Find Academic Supervisors

• Cybersecurity
• IT Security
• Artificial Intelligence
• +7 more

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.

• IT Security
• Trusted Computing
• Blockchain Technologies
• +6 more

Martin Pirker serves as a Professor and Senior Researcher at the Institute of IT Security Research within the Department of Computer Science and Security at St. Pölten University of Applied Sciences in Austria. His academic profile demonstrates extensive expertise in IT security, trusted computing, and blockchain technologies, with a particular focus on Trusted Platform Modules, boot integrity, and secure systems development. His research interests span multiple critical areas of modern cybersecurity including Trusted Computing, blockchain-based security solutions, boot integrity verification, secure system design, privacy-preserving technologies, and information security auditing. Dr. Pirker's work consistently addresses practical security challenges in contemporary computing environments, with numerous publications exploring the intersection of hardware security, software implementation, and cryptographic verification mechanisms. His recent publications reveal a strong focus on blockchain applications for security auditing, Trusted Platform Module implementations, and secure boot processes. The research trends show progression from foundational trusted computing work toward more distributed security solutions using blockchain technology and addressing emerging challenges in AI security. His publications demonstrate consistent contributions to major security conferences including ARES (International Conference on Availability, Reliability and Security) and ICISSP (International Conference on Information Systems Security and Privacy). Dr. Pirker leads or participates in several significant research projects including the Josef Ressel Center for Blockchain-Technologies & Security Management, Josef Ressel Center for Unified Threat Intelligence on Targeted Attacks (TARGET), RPM- Rusted Plattform Module, and E³UDRES² Ent-r-e-novators. These projects reflect his commitment to addressing real-world security challenges through collaborative research initiatives. He actively contributes to the academic community through teaching in the IT Security (BA) and Cyber Security and Resilience (MA) programs at St. Pölten University of Applied Sciences. His work bridges theoretical security concepts with practical implementation challenges, making significant contributions to the field of applied cybersecurity research.

• Cybersecurity
• Artificial Intelligence
• Blockchain Technology
• +4 more

Dr. Shun-Wen Hsiao is an Associate Professor in the Department of Management Information Systems at National Chengchi University (NCCU), Taiwan. He earned his PhD in Information Management from National Taiwan University and has been with NCCU since 2017, first as an Assistant Professor before his promotion to Associate Professor in 2023. His research spans: Cybersecurity : Malware analysis, threat detection, IoT security, and blockchain applications Artificial Intelligence : Neural networks for security, NLP, and recommendation systems FinTech : Blockchain frameworks, secure voting systems, and P2P lending risk models E-commerce : Livestreaming recommendation algorithms and consumer behavior analysis He has received multiple awards including: National Science Council Research Award (2023) Three consecutive Outstanding Team awards for Information Security R&D (2016-2018) Research grants from Taiwan's Ministry of Science and Technology Dr. Hsiao leads several major research projects funded by Taiwan's National Science and Technology Council, focusing on explainable AI for cybersecurity, financial technology security, and big data analytics platforms. His work frequently appears in top IEEE transactions and cybersecurity conferences.

Harald GjermundrodView profile

Professor

• Distributed Computing Systems
• Computer Security
• Cyber Security
• +5 more

Harald Gjermundrod is a Professor of Computer Science in the Department of Computer Science at the University of Nicosia's School of Sciences and Engineering, where he has served since September 2008. Previously, he was a Post-Doctorate Associate (2006-2008) at the High-Performance Computing Systems Laboratory, University of Cyprus. Education: PhD in Computer Science, Washington State University (2006) MS in Computer Science, Washington State University (2001) BS in Computer Science, Washington State University (1999) Dipl.-Ing, Oslo Metropolitan University (1998) His research spans Distributed Computing Systems , Computer Security , Blockchain Technology , and Data Protection , with emphasis on practical implementations like GridStat middleware for power grids and privacyTracker for GDPR compliance. As co-director of the Informatics Security Laboratory, he leads research on active defense mechanisms and data protection frameworks. His 87+ publications since 2001 show evolving focus from grid computing (2006-2010) to blockchain applications (2016-present), with recent work emphasizing privacy engineering, secure e-voting, and AI-driven security analytics. Key trends include transitioning from infrastructure-focused research (GridStat, ICGrid) to policy-compliant systems (privacyTracker, HoneyCY). Scientific Recognition: Senior Member of ACM Eclipse Committer Status (Alumni) Chair of ACM Cyprus Chapter (2015-2018) He has secured funding from EU programs, US National Science Foundation, and National Institute of Technology, developing software products including GridStat (critical infrastructure middleware), ICGrid (medical data sharing), and ReProTool (Bologna Process compliance). His supervision has produced student-developed prototypes like NoteLocker and HoneyCY. Current projects include privacyTracker (GDPR compliance) and SmartTeV (blockchain voting). As co-director of the Informatics Security Laboratory, he oversees research on active defense systems, honeypot frameworks (HoneyCY), and verifiable data traceability, with applications in e-government and healthcare security.

• Innovation Management
• Technology Management
• Production Management
• +5 more

Prof. Dr. Christian Mieke is a Professor of Business Administration specializing in Innovation Management at the Department of Economics of the Brandenburg University of Technology (BTU) in Brandenburg an der Havel, Germany. He has held this position since 2010, following his habilitation at the Brandenburg University of Technology Cottbus in 2009. His office is located in Building A (Business and Economics Center), Room A.2.33 at Magdeburger Straße 50, and he can be contacted at christian.mieke@th-brandenburg.de. Prior to his current position, he served as a Professor at Provadis School of International Management & Technology Frankfurt am Main (2009-2010) and held parallel positions as a Privatdozent at BTU Cottbus (2009-2014) and Guest Professor at Alpen-Adria-University Klagenfurt (2013-2014). Prof. Mieke's educational background includes: Habilitation in Innovation Management at BTU Cottbus (2009) Doctorate in Early Technology Detection at BTU Cottbus (2005) Studies in Industrial Engineering at Technical University of Ilmenau and Technical University of Crete (1996-2001) His research focuses on Innovation Management, Technology Management, Production Management, and Logistics, with particular emphasis on strategic planning of innovation processes, technology roadmapping, and integration of innovation management within production systems. He has developed methodologies for scenario-based process portfolios and technology roadmapping, with recent work increasingly addressing the strategic aspects of factory planning and production networks in the context of Industry 4.0. His publication record demonstrates consistent scholarly output with a notable trend toward developing practical methodological handbooks that translate complex theoretical concepts into actionable business practices. His recent work shows increasing attention to strategic factory planning, management of production networks, and integration of innovation processes within organizational structures, particularly relevant to the digital transformation of production systems. Prof. Mieke teaches courses in Supply Chain Management, Technology and Innovation Management, Production and Materials Management, Value Creation Management, and Technology Management. His teaching responsibilities align closely with his research interests, emphasizing the practical application of theoretical concepts in business administration, particularly in innovation, technology, and production management.

• Cybersecurity
• Genocide Prevention
• International Humanitarian Law
• +3 more

Rhiannon Neilsen is an Assistant Professor at the Marxe School of Public and International Affairs at Baruch College, where she teaches Public Affairs. Her research bridges cybersecurity , genocide prevention , and international ethics , with a focus on digital interventions for atrocity crimes. She holds a PhD in International Relations from the University of New South Wales, an M.Phil. in Politics, and a B.A. in International Relations and German. Education: Ph.D., International Relations, University of New South Wales (2021) M.Phil., Politics, University of New South Wales (2017) B.A., International Relations & German, University of Queensland (2015) Neilsen’s work investigates "cyber manipulation operations" for atrocity prevention, AI ethics in geopolitical contexts, and the Responsibility to Protect (R2P) framework. She has published extensively on digital deterrence strategies, including peer-reviewed articles in Defense Studies , Global Responsibility to Protect , and International Affairs , with a forthcoming book on cyber humanitarian interventions. Scientific Awards: Abraham J. Briloff Ethics Prize (2025) Young Women to Watch in International Affairs (2025) Ria De Groot Prize (2021) Dean's Award for Outstanding PhD Thesis (2021) Leo Mahony Bursary Prize (2021) Frances V. Harbour Award (2021) She has served on the AI-Curriculum Committee since 2025 and acts as an officer in the International Association of Genocide Scholars (2024–present). Her research is supported by grants and she contributes as a reviewer for journals like Ethics & International Affairs and Global Responsibility to Protect .

• Sustainable Manufacturing
• Production Systems
• Virtual Reality
• +7 more

Björn Johansson is a Professor at Chalmers University of Technology, specializing in Production Systems. His research focuses on sustainability aspects of manufacturing through virtual tools, aiming to minimize environmental, social, and economic impacts. Key methodologies include flow simulation, dynamic environmental assessments, 3D visualization, and layout optimization. Primary research areas: Sustainable Manufacturing, Digital Twins, Environmental Impact Assessment Collaborations: Mélanie Despeisse, Henrik Söderlund, and others in automotive, battery production, and maritime industries His work emphasizes integrating digital technologies (e.g., VR, IoT) with sustainable practices, addressing challenges in supply chain resilience, human-robot collaboration, and circular economy models. Recent studies explore VR training environments, 5G-enabled manufacturing, and extended reality (XR) frameworks. Current projects involve 44 initiatives across battery systems, servitization, and digitalization for sustainability. Publications span 179 articles, including topics like digital twin implementation, ergonomic VR assessments, and hybrid simulation models for environmental analysis.

Jan von der AssenView profile

Researcher

• Holistic Cybersecurity
• Threat and Asset Management
• Security Economics
• +6 more

Jan von der Assen is a doctoral student at the Communication Systems Group (CSG) within the Department of Informatics at the University of Zurich . His research focuses on Holistic Cybersecurity , spanning Threat and Asset Management , Security Economics , and AI-powered Malware Mitigation . Education : MSc in Software Systems from University of Zurich (2021) Research Affiliations : Involved in 12+ national/EU projects (2021–2025) including CheeseChain , CONCORDIA , and DSI Cybersecurity . His work emphasizes Moving Target Defense (MTD) for IoT security, Decentralized Federated Learning with blockchain-based reputation systems, and Ransomware Detection using hypervisor-level system call monitoring. Recent publications include: GuardFS (JISA 2025) for Linux ransomware mitigation HyperDtct (IEEE CSR 2025) on hypervisor-based detection ThreatFinderAI (CNSM 2024) for LLM threat modeling

• Cybersecurity
• Cloud Security
• Biometric Authentication
• +5 more

Patrice CLEMENTE serves as a Lecturer at INSA Centre Val de Loire, France, affiliated with the LIFO research laboratory (Laboratoire d'Informatique Fondamentale d'Orléans). His academic work focuses on cybersecurity with emphasis on cloud infrastructure security, biometric authentication systems, and attribute-based access control models. His research trajectory spans two decades, evolving from foundational SELinux policy analysis and honeypot forensics (2004-2012) toward contemporary medical security applications. Recent publications demonstrate specialization in photoplethysmography-based biometric authentication and Internet of Medical Things security architectures, reflecting adaptation to emerging healthcare technology challenges. Methodologically, his work combines systematic literature reviews with practical security framework development. Analysis of his 25 HAL publications reveals consistent contributions to security policy specification, virtualization security, and intrusion detection systems. The 2023-2024 publications indicate a strategic shift toward healthcare security domains while maintaining core expertise in access control and threat modeling. Scientific awards: No specific awards or fellowships were documented in the source material. Advising and grants: The provided information contains no records of supervised students, doctoral committees, or secured research funding. Labs and teams: CLEMENTE operates within LIFO, a joint research unit of the University of Orléans and INSA Centre Val de Loire under CNRS supervision, focusing on fundamental computer science research with security as a primary pillar.

Mario Marques FreireView profile

Professor

• Computer Systems and Networks
• Cloud Computing
• Computer Security and Privacy
• +3 more

Mário Marques Freire is a Full Professor at the University of Beira Interior, where he serves as President of the Faculty of Engineering and Professor in the Department of Computer Science. He is also a Senior Researcher at Instituto de Telecomunicações, leading the Secure and Intelligent Networked Software Systems Lab. His academic qualifications include a Dr. habil. in Computer Science (2007) and Ph.D. in Electrical Engineering (2000) from the University of Beira Interior, complemented by an M.Sc. in Systems and Automation and B.Sc. in Electrical Engineering from the University of Coimbra. Freire's research spans Computer Systems and Networks, with specific expertise in Cloud Systems, Computer Networking, Security & Privacy, and AI applications. His work focuses on infrastructure virtualization, encrypted traffic classification, DDoS attack detection, and malware analysis. Recent publications demonstrate strong emphasis on cloud security, AI-enhanced defect prediction, and IoT security frameworks. He has received several scientific awards including multiple Conference Best Paper Awards and an ACM Certificate of Appreciation for his long-term contributions. Freire has supervised over 35 graduate students (10 PhD graduates) and led numerous research projects such as 'Towards the assurance of SECURity by dESIGN of the Internet of Things' (FCT/COMPETE/FEDER) and 'Cloud Computing Competence Center'. At the University of Beira Interior, Freire has held significant administrative roles including Vice-Rector (2020-2021), Director of Computer Science Services (2009-2013), and multiple terms as President of the Faculty of Engineering. He leads the Network Applications and Services research group at Instituto de Telecomunicações, focusing on secure networked systems.

• Information Systems Education
• Cybersecurity
• Database Systems
• +3 more

Dr. Anthony Serapiglia serves as Associate Professor and Department Chair in the Department of Computing & Information Systems at Saint Vincent College's Herbert W. Boyer School of Natural Sciences, Mathematics and Computing. Joining the faculty in 2011 after completing his Doctor of Science at Robert Morris University, he integrates 15+ years of industry experience in web development, systems architecture, and project management across healthcare, legal, and manufacturing sectors. His educational credentials include: PhD in Computing & Information Science from Robert Morris University MS from Robert Morris University BS in Computer Science from Allegheny College with Education minor Dr. Serapiglia's research centers on innovative Information Systems pedagogy, with publications spanning cybersecurity education, database design, and cryptocurrency applications. His work consistently bridges theoretical concepts with hands-on implementation through Raspberry Pi projects, Formula One data modeling, and competitive security teams. He emphasizes real-world problem-solving through current events and industry-relevant technologies. Analysis of his publication history reveals persistent focus on educational methodology evolution, particularly in adapting emerging technologies like blockchain and cloud infrastructure for classroom use. His scholarship demonstrates increasing specialization in vulnerability analysis within cryptocurrency ecosystems and SIEM complexity management, while maintaining foundational work in database normalization and networking education. As a liberal arts advocate, he hosts annual interdisciplinary symposiums exploring faith-reason integration and knowledge frameworks. His industry background informs practical course development in Advanced Networking, Computer Security, and Information Systems Management, where he implements lessons from sectors including oil drilling and payment processing.

• Cybersecurity
• Information Security
• Critical Infrastructure Security
• +5 more

Nils Kalstad serves as Associate Professor in Information Security at the Department of Information Security and Communication Technology (IIK) at the Norwegian University of Science and Technology (NTNU) and has been Director of NTNU Community Safety since January 2024. Previously, he directed NTNU's Center for Cyber and Information Security (2017-2023) and led the Department of Information Security and Communication Technology (2017-2023). His academic career began at Gjøvik University College where he served as Doctoral Fellow (2003-2008), Head of the Center for Cyber and Information Security (2014-2015), and Dean of the Department of Informatics and Media Technology (2014-2015). Kalstad earned a civil engineering degree from NTNU's Department of Mathematical Sciences followed by a PhD in information security from the University of Oslo. His doctoral dissertation 'Interdependencies in Critical Infrastructures: A Qualitative Approach to Model Physical, Logical, and Geographical Interdependencies' established his research foundation. He has maintained continuous academic appointment at NTNU since August 2008. His research focuses on cybersecurity, critical infrastructure protection, and community safety, with particular emphasis on modeling interdependencies between physical, logical, and geographical aspects of critical systems. Kalstad's work bridges theoretical security models with practical applications in emergency preparedness, examining vulnerabilities in communication networks, developing anomaly detection frameworks for control systems, and analyzing security policies. His competence areas include emergency preparedness, civil security, cybersecurity, information security, communication technology, and community safety. Analysis of Kalstad's publication record reveals a consistent trajectory from technical security mechanisms toward broader societal security frameworks. His early work focused on critical infrastructure interdependencies and SCADA systems security, while more recent publications address national security strategies and energy security. The pattern shows increasing emphasis on human factors in cyber defense and comprehensive community safety approaches. His research maintains strong connections between theoretical modeling and practical implementation needs. Kalstad serves on multiple national security advisory bodies including the National Reference Group for Civil Security (Research Council) since July 2024, the National Cyber Security Center Reference Group since February 2020, and the Forum for National ICT Security since April 2018. His leadership extends to various boards including NORSAR (since May 2019), the Norwegian Center for Information Security (NorSIS) (2017-2024), and Skeikampen skiarena AS (since October 2014). He has also contributed to NTNU's internal governance through committee service on equality and diversity, honorary doctorates, and academic integration.

Tom ZimmermannView profile

Professor

• Data Science
• Finance
• Empirical Macroeconomics
• +3 more

Tom Zimmermann is a full-time Professor for Data Analytics at the University of Cologne , affiliated with the Faculty of Management, Economics and Social Sciences (WiSo Faculty). His work bridges Data Science , Finance , and Empirical Macroeconomics , with a focus on monetary policy impacts, cybersecurity economics, and quantitative finance. Education : PhD in Economics (2009-2015) and MA in Economics (2009-2012) from Harvard University; Diploma in Economics (2004-2009) from the University of Bonn; Visiting student (2007-2008) at UC Berkeley. His research explores unconventional monetary policy effects (e.g., QE), publication bias in finance, cybersecurity costs in public sectors, and machine learning applications in macroeconomic forecasting. Key initiatives include collaborations with the ECONtribute Cluster of Excellence and the Cologne Laboratory for Economic Research (CLER). Selected Publications address topics like: Quantitative Easing and Bank Lending Standards Employment Effects of Unconventional Monetary Policy Publication Bias in Asset Pricing Cybersecurity Economics in Municipalities Machine Learning for Corporate Default Prediction Fiscal Multipliers and Policy Narratives His work spans Finance , Macroeconomics , and Data Science , with subfields in QE Analysis , Portfolio Theory , Cyber Risk , and Economic Policy . He is based at the University of Cologne’s WiSo Faculty, contributing to Germany’s first economics-focused Excellence Cluster focused on markets and public policy.

Tessa BergView profile

Associate Professor

• Information Systems
• Collaborative Visual Communication
• Online Privacy and Security
• +4 more

Dr. Tessa Berg is an Associate Professor in Computer Science at Heriot-Watt University's School of Mathematical & Computer Sciences. She holds a PhD in Rich Picture Interpretation (2013) and is a Fellow of the Higher Education Academy (2015) and recipient of the University's 'Learning and Teaching Oscar' (2016). Her work bridges information systems, visual communication, and social equity in technology. Heriot-Watt University (2014–present) Edinburgh Napier University (2014–2015) Research Focus: Berg's work explores: Collaborative visual methods for system understanding Online safety for autistic individuals Gender equality in STEM International student transition challenges Digital engagement for marginalized communities UN Sustainable Development Goals alignment Publication Trends: Recent works span vocational education, cybersecurity, autism research, and educational equity with focus on visual tools like Rich Pictures. Her 2025 paper examines adult apprenticeship motivations, while 2024 studies gender disparities in work-integrated learning. Awards: Fellow of Higher Education Academy (2015) Learning and Teaching Oscar (2016) Leadership: Berg serves as Director of Academic Quality for MACS since 2019 and has coordinated 'girls into computing' outreach initiatives. She has supervised 3 PhD students and conducted industry consultancy on system requirements and Rich Picture training.

Xenakis ChristosView profile

Professor

• Systems Security
• Network Security
• IoT Security
• +3 more

Prof. Christos Xenakis is a Professor at the Department of Digital Systems within the University of Piraeus , where he has served since 2007. He holds a Ph.D. in Informatics (2004) and M.Sc. in Informatics and Telecommunications (1996) from the University of Athens , following his undergraduate studies in Informatics (1993). As a key member of the Systems Security Laboratory , he directs the postgraduate program Security of Digital Systems and leads numerous high-impact projects, including CUREX , SealedGRID , INCOGNITO , and SECONDO (all funded by the European Commission under H2020), while also coordinating the ReCRED program and managing the UINFC2 project for DGHOME/ISEC. Active participant in over 30 European and national research programs Leader of the Greek National Cyber Security Team and member of the European Cybersecurity Challenge Steering Committee Editorial board member for journals: Computers & Security , Computer Communications , and IET Information Security His research spans systems, networks, and application security , with a focus on IoT security , blockchain applications , smart grid security , and trust management . His work includes over 90 publications and leadership in projects addressing cyber-insurance , edge computing , and 6G security . Recent publications highlight trends in federated architectures , adversarial machine learning , and decentralized identity management .