Laszlo T. Koczy received the M.Sc., M.Phil. and Ph.D. degrees from the Technical University of Budapest (BME) in 1975, 1976 and 1977, respectively; and the D.Sc. degree from the Hungarian Academy of Science in 1998. He spent his career at BME until 2001, and from 2002 at Szechenyi Istvan University (Gyor, SZE). He has been from 2002 to 2011 Dean of Engineering, and from 2013 to 2022 President of the University Research Council and of the University Ph.D. Council. From 2012 to current he has been a member of the Hungarian Accreditation Committee (for higher education), appointed by the Prime Minister, and elected Chair of the Engineering and Computer Science sub-committee, member of the Professors and Ph.D. sub-committee, and had been a member of the National Doctoral Council between 2012 and 2022, etc. etc. He was a visiting professor in Australia (ANU, UNSW, Murdoch and Deakin), in Japan (TIT, being LIFE Endowed Fuzzy Theory Chair Professor), in Korea (POSTECH), Poland AGH University, Austria (J. Kepler U.), and Italy (U. of Trento), etc. His research interests are fuzzy systems, evolutionary and memetic algorithms and neural networks as well as applications. He has published over 850 articles, most of those being refereed papers, and several text books and numerous edited volumes on the subject. His Hirsch-index is 43 by Google Scholar (based on more than 8600 citations there). His main results are: he did introduce the concept of rule interpolation in sparse fuzzy models, and hierarchical interpolative fuzzy systems, fuzzy Hough transform, and also fuzzy signatures and fuzzy situational maps, further fuzzy signature state machines among others. He also proposed a family of memetic and hybrid algorithms (Bacterial Memetic Algorithm, Discrete Bacterial Memetic Algorithm, etc.) which, among others, provides the best solutions to the Minimum Latency Traveling Salesman Problem. His research interests include applications of CI for telecommunication, transportation and logistics, vehicles and mobile robots, control, information retrieval, etc. He was Lead Guest Editor at Complexity, Algorithms and Symmetry. He was an Associate Editor of IEEE TFS for several periods, and is now AE of Fuzzy Sets and Systems, Int. Journal of Fuzzy Systems, Journal of Advanced Computational Intelligence, Int. J. of Fuzzy Systems, Soft Computing, etc. He is a Fellow of IFSA, of ISME and of the Hungarian Academy of Engineering. He was the founding President and is the Life Honorary President and the Grand Prize recipient of the Hungarian Fuzzy Association, was President, etc. of IFSA, AdCom member of IEEE CIS, and of IEEE Systems Council, etc. He is a member of the St. Stephan Academy of Science (2016), and foreign member of the Polish Academy of Science (2017), he received Prof. h.c. and Dr. h.c. titles from various universities. He has the 2020 recipient of the IEEE Fuzzy Pioneer Award

Adrian David Cheok AM FIET FIEAust FRSA is Full Professor at Nanjing University of Information Science and Technology, Director of the Imagineering Institute, Malaysia, Visiting Professor at Raffles University, Malaysia, Visiting Professor at University of Novi Sad-Serbia, on Technical faculty “Mihailo Pupin”, Serbia, Faculty of Ducere Business School, and CEO of Nikola Tesla Technologies Corporation. In 2024, Professor Adrian David Cheok was honored with induction as a Full Member into Sigma Xi USA, The Scientific Research Honor Society, a recognition that not only signifies his dedication to scientific excellence but also aligns his contributions with those of groundbreaking researchers. Sigma Xi is a beacon of distinction within the global scientific community, boasting over 200 Nobel Laureates among its members, including luminaries such as Albert Einstein. This prestigious society is renowned for its commitment to the advancement of science and engineering and includes among its distinguished members other eminent personalities like Linus Pauling and Guglielmo Marconi, whose pioneering work has indelibly shaped the landscape of modern science and innovation. Professor Cheok’s association with Sigma Xi marks a pinnacle in his career, affirming his commitment to the ethos of rigorous and impactful scientific inquiry.

Atef Haikal- Top performing engineering leader with 25 years of experience in Biotech (GSK Vaccines) and FMCG (P&G).Combining Biotech strict compliance needs and complex processes with the agility, attention to cost, efficiency and speed of FMCG. Mastery of portfolio and project management state of the art trends. Led projects worth €1.9 billion globally. PMP certified. Various business transformation awards related to project delivery excellence, new product launches, brown/greenfield projects, standardization, EPLCM, technical innovation in project and process design (3 granted patents). Managed global engineering teams and worked in North America, Europe, Asia, and MEA. Strong experience in organizational development and transformation leveraging scale, synergies, and external partnership.

Douglas Amante, an artificial general intelligence innovation pioneer, is leading the creation of ground-breaking new devices that integrate exoskeleton technology and artificial general intelligence. His imaginative approach focuses on developing adaptable exoskeletons that not only give physical support to workers, but also employ artificial intelligence to learn and respond to particular user demands in real time. This combination of mechanical help and intellectual flexibility promises to improve worker safety, minimize tiredness, and boost overall productivity. Under Douglas Amante's direction, these cutting-edge technologies are poised to alter industries by providing individualized ergonomic assistance that grows with the user, therefore setting a new standard for workplace productivity and wellness.

20+ years of advanced analytics, data science, database design, architecture, and implementation on various platforms to solve Complex Industry Problems. Industrial Analytics is the fusion of manufacturing, production, reliability, integrity, quality, sales- and market-analytics and covering 10 Industries. By combining skills and experience, we are creating the next-generation AI & ML Solutions for our clients. Leveraging a unique formula which allows us to model some of the most challenging manufacturing problems while building, scaling, and enabling the end-user to leverage the next generation data products. Strategy & Innovation at Schneider is specialising on Industrial-Grade Challenges where we are applying next generation ML & AI methods to achieve state of the art results. Personally, I am driving my team and my own education to extend the limits of AI & ML beyond the current possible. I hold more than 15 patents and I am working on new innovations. I am working with our partner eco-system to enrich our accelerators with modern ML/AI techniques and integrating robotic equipment allows me to create next generation solutions

He is Full Professor at the Department of Economics, Management, Industrial Engineering and Tourism (DEGEIT), University of Aveiro - Portugal. He is Coordinator of the Scientific Area of Industrial Engineering and Director of the 3rd Cycle (doctoral programme) in Industrial Engineering and Management. He holds a B.Sc. in Mechanical Engineering (1994), a PhD degree in Production Engineering (2003) and Habilitation for Full Professor "Agregação" (2014) in Industrial Engineering and management. He is full researcher at the Research Unit on Governance, Competitiveness and Public Policies (GOVCOPP) and member of the Industrial Engineering and Management Research Group. His areas of research focus in Industrial Engineering and Management in general, and Green and Agile Management Systems and Eco-efficiency and Industrial Sustainability in Particular, mainly directed towards Enterprise Challenge Based Research. He has been involved in several research projects and is author or co-author of more than 250 articles published in several international journals and congresses proceedings.

Farell Folly has established himself as a leading expert in cybersecurity, cloud architecture, and IT project management. His extensive experience in both military and civilian sectors showcases a unique blend of strategic leadership, technical expertise, and a deep commitment to enhancing security in diverse environments. Farell began his journey with a solid educational foundation, earning a Master's degree in Electrical Engineering with a specialization in Telecommunications from the Royal Military Academy in Brussels. He further advanced his academic pursuits with ongoing Ph.D. studies at Bundeswehr University, Munich, focusing on IoT security and graph-theoretic approaches to mitigate malware propagation. His professional career is marked by notable positions and achievements. As a Senior Expert in Industrial Cybersecurity at TÜV SÜD Industry Service in Munich, Farell enriched the global service portfolio and developed comprehensive cybersecurity evaluation criteria and guidelines. His role involved supporting industrial clients, implementing pilot projects, and representing TÜV SÜD in national and international cybersecurity committees.

Anivandro Bonatto, Asset and integrity senior manager, CMRP professional with strong expertise in oil and gas, mining and automotive industry, my approach integrates proactive strategies, from overseeing structural maintenance to driving special commissioning, reliability process maintenance and engineering fostered an environment where growth and operational excellence were paramount.

Adriano Fagali de Souza obtained his Dr in Mechanical Engineering from the University of São Paulo-USP, Brazil in 2004, manufacturing process. He is an associate professor at the Federal University of Santa Catarina – UFSC, BRAZIL. He acts and coordinates several research projects, in topics related to the manufacture employing the chain CAD / CAM / CNC - CAx - manufacturing of complex shapes. He is the leader of the Computer Aided Manufacturing Research Group - GPCAM. Author of the book 4 books on this field. He is an associate Editor of the Journal of the Brazilian Society of Mechanical Sciences and Engineering - Springer. He has several scientific publications and patents. He is a member of the Advisory Committee of the Technology Areas of the ENADE (National Student Performance Exam). Evaluator of Higher Course of INEP - Engineering Department. Member of the technical committee of Engineering of Manufacturing of the Brazilian Association of Mechanical Sciences - ABCM.

Xiaoyan Dai Received her Ph.D. in image processing from Muroran Institute of Technology in Japan in 2004, specializing in computer vision and machine learning. Since then, she has focused on image processing and document processing at Canon Inc. In 2019, she joined the Research Center of Kyocera Corporation as an Expert. Her current interests include deep learning and computer vision for object detection, fraud detection, object recognition, and object tracking. She serves as a organizing committee member for multiple international conferences.