Find Academic Supervisors

• Wildlife Ecology
• Conservation Genetics
• Population Genetics
• +5 more

Dr.nat.techn. Florian Kunz M.Sc. is an interdisciplinary wildlife ecologist at the Institute of Wildlife Biology and Game Management , part of the University of Natural Resources and Life Sciences, Vienna (BOKU) , with an associated scientist role at the Natural History Museum Vienna since 2022. Specializing in analytical methods, landscape genetics, and conservation planning, he integrates spatial modeling with population genetics to address biodiversity loss and wildlife management challenges. Education: Ph.D. in Conservation Genetics (BOKU, 2019), Master's in Wildlife Ecology (BOKU, 2017), Bachelor's in Environment and Bio-Resources Management (BOKU, 2015) Research Interests span wildlife ecology, conservation genetics, and land-use planning. His work connects functional connectivity assessments with metapopulation dynamics to inform conservation strategies for alpine species like black grouse. He advances WildÖkologische RaumPlanung (WÖRP) , a framework for wildlife-informed spatial planning, and applies computational tools (e.g., RStudio) to ecological challenges. Recent Publications focus on genetic diversity in fragmented habitats, wolf population viability, and GIS-driven conservation planning. Key themes include climate adaptation, human-wildlife conflict mitigation, and interdisciplinary policy translation. Scientific Awards (2018-2025): Best Poster Awards (2018, 2020), BOKU Nachhaltigkeitspreis (2023), and a 2025 Research Award from the Stadt Wien Jubiläumsfonds. He has delivered 47 lectures across Austria, Germany, Italy, Namibia, Netherlands, Poland, South Africa, Sweden, and Togo, emphasizing practitioner-society collaboration in conservation.

• Pharmaceutical Sciences
• Drug Delivery
• Oligonucleotide-Based Therapeutics
• +8 more

Christoph Kugler, affiliated with the Faculty of Life Sciences and the Department of Pharmaceutical Sciences , is a researcher focusing on drug delivery systems and oligonucleotide-based therapies. His work addresses challenges in cellular uptake, pharmacokinetics, and biodistribution of therapeutic agents. Research Interests: His expertise spans Pharmaceutical Sciences Drug Delivery Oligonucleotide Therapeutics Gene Therapy Nanocarrier Design with implications for tumor targeting and hepatic disorders. Publications: Kugler co-authored two peer-reviewed articles in ACS Applied Materials & Interfaces (2025) and Small (2023), highlighting innovations in splice-switching oligonucleotides and degradable polypeptides. These works contribute to advancements in hepatic gene correction and in vivo biodistribution. Collaborations: His research involves multidisciplinary teams, with external collaborations in polymer science, nanotechnology, and molecular biology.

• Machine Learning
• Deep Learning
• Recurrent Neural Networks
• +7 more

Sepp Hochreiter is University Professor ( Univ.-Prof. ) at the Institute for Machine Learning , Johannes Kepler University Linz, and heads the LIT Artificial Intelligence Lab . He is Principal Investigator of several major Austrian and EU projects, including the FWF Cluster of Excellence “Bilateral Artificial Intelligence” and industry collaborations on certified deep learning, generative CFD simulation, and quantum-AI integration. Research interests revolve around the foundations and applications of deep learning: Recurrent neural networks: Inventor of LSTM; recent work on the xLSTM family that scales to billion-parameter language models while outperforming Transformers in efficiency. Uncertainty & reliability: New uncertainty estimation techniques for language generation, conformal prediction, and out-of-distribution detection using modern Hopfield networks. Generative models: Discrete diffusion samplers, generative drug-design pipelines (Bio-xLSTM), masked-image-model refiners, and physics-informed neural samplers. Applied AI: Few-shot learning in robotics, traffic prediction, medical risk modeling, antibody design, and climate downscaling. His 2022-2025 publications reveal a clear trend toward scaling recurrent architectures (xLSTM, FlashRNN, pLSTM) with hardware-aware optimisation, bridging theory and practice through energy-based models, and deploying trustworthy AI in safety-critical domains such as healthcare and autonomous systems. Scientific recognition & service: Keynote & invited speaker at NeurIPS, ICLR, ICML, and leading industry venues (60+ invited talks since 2022). Principal Investigator on 61 funded projects totalling >€50 M, spanning FWF, FFG, EU Horizon, and direct industry contracts. Editorial board and senior programme committee roles for top-tier ML conferences and journals. Supervision & team leadership: Leads a vibrant lab of 30+ PhD students and post-docs across machine learning theory, generative modelling, and AI for science. Active in joint doctoral training programmes with IST Austria and international partner labs.

• Network Security
• Privacy Enhancing Technologies
• Digital Identity
• +4 more

René Mayrhofer is a full Professor at the Institute of Networks and Security, Johannes Kepler University Linz, leading the LIT Secure and Correct Systems Lab. With over 137 research outputs and active leadership in projects like the Christian Doppler Laboratory for Private Digital Authentication (Digidow), he is a key figure in network security and privacy research. His research focuses on practical security solutions for real-world systems, particularly in digital identity management , Tor network security , and mobile device authentication . Recent work addresses critical challenges in Android security states, biometric systems, and trusted execution environments, emphasizing deployable privacy-preserving architectures for physical-world applications. Analysis of his 15 most recent publications reveals strong trends in empirical security evaluation (e.g., Android device security studies) and system hardening (e.g., attested builds and backdoor mitigation), with growing emphasis on supply chain security and decentralized identity frameworks. Professor Mayrhofer has supervised 12 students and currently manages 6 research projects, including the active Digital Shadows initiative (funded until 2025) and the Digidow laboratory (running through 2026). His grants include significant support from federal authorities and the Austrian Research Promotion Agency. As principal investigator of the LIT Secure and Correct Systems Lab, he drives interdisciplinary research in secure communication protocols, privacy-aware authentication, and verifiable computing systems, collaborating with industry partners on real-world deployment challenges.

Covadonga Rodrigo San JuanView profile

Associate Professor

• Digital Innovation
• Inclusive Learning
• Experiential Learning
• +5 more

Covadonga Rodrigo San Juan is an Associate Professor in the Department of Languages and Computer Systems at Universidad Nacional de Educación a Distancia (UNED), Spain's National University of Distance Education. She serves as Co-director of the DineLLL (Digital Innovation for iNclusive and Experiential Life Long Learning) research group, leading interdisciplinary work that bridges computer science, psychology, art, and economics. Dr. Rodrigo's research focuses on digital innovation for inclusive education , with particular emphasis on life-long learning technologies, digital accessibility, and the application of emerging technologies to educational contexts. Her work spans digital humanities, accessibility solutions for diverse learners, and the development of innovative educational platforms including the AVIP system for synchronous remote learning and virtual laboratories for scientific education. Her publication record demonstrates consistent contributions to educational technology since 1999, with recent work (2020) on accessible museums using mixed reality and gamification in the MUSACCES project. Her research shows a clear trajectory from technical telecommunications engineering toward interdisciplinary educational innovation, reflecting her stated concern for human wellbeing and bias in AI-based technologies. Dr. Rodrigo has contributed significantly to UNED's adaptation to the European Higher Education Area, developing tools and methodologies that support blended learning approaches while maintaining the university's distance education mission. Her work addresses technological, content, and pedagogical accessibility dimensions to promote equal participation in educational experiences.

• Formal Verification
• Model Checking
• Parity Games
• +5 more

Tom van Dijk serves as an Assistant Professor in the Formal Methods and Tools group at the University of Twente, where he conducts cutting-edge research in formal verification and develops practical software tools for the verification community. His work bridges theoretical computer science with real-world applications in model checking and synthesis. His educational background includes: PhD in Computer Science (2016), University of Twente. Thesis: Sylvan: Multi-core Decision Diagrams MSc in Computer Science (2012, cum laude), University of Twente. Thesis: The parallelization of binary decision diagram operations for model checking BSc in Computer Science (2010), University of Twente. Thesis: Analysing And Improving Hash Table Performance Van Dijk's research centers on formal verification with specialization in parity games and binary decision diagrams . He pioneers multi-core parallel algorithms for symbolic model checking, focusing on practical implementations that scale to industrial problems. His work integrates SAT/SMT solving , reactive synthesis , and algorithm optimization to advance the state-of-the-art in verification tooling. His publication trajectory reveals consistent innovation in parity game solving, evolving from foundational work on tangle-based algorithms to recent contributions in reproducibility and AI-aided verification. The 2024 papers demonstrate expanding scope into educational technology while maintaining core focus on game-solving efficiency and synthesis techniques. His key recognitions include: Dutch national M&I Informatie Scriptieprijs 2012 (2nd place) for MSc thesis Best paper award at SPIN 2017 for distributed BDD research Van Dijk actively mentors students and seeks collaborations: Student Supervision : Welcomes BSc/MSc students for projects on parity games and BDDs Tool Development : Maintains open-source research tools (Sylvan, Oink, Knor) Community Service : Serves on 20+ program committees including CAV and TACAS As core member of the Formal Methods and Tools group, he contributes to major verification frameworks including LTSmin, Storm, and IscasMC. His Lace work-stealing framework underpins parallelization in multiple verification tools, while ongoing projects focus on polynomial-time parity game solutions and AI integration in verification workflows.

• Quantum Entanglement
• Quantum Optics
• Interferometry
• +2 more

Raffaele Silvestri is a researcher at the Faculty of Physics, University of Vienna, specializing in quantum optics and quantum information. His work centers on developing quantum-enhanced interferometric techniques to measure fundamental physical phenomena including Earth's rotation and gravitational effects. His primary research interests include: Quantum Entanglement Quantum Optics Interferometry General Relativity Earth Rotation He investigates how entangled photon systems can achieve unprecedented precision in detecting relativistic effects, with applications spanning fundamental physics and geophysical measurement. Recent publications demonstrate progressive scaling of interferometric setups from laboratory prototypes to Earth-scale measurements. Analysis of his 2022-2024 publications reveals a clear trajectory toward practical quantum technologies for gravitational metrology, with increasing experimental scale and integration of quantum information principles into relativistic measurement frameworks. This work bridges quantum computation and general relativity through experimental quantum optics. He actively collaborates through the ERC Synergy GRAVITES project, which unites quantum physics and gravitational research. His conference presentations—including upcoming talks at 2025 international events—highlight his role in advancing quantum measurement science. As part of Vienna's Quantum Optics, Quantum Nanophysics and Quantum Information research group, he contributes to experimental platforms exploring quantum foundations and their applications in precision sensing.

• Quantum Information
• Quantum Optics
• Quantum Computing
• +3 more

Peter Schiansky is a researcher in the Faculty of Physics specializing in Quantum Optics, Quantum Nanophysics, and Quantum Information. Holding a BSc and M.Sc., he has maintained active research output from 2015 to the present with increasing publication frequency since 2021. Education: Bachelor of Science (BSc) Master of Science (M.Sc.) Research Focus: Schiansky's work centers on experimental quantum physics, particularly quantum time-reversal phenomena, photonic quantum computing implementations, and quantum cryptographic protocols. His research demonstrates a clear evolution from stellar convection simulations (2015) to cutting-edge quantum information experiments, with recent emphasis on quantum networks, secure communication, and quantum-enhanced machine learning. The experimental nature of his work is evident across all publications, utilizing optical systems to test fundamental quantum mechanics principles. Publication Trends: Analysis of his 15 most recent publications reveals dominant themes in quantum time-reversal (appearing in 7 articles), quantum cryptography (6 articles), and photonic implementations (12 articles). His work shows strong interdisciplinary connections between quantum foundations, information theory, and practical engineering applications, with increasing focus on real-world quantum technology deployment since 2022. Scientific Awards: No scientific awards were mentioned in the provided text. Advising and Grants: The provided text contains no information regarding students, advising activities, or research grants. Labs and Teams: Schiansky operates within the Quantum Optics, Quantum Nanophysics and Quantum Information research group, evidenced by extensive international collaborations across his publications. His upcoming participation in a 2025 research rocket launch and satellite software workshop indicates involvement in space-based quantum experiments, while his scheduled visiting researcher position at DLR demonstrates integration into aerospace-focused quantum technology development teams.

• Quantum Optics
• Quantum Nanophysics
• Quantum Information
• +3 more

Michael Antesberger is a researcher at the Faculty of Physics , specializing in quantum optics, quantum nanophysics, and quantum information. His work intersects quantum technology, photonics, and quantum communication, with a focus on experimental advancements. Research Interests: His research spans Quantum Communication Protocols Entanglement Distribution Quantum Cryptography Time Reversal Dynamics Quantum Networking Experimental Quantum Systems Recent Publications include experimental studies on telecom time-bin entangled photons, device-independent certification of GHZ states, and superposition of quantum evolution with time reversal. These works emphasize applications in fiber optics, quantum computing, and thermodynamics.

• Quantum Information
• Quantum Gravity
• Quantum Foundations
• +5 more

Časlav Brukner is a full Professor at the Faculty of Physics, University of Vienna, specializing in Quantum Optics, Quantum Nanophysics and Quantum Information. His research spans foundational quantum theory, quantum gravity, and quantum information processing, with significant contributions to quantum reference frames and relational quantum mechanics. His research interests focus on the intersection of quantum mechanics and gravity, quantum information theory, and quantum foundations. Key areas include: Quantum Reference Frames and Relational Quantum Mechanics Quantum Gravity and Spacetime Structure Quantum Information Processing Architectures Quantum Thermodynamics and Measurement Theory Analysis of his recent publications (2023-2025) reveals a strong emphasis on quantum reference frames, spacetime structure, and experimental quantum mechanics. His work increasingly bridges theoretical quantum foundations with experimental implementations, particularly in quantum gravity phenomenology and time-reversal experiments. Professor Brukner leads major research initiatives including: quantA: Quantum Science Austria (2023-2028) Beyond C: Quantum Information Systems Beyond Classical Capabilities (2019-2027) QISS: Quantum Information Structure of Spacetime (2019-2022) As an active academic leader, he organizes key events like the Helgoland 2025 conference commemorating 100 years of quantum mechanics and coordinates the Mini-Symposium on Quantum Thermodynamics. His laboratory focuses on experimental tests of quantum foundations and quantum information processing architectures.

• Quantum Physics
• Quantum Information Science
• Quantum Optics
• +2 more

Carla Maria Davida Richter is a Researcher at the University of Vienna actively engaged in the SFB BeyondC research program, focusing on experimental quantum physics and quantum communication systems. She maintains international collaborations including a visiting researcher position at The Institute of Photonic Sciences (ICFO) in Barcelona during March 2023. Richter's research centers on quantum information science with specific expertise in entangled photon engineering, hollow-core fiber transmission for quantum networks, and quantum dot physics. Her work addresses critical challenges in quantum communication infrastructure, including photon loss mitigation in fiber networks and spectral range optimization for telecom-wavelength quantum systems. This research bridges fundamental quantum optics with practical engineering solutions for deployable quantum technologies. Her 2024 publication demonstrated successful distribution of telecom time-bin entangled photons through 7.7 km of antiresonant hollow-core fiber—a significant advancement for quantum network integration with existing telecom infrastructure. Richter's upcoming 2025 research on device-independent proofs of indefinite causal order using quantum switches indicates progression toward more complex quantum information processing protocols and foundational tests. Richter collaborates internationally through the SFB BeyondC program and ICFO connections, with research supported by Austrian Science Fund initiatives. As an early-career researcher, she cultivates a collaborative environment focused on experimental quantum optics and quantum communication engineering, providing hands-on opportunities in cutting-edge quantum technology development.

• Distributed Systems
• Artificial Intelligence
• 6G Networks
• +2 more

Milos Gravara is a PreDoc Researcher at the Vienna University of Technology’s School of Informatics, specializing in distributed systems and AI-driven network modeling. His work focuses on next-generation communication technologies, particularly 6G networks and 3D continuum computing architectures. Role: PreDoc Researcher Institution: Vienna University of Technology School: School of Informatics Email: milos.gravara@tuwien.ac.at Gravara’s research integrates artificial intelligence with telecommunications infrastructure, as evidenced by his 2025 publication on compound AI models for 6G networks. His current project, NexaSphere (2025–2027), explores scalable AI frameworks for future network topologies. Details about formal education, awards, or student supervision are not explicitly provided in the available information.

Juan Luis Herrera GonzalezView profile

Researcher

• Computing Continuum
• Microservice Orchestration
• Network Management
• +7 more

Juan Luis Herrera Gonzalez is a Postdoctoral Researcher at the Distributed Systems Group within the Faculty of Informatics at Technische Universität Wien (TU Wien) . Previously affiliated with the University of Extremadura, University of Pisa, and University of Bologna, his research focuses on Computing Continuum systems, microservice orchestration, network optimization, and sustainability in distributed environments. PhD in Computer Science (University of Extremadura, 2023) Collaborator with 8 universities across 4 countries 50+ publications with 270+ citations His work addresses Quality of Service (QoS), economic cost reduction, and sustainability in domains such as IoT, 5G networks, and Digital Twins. Recent publications emphasize machine learning-driven SDN optimization, federated learning applications, and energy-efficient fog computing. He contributes to frameworks for adaptive analytics, xApp development, and latency minimization in hybrid infrastructures. His research portfolio spans from theoretical models using Mixed-Integer Linear Programming to practical implementations in testbeds for O-RAN and SDN-fog scenarios. Current projects include the Marie Skłodowska-Curie Actions fellowship, focusing on real-world deployments and developer-centric tools like EFCC (Emulation Framework for Cloud Continuum) and xSTART (xApp Simulation Environment).

• Transportation Engineering
• Sustainable Logistics
• Supply Chain Management
• +3 more

Ladislav Bartuska is a researcher at the University of Applied Sciences Steyr, affiliated with LOGISTIKUM and the Center of Excellence for Food Technology and Nutrition. His work focuses on transportation engineering, sustainable urban freight logistics, and system dynamics, often addressing challenges in vehicle emissions and supply chain stability. He has collaborated with multidisciplinary teams on projects like LOG-GROW and JRC LIVE. Research Activity: 2023-2024 Publications: 5 research outputs (2023-2024) Key Collaborations: With experts in logistics, automotive engineering, and sustainability Ladislav Bartuska's research spans transportation engineering , urban freight logistics , and system dynamics . Recent work includes analyzing aggressive driving effects on emissions , modeling fresh produce supply chains , and developing real-time visibility systems for value networks. His projects emphasize sustainability, resilience, and technological innovation in logistics. His publications reveal trends in vehicle emission reduction , smart city infrastructure , and supply chain dynamics . Key themes include transportation policy optimization , electric vehicle charging networks , and system dynamics modeling applied to logistics. Collaborative work with institutions across Austria highlights cross-sector partnerships. As a principal investigator and collaborator in multiple projects, Bartuska contributes to advancing logistics technology and sustainable freight systems . His affiliations with LOGISTIKUM and Josef-Ressel-Center reflect expertise in applied research, particularly in automotive and logistics domains.

Farzaneh DarbanianView profile

Researcher

• Supply Chain Management
• Data Analytics
• Predictive Maintenance
• +3 more

Farzaneh Darbanian is a researcher at the LOGISTIKUM – Steyr Center of Excellence Logistics , embedded within the University of Applied Sciences Upper Austria . She holds an MSc and has acted as both Principal Investigator and Co-Investigator on multiple funded projects since 2019. Research Interests: End-to-end supply chain optimisation using advanced data analytics. Predictive maintenance and resource assignment in service industries. Deep-learning-driven demand forecasting in grocery retail. Text-mining and sentiment analysis for service-quality assessment. Her recent work explores predict-then-optimise frameworks that couple machine-learning models with operational decision-making, especially for holiday-driven retail demand and maintenance scheduling in geographically distributed networks. Projects & Funding: LOG-JRC PREVAIL (2023–2027): Josef-Ressel-Center project on predictive value-network intelligence. Predictive Service and Maintenance (2021–2022): Resource allocation under decision-dependent uncertainty. NEXT (2019–2022): Pattern-recognition and extended value-network foresight. Scientific Output: 18 peer-reviewed contributions (2019-2025) including journal articles, conference papers, and book chapters indexed in Scopus and Procedia Computer Science.