Find Academic Supervisors

• Reconfigurable Computing
• Parallel Computing
• FPGA Accelerators
• +4 more

Prasanna Viktor is a Professor of Electrical and Computer Engineering and Computer Science at the University of Southern California (USC), holding the Charles Lee Powell Chair in Engineering. He also serves as Director of the Center for Energy Informatics and has held leadership roles in interdisciplinary research centers such as the USC Infosys Center for Advanced Software Technologies. With a BE from Bangalore University, ME from Indian Institute of Science, and PhD from Pennsylvania State University, he is a globally recognized expert in reconfigurable computing, FPGA accelerators, and parallel computing. His research focuses on high-performance architectures for applications in networking, security, HPC, and machine learning. Over 25 years, he has secured research grants totaling over $50M, including $12.9M from 2016–2021. He has advised over 70 doctoral students and published over 600 papers, earning 22 best paper awards. His work has led to IP cores with improved throughput, latency, and energy efficiency. Prasanna is a Fellow of the IEEE, ACM, and AAAS, and an elected member of Academia Europaea. He has received prestigious awards such as the W. Wallace McDowell Award (2015) and the Distinguished Alumnus Award from IISc (2019). He currently serves as Editor-in-Chief of the Journal of Parallel and Distributed Computing. He leads interdisciplinary efforts in energy informatics and smart oilfield technologies, bridging computer science, engineering, and energy sectors. His contributions include foundational work in reconfigurable computing and FPGA-based accelerators for diverse applications.

• Particle Physics
• Particle Detectors
• Trigger and DAQ Systems
• +3 more

Falciano Speranza is currently Director of Research at the National Institute for Nuclear Physics (INFN) in Italy since 2001. He has held prominent roles such as Vicepresident of INFN and serves on key international committees including ECFA. His research focuses on particle physics, detector systems, and technology transfer. Notable honors include the 2020 Italian Excellence Award and Meritorious Membership in the Italian Physical Society. Director of Research, INFN (2001–present) Scientific Associate at CERN (1998–1999 and 1989–1990) Assistant Professor at ETH Zurich (1982–1983) Research interests span particle physics detectors, trigger systems, computational methods, and interdisciplinary applications. He has contributed to major experiments like the ATLAS detector at CERN's LHC. Awards and recognitions highlight his leadership in physics infrastructure and policy: Member of the Gran Sasso Lab Scientific Committee, Governing Body of GARR Consortium, and Italian delegate to the EPS Council. His work involves collaborations with institutions like the Bruno Kessler Foundation and the University of Sassari, advancing both fundamental physics and applied technologies.

Babiloni FabioView profile

Professor

• Neuroscience
• Biomedical Engineering
• Electroencephalography (EEG)
• +5 more

Fabio Babiloni is a Full Professor of Physiology at Sapienza University of Rome, Italy, and held a concurrent Full Professorship at Hangzhou Dianzi University (2015–2018). His research focuses on neuroscience, biomedical engineering, EEG signal processing, brain-computer interfaces, and mental state estimation through neurophysiological signals. He has held significant editorial roles at IEEE journals and international societies. Notable awards include the 2021–2024 recognition as one of the top 2% cited neuroscientists globally and Italy’s research innovation award (2019). His work emphasizes practical applications like assessing mental workload in aviation controllers, drivers, and virtual reality environments. Research interests span EEG technology advancements, stress and workload biomarkers, and interdisciplinary neuroscientific methodologies. Over 4000 citations highlight his contributions to neurophysiological signal analysis in high-stakes operational contexts. Editorial leadership includes associate editorships at top journals and advisory roles in IEEE EMBS. His lab (Lab NSI) integrates cutting-edge tools for real-world neurophysiological monitoring.

Henri BalView profile

Professor

• Distributed Systems
• Parallel Computing
• High-Performance Computing
• +5 more

Henri Bal is a Full Professor in the Department of Computer Science at Vrije Universiteit Amsterdam's Faculty of Sciences, leading a research group of over 20 members in High Performance Distributed Computing since 2005. His career at the university spans from Research Assistant (1982) to current Professor, with prior appointments including Associate Professor (1994) and split Full Professor roles across Computer Science and Physics (1998). Education: PhD in Computer Science, Vrije Universiteit Amsterdam (1989) MSc in Mathematics, Delft University of Technology (1982) Professor Bal's research integrates fundamental distributed systems with real-world applications, specializing in programming environments for clusters, grids, clouds, and mobile systems. His work spans semantic web reasoning, distributed model checking, and scientific applications in astronomy (LOFAR), high-energy physics (NIKHEF), and climate modeling (Utrecht University), evidenced by systems like Orca, MagPIe, Manta, and Ibis/JavaGAT. Scientific Awards: NWO PIONIER award (1993-1997), comparable to an ERC starting grant Work on Awari recognized in 'The Math Book' as a historic mathematics achievement Multiple first prizes in IEEE International Scalable Computing Challenges (2008, 2010) Two EuroSys Roger Needham PhD awards for his students (2010, 2013) He established foundational Dutch research infrastructure through the NWO DAS project, creating distributed testbeds used by ~100 PhD candidates. As adjunct director of the €40M Virtual Lab for e-Science (2004-2009), he catalyzed the Netherlands eScience Center's formation and participated in EU projects (Gridlab, XtreemOS, Contrail). Currently, he chairs the Department of Computer Science Science committee and explores GPU and smartphone-based distributed systems. His research group actively collaborates with NIKHEF, LOFAR, and Utrecht University on domain-specific applications while advancing hybrid distributed computing frameworks.

• Bayesian Statistics
• Time Series Analysis
• Econometrics
• +3 more

Gregor Kastner is Professor and Deputy Head of the Institute of Statistics at the University of Klagenfurt. His research focuses on Bayesian statistics, time series analysis, econometrics, and computational methods, with applications in finance, economics, and environmental modeling. He develops statistical software including packages for stochastic volatility modeling in R. Kastner's methodological work centers on Bayesian inference for high-dimensional problems, developing efficient computational algorithms for complex models. His applied research examines volatility dynamics in financial markets, macroeconomic forecasting, and spatial analysis of economic indicators. Recent projects include Bayesian nonparametric clustering for evaluating agricultural subsidies in Europe, sparse vector autoregressions for high-dimensional forecasting, and stochastic volatility models for commodity markets. He maintains active collaborations across economics, finance, and environmental science disciplines.

• Sensors Technology
• Electromagnetic Modeling
• Thermal Systems
• +3 more

Roman Beigelbeck is a Researcher at the University for Continuing Education Krems, affiliated with the Center for Modelling and Simulation. He specializes in sensor technology, electromagnetic systems, and thermal modeling. His work focuses on advanced sensor development for applications in energy efficiency, aerospace, and biomedical engineering. Current research includes leading the Correlated Analysis System for in-vivo Inspection of Semiconductor Process Wafers (FFG-funded, 2022–2025). He has contributed to projects like optimizing building energy efficiency via non-invasive sensors and advancing MEMS thermal wind sensor accuracy. His expertise spans computational materials science, electromagnetic shielding, and nanomechanical actuation. Publications highlight contributions to Measurement Science and Technology , IEEE Antennas and Propagation Magazine , and MDPI Sensors . Key topics include electric field sensor design, Faraday cage shielding efficiency, and thermal flow sensor optimization. His lectures include advanced thermal models for LED modules and bulk viscosity sensing at international conferences. Notable collaborations involve FFG-funded projects and academic partnerships, such as TU Wien and TU Sofia. His work bridges theoretical modeling with practical industrial applications, emphasizing innovation in sensor technology and computational methods.

• Augmented Reality
• Virtual Reality
• Manufacturing Systems
• +3 more

Joachim Paul Althaler is a Professor at the University of Applied Sciences Steyr, affiliated with the Research Center Steyr's Center of Excellence for Smart Production. His academic focus centers on advanced manufacturing processes, augmented and virtual reality applications, and design optimization. He has contributed to over 17 peer-reviewed publications since 1996 and holds an h-index of 57 with 3 citations. Research Projects: He co-led the "Human Centered Workplace" project (2016-2021), focusing on workplace innovation and smart production systems. His work explores AR/VR solutions for assembly training, maintenance support, and fracture analysis in materials. Professional Activities: Althaler actively organizes major industry forums, including the "Forum Produktion & Management" from 2018 to 2022, fostering interdisciplinary collaboration in manufacturing and industrial engineering. Labs/Teams: Part of the Smart Automation and Robotics team within the Research Center Steyr, contributing to cutting-edge production technology research.

Sascha HunoldView profile

Associate Professor

• Parallel Computing
• High-Performance Computing (HPC)
• MPI Collective Communication
• +4 more

Sascha Hunold is an Associate Professor at TU Wien, affiliated with the Department of Parallel Computing within the Faculty of Informatics. He holds roles as Vice Dean of Academic Affairs for Informatics Bachelor programs and Curriculum Coordinator for the Master's program in High-Performance Computing. His research focuses on parallel computing, MPI optimization, scheduling algorithms, and reproducible HPC experiments. Education: Habilitation (venia docendi) in Computer Science from TU Wien, PhD in Computer Science from the University of Bayreuth, and MSc in Computer Science from Martin Luther University Halle-Wittenberg. Research interests include MPI collective communication performance, HPC benchmarking, algorithm selection, and task scheduling. He has contributed to tools like ReproMPI and Scheduling.jl. Key awards include Best Paper awards at IEEE CLUSTER 2020 and EuroMPI/Asia 2014, and recognition for reproducible research methodologies. His work emphasizes practical applications of parallel computing in large-scale systems. Teaching responsibilities include courses on parallel algorithms, scientific programming with Python, and HPC project supervision. Active in program committees for major conferences like IPDPS and SC.

• Computer Architecture
• Embedded Systems
• RISC-V
• +5 more

Prof. Daniel Müller-Gritschneder is a Full Professor of Computer Architecture at TU Wien's Institute of Computer Engineering (Faculty of Informatics) since 2024. Previously, he held roles as research group leader at TU Munich's Chair of Electronic Design Automation and acting professor for Real-Time Systems at TU Munich. He earned his Dipl.-Ing. (2003), Dr.-Ing. (2009), and Habilitation (2019) from TU Munich. His research focuses on Electronic System Level Design, RISC-V domain-specific architectures, embedded ML compiler toolchains, functional safety, and hardware security. He collaborates extensively with industry partners like Infineon, Bosch, BMW, and Mercedes. Active in the RISC-V community, he co-initiated the RISC-V Summit Europe and serves on steering committees for conferences such as DAC, ICCAD, and DATE. Key Research Themes: RISC-V ISA extensions and toolchain development Edge AI/ML on embedded systems Secure and safety-critical processor design High-level synthesis and performance simulation Awards: Best Student Paper Award (2024), IEEE Winter Conference on Computer Vision Habilitationspreis (2019), TU Munich Alumni Association Senior IEEE Member (2019) Teaching includes courses like 'High-Level Synthesis', 'Computer Organization', and 'Embedded Systems Design'. Current projects involve lightweight software for IoT devices and pre-silicon validation of safety-critical RISC-V systems. His work bridges academic research with industrial application through collaborative projects and open-source tool development.

• Parallel Algorithms
• Parallel Computing
• High-Performance Computing (HPC)
• +4 more

Prof. Jesper Larsson Träff is a Full Professor and Head of the Research Unit in Parallel Computing at Technische Universität Wien (TU Wien). His academic role is centered within the Department of Computer Engineering. He holds an MSc and PhD, and has contributed extensively to the field of parallel computing through his research and leadership in international projects. His research focuses on parallel algorithms, scheduling, and optimization of the Message Passing Interface (MPI), with emphasis on high-performance computing (HPC) systems and distributed architectures. Key projects include the Process Mapping initiative (2019–2024), Autotune (2021–2025), and contributions to Exascale Programming Models. He has also led efforts in evaluating MPI performance tools and their reproducibility challenges. Research Areas: Parallel Algorithms, MPI Optimization, HPC, Process Mapping, Collective Communication, and Memory Models. Notable Achievements: Awarded the Best Paper at EuroMPI 2014 and recognized by the Innovation Radar for his work on PGAS-based MPI interoperability in 2018. Teaching: Teaches courses such as Advanced Multiprocessor Programming, Bachelor/Master Thesis supervision, and seminars in Computer Engineering and Theoretical Computer Science. Prof. Träff’s advising includes students researching topics like lock-free data structures, MPI datatype optimization, and task scheduling. His grants span Austrian and EU funding bodies, addressing challenges in exascale computing and reproducible experimental research. He is affiliated with the Vienna Mapping and Sparse Quadratic Assignment (Vienna Mapping) project and actively contributes to international workshops and conferences.

• Distributed Databases
• Object-Oriented Databases
• Internet Databases
• +9 more

Erich Neuhold is a Professor of Computer Science at the University of Vienna and Darmstadt University of Technology. He holds honorary professorships at several institutions, including the University of Guiyang and the New Jersey Institute of Technology. His career spans over five decades, with roles as Director of the Fraunhofer Institute for Integrated Publication and Information Systems (IPSI) and professorships at multiple universities globally. Education: Erich Neuhold earned a Dipl.-Ing. (M.S.) in Electronics and a Dr.-techn. (PhD) in Mathematics and Computer Science from the Technical University of Vienna. He holds special honors in his academic career, including Fellowships from IEEE and the Gesellschaft für Informatik. Research Interests: His work focuses on distributed databases, object-oriented systems, internet databases, information retrieval, semantic web, interoperability, and applications in digital libraries, e-science, and e-government. He pioneered advancements in transaction models, multimedia databases, and semantic integration frameworks. Publications: Over 200 papers and four books, with recent contributions including retrospectives on computing history and foundational work in supercomputing architectures. His articles reflect deep engagement with historical and future trends in computer science. Awards: Recognitions include the Meritorious Service Award from IEEE, medals from academic institutions, and honorary professorships worldwide. Grants & Labs: Led projects like the POREL distributed database system and contributed to initiatives like the EU’s FRESCO e-science cockpit. His work spans academic-industrial collaborations, with budget leadership at IPSI (€10M/year). Labs/Teams: Co-founded the Fraunhofer IPSI and directed research teams in Austria, Germany, and internationally, emphasizing interdisciplinary collaboration in information systems.

Markus SteinbergerView profile

Associate Professor

• GPU Computing
• Parallel Algorithms
• Real-Time Rendering
• +5 more

Markus Steinberger is an Associate Professor at Graz University of Technology (TU Graz), leading the GPU Computing and Visualization Group at the Institute for Computer Graphics and Vision. He holds a PhD (2013) and Habilitation (2020) in Computer Science from TU Graz. His research focuses on GPU scheduling, parallel computing, real-time rendering, and procedural content generation. He has held roles including Assistant Professor (2015–2021) and Director of Cloud Rendering at Huawei (2021–present). Education: MSc (2010), PhD (2013), Habilitation (2020) in Computer Science from TU Graz PostDoc and Research Positions: NVIDIA (2013–2014), Max Planck Institute (2015–2017) Research interests include dynamic resource scheduling, GPU algorithms, and high-performance visualization. His work has been recognized with awards such as the GI Dissertation Prize (2014), Eurographics Best Paper (2021), and the Heinz Zemanek Prize. Key Projects: Cloud-native rendering, procedural planet rendering, and GPU-optimized algorithms Advising includes PhD student Karl Haubenwallner. His lab explores cutting-edge techniques in real-time graphics and parallel computing.

Mateo ValeroView profile

Professor

• High performance computers
• Computer architecture
• Parallel computing
• +3 more

Mateo Valero is a full Professor at the Computer Architecture Department of the Technical University of Catalonia (UPC) , and has served as Director of the Barcelona Supercomputing Center (BSC) since 2004. His career spans multiple leadership roles, including Chair of the Computer Architecture Department (2001-2005), Director of CIRI (CEPBA-IBM Research Institute, 2000-2004), and Director of C4 (Catalan Center for Computation and Communications, 1995-2000). He has been an active member of advisory boards and research institutes, including Intel Microprocessor Research Lab (2002-2004). Valero’s research focuses on High-performance computing Computer architecture Parallelism and supercomputing Engineering and information technology integration His work has driven advancements in computational efficiency, national research infrastructure, and international collaboration in technology. Scientific awards and honors include Eckert-Mauchly Award (IEEE/ACM) Spanish National Awards (Julio Rey Pastor, Leonardo Torres Quevedo, King Jaime I) Honorary Doctorates from Chalmers, Belgrade, Las Palmas, and others Founding member of the Royal Spanish Academy of Engineering IEEE and ACM Fellow Intel Distinguished Research Fellow Harry H. Goode Award (2009) Narcís Monturiol Award (Generalitat de Catalunya) Barcelona Prize 2024 (La Vanguardia) Barceloní de l'Any 2024 Award Valero has secured significant research grants, including an ERC Advanced Grant , and his leadership has earned institutional accolades for the UPC, such as the UPC Prize for Quality of University Management as director. He has also contributed to educational innovation initiatives like the Reutiliza program and been recognized for digital design and sustainable development practices .

Gelenbe ErolView profile

Professor

• Neuronal networks
• Machine Learning
• Bio-inspired computing
• +7 more

Erol Gelenbe is a distinguished academic holding positions as Professor at the Polish Academy of Sciences' Institute of Theoretical and Applied Informatics (since 2017) and Visiting Professor at King's College London's Department of Engineering. He has held prominent roles globally, including Dennis Gabor Chair Professor at Imperial College London (2003–2019), University Chair Professor at the University of Central Florida (1998–2003), and Nello L. Teer Professor at Duke University (1993–1998). His academic journey spans institutions in Turkey, France, Belgium, the USA, and the UK. Education: BSc (High Honours) from Middle East Technical University; MSc/PhD from New York University Polytechnic Institute; Doctorat d’État from Université Pierre et Marie Curie (Paris VI). Research Interests: Focuses on neuronal networks, machine learning, bio-inspired computing, computer network design, performance evaluation, and cybersecurity. His work bridges probability theory with computer science and physical sciences. Awards: Recipient of the Mustafa Prize (2018), ACM SIGMETRICS Achievement Award (2008), and multiple national and international honours including France’s Legion d’Honneur and Poland’s Officer of Merit Cross. Editorial Roles: Co-Editor-in-Chief of Springer-Nature Computer Science; Editor for IEEE Transactions on Cloud Computing, Acta Informatica, and others since the 1970s. Students: Mentor to over 95 PhD graduates, many in academic leadership or industry roles. Notable advisees include Jacques Lenfant (President of University of Rennes) and Catherine Rosenberg (President of University of Grenoble). His contributions have earned him membership in prestigious academies, including Academia Europaea, the French National Academy of Engineering, and foreign memberships in Belgian, Polish, and Hungarian academies. He holds honorary doctorates from Université de Liège, Bogaziçi University, and the University of Rome II.

Leandar LitovView profile

Professor

• Particle Physics
• Quantum Field Theory
• High Energy Physics
• +6 more

Prof. Leandar Litov is a Professor in Nuclear and Particle Physics at the Faculty of Physics, University of Sofia "St. Kliment Ohridski". He serves as Team Leader of the Sofia University team in CMS collaboration at CERN and chairs the Board of the SEEIIST Association. Established Master's in Nuclear and Particle Physics Co-founder of Bulgarian National Center for Supercomputing Applications Initiator of Bulgarian Ion Therapy Center project His research spans experimental particle physics, computational biophysics, and medical physics. He has participated in CMS, NA48, NA49, and NA62 experiments, focusing on rare decays and detector simulation. Recent publications highlight his work on Higgs boson properties (2012-2019), dark photon searches, and computational biophysics applications like heparin's anti-inflammatory effects in COVID-19 (2020). 1200+ publications, 75,000+ citations h-index: 123 (INSPIRE), 105 (Scopus) Notable awards include: Double JINR First Prize (1986, 1990) CERN Council membership "Pythagoras" National Awards (2010, 2013)