Find Academic Supervisors

Giovanni De MicheliView profile

Professor

• Computer Architecture
• Electrical Engineering
• Integrated Systems
• +5 more

Giovanni De Micheli is a Professor of Electrical Engineering and Computer Science at EPF Lausanne, Switzerland. He also serves as Director of the Integrated Systems Centre and the Institute of Electrical Engineering at EPFL, and chairs the Scientific Committee of CSEM in Neuchatel. Previously, he held academic roles at Stanford University for 18 years, including Full Professor, Associate Professor, and Assistant Professor in the Department of Electrical Engineering. His research spans synthesis of digital circuits, hardware/software co-design, low-power design, and Networks on Chip (NoC) technology. 2003: IEEE Emanuel Piore Award 2000: Golden Jubilee Medal of the IEEE CAS Society 2000: ACM Fellow 1994: IEEE Fellow 1990: IEEE/CS Distinguished Service Award 1988: NSF Presidential Young Investigator Award His seminal contributions include pioneering C-based synthesis and Boolean matching algorithms for digital circuits, foundational work in dynamic power management using stochastic control, and the development of Network-on-Chip (NoC) technology. His publications, such as "Networks on Chips: A New SoC Paradigm" and "Dynamic Power Management for Portable Systems" , have shaped modern SoC design practices. With over 400 technical articles, 9 books, and an H-index of 56, his work remains highly influential.

• Analog and mixed-signal integrated circuit design
• Computer-aided design (CAD) of electronic circuits
• Design automation (EDA)
• +5 more

Georges Gielen is Full Professor in the Department of Electrical Engineering (ESAT) at KU Leuven, Belgium, and part-time Research Director at imec. He has held multiple leadership roles including Chair of ESAT Department (2012-2013, 2020-2024) and Vice-Rector for Science, Engineering & Technology (2013-2017). His academic career spans over 30 years at KU Leuven, progressing from Assistant to Full Professor. His research focuses on analog and mixed-signal integrated circuit design automation , with expertise in CAD tools, design optimization, sensor interfaces, and neuromorphic systems. His work bridges hardware design with machine learning, particularly in hardware-efficient AI implementations and biomedical applications. He has pioneered techniques for automated analog circuit sizing, topology synthesis, and reliability-aware design in nanometer CMOS. Gielen has received numerous accolades including the IEEE CAS Mac Van Valkenburg Award (2015), IEEE CAS Charles Desoer Award (2020), and EDAA Achievement Award (2021). He holds an ERC Advanced Grant AnalogCreate and is an IEEE Fellow since 2002. As a prolific scholar, he has chaired major conferences including DATE (2006), ICCAD (2007), and ESSCIRC (2017). He has graduated over 55 PhD students through the MICAS research group at KU Leuven, currently supervising 13 doctoral candidates. His research team collaborates extensively with imec and industry partners on cutting-edge projects in carbon-aware AI accelerators, uncertainty-aware design, and neuromorphic sensor interfaces.

Manolis G.H. KatevenisView profile

Professor

• Computer Architecture
• VLSI Systems
• Interconnection Network Architecture
• +4 more

Manolis G.H. Katevenis is a Professor at the Department of Computer Science, University of Crete, and Deputy Director and Head of the Computer Architecture and VLSI Systems (CARV) Laboratory at the Institute of Computer Science (ICS), Foundation for Research & Technology - Hellas (FORTH). He co-founded the European Research Center on Computer Architecture (EuReCCA) and is a founding partner of the European Network of Excellence on High-Performance and Embedded Architecture and Compilation (HiPEAC). PhD in Computer Science from University of California, Berkeley (1983) Co-founder of EuReCCA (2011) Contributed to RISC architecture (1980-1983), interconnection networks (1985-2011), and parallel computing (1993-2010) His research spans Scalable Multicore Systems , Interconnection Network Architecture , Packet Switch Design , Computer Architecture , and VLSI Systems . He has made foundational contributions to per-flow queueing, backpressure mechanisms, and wormhole IP over ATM, with applications in internet routers, data centers, and supercomputers. His publications focus on high-radix crossbar switches, flow control algorithms, and explicit interprocessor communication. Notable scientific awards include: ACM Doctoral Dissertation Award (1984) David J. Sakrison Memorial Prize (1983) IBM PhD Fellowship (1981-1983) Greek State Fellowship (1973-1978) He has supervised 40 graduate theses and participated in 22 R&D projects totaling €9M, including HiPEAC (coordinator of interconnection networks), SARC (FPGA prototype design), and ENCORE (cache-optimized remote DMA). His work has received over 2000 citations, with an h-index of 23.

• Antenna Design
• Microwave Engineering
• Dielectric Materials
• +2 more

Wolfgang Bösch is a Professor at Graz University of Technology's Institute of Microwave and Photonic Engineering, specializing in advanced RF components and measurement techniques. His research advances high-frequency systems through innovations in antenna technology and electromagnetic theory. Research domains include: metamaterial-based antennas, precision measurement calibration, microwave filter optimization, and 3D-printed RF components. Recent work demonstrates strong focus on millimeter-wave systems and reconfigurable antenna arrays. Publications highlight expertise in: machine learning for filter design, metasurface applications, PCB transitions for high-frequency systems, and uncertainty quantification in RF engineering. Research consistently addresses miniaturization and performance optimization challenges. Awards recognize contributions to measurement science and antenna design: Fellow of IET, Houska Prize, and best paper awards. Current laboratories investigate liquid crystal antenna systems and error calibration methodologies for next-generation wireless systems.

• Model-Based Testing
• Automata Theory
• Machine Learning
• +5 more

Bernhard Aichernig is an Associate Professor at the Institute of Software Engineering and Artificial Intelligence. His work bridges formal methods, model-based testing, and artificial intelligence, with a focus on automata learning, digital twins, and AI-assisted programming. Institution: Institute of Software Engineering and Artificial Intelligence Key Research Areas: Model-Based Testing, Automata Learning, AI-Driven Verification His research explores the integration of machine learning into formal verification, enabling scalable testing of complex systems like IoT devices and reinforcement learning agents. Recent projects include AI-Augmented DevOps frameworks (AIDOaRT) and digital twin validation (LearnTwins). Notable scientific awards include multiple best paper recognitions at SEFM (2020, 2021) and the TAYSIR Competition first place (2023). His publications emphasize hybrid approaches combining genetic programming, SMT solving, and neural networks for system modeling. 2025 : AI-assisted programming, timed automata via domain knowledge 2024 : Stochastic environment modeling, Git system learning 2023 : Reinforcement learning under partial observability, digital twins for VPN servers He actively contributes to testing frameworks like AALpy and investigates explainable AI for fault diagnosis in cyber-physical systems.

• Cybersecurity
• Blockchain
• Machine Learning
• +12 more

Edgar Weippl is a Professor at the Faculty of Computer Science, University of Vienna, where he serves as Vice Dean and Head of the Research Group Security and Privacy. His work spans cybersecurity, blockchain, and machine learning, with teaching roles in information security and software security courses. Current Positions: Vice Dean (Faculty of Computer Science), Head (Security and Privacy Research Group), Deputy Head (Neuroinformatics & Knowledge Engineering Groups) Research Interests: Cybersecurity, blockchain, IoT security, code obfuscation, privacy technologies, reinforcement learning, and socio-technical systems security Selected Publications: Focus on blockchain privacy, VoWiFi security, code obfuscation, and reinforcement learning applications

• Computational Logic
• Declarative Logic Programming
• Answer-Set Programming
• +5 more

Hans Tompits is an Associate Professor in the Department of Knowledge-Based Systems at Technische Universität Wien (Vienna University of Technology). His research focuses on computational logic, declarative logic programming, and formal methods, with a particular emphasis on Answer-Set Programming (ASP). He coordinates the Master's program in Logic and Computation and leads projects in areas such as formal methods for optimization, fault-tolerant autonomous systems, and algorithmic composition. His work bridges theoretical advancements with practical applications, including tools like SeaLion (an ASP IDE with debugging support) and dlvhex (an ASP-based semantic web reasoner). He has contributed to foundational topics like program equivalence, debugging techniques, and integration of ASP with external systems. His recent projects address challenges in autonomous vehicle architectures, music composition algorithms, and safety-critical system design. Tompits has published extensively on topics ranging from nonmonotonic reasoning and modal logics to the development of declarative programming tools. His interdisciplinary approach spans computer science, mathematics, and AI, with applications in both academic and industrial contexts.

Zhang ChuanzengView profile

Professor

• Acoustic and elastic wave propagation
• Mechanics of smart materials and structures
• Phononic crystals and wave control
• +7 more

Professor Chuanzeng Zhang is a renowned academic currently serving as Professor (C4) and Chair of Structural Mechanics at the Department of Civil Engineering, University of Siegen, Germany. He has held leadership roles including Head of the Department of Civil Engineering (2015–present) and Director of the Institute of Structural Engineering (2007–2010). With a habilitation from Technical University Darmstadt and a PhD from Northwestern University, his research spans acoustic wave propagation, computational mechanics, and multifunctional materials. Education : PhD (Dr.-Ing.) from Northwestern University (USA), Habilitation from Technical University Darmstadt (Germany), Diploma (Dipl.-Ing.) from Technical University Darmstadt. Key Roles : Guest Professor at multiple Chinese institutions (Harbin Institute of Technology, Tongji University), Vice-President of the International Chinese Association for Computational Mechanics. Research interests include: Mechanics of smart materials and structures Wave propagation in phononic crystals Fracture mechanics in composite materials Computational methods for anisotropic solids Surface and interface effects in nanomaterials Multifunctional and functionally graded materials Recent Publications : His work focuses on advanced computational methods for wave propagation, fracture analysis, and smart materials, with applications in phononic crystals, piezoelectric composites, and functionally graded structures. Honors & Awards : 2015: Du Qinghua Medal for Computational Methods 2015: Member of European Academy of Sciences and Arts 2015: Honorary Doctorate from Slovak University of Technology 2014: Member of European Academy of Sciences Leadership & Collaborations : Led Senate Commissions, Research Advisory Committees, and DVM Working Groups. Maintains strong academic ties with institutions in China and Germany.

Ammar MostafaView profile

Professor

• Computer Network Architectures
• Mobile Cloud Computing
• Overlay Networks
• +7 more

Mostafa Ammar is a Regents' Professor and Interim Chair of the School of Computer Science at the Georgia Institute of Technology. He has held leadership roles including Associate Chair (2006–2012) and has been a faculty member since 1985. His research focuses on network architectures, protocols, and services, with contributions to mobile cloud computing, network virtualization, and disruption-tolerant networks. He has advised 39 Ph.D. students and secured funding from agencies like NSF, DARPA, and industry partners such as Cisco and IBM. Education : S.B. and S.M. from MIT, Ph.D. from the University of Waterloo. Research Interests : Network architectures, mobile cloud computing, overlay networks, video streaming, and network simulation. His work bridges theoretical advancements with practical implementations, emphasizing scalable and efficient network solutions. Publications : Over 214 publications with a focus on network virtualization, mobile edge computing, and distributed systems. Recent work explores encrypted traffic analysis and femto-cloud resource sharing. Awards : ACM/IEEE Fellowships (2002–2003), Best Paper Awards (2012, 2018), and multiple teaching excellence recognitions. Service : Editor-in-Chief of IEEE/ACM Transactions on Networking (1999–2003), conference co-chair roles, and steering committee memberships. Advising & Grants : Mentored 39 Ph.D. students and secured multi-million-dollar grants. His research has influenced industry standards and academic curricula. Labs/Teams : Active in Georgia Tech’s networking research groups, contributing to open-source network simulators and collaborative projects with global institutions.

• Formal Methods
• Software Verification
• Concurrent Systems
• +6 more

Thomas Henzinger is a Professor at the Institute of Science and Technology Austria (ISTA), where he leads the Henzinger Thomas Group focused on improving software reliability through mathematical methods. He previously served as ISTA's President (2009–2022) and held academic positions at EPFL, Max Planck Institute, UC Berkeley, and Cornell University. Education: Dipl.-Ing. in Computer Science (Johannes Kepler University, Austria), M.S. in Computer and Information Sciences (University of Delaware), PhD in Computer Science (Stanford University), and Honorary Doctorates from Fourier University (France) and Masaryk University (Czech Republic). The group's research spans concurrent systems , embedded systems , quantitative model checking , runtime monitoring , and trustworthy AI . They develop tools like HyTech and VAMOS, emphasizing predictability, robustness, and fairness in safety-critical software. Recent publications highlight trends in quantitative automata , fairness in AI , quantum algorithms , and automata theory , reflecting interdisciplinary applications from cyber-physical systems to neural networks. Collaborative projects include SPyCoDe (security foundations) and VAMOS (software monitoring). Honors & Awards: 2024 Fellow of the Royal Society 2020 Member, US National Academy of Sciences 2015 Royal Society Milner Award 2012 Wittgenstein Award 2006 ACM and IEEE Fellow 1995 NSF CAREER and ONR Young Investigator Awards Henzinger advises current and former PhD students including Mahyar Karimi, Pavol Kebis, and Mathias Lechner. His grants include ERC Advanced Grants (QUAREM, VAMOS) and FWF funding (Wittgenstein Award, NFN RISE). Labs & Teams: He leads the Henzinger Thomas Group at ISTA, collaborating with FORSYTE (TU Wien) and contributing to EU-funded initiatives. The group integrates postdocs, PhD students, and interns in formal methods and system verification.

Shah NawazView profile

Assistant Professor

• Machine Learning
• Computer Vision
• Multimodal Systems
• +3 more

Shah Nawaz is an Assistant Professor at the Institute of Computational Perception , Johannes Kepler University Linz. His research focuses on multimodal systems, deep learning applications in healthcare, and cross-modal learning frameworks. He leads projects addressing challenges like missing modalities in machine learning, face-voice association, and medical image analysis. Key research interests include machine learning for medical diagnostics (e.g., breast cancer detection, skin lesion segmentation), speech recognition, and adaptive neural network architectures. He has contributed to frameworks like Chameleon for robust multimodal learning and the FAME challenge for face-voice association in multilingual environments. Publications emphasize practical applications, such as bilingual healthcare chatbots for pregnant women and light-weight speech recognition models for resource-constrained systems. His work bridges theoretical advancements and real-world deployment in healthcare and security domains. Shaw Nawaz actively participates in academic communities through workshops like DaQuaMRec@RecSys2025 and has developed open-source frameworks for image restoration and multimodal fusion. His lab focuses on scalable solutions for multimodal data challenges in both technical and clinical contexts.

Jean PonceView profile

Professor

• Computer Vision
• Machine Learning
• Robotics
• +3 more

Jean Ponce is a Professor of Computer Science at Ecole Normale Superieure (ENS) in Paris and a Part-Time Global Distinguished Professor at New York University's Courant Institute of Mathematical Sciences and Center for Data Science (CDS). He previously served as Director of the ENS Computer Science Department (2011-2017) and held positions at Inria (2017-2022), University of Illinois at Urbana-Champaign (1998-2006), MIT, Stanford, and Inria (1982-1985). Academic Leadership: Scientific Director of PRAIRIE Interdisciplinary AI Research Institute in Paris Startup Involvement: Co-founder and CEO of Enhance Lab (2022) Editorial Roles: Senior Editor-in-Chief of International Journal of Computer Vision (2019-2022) Conference Leadership: Chair of IEEE CVPR (1997,2000), ECCV (2008), and upcoming ICCV (2023) Research Focus: Computer vision, machine learning, robotics, and AI with applications in exoplanet imaging, 3D reconstruction, and image quality assessment. His work bridges statistical learning and deep learning approaches. Awards: IEEE Fellow (2003) ELLIS Fellow (2019) ERC Advanced Grant (2011) IEEE CVPR Longuet-Higgins Prizes (2016,2020) ICML Test-of-Time Award (2019) Patents & Publications: Co-author of influential textbook Computer Vision: A Modern Approach (translated into Chinese, Japanese, Russian). Holds two US patents and one pending French patent. Google Scholar h-index of 78 with over 55,000 citations.

• Artificial Intelligence
• Recommender Systems
• Information Systems
• +2 more

Dietmar Jannach is a Full Professor at the University of Klagenfurt, Austria, affiliated with the Institute for Artificial Intelligence and Cybersecurity where he leads the Research Group for Information Systems. His academic roles include membership in the university's Senate and Curricular Commissions for Liberal Arts and Information Management. His research spans: Core Areas : Artificial Intelligence, Recommender Systems, and Software Engineering. Methodological Focus : Algorithm reproducibility, fairness in AI, sequential recommendations, and hybrid learning models. Emerging Interests : Generative AI for group decision support, ethical recommender systems, and foundation model applications. Jannach's recent publications critically evaluate reproducibility challenges in AI research, advocate for calibrated recommendations to mitigate bias, and explore agentic paradigms in group recommender systems. He emphasizes real-world validation, with studies on deployment challenges and developer experiences in software processes. He actively contributes to academic governance and mentors through research groups, though specific student advisees are not listed. Contact via Dietmar.Jannach@aau.at .

Jürgen TeichView profile

Professor

• Embedded system design
• Hardware/software co-design
• Design space exploration
• +6 more

Jürgen Teich is a Professor at the Department of Computer Science of Friedrich-Alexander University Erlangen-Nuremberg since 2003, holding the Chair for Hardware/Software Co-Design. He has held academic positions at ETH Zurich (Lecturer, 1995-1998), University of Paderborn (Full Professor in Computer Engineering, 1998-2002), and UC Berkeley (Postdoctoral Fellow, 1994). Current coordinator of DFG-funded Collaborative Research Center 89 'Invasive Computing' (2010-present) Former coordinator of DFG Priority Program 1148 'Reconfigurable Computing Systems' (2003-2009) Senior IEEE Member and author of two Springer textbooks on Co-Design (2007, 2010) Research Interests : Embedded systems and hardware/software co-design Massively parallel computing architectures Design automation and optimization techniques Reconfigurable computing systems Scientific Recognition : 5+ Best Paper Awards (2002-2010) HiPEAC Paper Awards at DAC and FCCM (2009-2010) Elected reviewer for DFG (2004-2008, 2007-2011) Prof. Teich supervises over 30 PhD students and participates in interdisciplinary DFG projects and industrial collaborations. He has served on multiple program committees of leading conferences in computer architecture and embedded systems.

Luca BeniniView profile

Professor

• Embedded Systems
• Low Power Design
• System-on-Chip
• +7 more

Luca Benini is a Full Professor of Electronics at the University of Bologna's Department of Electrical, Computer and Systems Engineering. He also holds a Visiting Faculty Position at the Ecole Polytechnique Federale de Lausanne (EPFL) and serves as Chief Architect of the Platform 2012 project at STMicroelectronics in Grenoble, France. His educational background includes academic positions progressing from Assistant Professor (1998) to Associate Professor (2001) and finally Full Professor (2006) at the University of Bologna. He has held significant industry positions including IC Architecture and CAD Engineer at Integrated Information Technology Inc. (1994), Senior Member of R&D Staff at Synopsys Inc. (1996), and Visiting Researcher at Hewlett Packard Laboratories (1997-2004). Professor Benini's research focuses on designing systems for ambient intelligence, spanning multi-processor systems-on-chip, networks on chip, and energy-efficient smart sensors and sensor networks. His work has expanded into biochips for biological molecule recognition, bioinformatics, and advanced algorithms for in-silico biology. His expertise in low-power design of integrated circuits and systems earned him IEEE Fellow status in 2007. He has received multiple honors including best paper awards at IEEE GLS-VLSI and the European Wireless Sensor Networks Conference (both 2008), with three of his papers featured in 'Design Automation and Test in Europe - The Most Influential Papers of 10 Years' (Springer 2008). IEEE Fellow (2007) for contributions to design technologies for low power design Member of ARTEMISIA Steering Board (elected twice) Member of European Design and Automation Association Main Board Member of MEDEA+ EDA roadmap committee Member of EC Advisory group on Computing Systems Benini has held significant leadership roles in the academic community, serving as General Chair of the IEEE/ACM Design Automation and Test in Europe Conference (2009), DATE Program Chair (2005), and Program Chair for multiple specialized symposia. He serves as associate editor for several prestigious journals including IEEE Transactions on Computer-Aided Design and ACM Transactions on Embedded Computing Systems, and has organized influential workshops like the Dagstuhl Seminar on Power-Aware Computing Systems.