Find Academic Supervisors

• Cybersecurity
• Game Theory
• Quantum Cryptography
• +5 more

Stefan Rass is a Professor at the Institute of Networks and Security within the Faculty of Engineering & Natural Sciences at Johannes Kepler University Linz (JKU), where he leads the LIT Secure and Correct Systems Lab. As Principal Investigator for FFG-funded projects including reSilienz (digital supply chain resilience, 2023–2025) and ITPUK (AI signature verification, 2022–2024), he bridges theoretical game theory with practical cybersecurity solutions for critical infrastructures and robotics systems. His research spans game-theoretic security models (patrolling games, defense-in-depth strategies), quantum cryptography (QKD network architectures), and cyber deception frameworks like Honeyquest for measuring honeypot effectiveness. Recent work addresses robotics security benchmarking (RobotPerf), cryptographic instruction chaining for control flow protection, and risk assessment methodologies for interdependent infrastructures. His mathematical decision-making approach integrates bounded rationality and stochastic modeling to solve real-world security challenges. Professor Rass actively shapes the field through program committee roles (ARES 2023), peer reviews, and invited talks on security transparency. His current projects focus on cost-benefit-aware monitoring for cyber-physical systems and quantum key distribution standardization, reflecting Austria’s strategic priorities in digital resilience. The LIT Secure and Correct Systems Lab under his direction develops foundational theories while deploying tools for industrial applications, particularly in critical infrastructure protection and secure robotics workflows.

• Artificial Intelligence
• Machine Learning
• Cybersecurity
• +3 more

Marlies Temper is a Professor at St. Pölten University of Applied Sciences, serving as Academic Director for the Data Intelligence (MA) and Data Science and Artificial Intelligence (BA) programs. She is Deputy Head of the Department of Computer Science and Security and a member of the UAS Board from 2023 to 2026. Her roles include leading educational initiatives, conducting research, and managing continuing education programs. Academic Director, Data Intelligence (MA) Academic Director, Data Science and Artificial Intelligence (BA) Deputy Head, Department of Computer Science and Security Continuing Education Officer Marlies Temper's research focuses on Artificial Intelligence , Cybersecurity , and Big Data Analytics . She explores the ethical implications of AI, develops gamified models for security training, and investigates continuous biometric authentication methods. Her work bridges the gap between theoretical advancements and practical applications in AI-driven security solutions. Her recent publications highlight trends in AI Security (e.g., risk frameworks), Biometric Authentication (e.g., touch dynamics), and Cybersecurity Education (e.g., gamified simulations). She emphasizes the responsible use of AI and Big Data while addressing technical and ethical challenges.

Franz WotawaView profile

Professor

• Model-Based Reasoning
• Qualitative Reasoning
• Theorem Proving
• +6 more

Franz Wotawa is a Professor of Software Engineering at Graz University of Technology. He holds a M.Sc. (1994) and PhD (1996) from Vienna University of Technology. He has served as head of the Institute for Software Technology from 2003–2009 and since 2020. His research focuses on model-based reasoning, software testing, autonomous systems, and diagnosis, with over 390 peer-reviewed publications. He founded Softnet Austria (2006) to bridge research and industry. He leads the Christian Doppler Laboratory for Quality Assurance Methodologies for Autonomous Cyber-Physical Systems since 2017 and has supervised 90+ master and 36+ PhD students. His awards include the 2016 Lifetime Achievement Award from the International Diagnosis Community. He is a member of Academia Europaea, IEEE, and AAAI. **Education**: M.Sc. in Computer Science, Vienna University of Technology, 1994 PhD, Vienna University of Technology, 1996 **Research Interests**: Model-based reasoning, qualitative reasoning, theorem proving, mobile robotics, verification/validation, software testing/debugging, AI, and autonomous systems. **Notable Projects**: A-IQ Ready (2022–2026): Quantum sensing for autonomous systems. ALFA (2024–2027): AI for smart diagnosis in building automation. Bilateral AI (2024–2029): Combining symbolic and sub-symbolic AI. VARCOS (2025–2028): Vehicle-road cooperative systems for autonomous driving. **Awards & Memberships**: Lifetime Achievement Award (2016, International Diagnosis Community) Senior Member, AAAI Member of Academia Europaea, IEEE, ACM, and Austrian Computer Society **Labs/Teams**: Christian Doppler Laboratory for Quality Assurance Methodologies (since 2017). Active in Cluster of Excellence “Bilateral AI” at TU Graz.

Karin Elisabeth SiebenhandlView profile

Researcher

• Human-Computer Interaction
• Accessibility in Technology
• Gender Studies in Academia
• +3 more

Karin Elisabeth Siebenhandl is affiliated with the University for Continuing Education Krems, holding a Researcher position in the Office for Research Services. She holds engineering and doctoral degrees (Dipl.-Ing., Dr.) and specializes in interdisciplinary research areas including human-computer interaction, accessibility technologies, and gender equality in academia. Her work focuses on improving public infrastructure usability, particularly in transportation systems, and advancing gender equity initiatives in scientific organizations. Her research projects include EU-funded GenderTime (2013-2016), which evaluated strategies to support women in science, and the FFG-supported INNOMAT (2010-2011) developing barrier-free ticket vending machines. She has also led projects on road safety signage (Infrastructure and Safety, 2006-2008) and user-centered design for public information systems. Key research interests span: 1) Inclusive technology design for diverse user groups, 2) Gender equality policies in academic institutions, 3) Human factors in transportation infrastructure, and 4) Open access publishing strategies. Recent publications (2013-2017) emphasize user-centered approaches to public service technologies and institutional change processes. She has secured funding from EU Framework Programs (FP6/FP7), Austrian Research Promotion Agency (FFG), and industry partners. Her work has been presented at conferences like CeDEM, womENcourage, and ITS World Congress, demonstrating commitment to both technical innovation and societal impact.

• Systems
• Concurrency
• Memory Management
• +5 more

Christoph Kirsch is a Professor and Chair of the Department of Computer Science at the University of Salzburg. He also serves as Chair of the Programming Research Laboratory at the Faculty of Information Technology, CTU Prague. His research focuses on systems, concurrency, memory management, and formal methods, with notable contributions including the Selfie educational software project and work on symbolic execution. He is a prolific author with over 50 publications in top venues like LCTES and EMSOFT. Education: Ph.D. in Computer Science (details not specified). His teaching includes courses on elementary computer science concepts and curricula development. He advises students such as Anna Bolotina and has graduated over a dozen PhD students. Research highlights include the Selfie system (self-referential C compiler and emulator), work on concurrency primitives like Scal and Timestamped Stack, and contributions to real-time systems (Logical Execution Time, Variable-Bandwidth Servers). His recent focus includes teaching digital thinking and evaluating eval in R programs. He has organized conferences like MPLR’24 and served on program committees for EuroSys and RTNS. His book Elementary Computer Science emphasizes foundational concepts for broad audiences.

• Computer Science
• Database Systems
• Process Mining
• +4 more

Andreas Manfred Pointner is an Assistant Professor at FH Hagenberg , specializing in interdisciplinary research at the intersection of computer science, healthcare informatics, and software engineering. He leads research in graph databases, process mining, and attribute grammars with applications in healthcare IT and automated data systems. His affiliations include the Web Intelligence and Innovation Laboratory , AIST Center of Excellence , and Medical Engineering/TIMed Center . He has contributed to projects such as RiskAI (risk management in enterprises), PASS (plan analysis automation), and REPO (radiology e-health platforms). Research Interests: Graph database optimization, interoperability in healthcare systems (HL7 standards), fuzzing techniques for software testing, and process mining for audit event analysis. His work bridges theoretical formal methods with practical applications in clinical workflows and automated data cleansing. Notable Contribution: Developed a graph transformation framework for complex data structures Recipient of the Best Paper Award 2022 for contributions to intelligent systems Collaborative Projects: Focus on AI-driven solutions for enterprise risk management and healthcare interoperability He actively participates in international conferences and has supervised projects involving 3D model analysis, contour extraction, and global disease monitoring systems.

• Software Engineering
• Probabilistic Programming
• Security and Penetration Testing
• +5 more

Jürgen Cito is an Associate Professor in the Department of Software Engineering at the Faculty of Informatics, TU Wien, where he leads research in probabilistic programming, security, and configuration management. His work is supported by major grants from the Austrian Science Fund (FWF), European Commission, and Meta Platforms, Inc., with active projects spanning 2022-2027. His research focuses on the intersection of software engineering and machine learning, particularly in static analysis of probabilistic programs, AI-driven penetration testing, and infrastructure security. Key contributions include identifying secret exposure in configuration files, grammar inference for ad hoc parsers, and performance prediction from source code, often combining empirical studies with tool development. Analysis of his 15 most recent publications (2020-2024) reveals three dominant trends: (1) Security vulnerabilities in configuration management systems, especially secret leakage in dotfiles; (2) Application of large language models to offensive security testing; and (3) Machine learning techniques for performance prediction and AutoML optimization in software contexts. Cito has supervised 22 Master's students on cutting-edge topics including AI security, infrastructure as code, and program analysis. His current research portfolio includes: Types4Strings (FWF, 2024-2027): Type systems for string processing Cloud Open Source Research Mobility Network (EU, 2023-2026): Open-source cloud infrastructure Software Assistants for Probabilistic Programming (Meta, 2022-2026): AI tools for probabilistic code He is embedded in TU Wien's Institute of Software Technology and Interactive Systems (E194), collaborating on cross-institutional projects focused on software security and developer tooling, with particular emphasis on empirical validation of security practices and configuration management systems.

Christian FibichView profile

Researcher

• Fault-Tolerant FPGA Design
• Reliability Analysis of SRAM-Based FPGAs
• High-Level Synthesis

Christian Fibich is a Researcher and Lecturer at the Department of Electronic Engineering, University of Applied Sciences Technikum Wien, Austria. He leads the Research Group Embedded Systems, focusing on FPGA reliability and high-level synthesis. His roles include project management for R&D initiatives like VECS (2013-2018), INES (2018-2023), and the 2024 Drohnentechnik integration project. Fibich holds an MSc in Embedded Systems from Technikum Wien and has been active in the field since 2010. Research interests include fault-tolerant FPGA design, reliability analysis of SRAM-based FPGAs, and high-level synthesis optimization. His work emphasizes practical applications of open-source tools and automated design exploration. Recent projects explore temperature-dependent fault effects and drone integration in academic programs. Publications span FPGA reliability, fault injection methods, and embedded systems design, with a focus on open-source IP cores and hardware security. His contributions include Fiji (a fault injection tool) and HLShield (a reliability framework for HLS).

• Software Engineering
• Cybersecurity
• Cloud Computing
• +3 more

Georg Simhandl is affiliated with the Faculty of Computer Science, specifically within the Research Group Software Architecture. His work focuses on advancing theoretical and practical aspects of software engineering with a strong emphasis on cybersecurity, microservices, and empirical studies. Research Interests: His core research spans Microservices Architecture , Cybersecurity in Software Systems , Formal Methods , and Empirical Software Engineering . He investigates topics such as secure firmware updates, threat modeling for microservices, and developer cognition in system maintenance. Recent work highlights include leveraging TPMs for cryptographic anchoring and analyzing how dataflow diagrams enhance security analysis. Activities: He has presented at conferences like the ACM SIGPLAN International Conference on Software Language Engineering (SLE '24) and participated in workshops such as the IEEE/ACM International Workshop on Eye Movements in Programming (EMIP). His research bridges theoretical frameworks with practical software development challenges. Labs/Teams: Works within the Research Group Software Architecture, contributing to projects on secure architecture design and empirical evaluation of software practices.

• 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.

Mathias PolzView profile

Researcher

• Optoelectronic Neurostimulation
• Materials Science
• Mechanobiology
• +5 more

Mathias Polz serves as a University Assistant and Ph.D. Researcher at Graz University of Technology's Institute of Biomechanics, Austria. His academic journey spans from Bachelor's to Doctoral studies in Biomedical Engineering at the same institution, with concurrent appointments at the Medical University of Graz through collaborative projects since 2020. His educational background includes: B.Sc. Biomedical Engineering (2015-2020, TU Graz) M.Sc. Biomedical Engineering - Biomedical Device Design and Safety (2020-2021, TU Graz) Ph.D. Candidate in Biomechanics (2023-present, TU Graz) Ph.D. Candidate in Health Care Engineering (2023-2025, TU Graz) Polz's research centers on optoelectronic neurostimulation and tissue-inspired biomaterials , with significant contributions to wireless biomimetic stimulators for cellular activation. His work bridges materials science and mechanobiology , focusing on organic semiconductor interfaces for neural and cardiac applications. Recent projects like LOGOS-TBI demonstrate his expertise in light-activated organic semiconductors for cell culture characterization. Analysis of his 8 publications (2022-2025) reveals three dominant research streams: optoelectronic neural stimulation (40% of works), cardiac electrophysiology interfaces (30%), and biomaterial biointegration (30%). His methodology consistently combines in vitro models with computational analysis , frequently employing organic photovoltaic devices for precise cellular activation. His scientific recognition includes: Zagreb Neuroelectronics Symposium Best Poster Award (1st place, 2022) Initiative Gehirnforschung Research Grant (2024) BioTechMed Best Collaborative Paper Award (2024) BioEl Best Poster Award (3rd place, 2025) Polz actively contributes to collaborative research initiatives including the LOGOS-TBI project with Medical University of Graz and B. Braun Melsungen. His grant portfolio features the Initiative Gehirnforschung award supporting neuroelectronics development. Beyond research, he mentors through Graz's Sindbad Program and organizes Pint of Science Austria events, demonstrating commitment to academic outreach. He operates within TU Graz's Biomechanics research ecosystem, collaborating with the Center for Biomarker Research in Medicine and international partners like CREAX (Belgium). His current Ph.D. focuses on wireless biomimetic stimulators for optoelectronic cellular activation , building on prior work with organic photocapacitors for neuronal network stimulation.

Thomas EiterView profile

Professor

• Artificial Intelligence
• Knowledge Representation and Reasoning
• Computational Logic
• +7 more

Thomas Eiter is a Full Professor at the Institute of Logic and Computation, Technical University of Vienna (TU Wien), where he serves as Head of Research Unit. He is a Full Member of the Division of Mathematics and Natural Sciences since 2022 and holds leadership roles within the university. His research focuses on knowledge representation and reasoning, computational logic, algorithms and complexity in AI, declarative problem solving, nonmonotonic logic programming and databases, and reasoning about actions and change. His work bridges theoretical foundations with practical applications in artificial intelligence, particularly in logic programming and knowledge-based systems. He has made significant contributions to Answer Set Programming (ASP), developing frameworks like DLV and HEX programs that enable sophisticated reasoning capabilities. His recent publications demonstrate a strong focus on stream reasoning (LARS framework), knowledge forgetting, modular reasoning systems, and the integration of logic programming with ontologies. His research shows consistent contributions to both theoretical foundations and practical implementations of AI systems over several decades. ACM Fellow (2020) Fellow of the European Association for AI (2006) Distinguished Paper Award of the 17th International Joint Conference on Artificial Intelligence (IJCAI, 2001) Prominent Paper Award of the Artificial Intelligence Journal (2013) Test of Time Award (10 years) of the International Conference on Logic Programming (2013) Eiter has led and participated in numerous research projects, both internationally funded (such as LogiCS@TUWien, Humane AI, AI4EU) and nationally funded (including projects like BILAI, TAIGER, and several FWF-funded initiatives). His research unit has received substantial support from European Commission programs (H2020) and Austrian funding agencies (FWF, FFG, WWTF). He is actively involved in the academic community as a member of the Austrian Academy of Sciences (ÖAW), Academia Europaea, and has served on the Executive Council of AAAI. His research unit maintains strong connections with international collaborators and has developed influential systems like the DLV answer set programming system.

Heather ForanView profile

Professor

• Family Health
• Mental Health
• Depression
• +6 more

Prof. Heather Foran serves as Professor and Head of the Health Psychology Unit at the Institute of Psychology, Alpen-Adria-Universität Klagenfurt, Austria. She also coordinates the university-wide research cluster in 'Public Health'. A licensed clinical psychologist in the U.S. and licensed psychotherapist in Germany, she has established an international reputation in family violence research and prevention. Alpen-Addia-Universität Klagenfurt, Institute of Psychology (Current) Ulm University, Institute of Psychology and Education (2014-2015) Technische Universität Braunschweig, Institute of Psychology (2011-2014) Dr. Foran's research focuses on family health, mental health, depression, parenting, intimate partner violence, public health, and psychometrics. Her work spans clinical assessment, psychopathology, mental illness treatment, and psychoeducation. She has developed expertise in DSM-related diagnostic systems and personality assessment, with particular focus on relationship problems and violence. Her publication record demonstrates consistent output with 129 publications and over 3,600 citations. Recent work shows increasing focus on international, cross-cultural studies examining parental burnout across 36-42 countries, technology-based interventions, and global health initiatives targeting violence prevention. Her research increasingly emphasizes implementation science and scaling evidence-based programs, particularly in low- and middle-income countries. Dr. Foran leads significant international collaborations, particularly on the FLOURISH project focusing on adolescent mental health across multiple countries. She has served as Principal Investigator on numerous international projects regarding family maltreatment and mental health symptom prevention. Her current work includes developing and testing conversational agent self-help programs, examining parental burnout across cultural contexts, and investigating the co-occurrence of intimate partner violence and child maltreatment in Eastern Europe. She maintains active research lines in psychometric validation of assessment tools across diverse cultural settings.

Nadiia GumerovaView profile

Researcher

• Polyoxometalate chemistry
• Structural studies of inorganic complexes
• Ionic equilibria in aqueous solutions
• +3 more

Nadiia Gumerova , PhD, is a researcher at the Institute of Biophysical Chemistry under the Faculty of Chemistry at the University of Vienna , Austria. Her work focuses on polyoxometalate chemistry, including targeted synthesis, structural analysis, and biomedical applications. She has published extensively on aqueous speciation, metal-substituted polyoxometalates, and their interactions with proteins and biological systems. PhD in Inorganic Chemistry (2014), Donetsk National University Post-doctoral fellow (2019–present), University of Vienna Lise Meitner fellow (2017–2019), University of Vienna Her research interests encompass polyoxometalate design, structural transformations in biological environments, and development of bioactive materials. Recent work includes studies on vanadate-protein interactions, antibiotic activity of Preyssler-type clusters, and enzyme inhibition by polyoxotungstates. Publications (15 most recent) highlight trends in polyoxometalate speciation under varying ionic strengths, biomedical applications of Anderson-Evans and Keggin-type derivatives, and structural insights into metal-substituted tungsten clusters. Keywords span Inorganic Chemistry , Biochemistry , and Materials Science . Grants include the FWF Meitner Program M2203 (2017–2019) and FWF Stand-Alone Project P33927 (2021–2023). She collaborates with the RompelLab and contributes to interdisciplinary projects applying inorganic chemistry in biological contexts.

• Renewable Energy Technologies
• Building-Integrated Photovoltaics (BIPV)
• Smart Cities
• +4 more

Prof. Momir Tabakovic is a Senior Lecturer/Researcher at Technikum Wien, serving as Head of the Competence Area for Renewable Energy Technologies. He specializes in integrating renewable energy systems into urban environments and educational frameworks. His work focuses on building-integrated photovoltaics (BIPV), smart cities, and sustainable energy solutions. He has contributed to projects like the 'Zukunftsquartier' initiative in Vienna, advancing plus-energy neighborhoods and net-zero building standards. His educational background includes a PhD and MSc, with expertise in engineering and renewable energy systems. He has developed BIPV courseware for higher education and professionals, emphasizing practical applications and industry collaboration. Key research areas include smart grid technologies, energy storage, and digital transition strategies in engineering education. His work bridges academic research with real-world implementation, particularly in South Africa and Austria. Notable projects include the Dem4BIPV initiative for educational materials in photovoltaics and participation in the EU-ASCIN Smart Cities Network. He advocates for open labs and mobile labs to enhance postgraduate education and industry partnerships. Current efforts prioritize urban energy systems, renewable integration, and achieving the 2050 energy scenario goals.