Find Academic Supervisors

• Computational Mechanics
• Boundary Element Methods
• Wave Propagation
• +3 more

Prof. Martin Schanz is a full Professor at the Institute of Structural Mechanics, TU Graz, within the Faculty of Civil Engineering. His research focuses on numerical methods in computational mechanics, including boundary element methods (BEM), wave propagation modeling, porous media analysis, and structural optimization. He has authored numerous articles on topics such as fast multipole methods, adaptive cross approximation, and multiphasic modeling in biomechanics. Teaching responsibilities include courses on continuum mechanics and structural optimization. His work integrates advanced numerical techniques with applications in civil engineering, materials science, and biomedical systems. Notable projects include the development of efficient BEM formulations for time-domain problems and studies on thrombus formation using porous media theory. He advises doctoral students in computational mechanics and holds a leadership role in the institute. Research collaborations span structural acoustics, poroelasticity, and cardiovascular biomechanics. Contact: m.schanz@tugraz.at

• Rotor Dynamics
• Mechanical Engineering
• Vibration Analysis
• +3 more

Georg Quinz is affiliated with the Institute of Mechanics at Technische Universität Graz. His work focuses on rotor dynamics, vibration analysis, and numerical methods in mechanical engineering. He holds degrees including Dipl.-Ing. (TU Graz), Dr.techn., and BSc. His research emphasizes advanced balancing techniques for rotor systems, fluid film bearings, and fractional derivative damping models. Research interests include experimental and computational approaches to rotor dynamics challenges, such as parameter identification and modal balancing. Recent publications explore elimination of trial runs in balancing processes and validation through experimental setups. His research portal (PURE) indicates ongoing contributions to mechanical engineering with a focus on precision engineering and dynamic systems analysis.

• Electromagnetic Field Theory
• Hysteresis Modeling
• Finite Element Analysis
• +5 more

Prof. Klaus Roppert is a researcher at the Institute for Fundamentals and Theory of Electrical Engineering, Technische Universität Graz. His work focuses on electromagnetism, hysteresis modeling, and computational methods in electrical engineering. He holds degrees including Dipl.-Ing., Dr.techn., and BSc. Research Interests: Electromagnetic field theory and hysteresis modeling Finite element analysis for nonlinear systems Aeroacoustic simulations and fluid-structure interactions Material characterization and parameter identification Development of open-source simulation tools (e.g., openCFS) Recent work emphasizes transient analysis of transformers, rotational loss calculations, and energy-based vector hysteresis frameworks. He has contributed to modeling MEMS devices and EMI filters, with a focus on DC-biased components. Teaching and supervision: Involvement in courses and final theses supervision at TU Graz. Labs/Tools: Core contributor to openCFS, an open-source platform for coupled field simulations in acoustics and electromagnetics.

• Autonomous Systems
• Computer Vision
• Sensor Technology
• +5 more

Prof. Daniel Watzenig is a Full Professor at Graz University of Technology's Faculty of Electrical Engineering and Information Technology, affiliated with the Institute of Visual Computing and the Institute of Electrical Measurement and Sensor Technology. He serves as Dean of Studies for Digital Engineering (DE), overseeing academic programs in this field. His research focuses on autonomous systems, sensor fusion, and advanced control strategies for vehicles, with a strong emphasis on LiDAR technology, path planning algorithms, and real-time environmental perception systems. He holds academic qualifications including Dipl.-Ing. (FH) and Dr.techn. degrees. Research interests span robotics, computer vision, and machine learning applications in transportation systems. His work addresses challenges in autonomous vehicle navigation, sensor reliability under adverse conditions, and safety-critical system validation. Recent publications highlight innovations in thermal-LiDAR fusion, trajectory optimization, and radar-based occupancy grids. He actively contributes to interdisciplinary projects involving co-simulation frameworks and virtual validation methodologies for automated driving functions. Professional roles include leading academic programs in digital engineering and managing research collaborations at TU Graz. His technical expertise is reflected in over 100 publications (2020-2025) covering sensor technology, path planning algorithms, and autonomous system validation. Key labs/teams associated include the Institute of Visual Computing's autonomous systems group and the Electrical Measurement Institute's sensor innovation team.

Thomas TakacsView profile

Researcher

• Isogeometric Analysis
• Computational Mechanics
• Numerical Analysis
• +3 more

Dr. Thomas Takacs is a Project Leader in the Geometry in Simulations research group at the RICAM (Research Institute for Symbolic Computation), part of the Austrian Academy of Sciences. His work focuses on advancing computational methods for solving partial differential equations, particularly through isogeometric analysis and spline-based numerical techniques . His research interests include smooth basis constructions, multi-patch domain coupling, and adaptive mesh refinement strategies. Key contributions involve developing C1-continuous spline spaces over planar mixed meshes and unstructured quadrilateral meshes, with applications to engineering problems like linear elasticity. He explores the integration of machine learning (e.g., CNNs) for optimizing quad meshing and employs artificial neural networks in adaptive optimization frameworks. His work bridges geometric modeling and numerical analysis, addressing challenges such as singularity treatment in isogeometric analysis and approximation properties over self-similar meshes. Dr. Takacs collaborates on multi-institutional projects, including the Geometry in Simulations group at RICAM. His publications span computational mechanics, numerical methods, and geometric algorithms, with a focus on advancing the theoretical foundations and practical implementations of isogeometric analysis.

• Applied Mathematics
• Graph Theory
• Combinatorics
• +3 more

Prof. Angelika Wiegele is a full Professor at the Department of Mathematics at Alpen-Adria-Universität Klagenfurt. She serves as a member of the university senate and head of the Institut für Mathematik. Her research focuses on semidefinite optimization, combinatorial optimization, and their applications in graph theory and operations research. She holds a Dipl.-Ing. (2001) and Dr. techn. (2006) from Alpen-Adria-Universität Klagenfurt, with thesis supervision by Franz Rendl. Her academic career includes positions at TU Graz, IASI-CNR Rome, and Universität zu Köln, as well as a visiting professorship at Università di Roma Tor Vergata. Her educational background includes studies at City University London (Erasmus) and TU Eindhoven (Leonardo project). Recent work emphasizes SDP-based methods for graph partitioning, edge expansion, and combinatorial problems, with a focus on high-performance computing solutions. Her research bridges theoretical optimization with practical applications in network design and algorithmic development. Publications from 2021–2024 highlight advancements in semidefinite programming for graph partitioning, SDP-based bounds for cutwidth, and exact solvers for clustering problems. She contributed to the BiqBin and SOS-SDP solvers for quadratic optimization and co-edited special journal issues on mixed-integer nonlinear optimization. Her work often appears in top operations research journals and conference proceedings. Prof. Wiegele has held global faculty positions at the University of Cologne (2022–2024) and is active in international research collaborations through PRACE high-performance computing initiatives. She maintains an ORCID profile and a university webpage with teaching and research materials.

• Cyber-Physical Systems
• Smart Grids
• Swarm Intelligence
• +5 more

Prof. Wilfried Elmenreich is a Professor at the Department of Networked and Embedded Systems at Alpen-Adria-Universität Klagenfurt. He serves as a Member of the Senate and Member of the Works Council for Academic Staff. His research focuses on Cyber-Physical Systems, Smart Grids, Swarm Intelligence, and Sustainability Technologies. He leads projects involving swarm robotics, decentralized energy management, and educational technology. Key research areas include: Design of swarm-based algorithms for production scheduling and robotics Development of frameworks like SwarmFabSim for bottom-up optimization Non-Intrusive Load Monitoring (NILM) using neural networks and edge computing Integration of federated learning into smart grid systems Sustainability education and pandemic-related behavioral studies His work combines theoretical contributions with practical implementations, such as the CPSwarm project for swarm system design and the Yomopie energy monitoring tool. Recent publications emphasize interdisciplinary approaches, blending robotics, machine learning, and electrical engineering to address challenges in energy systems and autonomous systems.

• Artificial Intelligence
• Robotics
• Systems Engineering
• +3 more

Peter Pavel Arthur Petráš is a Tutor at the Institute for Intelligent System Technologies within the Faculty of Technical Sciences at the University of Klagenfurt. His research focuses on interdisciplinary applications of artificial intelligence, robotics, and systems engineering, with contributions to fields like swarmalator dynamics, automated systems design, and media literacy in digital environments. He is actively engaged in collaborative projects involving industry partners such as Infineon Technologies Austria AG and the Austrian Research Promotion Agency (FFG), emphasizing practical innovations in technology and education. While not listed as a project head, his role supports cutting-edge research in areas like radar simulation frameworks, garment sorting automation, and multi-agent localization systems. His work bridges theoretical advancements with real-world implementation, particularly in edge-cloud computing and interdisciplinary methodological innovations. Recent publications highlight his expertise in AI-driven solutions, robotics, and the societal implications of digital media. Notable themes include analyzing online political microtargeting avoidance, improving multi-robot exploration algorithms, and exploring poetry workshops in migration research. His contributions align with the University of Klagenfurt’s focus on fostering innovation through its Third Mission initiatives, emphasizing knowledge transfer to regional industries and public sectors. Petráš collaborates on projects addressing societal challenges, such as promoting media literacy through the #NoFakeFacts! Citizen Science initiative and enhancing wind turbine blade inspection via multimedia drones. His work reflects a commitment to both technical innovation and addressing ethical and educational dimensions of emerging technologies.

Oscar PastorView profile

Professor

• Conceptual modeling
• Model-driven engineering
• Requirements engineering
• +5 more

Full Professor and Director of the Valencian Research Institute of Artificial Intelligence (VRAIN) and the Research Center on Software Production Methods (PROS) at Polytechnic University of Valencia. Holds leadership positions including Director of Internationalization and Transference at VRAIN since 2022, Director of PROS since 2008, and former Director of the Department of Informatics Systems and Computation (2001-2002). PhD in 1992 after research at HP Labs, Bristol. Research spans conceptual modeling, model-driven engineering, and bioinformatics applications. Created the OASIS specification language and OO-METHOD production framework. Led development of IntegraNova, an MDA-based Conceptual Model Compiler commercialized through CARE Technologies (founded 1996). Current work focuses on Conceptual Modeling-based interpretation of Human Genome data. Recent publications demonstrate strong interdisciplinary convergence between software engineering and genomics, with significant output in model-driven development validation, ontology-based modeling, and genomic data management systems. Key themes include empirical validation of modeling techniques, precision medicine infrastructure, and evolutionary algorithms for requirement traceability. International Peter Chen Award on Conceptual Modeling (2016) ER Fellow Award (2010) Supervised 33 PhD and 51 Master's theses. Secured extensive funding including 7 international, 8 national, and 5 regional competitive projects plus 10 technology transfer projects. Edited 33 conference proceedings and organized 12 international conferences. Serves on steering committees for ER, CAiSE, ESEM, and other major conferences. Leads the PROS Research Center and multidisciplinary teams bridging information systems and bioinformatics. Current projects develop tools for genomic data interpretation using conceptual modeling frameworks, with applications in precision medicine and life engineering.

• Speech technology
• Phonology
• Language processing
• +4 more

Janet Pierrehumbert is a Professor of Language Modelling at the Oxford e-Research Centre (part of the Department of Engineering Science, University of Oxford). She holds a courtesy appointment in the Faculty of Linguistics, Philology and Phonetics and is an Associate Member of the Oxford-Man Institute of Quantitative Finance. Previously, she served as a Professor at Northwestern University (1993–2015), where she held leadership roles including department chair and director of graduate studies. Her interdisciplinary research spans experimental and computational linguistics, focusing on phonology, morphology, and computational linguistics. She is a Fellow of the American Academy of Arts and Sciences, the Cognitive Science Society, and the Linguistic Society of America, and a member of the National Academy of Sciences (USA). Education: BA in Linguistics and Mathematics (Harvard University); PhD in Linguistics (MIT). Research Interests: Pierrehumbert’s work integrates computational methods with linguistic theory to explore sound change, morphological processing, and language modeling. Her studies often address how statistical patterns in speech and lexicons influence phonological cognition. Recent projects include improving NLP models (e.g., BERT) through linguistic insights and developing benchmarks for hate-speech detection algorithms. Publications: Her work spans decades, with notable contributions to computational linguistics, phonology, and sociolinguistics. Recent articles highlight advancements in NLP ethics, morphological theory, and sound change mechanisms. Earlier foundational studies include pioneering work on Japanese tone structure and intonational pragmatics. Awards & Memberships: Her honors include the ISCA Medal for Scientific Achievement (2020) and Guggenheim Fellowship (1996). She co-founded the Association for Laboratory Phonology and is active in interdisciplinary initiatives like the Northwestern Institute on Complex Systems. Labs & Teams: Her research group at Oxford focuses on robust language technology and theoretical linguistics. She collaborates across disciplines, bridging computational and experimental approaches to language science.

Dieter FellnerView profile

Professor

• Computer Graphics
• Digital Libraries
• Computational Geometry
• +10 more

Dieter Fellner is a Professor of Computer Science at Technical University of Darmstadt, Germany , and Director of the Fraunhofer Institute of Computer Graphics (IGD) . He also serves as Founding Director of the Institute of Computer Graphics and Knowledge Visualization at Graz University of Technology, Austria. His career spans multiple prestigious institutions including University of Bonn, Memorial University of Newfoundland, and University of Technology Braunschweig. Dr. Fellner's research focuses on algorithms integrating modeling and rendering , digital libraries , virtual/augmented reality , collision detection , and radio wave propagation simulation . His work in digital libraries led to a DFG-funded strategic initiative (1997-2005) involving 50 researchers annually across 21 groups. The 15 most recent articles highlight his expertise in 3D document modeling , stereoscopic projection , subdivision surfaces , and color quantization . His publications include influential textbooks like the German standard on computer graphics (1988) and Digitale Bibliotheken (2000). 2000 Fellow of the Eurographics Association Best Technical Paper Award (Günther Enderle Award) at Eurographics’98 2007 IST Advisory Group (ISTAG) Member for the European Commission 2019 Honorary Doctorate from University of Rostock Dr. Fellner actively participates in editorial boards of journals like Computer Graphics Forum , IEEE CG&A , and JOCCH , and serves on program committees for conferences such as Eurographics, VSMM, and ACM Web3D. His leadership roles include Chairmanship of the Eurographics Association (1999-2000) and Directorship of Fraunhofer IGD (since 2006).

Hu ZhenjiangView profile

Professor

• Bidirectional Transformation
• Functional Programming
• Software Engineering
• +4 more

Zhenjiang Hu is a Chair Professor at Peking University, China, and previously held professorships at the National Institute of Informatics, University of Tokyo, and SOKENDAI. He specializes in bidirectional transformation, functional programming, and software engineering. His research focuses on foundational theories and applications in programming languages, including parallelization and formal methods. Education: BSc, Shanghai Jiao Tong University (1988) MSc, Shanghai Jiao Tong University (1991) PhD, University of Tokyo (1996) Research Interests: Development of bidirectional languages and frameworks Optimization of functional programs Automated parallelization techniques Formal verification of transformations Awards: Yangtze River Scholar (2015) ACM Distinguished Scientist (2016) Basic Research Achievement Award (2015) Multiple Best Paper Awards including Takahashi Awards (1997, 2008) Grants & Leadership: PI of 14 national grants totaling over 250 million Yen Founder and Chair of NII Shonan Meetings (2010-2018) Leadership roles in ICFP, MODELS, APLAS, and other top conferences Labs/Teams: Active in the NII Shonan Meetings, fostering collaborative research in informatics and software engineering.

Horst PosseggerView profile

Researcher

• Computer Vision
• Autonomous Systems
• Multiple Object Tracking
• +3 more

Horst Possegger is a Computer Vision researcher at the Institute of Computer Graphics and Vision at Graz University of Technology, Austria. He holds a BSc and MSc in Software Development and Business Management (2011, 2013) and a PhD in Computer Science (2018), all from Graz University of Technology. His research focuses on multiple object tracking/detection, human behavior analysis, and video analysis with applications in autonomous systems, LiDAR data processing, and robotics. Key projects include trajectory prediction, 3D object detection, and domain adaptation techniques for real-world scenarios. Recent work emphasizes cross-modal learning (e.g., vision-language models for LiDAR data), robust localization in challenging environments, and lightweight motion prediction models. He contributes to the Learning, Recognition & Surveillance (LRS) group and has published extensively in top-tier venues like IEEE/CVF CVPR and IROS. Publications span autonomous driving benchmarks, UWB-based localization, and warehouse automation. His work often bridges theoretical advancements with practical implementations in robotics and surveillance systems.

Adrian BejanView profile

Professor

• Thermodynamics
• Applied Physics
• Constructal Law
• +3 more

Adrian Bejan is the J.A. Jones Distinguished Professor of Mechanical Engineering at Duke University since 1989, with prior tenured roles at Duke (1984-1989) and the University of Colorado (1978-1984). His work bridges thermodynamics, heat transfer, and the Constructal Law, which he pioneered to explain natural design evolution. He holds 18 honorary doctorates globally and ranks among the top 100 most cited engineering authors (ISI, 2001). Education: B.S., M.S., Ph.D. in Mechanical Engineering from MIT (1971-1975). Research spans thermodynamics , natural convection , heat and mass transfer , and Constructal Law —a theory positing that natural and engineered systems evolve to maximize flow access. His work has been recognized with prestigious awards like the Benjamin Franklin Medal and Max Jakob Memorial Award . Recent publications focus on evolutionary design in heat transfer, fluid dynamics, and societal systems, emphasizing constructal principles across scales—from microchannel optimization to global energy networks. Articles highlight applications in thermal management, aeroelastic design, and biological locomotion. Scientific Awards: ASME Medal (2024) Knight of the French Order of Academic Palms (2020) Benjamin Franklin Medal (2018) 18 Doctorates Honoris Causa Luikov Medal, Hartnett Award, and others No student names are listed in the provided data, and lab/team details are unspecified.

Benediktsson Jon AtliView profile

Professor

• Remote Sensing
• Pattern Recognition
• Neural Networks
• +3 more

Jon Atli Benediktsson is the Rector and President of the University of Iceland (since 2015) and a Full Professor in Electrical Engineering (since 1996). He holds a Cand. Scient from the University of Iceland (1984), M.S.E.E. (1987), and Ph.D. (1990) from Purdue University. His research focuses on remote sensing, pattern recognition, neural networks, and data fusion. He has held key roles including Pro-Rector for Academic Affairs (2009–2015), Head of Graduate School (2009–present), and Visiting Professorships at the University of Trento and Kingston University. He has advised 9 PhD students and contributed to major editorial roles including Editor-in-Chief of IEEE GRSS journals and membership in prestigious committees. His honors include the IEEE GRSS David Landgrebe Award (2018), IEEE Fellow (2004), and SPIE Fellow (2013). His work spans hyperspectral data analysis, machine learning applications, and geospatial technologies. Key Positions: Rector, University of Iceland | Full Professor (1996–present) Education: Purdue University (Ph.D., 1990), University of Iceland (Cand. Scient, 1984) Research: Remote Sensing, Image Analysis, Biomedical Signal Processing Awards: Over 15 major international accolades including IEEE and SPIE fellowships