Stefano Cirillo is a Researcher at the University of Salerno , affiliated with the Department of Computer Science . His work spans software engineering, cybersecurity, and service-oriented systems. Email: scirillo@unisa.it Office Location: Fisciano Campus, Building F2, Room 041 (L8 Laboratory) Reception Hours: Tuesday & Thursday, 2:30 PM - 4:00 PM Research Interests include model-driven engineering , agile software development , and cloud-native architectures . He explores service-oriented platforms for educational tools and quality assessment in distributed environments. Key publication trends highlight cybersecurity integration , software modularity , and automated testing for microservices. Projects emphasize collaborative development and ontology-based resource management .
Manuel Ricardo Torres Soriano is a Catedrático de Universidad (Full Professor) in Public Law at Pablo de Olavide University in Seville, Spain. His academic work focuses on political and administrative science with a specialization in terrorism studies, particularly jihadist terrorism and cyberterrorism. He serves as one of the 15 international advisors on the Advisory Council on Terrorism and Propaganda of the European Counter-Terrorism Centre (ECTC) within Europol, contributing to European counterterrorism efforts since the center's establishment nearly three years ago. PhD in Political Science from Universidad de Granada (2007), thesis: "La dimensión propagandística del terrorismo yihadista global" Academic experience at institutions including London, Stanford, and Harvard Professor at both Pablo de Olavide University and the University of Granada (UGR) Professor Torres Soriano specializes in the intersection of terrorism, technology, and political communication. His research examines jihadist propaganda ecosystems, cyberterrorism, disinformation campaigns, and the evolving nature of modern terrorism. He has pioneered work on the concept of "technophobic terrorism" as a potential fifth wave of terrorism, building on David Rapoport's theoretical framework of terrorism waves. His expertise spans both historical analysis of terrorist movements and forward-looking assessments of emerging threats in the digital age, with particular focus on how technology transforms both terrorist tactics and counterterrorism responses. His recent publications reveal a consistent analytical framework examining how terrorist organizations adapt to technological change, particularly in the digital realm. He has documented the evolution of jihadist media platforms, analyzed Russian disinformation tactics using false-flag cyber operations, and explored the relationship between technological advancement and potential future terrorist motivations. A recurring theme across his work is how digital technologies both enable new forms of terrorism while simultaneously providing tools for counterterrorism efforts, creating a complex dynamic that requires sophisticated analytical approaches. Member of the Advisory Council on Terrorism and Propaganda of the European Counter-Terrorism Centre (ECTC) within Europol Recipient of recognition from Spain's Ministry of Defense for his doctoral thesis Author of influential books including "Espejismos del mañana" and "#Desinformación. Poder y manipulación en la era digital" Professor Torres Soriano actively contributes to security policy through his work with European security institutions and Spanish government advisory bodies. He has collaborated extensively with state security forces in both analytical and training capacities, translating academic insights into practical counterterrorism strategies. His research has informed counterterrorism approaches in Spain and at the European level, particularly regarding online radicalization, digital countermeasures, and the evolving nature of terrorist propaganda. He regularly engages with policymakers through institutional reports and advisory roles, ensuring his academic work has direct relevance to contemporary security challenges. His work bridges academic research with practical security applications through collaborations with the European Counter-Terrorism Centre, Spanish security services, and international academic networks focused on extremism and counterterrorism. As digital technologies continue to transform the security landscape, his research remains at the forefront of understanding how terrorist organizations adapt their strategies and how societies can develop effective countermeasures in the digital age.
Dr. Hisham AbouGrad is a Senior Lecturer in Computer Science and Digital Technologies at the University of East London, within the School of Architecture Computing and Engineering. With over 20 years of experience in IT industry and higher education, he has taught at multiple UK institutions including Falmouth University, Northumbria University, Roehampton University London, and University of Plymouth. Department of Computer Science and Digital Technologies School of Architecture Computing and Engineering University of East London Dr. AbouGrad holds a DProf (DBA) in Workflow Information Systems Performance from London South Bank University (2020), an MSc in Software Engineering from University of Bradford (2002), and an MBA in Management from University of Lincoln (2002). His research spans multiple domains including Business Process Management (BPM), Decision Support Systems (DSS), Workflow Systems Performance, Enterprise Content Management (ECM), Machine Learning, and Geographic Information Systems (GIS). His recent publications demonstrate a strong focus on applying AI and machine learning to solve real-world problems in finance, healthcare, agriculture, and transportation. His publication trends show a clear progression from foundational work on business process management and enterprise content systems toward cutting-edge applications of deep learning, blockchain, and computer vision in diverse domains. The breadth of his research covers financial technology, healthcare monitoring, agricultural optimization, transportation safety, and food security systems. Fellow of the Higher Education Academy (FHEA) Project Management Professional (PMP) in IT Professional member of the British Computer Society (BCS) since 2009 Member of the Central & North London Branches (CeNLB) Committee of BCS Dr. AbouGrad actively supervises doctoral research (ProfDoc, PhD), master's dissertations, and undergraduate degree projects. He has participated in doctoral research workshops and academic events to support university researchers. His teaching portfolio includes modules on Database Systems, Software Engineering, Information Systems, and Business Information Systems. He is a member of the Intelligent Systems Research Group and contributes to Research Enhanced Learning & Teaching initiatives at UEL.
Andreas Papasalouros is an Associate Professor at the Department of Mathematics, University of the Aegean. He holds a Ph.D. in Engineering from NTUA (2004), a Diploma in Electrical and Computer Engineering (2000), and a BSc in Physics (1992). His research focuses on Educational Technology , Adaptive Hypermedia , and Ontology Engineering . Education Ph.D. in Mechanics, School of Electrical and Computer Engineering, NTUA (2004) Diploma in Electrical and Computer Engineering, NTUA (2000) BSc in Physics, National and Kapodistrian University of Athens (1992) Research Interests Papasalouros's work centers on leveraging UML and Ontologies for designing Educational Software . He explores Automated Assessment systems, Accessibility solutions (e.g., TeX-to-Braille), and Mobile Learning applications. His studies often intersect with Collaborative Learning and Semantic Web technologies. Key Contributions His publications span Adaptive Hypermedia , Ontology-Driven Learning , and Accessibility Tools . Notable works include Ob-AHEM (2002), Grid4All Ontology (2008), and TeX-to-Braille Transcribing (2017). Recent trends emphasize Game-Based Learning and Query Log Analysis for ontology creation. Courses Taught New Technologies in Education (3rd semester) Introduction to Computer Science (2nd semester) Advanced Programming Languages (6th semester) Postgraduate Course in New Technologies in Education
Sebastian Eresheim serves as a Researcher at the Institute of IT Security Research within the Department of Computer Science and Security at St. Pölten University of Applied Sciences. His work focuses on developing innovative approaches to cybersecurity education and defense mechanisms through gamification, machine learning, and reinforcement learning techniques. He contributes to academic programs including Data Intelligence (MA) and Data Science and Artificial Intelligence (BA). Eresheim's research interests span across cybersecurity, artificial intelligence, and machine learning applications in security contexts. His work particularly emphasizes practical security solutions through gamification of security concepts, reinforcement learning for malware containment, and threat intelligence systems. He has developed cyber defense games like PenQuest that provide hands-on security training experiences. His research bridges theoretical security concepts with practical implementations, especially in the areas of process classification for anomaly detection and modeling real-world threat scenarios. Analysis of Eresheim's recent publications reveals a strong focus on applying artificial intelligence to cybersecurity challenges. His work demonstrates a progression from theoretical security modeling toward practical implementations, with increasing emphasis on gamification techniques for security education and reinforcement learning environments for cyber defense training. His research spans multiple domains including IT/OT infrastructure security, threat modeling, and security awareness training, showing interdisciplinary connections between computer science, game theory, and security engineering. Eresheim actively participates in various research projects including KliWaSim, the Webinar Series "Secure Home Office," and the Josef Ressel Center for Unified Threat Intelligence on Targeted Attacks (TARGET). He regularly presents at conferences and delivers workshops on AI and security topics, including events like the ACTA TECH DAY 2024 where he presented "Artificial Intelligence 101." His outreach extends to media appearances on ORF NÖ heute discussing practical AI applications.
Marko Tanasković (born December 6, 1986) is a researcher at Singidunum University with a PhD in Information Technology and Electrical Engineering from ETH Zurich (2015). His academic background includes master's (ETH Zurich, 2011) and bachelor's (University of Belgrade, 2009) studies in Electrical Engineering. Doctoral studies: Information Technology and Electrical Engineering, ETH Zurich (2011-2015) Master studies: Information Technology and Electrical Engineering, ETH Zurich (2009-2011) Basic studies: Electrical Engineering, University of Belgrade (2005-2009) Tanasković's research focuses on control systems , predictive modeling , and optimization algorithms for mechanical and electrical systems. His work addresses adaptive model predictive control (MPC), sensorless motor positioning, and data-driven approaches for nonlinear systems. Recent publications (2018-2024) demonstrate expertise in: Embedded control systems (rotor polarity detection) Drone forensics and autonomous navigation Industrial automation (LabVIEW applications) Biomedical sensor development ('Smart Anklet') Machine learning optimization (firefly algorithm)
Christos Tryfonopoulos is an Associate Professor and Head of the Department of Informatics & Telecommunications at the University of the Peloponnese, where he leads the Software and Database Systems (SoDa) Lab. His academic career spans prestigious institutions including the Max-Planck Institute for Informatics in Germany, where he led the P2P and Information Management research area from 2006-2009, and the Technical University of Crete, where he completed his PhD and MSc degrees. His research interests focus on information management, distributed systems, digital libraries, and data/user anonymity. His work bridges theoretical foundations with practical applications across diverse domains including environmental monitoring, cybersecurity, cultural heritage, and medical informatics. He has developed innovative frameworks for pollution prediction, cyber-threat intelligence, and academic expertise mapping that demonstrate the interdisciplinary nature of his research. Professor Tryfonopoulos has published over 80 papers in top-tier journals and conferences including TOIS, TKDE, SIGIR, and SIGMOD. His recent work shows a strong trend toward applying machine learning techniques to information management problems, with publications spanning environmental science, cybersecurity, and bibliometrics. His research group has developed several significant tools including VeTo+ for expert set expansion, inTIME for cyber-threat intelligence, and Hydria for cultural heritage analytics. Candidate for best research paper in ESWC 2016 conference Honorable mention for best poster (3rd place) in ESWC 2012 conference Award as Distinguished Scientist Excelling in Research Abroad (2008) Best student paper award in ECDL 2005 conference Heraclitus PhD fellowship from Greek Ministry of Education (2002-2005) National Scholarship Foundation of Greece (IKY) scholarship (1998) Professor Tryfonopoulos has supervised 5 PhD students (3 in progress), 19 MSc students, and 31 BSc students. He has led or participated in 13 competitive EU and national research projects including ENIRISST+ for shipping and transport infrastructure, WeCare for student support structures, and FORESIGHT for cybersecurity simulation. His current research focuses on intelligent infrastructure for transportation logistics, cyber-threat intelligence systems, and educational technologies for data science.
David Durand is a Lecturer in Computer Science at the Computer Science Department of the IUT of Amiens (Institute of Technology) within the University of Picardie Jules Verne . He serves as a Deputy Vice-President for Communication, Culture & Scientific Mediation and is a teacher-researcher affiliated with the MIS Laboratory and its SDMA Team . Research Focus: Distributed and communicating objects, middleware, IoT, and data processing in eHealth. His work addresses IoT heterogeneity, communication protocols, and AI-driven data processing architectures for medical applications. Recent projects explore intrusion detection in Medical IoT (MIOTs), AI threat management in healthcare, and movement analysis for Parkinson's disease treatments. His publications span cybersecurity, robotics, and AI in healthcare, with a focus on federated learning and anomaly detection. He actively supervises students in IoT-related topics, including smart homes, logistics, and medical robotics.
Branden Ghena is an Assistant Professor of Instruction in the Department of Computer Science at Northwestern University, part of the McCormick School of Engineering. His research focuses on embedded systems, networking protocols for IoT, and operating systems, particularly through the Tock project. He holds a PhD in Electrical Engineering and Computer Science from UC Berkeley (2020), an MSE in Computer Science and Engineering from the University of Michigan (2017), and a BS in Computer Engineering and Electrical Engineering from Michigan Technological University (2013). His research interests include resource-constrained embedded hardware/software, wireless protocols like Bluetooth Low Energy, LoRaWAN, and LTE-M, and energy-harvesting platforms such as Signpost and PowerBlade. He emphasizes open-source contributions and practical embedded systems education. Teaching includes courses like CS211 (C/C++), CS213 (Computer Systems), CS343 (Operating Systems), CE346/CS346 (Microcontroller Design), and CS433 (Wireless IoT Protocols). He has received notable awards, including the 2022 Cole-Higgins Excellence in Teaching Award and the Instructor of the Year award. His teaching philosophy centers on bridging theory to real-world engineering challenges. Awards : Cole-Higgins Award for Excellence in Teaching (2022) Instructor of the Year (2022) Outstanding Graduate Student Instructor (UC Berkeley, 2018) NSF Graduate Research Fellowship (2014–2017) Labs/Teams : Principal contributor to Tock OS, an open-source embedded OS Signpost platform for city-scale sensing Design of PowerBlade energy meters and Buckler development boards His advising includes supporting undergraduate research, with several students proceeding to PhD programs. He has also contributed to curriculum design, including redesigning labs for embedded systems courses using modern tools like Git, Make, and Rust. Branden actively participates in academic service roles, such as faculty search committees and workshop program committees.
Christopher Andrew Bail is a Professor of Sociology, Computer Science, Political Science, and Public Policy at Duke University's Trinity College of Arts & Sciences. He directs the Society-Centered AI Initiative and co-founded the Polarization Lab. His research focuses on AI's impact on human behavior, particularly in social media contexts, aiming to mitigate political polarization and design prosocial digital platforms. Bail holds a Ph.D. from Harvard University (2011). His expertise spans computational social science, online political discourse, and AI ethics. Notable contributions include groundbreaking work on social media's role in polarization, interventions to reduce partisan animosity, and the development of AI-driven dialogue platforms. He has authored influential books like Breaking the Social Media Prism , which led to policy changes at Twitter and inspired NextDoor's conflict mediation tools. Recent publications emphasize AI's societal implications, experimental methods to improve online interactions, and consensus-based reforms in machine learning research. His work appears in Science , Nature , and the New York Times , among others. Awards include the Guggenheim Fellowship (2018) and Carnegie Fellowship (2017). Bail's grants include funding from NSF, Templeton Foundation, and others for projects on ideological distance in social media, computational social science training, and AI for intellectual humility. He teaches advanced courses on AI in sociology and interdisciplinary data science. His media engagements span major outlets like CNN, BBC, and NPR, where he discusses digital polarization and tech policy. He co-founded the Summer Institutes in Computational Social Science and advises the NSF's Social, Behavioral, and Economic Sciences Directorate. Current initiatives include the Trinity Social AI Initiative and Duke’s Interdisciplinary Data Science Program.
Dr. Meisam Gordan is an Assistant Professor in Civil Engineering at University College Dublin (UCD), affiliated with the School of Civil Engineering. Previously, he held Postdoctoral Research Fellow positions at UCD (2022–2024) and the University of Malaya (2021–2022), and was a Graduate Research Assistant at the University of Malaya (2019–2020). He earned his PhD in Civil Engineering (2020) from the University of Malaya, specializing in Structural Health Monitoring, Data Mining, and Artificial Intelligence, supported by a High Impact Research Scholarship. **Education**: PhD in Civil Engineering, University of Malaya (2020) MSc in Civil Engineering, University Technology of Malaysia (UTM) **Research Interests**: Focuses on integrating Civil Engineering with Computer Science using Industry 4.0 technologies such as IoT, Big Data, Blockchain, Digital Twins, and Circular Economy. Key areas include Structural Health Monitoring, Machine Learning, Vibration Control, and Smart Infrastructure. Current projects include the Di-Rail project (railway fault diagnosis) and the Horizon 2020-funded PRECINCT (critical infrastructure resilience). **Publications**: Over 40 peer-reviewed articles, with recent work emphasizing hybrid digital twins, smart cities, and cybersecurity. His articles analyze trends in SHM with AI, edge-IoV networks, and resilience frameworks for critical infrastructure. **Awards**: High Impact Research Scholarship (2014), recognized as a reliable peer reviewer for journals like Structural Health Monitoring and IEEE Access. **Teaching**: Coordinates modules on Environmental Engineering, Transportation, and Structural Dynamics at UCD. Teaches courses like CVEN30170 Analysis of Structures 2 and CVEN20070 Computer Applications in Civil Engineering. **Grants/Projects**: Lead roles in PRECINCT and Di-Rail. Previously contributed to projects on recycled rubber energy dissipation systems and blockchain-based sensor data storage. **Labs/Teams**: Collaborates with the Structural Dynamics and Assessment Laboratory (SDA-Lab) at UCD and the PRECINCT Living Labs. Active in the UCD Civil Engineering research community.
Robby is a Professor in the Department of Computer Science at Kansas State University's College of Engineering, holding the Don and Linda Glaser - Carl and Mary Ice Keystone Research Scholar title. He maintains an active research profile through the SAnToS Lab and has been continuously affiliated with the university since 2004. His educational background includes: Ph.D. in Computer Science from Kansas State University (2004) M.S. in Computer Science from Kansas State University (2000) B.S. in Computer Science from Oklahoma State University (1998) Robby's research centers on formal methods and software engineering , specializing in specification and verification techniques for high-assurance systems. His work develops user-friendly formal languages and cost-efficient verification algorithms that significantly enhance software trustworthiness in safety-critical domains like aerospace and defense systems. This research bridges theoretical foundations with practical industrial applications through tools like the Sireum framework. His publication record (2021-2025) reveals a strong trajectory toward integrated verification ecosystems, particularly the Sireum suite (Logika, Slang) and HAMR toolset for AADL-based development. These works consistently address model-code verification gaps and contract-based testing in cyber-physical systems, demonstrating growing industry adoption through collaborations with organizations like Galois and NASA. Notable recognitions include: NASA Turning Goals into Reality award (2003) NSF CAREER award (2007) ICSE Most Influential Paper award (2000) ACM SIGSOFT Impact award (2010) FMICS Best Tool Paper Award (2024) Robby's research program combines significant funding from sources like the NSF CAREER grant with active industry partnerships. His SAnToS Lab serves as a hub for developing verification methodologies that scale from academic prototypes to real-world deployment in safety-critical systems, emphasizing practical toolchains for assurance engineering. He leads the SAnToS Lab (Software Analysis and Test Organization), which focuses on advancing formal verification techniques for high-integrity software through frameworks like Sireum and HAMR, with applications spanning microkernels, cyber-physical systems, and educational tools.
Susanne M Furman is an Instructor in the Department of Psychology at George Mason University (GMU), concurrently serving as a cognitive scientist in the Visualization and Usability Group at the National Institute of Standards and Technology (NIST). Her roles span academic and federal agency work, focusing on usability engineering and cybersecurity. She holds a PhD in Applied Experimental Psychology (Human Factors) from GMU, with prior experience at IBM, GE, and the U.S. Department of Health and Human Services. Education: B.A. in Psychology, Bloomsburg University of Pennsylvania (1988) M.A. in Applied Experimental Psychology, George Mason University (1990) Ph.D. in Applied Experimental Psychology (Human Factors), George Mason University (1997) Research focuses on usability of cybersecurity tools, biometric systems, and smart home technologies. Key themes include privacy preservation, user mental models of security, and cross-agency collaboration (e.g., with DHS and FBI). Recent work examines consumer trust in smart home ecosystems and lifecycle management of IoT devices. Publications (selected): Her work bridges usability research with federal cybersecurity needs, including foundational studies on contactless fingerprint devices and smart home privacy challenges. Over 25 years of industry and academic collaboration has produced impactful contributions to human-centered cybersecurity standards. Affiliations: Active in NIST’s Human-Centered Cybersecurity projects and GMU’s Psychology department. She contributes to federal usability programs and collaborates with researchers like Julie Haney and Brian Stanton.
Dr Kirsty Redgen is an Associate Lecturer in Accounting at the University of the Sunshine Coast (UniSC), within the School of Business and Creative Industries. Prior to academia, she worked as a chartered accountant specializing in audit and taxation for seven years, fostering a passion for education and research. Her research focuses on creativity and decision-making in accounting, automation potential, and technology applications in auditing. Kirsty holds a PhD and multiple graduate diplomas in accounting and education from UniSC. She teaches auditing, accounting fundamentals, and financial reporting. Her professional memberships include Chartered Accountants Australia and New Zealand and the Accounting and Finance Association of Australia and New Zealand. Notable awards include the AFAANZ Best Paper Award (2021) and USC Disability Support Appreciation Staff Award (2016). Her work emphasizes empowering professionals through innovation and technology integration.
Professor Liangxiu Han is Professor of Computational Science at Manchester Metropolitan University's Department of Computing and Mathematics, where she also serves as co-Director of the Centre for Advanced Computational Science and Deputy Director of the ManMet Crime and Well-Being Big Data Centre. Her research focuses on developing novel approaches to big data analytics, machine learning, and AI, with applications in precision agriculture, healthcare, smart cities, and cybersecurity. Professor Han's research integrates fundamental and applied work in large-scale data processing, intelligent management of distributed systems, and mathematical modeling. Her current activities aim to provide intelligent ICT-based solutions for societal challenges in food security, healthcare, and sustainable urban development. Her recent publications demonstrate leadership in applying AI to medical challenges like Alzheimer's drug discovery and glaucoma diagnosis. The research combines Bayesian deep learning, computational chemistry, and neuropharmacology to develop innovative therapeutic approaches and diagnostic tools.
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