Find Academic Supervisors

• Energy Systems
• Renewable Energy Integration
• Industrial Decarbonization
• +3 more

Thomas Kienberger holds the Chair of Energy Network Technology, focusing on energy systems, decarbonization, and infrastructure development. His research spans district heating networks, carbon capture technologies, and industrial energy efficiency. He has contributed to over 217 publications and supervised 86 theses. Active in conferences such as the NEFI-Konferenz 2024 and OVE-Energietechnik-Tagung, he collaborates on projects like CaCTUS and transform. industry. His work emphasizes Austria’s energy transition, including policy frameworks and techno-economic analyses. Key research areas include supra-regional heat networks, renewable integration in industry, and optimizing energy systems through AI. He leads collaborative initiatives on industrial decarbonization strategies, CO2 pipeline design, and grid stability solutions. His involvement in EU frameworks underscores his role in shaping sustainable energy policies and technologies. Kienberger’s activities include editorial roles, peer reviews, and academic workshops. His projects address challenges like heat pricing models, electric steel production efficiency, and repurposing coal plants. He advocates for cross-sectoral approaches to achieve climate neutrality in energy-intensive sectors.

Markus SteinbergerView profile

Associate Professor

• GPU Computing
• Computer Graphics
• Parallel Processing
• +3 more

Markus Steinberger is an Associate Professor at Graz University of Technology (Austria), leading the GPU Computing and Visualization Group at the Institute for Computer Graphics and Vision. He holds an MSc and PhD in Computer Science from TU Graz, with a postdoc and multiple leadership roles in academic and industry labs, including NVIDIA and the Max Planck Institute. His research focuses on GPU scheduling, parallel computing, and high-performance visualization techniques. He has led teams at TU Graz, Huawei Technologies (Cloud Rendering Lab), and the Max-Planck-Center for Visual Computing. Education 11/2020: Habilitation in Practical Computer Science at TU Graz 10/2013: PhD in Computer Science (Dynamic Resource Scheduling on Graphics Processors) 10/2010: MSc in Telematics 10/2005: BSc in Telematics Research Interests Steinberger’s work centers on optimizing GPU computing for real-time rendering and parallel processing. He explores efficient resource scheduling, dynamic graph management, and high-performance visualization techniques, with applications in cloud rendering, scientific visualization, and interactive graphics. His methods emphasize scalability and real-world applicability in both academic and industrial settings. Awards Heinz Zemanek Prize (2016) – First Austrian recipient GI Dissertation Prize (2014) – Best dissertation in German-speaking computer science Multiple Eurographics Best Paper Awards (2021, 2020, 2014) HPEC Best Student Paper (2017) ACM CHI Honorable Mention (2014) Advising & Grants Steinberger has advised numerous students and led projects funded by EU initiatives and industry partnerships. His research has been recognized through grants supporting GPU scheduling, cloud rendering, and parallel computing. Labs & Teams Leads the GPU Computing and Visualization Group at TU Graz and directed the Cloud Rendering Lab at Huawei, focusing on scalable rendering solutions for distributed systems.

• Formal Methods
• Model-Driven Engineering
• SAT/QBF Solving
• +4 more

Martina Seidl is a researcher and principle investigator at TU Wien's Institut für Softwaretechnik und Interaktive Systeme (E188). Her main affiliation is within the Faculty of Informatics. She leads the FAME Project (Formalizing and Managing Evolution in Model-Driven Engineering), focusing on advancing formal methods in software engineering. Her research interests include formal verification techniques, SAT/QBF solving algorithms, model-driven engineering, and automated reasoning. She has contributed to advancements in quantified Boolean formula (QBF) solving, parallel computing methodologies for logical problems, and formal methods in software model analysis. Her work spans theoretical computer science and practical applications in automated theorem proving and model checking. Notable contributions include expansion-based QBF solving approaches, parallel solving frameworks, and feature-based classifications of formal verification techniques. Seidl co-organized the QBF Gallery initiative, which curates benchmark suites for quantified Boolean formula competitions. She has also published extensively on clause redundancy optimization, blocked clause analysis, and the integration of formal methods in educational contexts like UML@Classroom.

• Artificial Intelligence
• Scheduling Algorithms
• Metaheuristics
• +4 more

Prof. Nysret Musliu is an Associate Professor at TU Wien's Department of Databases and Artificial Intelligence within the Faculty of Informatics. His primary affiliation is with the E192-02 research area, focusing on optimization, scheduling, and AI applications. He leads projects like 'Artificial Intelligence in Employee Scheduling' and 'Predictive Analytics for Emergency Call Infrastructure,' demonstrating expertise in combinatorial optimization and real-world problem-solving. Academic Rank: Associate Professor Institution: TU Wien Key Projects: AI-driven scheduling, constraint programming, metaheuristics Research interests include scheduling algorithms, constraint programming, and hybrid optimization methods. His work bridges theoretical advancements with industrial applications, addressing challenges in manufacturing, healthcare, and transportation. Recent publications emphasize hyper-heuristics, large neighborhood search, and AI integration for complex scheduling problems. Notable contributions include systematizing test laboratory scheduling and developing exact methods for oven scheduling. His research group collaborates on projects involving personnel scheduling, production leveling, and parallel machine optimization.

Haisen ZhaoView profile

Professor

• Computer Graphics
• Digital Fabrication
• Additive Manufacturing
• +5 more

Haisen Zhao is a Professor at Shandong University (SDU), affiliated with the School of Computer Science and Technology and the Interdisciplinary Research Center. His research focuses on geometric processing and digital fabrication, including additive and subtractive manufacturing. He completed his PhD at SDU in 2018 under Baoquan Chen, followed by postdoctoral research at the University of Washington (with Adriana Schulz) and IST Austria (with Bernd Bickel). He has authored over 20 top-tier publications in venues like ACM SIGGRAPH/Asia and IEEE TVCG, and holds multiple patents. Education: PhD in Computer Science (2018, SDU), Master’s (2014, SDU), and Bachelor’s (2011, SDU). Key awards include the CCF Doctoral Dissertation Award (2019) and Shandong Natural Science Award (2020). He leads a research group focused on advanced manufacturing techniques, advising PhD and Master’s students in areas like robotics, computer-aided design, and fabrication optimization. Teaching responsibilities include courses on computer graphics, human-computer interaction, and advanced topics for both undergraduates and graduates. His lab actively explores hybrid manufacturing strategies, inverse design methods, and robotic fabrication systems. Recent projects include neural accessibility learning for CNC machining and generative design for microstructure fabrication.

• Number Theory
• Combinatorics
• Discrete Mathematics
• +3 more

Peter Kirschenhofer holds the Chair of Mathematics, Statistics and Geometry at the Graz University of Technology, within the Faculty of Mathematics, Physics and Geodesy. His research focuses on number theory, combinatorics, discrete mathematics, and polynomial analysis with applications to data structures. He has published 15 research outputs between 2005 and 2019, including peer-reviewed articles in journals like Monatshefte für Mathematik and INTEGERS . His work often explores distribution results of polynomials, Catalan sequences, and theoretical mathematical frameworks. Kirschenhofer has actively participated in academic events such as the 'Numeration and Substitution 2012' conference and the 'Seminar des steirischen Doktoratskollegs'. He contributed to academic recognition efforts, including a laudatio for Wilfried Imrich and an obituary for Gerd Baron. His research aligns with the university's focus on discrete mathematics and theoretical computer science.

• Wildlife Management
• Wildlife Ecology
• Wildlife Physiology
• +4 more

Paul Griesberger is a Senior Researcher at the Institute of Wildlife Biology and Game Management under the University of Natural Resources and Life Sciences, Vienna , where he has contributed to both basic and applied research since 2017. He completed his Master’s in Wildlife Ecology and Wildlife Management (2014–2017) and Bachelor’s in Biology (Zoology) (2010–2014). Key research areas: Wildlife Management, Wildlife Ecology, Wild Ungulates, Spatio-Temporal Modeling, GPS Telemetry His recent work integrates decision-support tools for sustainable ungulate management, mathematical approaches like Benford’s Law for telemetry data validation, and climate adaptation strategies for forest protection. Collaborations span EU institutions and national parks. His 14 publications (2018–2025) focus on wild ungulate behavior, interspecies competition, telemetry analytics, and canid morphology, with methodologies bridging ecology, statistics, and conservation policy. He has advised 4 Master’s students and contributed to practical guidelines for red deer and chamois management. Scientific awards: Granser-United Global Academy Forschungspreis für eine Nachhaltige Jagd (2022) YO Research Award by CIC (2020) Nationalpark Hohe Tauern stipend (2021)

Thomas HoferView profile

Associate Professor

• Theoretical Chemistry
• Computational Chemistry
• Materials Science
• +4 more

Thomas Hofer is an Associate Professor in the Department of General, Inorganic and Theoretical Chemistry at the University of Innsbruck, affiliated with the Faculty of Chemistry and Pharmacy. He leads the Hofer Lab, focusing on theoretical and computational chemistry, materials science, and molecular dynamics simulations. His academic journey includes a Habilitation in Theoretical and Computational Chemistry (2011), a Doctorate (2006), and earlier roles as an Assistant Professor (2008-2011) and Erwin Schrödinger Fellow (2008-2010). Research Interests: Hofer specializes in quantum mechanical methods, molecular dynamics, and computational modeling of materials, with applications in energy storage, catalysis, and environmental chemistry. His work bridges theoretical approaches with experimental validation, addressing challenges in nanostructured materials and reactive systems. Awards: He has received prestigious honors such as the Young Scientist Excellence Award (2006), Georg und Christine Sosnovsky Award (2007), and IUPAC Award (2012). His teaching spans advanced courses in simulation methods, computer-based materials science, and data-driven discovery for PhD students. Labs/Teams: The Hofer Lab collaborates with other groups (e.g., Liedl Lab) and contributes to facilities like the Center for Chemistry and Biomedicine. His research impacts areas like battery materials, environmental pollutant interactions, and renewable energy systems.

Wolfgang DürView profile

Professor

• Quantum Information Theory
• Quantum Computing
• Quantum Cryptography
• +4 more

Univ.-Prof. Wolfgang Dür is a Professor and Head of the Department at the Institute of Theoretical Physics, University of Innsbruck. His research focuses on quantum communication, quantum networks, and quantum education. He leads the Quantum Communication and Quantum Networks research group, developing noise-resilient quantum protocols, scalable quantum repeaters, and quantum sensor networks. He has pioneered educational approaches integrating quantum information theory into school curricula, including games like 'Entangle Me!' and 'Encrypt Me!' to teach quantum principles. Collaborations include the RECC Physics West consortium to enhance teacher training and competency-based learning in secondary schools. Key projects include optimizing quantum resource states for networks, analyzing quantum metrology under noise, and exploring macroscopic quantum states' fragility. He has advised numerous students on topics ranging from quantum cryptography to quantum entanglement pedagogy. His work bridges foundational quantum theory with practical applications, emphasizing scalable architectures and educational innovation.

Oliver CzoskeView profile

Researcher

• Astrophysics
• Extragalactic Astronomy
• Galaxy Clusters
• +4 more

Oliver Czoske is a Researcher affiliated with the Department of Astrophysics within the Faculty of Earth Sciences, Geography and Astronomy . His work focuses on instrumentation development for large telescopes , particularly the Extremely Large Telescope (ELT), and observational astrophysics involving galaxy clusters and dark matter. He leads projects like the METIS integral field spectrograph and the MICADO first light imager , contributing to data reduction pipelines and simulation frameworks such as ScopeSim and SimCADO . His research integrates adaptive optics , mid-infrared astronomy , and telescope instrumentation , with a strong emphasis on preparing for the scientific capabilities of next-generation telescopes. Collaborations include the CLASH and SLACS surveys, analyzing gravitational lensing phenomena and galaxy mass profiles. Recent activities (2024) include talks at public outreach events like Führung Sternwarte . Publications span instrumentation design, data analysis techniques, and observational cosmology, with over 30 peer-reviewed articles since 2010. He is actively involved in XMM-Newton and Hubble Space Telescope projects, addressing topics like dark matter distribution and galaxy cluster dynamics.

• Machine Learning
• Optimization Algorithms
• Wireless Communication
• +3 more

Yurii Malitskyi is an Assistant Professor at the Faculty of Mathematics , University of Vienna , affiliated with the Department of Mathematics . His research focuses on optimization algorithms, machine learning, and wireless communication systems.

• Energy Engineering
• Process Engineering
• Sustainable Energy Systems
• +6 more

Tobias Pröll is a Professor at the Institute of Process and Energy Engineering within the Department of Biotechnology and Food Sciences at the University of Natural Resources and Life Sciences, Vienna (BOKU). He specializes in energy technology, process engineering, and sustainable energy systems, with a focus on carbon capture, biomass utilization, and building energy efficiency. His work bridges industrial process optimization and climate change mitigation strategies. Education: Dipl.-Ing. in Process Engineering (1995–2001), Dr. techn. in Mechanical Engineering (2001–2004), Habilitation in Energy Process Engineering (2012) His research explores fluidized bed reactors , negative emission technologies , and smart building control systems . Recent projects include optimizing hybrid electricity storage for renewable integration and developing low-tech predictive algorithms for heat pumps. Publications emphasize CO2 capture efficiency , dual fluidized bed gasification , and urban climate resilience . He leads initiatives for net-zero energy systems and biomass valorization . Key trends in his 15 most recent articles (2023–2025) highlight advancements in chemical looping combustion , forecast-based building control , and cost-effective carbon capture . These works span disciplines like chemical engineering , renewable energy , and urban environmental science . Pröll contributes to community projects and media discussions on climate policies, including consumer-level carbon taxes and carbon-neutral technologies. His affiliations include collaborations with institutions in Austria and international conferences on sustainable energy.

Christina FuchsView profile

Researcher

• Organizational Behavior
• Human-Technology Interaction
• Remote Work
• +3 more

Christina Fuchs is a postdoctoral researcher at the University of Salzburg , specializing in Business Administration with a focus on organizational behavior, digital communication, and hybrid work models. Academic Rank: Researcher Key Research Areas: Remote work effects, HR practices, digital workplace design, AI in human resources management, relational coordination, and organizational structure adaptation. Research Trends: Her recent work explores how hybrid work models reshape organizational structures and communication dynamics, emphasizing human-technology interaction. Articles from 2020–2023 highlight her interest in digitalization's psychological and structural impacts, including algorithmic HRM evaluation and employee voice behavior. Scientific Recognition: She received the 2. Platz Young Investigators Award at the University of Salzburg in 2022. Her activities include peer reviews, guest lectures, and organizing events on AI ethics and HR practices.

• Prosthesis Engineering
• Orthosis
• Additive Manufacturing
• +5 more

Sophie Bauernfeind is a researcher at the University of Applied Sciences Hagenberg, affiliated with the Research Center Hagenberg and AIST Center of Excellence Medical Engineering/TIMed Center. Her work bridges information and communications technology with medical engineering, focusing on orthopedic solutions through digital innovation. Her research interests center on prosthetic and orthotic engineering , leveraging additive manufacturing and adaptive modeling to create patient-specific medical devices. She specializes in applying automated processes to orthopedic aids, with particular emphasis on shoe insoles and foot biomechanics , integrating clinical knowledge with digital workflows for enhanced patient outcomes. Recent publications reveal a strong trend toward AI-driven orthopedic solutions , with 80% of her 2023-2025 work focusing on digital customization of orthotic devices. Key themes include patient-specific 3D printing applications (Industry 4.0), clinical knowledge extraction from medical records, and AI-powered diagnostic systems for orthopedics, reflecting a strategic shift toward data-driven medical device development. As Co-Investigator for the MOVE project (Modeling Orthoses for Vitality Enhancement, 2023-2024), she contributed to research advancing orthosis customization through additive manufacturing. Her collaborations span clinical partners and engineering teams, focusing on translating research into practical orthopedic solutions. She actively participates in conferences like ICECCME 2023, demonstrating engagement with the international biomedical engineering community. Her laboratory work centers on the AIST Center of Excellence Medical Engineering/TIMed Center, where she utilizes advanced prototyping facilities for orthopedic device development. Current activities involve integrating clinical data systems with manufacturing pipelines to streamline production of personalized orthotics, with future work likely expanding into real-time biomechanical monitoring systems.

Kathryn LilleyView profile

Professor

• Spatial biology
• Quantitative proteomics
• Subcellular biology
• +7 more

Kathryn Lilley is a Professor in the Department of Biochemistry at the University of Cambridge, where she has held academic positions since 2004. She is Director of the Cambridge Centre for Proteomics and a Fellow of Jesus College, Cambridge. She also serves as a Member of the Milner Therapeutics Institute and previously led the Mass Spectrometry theme at the Rosalind Franklin Institute. Her research focuses on developing innovative technologies for spatial proteomics and transcriptomics, with particular emphasis on understanding the dynamic organization of proteins and RNA within cells. Her group creates robust open-source informatics pipelines that enable end-to-end analysis of proteomic data, making their methods widely accessible to the research community. Recent work has expanded into investigating the subcellular spatial transcriptome and its interactions with the proteome, generating significant interest in RNA biology. Lilley's publications reveal a strong focus on advancing spatial proteomics methodologies, with recent work emphasizing computational approaches, neural networks for data analysis, and novel techniques for studying RNA-protein interactions. Her research bridges biochemistry, computational biology, and cell biology, with applications in understanding cellular perturbation responses and disease mechanisms. 2020 Elected as a member of EMBO 2018 Human Proteomics Organisation, Distinguished Achievement in Proteomic Sciences Award 2017 European Proteomics Association Juan Pablo Albar Proteomics Pioneer award 2012 Fellow of the Royal Society of Biologists Lilley receives considerable funding from the Pharmaceutical Industry and collaborates widely both nationally and internationally. She heads a large research group that develops technologies for interrogating spatial distributions of the proteome and its reorganization upon cellular perturbation. Her work is highly regarded in the field, as evidenced by numerous plenary and keynote invitations at international conferences.