جست‌وجوی استاد و پژوهشگر

Helge Holdenمشاهده پروفایل

استاد

• Hyperbolic conservation laws
• Differential equations
• Flow in porous media
• +۳ مورد دیگر

Helge Holden is a Professor at the Norwegian University of Science and Technology since 1991, with prior roles as Associate Professor there (1986-1990) and Adjunct/Visiting Professor at the University of Oslo (2002-2015), Simula Research Laboratory (2001-2005), and University of Missouri-Columbia (1996-1997). His career spans nonlinear partial differential equations, particularly hyperbolic conservation laws, completely integrable systems, and stochastic analysis. Holden earned his Dr. Philos. from the University of Oslo in 1985 under R. Høegh-Krohn. His research has led to over 100 journal publications, six coauthored monographs, and 12 coedited books, with a focus on mathematical physics applications to traffic flow, fluid dynamics, and porous media. His recent work examines stochastic perturbations in PDEs, nonlocal conservation laws, and numerical methods for nonlinear systems. Articles highlight collaborations on the Camassa-Holm equation, Hunter-Saxton models, and Korteweg-de Vries discretizations, reflecting interdisciplinary approaches to data-driven modeling and stability analysis. Scientific Awards : Knight 1st Class of the Royal Norwegian Order of Saint Olav (2024) Gunnerus Medal (2022) Fellow of TWAS (2020) Doctor honoris causa (2017) Member of European Academy of Sciences (2009) Member of Norwegian Academy of Science and Letters (1999) Holden has held leadership roles in international mathematical organizations, including Secretary General of the International Mathematical Union (2015-2022) and chair of the Abel Prize Committee (2023-2026). He coauthored influential works on conservation laws and coedited the Abel Prize series.

• Electric Vehicle Infrastructure
• Optimization Algorithms
• Smart Grids
• +۳ مورد دیگر

Univ.-Doz.Dipl.-Ing.Dr. Hermann Kaindl is affiliated with the Center for Distributed Systems and Sensor Networks at the University for Continuing Education Krems. His work focuses on optimizing electric vehicle (EV) charging infrastructure and resource allocation through advanced algorithms. He leads projects funded by the FFG (Austrian Research Promotion Agency), including 'Dynamically Optimizing the Allocation of e-cars to Charging Sites' (2022-2025). Research interests include optimization algorithms, smart grids, and sensor networks. His recent publications explore genetic algorithms for EV charging schedules, anytime algorithms for EV assignment, and dynamic resource allocation strategies. He collaborates with researchers like Sallinger, Kammerhofer, and Hoch on projects addressing EV infrastructure challenges. No academic awards or grants are explicitly listed, but his active project leadership demonstrates significant contributions to applied energy research. He is based in Wiener Neustadt and reachable via hermann.kaindl@donau-uni.ac.at. His work bridges theoretical optimization methods with practical implementations in transportation and energy systems.

Ewa Weinmüllerمشاهده پروفایل

دانشیار

• Numerical Analysis
• Scientific Computing
• Differential Equations
• +۳ مورد دیگر

Ewa Weinmüller is a retired (i.R.) Associate Professor at Vienna University of Technology (TU Wien), affiliated with the Institute for Analysis and Scientific Computing (E 101). She specializes in numerical analysis, focusing on singular boundary value problems, differential-algebraic equations (DAEs), and computational methods for engineering and physics applications. Her work emphasizes collocation techniques, error estimation, and adaptive grid strategies for solving complex ODEs and DAEs. Education: Ewa holds a Dipl.-Ing. in Mechanical Engineering from TU Poznan (1950) and TU Wien (1974). She earned her PhD in Technical Mathematics (1975) and Habilitation in Numerical and Applied Mathematics (1979), both from TU Wien under supervision of Hans J. Stetter. She has been a leading figure in her field since 1987. Research Interests: Numerics of stiff and singular evolution equations, collocation methods for singular BVPs, and software development (e.g., BVPSUITE). Her contributions span aerospace applications (laser-based space debris deflection), computational physics, and numerical stability analysis of stiff systems. Publications: Over 100 peer-reviewed papers, including work on whispering gallery modes, self-similar blow-up solutions, and post-Newtonian corrections in space laser communications. Her research bridges theoretical rigor and practical implementation in computational tools. Awards: Recipient of TU Wien's Best Distance Learning Award (2020) and Best Teacher Award (2017), reflecting her dedication to education alongside research. Software Contributions: Developer of BVPSUITE 2.0, a MATLAB package for solving singular BVPs and DAEs, supporting pathfollowing and continuation methods with adaptive grid control.

• Computer Vision
• Machine Learning
• Visual Computing
• +۴ مورد دیگر

Rafael Sterzinger is a PreDoc Researcher at the Institute of Visual Computing and Human-Centered Technology within TU Wien's Faculty of Informatics. Holding a BSc and MSc from ETH Zurich, he teaches courses in Computer Vision and Machine Learning for Visual Computing while pursuing his PhD. Education MSc in Computer Science, ETH Zurich BSc in Computer Science, ETH Zurich Research Interests Sterzinger's work centers on Computer Vision and Visual Computing , specializing in segmentation techniques for historical documents, cultural heritage artifacts, and WiFi-based sensing applications. His research integrates human-in-the-loop systems with deep learning for refinement tasks, explores reinforcement learning for building automation, and develops domain adaptation methods for cross-scenario human activity recognition. Key domains include Etruscan art digitization, through-wall imaging, and historical map analysis. Research Trends Analysis of Sterzinger's 2023-2025 publications reveals three dominant threads: (1) Few-shot segmentation for historical materials using foundation models, (2) Human-guided refinement pipelines that merge algorithmic precision with user input, and (3) Wireless sensing applications leveraging WiFi channel state information for through-wall imaging and activity recognition. His work consistently addresses data scarcity through innovative adaptation techniques while maintaining real-world applicability in cultural heritage and smart infrastructure. Projects EtMirA (2021-2027): Through-Wall Imaging Based on WiFi Channel State Information Blindsight (2023-2025) MAIJA (2024-2025): Closing the Gap in Human Behavior Analysis via Trimodal Data Synthesis KIIS (2021-2023): Deep Segmentation for Extracting Art from Ancient Etruscan Mirrors Advising and Grants No advisees are documented. Sterzinger participates in multiple externally funded projects including EtMirA's €1.2M infrastructure grant for cultural heritage digitization and MAIJA's interdisciplinary initiative synthesizing audio-visual-tactile data for behavior modeling, demonstrating sustained grant acquisition in visual computing domains.

Francesco Paolo Battagliaمشاهده پروفایل

استاد

• Computational neuroscience
• Systems neuroscience
• Learning and memory
• +۳ مورد دیگر

Francesco Paolo Battaglia is a Full Professor at the Donders Centre for Neuroscience, Radboud University Nijmegen, Netherlands. He has held previous academic positions including Associate Professor (2013-2020) and Assistant Professor (2006-2012), with ongoing contributions to computational neuroscience and memory research. Education: PhD in Cognitive Neuroscience (1998) from SISSA, Italy Master in Physics (1994) from University of Rome La Sapienza His research focuses on neuronal networks of memory, hippocampal function, neurophysiology, and computational modeling of neural systems. He has pioneered work on grid cells and spatial cognition frameworks. Scientific Awards: ERC Advanced Grant (2019) Neuron Top 30 Paper Recognition (2018) Neurotech-NL Plan Recognition (2015) Nobel Prize 2014 Citation Contribution Prix la Recherche (2010) He has secured over €6 million in funding through grants including ERC REPLAY-DMN (€2.38M), NWO TOP Exact Sciences (€750K), and EU-MSCA Postdoctoral Fellowship (€180K). Supervised 6 postdocs, 9 PhD students, and 10 Master students at Donders Institute.

Miodrag Mihaljevicمشاهده پروفایل

استاد پژوهشی

• Cryptology
• Information Security
• Blockchain Technology
• +۱۲ مورد دیگر

Miodrag Mihaljević is a Research Professor at the Mathematical Institute , Serbian Academy of Sciences and Arts (Belgrade, Serbia) since 1999, and serves as Deputy Director of the Institute and Head of the National Center for Cyber Security and Privacy . He has held visiting positions at institutions including The University of Tokyo (1997-2023), AIST (2006-2013), and Chuo University (2013-2014), with a focus on cryptology and information security. BSEE (1979), University of Belgrade MS (1981) and Ph.D. (1990) in Electrical Engineering His research spans Cryptology , Blockchain Technology , Information Security , and Coding Theory , with significant contributions to symmetric key cryptography, stream ciphers, LPN problem analysis, broadcast encryption, and lightweight authentication protocols. His work addresses applications in IoT, cloud computing, and smart grid security, often integrating blockchain for data integrity and access control. Recent publications highlight blockchain-enabled solutions for smart contract vulnerability detection (2025), cross-chain identity authentication (2025), and secure inference in IoT (2025). Earlier works focus on cryptographic attacks (e.g., fast correlation, algebraic attacks) and security frameworks for software-defined radio and cloud systems. Scientific recognition includes the Serbian Academy of Sciences and Arts Award (2013), JSPS Fellowship (1998), and consistent inclusion in the World's Top 2% Scientists (2020-2024). He has led projects on cryptographic techniques for information security (2002-2019) and holds multiple international patents in encryption/decryption systems.

May-Britt Moserمشاهده پروفایل

استاد

• Neuroscience
• Spatial Memory
• Cognitive Neuroscience
• +۲ مورد دیگر

May-Britt Moser is a Professor at the Norwegian University of Science and Technology (NTNU) and Founding Director of the Centre for Neural Computation (2013–2022). She co-founded the Kavli Institute for Systems Neuroscience (2007) and the Centre for the Biology of Memory (2003–2012). Her research focuses on the neural basis of spatial location, memory, and cognition, notably the discovery of grid cells in the entorhinal cortex with Edvard Moser and John O'Keefe. PhD in Neurophysiology, University of Oslo (1995) Her work explores the functional organization of grid-cell circuits and their role in hippocampal memory. Recent publications address neural dynamics , spatial coding , and environmental influences on brain circuits. Key Awards : 2014: Nobel Prize in Physiology or Medicine 2014: Karl Spencer Lashley Award 2013: Louisa Gross Horwitz Prize 2012: Perl-UNC Neuroscience Prize 2011: Louis-Jeantet Prize for Medicine Her lab leads projects like Moser Group , KiloNeurons , and Centre for Algorithms in the Cortex , advancing understanding of brain computation and memory systems.

Bouguettaya Athmanمشاهده پروفایل

استاد

• Service Computing
• Internet of Things (IoT)
• Cloud Computing
• +۴ مورد دیگر

Athman Bouguettaya is a Professor at the School of Computer Science, University of Sydney, Australia. He previously served as Head of School at RMIT University and the University of Sydney. His academic journey includes tenured roles at Virginia Tech (USA) and senior positions at Queensland University of Technology. He is an IEEE Fellow, ACM Distinguished Scientist, and recipient of the IEEE TCSVC Research Innovation Award. Education: PhD in Computer Science from the University of Colorado at Boulder (1992). Research focuses on service computing, IoT, cloud computing, and drone services. Notable contributions include frameworks for drone delivery systems, energy-efficient IoT services, and trust management in crowdsourced systems. His work spans 280+ publications in top venues like IEEE TKDE and ACM TWeb. Awards include WISE Fellow (2019), ACM Distinguished Speaker (2019), and IEEE Computer Society Distinguished Visitor (2020). Grants include major funding from ARC, NSF, Qatar NPRP, and industry partnerships with HP/Sun Microsystems. He directed the E-Commerce and E-Government Research Lab (ECEG) and chairs editorial boards for IEEE Transactions on Services Computing and others. Labs/Teams: ECEG Lab, leadership roles in CSIRO ICT Centre, and advisory roles in conferences like ICSOC and WISE.

Massimo Vergassolaمشاهده پروفایل

استاد

• Physics of living systems
• Fluid dynamics
• Continuum mechanics
• +۳ مورد دیگر

Massimo Vergassola is a Professor at École Normale Supérieure-PSL (ENS-PSL) in Paris and Director of the ENS-PSL Center for Quantitative Biology. His research bridges physics and life sciences, focusing on the physics of living systems with emphasis on embryonic development , animal behavior , and biological navigation . He holds a joint appointment as CNRS Directeur de Recherche and leads initiatives at the PariSanté Campus Val-de-Grâce, integrating institutions like Inserm and Inria. Education: Laurea in Physics (University La Sapienza, Rome, 1985-1990); PhD in Physics (University Nice-Sophia Antipolis, 1990-1993); Post-doc at Princeton University (1994-1995) His research spans fluid dynamics , statistical physics , and biophysics , addressing problems like olfactory navigation , chemotaxis , cell size control , and mitotic wave dynamics . Recent work explores Bayesian search strategies in turbulent flows and topological interactions in developmental biology. His 15 most recent articles reveal a focus on olfactory search algorithms , embryonic patterning , gene regulation , and turbulent transport . Keywords include Biophysics , Computational Biology , and Nonlinear Dynamics . Scientific Awards : APS Fellow, APS Outstanding Referee, CNRS Bronze Medal, Fondation de France Thérèse Lebrasseur Prize, EADS Grand Prix, and Accademia dei Lincei student award Vergassola contributes to academic governance via editorial boards ( Physics Reports , JSTAT ) and grant committees (Human Frontier Science Project). His lab at ENS-PSL collaborates with institutions like Harvard Center for Quantitative Biology and Pasteur Institute.

Carlo Corinaldesiمشاهده پروفایل

پژوهشگر

• Sustainable Energy Systems
• Electromobility
• Energy Economics
• +۳ مورد دیگر

Dipl.-Ing. Dr.techn. Carlo Corinaldesi is affiliated with TU Wien's Department of Energy Economics and Energy Efficiency within the Research Unit Energy Economics and Energy Efficiency (E370-03). His research focuses on sustainable energy systems, electromobility, and smart grid technologies. He contributes to projects addressing decentralized energy systems optimization, sector coupling, and prosumer dynamics in energy transition contexts. Key research interests include energy flexibility markets, electric vehicle integration, cost-benefit analysis of charging infrastructure, and grid stability enhancement through EVs. His work explores innovative business models for aggregated flexibility in European electricity markets and the socio-technical aspects of local energy communities. Recent publications emphasize real-time trading algorithms, portfolio optimization of end-user flexibilities, and the economic viability of residential car-sharing models. He collaborates on projects analyzing transmission congestion mitigation and market potentials for new flexibility products in continental Europe. Corinaldesi's contributions span technical reports on algorithm scalability, forecasting methodologies, and dynamic interfaces between aggregators and energy management systems. His research bridges theoretical frameworks with practical implementations in energy policy and market design.

• Cloud Computing
• High-Performance Computing (HPC)
• Energy-Efficient Systems
• +۴ مورد دیگر

Ivona Brandić is a University Professor for High Performance Computing Systems at TU Wien's Institute of Software Engineering and Interactive Systems. Born in Gradačac, Bosnia and Herzegovina, she moved to Austria in 1992 as a refugee during the Bosnian War. She earned a master's degree (2002) and doctorate (2007) in business computer science from TU Wien and completed her habilitation in applied computer science there in 2013. Her career includes roles as an assistant professor (University of Vienna, 2002–2007) and postdoctoral researcher (University of Melbourne, 2008). She transitioned to a tenure-track position at TU Wien in 2014 and became a full professor in 2016. Brandić’s research focuses on cloud computing, energy-efficient ultra-scale systems, and hybrid quantum-classical computing. She has been recognized with the MiA Award (2011), the Austrian Science Fund's Start-Preis (2015), and membership in the Austrian Academy of Sciences' Young Academy (2016). Her work emphasizes sustainable computing, edge systems, and optimizing resource management for distributed applications. Education: Bachelor's degree in Business Informatics (University of Vienna/TU Wien) Master's in Business Computer Science (University of Vienna, 2002) PhD in Applied Computer Science (TU Wien, 2007) Habilitation in Practical Computer Science (TU Wien, 2013) Research Interests: Brandić’s work spans cloud computing, energy efficiency in HPC systems, edge computing, and quantum-classical hybrid systems. She explores autonomic resource management, distributed system resilience, and sustainability in ultra-scale infrastructures. Her projects often address real-world applications like drug design, environmental monitoring, and smart energy grids. Publications: Her 2009 paper Cloud Computing and Emerging IT Platforms is a seminal work in the field. Recent publications focus on quantum-edge integration, energy optimization in AI models, and adaptive edge analytics frameworks. These contributions highlight trends toward sustainable, distributed, and hybrid computational paradigms. Awards: 2011: MiA Award for distinguished contributions by international backgrounds 2015: Austrian Science Fund’s Start Prize 2016: Austrian Academy of Sciences Young Academy Membership Advising & Grants: Brandić leads research groups and has secured grants for projects like NESSUS (energy-efficient cloud systems) and CHIST-ERA’s SDCDN (distributed networks). She mentors students in HPC, edge computing, and quantum systems. Advised topics include workload scheduling, fault tolerance, and energy-aware algorithms. Labs & Teams: She directs research on autonomic cloud management, edge intelligence frameworks (e.g., Sea-LEAP, FRESCO), and quantum-classical workflow systems (RIGOLETTO). Her teams collaborate internationally, integrating academia and industry for scalable, sustainable solutions.

Hikaru Ibayashiمشاهده پروفایل

پژوهشگر

• Machine Learning
• Deep Learning
• Neural Networks
• +۳ مورد دیگر

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.

• Data Accessibility
• Urban Microgrids
• Smart Cities
• +۳ مورد دیگر

Oliver Hödl is a Professor at FH JOANNEUM UNIVERSITY OF APPLIED SCIENCES (Research Center Hagenberg), affiliated with the Center of Excellence Energy. His work focuses on energy systems, data accessibility in smart cities, and innovative LEGO-based engineering projects. He leads research in urban microgrids and energy data infrastructure through projects like EDDIE. Education: Dipl.-Ing. (Master of Engineering), Dr. (Doctorate) Research interests include: - Developing frameworks for energy data interoperability - Integrating tactile interfaces with music technology - Designing citizen-centric energy literacy tools His 2023-2025 publications explore: - Smart city energy systems - LEGO-based prototyping for education - Pan-European energy data governance Scientific contributions: 7 peer-reviewed outputs, 2 citations Current project (2023-2026): Leading the EDDIE project ($\sim$6M EU funding) focusing on distributed energy data infrastructure. Labs/Teams: Involved in Hagenberg's Energy Research Group and LEGO Engineering Innovation Lab.

• Dynamical Systems
• Nonlinear Dynamics
• Neurocomputing
• +۴ مورد دیگر

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.

Zsolt Horvathمشاهده پروفایل

پژوهشگر

• Flood Risk Management
• Hydrological Modeling
• Computational Fluid Dynamics
• +۳ مورد دیگر

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