Dr. Hee-Cheol Kim Ph.D. in Numerical Analysis and Computing Science from Stockholm University, Sweden. He is a senior professor in the Department of Computer Engineering and as the Head of the Institute of Digital Anti-Aging Healthcare at Inje University, South Korea. He is the President of the Korea Institute of Information and Communication Engineering (KIICE) research society and the Co-Chair of the IEEE International Conference on Advanced Communication Technology (ICACT). He also leads the Smart Computing Research Laboratory. His research interests encompass medical image processing, pathology image analysis, natural language processing, computer vision, text mining, bioinformatics, the metaverse, blockchain, and federated learning.
Title: Revolutionizing Healthcare with AI: Innovations in Medical Imaging and Clinical Decision-Making
Abstract: Artificial Intelligence (AI) is revolutionizing healthcare by enhancing diagnostic accuracy, optimizing treatment strategies, and improving patient outcomes. This keynote will explore cutting-edge AI techniques applied in medical imaging and clinical decision-making, focusing on deep learning, computer vision, natural language processing (NLP), and federated learning. Convolutional Neural Networks (CNNs) and Vision Transformers (ViTs) have significantly advanced automated disease detection and segmentation in radiology and digital pathology, improving efficiency and consistency. Generative AI techniques, such as diffusion models and generative adversarial networks (GANs), enable data augmentation and synthetic image generation, addressing challenges like data scarcity and bias. Large language models (LLMs) and NLP techniques play a crucial role in clinical text analysis, aiding in automated medical report generation and disease prediction from electronic health records (EHRs). Additionally, federated learning ensures privacy-preserving AI model training across multiple institutions, fostering collaboration while maintaining data security. This keynote will discuss these AI-driven advancements, explore challenges such as interpretability, bias, and regulatory compliance, and highlight future directions for AI-powered healthcare.
Raffaele Carli received his Laurea degree in Electronic Engineering with honours in 2002 and his PhD in Electrical and Information Engineering in 2016, both from Politecnico di Bari, Italy. From 2003 to 2004, he was a Reserve Officer with Italian Navy. From 2004 to 2012, he worked as System and Control Engineer and Technical Manager for a multinational company in the space and defense sector.
Currently, Dr. Carli is an Associate Professor in Systems and Control Engineering at Politecnico di Bari, where he is the technical lead for the Decision and Control Laboratory (coordinated by prof. Mariagrazia Dotoli) within the Department of Electric and Information Engineering (http://dclab.poliba.it/). He has held national qualifications as a Full Professor since 2023. Since 2022, he has served as Vice-Coordinator of the National PhD program in Autonomous Systems (http://dausy.poliba.it/phd/).
Dr. Carli serves on the editorial board of IEEE (Institute of Electrical and Electronics Engineers) journals as an Associate Editor for IEEE Transactions on Automation Science and Engineering (awarded 2023 and 2024 Best Associate Editor) and IEEE Transactions on Systems, Man, and Cybernetics. He is also an active member of the conference editorial boards of various events sponsored by IFAC (International Federation of Automatic Control) and IEEE, including those sponsored by the IEEE Control Systems Society (CSS), IEEE Robotics and Automation Society (RAS), and IEEE Systems, Man, and Cybernetics Society (SMCS). His organizational roles include positions on the committees of several IEEE conferences, such as Young Career Chair of the 2017 IEEE International Conference on Automation Science and Engineering, Publication Co-chair of the 2015 IEEE International Conference on Automation Science and Engineering, Tutorial Co-chair of the 2023 IEEE International Conference on Systems, Man and Cybernetics, Finance Chair and Special Session Chair of the 2024 IEEE International Conference on Automation Science and Engineering. He also serves as General Chair of the upcoming IFAC Workshop on Smart Energy Systems for Efficient and Sustainable Smart Grids and Smart Cities (SENSYS 2025) and the Publicity Chair of the 2026 IEEE International Conference on Industrial Electronics and Applications.
An IEEE Senior Member since 2022, Dr. Carli currently serves as the Mentorship Subcommittee Chair of the Membership and Student Activities Committee within the IEEE SMCS for the 2023-2024 and 2025-2026 terms. Additionally, he currently serves as the Secretary of the IEEE Italy Section Chapter CS23 of the CSS for the 2025-2026 term.
Dr. Carli has authored over 120 printed international publications (Google Scholar profile: https://scholar.google.it/citations?user=OvXT8Y0AAAAJ&hl=en). His research focuses on developing decision and control techniques for modeling, optimizing, managing, and controlling complex, large-scale systems, particularly in smart frameworks such as industry and energy. He received the 2024 IEEE Italy Section SMCS Chapter Award for Excellence in Early Career Research.
For additional information, visit: http://dclab.poliba.it/people/raffaele-carli/
Title: Optimal Solar Tracking for Sustainable Crop Cultivation and Energy Generation in Agrivoltaics
Abstract: Rural energy communities play a crucial role in driving sustainable development through the integration of agriculture and energy systems. In this context, the talk focuses on agrivoltaics, an innovative approach that blends photovoltaic technology with agricultural practices to optimize land use efficiency and enhance resource sustainability in rural areas. The talk specifically explores two scenarios: rural photovoltaic farms and integrated agrivoltaic plants, with a keen emphasis on optimizing layout and system performance. Detailed analysis of objectives and system modeling methodologies is provided for each scenario, alongside simulation results from practical applications, offering insights into agrivoltaics' potential impact on energy production and agriculture sustainability.