EKC2024

DIVISIONS

Electrical, Electronics, & Information Engineering

Recent development in Electrical, Electronics & Information Engineering is reshaping the society in an unprecedented manner. Advancement in electronic devices and systems, telecommunication networks, power distribution, artificial intelligence, and software engineering affects our daily lives in every possible aspect. The speed of technology development is yet increasing because of the market demand for innovation as well as high competition. At EKC2024, the Electrical, Electronics & Information Engineering (EI) division aims to deliver a number of sessions that embrace a broad range of subjects within the discipline. This year, the EI division will be highlighted with various aspects and applications of artificial intelligence. Following sessions will be organized. - Envisioning the Future of Artificial Intelligence in Europe and Korea (Keynote & Round Table) - Deep Learning for Computational Medicine and Health Care - On-Device AI and the Future of AI Applications - Maximizing Business Insights: The Intersection of Technology, Data Analytics, and Strategic Management The EI division will also present the following sessions. - Theory and Practice of Computer Science and Innovative Information Technology - Advanced Manufacturing for Surgical Devices and Healthcare Applications - Innovative Semiconductor Devices, Circuits, Packaging and Systems, and their Scientific and Industrial Applications - New Technological Developments for Supporting Healthcare As EI division, we would like to welcome abstract submission in the broad area of Electrical, Electronics & Information Engineering.

Programme Committee

DR. HAH, Dooyoung (하두영)

Abdullah Gul University

dooyoung.hah@agu.edu.tr

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Dooyoung Hah is an assistant professor at the Abdullah Gül University. He received his PhD in electrical engineering from KAIST in 2000. He also worked at Louisiana State University (LSU), University of California, Los Angeles (UCLA), and Electronics and Telecommunications Research Institute (ETRI). He served as a Programme Chair for EKC 2022. He also has been serving as a technical committee member for the Symposium on Design, Test, Integration and Packaging of MEMS and MOEMS (DTIP) since 2018. His current research interests include nano-/micro-systems, sensors, energy harvesting devices, photovoltaic devices, wearable electronics, and integrated photonics.

DR. CHOI, Changkyu (최창규)

UiT The Arctic University of Norway

changkyu.choi@uit.no

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Changkyu Choi received his PhD degree in June 2023 from UiT The Arctic University of Norway, with a specialization in computer vision and deep learning applied to maritime image analysis. He is currently a postdoctoral researcher at UiT and serves as a reviewer for renowned deep learning conferences and marine journals. Before his academic pursuits, he garnered international industry experience at Samsung Electronics, where he was instrumental in researching and developing mobile communication devices.

[EI1] Maximizing Business Insights: The Intersection of Technology, Data Analytics, and Strategic Management

Date / Time	2024-07-30 11:00 -- 12:40
Room	OC1.02
Conveners / Chairs	DR. KANG, Esther University of Bristol Show Profile Esther Kang, Ph.D., is a Lecturer in Marketing at the University of Bristol, UK. Her research interests include consumer learning, memory, information search/overload, and information processing. Substantively, she investigates consumer psychology and behaviour related to technological experience, social media usage, and search engine inquiries. Prior to joining the University of Bristol, Esther worked as Assistant Professor of Consumer Psychology and Behaviour at the University of Cologne, Germany. She holds a Ph.D. in Marketing with a focus on Consumer Behaviour from the State University of New York at Buffalo, USA.
Synopsis	With the EKC2024 theme focused on impact, innovation, and connectivity for transforming tomorrow together, the session on "Maximizing Business Insights" explores the critical role of technology and data analytics in driving impactful decision-making and strategic management practices that pave the way for the future success of new technology. This session delves deep into how innovative approaches to data collection, analysis, and interpretation are reshaping traditional business strategy and driving organizational performance to new heights. The session will discuss how emerging technologies such as artificial intelligence, machine learning, and big data are revolutionizing the way organizations collect, process, and leverage data to gain valuable insights into market trends, consumer behaviour, and competitive management. Furthermore, the session will delve into the pivotal role of data analytics in driving informed decision-making and strategic planning processes. Participants will gain valuable insights into how leading organizations leverage data-driven strategies to optimize operations and enhance customer experiences. In summary, the division "Data Analytics and Management" offers a comprehensive exploration of how technology, data analytics, and strategic management intersect to drive impactful change and fuel organizational growth. Through thought-provoking discussions, real-world cases, and actionable insights, participants will gain the knowledge and inspiration needed to chart a course for success in an era of unprecedented technological disruption and digital transformation.
Speakers	MR. HA, Gyeong-gyun (King's College London) [ 11:00 - 11:20 ] Title: From Theory to Practice: Comprehensive Insights into Community Detection in Networks DR. SHIN, Jiyoung (University Of Bristol Business School) [ 11:20 - 11:40 ] Title: From Firms to Natural Resources: Shifting the Spotlight in Mining Company-Community Conflicts DR. PARK, Changwon (Brunel University London) [ 11:40 - 12:00 ] Title: Factors Driving Attraction and Retention of Booth Visitors in Commercial Exhibitions : An Analysis of Digital Trace Data DR. LEE, Eunji (Chalmers University Of Technology) [ 12:00 - 12:20 ] Title: Understanding eHealth service processes involving service design methods DR. KANG, Esther (University Of Bristol Business School) [ 12:20 - 12:40 ] Title: Cognitive Challenges in Double Discount Processing and Mitigation Strategies

[EI2] Envisioning the Future of Artificial Intelligence in Europe and Korea (Keynote & Round Table)

Date / Time	2024-07-31 09:00 -- 10:40
Room	OC1.01
Conveners / Chairs	DR. CHOI, Changkyu UiT The Arctic University of Norway/KSSEA Show Profile Changkyu Choi received his PhD degree in June 2023 from UiT The Arctic University of Norway, with a specialization in computer vision and deep learning applied to maritime image analysis. He is currently a postdoctoral researcher at UiT and serves as a reviewer for renowned deep learning conferences and marine journals. Before his academic pursuits, he garnered international industry experience at Samsung Electronics, where he was instrumental in researching and developing mobile communication devices.
Synopsis	Europe is charting a bold course into the future of artificial intelligence (AI). This keynote session, "Envisioning the Future of Artificial Intelligence in Europe and Korea," promises to be a seminal exploration of the pioneering AI research and development efforts underway in Europe, with a special focus on sustainable and ethical AI solutions. We are honored to welcome Professor Robert Jenssen at UiT The Arctic University of Norway as our keynote speaker. Professor Jenssen will present cutting edge deep learning and AI research conducted within the Visual Intelligence research centre, a Norwegian Center for Research-Based Innovation, which he directs. The talk will outline advances in AI methodology for, among others, applications in marine science, health and climate. The talk exemplifies the value of long-term international research collaboration. Following Professor Jenssen's keynote, a distinguished panel of experts will convene to discuss the broader implications of AI. This panel will feature leading voices from academia and industry, each bringing a unique perspective on how AI can drive innovation, sustainability, and inclusivity. We are pleased to announce our distinguished panelists, but the discussion will extend to the audience. Panelists: Prof. Robert Jenssen (UiT The Arctic University of Norway and SFI Visual Intelligence, Norway) Dr. Hyewon Seo (University of Strasbourg, France) Dr. Kangsoo Jung (INRIA, France)
Speakers	PROF. JENSSEN, Robert (Uit The Arctic University Of Norway) [ 09:00 - 09:50 ] Title: Towards eXplainable AI (XAI) with deep learning After a 10-minute break, the panel discussion will start at 10. [ 09:50 - 10:40 ]

[EI3] Deep Learning for Computational Medicine and Health Care

Date / Time	2024-07-31 11:00 -- 12:40
Room	OC1.01
Conveners / Chairs	DR. SEO, Hyewon Research director, CNRS--University of Strasbourg Show Profile Hyewon Seo is a permanently posted CNRS (French National Scientific Research Center) Research director at ICube (Laboratoire des sciences de l'ingénieur, de l'informatique et de l'imagerie), Université de Strasbourg. She was educated in South Korea and hold BSc and MSc degrees in computer science from the Korea Advanced Institute of Science and Technology (KAIST). After obtaining the PhD degree at the University of Geneva (MIRALab) in 2004, she worked as an assistant professor in the Computer Science and Engineering Department at the Chungnam National University, South Korea. During the period of 2004-2009, she had been supervisor of the Computer Graphics Laboratory there until I moved to France. Her research interest centers primarily around 3D shape and motion analysis and modeling, with focus on human data. She is the author of about 70 published articles in international journals and conferences, 4 book chapters, and 3 patents.
Synopsis	Deep learning, initially pioneered in the field of Computer Vision, is making significant strides in various fields, especially in medicine and healthcare. However, the efficacy of deep learning in these fields encounters challenges, primarily stemming from the scarcity of well-labeled datasets, issues of data imbalance and bias, and the imperative need for stringent data security and privacy measures. Overcoming these obstacles is pivotal to harnessing the full potential of deep learning in healthcare. In this session, we will present methodologies and cases illustrating the application of deep learning in medicine and healthcare. The discussion will encompass the transformative impact of deep learning on medical imaging analysis, bioinformatics, diagnostics, treatment planning, and patient care, providing valuable insights into its potential to revolutionize computational medicine and health care.
Speakers	DR. NOVOTNY, Johannes (VRVis, Vienna, Austria) [ 11:00 - 11:35 ] Title: Uncertainty in Medical Image Classification DR. CHOI, Changkyu (Uit The Arctic University Of Norway) [ 11:35 - 11:55 ] Title: Formulating Explainability Principles for a Self-explainable AI through Information Theoretic Learning MR. JUNG, Taewoo (Cancer Research Institute Ghent (crig) - Ghent University) [ 11:55 - 12:10 ] Title: Applications of a Histology Image-based Deep Learning Model in Molecular Profiling of Prostate Cancer MR. LIM, Jihwan (Ghent University) [ 12:10 - 12:25 ] Title: Gene Re-Prioritization in Cancer Cell Lines: Integrating Protein-Protein Interaction Networks with Genomic Profiles Through Graph Neural Networks DR. SEO, Hyewon (CNRS--Univ. Strasbourg, France) [ 12:25 - 12:40 ] Title: Enhancing Gait Video Analysis in Neurodegenerative Diseases by Knowledge Augmentation in Vision Language Model

[EI4] On-Device AI and the Future of AI Applications

Date / Time	2024-07-31 16:20 -- 18:00
Room	OC1.01
Conveners / Chairs	DR. KWON, Jagun Senior Technology Manager at Samsung Research UK Show Profile Jagun Kwon is a Senior Technology Manager/Staff Engineer at Samsung Research UK. In his role as the Head of DTV On-Device AI Part, he oversees challenging on-device AI and software projects for next-generation TVs. Prior to this position, he was a Principal Engineer and Project Lead at Samsung, contributing to the development of mission-critical software components deployed in millions of devices. Jagun’s academic journey includes roles as an Honorary Lecturer, Teaching Fellow, and Postdoctoral Researcher at University College London (UCL), where he taught Advanced Operating Systems, Programming, and Database modules as the main instructor. His research interests led him to investigate a novel software architecture for dynamic, reconfigurable IoT devices, and developed a lightweight, reconfigurable component-based middleware with a real-time group scheduler. Additionally, Jagun made significant contributions to the standardization efforts of Safety Critical Java. He developed a high-integrity profile for the language and a resource allocation model while working as a Research Assistant at the University of York and as a Senior Engineer at the Samsung CTO Software Centre in South Korea. He holds a PhD in Real-Time Software Engineering from the University of York and a B.Sc (Hon) degree in Computing from the University of Northumbria.
Synopsis	Artificial Intelligence (AI) has undergone remarkable transformations over the years, from theoretical concepts to practical applications. One of the most exciting developments is the shift toward on-device AI, where AI models and computations occur directly on edge devices such as smartphones, laptops, and IoT gadgets. This paradigm offers several advantages, including improved performance, privacy, and security. As we look ahead, understanding the implications and potential of on-device AI becomes crucial for shaping the future of AI applications. The purpose of this session is to explore the landscape of on-device AI and its impact on the broader AI ecosystem. We aim to delve into the following key aspects: Technical Advancements: How have recent breakthroughs in hardware and software enabled efficient on-device AI? What are the challenges and opportunities in deploying AI models directly on edge devices? Scalability and Efficiency: Can on-device AI scale to meet the growing demands of generative AI applications? How can we strike a balance between computational efficiency and model accuracy? Privacy and Security: What safeguards are necessary to protect user data when AI processes occur locally? How can we ensure robust security without compromising performance? Use Cases and Real-World Applications: Explore successful use cases of on-device AI across domains such as healthcare, autonomous vehicles, and natural language processing. How can we leverage this technology to create meaningful solutions? The significance of this session lies in its potential to shape the trajectory of AI development. By discussing on-device AI, we empower researchers, practitioners, and policymakers to make informed decisions. Here’s why this topic matters: Cost-Efficiency: On-device AI reduces the need for constant cloud communication, resulting in cost savings for both developers and end-users. Global Accessibility: Edge devices are ubiquitous, making on-device AI accessible to a diverse global audience. It democratizes AI by bringing powerful capabilities to regions with limited connectivity. Privacy Preservation: As concerns about data privacy grow, on-device AI ensures that sensitive information remains local. Users retain control over their data, fostering trust in AI systems. Resilience and Latency: In scenarios where low latency is critical (e.g., autonomous vehicles), on-device AI ensures real-time decision-making without relying solely on cloud infrastructure. The future of AI is undoubtedly hybrid, with on-device AI playing a pivotal role. Join us in this session to explore the intersection of technology, ethics, and innovation. Let’s collectively shape a future where AI serves humanity effectively, securely, and sustainably.
Speakers	DR. KIM, Hansung (University of Southampton) [ 16:20 - 16:45 ] Title: Audio-Visual Virtual Reality as an AI Application DR. KO, Youngwook (University of York) [ 16:45 - 17:10 ] Title: Distributed Multi-Agent Q-Learning Gains for Mega-Machine Type Networks PROF. CHANG, Hyung Jin (University of Birmingham) [ 17:10 - 17:35 ] Title: Human-centred visual learning and its applications PROF. JO, Hyunggi (Jeonbuk National University) [ 17:35 - 18:00 ] Title: Large-scale 3D Map Building Using Multiple Camera-Based Visual SLAM and Enhanced Visual Localization Method

[EI5] Innovative Semiconductor Devices, Circuits, Packaging and Systems, and their Scientific and Industrial Applications

Date / Time	2024-08-01 09:00 -- 10:40
Room	OC1.01
Conveners / Chairs	DR. CHOI, Jung Han Fraunhofer Heinrich-Hertz Institute Show Profile Jung Han Choi received the doctor degree (Dr.-Ing.) from the Technical University of Munich, Munich, Germany in 2004. From 2001 to 2004, he was a research scientist in the Institute for High-Frequency engineering at the Technical University of Munich, Germany. From 2005 to 2011, he was with the Samsung Advanced Institute of Technology and the Samsung Digital Media & Communication Research Center where he worked on the RF bio-health sensor, nano devices and RF/millimeter-wave circuit design including 60 GHz Si CMOS ICs. In 2011 he joined at the Fraunhofer Institute (Heinrich-Hertz Institute), Berlin, Germany and holds tenured position and senior project manager. Now he is working on ultra-low power high data bit rate transmitter and receiver circuits for optical communications/sensing/Quantum, microwave devices, electromagnetic simulations, and network analyzer measurement up to 220 GHz. His current research interests range from microwave active/passive devices & IC, electromagnetic simulation & analysis, and metamaterials. He holds 19 international registered and 22 pending patents in the area of semiconductor device, circuits, and systems for high-frequency engineering. He published > 100 international papers, 3 books and 3 book chapters. In 2003, he was awarded for the EEEfCOM (Electrical and Electronic Engineering for Communication) Innovation prize 2003 for the contribution to the development of the high-speed receiver circuit, was acknowledged a finalist in the Yong Engineer Prize at the European Microwave Conference 2004, served as an outstanding reviewer award of 2016 for IEEE Journal of Lightwave Technology, and a co-recipient of EuMIC(European Microwave Integrated Circuit Conference) 2021 Conference prize. He also was awarded for the KIAT President Award in 2021 (KIAT: Korea Institute for Advancement of Technology) for the contribution to promote R&D projects with korean institutions, and awarded for the KOFST President Award in 2023 (KOFST: The Korean Federation of Science and Technology Societies). In 2023, he served as a member of global R&D National Advisory Board in the Ministry of Science and ICT in Korea. He is an IEEE senior member. DR. CHOI, Heungjae Cardiff University Show Profile Dr Heungjae Choi is a Lecturer in High Frequency Engineering at Cardiff University, Wales, UK. His research interests include on-wafer characterisation of active and passive semiconductor devices, RF-IV waveform measurement and engineering via active harmonic loadpull, high efficiency power amplifier design, microwave material characterization and sensing, with strong emphasis on interdisciplinary aspects of application of microwaves in tackling real-world challenges.
Synopsis	Up-to-date semiconductor technologies, such as, wide bandgap compound semiconductors (e.g. SiC, GaN), novel materials for device and packaging, opto-electronics, the next generation wired and wireless communication, and Quantum computing/communications allow us to impact future societies that have not been possible ever before. Also, the unique properties of electromagnetic waves enable the use of RF and Microwave technology as a platform for interdisciplinary research projects in tackling global challenges such as non-invasive physiological signal monitoring and rapid diagnosis of infectious diseases. This session not only focuses on RF and microwave circuits, packaging and system for the next generation wireless and wired communications, but also aims to invite researchers from fundamental Science and industry involved in interdisciplinary research projects who work with RF and microwave technology.
Speakers	PROF. KIM, Jung Mu (Jeonbuk National University) [ 09:00 - 09:20 ] Title: CPW sensor for nerve-agents detection DR. CHOI, Jung Han (Fraunhofer Heinrich-hertz Institute) [ 09:20 - 09:40 ] Title: Glass substrate technology for modern 3D package DR. KIM, Juwan (Rf Materials) [ 09:40 - 10:00 ] Title: Compound semiconductor package technology trends and recent development of RF materials DR. CHOI, Heungjae (Cardiff University) [ 10:00 - 10:20 ] Title: RF GaN Devices and Characterization MR. LEE, Junho (Rise Research Institutes Of Sweden Ab) [ 10:20 - 10:40 ] Title: Advancing Power Devices with Wide Bandgap Materials: SiC and GaN Technologies for High-Power Applications

[EI6] Theory and Practice of Computer Science and Innovative Information Technology

Date / Time	2024-08-01 11:00 -- 12:40
Room	OC1.01
Conveners / Chairs	DR. KIM, Ju Hoon Deutsche Telekom AG Show Profile Juhoon Kim is currently employed at Deutsche Telekom AG in Germany, where he primarily focuses on analyzing the impact of technology and conducting pilot studies on emerging technologies. Additionally, he is involved in various projects funded by the EU or the German government, which are centered on next-generation mobile technologies (6G) and future network developments. Prior to this, he earned his Ph.D. and M.Sc. degrees in Computer Science from TU Berlin.
Synopsis	The traditional realms of Computer Science and Information Technology, which encompass algorithms, data, and theory, have experienced revolutionary changes over the past decades. These changes have brought about significant modifications in various aspects of our lives, including entertainment, housekeeping, communication, healthcare, industry, education, and commuting. Such evolution can be attributed to advancements in software development paradigms, improvements in both computing and networking infrastructure, and the progressive development of inherent philosophies in technology. This session primarily focuses on generic Computer Science and Information and Communications Technology (ICT) topics. Consequently, it aims to invite and select speakers from both academic and industrial backgrounds to present their latest research work.
Speakers	DR. CHEONG, Jae Sook (University Of Bayreuth) [ 11:00 - 11:40 ] Title: Digitalization and Data Management as a fundamental basis for AI DR. JUNG, Kangsoo (Inria) [ 11:40 - 12:00 ] Title: Advancing Personalized Federated Learning: Group Privacy, Fairness, and Beyond MISS. SONG, Jayeong (University Of Oslo) [ 12:00 - 12:20 ] Title: Modeling programming processes for providing feedback using limited data DR. KIM, Juhoon (Deutsche Telekom AG) [ 12:20 - 12:40 ] Title: The Critical Role of Time Synchronization in Modern Telecommunications

[EI7] New Technological Developments for Supporting Healthcare

Date / Time	2024-08-01 14:00 -- 15:40
Room	OC1.01
Conveners / Chairs	PROF. KIM, Yeongmi Department Medical & Health Technologies, MCI, Austria Show Profile Yeongmi Kim is currently a professor in the department of Medical & Health Technology, MCI, Austria. Her principal research interests are sensory-motor rehabilitation, assistive technology, medical robotics, human computer interaction, and haptic feedback interfaces. She obtained her PhD in Mechatronics from GIST in 2010 and worked as a postdoctoral Researcher, research associate at ETH Zurich at the Rehabilitation Engineering Lab.
Synopsis	Medical engineering and healthcare technology, through advancements in signal processing, digital technology, artificial intelligence, and robotics, have firmly established themselves as essential elements in modern healthcare. This integration of technologies allows for enhanced outcomes in patient diagnosis, treatment, and monitoring across various aspects of healthcare. Medical technology is often interdisciplinary, requiring collaboration between the fields of medicine, engineering, and information science. Therefore, the purpose of this session is to share the latest research outcomes in the field of medical engineering and health technology. Furthermore, we aim to promote knowledge exchange, discuss the challenges and opportunities in future healthcare, and foster collaboration between academia and industry. This session invites everyone interested in advancing healthcare through the exploration of medical engineering and health technology. We also invite presenters who would like to share innovative research or provide insights into current trends. This session covers a diverse array of topics, including but not limited to: • Artificial Intelligence in Healthcare • Artificial Organs and Implants • Assistive Technologies • Bioinformatics • Biosensing and Instrumentation • Brain-Computer Interfaces • Medical Image Analysis • Medical Robotics • Musculoskeletal Modeling/Physiological Modeling • Neuroengineering and Rehabilitation • Prosthetics and Orthotics • Regulatory Trends in Medical Devices • Surgical Systems
Speakers	PROF. HARDERS, Matthias (University Of Innsbruck) [ 14:00 - 14:30 ] Title: New Technological Developments for Surgical Simulation MR. NOH, Junhyun (Electrical Engineering Mathematics And Computer Science(eemcs), University Of Twente) [ 14:30 - 14:45 ] Title: AR Demonstrator for Healthcare at Home MR. WINKLER, Simon (MCI) [ 14:45 - 15:05 ] Title: Development of a Mobile Device to Prevent Accidental Drowning by Monitoring Respiratory Activity MS. OH, Min Young (Semmelweis University) [ 15:05 - 15:20 ] Title: Automatic detection and diagnosis of focal liver lesions based on multiparametric hepatocyte-specific contrast-enhanced magnetic resonance imaging PROF. KIM, Yeongmi (MCI) [ 15:20 - 15:40 ] Title: Digitization of Rehabilitation for Enhanced Stroke Recovery

PROGRAMME