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Keynote Speakers

Prof. Ing. Juraj Gazda, PhD​
Dr. Jong-Hoon Kim, Ph.D.

Prof. Ing. Juraj Gazda, PhD

Juraj Gazda defended his dissertation thesis Multicarrier based transmission systems undergoing nonlinear amplification in 2010. In the time frame 2011-2014, besides his education and research activities at Technical University of Kosice, he was also with the Nokia Networks (former Nokia Siemens Networks) working as the external consultant dealing with the IMS based LTE wireless communication systems. In the past, he acted as the guest researcher at the Ramon Llull University (Barcelona, Spain), Technical University of Hamburg, Harburg (Germany) and Delft University of Technology (Netherlands). In 2013, he visited Verizon Wireless (Dallas, TX, USA) to consult the design of IMS based LTE network for Verizon Wireless.

Abstract of Talk (CICT 2024):

In this talk, we will explore the intersection of connected autonomous vehicles (CAVs), edge computing, multi-agent cooperation, computer vision, and large language models (LLMs) to tackle emerging challenges in intelligent transportation. Edge computing enables decentralized, low-latency processing, essential for real-time decision-making in tasks such as obstacle detection and navigation. Multi-agent cooperation, in this context, focuses on efficient sharing of radio and computational resources, ensuring that vehicles can dynamically allocate bandwidth and processing power to maintain high performance in communication and computation-heavy environments. Computer vision technologies enable vehicles to interpret complex surroundings through advanced scene analysis, enhancing safety and decision-making. Additionally, LLMs contribute to processing large amounts of contextual data, enabling more human-like reasoning and complex decision-making. Together, these technologies offer a holistcapproach to advancing the capabilities of autonomous vehicles, creating more robust, intelligent, and sustainable transportation systems.

Research Interest:

Dr. Jong-Hoon Kim, Ph.D.

Dr. Jong-Hoon Kim, an Associate Professor at Kent State University and leader of the Advanced Telerobotics Research Laboratory since 2017, is a distinguished expert in robotics and intelligent systems. With a B.S. from Seoul National University of Science and Technology and an M.S. and Ph.D. in Computer Science from Louisiana State University, his research focuses on telerobotics, human-robot interaction, and human- centered computing. His work emphasizes the co-design of hardware and software for low-cost robots, secure teleoperations, and emotional aspects of robot-human interactions. Dr. Kim has led research projects totaling $13 million in funding and has played a key role in global robotics challenges such as the World Robot Summit. His innovations, including the TeleBot for law enforcement, have gained recognition, and his works have been supported by major institutions like the NSF and US-DOT, reflecting his significant impact on the field.

Title of Talk (CICT 2024):

Revolutionizing Human-Robot Interaction: The Impact of AI Enhanced Telerobotics on Future Lifestyles

Abstract of Talk (CICT 2024):
The emergence of cutting-edge AI technologies, such as generative AI and large language models (LLMs), is poised to bring significant advancements and transformations to the field of human robot interaction research. In particular, Telerobotics and telepresence are expected to evolve with more advanced equipment and innovative interface technologies. This evolution will enhance social interactions between humans and robots, as well as among humans through robots, in unprecedented ways. Such advancements are likely to transcend the physical limitations of human life, leading to shifts in lifestyle patterns. As with previous technological revolutions, this new wave of AI and robotics innovation will profoundly alter the ways we live and interact with the world. In my upcoming invited speech, I will discuss these anticipated changes and present the ongoing research at my ATR lab, highlighting the potential outcomes of our work.
Research Interest: