David Philip Kreil is an Associate Professor at the Institute of Molecular Biotechnology within the Department of Biotechnology and Food Science at the University of Natural Resources and Life Sciences, Vienna (BOKU) . He holds a joint appointment as Chair of Bioinformatics at the University of Warwick (2012-2014) and has held research positions at the European Bioinformatics Institute (EBI) and the University of Cambridge . His work bridges computational biology, transcriptomics, and plant-nematode interactions. 2012-2014: Chair of Bioinformatics, University of Warwick 2005: WWTF Vienna Science Chair at BOKU 2001-2004: MRC Research Fellow, University of Cambridge 1997-2001: EMBL PhD Programme, EBI Kreil's research focuses on transcriptomic analysis of plant-pathogen interactions (e.g., Fusarium resistance in wheat, nematode-induced syncytia) and computational methods for microarray calibration, data normalization, and statistical modeling. He has applied machine learning to weather forecasting and biomedical data. Scientific Awards : Research Fellow, Darwin College, University of Cambridge (2002-2005) His 15 most recent articles emphasize bioinformatics tools, plant immunity, and interdisciplinary applications of machine learning in biology and climate science. He has supervised theses on wheat transcriptomics and nematode-induced gene expression.
Dr. Johannes Ludwig Frieß is a Researcher at the Institute of Safety and Risk Sciences within the Department of Landscape, Water and Infrastructure at the University of Natural Resources and Life Sciences, Vienna (BOKU). He has held postdoctoral research positions at several institutions including the University of Hamburg, University of Vechta, and University of Bremen, with his current position at BOKU dating from 2018 to present. His educational background includes a Doctorate from Aschaffenburg University of Applied Sciences in cooperation with Technische Universität Darmstadt (2011-2015) on the topic "Influence of ionizing radiation on the electrophysiology of cardiac cells," and a Biology Diploma from Technische Universität Darmstadt (2004-2011) with specializations in Cell- and developmental biology, genetics and microbiology. Frieß specializes in biosecurity and biosafety with a particular focus on bioweapons, Novel Invasive Environmental Biotechnologies (NIEB), and gene drives. His work bridges molecular biology, population modeling, and technology assessment to address the regulatory challenges posed by emerging biotechnologies. He has developed expertise in modeling gene drives and their ecological consequences, particularly in agricultural contexts like oilseed rape. His research emphasizes the dual-use potential of biotechnologies and the need for comprehensive risk assessment frameworks that go beyond traditional GMO evaluation. His publication record shows a clear trajectory toward increasingly sophisticated analysis of gene drive systems, moving from basic modeling concepts to comprehensive technology characterization and risk assessment frameworks. His work consistently addresses the intersection of biotechnology, environmental impact, and security concerns, with a growing emphasis on policy implications and regulatory needs. Dr. Frieß currently serves as Project Leader for the EU-funded research project "Biotechnology and AI: Biosecurity and Bioweapon Proliferation Risks in Research" (2025), and has been involved as Project Staff in several other significant projects related to synthetic bioweapons, GMO risk assessment, and gene drive technology. He has supervised at least one Master's thesis on computational modeling of gene drives in Drosophila suzukii.
Dr. Christoph Kogler MSc. BSc. is a postdoctoral researcher and lecturer at the University of Natural Resources and Life Sciences, Vienna (BOKU) and the University of Applied Sciences Campus Wien. He is affiliated with the Department of Economics and Social Sciences and the Institute of Production, Economics and Logistics, where his work focuses on logistics, supply chain and risk management, business analytics, industrial engineering, and sustainability in the bioeconomy, particularly the forestry and timber sectors. He is actively pursuing his habilitation and is recognized for his innovative teaching and research. His research interests center on sustainability research, supply chain management, risk management, agent-based and discrete event simulation, serious game-based learning, logistics, business process modeling, and transport in industrial engineering. He applies interdisciplinary methods from economics, social sciences, and computer science to promote a fair transition toward a sustainable bioeconomy. His teaching innovations have earned him nominations for the Austrian State Prize for Teaching (Ars Docendi) in 2022 and 2023, and his courses are featured in the national Atlas of Good Teaching. The recent publications and projects reflect a strong trend in using simulation technologies to enhance the sustainability, resilience, and efficiency of wood supply chains. His work emphasizes decision support systems, risk analysis, contingency planning, and educational applications of simulation in forestry logistics. He leads and contributes to multiple projects funded by FFG, the Austrian government, and Erasmus+, with a focus on digital transformation and e-learning in higher education. Fellow of the Freiburg Rising Stars Academy Fellow of the Austrian Marshall Plan Foundation Fellow of ACM/SIGSIM Nominated for Ars Docendi State Teaching Prize (2022, 2023) Recipient of Dissertation, Teaching, and Paper Awards Best Thesis Award, Karl-Franzens-University Graz (2016) Kogler advises master’s students in logistics and supply chain topics and has led numerous workshops and international symposia. He is deeply involved in academic service, serving as a reviewer for over 30 journals, editorial board member of Drewno , and active organizer and program committee member for major conferences such as the Winter Simulation Conference and International Wood Supply Game Competition. His research stays at UC Berkeley, Brno University of Technology, and the University of Freiburg highlight his international collaboration and academic leadership. He leads the project 'Serious Game-basierte and Agenten-basierte Modellierungskompetenzen für die Holzwertschöpfungskette' and contributes to several others focused on sustainable wood transport and resilient supply chain management. His work integrates serious games and simulation to train future leaders in sustainable enterprise management. He is a key figure in advancing simulation-based learning and digital transformation in academic and industrial forestry contexts.
Jesús Crespo Cuaresma is a Professor of Macroeconomics at the Department of Economics of WU Vienna University of Economics and Business . He also serves as the Head of the Department of Economics and leads the Competence Center for Empirical Research Methods and the Competence Center for Sustainability Transformation and Responsibility . His research focuses on applied econometrics , macroeconomics , and economic growth and development , with significant contributions to climate policy evaluation, human capital dynamics, and international economic interdependencies. He has published extensively, with over 260 peer-reviewed articles and chapters, including work on structural breaks in greenhouse gas emissions, fiscal multipliers, and climate change adaptation. His research has been supported by grants from institutions like the European Union and the World Bank. Crespo Cuaresma has also contributed to policy reports, such as analyses on the economic impact of the COVID-19 pandemic in Austria and studies on global hunger and sustainable development. His academic leadership includes roles in the Research Institute for Cryptoeconomics and collaboration with the International Institute for Applied Systems Analysis (IIASA). He holds an ORCID identifier and maintains an active Research Database (PURE) profile.
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.
**Dominik Bork** is an Assistant Professor at the Department of Business Informatics within the Faculty of Informatics at TU Wien. His core research focuses on conceptual modeling, model-driven engineering, and the integration of artificial intelligence into enterprise systems. He leads projects such as the Network Lab and has coordinated initiatives like the Automatisiertes End-to-End-Testen von Cloud-basierten Modellierungswerkzeugen and MFP 4.2 Advanced Analytics for Smart Manufacturing . His work emphasizes GLSP-based web modeling tools , including the development of open-source platforms like BIGUML for UML modeling. He has published extensively on topics like knowledge graph transformation, accessibility in modeling tools, and AI-enhanced decision management. Bork actively contributes to academic communities through conference organizing roles and guest editorial work for journals like Enterprise, Business-Process and Information Systems Modeling . His research bridges theoretical advancements with practical applications in enterprise architecture and sustainable systems engineering. Education & Background : Holds titles including Dipl.-Wirtsch.Inf.Univ. and Dr.rer.pol., reflecting his interdisciplinary expertise in business informatics and economics. Key Contributions : - Developed CM2KGcloud , a web-based platform for conceptual model-to-knowledge graph transformation. - Pioneered EA ModelSet , a FAIR dataset advancing machine learning in enterprise modeling. - Authored influential papers on inclusive conceptual modeling for disability-aware tools. - Led efforts in model-based construction of enterprise architecture knowledge graphs . Grants/Projects : Automatisiertes End-to-End-Testen von Cloud-basierten Modellierungswerkzeugen (Principal Investigator) Digital Platform Enterprise (Principal Investigator) MFP 4.2 Advanced Analytics for Smart Manufacturing (Principal Investigator) Labs/Teams : Active in the Network Lab at TU Wien, focusing on cutting-edge research in modeling technologies and AI integration.
Ao.Univ.Prof. Margrit Gelautz is an Associate Professor at TU Wien's Computer Vision research department (E193-01), affiliated with the Institute for Software Technology and Interactive Systems (E188). Her work focuses on computer vision applications in autonomous driving, robotics, and 3D reconstruction. She leads projects on driver monitoring systems, vulnerable road user detection, and human-robot interaction. Recent research includes 3D bounding box prediction, synthetic data-driven pose estimation, and real-time sensor systems. She advises over 20 graduate students and collaborates on automotive platforms integrating vision-based safety systems. Her contributions span sensor fusion, stereo matching algorithms, and interactive video tools. Key projects include multimodal sensor-lighting systems for traffic safety, 3D scene completion, and intelligent workflow design for low-cost 3D film production. Her work emphasizes practical applications like in-cabin monitoring systems and adaptive lighting control. She develops semi-automatic annotation tools for traffic datasets and explores nonverbal communication in human-robot interaction using platforms like Pepper humanoid robots.
Andreas Holzinger is affiliated with TU Wien's E192 - Institut für Logic and Computation. His research focuses on AI ethics, controllable AI systems, and applications in cardiology. He collaborates on projects addressing AI risks and medical diagnostics. Recent work includes advancements in ECG-based cardiac condition detection and proposing frameworks for managing complexity in AI systems. Active in interdisciplinary projects combining computer science with healthcare.
Sébastien Couillard-Després is a Professor and Head of the University Institute for Experimental Neuroregeneration at Paracelsus Medical Private University, Salzburg. His research focuses on neuroregeneration, neuroinflammation, and translational therapies for neurological disorders, particularly spinal cord injury and traumatic brain injury. He combines stem cell biology, nanomaterials, and computational approaches to develop novel treatments. Key areas of expertise include: Stem cell-based therapies for nervous system repair Molecular mechanisms of neuroprotection Biomaterials for tissue engineering AI-driven predictive modeling in oncology and osteoporosis He has led over 20 projects and published 239+ peer-reviewed articles. Recent work emphasizes combinatorial neuroprotection strategies and integrating radiomics with clinical data for fracture risk prediction. Active in academic leadership, he serves on the university senate and organizes international workshops.
Neda Ghiassi is an affiliated researcher at TU Wien's E259 - Institut für Architekturwissenschaften , focusing on urban energy modeling and computational frameworks. Her work integrates Geographic Information Systems (GIS), data analysis, and interdisciplinary approaches to address urban energy challenges. Key projects include MOTIVE (vacuum glass integration in construction) and EMULATE (urban energy assessment tools). She has published extensively on topics like high-resolution energy modeling, building product data handling, and cluster analysis for urban systems. Her research emphasizes sustainable urban development through innovative computational methods, bridging technical, social, and policy dimensions. She collaborates on projects funded by Research Studios Austria and contributes to teaching via research-guided courses. Notable outputs include a doctoral thesis on an hourglass model for urban energy systems and reports detailing project advancements in energy efficiency and building technology. Her expertise spans technical documentation, multi-stakeholder data collaboration, and scenario-based modeling. Current work explores human-centric energy modeling (MAIN_STREAM) and semantic web approaches for building product data. No awards are explicitly listed, but her contributions reflect significant engagement in academic and applied research.
Alexey Ignatiev is an Associate Professor in the Optimisation research group at Monash University's Faculty of Information Technology. Previously, he was a postdoctoral researcher and researcher at the University of Lisbon's Faculty of Sciences, focusing on SAT/SMT-based decision procedures. He holds a Ph.D. from the Matrosov Institute for System Dynamics and Control Theory (Russian Academy of Sciences), where his thesis explored parallel CDCL-BDD integration. His research emphasizes formal methods in AI, including explainable AI (XAI), SAT-based reasoning, and optimization for applications like software upgradability, model-based diagnosis, and fault localization. His work spans over 100 publications, with notable contributions to MaxSAT solving (RC2 solver), neuro-symbolic frameworks (NEUSIS), and rigorous explanations for machine learning models. He has collaborated extensively with institutions like the University of Lisbon and Monash University, contributing to advancements in formal verification and interpretable machine learning.
Christian Reinhard Mayr is an Associate Professor and Privatdozent at the University of Salzburg, affiliated with the University Institute of Physiology and Pathophysiology and the Salzburg University Clinic for Internal Medicine 1. His research focuses on molecular mechanisms of biliary tract cancers, ferroptosis modulation, and drug development for gastrointestinal malignancies. He holds dual Master's degrees in Genetics and TREAT (Translational Research), and a Doctorate in Natural Sciences (Dr.rer.nat.). Education: Doctorate in Genetics, University of Salzburg (2015) Master's in Genetics, University of Salzburg (2012) Additional MSc in TREAT (Translational Research) Research interests include: Ferroptosis as therapeutic target in chondrocytes and cancer cells Development of drug conjugates for biliary tract cancers Preclinical models for cholangiocarcinoma drug screening Epigenetic therapy resistance mechanisms in lymphomas Biomarker discovery using multi-omics approaches His publications highlight contributions to cannabinoid-based ferroptosis modulation, drug conjugate pharmacology, and HDAC inhibitor mechanisms. Recent projects include investigating EZH1 as a therapeutic target and evaluating ouabain's anticancer potential. He has supervised multiple theses including studies on novel biliary tract cancer therapies, cardiovascular effects of aspirin, and psychocardiology. Active in teaching, he contributes to human medicine courses on respiratory systems and ECG analysis. Notable awards include the Christian Doppler Prize (2019) and scholarships from the Salzburg Science Foundation during his doctoral and master's studies.
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.
Patrick Brandtner is a Professor at FH Steyr (University of Applied Sciences Upper Austria), affiliated with the Research Center Steyr's Center of Excellence Logistics and DBx - Digital Business Institute. His work focuses on Supply Chain Management, Data Analytics, and Retail Innovation. He leads multiple research projects including 'Taking an Active Approach to AI Capability Maturity Engineering' (2024-2029) and 'LOG-Logistikum.Retail 2.0' (2023-2026). He has received notable awards such as the 'Forscher des Jahres' (2022) and 'Best Paper Award ICE-B' (2012). His research spans AI applications in supply chains, blockchain, and retail technology. He actively reviews for journals like Designs, International Journal of Information Technology and Decision Making, and Urban Rail Transit. Key projects include predictive value network intelligence and retail digital transformation. He collaborates internationally and has published widely on topics like AI adoption, resource optimization, and pandemic impacts on businesses.
Thomas Michael Fischer is a Researcher at FH Steyr, affiliated with the LOGISTIKUM and Research Center Steyr. His work focuses on Technostress, NeuroIS, Digital Stress, and Artificial Intelligence in Supply Chain Management. He leads and collaborates on projects such as 'Taking an Active Approach to AI Capability Maturity Engineering' and 'LOG-Logistikum.Retail 2.0', addressing digital transformation and resilience in logistics. His research includes developing assessment tools like the Digital Stressors Scale (DSS) and exploring cybersecurity in supply chains. Fischer has published widely on topics ranging from AI capabilities in Austrian supply chains to the impact of digital badges on education. He holds a doctoral degree and is actively involved in academic conferences and peer-review activities. Key collaborations include projects with industry partners and international teams, addressing challenges in cyber risks, supply chain resilience, and retail logistics. His contributions span over 40 publications, with a strong focus on applying digital technologies to solve real-world logistical and organizational issues.
