Dr. Hossein Abroshan is a Senior Lecturer and Course Director for MSc Cyber Security at Anglia Ruskin University. With 25+ years in academia and industry (banking, telecom, manufacturing), he directs the Cyber Security, Networking, and Applications Research Group blending technical expertise with cyberpsychology. Research examines human factors in phishing susceptibility, industrial IoT vulnerabilities, and geopolitical cyber threats. Recent projects include CyberASAP-funded OT ransomware detection (£17K) and sustainable cloud storage solutions. Publications analyze pandemic-era phishing psychology and NFC payment risks. As Vice-Chair of IEEE UK-Ireland Computational Intelligence Chapter, he influences cybersecurity standards. Certifications include CISM and ISO27001 lead auditor, with industry implementations of NIST CSF and ISA/IEC 62443 frameworks.
Christian Kaunert is a Professor in the Department of Policing and Security at the University of South Wales' Faculty of Life Sciences and Education. His work bridges strategic communication, cybersecurity, and counter-terrorism with emerging technologies like AI and the Metaverse. Key focus areas include digital infrastructure protection, ethical AI governance in healthcare, and geopolitical security dynamics. Research interests emphasize counter-radicalization strategies, legal frameworks for sustainable development, and smart city technologies. His publications explore intersections between technology, law, and security with a focus on global challenges like cyber threats, nuclear proliferation, and environmental policy. Notable projects include analysis of Meta and Google's counter-extremism initiatives, legal implications of AI in healthcare, and geopolitical strategies in Middle East conflicts. Kaunert's work often addresses ethical dilemmas arising from rapid technological adoption in security and governance sectors.
Dr. Alexander Pfeiffer holds dual roles as Head of the Emerging Technologies Experiences Lab and Research Associate at the Center for Applied Game Studies, University for Continuing Education Krems. His work focuses on emerging technologies like blockchain, AI, and gamification in education, cybersecurity, and sustainability. Active in both academic research and applied projects, he leads initiatives such as the ZKPG+ project exploring zero-knowledge proofs in corporate sustainability and the ESPORTS EU-funded study on competitive gaming's societal impact. His research bridges disciplines including digital identity management, cybercrime prevention, and innovative educational paradigms. Key projects include: ZKPG+ (2025–2026): Gamifying sustainable corporate goals via zero-knowledge proofs ESPORTS (2025): Analyzing esports' cultural and economic dimensions FROG (2024–2025): Investigating gaming's future societal roles Publications highlight transformative technologies like AI-driven assessments, blockchain in credentialing systems, and climate-conscious e-commerce solutions. As a principle investigator, he drives grant-funded projects totaling over €5M across EU, FFG, and federal grants. His lab develops practical tools such as the Green e-Commerce size-sensing technology and blockchain-based gamification platforms for education. Current research emphasizes: Ethical AI integration in learning environments Metaverse's educational and sociological implications Cybersecurity challenges in digital gaming ecosystems Labs/Teams: Leads the Emerging Technologies Experiences Lab and collaborates with industry partners on applied tech solutions. Serves as academic advisor to interdisciplinary teams developing gamified assessment tools and digital identity frameworks.
Benjamin Aziz is an Associate Professor at Buckinghamshire New University, where he leads courses in Software Engineering, Cyber Resilience, and Computer Science. Previously, he was a Senior Lecturer at the University of Portsmouth's School of Computing (2010-2023) and worked as a Senior Research Scientist at Rutherford Appleton Laboratory. He holds a Ph.D. in Computer Science from Dublin City University (2003) and an M.Sc. in Networks and Distributed Systems from Trinity College Dublin (1999). His research focuses on formal methods, cybersecurity, IoT systems, and data-driven approaches to systems security. Key affiliations include Fellow of Advance HE and memberships with IEEE, IET, BCS, and ERCIM. He has contributed to EU projects like GridTrust and Consequence, and serves as Associate Editor for Wiley's Security and Communication Networks journal. His work spans over 160 peer-reviewed publications and two books, emphasizing formal analysis of protocols, steganography detection, and incident response metrics. Research interests include: Cybersecurity frameworks for IoT and cloud systems Formal specification and verification of security protocols Data-driven approaches for anomaly detection Attribute-based access control models Recent articles explore requirements engineering matrices, healthcare monitoring logic models, and Korean police dataset analysis. He has advised on cyber resilience strategies and contributed to tools like Trusty for social network data sharing.
Mahdi Fahmideh is an Associate Professor in Cyber Security at the School of Business, University of Southern Queensland (UniSQ), Australia. He holds a PhD in Information Systems from the University of New South Wales (UNSW) and MSc/BSc in Software Engineering from Azad University, Iran. His research focuses on Cyber Security, AI Ethics, Blockchain, and IoT, with a track record of securing ARC grants and international visiting fellowships. He has published in top-tier journals like European Journal of Information Systems (EJIS), IEEE Transactions on Software Engineering (TSE), and ACM Computing Surveys (CSUR). His career includes roles as Senior Lecturer at UniSQ, Lecturer at the University of Wollongong, and Postdoctoral Researcher at UTS. Awards include a Best Paper Award (2018) and multiple research excellence recognitions. He teaches courses in Cyber Security, Data Mining, and Information Assurance. His grants include ARC Linkage projects on Adversarial Machine Learning (AUS $445K) and Blockchain in Visual Arts (AUS $570K). Fahmideh’s recent work explores AI-Human collaboration (e.g., ChatGPT in software development) and trustworthy AI frameworks. He leads course development in Cyber Security and mentors students in HDR programs. His industry experience includes 8 years as an analyst programmer in software systems for publishing, insurance, and government sectors.
Le Guan is an Associate Professor at the School of Computing, University of Georgia. His research focuses on embedded systems security, IoT security, and software engineering. He holds a PhD from the Chinese Academy of Sciences and a BEng from the University of Science and Technology of China. His work includes groundbreaking contributions to firmware security, hardware-assisted defense mechanisms, and vulnerability detection in cyber-physical systems. Education: PhD in Information Technology, Chinese Academy of Sciences (2015) BEng in Computer Science, University of Science and Technology of China (2009) Research Interests: Embedded Systems Security Firmware Integrity and Analysis Cyber-Physical System Defense Hardware-Software Co-Security Automated Vulnerability Detection Recent Research Trends: Recent articles highlight innovations in firmware emulation, hybrid fuzzing for IoT devices, and hardware-assisted security mechanisms for microcontrollers. His work frequently bridges theoretical frameworks with practical implementations for real-world embedded systems. Awards: NSF Career Award (2023) Student Career Success Influencer Award (2022) Grants and Collaborations: Co-PI on the 2023 Presidential Interdisciplinary Seed Grant on Deep Fakes. His NSF Career Award supports research into data protection in embedded systems. Collaborates widely with industry and academia on firmware security and automotive systems.
Jakub Doński-Lesiuk is an Adjunct Assistant Professor at the Department of Economic and Medical Informatics within the Faculty of Economics and Sociology at the University of Lodz. His research explores the intersection of geopolitics, infrastructure development, and logistics systems with a focus on Eurasian trade corridors and railway transport optimization. His research interests encompass: Management of cross-border logistics flows across Eurasia Geopolitical determinants of transportation infrastructure Economic dimensions of international relations Commercial and organizational aspects of railway transport Civil aviation logistics Sustainable supply chain solutions Recent publications demonstrate strong focus on: Vietnam's transport infrastructure development Rail Baltica's regional economic impact ESG compliance in logistics enterprises Geopolitical influences on Central European supply chains Trans-Eurasian railway logistics under pandemic conditions He has led multiple research initiatives including: Rail Baltica impact study (2013) Kaliningrad logistics network analysis (2021) Eco-packaging development for e-commerce (2021) US-Russia logistics relations study at Harvard (2022) Vietnam OBOR infrastructure adaptation (2023) Hungarian/Slovak-Ukrainian border logistics (2024)
Jessica T. Feezell is an Associate Professor in the Department of Political Science at the University of New Mexico (UNM), where she serves as the Director of the Undergraduate Program and Coordinator of the Departmental Internship Program. She holds a PhD in Political Science from the University of California, Santa Barbara (2008), and a BA from the University of Oregon (2000). Her research focuses on political communication, American politics, and public policy, emphasizing the impact of digital media on civic engagement, youth political behavior, and public opinion formation. Her work explores how new media technologies influence political participation, including studies on social media’s role in fostering offline engagement and the effects of algorithm-driven news on polarization. She is co-author of *The Politics of Energy Crises* (Oxford University Press, 2016), examining energy policy cycles and public trust in scientific information. Feezell has been recognized with awards such as the UNM Teaching Fellow (2015–2016) and multiple Women in STEM grants, and her research has appeared in *Political Research Quarterly*, *New Media & Society*, and *Computers in Human Behavior*. In addition to her research, she has pioneered innovative teaching methods, including integrating Twitter-based curricula into American politics courses. Her current projects address framing effects in media coverage of Muslims post-terrorism, algorithmic news curation, and the implications of scrollability in digital news consumption.
Maggie Ying Jiang is a tenured Associate Professor in Media and Communication at the University of Western Australia (UWA), affiliated with the School of Social Sciences. She holds a PhD from the University of Adelaide and an MA in International Studies from Birmingham University. Her research focuses on cross-cultural communication, social media dynamics, public relations, cyber-nationalism, and consumer nationalism in China. She has published extensively on platforms like Weibo's role in public diplomacy and media effects. Education: PhD in Media Studies, University of Adelaide, Australia MA in International Studies, Birmingham University, UK Research Interests: Jiang's work explores the intersection of technology and cross-cultural communication, particularly in Chinese contexts. She investigates how social media shapes national identity, consumer behavior, and international business strategies. Her recent projects include digital transnationalism in Chinese-language media and consumer nationalism's impact on multinational enterprises. Grants & Projects: Lead investigator in the Virtue Australia Foundation's castor bean commercialization project ($1.6M, 2017-2028) StudyPerth grant for international student employability (2021) Awards: 2018 Golden Wattle Award (Australia's Top 10 Outstanding Chinese-Australians) 2008 Hong Kong Dragon Foundation Leadership Award Engagement: Jiang advises organizations like S. Kidman & Co., AFL, and the American Chamber of Commerce on cross-cultural communication. She chairs the UWA DEI CLAD Working Group and co-leads the Soft Power Advocacy & Research Centre at Macquarie University. Labs/Teams: Member of the UNESCO Inclusive Policy Lab and editorial board of the Journal of Asian Communication.
Anwar Hossain is an Associate Professor at the School of Computing, part of the Faculty of Arts and Science at Queen's University. His research focuses on IoT, smart cities, healthcare technology, and machine learning applications. He has contributed to advancements in digital twins, edge computing, and railway defect detection using AI-driven methodologies. His work integrates ethical considerations with technical innovation, particularly in healthcare systems and infrastructure maintenance. Research interests span interdisciplinary areas such as multimodal AI for behavioral therapy, generative models for defect analysis, and privacy-preserving data aggregation in smart environments. His publications highlight trends in predictive healthcare systems, IoT-enabled infrastructure monitoring, and cognitive frameworks for urban systems. Notable contributions include frameworks for intelligent edge processing in smart cities and digital twin applications for mental well-being. His articles emphasize practical solutions for challenges in public health, railway safety, and urban sustainability. While no awards are explicitly listed, his extensive publication record reflects academic and industry relevance. Dr. Hossain collaborates on projects involving healthcare CPS (Cyber-Physical Systems), IoT security, and adaptive algorithm recommendation. His work bridges theoretical research with real-world implementations, contributing to both academic discourse and technological innovation in his field.
A. Mohammed ABUBAKAR is an Associate Professor of Management Information Systems at the School of Business and Social Sciences, Antalya Bilim University. He holds a PhD in Business Administration with a minor in Management Information Systems from Eastern Mediterranean University, Cyprus. His career includes roles as a Research Assistant (2011–2016) and Faculty Member at Aksaray University (2016–2017). Education: Bachelor’s in Information Systems Master’s and PhD in Business Administration (Minor: Management Information Systems), Eastern Mediterranean University Research Interests: His work focuses on information systems, big data, business analytics, knowledge management, applied AI, digital labor platforms, and workplace relations. He has published in top-tier journals like European Journal of Information Systems and Journal of Business Research. His research emphasizes technology’s impact on work dynamics and employee well-being, including topics like techno-stressors, boreout syndrome, and hybrid workplace challenges. Article Trends: Recent publications explore hybrid work effects, AI-driven supply chain resilience, and the interplay between business analytics and π-shaped skills. His work often employs advanced methodologies like SEM and fsQCA to analyze organizational behavior and innovation outcomes. Awards: Recognized in the top 2% of global scientists (Stanford/Elsevier, 2019–2022) Professional Contributions: He co-founded YÖMEGA, an initiative empowering Turkish faculty through professional development. His grants include studies on digital assessment techniques and HR localization impacts. He actively participates in the Association for Information Systems (AIS). Labs/Teams: No specific lab mentioned, but collaborates on projects related to digital workplace innovation and AI-driven business solutions.
Amos H.C. Ng is a Professor of Automation Engineering at the School of Engineering Science, University West (Högskolan i Skövde). His academic qualifications include BEng, MPhil, and PhD degrees, complemented by professional certifications such as Chartered Engineer (UK) and membership in the Institution of Engineering and Technology (UK). His research focuses on production simulation, multi-objective optimization, simulation-based innovization, and digital human modeling, with applications in manufacturing systems, Industry 4.0, and smart manufacturing. Ng has contributed to over 150 publications since 2000, spanning topics like decision support systems, maintenance optimization, and reconfigurable manufacturing. His work integrates simulation, data mining, and evolutionary algorithms to address challenges in production systems, including bottleneck analysis, energy efficiency, and human-robot collaboration. Notable projects include developing the Mimer knowledge discovery tool and frameworks for digital twin applications in production lines. His research emphasizes practical industry applications, collaborating with organizations to improve production processes through advanced methods like trend mining and cloud-based optimization. Ng also serves as a course coordinator and contributes to educational initiatives in automation engineering.
Irina Borogan is a Russian investigative journalist in exile who serves as a Research Fellow at King's College London, based in the Department of War Studies within the Faculty of Social Science & Public Policy. She is affiliated with the King's Centre for the Study of Intelligence, which provides a platform for sharing research and ideas in intelligence studies. Her work focuses on Russian security services, internet censorship, and cyber issues, with particular emphasis on the Kremlin's security apparatus and its evolution under Putin. Her research interests span Security services, Internet censorship, Cyber, Russian intelligence, Geopolitics, and Digital governance. Borogan has documented the Kremlin's campaign to gain control of civil society and strengthen police services under the pretext of fighting extremism. She has extensively chronicled the role of Russian intelligence and security agencies in the war in Ukraine, analyzing how the conflict has transformed Russian spycraft and security operations both domestically and internationally. Author of The New Nobility: The Restoration of Russia's Security State and the Enduring Legacy of the KGB (2010) Author of The Red Web: The Struggle Between Russia's Digital Dictators and the New Online Revolutionaries (2015) Author of The Compatriots: The Russian Exiles Who Fought Against the Kremlin (2019, 2022) Her recent publications demonstrate consistent focus on Russian security services' adaptation to the Ukraine conflict, Kremlin cyber strategies, and the evolving relationship between the Russian state and its intelligence apparatus. Borogan's work shows increasing attention to the transnational dimensions of Russian security operations, including cyber imperialism, religious influence campaigns, and the use of private military companies as instruments of state power.
Dr. Michael O'Grady is a Senior Research Fellow at University College Dublin’s School of Computer Science. He holds a Grad Dip in University Teaching & Learning from UCD. His research focuses on smart technologies, including pervasive health, energy management, climate-smart agriculture, and participatory citizen science. He has led over 200 publications, achieving a H-index of 28, and contributed to EU initiatives like ISEED and Interreg AGEO. He serves on editorial boards and conference committees, including co-chairing Mobihealth 2020. His research interests emphasize transdisciplinary approaches to citizen observatories, smart city governance, and Responsible Research and Innovation (RRI). Notable contributions include the MÉRA Data Extraction toolkit for meteorological data and the development of the Citizen Observatory platform for community-based environmental monitoring. He has also explored edge computing’s role in smart agriculture and healthcare applications like wearable IoT-enabled health monitoring systems. Recent work addresses challenges in citizen science data practices, including surveys of citizen scientist experiences and open science principles. His articles highlight innovations in sensor technology, activity recognition, and participatory disaster risk reduction. Professional memberships include the European Alliance for Innovation (distinguished member), ACM, and IEEE (senior member). Teaching interests include problem-based learning in computing education and reflective pedagogical practices. He has coordinated modules at undergraduate and postgraduate levels, emphasizing transformative learning for sustainable development. Grants include the MAIA project (2003–2005), exploring mobile adaptive interface agents. Current collaborations involve COST action PARQ (cardiac arrest prediction) and EU citizen science initiatives. His work bridges technology, policy, and societal needs, with a focus on participatory frameworks for sustainable development.
Dr. Katherine Herbert is a Professor in the School of Computing at Montclair State University, specializing in bioinformatics, database systems, and data science education. She holds a BS from Saint Peter's College, and MS and PhD from New Jersey Institute of Technology. Her research focuses on data quality, data cleaning, and integration within scientific datasets, with a strong emphasis on bioinformatics and cheminformatics. She leads multiple NSF-funded initiatives including space weather forecasting using machine learning (ANSWERS Project) and interdisciplinary data science training for educators (DATA3 RET Site). Dr. Herbert has secured over $1.2M in grants, collaborating on projects like Cyberinfrastructure-Enabled Machine Learning for Space Weather and Opening Pathways in Chemistry. She has authored 47+ peer-reviewed publications, including work on K-12 computer science integration and solar weather STEM education. Her teaching spans undergraduate and graduate courses in databases, data mining, and interdisciplinary computing. She advises multiple NSF-funded programs targeting STEM equity, including Pathways to STEM Degrees for underrepresented students. Labs/Teams: Active in Montclair's Data Science and Cyberinfrastructure Research Group, leading collaborations with NASA-funded space weather initiatives and regional STEM education networks.
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