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.
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.
Lukas Gnam holds the position of Lecturer and Researcher at the University of Applied Sciences Burgenland's Energie-Umweltmanagement department. His work focuses on energy transition challenges, particularly in renewable energy integration, district heating optimization, and smart energy systems. He has co-authored over 49 publications, emphasizing interdisciplinary approaches to energy system modeling, user-centric energy management, and decarbonization strategies. Key projects include studies on wind power utilization in district heating networks, socially-accepted home energy management systems, and P2P energy trading models. His research combines technical innovation with socio-economic analysis, addressing both infrastructure upgrades and end-user behavior. Collaborations involve institutions like 4ward Energy Research GmbH and TU Wien, focusing on projects such as BEYOND, Empower Citizens, and Hybrid DH DEMO. Gnam's work often employs mixed-integer linear programming and co-simulation tools (e.g., MATLAB/IDA-ICE) to evaluate energy system performance under diverse scenarios. Publications highlight advancements in thermal storage pooling, fossil fuel reduction via PV integration, and long-term heating demand forecasting considering demographic shifts. His projects aim to bridge gaps between technical feasibility and societal acceptance in achieving climate-neutral energy systems.
Heiko Breitsohl serves as Professor and Head of the Institute for Organization, Personnel and Service Management at Alpen-Adria-Universität Klagenfurt, Austria. His academic leadership spans organizational behavior, human resources management, and industrial psychology with significant contributions to presenteeism research and methodological advancements in structural equation modeling. His research portfolio encompasses: Industrial and Organizational Psychology Human Resources Management systems Corporate Volunteering dynamics Employee Retention strategies Presenteeism and Absenteeism phenomena Structural Equation Modeling applications Survey Design and Empirical Social Research Analysis of his 15 most recent publications reveals sustained focus on workplace attendance behaviors, particularly presenteeism, with methodological rigor in scale development (e.g., Workplace Attendance Behavior Legitimacy Scale) and experimental designs. His 2021 collaborative paper in Industrial and Organizational Psychology emphasized critical synergy between substantive theory and methodological precision in organizational research. Scientific Awards: No major scientific awards listed in available sources Details regarding doctoral student supervision and research grant funding are not specified in current institutional profiles, though his leadership role implies oversight of research activities within the Institute. His ORCID and ResearchGate profiles indicate active scholarly engagement through publications and academic collaborations. As Head of Institute, Breitsohl directs research initiatives focused on organizational behavior measurement, employee well-being, and quantitative methodological innovations, maintaining strong connections with international research communities through co-authored publications with scholars across Europe and North America.
Jean Chamberlain Chedjou is an Associate Professor at the Department of Smart System Technologies within the Faculty of Technical Sciences at Alpen-Adria University Klagenfurt, Austria. His 30+ year career spans appointments at universities in Cameroon, Germany, Italy, and France, with current research focused on nonlinear dynamics, neurocomputing, and traffic systems. He holds a Dr.-Ing. from Leibniz University of Hanover and achieved Habilitation at Alpen-Adria University in 2014. His educational background includes: Bachelor in Physics, University of Yaoundé (1990) Master in Electronics, University of Yaoundé (1992) Doctorate (Doctorat de troisième cycle) in Electronics, University of Yaoundé (1999) Dr.-Ing. in Electrical Engineering, Leibniz University of Hanover (2004) Habilitation, Alpen-Adria University Klagenfurt (2014) Dr. Chedjou's research centers on Nonlinear Dynamics and Neurocomputing , with critical applications in analog computing for differential equation solving, traffic telematics, and chaotic circuit design. His work bridges theoretical analysis of multistable systems with practical microcontroller-based implementations, particularly in inertial Hopfield neural networks and coupled oscillator networks. Recent expansions include machine learning applications for diabetes prediction and battery health monitoring. Analysis of his 2024-2025 publications reveals dominant trends in multiscroll chaotic attractors, hyperchaotic circuit design with three+ positive Lyapunov exponents, and experimental validation through Arduino/microcontroller platforms. A significant shift toward healthcare applications (diabetes prediction, health monitoring) using neural network architectures is evident alongside continued work on traffic modeling and semiconductor device physics. Scientific recognition includes: DAAD Research Fellowship (2003-2004) AUF Research Fellowship (2005-2006) Ausgezeichnete Lehre teaching award from Alpen-Adria University As a dedicated mentor, Dr. Chedjou has supervised numerous Master's and PhD theses in nonlinear systems and traffic informatics. His research is supported by international fellowships and evidenced through extensive editorial service including Springer co-edited volumes, IEEE conference committees, and reviews for top journals like IEEE Transactions on Circuits and Systems. He actively contributes to curriculum development through university commissions. Current work occurs within the Department of Smart System Technologies laboratory, focusing on hardware implementations of chaotic systems and transportation informatics. Collaborations span the Abdus Salam International Centre for Theoretical Physics (ICTP) and French/German institutions, with emphasis on translating theoretical models into physical electronic systems.
Doris Oberdabernig is a Professor of Economics with a focus on Environmental Economics at the University of Innsbruck's Department of Public Finance within the Faculty of Economics and Statistics . She coordinates the affiliated Research Center «Innsbruck Decision Sciences» and leads a research team comprising Patrick Tomberger and Linh Nguyen. Her work emphasizes quantitative methods such as econometrics, computable general equilibrium (CGE) modeling, and applied policy analysis. Her research interests center on environmental and energy economics, particularly methane and carbon footprint analysis, global supply chain integration, and sustainability metrics. She has contributed to studies on emission convergence, European Union energy policies, and the link between economic growth and environmental impacts. Her work frequently employs panel data methodologies and Bayesian structural models. Notable publications include analyses of methane emission patterns across nations, energy trade networks, and the environmental implications of global value chains. She has also addressed socioeconomic topics like educational mobility of migrants, IMF lending dynamics in Sub-Saharan Africa, and welfare policy impacts on immigration attitudes. Dr. Oberdabernig is affiliated with the Institute of Public Finance and maintains an active profile in research seminars and academic service. Her research combines rigorous quantitative approaches with policy relevance, addressing pressing issues in climate change mitigation, sustainable development, and global economic integration.
Hubert Missbauer is a Full Professor for Production and Logistics Management at the University of Innsbruck. He holds a Diploma (1982) and Doctorate (1986) in Business Administration from the University of Linz, with a Habilitation in Business Administration (1994) focusing on manufacturing planning systems. His research emphasizes production planning concepts, workload control, and optimization in manufacturing systems, particularly in steel production. He co-organizes the International Working Seminar on Production Economics and serves on the editorial board of the International Journal of Production Economics . Research interests include order release optimization, production scheduling in steel industries, and quantitative methods in operations management. Recent work focuses on Lagrangian decomposition algorithms, behavioral perspectives in workload control, and integrated scheduling in steel production processes. He has published extensively in top-tier journals like International Journal of Production Research and European Journal of Operational Research . Education: University of Linz (Diploma 1982, PhD 1986, Habilitation 1994) Affiliations: Institute for Information Systems, Production and Logistics Management at University of Innsbruck Key Projects: Steel production scheduling, iterative LP-simulation algorithms, behavioral studies in manufacturing control Editorial Roles: Guest Editor for International Journal of Production Economics since 2020 His work bridges theoretical models (e.g., clearing functions, transient analysis) with practical applications in industries like steelmaking and construction. Recent presentations include discussions on Lagrangian approaches at the INFORMS Annual Meeting (2024) and EURO conferences.
Univ.-Prof. Robert Sitzenfrei holds a professorship in the Department of Environmental Engineering at the University of Innsbruck. His research focuses on advancing smart water infrastructure through interdisciplinary applications of graph theory, artificial intelligence, and IoT technologies. He leads the Environmental Engineering Section, addressing challenges in water distribution systems resilience, leakage management, and urban drainage network optimization. Key research interests include: Graph-based methodologies for critical infrastructure analysis Explainable AI applications in water demand forecasting Smart sensor integration for real-time network monitoring Resilience enhancement of interdependent water systems Optimization of decentralized urban water networks Recent work emphasizes digital twin development for water systems, leveraging hydraulic modeling and machine learning to improve infrastructure reliability. Collaborations include the Smart Water Campus initiative, a real-world testbed for integrated smart water solutions. His contributions bridge computational methods with practical urban water challenges, addressing both technical and socio-technical aspects of resource management.
Dr. Rudolf Sailer is a Lecturer and Academic Coordinator (BSc/MSc) at the Department of Geography, University of Innsbruck. His research focuses on Remote Sensing, Topographic LiDAR, and Mountain Environmental Changes, with a particular emphasis on glaciology, rockfall dynamics, and permafrost processes. He actively contributes to courses such as Statistical Exercises and coordinates bachelor's thesis seminars. Research interests include glacier mass balance, aerodynamic roughness modeling, and geomorphological processes in alpine environments. His work integrates multi-scale remote sensing data (e.g., Sentinel, LiDAR) and field observations to quantify environmental changes. He has collaborated on projects analyzing the Rofental research basin and the Khumbu Himal in Nepal. Recent publications address glacier mapping, rockfall activity, and snow cover dynamics using advanced remote sensing techniques. His lab, Remote Sensing & Topographic LiDAR, emphasizes interdisciplinary approaches to mountain environmental challenges.
Boaz Blankrot is a Researcher at TU Wien's Forschungsbereich Scientific Computing and Modelling. His work focuses on computational design and optimization of nanoscale photonic and metamaterial structures. He has contributed to areas such as deterministic optimization of photonic crystals, dielectric metamaterial design, and power flow optimization in inclusion structures. His research integrates applied mathematics, computational electromagnetics, and materials science to advance optical and nanophotonic systems. Key publications include studies on aperiodic demultiplexers, automated photonic crystal design, and energy-efficient metamaterial configurations. Blankrot collaborates with experts like Clemens Heitzinger, emphasizing interdisciplinary approaches to solve complex engineering problems. His work is published in peer-reviewed journals and conference proceedings, reflecting a strong focus on both theoretical and applied aspects of photonics and nanotechnology.
Alexander Haberl is a Researcher at TU Wien, affiliated with the Department of Numerical Analysis (Forschungsbereich Numerik). He holds degrees including Dipl.-Ing., Dr.techn., and BSc. His research focuses on adaptive numerical methods, computational efficiency, and finite element methods. He has contributed to the development of adaptive algorithms for nonlinear operators and boundary element methods (BEM), emphasizing optimal convergence rates and computational cost analysis. Key research areas include adaptive finite element methods (FEM), boundary element methods, and iterative solvers for nonlinear systems. His work addresses challenges in scientific computing, such as designing algorithms with provable optimality properties and minimizing computational resources. Haberl has collaborated extensively with Dirk Praetorius, Stefan Schimanko, and others on projects involving inexact solvers and preconditioned conjugate gradient (PCG) methods. Publications highlight contributions to monotone operators, Helmholtz equation solutions, and electrostatic capacity computations on complex geometries. His research bridges theoretical numerical analysis and practical computational engineering, with applications in structural mechanics and wave propagation. Haberl’s advising includes Michael Innerberger, who explored instance optimality in adaptive FEM. He is part of TU Wien’s Network Lab and actively contributes to conferences and workshops on adaptive methods and numerical algorithms.
Harald Hofstätter is affiliated with the Institute of Theoretical Physics at TU Wien. His primary research focuses on developing and analyzing computational methods for quantum systems, particularly adaptive integrators and splitting methods for nonlinear evolution equations. He collaborates extensively on projects involving electronic structure computations, many-body quantum systems, and time-dependent Schrödinger equations. Key areas of expertise include exponential integrators, Magnus-type methods, and error estimation techniques. He has contributed to applications in solar energy conversion, Bose-Einstein condensates, and semiconductor physics. Hofstätter's work emphasizes efficient numerical algorithms for high-dimensional systems and adaptive time-stepping strategies. He participates in interdisciplinary projects such as the Network Lab at TU Wien, focusing on computational quantum dynamics and solar cell simulations. His recent publications address topics like chaos-induced coherence loss in condensates and non-existence proofs for certain splitting methods with positive coefficients.
Zsolt Horvath is a researcher at TU Wien's Engineering Hydrology Research Section (Forschungsbereich Ingenieurhydrologie). His work focuses on advanced hydrological modeling, flood risk management, and computational fluid dynamics. He specializes in developing high-resolution simulation frameworks for urban/rural flash floods and river flooding, leveraging GPU acceleration and numerical methods like the Saint-Venant system. Expertise: Flood modeling, computational hydrology, geospatial analysis, climate impact studies Key Projects: HORA 3.0 flood risk zoning, interactive flood visualization tools, Kepler shuffle GPU algorithms
Andreas Bauer is affiliated with the Institut für Analysis und Scientific Computing at TU Wien, part of the Faculty of Mathematics and Geoinformation. He holds a Dipl.-Ing. (Diploma Engineer) and Dr.techn. (Doctor of Technical Sciences) degree. His research focuses on interdisciplinary applications of mathematical modeling in biomedical engineering, cardiovascular systems, and public health. Bauer collaborates extensively with institutions like the Network Lab and has contributed to projects involving computational biology, pharmacokinetics, and neuroimaging. Research interests include: Model-based analysis of arterial pulse waves and circadian rhythms in cardiovascular systems Development of microsimulation approaches for mental health burden prediction Evaluation of compartment models for pharmaceutical agents like infliximab Multi-tracer PET neuroimaging studies of serotonergic systems His work spans 2010-2019 with notable contributions in: Cardiovascular parameter validation using oscillometric measurements Comparison of radial/brachial pressure waveform analysis Agent-based modeling for mental health pathways Web-based platforms for simulation education No scientific awards were explicitly mentioned in the profile. Collaborative projects include work with Prof. Breitenecker on modeling methodologies and Prof. Wassertheurer on cardiovascular dynamics. Active involvement in TU Wien's Network Lab supports interdisciplinary research initiatives.
Anita Gerstenmayer is a researcher affiliated with the Institut für Analysis und Scientific Computing at Technische Universität Wien (TU Wien) . Her work focuses on mathematical modeling and numerical analysis of cross-diffusion systems and biomedical engineering applications. She holds a Dipl.-Ing. (Master of Engineering) and a Dr. techn. (PhD) in technical sciences. Her research interests span partial differential equations , ion transport modeling , and computational fluid dynamics , with recent emphasis on degenerate cross-diffusion systems in chemistry and biomedical contexts. She has developed numerical schemes (finite-volume/element methods) for ion transport problems and pioneered arterial wave propagation models for estimating aortic blood pressure. Her 2019 work advanced finite-volume schemes for cross-diffusion systems, while earlier studies (2014–2015) explored cardiovascular dynamics through 1D arterial models. Collaborations with Prof. Ansgar Jüngel and Siegfried Wassertheurer highlight interdisciplinary strengths in applied mathematics and biomechanics. No scientific awards are listed, but her contributions to numerical methods and biomedical modeling are prominent in peer-reviewed publications.
