Find Academic Supervisors

• Plant Physiology
• Viticulture
• Abiotic Stress
• +7 more

Jose Carlos Herrera, Ph.D., is a Senior Scientist at the Institute of Viticulture and Fruit Growing within the Department of Agricultural Sciences at the University of Natural Resources and Life Sciences, Vienna (BOKU). He has been affiliated with BOKU since 2016, first as an Assistant Professor and promoted to Senior Scientist in 2022. His research is centered on the stress physiology and ecophysiology of grapevines, particularly under drought and heat stress, with additional focus on irrigation management and grape biochemistry. His research interests lie at the intersection of plant physiology, viticulture, and climate change adaptation. He investigates stomatal behavior, water relations, osmotic adjustment, metabolic plasticity, and drought legacy effects in grapevines. His work emphasizes both fundamental physiological mechanisms and practical applications for sustainable viticulture in a changing climate. The 15 most recent publications highlight a consistent focus on abiotic stress responses in grapevines, particularly drought and heat. Key themes include stomatal regulation, hydraulic traits, osmotic adjustment, seasonal acclimation, phenotyping methods, and the use of PIWI cultivars. His research combines field and controlled experiments with advanced measurement techniques, including physiological monitoring and remote sensing. There is a strong emphasis on understanding carry-over effects and time-dependent responses, reflecting a deep interest in plant memory and acclimation. Joseph Pleil Forschungspreis der Österreichischen Hagelversicherung (2018) Herrera actively supervises master’s students and has served on Ph.D. examination committees at international institutions such as the Universidad de Murcia. He is a frequent reviewer for leading journals in plant science and viticulture. His research is supported by national funding bodies (e.g., FWF) and industry partners. He is also engaged in knowledge transfer, contributing to public outreach and media discussions on climate change impacts on viticulture. He leads multiple research projects focused on optimizing water use, enhancing drought tolerance, and developing climate-resilient viticultural practices. His work often involves interdisciplinary collaboration and the application of novel technologies for monitoring and modeling vine responses.

• Computer Science
• Algorithms
• Data Structures
• +2 more

Robert Elsässer is a Professor at the University of Salzburg , affiliated with the Faculty of Digital and Analytical Sciences and serving as Deputy Head of the Department of Computer Science . He leads the Efficient Algorithms Working Group , contributing to research and teaching in algorithmic design and computational theory. His research interests span Algorithm optimization Data structure analysis Distributed computing systems Theoretical computer science with a focus on efficient computational methods. Based at Jakob-Haringer-Str. 2, 5020 Salzburg, he is contactable via robert.elsaesser@plus.ac.at or phone (+43 662 8044-6309).

Adrian Rebola PardoView profile

Researcher

• Symbolic Artificial Intelligence
• Computational Logic
• Quantified Boolean Formulas
• +3 more

Adrian Rebola Pardo is a researcher at the Institute for Symbolic Artificial Intelligence at Johannes Kepler University Linz (Austria). His work focuses on computational logic, formal verification, and SAT solving, with recent contributions to quantified Boolean formulas and proof systems optimization. He is actively involved in the Cluster of Excellence 'Bilateral Artificial Intelligence' (2024-2029) and teaches courses like 'Computational Logic for AI' and 'Formal Models in AI'. Research Interests : Symbolic AI, computational logic, formal verification, SAT solving, quantified Boolean formulas, and algorithm optimization Recent Article Trends : Publications focus on quantifier shifting techniques, proof complexity reduction, and DRAT proof system improvements Academic Activities : Speaker at multiple international conferences including IJCAR 2024 and SAT 2023

Nick BartonView profile

Professor

• Evolutionary Genetics
• Population Genetics
• Speciation
• +9 more

Nick Barton is a Professor and Group Leader at the Institute of Science and Technology Austria (ISTA), where he leads research in evolutionary genetics. He is affiliated with the SFB Polygenic Adaptation at the University of Veterinary Medicine Vienna, reflecting collaborative research networks in Austria. His work bridges theoretical models and empirical data, particularly in hybrid zones and speciation. PhD in Genetics, University of East Anglia (1979) B.A. in Natural Sciences (Genetics), University of Cambridge (First Class, 1976) His research interests center on evolutionary genetics , with a focus on hybrid zones , speciation , polygenic adaptation , and quantitative genetics . He uses mathematical models to study selection on large numbers of genes and spatially continuous populations. His long-term field study of Antirrhinum majus in the Spanish Pyrenees integrates genomics, ecology, and pollinator behavior to understand how species diverge. He also investigates theoretical models of recombination, coalescence with selection, and evolutionary computation . The recent publications reflect a strong trend in genomic analysis of hybrid zones , fitness landscapes , self-incompatibility evolution , and theoretical models of information accumulation in evolution . Many studies combine field data with advanced computational methods like ancestral recombination graphs (ARGs) and population genomic inference. His scientific awards include: Royal Society Darwin Medal (2006) Linnean Society Darwin-Wallace Medal (2009) ERC Advanced Grants (2009, 2010) Erwin Schrödinger Prize (2013) Mendel Medal (2013) Royal Society/Wolfson Research Merit Award (2005–2010) Nick Barton has supervised numerous PhD students, including Parvathy Surendranadh, Oluwafunmilola Olusanya, Michal Hledik, and Eniko Edelsbrunner, whose theses cover topics like local adaptation, genetic load, and self-incompatibility. His research has been supported by major grants from the ERC (€1.9M), EPSRC, NERC, BBSRC, and FWF (€399K for Snapdragon speciation). He leads a vibrant research group involving postdocs and PhD students working on speciation, hybridization, and theoretical population genetics. The group conducts annual fieldwork in the Pyrenees, studying snapdragon hybrid zones, and fosters interdisciplinary collaboration with researchers in the UK, France, and Australia. His lab, the Research Group of Nick Barton , is based at ISTA and includes postdocs like Hilde Schneemann, Daria Shipilina, and Benjamin Wölfl, and PhD students such as Louise Fouqueau and Gemma Puixeu. The group is known for integrating theoretical models with empirical data and for its collaborative, team-oriented approach to evolutionary research.

Robert KoflerView profile

Associate Professor

• Evolutionary Genetics
• Genome Evolution
• Transposable Elements
• +7 more

Robert Kofler is an independent group leader (equivalent to Associate Professor) at the University of Veterinary Medicine Vienna, affiliated with the Institute of Population Genetics. He conducts interdisciplinary research at the intersection of genomics, evolution, and bioinformatics, focusing on the dynamics of transposable elements and the molecular mechanisms underlying adaptation. His research interests center on understanding the evolutionary forces shaping genome diversity across species. Using computational simulations, experimental evolution, and novel sequencing technologies, his lab investigates how transposable elements invade and spread in genomes, how piRNA clusters regulate them, and how these processes contribute to adaptive evolution. A key aspect of his work involves developing new bioinformatics software to analyze complex genetic data. Kofler's research is currently supported by multiple grants from the Austrian Science Fund (FWF), including projects on piRNA cluster size and transposable element abundance, long-read sequencing of transposable element dynamics, and experimental evolution studies. These grants indicate a strong, active research program with significant funding. FWF P35093: Does the size of piRNA clusters predict the abundance of transposable element insertions? FWF P34965: Unraveling the dynamics of transposable elements with long-read sequencing FWF P30036: Dynamics of a natural transposable element invasion in experimentally evolving populations FWF P29016: Optimizing novel methods for dissecting complex traits He leads the Kofler Lab, which includes several PhD and Master’s students, indicating an active role in training the next generation of scientists. The lab is part of the broader research environment at the Institute of Population Genetics, contributing to the university’s strong research profile in evolutionary biology and genomics.

• Sports Physiology
• Exercise Science
• Sports Medicine
• +3 more

Dr. Alfred Nimmerichter is a Professor and Head of the Faculty of Sports at the University of Applied Sciences Wiener Neustadt. He holds leadership roles as Head of the Bachelor and Master programs in Training & Sport and Training & Sport Sciences, and serves as Deputy Head of the Academic Board. His research focuses on sports physiology, particularly in youth athletes, exercise performance optimization, and muscle oxygenation dynamics. Key research areas include the effects of menstrual cycles on athletic performance, carbon shoe biomechanics, and pediatric exercise science. He leads projects like the 'Female Hormonal Cycle' study and investigates muscle deoxygenation in youth cyclists. His work emphasizes reproducibility in strength testing and critical power models in both lab and field settings. Recent publications highlight longitudinal studies on aerobic fitness in cyclists and cognitive factors in Formula 1 simulation performance. Nimmerichter is an editorial board member for Pediatric Exercise Science and actively collaborates on international projects. His applied research bridges sports science with practical training methodologies for elite and youth athletes.

• Polymer Engineering
• Recycling of Plastics
• Injection Molding
• +2 more

David Zidar holds the Chair of Polymer Processing and is recognized for his research in polymer engineering, plastic recycling, and injection molding processes. His work bridges industrial applications with sustainability, particularly in wear mechanisms and circular economy solutions. His research focuses on: Recycling methodologies for challenging materials like winter sports equipment Wear behavior optimization in plastic mold steels Performance enhancement of recycled polypropylene composites Upcycling technologies for post-consumer plastics Sustainable injection molding processes Recent publications (2024-2025) reveal a concentrated effort on circular economy implementation in niche industries, material performance validation through statistical design methods, and addressing environmental impacts in polymer processing. Key themes include winter sports recycling challenges, viscous dissipation effects on tooling, and Box-Behnken optimization of recycled composites. David Zidar has supervised Master's student K. Höfler on ski recycling research, demonstrating active mentorship in sustainable materials engineering.

Steffi HoferView profile

Professor

• Voice and Speech Training
• Theatre and Performance Studies
• Communication Skills
• +3 more

Steffi Hofer is a Professor at the Music and Arts University of the City of Vienna (MUK), specializing in voice and text training within the Faculty of Performing Arts. Her academic background includes studies in Speech Science and Phonetics, supplemented by expertise in Linguistics, German as a Foreign Language (DaF), and the Talmi Method®. She has held roles as a voice coach at the Burgtheater and interim head of the Acting Program at MUK. Notable achievements include a 2024 Dramatic Arts stipend from Vienna City, nomination for Ars Docendi (2021), and authorship of the influential book series Das handelnde Sprechen . Her research focuses on spatial communication dynamics, breath control, and artistic vocal expression. Education: Speech Science (MLU Halle-Wittenberg), Clinical Speech Science Postgraduation Additional Training: Business Coaching, Talmi Method®, Drama Research interests bridge practical performing arts with academic inquiry, including actor vocal techniques, intercultural communication, and stage presence optimization. Recent artistic projects include leadership of experimental theatre initiatives and international residencies in Japan, Stockholm, and Helsinki.

• Model-Driven Engineering
• Software Engineering
• Model Transformation
• +3 more

Gertrude Kappel is a Full Professor (O.Univ.Prof.in) in the Business Informatics Research Area at TU Wien, Austria. Her research focuses on model-driven engineering, software systems modeling, and industrial applications of formal methods. She has contributed extensively to advancing UML/fUML standards, model transformation techniques, and interdisciplinary approaches to software engineering. Education and Academic Background: While specific educational details are not explicitly listed, her academic role at TU Wien indicates a PhD in Computer Science or related field. She has been actively involved in shaping curricula for model-based software engineering and adapting educational methods for remote learning environments. Research Interests: Her work bridges theoretical modeling frameworks with practical industrial challenges. Key areas include: Model-driven software development lifecycle Integration of IoT and CPS systems Formal verification of software models Temporal and time-series data modeling Interdisciplinary modeling methodologies Collaborations and Impact: Over 120+ publications since 2000 demonstrate her leadership in advancing model-based approaches across academia and industry. Recent work addresses Industry 4.0 challenges and digital transformation in production systems. Advising and Grants: While specific grant details are not provided, her extensive publication record and involvement in thesis supervision (evidenced by contributed theses) indicate active research leadership. She has guided student research on topics like cloud modeling languages, sensor data analysis, and model-driven testing frameworks. Labs and Teams: Core contributor to TU Wien's Network Lab and the Model-Driven Engineering research group. Active in interdisciplinary initiatives like the CPS/IoT Ecosystem platform and industrial process improvement projects.

Florian MischekView profile

Researcher

• Operations Research
• Scheduling Algorithms
• Artificial Intelligence
• +3 more

Florian Mischek is a researcher affiliated with TU Wien's Forschungsbereich Databases and Artificial Intelligence department. His work focuses on optimization problems in industrial scheduling, particularly in test laboratories and healthcare environments. He holds a BSc, Dipl.-Ing (engineer's diploma), and a Dr.techn (doctorate) in technical sciences. Research interests include scheduling algorithms, hyper-heuristics, constraint programming, reinforcement learning, and their applications to real-world challenges like test laboratory operations and pandemic-era healthcare staffing. His contributions span both theoretical advancements in optimization frameworks and practical system implementations for automated scheduling. Notable publications explore problem-independent hyper-heuristics, reinforcement learning for cross-domain optimization, and local search frameworks for industrial scheduling. He has collaborated extensively with Prof. Nysret Musliu on projects involving test laboratories and nurse rostering problems. His work often bridges mathematical programming and heuristic approaches, emphasizing practical applicability.

Hikaru IbayashiView profile

Researcher

• Machine Learning
• Deep Learning
• Neural Networks
• +3 more

Hikaru Ibayashi is a Researcher at Meta's Instagram organization. He holds a Ph.D. in Computer Science from the University of Southern California and dual degrees in Computer Science (M.S.) and Physics (B.S.) from the University of Tokyo. His research focuses on deep neural networks, physics-informed machine learning, and optimization algorithms. Ph.D.: University of Southern California (Computer Science) M.S.: University of Tokyo (Computer Science) B.S.: University of Tokyo (Physics) Research interests include scalable neural network-based quantum molecular dynamics simulations, analysis of SGD behavior in non-convex landscapes, and adaptive fluid simulation techniques. His work bridges machine learning theory with computational physics and graphics applications. Key contributions include the Allegro-Legato model for robust molecular dynamics simulations and novel approaches for liquid simulation using dynamically warping grids. Notable collaborations involve institutions like the University of Tokyo, IST Austria, and TU München.

Matthias ZeppelzauerView profile

Professor

• Human-Centered AI
• Computer Vision
• Multimodal Learning
• +5 more

FH-Prof. Priv.-Doz. Dr. Matthias Zeppelzauer is a Professor of Computer Vision and Machine Learning at the University of Applied Sciences St. Pölten, leading the Media Computing Research Group at the Institute of Creative Media Technologies. His work focuses on human-centered AI, explainable machine learning, and clinical gait analysis. He holds a habilitation in Computer Science from TU Wien and has authored/co-authored over 90 publications. Education: PhD in Computer Science (2011, TU Wien) Habilitation (2020, TU Wien) Bachelor/Master in Media Informatics (1999-2006, TU Wien) Research Interests: Human-centered AI, computer vision, multimodal learning, explainable AI, clinical gait analysis, and social media analysis. Cross-cutting themes include interactive machine learning and trustworthy AI. Key Contributions: Developed methods for gait analysis (GaitRec dataset), explainable AI frameworks (KAVAGait), and multimodal fake news detection. Coordinated the Center for Artificial Intelligence at FH St. Pölten since 2021. Recognition: 2024 EuroVA Best Paper Award 2021 MTD Award for ReMoCapLab 2020 CVPR Outstanding Reviewer 2018 Austrian Open Source Award Grants & Projects: Coordinator of FAIRAI, TrustAI, and ReMoCapLab projects. Involved in EU-funded initiatives like Visual Heritage and Center for Digital Health. Labs/Teams: Leads Media Computing Research Group and collaborates with the Center for Artificial Intelligence and Center for Digital Health.

• Bioinformatics
• Multi-omics Data Integration
• Artificial Intelligence
• +3 more

Katharina Maria Munk is a Researcher at the University of Applied Sciences Upper Austria, Hagenberg campus, affiliated with the Bioinformatics Center of Excellence and Medical Engineering/TIMed Center. Holding an M.Sc. degree, she actively contributes to research in computational biology and AI applications with an h-index of 7. Her research focuses on Bioinformatics and Multi-omics Data Integration, developing practical AI solutions for medical challenges like Alzheimer's disease management and environmental issues such as bark beetle infestations. She specializes in creating software tools that bridge computational methods with real-world healthcare and ecological applications. Recent publications reveal a strong trend toward user-centric bioinformatics applications, including the Holomics R Shiny tool for multi-omics analysis and the TrainYourBrain Optimizer for dementia care. Her work consistently integrates data science with domain-specific biological and medical contexts. As Co-Investigator in two major projects, she contributes to SmartBeetle (2024-2028), which applies molecular AI to combat forest-damaging bark beetles through Interreg Österreich-Tschechien funding, and TCA-TrainYourBrain (2023-2024), developing software for Alzheimer patient training plans in Upper Austria. She operates within the Bioinformatics Center of Excellence and Medical Engineering/TIMed Center, collaborating across disciplines to advance computational approaches in biological systems and healthcare solutions.

• High Performance Computing
• Bioinformatics
• Scheduling Algorithms
• +3 more

Gerald Lirk is a Professor at Fachhochschule Campus Hagenberg, specializing in interdisciplinary research spanning High Performance Computing, Bioinformatics, and Medical Diagnostics. His work integrates computational methods with healthcare applications, including studies on epigenetic mutations, driver distraction systems, and brain connectivity analysis. Research interests focus on optimizing computational frameworks for biomedical applications, such as scheduling algorithms for HPC environments and analyzing genetic markers in hematologic disorders. He has led projects like Lingohub (2013–2014) and WIMAKS (2012–2013), funded by EFRE Regio 13. Recent contributions include peer-reviewed studies on mutational burden impacts and feasibility of adolescent health programs. He actively engages in public discourse on topics like vaccine mechanisms and NGS data analysis, delivering over 20 talks and presentations since 2013.

Thomas FelberbauerView profile

Professor

• Production Planning
• Simulation
• Supply Chain Management
• +6 more

FH-Prof. Dr. Thomas Felberbauer is a Professor and Head of the Department of Media and Digital Technologies at the University of Applied Sciences St. Pölten. He serves as Academic Director of the Smart Engineering (BA) program and is a member of the University's Board (2023-2026). His roles include overseeing the Institute of Creative Media/Technologies and coordinating interdisciplinary programs in Data Science & AI and Digital Innovation & Research. Prof. Felberbauer’s career spans academia and industry: since 2016, he has held academic positions at FH St. Pölten, focusing on Industry 4.0 and Smart Engineering. Earlier roles include Assistant Professor (2015–2016) and Research Associate (2011–2015) at FH-OÖ. He is also a self-employed IT consultant (FeTh eU since 2011) and previously worked in electrical systems and production at BMW Motoren GmbH (2000–2006). His research emphasizes simulation-based optimization for production planning, supply chain dynamics, and Industry 4.0 applications. Notable projects include aquaponics data-sharing frameworks and energy-cost balancing in manufacturing. He employs advanced simulation techniques to address stochastic demand, forecast accuracy, and inventory management challenges. Prof. Felberbauer contributes to applied industry partnerships, including projects on circular economy systems and production planning gamification. His work bridges theoretical models with real-world implementations, particularly in automotive and small-batch production sectors. He advocates for decentralized production control and data-driven decision-making in smart manufacturing systems.