Sotirios K. Goudos is a Professor at the Department of Physics, Aristotle University of Thessaloniki (AUTH), Greece, and Director of the ELEDIA@AUTH lab within the ELEDIA Research Center Network. His research focuses on antenna design, evolutionary algorithms, wireless communications, machine learning, and IoT applications. He holds a B.Sc. in Physics (1991), M.Sc. in Electronics (1994), Ph.D. in Physics (2001), and additional qualifications in Information Systems and Electrical Engineering. Prof. Goudos is a Senior Member of IEEE and serves as Editor-in-Chief of the Telecom open access journal (MDPI) and Associate Editor for IEEE Transactions on Antennas and Propagation, IEEE Access, and IEEE Open Journal of the Communication Society. He has organized multiple special issues in journals like EURASIP Journal on Wireless Communications and Networking and has authored/edited books on antennas and AI in networks. His awards include multiple IEEE Access Outstanding Associate Editor recognitions (2019–2023) and inclusion in Stanford University's top 2% scientists list (2020–2024). He teaches courses on telecommunications, Java programming, and microwave systems, and has supervised over two dozen master's students since 2009. His work spans antenna optimization, AI-driven communications, and IoT security, with contributions to 5G/6G, RIS systems, and smart agriculture. Prof. Goudos actively contributes to IEEE Greece Section leadership roles, including Secretary (2022) and Vice-Chair (2023–2024). His labs and teams focus on ELEDIA's research in electromagnetics, optimization, and AI applications.
Dr. Valentina Tamma is a Lecturer in the Department of Computer Science at the University of Liverpool. Her research focuses on ontologies in open and distributed environments, including Semantic Web, Multi-Agent Systems, and Knowledge Graphs. She leads the Knowledge-Based Agents research group and serves as Area Editor for the Transactions on Graph Data and Knowledge journal. Her recent work explores the intersection of Generative AI and Semantic Web technologies, including competency question engineering, ontology alignment, and knowledge evaluation frameworks. She has co-authored 15+ publications (2023-2025) on topics like ontology reuse, question difficulty prediction, and autonomous agent governance. Dr. Tamma has held significant editorial and organisational roles, including Programme Co-Chair for ISWC 2020 and co-chair of the Alan Turing Institute's Knowledge Graphs Interest Group. She teaches modules such as Ontologies and Semantic Web (COMP598) and Planning Your Career (COMP221). Scientific contributions include: Ontology modularization techniques Negotiation protocols for semantic alignment Knowledge evaluation frameworks AI-driven competency question generation Knowledge Graph applications in life sciences
Professor Asif Gill is Head of Discipline for Software Engineering at the School of Computer Science, University of Technology Sydney (UTS), where he was promoted to Professor of Computer Science in January 2024. He also serves as Director of the DigiSAS Research and Innovation Lab and is actively involved in the Global Big Data Technologies Centre at UTS. As a founder of both the DigiSAS Lab and the Future Generation Enterprise Architecture Community of Practice (FGEA CoP), he has established integrated teaching-research-engagement frameworks that translate academic research into practical applications while enhancing graduate employment opportunities. Professor Gill's research interests span Adaptive Enterprise Architecture , Agile Software Development , and Design Science Research & Innovation , with a particular focus on architecting large-scale data-intensive enterprise software systems. His work addresses challenges across academia, industry, government, and society, with significant contributions to AI systems architecture, digital identity management, and enterprise knowledge graphs. His applied research has resulted in numerous collaborations with organizations including the Reserve Bank of Australia, Revenue NSW, Capsifi, Data Zoo, and the NSW Department of Planning, Industry and Environment. His publication record includes 3 books and over 190 articles in major academic journals such as IEEE Transactions on Professional Communication, Information and Management, and Information Systems. His recent work demonstrates a consistent focus on cutting-edge topics in enterprise architecture, AI systems, and digital identity, with multiple publications appearing in 2024-2025. His research trajectory shows a clear evolution from foundational work in agile software development toward more sophisticated integration of AI, enterprise architecture, and data governance. Fellow of the Australian Computer Society (ACS) Fellow of DSE (ESCP Center for Design Science in Entrepreneurship) Senior Member IEEE Associate Editor, IEEE Transactions on Technology & Society Associate Editor, Springer Nature Discover Data journals Member, Data Sharing Committee, IFIP Technical Committee 8.1 Member, Standards Australia Software and Systems Engineering Committee IT-015 Professor Gill has successfully secured numerous research grants from 2019-2026, totaling significant funding for projects related to digital identity, enterprise architecture, and AI systems. His approach emphasizes industry-academia collaboration, with many projects involving direct partnerships with government agencies and industry organizations. He has supervised multiple PhD and Master's students through industry-sponsored scholarships and maintains active collaborations with researchers across multiple institutions. Leading the DigiSAS Research and Innovation Lab, Professor Gill has created an environment that bridges theoretical research with practical implementation. The lab focuses on developing frameworks and tools for adaptive enterprise architecture, with particular emphasis on AI-enabled systems, data governance, and digital identity solutions. His work on the Data Satellite Architecture represents a significant contribution to combating data pollution in federated digital ecosystems.
Nikos Komninos is a researcher at City, University of London , specializing in cybersecurity, network security, and privacy-preserving systems. His work spans Internet of Things (IoT) , mobile ad hoc networks , and cloud computing security. Research Areas : Cybersecurity frameworks, machine learning for threat detection, quantum-resistant encryption, and privacy-preserving authentication systems. His recent publications focus on ransomware detection under concept drift, DDoS mitigation in IoT, and attribute-based encryption for fog computing. He has contributed to IEEE Transactions and journals like Computers & Security , with a trend toward real-time adaptive security systems and Bayesian risk assessment .
Mohammad Shojafar (M'17-SM'19) is an Associate Professor at the Institute for Communication Systems within the Faculty of Engineering and Physical Sciences at the University of Surrey , UK. He has secured over £1.9M in research funding as Principal Investigator for projects like ORAN-TWIN (EPSRC), PRISENODE (MSCA-IF), TRACE-V2X (MSCA-SE), and D-XPERT (Innovate UK), among others. Previously held positions include Senior Researcher at University of Toronto and Toronto Metropolitan University, Senior Researcher at Italian universities (Telecom Italia Mobile), and Postdoc at University of Padua Key affiliations: Associate Editor for IEEE Transactions on Network and Service Management, Intelligent Transportation Systems, Green Communications and Networking, and Consumer Electronics Magazine Research Specialism: 5G/6G Security and Privacy Open-RAN Security Green Networking Adversarial Machine Learning Applied Cryptography Publication Trends: Focus on Open RAN security challenges (bearer context migration poisoning, KPI poisoning attacks), IoT/Fog security (GAN-based attacks, distributed intrusion detection), Lightweight Cryptography (multi-signature protocols, authentication schemes), and AI-driven Network Optimization (federated learning, reinforcement learning applications). Recent work addresses security in vehicular networks, smart grids, and video streaming frameworks. Scientific Recognition: Marie Curie Individual Fellowship (MSCA-GF-IF) Intel Innovator ACM Professional Member Sustainability Fellow at Institute for Sustainability IEEE Senior Member Supervision: Currently supervising 6 PhD students and has graduated 5 PhD/MSc students since 2021. Active in 5G/Open RAN security research with over 20 related publications since 2022.
Dr. Victor Gabriel Lopez Mejia is a postdoctoral researcher at the Institute of Automatic Control Engineering, Faculty of Electrical Engineering and Computer Science, Leibniz University Hannover. His work focuses on data-driven control systems, reinforcement learning, and multi-agent system synchronization. PhD in Electrical Engineering (2019), University of Texas at Arlington M.Sc. in Electrical Engineering (2013), CINVESTAV, Mexico B.Sc. in Telecommunications and Electronics (2010), Universidad Autonoma de Campeche Research interests include: Neural network applications in control systems Reinforcement learning for cooperative control Game-theoretic analysis of multi-agent systems Data-based modeling of nonlinear dynamics Publications highlight advancements in data-driven predictive control, Gaussian process-based estimation, and nonlinear system analysis, with recent work in IEEE Transactions on Automatic Control and conferences like CDC and ECC. He has held academic roles including Adjunct Professor at the University of Texas at Arlington and Research Assistant at UTARI (2016-2019).
Jun Li is a Professor at the University of Oregon within the College of Arts and Sciences . He serves as the Director of the Network & Security Research Laboratory and Founding Director of the Center for Cyber Security and Privacy. His academic career spans over 100 peer-reviewed publications and significant contributions to cybersecurity, networking, and distributed systems. PhD (UCLA, 2002) - Outstanding Doctor of Philosophy M.E. (Chinese Academy of Sciences, 1995) - Presidential Scholarship B.S. (Peking University, 1992) His research focuses on Cyber Security & Privacy , Computer Networking , and Distributed Systems , particularly examining: DDoS defense mechanisms Internet routing security DNS security Blockchain applications IoT security protocols Social bot detection Recent work (2023-2024) emphasizes adaptive DDoS filtering, cryptojacking detection, and security frameworks for smart homes. His publications span top-tier venues like IEEE Transactions on Dependable and Secure Computing , ACM Transactions on Internet of Things , and INFOCOM . Scientific honors include: ACM Recognition of Service Award University of Oregon Faculty Excellence Award Ripple Faculty Fellowship Multiple best paper awards He has received funding from the NSF (including CAREER award), DHS , Intel , Narus , Ripple , and the State of Oregon . His work extends to patents in hybrid peer-to-peer security protocols.
Michael Sirivianos is an Associate Professor at the Cyprus University of Technology (CUT), where he serves as Dean of the School of Engineering and Technology. He holds a PhD in Computer Science from Duke University (2010) and leads research in cybersecurity, disinformation detection, and social media analysis. He coordinates multiple EU-funded projects including ReCRED (Horizon 2020) and ENCASE (Marie Curie RISE), securing over €3M in research funding. Research Focus His work spans: Cybersafety : Detection of cyberbullying, hate speech, and inappropriate content targeting children Trust Systems : Device-centric authentication and blockchain applications Disinformation Analysis : Graph-based detection of fake news and state-sponsored manipulation Scalable Systems : Distributed databases and network infrastructure Achievements & Recognition Best Paper Award (2019) for work on state-sponsored disinformation Distinguished Paper (2018) for fringe web community analysis Spotlight Session recognition (2020) for child protection research Featured in NYT, Washington Post, and Wired for YouTube content analysis Leadership Co-directs the Network Systems Research Lab, serves on the Board of CYENS Centre of Excellence, and coordinates the Fact-check Cyprus Centre against Disinformation.
Hua Huang is an Assistant Professor in the Department of Computer Science and Engineering at the University of California, Merced. He holds a Ph.D. in Computer Engineering from Stony Brook University (2020), an M.S. in Computer and Information Sciences from Temple University (2014), and a B.E. in Electronic and Information Engineering from Huazhong University of Science and Technology (2012). Ph.D. in Computer Engineering, 2020 — Stony Brook University, New York M.S. in Computer and Information Sciences, 2014 — Temple University, Pennsylvania B.E. in Electronic and Information Engineering, 2012 — Huazhong University of Science and Technology, Wuhan, China Hua Huang's research focuses on sensor systems, wireless networks, ubiquitous computing, and smart healthcare. His work bridges theoretical and practical challenges in mobile computing, emphasizing real-world applications like device-free intrusion detection, driving safety monitoring, and healthcare wearables. His publications span key conferences and journals such as ACM MobiCom, IEEE ICCPS, ACM Transactions on Sensor Networks, and INFOCOM, with a notable Best Paper Runner-Up award at ACM MSWiM 2018. Themes include wireless sensor optimization, deep learning applications, and mobility-aware infrastructure design. Scientific Awards Best paper runner-up at ACM MSWiM 2018 Research Collaborations Collaborated with prominent researchers like Shan Lin, Fei Miao, and Tian He Advising Seeks self-motivated students with backgrounds in wireless systems and signal processing Labs & Teams Leads a research group at UC Merced focusing on wireless and ubiquitous systems
Petra Hietanen-Kunwald serves as a Senior University Lecturer in the Department of Accounting at Aalto University. Her academic profile centers on dispute resolution systems, legal innovation, and the intersection of contract design with civil justice frameworks. Her research spans: Dispute Resolution and Mediation Proactive Contract Design Tax and Cross-Border Dispute Systems Legal Design and Digital Transformation Civil-Commercial Law Integration She investigates how ethical infrastructure and systems theory can optimize conflict management while maintaining procedural fairness. Analysis of her publication trajectory reveals escalating focus on digital dispute resolution (2020-2023), where she pioneers frameworks for AI-driven mediation and transaction design. Earlier works (2013-2019) established foundational critiques of mediation's legal status and explored Finnish civil justice reforms, demonstrating consistent commitment to elevating alternative dispute resolution within legal ecosystems. Key recognitions include: Developer in Education of the Year 2023 2021 JSCAN Best Paper Award for "Effective dispute prevention and resolution through proactive contract design" While specific grant details remain undisclosed, her collaborative publications with Helena Haapio, Maria Solarte-Vasquez, and Risto Koulu indicate robust international research partnerships. Her work directly informs European mediation policy and Finnish legal education curricula.
Luis Miguel Bergasa is a Full Professor at the Department of Electronics, University of Alcalá (UAH), with a career spanning over 25 years. He leads the RobeSafe Lab (since 2010) and serves as Director of Digital Transformation at UAH (since 2022). His academic roles include heading the Department of Electronics (2004–2010) and coordinating multiple educational programs. He teaches Perception Systems (Master in Industrial Engineering) Intelligent Control Systems (Computer Science) Computer Vision (Computer Science) His research focuses on Perception Systems for Intelligent Vehicles , emphasizing driver behavior analysis, scene understanding, and sensor fusion via deep learning. He has authored over 300 papers and holds 9 patents. Notable recognitions include being ranked #81 in Computer Science (Spain) by Research.com (2025) and receiving 30+ awards in Robotics/Automotive fields. Recent publications highlight advancements in Transformer-based driver action recognition (2025) Infrastructure-vehicle cooperative frameworks (2025) 3D semantic segmentation for autonomous perception (2024) Simulation-to-reality gap bridging (2024) Scientific Leadership Senior Editor, IEEE Transactions on ITS (2025) International Program Committee roles in 15+ conferences (2024–2025) Co-founder of Vision Safety Technologies Ltd (2009–2016) He supervises 9 active PhD students and has advised 14 former PhD candidates. His group collaborates with institutions in Germany, USA, China, and Spain, including KIT, UC Berkeley, and Northwestern Polytechnic University.
Dr. Yves Le Traon is a Full Professor of Computer Science at the University of Luxembourg, where he serves as Vice-Director of the Interdisciplinary Centre for Security, Reliability and Trust (SnT). He leads the 25-member SerVal research group (SEcurity, Reasoning and VALidation), focusing on software testing, security, and data-intensive systems. Previously, he chaired the CSC Research Unit (2013-2016) and pioneered model-driven engineering at INRIA. PhD and engineering degree in Computer Science from Institut National Polytechnique, Grenoble (1997) Former Associate Professor at University of Rennes (1998-2004) His research spans three main areas: innovative software testing and repair , Android security through static analysis and machine learning , and robust machine learning system design . Collaborations include industry leaders like PayPal, CREOS, and Cebi in fintech, smartgrid, and industry 4.0 domains. Awarded IEEE Fellow (2022) and Facebook Testing & Verification Research Award (2019) , he chairs editorial boards for STVR, SoSym, and IEEE Transactions on Reliability. His team has produced 20+ PhD graduates including Li Li (Monash University), Donia El Kateb (European Investment Bank), and Alexandre Bartel (SnT Research Associate). Commercial impact includes co-founding Datathings for runtime AI decision systems.
Bradley Reaves serves as an Associate Professor in the Department of Computer Science at North Carolina State University and is a core member of the Wolfpack Security and Privacy Research (WSPR) Lab and the Secure Computing Institute. His work focuses on real-world security and privacy challenges across cellular networks, mobile platforms, and software systems. Education: Ph.D. in Computer Engineering, University of Florida (2017) M.S. in Computer Science, Georgia Institute of Technology (2015) Research Interests: Dr. Reaves pioneers interdisciplinary security solutions combining signal processing, machine learning, and cryptography to combat robocalls, mobile fraud, and software vulnerabilities. His work spans telephone network security (e.g., call authentication systems), mobile money security in developing economies, and software secret leakage in repositories. He emphasizes practical impact through industry collaboration and deployable tools. Publication Trends: Recent work (2023-2024) shows concentrated focus on telecom security (call traceback, SMS phishing), software vulnerability management (LLM-assisted patching, secret leakage), and network policy systems . His research consistently bridges theoretical innovation with real-world data collection, including analysis of 1.5 million robocalls and mobile money transaction fraud. Awards: Best Paper at ACM WiSec (2013) Advising and Collaborations: Dr. Reaves mentors Ph.D., Master's, and undergraduate researchers through structured pathways: Ph.D. applicants must demonstrate specific interest in his publications; Master's students typically engage via courses like CSC 574; undergraduates require CSC 230 completion and 10+ weekly hours. Industry partnerships include data sharing under confidential agreements, student hiring pipelines, and commissioned research for telecom fraud analysis. Labs and Teams: He leads the Wolfpack Security and Privacy Research (WSPR) Lab, which operates within NC State's Secure Computing Institute. The lab specializes in large-scale security measurement studies and develops tools like SNORCall for robocall analysis and SecretBench for secret leakage detection.
Raphaëlle N. Roy is a Professor at ISAE-SUPAERO, part of the University of Toulouse, France. Her academic career spans multiple institutions, including the Gipsa-Lab in Grenoble and the University of British Columbia. She specializes in Neuroergonomics and Physiological Computing, focusing on Human-Machine Interaction in aerospace contexts. PhD in Cognitive Neuroscience & Signal Processing, Université Grenoble Alpes/CEA-Leti (2015) Habilitation à Diriger des Recherches (HDR), Université de Toulouse (2022) Certified Lecturer in Neuroscience (2016) Her research interests include Neuroergonomics , Brain-Computer Interfaces , and Neuroadaptive Technology , with applications in aerospace systems. She leads the Neuroergonomics and Human Factors research group and coordinates the Certificate in Human Factors & Neuroergonomics for Aeronautics and Transportation . Roy has organized major conferences like the International Neuroergonomics Conference (Paris 2016, Munich 2021, Bordeaux 2024) and co-founded the French BCI association CORTICO , serving as Vice-President since 2023. She is an Associate Editor for Frontiers in Neuroergonomics and has reviewed for over 30 journals and conferences, including NeurIPS and IEEE Transactions. Ministerial fellowship for PhD thesis She supervises PhD and Master’s students, including Mathias Rihet , Elena López-Contreras González , and Pauline Dreyer , and collaborates with institutions like INRIA, TU Delft Robotics Institute, and LAAS-CNRS. Her work is supported by ANR, ESA, and CNES grants, including the EPIIC project (ANR).
Heyuan Shi is an Associate Professor at the School of Electronic Information, Central South University since 2023. He earned his B.S. (2015) and Ph.D. (2020) from Central South University and Tsinghua University respectively. His research focuses on software quality assurance with emphasis on kernel fuzz testing , open source software security , and AI application security . Presided over 10+ projects including NSFC General Program (No.62472448) and National Key R&D Sub-Project Published 30+ CCF-A/B papers across software security, machine learning, and quantum testing Supervised 15+ graduate students in software quality assurance areas His recent 2024-2025 publications demonstrate expertise in: LLM-enhanced patch classification Quantum neural network verification Hypergraph adversarial attacks RTOS fuzzing techniques Scientific recognition includes: 2024 Beijing Science & Technology Progress Award (First Prize) Hunan Province Xiaohe Sci-Tech Talent (2023) China Association for Science & Technology Young Talent (2025-2027) Active in academic service as PC member for FM2024 and reviewer for IEEE Transactions journals. Leads industry collaborations with Alibaba and Beijing Institute of Aerospace Metrology.
