| Title & Full Name | Dr. Ignacio Sanjuán Moltó |  |
| Affiliation | Institute of Advanced Materials (INAM) at University Jaume I Castelló de la Plana, Spain | |
| Presentation Title | Advanced memristors and electrochemical transistors for next-generation neuromorphic computing | |
| Abstract | ||
| Biographical Sketch | Ignacio Sanjuán is a researcher at the University Jaume I (Spain) working within the prestigious Marie Skłodowska-Curie Actions postdoctoral program of the European Commission. His research focuses on the development of advanced electrochemical materials and devices for sustainable energy technologies, next-generation computing, and bioinspired electronics. His work combines electrochemistry, materials science, and device engineering to understand and control ionic and electronic transport processes in functional materials. He has extensive experience in electrocatalysis for energy conversion reactions and in the development of advanced memristors and organic electrochemical transistors for neuromorphic computing and other applications. Ignacio is committed to advancing the field of energy-efficient electronic systems and sustainable electrochemical technologies with strong potential to address major global challenges. | |
| Email: | isanjuan@uji.es | |
| Title & Full Name | Professor Carsten Wolff |  |
| Affiliation | Fachhochschule Dortmund – University of Applied Sciences and Arts (Dortmund, Germany) | |
| Presentation Title | Aspects of the digital transformation of security and warfare on the example of small military drones development | |
| Abstract | ||
| Biographical Sketch | Carsten Wolff is a Professor for Computer Engineering at Dortmund University of Applied Sciences and Arts (FH Dortmund) since 2007. He studied electrical engineering and economics at Paderborn University and did a PhD in information technology at the Heinz Nixdorf Institute. He worked in semiconductor industry (Infineon AG) as head of department and program manager on the development of ASICs and processors. At FH Dortmund, he is the spokesman of the “European Partnership for Project and Innovation Management (EuroPIM)” and co-founder of the Master Embedded Systems Engineering and Master Digital Transformation. From 2011-2015 he was the vice-rector for study, teaching, and international relations. From 2019-2022 he was the provost and vice-rector of Astana IT University (AITU) in Kazakhstan. Carsten Wolff is a director of the “Institute for the Digital Transformation of Application and Living Domains (IDiAL)” and co-founder of Smart Mechatronics GmbH, Desenberg Energie GmbH&CoKG and CP contech electronic GmbH.Research areas and fields of expertise: Embedded Systems Engineering, Digital Electronics, Project Management | |
| Email: | carsten.wolff@fh-dortmund.de> | |
| Title & Full Name | Associate Professor Galia Zamaratskaia |  |
| Affiliation | Sweden Agricultural university, Uppsala Sweden | |
| Presentation Title | Artificial intelligence for meat quality prediction. European experience and applications | |
| Abstract | ||
| Biographical Sketch | Associate Professor Galia Zamaratskaia is a food scientist with extensive experience in animal and plant food science, the metabolism of bioactive compounds and cytochrome P450 enzymes, and the study of toxic compounds in foods. In addition to her traditional research, she has become interested in applying digital and AI-based approaches to support food quality assessment and monitoring. She has taught courses and supervised projects on data-driven methods in food analysis, with a particular interest in developing tools for evaluating meat composition and nutritional quality.Her work integrates classical food science with emerging technologies, emphasizing analytical methods, statistical analysis, and sustainability considerations. Professor Zamaratskaia is actively developing this interdisciplinary area through future research and collaborative initiatives. Main research areas / fields of expertise:Meat science and food quality assessment;Biochemical mechanisms affecting flavor, nutrition, and processing;Emerging interest in AI and data-driven approaches for food analysis;Sustainable food systems and valorisation of animal-based products;Teaching and supervising statistical/analytical methods in food research | |
| Email: | galia.zamaratskaia@slu.se | |
| Title & Full Name | Professor Andreas Pester |  |
| Affiliation | British University in Egypt, Cairo, Egypt | |
| Presentation Title | Are Kolmogorov-Arnold-Networks the New MLP? Achievements in Health&Science | |
| Abstract | Recent advances in Kolmogorov–Arnold Networks (KANs) have introduced a novel paradigm in neural network design, shifting from traditional weight-based representations to function-based learning grounded in the Kolmogorov–Arnold representation theorem. This keynote examines whether KANs can be considered a successor to the widely used Multi-Layer Perceptrons (MLPs), particularly in the context of scientific and health-related applications.We first contrast the theoretical foundations of MLPs and KANs, highlighting the transition from fixed activation functions to learnable univariate function compositions, which enable more structured and interpretable representations. Building on this framework, we present empirical results from time-series analysis (ECG data) and physics-informed modeling (partial differential equations, including Burgers’ equation), demonstrating that KAN variants—especially those based on Chebyshev polynomials—can achieve competitive or superior performance while significantly reducing model complexity.Furthermore, we explore the integration of KANs into geometric deep learning architectures, such as SchNet, showing improvements in both accuracy and computational efficiency in scientific machine learning tasks. Complementing these technical results, a quantitative analysis of recent literature reveals a rapid growth in KAN-related publications, with a strong emphasis on applied domains such as scientific computing, biomedical analysis, and engineering systems.We conclude that, while KANs do not yet replace MLPs in large-scale industrial settings, they represent a promising complementary paradigm, particularly for problems where inductive bias, interpretability, and structured function approximation are critical. The results suggest a future direction toward hybrid architectures, combining the scalability of MLPs with the expressive and interpretable nature of KANs. | |
| Biographical Sketch | Andreas Pester graduated in mathematics from Odessa State University in 1976, he got his PhD from Kiev State University in 1979 and he habilitated at the University of Technology Dresden in 1984. 2020 he retired from the University of Applied Sciences in Carinthia in Austria. Currently he is a professor for machine and deep learning at the British University in Egypt in Sherouk.His research interests are in deep learning, especially GNN architectures and Large Language Models | |
| Email: | andreas.pester@bue.edu.eg | |
| Title & Full Name | Associate Professor Faisal Saeed |  |
| Affiliation | Birmingham City University, Birmingham, United Kingdom | |
| Presentation Title | Computational Intelligence Methods for Advancing Healthcare Support Systems | |
| Abstract | ||
| Biographical Sketch | Faisal Saeed is an Associate Professor at the Department of Computer Science, Birmingham City University. He is leading the MSc Artificial Intelligence course and Research Summer School at the Department. He received his BSc in Computers (Information Technology) from Cairo University, Egypt, in 2005, followed by a MSc in Information Technology Management and a PhD in Computer Science from UTM, in 2010 and 2013, respectively. Faisal’s research interests include artificial intelligence, data science, information retrieval, and health informatics. He has an outstanding publication record in prestigious high-impact factor journals and presented papers at several international conferences. Moreover, Faisal has secured several research funds from various sponsors in Malaysia, Saudi Arabia, and the UK. His contributions have been recognized with several research awards, including the Researcher of the Year (BCU), Research Staff Award (BCU), Best Paper Awards from three international conferences, Chancellor Award (UTM), and Gold, Silver, and Bronze Medal awards from innovation exhibitions. | |
| Email: | Faisal.Saeed@bcu.ac.uk | |
| Title & Full Name | Professor Sergiy Gnatyuk |  |
| Affiliation | National University “Kyiv Aviation Institute”, Kyiv, Ukraine / Scientific Cybersecurity Association of Ukraine | |
| Presentation Title | Cyber Resilience of Critical Infrastructure under Hybrid Threats: Lessons from Ukraine (2014-2026) | |
| Abstract | The presentation examines sophisticated cyberattacks on industrial control systems, disruptions to communication and energy grids, and the weaponization of emerging technologies. Particular attention is devoted to the wartime context of Ukraine (during 2014-2026), where critical infrastructure has been systematically targeted through coordinated military and hybrid operations. The study highlights Ukraine’s unique lessons and outlines advanced countermeasures and projects (infrastructure, research, and educational), including training programs and platforms (cyber ranges, CTFs and cyber competitions), AI/ML-driven security systems, quantum-safe encryption, 5G/6G incident response frameworks that support both preventive and responsive strategies. | |
| Biographical Sketch | Sergiy Gnatyuk holds Ph.D. (2011) and D.Sc. (2017) in Cybersecurity, and is a Full Professor in Computer Science (2021). Sergiy is Vice-Rector for Research and Technology Transfer at National University “Kyiv Aviation Institute”, Scientific Advisor of the KAI Cybersecurity R&D Lab, and President of the Scientific Cybersecurity Association of Ukraine. He coordinates cooperation between the Kyiv Aviation Institute and international organizations (ECSO, NetworldEurope, EC Council, USAID, CRDF Global, RangeForce, ISACA, 6G-IA, PEGASUS etc). Prof. Gnatyuk participates in research projects funded by Horizon Europe, Erasmus+ Capacity Building, NATO SPS, Shota Rustaveli National Science Foundation of Georgia, etc. Also, Sergiy is a cybersecurity expert and consultant to the NATO CCD COE, as well as to various state and private Ukrainian and international organizations. He is a speaker, organizer of many global cybersecurity events, and author of over 300 books, patents, and papers. Also, he is a visiting professor at universities in Poland, Georgia, and Kazakhstan. The topics of the papers and books are cybersecurity, AI/ML-based security, cryptography, QKD, 5G/6G security, incident response, critical information infrastructure protection, and others. | |
| Title & Full Name | Professor Mohamed Elhoseny |  |
| Affiliation | University of Sharjah, Sharjah, United Arab Emirates | |
| Presentation Title | Intelligent Information Systems for the Future of Healthcare Delivery | |
| Abstract | ||
| Biographical Sketch | Mohamed Elhoseny is an Associate Professor at the Department of Information Systems, College of Computing and Informatics, University of Sharjah, UAE, and a Professor Information Systems at the faculty of Computing and Information at Mansoura University, Egypt. He is also an ACM Distinguished Speaker and an IEEE Senior Member. Dr. Elhoseny is the Founder and Coordinator of the Intelligent Information Systems and Applications Research Group at the University of Sharjah. He has authored or co-authored over 360 publications in prestigious journals, book chapters, and conference papers, and has authored or edited 32 international books published by recognized publishers such as Springer and Elsevier. His research interests include Smart Cities, Information Security, Artificial Intelligence, the Internet of Things, and Intelligent Systems. Dr. Elhoseny founded and serves as Editor-in-Chief of the IJSSTA journal, published by IGI Global, and is an Associate Editor for several Q1 journals, including Alexandria Engineering Journal, IEEE Access, Scientific Reports, IEEE Future Directions, Remote Sensing, the International Journal of E-services and Mobile Applications, and Human-centric Computing and Information Sciences. He has chaired, co-chaired, or held other significant roles in numerous international conferences and published with international organizations such as IEEE and Springer. Previously, he served as Editor-in-Chief of the Studies in Distributed Intelligence Book Series by Springer. He is also Editor-in-Chief of the Sensors Communication for Urban Intelligence and Distributed Sensing and Intelligent Systems Book Series by CRC Press-Taylor & Francis. Dr. Elhoseny has received numerous awards from various institutions, including the Egypt State Encouragement Award (2018), the Young Researcher Award in Artificial Intelligence from the Federation of Arab Scientific Research Councils (2019), the Obada International Prize for Young Distinguished Scientists (2020), the Mansoura University Young Researcher Award (2019), the SRGE Best Young Researcher Award (2017), and the Best Ph.D. Thesis Award from Mansoura University (2015). With 20 years of teaching experience, Dr. Elhoseny has supervised many Ph.D., Master’s, and Undergraduate students across several universities. He also developed several undergraduate and graduate programs in Computing and Informatics. Additionally, he is a TPC member or reviewer for over 200 international conferences and workshops and reviews for more than 100 international journals, including IEEE Communications Magazine, IEEE Transactions on Intelligent Transportation Systems, IEEE Internet of Things, Future Generation Computer Systems, IEEE Communication Letters, Elsevier Computer Communications, Computer Networks, and Sustainable Cities and Society. | |
| Email: | melhoseny@sharjah.ac.ae | |
| Title & Full Name | Professor Abraham Althonayan |  |
| Affiliation | Brunel University of London London, UK | |
| Presentation Title | ||
| Abstract | ||
| Biographical Sketch | Professor Abraham Althonayan is a Senior Lecturer in Strategic Management at Brunel University of London and an internationally recognised expert in Technology strategy, Enterprise Risk Management (ERM), Digital Transformation and Supply Chain. Holding a PhD in Strategic Management from Brunel University of London. He brings over 30 years of experience spanning aviation, service industry, international operations, executive development and consultancy. Althonayan research focuses on cybersecurity governance, AI literacy and risk, organisational resilience, and the strategic alignment of business, ERM and risk aware decision making including smart digitalisation and e-government technologies. Author of 40+ peer-reviewed publications in ABS-ranked journals (Elsevier, Emerald, Taylor & Francis), he has secured over USD 4 million in international research funding. Certified Internation Executive Coach and Organisation Development Coach, Althonayan has delivered executive programmes across the UK, EU, Kazakhstan, Saudi Arabia, Qatar and the UAE, bridging academic rigour with real-world IT industry practice. | |
| Email: | abraham.althonayan@brunel.ac.uk | |
| Title & Full Name | Dr. Amir Mosavi |  |
| Affiliation | Obuda UniversityBudapest, HungaryJ. Selye University, Slovakia | |
| Presentation Title | Future AI: Sovereign, Trustworthy and Responsible Modeling | |
| Abstract | ||
| Biographical Sketch | Applied AI Scientist, interested in Data Science | |
| Email: | amir.mosavi@nik.uni-obuda.hu | |
| Title & Full Name | Associate Professor, Marat Nurtas |  |
| Affiliation | International Information Technology University, Almaty, Kazakhstan | |
| Presentation Title | Predicting the Unpredictable: Machine Learning for Earthquake Forecasting | |
| Abstract | Artificial Intelligence is rapidly transforming how we model and understand complex environmental systems from climate dynamics to natural hazards. Among these challenges, earthquake forecasting remains particularly difficult due to the rarity and unpredictability of seismic events. This talk explores how modern machine learning approaches can be applied to model such extreme and uncertain phenomena.A key insight is that success in environmental AI does not rely solely on complex algorithms, but on how well domain knowledge is integrated into data representation. This principle extends beyond seismology to broader applications such as climate modeling, ecological forecasting, and risk assessment.The talk highlights the evolving role of AI as a tool for probabilistic reasoning in uncertain environments, offering new opportunities for building smarter, data-driven systems that support decision-making in the face of natural risks. | |
| Biographical Sketch | Marat Nurtas is an Associate Professor at the Department of Mathematical and Computer Modelling, International Information Technology University (34/1 Manas Street, Almaty, 050040, Kazakhstan) and a Leading Researcher at the Institute of Ionosphere. He received his PhD degree in Mathematical and Computer Modelling from Kazakh-British Technical University and holds a bachelor’s degree in Mathematics from al-Farabi Kazakh National University. His research interests include scientific machine learning, deep neural networks, physics-informed neural networks, geophysical data analysis, earthquake prediction models, and machine learning applications in complex dynamical systems. | |
| Email: | m.nurtas@iitu.edu.kz | |
| Title & Full Name | Distinguished Professor Syed Islam |  |
| Affiliation | Federation University Australia | |
| Presentation Title | Model Predictive Control for Microgrids | |
| Abstract | ||
| Biographical Sketch | Syed Islam received his PhD from King Fahd University of Petroleum & Minerals, Saudi Arabia in 1988. He is currently an Emeritus Distinguished Professor of Electrical Engineering at Federation University, Australia. Prior to his recent retirement he was the Associate Deputy Vice Chancellor for Research at Federation University Australia. He has served as Dean, Executive Dean at Federation University and Head of School and Dean at Curtin University, Perth Australia. He is a Fellow of the IEEE, Fellow of the IET and Fellow of the Engineers Australia and a chartered engineer. He has received over $25M in funding for his research into renewable energy, microgrids, power systems and control and net zero energy transition. He has published over 400 peer reviewed research papers. His h-index is 60 and he has over 15,000 citations for his research works. | |
| Email: | s.islam@federation.edu.au | |
| Title & Full Name | Professor Yuxiao Qin |  |
| Affiliation | Northwestern Polytechnical University, Xi’an, China | |
| Presentation Title | Synthetic Aperture Radar Interferometry: Modern Practices and Wide-Area Applications | |
| Abstract | This keynote explores the evolution of Synthetic Aperture Radar Interferometry (InSAR) from a specialized geodetic tool to a cornerstone of modern wide-area Earth observation. The presentation will detail advanced time-series techniques, including Persistent Scatterer InSAR (PSInSAR) and Small Baseline Subset (SBAS), tailored for monitoring complex surface deformations. Special emphasis is placed on the integration of data from recent Chinese SAR missions—such as the Lutan-1 (LT-1) L-band constellation and the GaoFen-3 (GF-3) series—for high-precision infrastructure monitoring, seismic hazard assessment, and land subsidence tracking. Attendees will be provided with insights into current signal processing challenges, multi-source data fusion strategies, and the practical implementation of InSAR workflows in large-scale environmental and urban engineering contexts. | |
| Biographical Sketch | Dr. Yuxiao Qin is the assistant Dean, professor and doctoral supervisor at the School of Electronics and Information at Northwestern Polytechnical University, China. He received the B.S. degree in geographic and information system and remote sensing from Peking University, Beijing, China, in 2010, the M.S. degree in Earth science from The Chinese University of Hong Kong, Hong Kong, in 2011, the M.S. degree in electronics and computer engineering and the Ph.D. degree in geomatics engineering from Purdue University, West Lafayette, IN, USA, in 2017 and 2018, respectively. His professional background includes experience as a Lead InSAR Engineer at SkyGeo Netherlands B.V. His research interests include statistical signal/image processing, data processing, algorithm development for (In) synthetic aperture radar (SAR), SAR interferometric processing, and multitemporal SAR time series analysis, with a special focus on the study of Chinese SAR satellites earth observation applications. | |
| Email: | yuxiao.qin@nwpu.edu.cn | |
| Title & Full Name | Professor Mohammad Shojafar |  |
| Affiliation | 6GIC, University of Surrey, United Kingdom | |
| Presentation Title | 6G-AGENTS: Decentralised and Trustworthy AI Agents for AI-RAN Security | |
| Abstract | The evolution toward AI-native 6G networks is transforming Radio Access Networks (RAN) into open, programmable, and intelligent systems through paradigms such as AI-RAN and Open RAN. While these architectures enable flexibility and innovation, they also introduce new security challenges, including multi-vendor risks, dynamic xApp/rApp deployments, and limited transparency of AI-driven decisions.This keynote presents a unified approach to AI-RAN security, combining explainable AI (XAI), large language models (LLMs), and agentic AI. We first show how XAI–LLM integration enables interpretable anomaly detection and actionable insights within RAN environments . We then introduce agentic AI workflows for continuous monitoring, automated mitigation, and standards-aware security compliance aligned with O-RAN and 3GPP frameworks.The talk highlights how decentralised AI agents can enable closed-loop, explainable, and resilient security orchestration in AI-RAN, and outlines key challenges toward trustworthy and autonomous 6G networks. | |
| Biographical Sketch | Mohammad Shojafar is an Associate Professor in Network Security at the University of Surrey’s 6G Innovation Centre (6GIC), UK. He is a Senior Member of IEEE, an ACM Distinguished Speaker, and a Fellow of the Higher Education Academy. His research focuses on security and privacy in 5G/6G networks, Open RAN, AI-native network architectures, and adversarial machine learning. He has secured approximately £2M in research funding as Principal Investigator across major UK and EU projects, including ORAN-TWIN and ORAN-TWIN-X, and has contributed to several large-scale collaborative initiatives in next-generation network security.He has authored over 250 peer-reviewed publications in leading venues such as IEEE Transactions and ACM journals, and currently serves as an Associate Editor for multiple IEEE journals, including IEEE Transactions on Network and Service Management and IEEE Transactions on Intelligent Transportation Systems. His recent work focuses on integrating explainable and agentic AI into AI-RAN systems, enabling autonomous, interpretable, and resilient security solutions for future 6G infrastructures. | |
| Email: | M.shojafar@surrey.ac.uk | |
| Site | https://www.surrey.ac.uk/people/mohammad-shojafar | |
| Title & Full Name | Dr De Mi |  |
| Affiliation | Associate Professor in Future Communication Systems and Head of the Future Information Networks (FINET) Research Cluster at Birmingham City University | |
| Presentation Title | Open connectivity and intelligence: Transformative effect on future smart communities | |
| Abstract | This keynote will showcase the transformative effect of open network approaches and open artificial intelligence platforms on supporting smart communities. Examples such as ORAN have shown how they are enabling a broad industry ecosystem, while their engagement with local communities facing lack of digital environment and digital infrastructure is not clear yet. In the showcased programmes one of the common and key objectives is to devise, assess, prototype, optimise, and demonstrate accessible connectivity and intelligence solutions. The outcomes have been transformed to 5G connected forest and smart rural, remote monitoring, diagnosis and resource management for eHealth, smart water management, etc. This keynote will also cover how these programmes offer extensive commercial and academic support that facilitates knowledge transfer to the local economy and leads to a common reference design ensuring sustainability, security, convergence, user experience and interoperability, towards building a long-term smart community ecosystem. | |
| Biographical Sketch | Dr De Mi received the B.Eng. degree from the Beijing Institute of Technology, Beijing, China, the M.Sc. degree from Imperial College London, London, U.K., and the Ph.D. degree from the University of Surrey, Guildford, U.K. He is currently an Associate Professor and also the Head of the Future Information Networks (FINET) Research Cluster with the College of Computing, Birmingham City University, Birmingham, U.K. His has authored or coauthored in high-impact journals/conferences, and his work has been supported by National and International Strategic Programmes (e.g., Eureka Globalstars, EPSRC CHEDDAR Hub, DSIT 5G Innovation Regions etc.). His research interests and expertise span a range of areas in wireless communications and signal processing, including B5G/6G radio access techniques, hypercomplex signal processing, next-generation broadcast and multicast, future open networks, and space-air-ground-water integrated systems. He was the recipient of the IEEE Broadcast Technology Society 2020 Scott Helt Memorial Award (Best Paper), IEEE UCET 2020, IECON 2023, Blockchain/BSS 2023, Ucom 2024 Best Paper awards. He is also the Editor/Guest Editor for various IEEE venues, e.g., IEEE Transactions on Vehicular Technology, IEEE Network, IEEE Communications Standards Magazine, IEEE/CIC China Communications, IEEE Journal of Communications and Networks, and a publicity/symposium/session/workshop co-chair for various conferences, e.g., IEEE ICC, GLOBECOM, VTC, WCNC, ICCC, MECOM, ICIT, ICRA, and WCCI. | |
| Email: | de.mi@bcu.ac.uk; d.mi@ieee.org | |