CONF-MLA 2024

Çukurova University, Adana, Turkey

Symposium Chair: Dr. Mustafa ISTANBULLU, Assistant Professor in Çukurova University

The "Electrical Impedance Tomography (EIT) Basics and Applications" symposium was organized to provide an overview of EIT principles, simulations, and applications, with a specific focus on hands-on exercises using software tools like COMSOL Multiphysics and MATLAB. The event attracted participants from various disciplines, including biomedical engineering, electrical and electronics engineering, and medicine. Attendees, including researchers and students from various disciplines such as biomedical engineering and medicine, engaged in hands-on exercises using software like COMSOL Multiphysics and MATLAB, allowing them to bridge theoretical concepts with practical implementation. The event fostered interdisciplinary collaboration and knowledge-sharing. Participants expressed positive feedback, noting the value of hands-on sessions and the interactive format. Suggestions included offering advanced symposiums focused on specific EIT applications or expanding on the use of simulation tools. The success of this symposium was made possible by the contributions of organizers, instructors, and enthusiastic participants.

Quick Link: CONF-MLA 2024 Symposium -- Adana - YouTube

Tianjin University, Tianjin, China

Symposium Chair: Dr. Guozheng Rao, Associate Professor in Tianjin University

The symposium Neural Computing and Applications Symposium 2024 was successfully held on Nov. 21, 2024 at B217 Building 55, College of Intelligence and Computing, Tianjin University Beiyangyuan Campus by Professor Guozheng Rao and Li Zhang. More than 30 attendees attending the symposium were mainly researchers from Tianjin University, Westlake University, Tianjin University of Science and Technology, Huaiyin Normal University, Hebei University of Engineering, EWA Publishing, etc. The symposium showcased some of the latest research conducted in the area of neural computing and large language model as well as its applications. Some of the topics discussed including Event Detection Model Based on the Fusion of Hierarchical Syntactic and Type Semantic Features, Construction and performance analysis of DC servo system based on operational amplifier, Detecting Rumors from Multiple Angles with Consideration of User Credibility, Implicit and Explicit Rule Injection for Complex Query Answering over Knowledge Graphs, SR-LLM: Rethinking the Structured Representation in Large Language Model, Explainable Fact Verification via Multi-Agent Debate with LLM-Based Judgment, and Steering Transformer-based LLM with Head-wise Scaled Aligning Instruct.

Illinois Institute of Technology, Chicago, USA

Symposium Chair: Dr. Marwan Omar, Associate Professor in Illinois Institute of Technology

This symposium offers an immersive journey into the world of Generative Adversarial Networks (GANs), blending theoretical foundations with practical applications. It's designed for a wide audience, from AI newcomers to seasoned professionals, ensuring comprehensive learning for all. Participants will delve into the basics of GAN architecture, understanding the dynamic between the Generator and Discriminator networks. They'll explore the evolution of GANs, their current applications in various fields, and the ethical implications surrounding this technology. Practical sessions form a core part of the symposium, where attendees will gain hands-on experience in coding and training GAN models. These sessions are crafted to enhance practical skills, enabling participants to implement their learnings in real-world scenarios. The symposium also facilitates networking, allowing participants to connect with peers and experts in the field. Our symposium aims to demystify the complexities of GANs, providing a comprehensive background that combines theoretical understanding with practical insights. Participants will explore the history, development, and current applications of GANs, gaining a solid foundation in this transformative technology. Whether you're a beginner in AI or an experienced practitioner, this symposium will enhance your understanding and skills in the realm of generative models. Overall, this symposium promises a balanced mix of education, practical skill-building, and networking opportunities, providing a holistic understanding of GANs and their impact on the future of AI.

China Agricultural University Smart Sensing Group, Beijing, China

Symposium Chair: Dr. Xinqing Xiao, Associate Professor in China Agricultural University

The symposium “Machine Learning assisted Automation Sensing System” was successfully held on October 21, 2024 at the College of Engineering, China Agricultural University chaired by Assoc. Professor Xinqing Xiao. The 11 students attending the symposium were mainly doctor, master and international students from the discipline of mechanical and electronic engineering and agriculture engineering, and 2 researchers accounting at China Agricultural University. The symposium showcased some of the latest research conducted in the area of machine learning assisted automation sensing system, technologies and applications as well as overlaps between the subjects. Some of the topics discussed including examination of machine learning and intelligent automation systems topics or have implications for machine learning assisted automation sensing system, technologies, applications and the development trends in future. The symposium also has discussed the possible application in smart agriculture, food monitoring etc. by using machine learning assisted automation sensing technologies.

Quick Link: CONF-MLA 2024 Symposium -- Beijing - YouTube

University of Strathclyde, Glasgow, UK

Symposium Chair: Prof. Anil Fernando, Professor in University of Strathclyde

The symposium provided an opportunity to understand the basic concepts of semantic communication and how such systems can be used to secure data transmission. We had extensive discussions on the security of semantic communication and explained them as relatively sparse, especially regarding the robustness of these systems against attacks targeting the semantic content of the data. We demonstrated our research which tried to fill this gap by investigating the security of semantic communication systems under realistic threat scenarios.
We further demonstrated our basic findings on semantic based secure data transmission with emulators, and participants got some hands-on experience of designing such systems and engaged with several researchers from the multimedia communications research group to explore these technologies. The experienced participants gained not only underscore the significance of semantic security but also will pave the way for the development of more secure and resilient communication frameworks in the future for multiple applications.

Quick Link: CONF-MLA 2024 Symposium -- Glasgow - YouTube

Title: Semantic Communication Based Video Coding Using Temporal Prediction of Deep Neural Network Parameters
Presented by: Prof. Anil Fernando, Professor in Vision Processing and Communications

Title: Investigatingthe Limitations of Adversarial Training for Language Models in Realistic Spam Filter Deployment Scenarios
Presented by: Dr. Marwan Omar, Illinois Instiute of Technology

Title: An Automated Smoking Simulator for Dental Researchs
Presented by: Mustafa ISTANBULLU, Dept. of Biomedical Engineering, Çukurova University, TÜRKİYE