Find Academic Supervisors

• Software Engineering
• Model-Driven Engineering
• Cloud Computing
• +3 more

Dr. Philip Langer is a researcher at TU Wien's Institut für Information Systems Engineering, part of the Faculty of Informatics. His work focuses on model-driven engineering, semantic model differencing, and cloud-based software modernization. He contributed to frameworks like GLSP, ARTIST, and xMOF, emphasizing tool integration and collaboration in modeling environments. Research Areas: Model transformation, UML semantics, cloud migration, and search-based optimization Key Projects: ARTIST (cloud migration), GLSP (web modeling tools), xMOF (formal semantics) Publications highlight advancements in model differencing using execution traces, multi-objective model merging (MOMM), and semantic visualization techniques for web-based IDEs. His work bridges theoretical foundations with practical tool development, addressing challenges in collaborative modeling and legacy system modernization. Awards: No specific prizes mentioned, but recognized through prolific conference contributions and framework development. Grants/Advising: He collaborates extensively with peers like Tanja Mayerhofer and Manuel Wimmer, though specific grants or student advisement details are not explicitly stated. His research impacts both academic and industrial software engineering practices.

Johannes OetschView profile

Researcher

• Answer Set Programming
• Neural-Symbolic Computation
• Visual Question Answering
• +3 more

Johannes Oetsch is a researcher at TU Wien's Forschungsbereich Knowledge Based Systems within the Faculty of Informatics. His work focuses on Answer Set Programming (ASP) , neuro-symbolic computing , and visual question answering systems . He holds a Diplom-Ingenieur (Dipl.-Ing.) and a Doctor of Technical Sciences (Dr.techn.) in informatics. Key research areas include: Integration of large language models with symbolic reasoning frameworks Optimization techniques in ASP for scheduling problems Explainability mechanisms for neuro-symbolic systems Recent work emphasizes visual question answering using graph-based representations and contrastive explanation methods. He has contributed to the development of ALASPO , an adaptive optimization framework for ASP solvers. His research also explores applications in manufacturing scheduling and automated testing of logic programs. Notable contributions include: Neuro-symbolic pipelines combining ASP with vision-language models Lexicographical makespan optimization in parallel machine scheduling Large-neighbourhood search strategies for ASP-based optimization

Klaus AltendorferView profile

Professor

• Production System Engineering
• Production Planning
• Material Requirements Planning
• +3 more

Klaus Altendorfer is a Professor at FH Steyr - University of Applied Sciences, affiliated with the School of Production and Operations Management. He leads the Research Center Steyr's work on smart production systems, focusing on topics like material requirements planning, production scheduling, and simulation-based optimization. His research contributes to UN Sustainable Development Goals related to Industry, Innovation, and Infrastructure (SDG9). Key areas of expertise include production system engineering, lead time optimization, service level management, and robust production planning. His work emphasizes simulation modeling for evaluating planning parameters under uncertainty, with recent projects addressing energy cost balancing and stochastic demand scenarios. Altendorfer has received the FH OÖ Forscher*innen Preis 2020 award and actively participates in academic activities, including organizing conferences like the ASIM Dedicated Conference on Simulation in Production and Logistics. He has supervised 9 research projects and holds an h-index of 49 with 14 citations. His current grants include leadership roles in projects such as 'SimGenOpt2 - Integrated Methods for Robust Production Planning and Control' (2017-2021) and 'Optimal Workforce' (2016-2018), focusing on workforce planning and simulation optimization in manufacturing environments. Research activities span interdisciplinary collaboration with industry partners, emphasizing practical applications of simulation-based methods in production systems and logistics optimization.

• Virtual Reality in Rehabilitation
• Biomechanics
• Motion Analysis
• +3 more

Mark Simonlehner is a Junior Researcher at the Institute of Health Sciences, Department of Health Sciences at Steyr University of Applied Sciences. His work focuses on applying virtual reality (VR) and advanced motion capture technologies to study human movement biomechanics and rehabilitation engineering. He holds an MSc in Biomedical Engineering and has contributed to projects such as VReeze, ULTRASKEL3D, and ReMoCap-Lab, exploring applications of VR in healthcare and motion analysis. Education: Master's in Health and Rehabilitation Technology (2017–Present), Bachelor's in Biomedical Engineering (2013–2017). Prior to academia, he worked as a carpenter and attended the Holztechnikum Kuchl (2004–2009). Research interests include gait analysis, wearable sensor technologies, and improving clinical assessment methods through VR. His publications emphasize the effects of VR on dynamic balance, motion variability, and joint alignment in rehabilitation contexts. Key collaborations involve studies on exergame development for physical activity promotion and biomechanical validation of VR systems against traditional force plate measurements. His work bridges clinical needs with innovative engineering solutions in health sciences.

• Statistical Methods
• Machine Learning
• Materials Science
• +5 more

Matthias Neumann is an Assistant Professor at the Institute of Statistics, Graz University of Technology . He completed his PhD in 2020 at Ulm University under Prof. Volker Schmidt, earning the PhD prize of Ulm University . His research focuses on stochastic 3D modeling and statistical analysis of micro- and nanostructures for functional materials, including battery electrodes , fuel cells , and paper-based materials . He has received start-up funding from ProTrainU (2020-2022) and served as principal investigator in the POLiS Cluster of Excellence (2022-2023). Research Interests: His work integrates mathematical morphology , machine learning , and spatial statistics to develop methods for microstructure quantification , estimation of geometrical descriptors (e.g., tortuosity, constrictivity), and data-driven models linking morphology to effective physical properties . He utilizes random fields , point processes , and copulas for virtual microstructure generation and parameter estimation. Teaching: He lectures on Applied Statistics , Statistical Modeling , and Mathematical Statistics at Graz University of Technology, with prior teaching experience at Ulm University in Multivariate Stochastic Modeling , Point Processes , and Spatial Statistics . Scientific Achievements: PhD prize of Ulm University (2020) ProTrainU start-up funding (2020-2022) POLiS Cluster of Excellence grant (2022-2023) Publications: His 15 most recent articles (2023-2025) emphasize machine learning techniques for microstructure segmentation , stochastic 3D modeling of nanoporous materials , and data-driven quantification of transport-property relationships . Key topics include random forests , neural networks , and R-vine copulas applied to fuel cells , sodium-ion batteries , and polymer electrolytes .

• Forest Resource Management
• LiDAR Technology
• 3D Point Cloud Analysis
• +5 more

Andreas Tockner is a researcher at the Institute of Forest Growth, part of the Department of Ecosystem Management, Climate and Biodiversity at the University of Natural Resources and Life Sciences, Vienna (BOKU). He holds a Dipl.-Ing. and B.Sc. degree and is currently pursuing PhD studies since 2021 as part of the "Building Like Nature" program at BOKU University. His work focuses on applying advanced laser scanning technologies to forest resource management and inventory. Dr. Tockner's educational background includes a Diplom-Ingenieur (Dipl.-Ing.) and Bachelor of Science (B.Sc.) degrees. His PhD studies at BOKU University began in 2021 as part of the "Building Like Nature" program. He is actively developing expertise in software development for instance segmentation and feature extraction of 3D point clouds. His research interests center around forest resource management with a strong emphasis on ground-based laser scanning technologies, particularly mobile LiDAR systems. He specializes in software development for instance segmentation and feature extraction of 3D point clouds, which has significant applications in modern forest inventory and monitoring. His work bridges the gap between advanced geospatial technologies and practical forestry applications, enabling more precise and efficient forest management practices. He has developed expertise in analyzing forest structures through 3D point cloud data, with particular focus on tree species classification, forest regeneration monitoring, and timber measurement at individual log levels. Dr. Tockner's publication record reveals a clear progression toward increasingly sophisticated applications of laser scanning technology in forestry. His work has evolved from basic measurement techniques to complex analysis of forest ecosystems, including species identification, wood quality prediction, and even long-term forest projections using digital twin technology. His interdisciplinary approach combines forestry, computer science, and data analytics to solve practical challenges in forest management. Advancements in personal laser scanning for forest inventory Methods for tree species classification using intensity patterns Techniques for quantifying forest regeneration Digital twin applications for forest modeling and future projections Dr. Tockner has supervised two Master's theses in 2025: "Evaluierung boden-, luftgestützter und hybrider Methoden zur Forstinventur im Naturpark Sparbach" by Elias Kimmel and "Assessing the Potential of Personal Laser Scanning to Quantify Tropical Tree Structures" by Luca Stephan Seiler. His research is supported by multiple projects including "Lidar based forest monitoring and harvesting planning" (2023-2026) funded by Federal Ministries and "Forest Inventory with Personal Laserscanners" (2022-2025) funded by the Austrian Research Promotion Agency (FFG). He is actively involved in developing practical applications of laser scanning technology for forest management, with a particular focus on making these technologies accessible for field operations. His work on using Apple iPad Pro with integrated LiDAR technology demonstrates his commitment to practical, field-deployable solutions that can transform traditional forest inventory practices.

Felix HolzmeisterView profile

Professor

• Experimental Economics
• Behavioral Finance
• Philosophy of Science
• +3 more

Felix Holzmeister is a Professor in the Department of Economics at the University of Innsbruck, affiliated with the 'Innsbruck Decision Sciences' research center. His work focuses on experimental and behavioral economics, finance, and the philosophy of science. He coordinates interdisciplinary research efforts and collaborates with a team including Markus Walzl, Rudolf Kerschbamer, and others. Research Interests: Holzmeister investigates researcher variability in social science experiments, replicability challenges, and methodological rigor. His work spans lab-, field-, and online-based experiments, emphasizing crowd-sourced science and multi-analyst approaches. Key contributions include studies on risk perception among financial professionals and global societal trends. Notable Publications: He co-authored influential papers in Nature (2020) on neuroimaging dataset variability and Management Science (2020) analyzing risk perception. His research also addresses replication crises in social sciences and methodological transparency. Awards: None explicitly listed, though his work has garnered significant academic attention. Collaborations focus on interdisciplinary work, workshops, and disseminating findings through open science frameworks. Labs/Teams: Active in the Innsbruck Decision Sciences team, emphasizing collaborative research and innovation in experimental methods.

• Logistics
• Supply Chain Management
• Production Planning
• +5 more

Prof. Margaretha Gansterer is a full professor and Dean of the Faculty of Economics and Law at Alpen-Adria-Universität Klagenfurt. She leads the Institute for Production, Energy and Environmental Management and the Department of Production Management and Logistics. Her work focuses on production economics, logistics optimization, and collaborative transportation systems. Key research areas include supply chain resilience, vehicle routing problems, and disaster response logistics. Her research addresses challenges such as decentralized production planning, automated parcel locker networks, and emergency resource allocation during crises. Notable contributions include methodologies for demand uncertainty mitigation, horizontal collaboration in transportation, and optimization of multi-agent systems. Prof. Gansterer's recent publications (2023–2025) emphasize pandemic-related logistics, such as SARS-CoV-2 testing strategies in healthcare settings and contingency planning for driver absenteeism. She also explores innovative applications of combinatorial auctions and artificial intelligence in logistics decision-making. Research Priorities: Business Administration, Logistics, Production Management Leadership Roles: Senate Dean, Institute Head, Department Head Key Facilities: Production Management and Logistics Department (Campus South Wing East) Her work integrates simulation-based optimization with real-world supply chain modeling, contributing to both academic and practical advancements in operational efficiency and sustainability.

• Food Chemistry
• Food Analysis
• Food Safety
• +7 more

Sabine Baumgartner is an Associate Professor at the University of Natural Resources and Life Sciences, Vienna (BOKU), affiliated with the Department of Bioanalytics and Agro-Metabolomics . Her work focuses on food chemistry , allergen detection , and immunoassay development for food safety. Research interests include: Molecular characterization of food allergens Development of ELISA and lateral flow devices Mass spectrometry for allergen quantification Protein extraction/purification from plant and insect sources Allergen risk assessment frameworks Her publications span 15+ years of innovation in antibody production, cross-reactivity analysis, and multi-technique validation (ELISA, PCR, MS). Key projects include the Danube Allergy Research Cluster and EU-funded iFAAM initiatives. Scientific awards include the Altvizerektorinnenkette (2023) and FEMtech Expertin des Monats (2009). She supervises PhD and Master’s theses on food allergen detection and serves on advisory committees for AOAC , CEN/TC 275/WG12 , and MoniQA Association . Current roles include deputy head of her institute and membership in the Scientific Advisory Board of DIE ERNÄHRUNG journal.

Karin SchwaigerView profile

Professor

• Food Microbiology
• Antibiotic Resistance
• Zoonotic Diseases
• +4 more

Karin Schwaiger serves as Professor and Head of the Department of Food Hygiene and Technology at the University of Veterinary Medicine Vienna's Faculty of Veterinary Medicine. With her leadership position and extensive research portfolio, she represents a prominent figure in veterinary public health and food safety sciences within Austria's premier veterinary institution. Professor Schwaiger's research program focuses on critical intersections between animal health, food safety, and public health. Her work examines pathogenic and antibiotic-resistant bacteria throughout the food chain from farm to fork, employing both phenotypic and genotypic approaches. She investigates zoonotic diseases of economic significance, develops diagnostic and prevention strategies, and analyzes microbial communities impacting animal health. Her department reconstructs microbiological quality in processed foods and establishes science-based animal welfare parameters, with particular interest in symbiotic grazing systems. Analysis of her recent publication record reveals consistent focus on foodborne pathogens, particularly cold-tolerant Clostridium species causing meat spoilage, Campylobacter contamination routes, and novel decontamination methods like cold atmospheric plasma. Her work spans analytical methodology development, microbial ecology studies, and practical interventions for improving food safety throughout production chains. This research demonstrates strong translational potential for both industry applications and public health protection. As department head, Professor Schwaiger oversees research initiatives and educational programs within Food Hygiene and Technology. Her leadership role encompasses strategic direction for the department's scientific activities, resource allocation, and representation within the university's administrative structure. While specific grant details aren't provided in available materials, her extensive publication record suggests successful acquisition of competitive research funding. The Department of Food Hygiene and Technology operates within the University of Veterinary Medicine Vienna's infrastructure, conducting laboratory-based research on food safety issues with particular relevance to veterinary public health. The department maintains connections with Austrian agricultural sectors, food industry stakeholders, and public health authorities to address contemporary food safety challenges.

• Nanotechnology
• Nanomaterial Safety
• Allergy Research
• +6 more

Martin Himly is an Associate Professor in Life Sciences and Medical Biology at the University of Salzburg, with extensive research activity spanning over two decades. His academic profile shows consistent publication output with over 200 publications and involvement in more than 30 research projects, demonstrating sustained scholarly productivity and significant research impact. His research focuses on nanotechnology, nanomaterial safety, and immunotoxicology, with particular emphasis on Safe and Sustainable-by-Design (SSbD) approaches. His work bridges materials science, environmental health, and medical applications, with notable contributions to understanding nanoparticle-protein interactions, nanomedicine development, and allergy research. Recent projects demonstrate his leadership in cutting-edge research areas including nanoplatforms for neuroscience, improving allergy diagnostics, and developing sustainable nanomaterials. Analysis of his publication trends reveals a strong focus on nanosafety, with increasing emphasis on sustainability aspects in recent years. His research spans both fundamental mechanistic studies of nanomaterial-biological interactions and applied research developing practical solutions for safer nanotechnology applications. The interdisciplinary nature of his work is evident in collaborations across environmental science, toxicology, and medical research domains. CAS President International Fellowship Initiative (PIFI) Scholarship (2024) International Guest Professor (2024) Kurt Zopf Preis (2023) 12. Schulwettbewerb zur Nanotechnologie vom Nanonetz Bayern e.V. (2018) AK Wissenschaftpreis (2017) As an active member of the scientific community, Himly serves as a peer reviewer for multiple high-impact journals including Environmental Pollution, Cell Biomaterials, and ACS Nano. He participates in significant scientific events such as the Venice Training School on SSbD of Advanced Materials and Chemicals, demonstrating his leadership in advancing standards for sustainable nanotechnology. His involvement with Scientists4Future Salzburg highlights his commitment to addressing societal challenges through scientific expertise.

Imola WilhelmView profile

Research Fellow

• Neurovascular unit
• Blood-brain barrier
• Cerebral circulation
• +4 more

Imola Wilhelm serves as a senior research associate at Hungary's Biological Research Centre in Szeged, where she leads pioneering investigations into the neurovascular unit, blood-brain barrier dynamics, and cerebral circulation. Her work specifically examines pericyte function in pathological contexts including brain metastasis, neuroinflammation, and aging processes. As a leading scholar in neurovascular biology, Wilhelm's research integrates molecular and physiological approaches to unravel blood-brain barrier mechanisms under disease conditions. Her dual expertise spans both neurovascular pathology and advanced photonics, with significant contributions to silicon nitride waveguide technologies for biosensing applications. Her 15 most recent publications (2021-2025) reveal a strategic convergence of machine learning and photonic engineering, featuring optimization of silicon nitride platforms, loss-minimization techniques, and biosensor development. This work demonstrates consistent methodological innovation across fabrication, characterization, and application domains. Wilhelm's exceptional contributions have earned prestigious recognition: Bolyai János Research Fellowship from the Hungarian Academy of Sciences L’Oreal-UNESCO Women in Science national scholarship Junior Award for early-career research excellence She actively mentors BSc, MSc, MD, and PhD students while directing multiple scientific grants as principal investigator. Since 2020, she has served as a Szent-Györgyi mentor for the National Academy of Scientist Education and currently holds an executive board position at the Hungarian Young Academy (joined 2021). Her science communication outreach includes Researchers’ Night lectures since 2014 and Brain Awareness Week participation since 2018. Wilhelm leads a multidisciplinary research team at the Biological Research Centre that bridges neurovascular biology with photonic sensor development, maintaining active collaborations across both domains while supervising graduate trainees and postdoctoral researchers.

Christian SlugovcView profile

Associate Professor

• Organocatalysis
• Olefin Metathesis
• Porous Polymers
• +5 more

Christian Slugovc is an Associate Professor at Graz University of Technology, Faculty of Technical Chemistry, where he leads the Slugovc Group within the Institute of Chemical Technology of Materials (ICTM). He serves as Director of the Christian Doppler Laboratory for Organocatalysis in Polymerization and is an Associate Editor of Monatshefte für Chemie (Springer Verlag). His research has established him as a leading figure in polymer chemistry and materials science, with particular expertise in catalytic polymerization processes. Slugovc's research interests center on advancing catalytic polymerization reactions through the development of more efficient catalytic processes and comprehensive mechanistic understanding at the molecular level. His group focuses on four main interconnected research areas: Olefin Metathesis (including catalyst development and polymerization mechanisms), Organocatalysis (particularly for sustainable polymer synthesis), Porous Polymers (including emulsion-templated materials and metal-organic frameworks), and Click Chemistry (especially inverse electron-demand Diels-Alder reactions). His work bridges fundamental mechanistic studies with practical applications in sustainable materials, energy storage, and sensor technologies. Analysis of his recent publications reveals a strong trend toward interdisciplinary materials research combining polymer chemistry with advanced characterization techniques. His group has increasingly focused on metal-organic frameworks (MOFs) and their applications in sensing, while maintaining core expertise in catalytic polymerization. Recent work demonstrates sophisticated integration of computational methods with experimental approaches, particularly in mechanical property characterization of porous materials. The research shows a clear commitment to sustainable chemistry principles, with growing emphasis on bio-based feedstocks and water-based synthesis methods. 3rd place in Houska prize competition 2010 for research on biocidal polymers Best Review Article Award 2023 of Monatshefte für Chemie for paper on oxa-Michael polymerization Förderpreis für Chemie for dissertation on 'Oxa-Michael Chemistry: Synthesis, Use and Reprocessability of Polyethers' Professor Slugovc has secured significant research funding through multiple European Union projects (including EC-FP6 Dentalopt, EC-FP7-SME-BIOSURF, EC-FP7-EUMET) and Austrian national programs (FFG projects LIGPOLY, LIGNOPOLY, KONZID). He has supervised numerous doctoral students and postdoctoral researchers through his leadership of the Christian Doppler Laboratory and participation in collaborative projects. His research group actively engages with industry partners to translate fundamental discoveries into practical applications. The Slugovc Group operates within the Institute of Chemical Technology of Materials at TU Graz, with laboratory facilities supporting synthetic polymer chemistry, materials characterization, and application testing. The group participates in the Porous Materials@Work for Sustainability initiative and collaborates extensively with other research groups at TU Graz and internationally, particularly in the areas of MOF research and advanced polymer synthesis.

Egon LüfteneggerView profile

Senior Lecturer

• Business Process Management
• Sentiment Analysis
• Process Mining
• +3 more

Egon Lüftenegger is a Senior Lecturer at Fachhochschule Salzburg's Department of Information Technologies and Digitalisation. His work bridges academia and industry through innovative process mining and sentiment analysis applications. PhD in Information Systems (TU Eindhoven) Focus on Service-Dominant Logic and Business Process Management Active in Industry 4.0 and Digital Transformation research His research explores sentiment-driven process redesign, technology-enabled social inclusion, and smart production analytics. Publications highlight process mining frameworks , LLM applications in BPM, and service-dominant business models . Current projects involve creating tools like SentiProMoWeb and Cost-Benefit Tracker, with applications in manufacturing, airline services, and education sectors.

• Geomechanics
• Peridynamics
• Phase-field model
• +7 more

Privatdozent Dr. Yunteng Wang is a faculty member at the Institute of Geotechnical Engineering within the Department of Landscape, Water and Infrastructure at the University of Natural Resources and Life Sciences, Vienna (BOKU). He earned his Habilitation in Geotechnical Engineering from BOKU University in 2024 and previously served as an FWF Lise Meitner Research Fellow at the institution (2021-2024). His academic background includes a Ph.D. in Engineering from Chongqing University, China (2013-2019) and a Bachelor's degree in Civil Engineering from the same university (2009-2013). Dr. Wang's research focuses on advanced computational methods in geomechanics, particularly in the areas of: Geomechanics and rock mechanics Peridynamics and phase-field modeling Fracture and localization phenomena Data-driven approaches and machine learning applications Geothermal energy extraction mechanics His recent publications demonstrate a strong trend toward integrating traditional geomechanical modeling with cutting-edge computational techniques, including sophisticated numerical frameworks that combine peridynamics, phase-field methods, and data-driven strategies to address complex fracture and failure phenomena in geological materials. His work spans from fundamental theoretical developments to practical applications in geothermal energy and infrastructure engineering. Dr. Wang has been recognized with notable awards including the Acta Geotechnica Best Paper Prize (2019) and the Excellent Doctoral Dissertation award from the Chinese Society for Rock Mechanics & Engineering (2020). He currently leads three significant research projects funded by the European Commission and industry partners, focusing on: Solid and Fluid Phase Transition of Granular Materials (2026-2030) Modern numerical methods for high-fidelity simulation of geohazards (2025-2029) CO2 enhanced development of HDR and safe capping (2023-2025) Dr. Wang serves as an active member of the scientific community, reviewing for prestigious journals including Computers & Structures, Rock Mechanics and Rock Engineering, Acta Geotechnica, GEOTECTONICS, Geofluids, and Engineering Fracture Mechanics, while also evaluating proposals for organizations like the Vienna International School of Earth and Space Sciences (VISESS).