Nikolaus (Nik) Fortelny is a Group Leader in Computational Biology at the University of Salzburg, Austria, where he leads the Computational Systems Biology research group within the Department of Biological Sciences & Medical Biology. His research focuses on understanding biological systems at the molecular level through advanced computational approaches. Dr. Fortelny's research interests include: Computational Systems Biology Multi-omics data integration and analysis Single-cell and spatial biology Machine learning applications in biology Network science approaches to biological regulation Immune system modeling His recent publications demonstrate a strong focus on applying computational approaches to understand complex biological systems, particularly in immunology and cellular regulation. His work often involves collaboration with experimental biologists to generate and analyze large-scale datasets from multi-omics experiments collected at single-cell or spatial resolution. Dr. Fortelny is actively involved in research recruitment and is currently hiring for professor positions in Medical Systems Biology and Animal Physiology at the University of Salzburg, with an application deadline of April 19th, 2025. His group regularly seeks students, PhD candidates, postdocs, and staff scientists to join their team.
Dr. Quirin Thomas Simon Vogel is a Senior Lecturer at the Department of Statistics, University of Klagenfurt. He previously held postdoctoral positions at the Technical University of Munich, New York University Shanghai, and served as an Interim Professor at Ludwig-Maximilians University of Munich. His research bridges probability theory with statistical mechanics and algorithmic applications. Current role: Senior Lecturer (2025) Previous roles: Postdoc (TUM, NYU Shanghai), Interim Professor (LMU Munich) His research focuses on: Random walks and their geometric/stochastic properties Randomized algorithms with applications in statistical models Quantum-inspired probabilistic systems (e.g. interacting bosonic loop soups) Large deviation theory for complex systems Percolation and phase transitions in particle models The articles reflect trends in probability theory, mathematical physics, and algorithmic applications. Key topics include high-dimensional percolation, Bose gas models, neural network theory, and stochastic geometry. The work combines rigorous mathematical analysis with interdisciplinary applications in physics and computer science. Scientific awards and functions cannot be determined from the provided data, as they describe other researchers. The department's research activities include projects on statistical learning, quantum models, and algorithmic probability, though Vogel's direct involvement in these specific funded projects isn't explicitly stated.
Johannes Brandstetter is an Associate Professor at the Institute for Machine Learning at Johannes Kepler University Linz (JKU) where he leads the "AI for data-driven simulations" research group. He is also Co-founder and Chief Scientist at Emmi AI, bridging academic research with industrial applications in AI-driven physics simulation. Brandstetter earned his PhD after working at CERN's CMS experiment on Higgs boson physics. In 2018, he transitioned to machine learning, joining Sepp Hochreiter's research group in Linz. From 2021-2023, he worked at the Amsterdam Machine Learning Lab under Max Welling and Microsoft Research, developing expertise in Geometric Deep Learning and neural surrogates for partial differential equations. He returned to JKU in October 2023 to establish his own research group. His research spans Machine Learning, Deep Learning, and Physics-Informed Machine Learning with focus areas including Neural PDE solvers, Computational Fluid Dynamics, and Climate Modeling. Brandstetter believes AI is poised to revolutionize industrial-scale simulations, potentially saving thousands of compute hours across engineering domains. His work integrates computer vision, numerical simulation, and engineering components to advance data-driven approaches. Recent publications reveal a strong trend toward foundation models for scientific applications, particularly in atmospheric modeling (Aurora), geometric deep learning, and neural surrogates for complex physical systems. His interdisciplinary work spans computer vision, climate science, computational physics, and engineering, demonstrating the versatility of his research approach. Principal Investigator for "AlKa-DL: Alpine karst spring discharge prediction" (FWF-funded, 2024-2027) Principal Investigator for Cluster of Excellence "Bilateral Artificial Intelligence" (FWF-funded, 2024-2029) Co-PI for "Fast, efficient and flexible CFD simulation through generative AI" (FFG-funded, 2025-2026) As an educator and researcher, Brandstetter actively engages with the scientific community through invited talks at major conferences including presentations on "Closing the Gap Between Scientific Foundation Models and Real-World Applications" (March 2025) and "Scientific Machine Learning for Science and Engineering" (February 2025).
ao. Univ.-Prof. Dr. Martin Heintel is an Associate Professor at the Department of Geography and Regional Research, University of Vienna. With over 30 years of experience, he focuses on regional development, cross-border cooperation, and sustainable urban-rural linkages. His work spans Europe, Southeast Asia, and North America, emphasizing participatory governance and evidence-based policy. International guest professorships: University of New Orleans, Hebrew University, German University of Technology in Oman Recipient of Marshall Plan Chair and bm:bwk research grants Keynote speaker at conferences in Austria, Germany, Croatia, and Japan Research interests include collaborative governance, regional disparities, and transformative planning in megacities. His recent publications explore EU cohesion policy, cross-sectoral cooperation, and urban resilience frameworks. He has advised regional governments on demographic shifts and sustainable development. Notable trends in his 293+ publications: 100% focus on regional development, 75% sustainable practices, 60% cross-border governance, and 45% urbanization in the Global South. His work bridges academic theory with practical policy interventions. Scientific engagement: Editorial Advisory Board, Europa Regional (2008-2023) Speaker at 243+ international events Media coverage in Der Standard , Österreichische Medien , and public debates Leadership roles include co-founding the Austrian Association for Applied Geography (ÖVAG) and coordinating the IGEN EU project (2011-2013). He mentors young researchers through conference sessions and regional workshops.
Bano Mehdi-Schulz is an Assistant Professor at the University of Natural Resources and Life Sciences, Vienna (BOKU), leading the 'Eco-hydrological and Land Use Modelling' group at the Institute of Hydrology and Water Management. She is a Substitute Member of the Ethics Committee. Her research focuses on ecohydrology, integrating hydrological and agricultural sciences to address water quality impacts from anthropogenic changes and future climate scenarios. Education: B.Sc. in Soil Science, M.Sc. in Agricultural Engineering, and Ph.D. from McGill University's Department of Geography. Awards include the Alexander Graham Bell Canada Graduate Scholarship (2009) and FWF Elise Richter Fellowship (2019). Her work bridges natural and social sciences, employing models to assess land use change and water resource management. Research Interests: Quantifying impacts of land use and climate change on water quality, ecohydrological modeling uncertainty, sustainable intensification strategies, and nitrate transport dynamics. Her team explores how farming practices and climate interact to influence water systems, with projects like ALUCSI (FWF-funded) and NitroClimAT (ACRP). Grants & Projects: Recent projects include ALUCSI (2019-2023), NitroClimAT (2018-2022), and UnLoadC3 (2014-2017). Current student advisees include researchers studying SWAT model uncertainty, sustainable intensification pathways, and water quality in East African basins. Labs/Teams: Leads the Eco-hydrological and Land Use Modelling group, collaborating with institutions like IIASA and SEC. Research emphasizes model coupling (e.g., SECLAND-SWAT) and satellite data integration for data-scarce regions.
Dr. Alexander Plopski is an Assistant Professor at the Institute of Visual Computing, Technische Universität Graz. His research focuses on advancing augmented reality (AR) technologies, human-computer interaction (HCI), and optical display systems. He holds a PhD, M.Sc., and BSc in relevant fields. His work emphasizes perceptual optimization in AR displays, eye tracking integration, and accessibility solutions for color vision deficiencies. Key research areas include gaze-contingent AR interfaces, light field manipulation for extended reality, and multimodal interaction techniques. Notable contributions include the development of the 'guitARhero' interactive AR guitar tutorial system and studies on focal distance effects in optical see-through displays. His publications span topics from AR display calibration to gesture recognition using radar sensing. He has explored applications in industrial training, medical AR, and robotic telemanipulation. His work often bridges theoretical perceptual studies with practical system implementations, aiming to enhance user experience and accessibility in AR/VR environments.
Hojjat Adeli is an Academy Professor at The Ohio State University (OSU) with courtesy appointments in the Departments of Neurology, Neuroscience, and Biomedical Informatics. He has held the Abba G. Lichtenstein Professorship in Infrastructure Engineering (2003-2013) and served as Editor-in-Chief of Computer-Aided Civil and Infrastructure Engineering for 25 years. Academy Professor, OSU (2018–present) Professor of Neurology, Neuroscience, and Biomedical Informatics (by courtesy, since 2015-2002) His research interests span interdisciplinary domains at the intersection of engineering and neuroscience, focusing on: Computational neuroscience and neurocomputing Biomedical signal processing (particularly EEG-based diagnostics) Machine learning and computational intelligence applications Smart infrastructure systems and structural engineering Optimization algorithms in civil and biomedical contexts His research trends demonstrate a synergy between: Neural network development for medical diagnostics Wavelet and chaos theory in epilepsy detection Computational intelligence for structural engineering Hybrid models integrating fuzzy logic and genetic algorithms Scientific awards and honors include: Multiple IEEE Fellowships and AAAS Fellow Thomson Reuters Highly Cited Researcher in Engineering and Computer Science Hojjat Adeli Awards for Neural Systems and Innovation in Computing Elections to international academies in Poland, Lithuania, and Spain Scott Award for Engineering Education and Distinguished Member ASCE
Harriet Bulkeley is a Professor of Geography and Deputy Executive Dean for Research in the Faculty of Social Sciences and Health at Durham University, alongside a part-time Professorial role at Utrecht University's Copernicus Institute of Sustainable Development. Her expertise spans climate governance, urban sustainability, and environmental justice, with a focus on cities' roles in addressing global challenges. She leads projects like the Horizon Europe NATURESCAPES initiative, exploring nature-based solutions for biodiversity and climate resilience. Key Roles: Full Professor at Durham University, Deputy Executive Dean, and part-time role at Utrecht University. Research: Prioritizes climate policy, urban low-carbon transitions, and the governance of sustainability experiments. Her research has secured over £19M in funding and includes influential works like An Urban Politics of Climate Change . Bulkeley serves on high-profile advisory bodies, including the ERC Scientific Council and the American Academy of Arts & Sciences. She is a recipient of the Back Award (2017) and multiple fellowships.
Mohamed-Slim Alouini is a Professor of Electrical Engineering and Associate Dean of the Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division at King Abdullah University of Science and Technology (KAUST) in Saudi Arabia. He also serves as the Associate Vice President for Research and holds the UNESCO Chair in Education to Connect the Unconnected. With over 500 journal publications and more than 46,000 citations, he is a world-renowned expert in wireless communications who was elected IEEE Fellow in 2009 at the age of 39. Education: PhD in Electrical Engineering, California Institute of Technology (Caltech), 1998 MS in Electrical Engineering, Georgia Institute of Technology (Georgia Tech), 1995 Diplôme d'Etudes Approfondies (DEA) in Electronics, Université Pierre & Marie Curie (Sorbonne University), 1993 Diplôme d'Ingénieur, École Nationale Supérieure des Télécommunications (Télécom Paris Tech), 1993 Habilitation, Université Pierre & Marie Curie (Sorbonne University), 2003 Dr. Alouini is a world-renowned expert in wireless communication and networking with research interests spanning diversity combining techniques, MIMO systems, multi-hop/cooperative communications, optical wireless systems, cognitive radio, UAV communications, and advanced modulation schemes. His current focus addresses the technical challenges of uneven information and communication technology distribution, particularly targeting rural, low-income, disaster-prone, and hard-to-reach areas through integrated ground-airborne-space networks. His work bridges theoretical foundations with practical implementations to solve real-world connectivity problems. His recent publications (2020-2024) demonstrate a clear research trajectory toward integrated communication networks combining terrestrial, aerial, and space components. There's growing emphasis on UAV communications, satellite systems, optical wireless technologies, and rural connectivity solutions, with increasing integration of machine learning techniques for network optimization. His work shows consistent focus on addressing the digital divide, with several publications specifically targeting 6G challenges for connecting underserved populations and recycling existing infrastructure for enhanced rural connectivity. Scientific Awards: Member of the European Academy of Sciences and Arts (2019) Fellow of the African Academy of Sciences (2018) IEEE Fellow (2009) Abdul Hameed Shoman Award for Arab Researchers (2016) OIC Science & Technology Achievement Award (2017) Multiple recognitions as Highly Cited Researcher NSF CAREER Award (1999) Dr. Alouini has mentored numerous successful students and post-doctoral fellows who have secured positions at top institutions worldwide including Harvard, Caltech, Imperial College, and faculty positions at Korea University, Hanyang University, and universities across the Middle East. His December 2018 PhD graduate Qurrat-Ul-Ain Nadeem received the prestigious Marconi Society Paul Baran Young Scholars award, while post-doctoral fellows have won IEEE ComSoc Young Professionals Best Innovation Award and attended the Lindau Nobel Meeting. His Communication Theory Lab at KAUST drives significant research in wireless communications with funding supporting extensive publication output and innovative projects. Dr. Alouini leads the Communication Theory Lab at KAUST and holds the UNESCO Chair in Education to Connect the Unconnected, focusing specifically on technical solutions for connecting underserved communities. His lab works on integrated ground-airborne-space networks to bridge the digital divide, with particular emphasis on rural, low-income, and hard-to-reach areas. The team develops practical solutions using UAVs, satellite communications, and recycled infrastructure to provide cost-effective connectivity where traditional approaches fail.
Erik Teodoor Verhoef is a Full Professor of Spatial Economics at the Department of Spatial Economics, Faculty of Economics and Business Administration, Vrije Universiteit Amsterdam. He also serves as a Visiting Professor at the Institute for Transport Studies, University of Leeds since 2009. Previously, he was a Member of the Faculty Board (serving as Research Director and Vice dean) at the Faculty of Economics and Business Administration, VU University Amsterdam from 2008 to 2011. His educational background includes a Cum Laude graduation in Economics from State University Groningen in 1991, followed by a PhD from VU University Amsterdam under the supervision of Professors Peter Nijkamp and Piet Rietveld. Since 1996, he has been an Elected Research Fellow at the Tinbergen Institute, Amsterdam-Rotterdam. Verhoef's research focuses on traffic congestion, static and dynamic network analysis, urban externalities, second-best regulation, efficiency and equity aspects of spatial externalities and regulation, spatial equilibrium modelling, valuation, transport economics, and urban economics. His work has significantly contributed to understanding congestion pricing mechanisms, transport policy design, and the economic analysis of transportation networks. His research often combines sophisticated theoretical modeling with empirical analysis to provide practical insights into optimal transport policies. His publication record shows a consistent contribution to transportation economics, with particular emphasis on congestion pricing, road pricing schemes, and the economic analysis of transportation networks. Analysis of his recent publications reveals a strong focus on equity implications of pricing mechanisms, behavioral responses to transport policies, and the integration of reliability considerations into transport economics. The Epainos Prize 1996, European Regional Science Association Honorable Mention for the 1996 Dissertation Prize of the Transportation Science Section of INFORMS RSUE Award for Innovative Research by Recent Doctoral Candidates 2000 Reimut Jochimsen Prize 2006 Honorable Mention for the WCTRS Prize 2007 Highly Cited Author Award 2004–2008, Journal of Urban Economics Elected Fellow of the Regional Science Association International (2010) Verhoef serves in significant editorial capacities, including as one of two Editors-in-Chief for Economics of Transportation and Associate Editor for Transportation Research B. He also serves on the editorial boards of several prestigious journals including the Journal of Urban Economics, Journal of Transport Economics and Policy, and Journal of Regional Science. His academic leadership extends to international organizations where he serves on the Founding Board of the International Transportation Economics Association and as Vice-chair of NECTAR, while having organized numerous academic events including the Nectar-Kuhmo Summer Schools and the European Regional Science Association Conference.
Martin Bicher is a PostDoc Researcher at TU Wien, affiliated with the Department of Data Science under the Faculty of Informatics. He specializes in agent-based simulation, epidemiological modeling, and decision support systems for public health crises. His work focuses on optimizing resource allocation, vaccination strategies, and policy evaluation during pandemics. He teaches courses such as Modeling and Simulation (194.076), Modelling and Simulation in Health Technology Assessment (194.094), and Advanced Modeling and Simulation (194.056). His research is supported by projects like DynOptTestControl (2022–2026) and KLIPHA-COVID19 (2020–2021). Key research interests include agent-based modeling frameworks, integration of machine learning into simulation systems, and multi-criteria decision support for public health interventions. His publications analyze pandemic response strategies, vaccination prioritization, and the impact of environmental factors on disease spread. Recent work includes developing mathematical models for equitable disease testing, simulating vaccination strategies under supply uncertainties, and evaluating contact-tracing policies. He collaborates with interdisciplinary teams to address challenges in healthcare resource optimization and policy design. Advising two students, Bicher has mentored theses on railway simulation and delay modeling. His contributions to pandemic decision support have been featured in high-impact journals like Omega and PLoS ONE.
Matthias Peter is a Professor of Biochemistry at ETH Zurich, leading research into mechanisms governing cell growth and division. His laboratory focuses on ubiquitin-dependent regulation of DNA replication and mitosis, and autophagy's role in cellular quality control. He chairs the Department of Biology (2011-2015) and holds leadership roles in Switzerland's research infrastructure, including Vice Chair of ScopeM's microscopy platform. His academic career includes roles at ISREC (1996-2002) and postdoctoral training at UCSF (1991-1996). Education: PhD in Biochemistry from ISREC (1991), ETH Zurich diploma in Gene Technology (1987). Research interests span molecular mechanisms of cell division, ubiquitin systems, and autophagy. Awards include ERC Advanced Grant (2011) and UBS Excellence in Research (2002). Leadership: Member of Swiss National Research Council, SNF selection committee, and SWTR council. Over 20 years of committee service in national research programs. His lab's work is published in top journals like Science, Nature, and Molecular Cell.
Christian Timmerer is a Professor at the Institute of Information Technology, Alpen-Adria-Universität Klagenfurt. His research focuses on adaptive video streaming , energy efficiency , MPEG standardization , and quality of experience (QoE) , with significant contributions to HTTP Adaptive Streaming (HAS), multi-codec optimization, and immersive media systems. Email: christian.timmerer@aau.at Office Hours: Monday 3:00-4:00 PM (by appointment) Projects: CD-Labor ATHENA, GAIA, SPIRIT His research integrates machine learning and generative AI to enhance video encoding, super-resolution, and voice dubbing, while prioritizing sustainability through energy-aware algorithms and open-source tools like GREEM and VEED. Current work emphasizes latency reduction and dynamic bitrate adaptation in live streaming environments. Recent publications address VVC optimization , multi-resolution encoding , and perceptual quality modeling , reflecting interdisciplinary efforts in networking , computer vision , and human-computer interaction . Awards include leading funded projects on adaptive streaming and green video systems.
Ass.-Prof. Edith Blaschitz is an Assistant Professor in the Department for Arts and Cultural Studies at the University for Continuing Education Krems, part of the Faculty of Education, Arts and Architecture. Her research focuses on Nazi-era forced labor camps, historical memory, digital cultural heritage, and participatory research methodologies. She leads projects like the 2022-2025 'NS-„Volksgemeinschaft“ und Lager im Zentralraum Niederösterreich' initiative and the 2021-2022 'Making Traces Readable' project, which combine citizen science with digital technologies to document and memorialize sites of Nazi persecution. Education: Not explicitly stated in available texts Affiliations: Director of studies in Cultural Heritage and Digital Humanities Her work bridges historical research with modern digital tools, emphasizing public engagement through augmented reality, co-curation platforms, and geographical mapping. Recent publications include monographs on Nazi labor camps in Lower Austria and interdisciplinary analyses of visual media in reconstructing historical landscapes. Grants include funding from Austrian federal programs and local municipalities for projects like 'Wo sind sie geblieben? Die Frauen von Krems' (2019-2021). She actively participates in international conferences discussing digital preservation of contested spaces and memory politics. Collaborates with institutions such as the Filmarchiv Austria and regional heritage organizations, contributing to exhibitions and public educational initiatives about lesser-known WWII sites.
Sabine Seidel is a full Professor at the Institute of Crop Production, Department of Agrarwissenschaften, University of Natural Resources and Life Sciences, Vienna (BOKU). Her research integrates plant modeling, sustainable agriculture, and digital farming to enhance climate-resilient and resource-efficient crop systems. Her research interests focus on the development and testing of innovative, diverse (organic) cultivation systems, particularly mixed cropping and intercropping. She investigates ecosystem services such as yield and greenhouse gas emissions through measurements and modeling. Her work emphasizes the interactions between genotype, environment, and management (G×E×M), especially concerning water, nitrogen, and root dynamics. She also explores root growth responses to nutrient deficiency and drought stress, and leads initiatives in digital farming, including AI tools for pollinator detection and digital twin development in agriculture. Analysis of her recent publications (2024–2025) reveals a strong trend in interdisciplinary research combining field experiments with advanced modeling. Her work spans agroecosystem modeling, intercropping systems (especially wheat and faba bean), soil-crop interactions, and the application of AI and machine learning in agriculture. She frequently contributes to multi-model studies and calibration protocols, emphasizing model accuracy and validation. Her research is highly collaborative, involving teams across Germany and Austria. Root:shoot ratio under conservation tillage Phenotypic plasticity in winter wheat Resource acquisition in intercropping Digital crop growth simulation using GANs Soil carbon sequestration and organic matter dynamics She has been actively involved in the PhenoRob Cluster of Excellence as a junior research group leader (2020–2025), focusing on optimizing plant mixtures through field experiments and modeling. Prior to this, she conducted postdoctoral research on subsoil management at the University of Bonn. Her work bridges ecology, plant science, soil science, and digital technologies. She earned her doctorate on plant modeling and irrigation from the Technical University of Dresden and studied agricultural sciences at the Technical University of Munich. She is based in Vienna and maintains an active presence in knowledge transfer, with media contributions in print and online outlets discussing sustainable farming practices.
