com
Registration
This is a FREE webinar. After registering, you will receive a confirmation email containing information on how to join the webinar. Registrations with academic institutional email addresses will be prioritized.
Certificates of attendance will be delivered to those who attend the live webinar.
Can’t attend? Register anyway and we’ll let you know when the recording is available to watch.
Event Chair and Speaker
Shiho Kim is a professor in the School of Integrated Technology at Yonsei University, Seoul, Korea. His previous assignment includes a system-on-chip design engineer at LG Semicon Ltd. (currently SK Hynix), Korea, Seoul [1995-1996], and Director of RAVERS (Research Center for Advanced Hybrid Electric Vehicle Energy Recovery System, a government-supported IT research center), Associate Director of the ICT Consilience Program, a Korean National program for cultivating talented engineers in the information and communication Technology field, Korea [2011-2012]. He founded i4ft (Inter-University Alliance for Future Vehicular Technologies) in 2022 and has been a Director of the Seamless Trans-X Lab at Yonsei University, Korea, since 2011. He has co-edited three books on Hardware accelerators for machine Learning (Publisher: Elsevier and Springer Nature) and another three technical books on Blockchain Technology and automotive cybersecurity (Publisher: Elsevier and Springer Nature). He has co-authored more than 100 high-impact, indexed papers and over 50 patents. His current research focuses on intelligent vehicles, Artificial Intelligence, Quantum Machine Learning, and system semiconductors for the abovementioned domains.
Keynote Speaker
Department of Computer Applications in Science & Engineering, BARCELONA Supercomputing Center, 08034 Barcelona, Spain,
Escuela Técnica Superior de Ingeniería (ICAI), Universidad Pontificia Comillas, 28015 Madrid, Spain,
Estudis d'Informàtica, Multimèdia i Telecomunicació, Universitat Oberta de Catalunya, 08018 Barcelona, Spain
Prof. Dr. De Curtò is a tenured Recognised Researcher in the Department of Computer Applications in Science & Engineering, Group of Dual Technologies, of the BARCELONA Supercomputing Center, he is also a Professor (Profesor Asociado Colaborador - Doctor) at the School of Engineering (ICAI), in the department of Electronics, Control Systems and Communications at Universidad Pontificia Comillas in Madrid. He holds a PhD in Computer Science from Universitat Politècnica de València (2023), an MSc in Multimedia Information Technology (EE Dept.) from City University of Hong Kong (2015), and an MSc in Telecommunication Engineering from Universitat Autònoma de Barcelona / Universitat Politècnica de Catalunya (2013). He has more than 40 articles published in indexed journals and internationally recognized conferences, on topics of Vehicular Technologies, IoT, AI and Space Mission Design. His h-index is 14 and his works have been cited around 800 times according to Google Scholar.
Webinar Content
|
Speaker |
Presentation Title |
Time in CEST |
Time in KST |
|
Prof. Dr. Shiho Kim |
Chair Introduction |
09:00 - 09:10 a.m. |
04:00 - 04:10 p.m. |
|
Prof. Dr. Shiho Kim |
Reinforcement Learning for Fail-Operational Systems with Disentangled Dual-Skill Variables |
09:10 - 09:30 a.m. |
04:10 - 04:30 p.m. |
|
Q&A Session |
|
09:30 - 09:35 a.m. |
04:30 - 04:35 p.m. |
|
Prof. Dr. Joaquim de Curtò i Díaz |
Foundation Models and UAV-IoT Integration for Smart City Applications: From AI- Driven Traffic Optimization to Cooperative Perception and Beyond |
09:35 - 09:55 a.m. |
04:35 - 04:55 p.m. |
|
Q&A Session |
|
09:55 - 10:00 a.m. |
04:55 - 05:00 p.m. |
|
Internal Presentation – TBD |
Overview of Submission Process |
10:00 - 10:10 a.m. |
05:00 - 05:10 p.m. |
|
Prof. Dr. Shiho Kim |
Closing of Webinar |
10:10 - 10:15 a.m. |
05:10 - 05:15 p.m. |
Relevant Special Issues
Emerging Paradigms in AI, Autonomous Systems, and Intelligent Technologies
Edited by Florian Ion Tiberiu Petrescu, Liviu Marian Ungureanu, Iulian Sorin Munteanu and Péter Galambos
Deadline for manuscript submissions: 1 April 2026
Advances in Autonomous Underwater Drones: 2nd Edition
Edited by Daxiong Ji, Asiya Khan, Dena Bazazian and Mohd Hisham Bin Nordin
Deadline for manuscript submissions: 28 May 2026
Advances in Networks for Transport Infrastructure Management and Safety
Edited by Apostolos Anagnostopoulos, Nawaf Alnawmasi and Athanasios (Akis) Theofilatos
Deadline for manuscript submissions: 31 July 2026
Emerging Trends in Air Traffic Flow and Airport Operations Control
Edited by Lei Yang, Yan Xu and Yutong Chen
Deadline for manuscript submissions: 31 August 2026
Emerging Approaches to Intelligent and Autonomous Systems
Edited by Emmanouil Tsardoulias and Andreas L. Symeonidis
Deadline for manuscript submissions: 30 November 2026
Relevant Papers
Reinforcement Learning for Fail-Operational Systems with Disentangled Dual-Skill Variables
by Taewoo Kim and Shiho Kim
Technologies 2025, 13(4), 156; https://doi.org/10.3390/technologies13040156
by Álvaro Moraga , J. de Curtò, I. de Zarzà and Carlos T. Calafate
Drones 2025, 9(4), 248; https://doi.org/10.3390/drones9040248
Relevant Topical Collection
Automation in Intelligent Transportation Systems
Edited by Chen Lv
Introduction of Cluster
MDPI’s cluster of mechanical manufacturing and automation control aims to publish cutting-edge research in the field of aerospace, automation, drones, machinery, manufacturing, robotics, and advanced technologies, including integrated AI, IoT, and advanced control systems. These journals will collaborate to offer the scientific community the latest research advances and discoveries within the field of automation, Industry 4.0, smart manufacturing, robotics, and aerospace technologies. Find more.