Find Academic Supervisors

• Compilation
• High-level Synthesis
• Domain-specific Languages
• +4 more

João Manuel Paiva Cardoso is a Full Professor at the Department of Informatics Engineering, Faculty of Engineering, University of Porto, and a research member of INESC TEC. He currently serves as Department Director and Chairman of the Department Council for the Department of Informatics Engineering. His educational background includes: Electronics Engineering degree from the University of Aveiro (1993) MSc in Electrical and Computer Engineering from the Technical University of Lisbon (1997) PhD in Electrical and Computer Engineering from the Technical University of Lisbon (2001) His research focuses on compilation and high-level synthesis techniques, domain-specific languages, reconfigurable computing, and hardware/software codesign. He has co-authored over 200 scientific publications including a Springer book, two edited Springer books, and three LNCS volumes. His conference leadership roles include General Chair for IEEE ASAP'2023 and FPL'2013, demonstrating significant contributions to reconfigurable computing and embedded systems domains. He has coordinated major research projects such as the EU FP7 REFLECT project (2010-2012) as co-scientific coordinator and the H2020 FET-HPC ANTAREX project as technical manager, alongside nationally funded initiatives. He holds senior memberships in IEEE and ACM, and is a member of the IEEE Computer Society.

• Hardware Security
• Cryptography
• Lightweight Cryptography
• +4 more

Michael Tempelmeier is a researcher at the Chair of Information Security, Technical University of Munich (TUM), specializing in hardware security and cryptographic implementations. His work focuses on authenticated encryption, lightweight cryptography (NIST LWC/CAESAR), and the development of evaluation frameworks for cryptographic hardware. He actively contributes to teaching, holding the Zertifikat Hochschullehre der Bayerischen Universitäten and leading courses like Angewandte Kryptologie and SmartCard Projektpraktikum . Tempelmeier's research centers on optimizing and securing cryptographic implementations for embedded systems. Key areas include: Design of hardware APIs for lightweight cryptography Side-channel and fault-attack countermeasures Trusted hardware gateways for IoT devices Efficient benchmarking methodologies for cryptographic hardware His publications demonstrate consistent focus on hardware vulnerabilities, cryptographic efficiency, and standardized evaluation frameworks. He maintains active involvement in tool development (e.g., MaskVer for detecting flawed masking implementations) and contributes to major projects like the Hardware API for Lightweight Cryptography. No awards or direct student supervision are mentioned in the provided text.

• Parallel computer architecture
• Hardware/software codesign
• Edge learning of neural networks
• +3 more

Yicheng Zhang is a Researcher at the Technical University of Munich within the School of Computation, Information and Technology , specifically affiliated with the Department of Computer Engineering . He works under the IH02 Chair of Computer Architecture and Operating Systems (CAOS) and the I10 Chair of Computer Architecture and Parallel Systems (CAPS). Research Focus: Parallel computer architecture, Hardware/software codesign, Edge learning of neural networks Teaching: Courses include Computer Architecture (INHN0003), Operating Systems, Hardware Design Languages, Ethics for Nerds, and History of Computer Science His publications focus on edge learning of recurrent neural networks (RNNs) and scalable hardware architectures for neural network training. Zhang actively seeks students for guided research projects related to manycore architectures for irregular parallelism.

Christian HakertView profile

Researcher

• Non-volatile memory
• Operating Systems
• System Design
• +3 more

Christian Hakert is a Researcher in the Department of Computer Science 12 at TU Dortmund University's Faculty of Computer Science. He is part of the Design Automation for Embedded Systems research group, located in Room E20 at Otto-Hahn-Str. 16, 44227 Dortmund. Dr. Hakert's research focuses on computer systems with particular expertise in: Non-volatile memory technologies Operating Systems design and implementation System Design methodologies Hardware-Software Codesign approaches Extreme Resource Constrained Systems Software-Only Hardware Management techniques His work appears to focus on the intersection of hardware and software systems, particularly in embedded contexts where resource constraints are critical factors in system design. The research has significant implications for developing efficient computing solutions in environments with severe limitations on processing power, memory, or energy.

Donatella SciutoView profile

Professor

• Embedded systems
• Multiprocessor System on Chip
• Reconfigurable systems
• +5 more

Donatella Sciuto is a Full Professor in Computer Engineering at the Department of Electronics and Information of Politecnico di Milano, where she conducts research in System Architectures. She serves as Deputy Director of Education at CEFRIEL, managing executive company education training programs. Her academic career spans multiple leadership roles in professional organizations including the Council of EDA (CEDA) where she served as VP of Finance (2008-2009) and is currently President Elect. Her research focuses on embedded systems design methodologies, with particular expertise in Multiprocessor System on Chip, reconfigurable systems, hardware/software co-design, and design space exploration techniques. She leads the Embedded Systems Design and Design Methodologies research group (sagroup.elet.polimi.it) and has contributed significantly to the field of Electronic Design Automation. Her publication record shows a consistent focus on reconfigurable computing and MPSoC design, with recent work emphasizing dynamic reconfiguration techniques, hardware/software synchronization in multiprocessor systems, and optimization algorithms for heterogeneous architectures. Her research demonstrates a progression from foundational work in embedded systems to more complex system-level design methodologies for modern reconfigurable architectures. She has held editorial positions with prestigious journals including IEEE Transactions on Computers, Journal of Design Automation of Embedded Systems, and IEEE Embedded Systems Letters. She has served on program committees for major conferences including DAC, ICCAD, DATE, and CODES+ISSS, and has held leadership roles including Publications Chair for IEEE/ACM ESWEEK 2007 and Co-General Chair of ESWEEK 2009. Prof. Sciuto has advised more than 10 PhD students and currently mentors 4 PhD candidates at Politecnico di Milano. She teaches courses in Computer Architecture, Operating Systems, and High Performance Processors and Systems. She has published 5 teaching books in Italian across multiple editions and maintains active research collaborations through European and national research projects she coordinates.

Thidapat ChantemView profile

Associate Professor

• Real-time systems
• Embedded systems
• Cyber-physical systems
• +7 more

Thidapat (Tam) Chantem is an Associate Professor in the Bradley Department of Electrical and Computer Engineering at Virginia Tech. He is affiliated with the Virginia Tech Research Center - Arlington and leads the RTX Lab. His research focuses on real-time systems, cyber-physical systems (CPS), and embedded systems security. He holds a Ph.D. from the University of Notre Dame (2011), M.S. from the same institution (2008), and a B.S. from Iowa State University (2005). His work integrates hardware-software co-design principles to address challenges in low-power computing, energy-aware system design, and secure embedded systems. Key projects include developing scheduling frameworks for CPS security, GPU-based real-time DNN inference, and vehicular edge computing solutions. He has secured grants from NSF and industry partners to advance time-sensitive CPS design and emergency response systems. His publications span ~150 articles since 2006, emphasizing real-time scheduling, embedded security, and traffic optimization. Notable contributions include DARIS (GPU spatio-temporal scheduling) and SGPRS (periodic deep learning workload management). He actively collaborates on NSF-funded projects like the Semi-Automated Emergency Response System (CPS Synergy grant). Professional service includes reviewing for top-tier journals/conferences and organizing workshops on real-time systems security. His RTX Lab develops solutions for connected vehicle systems, CPS trustworthiness, and energy-efficient multiprocessor architectures.

Cüneyt F. BazlamaçcıView profile

Professor

• Communication and Computer Networks
• Computer Systems Architecture
• Hardware Optimization
• +5 more

Prof. Cüneyt F. Bazlamaçcı is a Professor in the Computer Engineering Department at İzmir Institute of Technology (IZTECH). He holds a B.Sc. and M.Sc. from Middle East Technical University (1988, 1991) and a Ph.D. in Computing from the University of Manchester (1996). His academic career includes roles at METU (1992–2020) before joining IZTECH in 2020. His research focuses on Communication and Computer Networks, Computer Systems Architecture, Graph Algorithms, and Embedded Systems. Notable contributions include patents on IP lookup architectures and publications in journals like Microprocessors and Microsystems and IEEE Transactions . He has advised over 40 graduate students, with topics ranging from FPGA-based systems to network optimization. His work spans network-on-chip design, reconfigurable computing, and cloud resource allocation. Projects include TÜBİTAK-funded research on low-voltage distribution systems and METU DSIM benchmarking studies. Prof. Bazlamaçcı teaches advanced courses in optimization, computer networks, and architecture. His research integrates algorithm design, hardware/software co-design, and parallel computing for real-world applications.

• Artificial Intelligence
• Telecommunication Networks
• Energy Efficiency
• +5 more

Hergys Rexha is a Postdoctoral Researcher at Åbo Akademi University's Faculty of Science and Engineering, specializing in the Department of Information Technology. His work contributes to UN Sustainable Development Goals related to sustainable shipping and energy efficiency. Rexha has been involved in projects such as FuSE: Future Shipping Electrified (2023-2025) and FUDGE-5G: Fully Disintegrated private networks for 5G verticals (2020-2023), focusing on AI-driven solutions for maritime logistics and 5G networks. His research spans Artificial Intelligence , Telecommunication Networks , Energy Efficiency , and Edge Computing . Key areas include computational offloading for low-power devices, explainable AI in medical imaging, and runtime systems for stream processing. Rexha holds a PhD in Computer Science from Åbo Akademi University (2023), where his doctoral thesis addressed energy-aware runtime systems. Rexha has authored over 12 publications, including works on neural networks for breast cancer segmentation and AI in green shipping. His datasets, such as the SODD – Subaquatic Object Detection Dataset , support edge AI applications in underwater environments. Collaborations span international institutions, emphasizing interdisciplinary approaches to sustainable technology.

Marcus PirronView profile

Researcher

• Cyber-Physical Systems
• Programming Languages & Verification
• Algorithms & Theory
• +3 more

Marcus Pirron is a Researcher at the Max Planck Institute for Software Systems (MPI-SWS), focusing on research in algorithms, programming languages, and cyber-physical systems. His work spans areas such as robotic systems, autonomous driving, and software verification. He actively contributes to interdisciplinary projects combining hardware and software co-design, formal verification techniques, and safety-critical systems. His research interests include Cyber-Physical Systems , Programming Languages & Verification , Robotics , and Autonomous Driving . Key themes in his publications include the development of testing frameworks for autonomous systems, automated configuration synthesis, and formal methods for robotic interactions. Marcus' recent work emphasizes Paracosm —a framework for testing autonomous driving simulations—and PGCD —a system for robot programming and verification. His articles often address challenges in concurrency, safety, and the integration of geometry and dynamics in robotic applications. Despite his prolific output, no specific awards, grants, or student advisement details are explicitly mentioned in the provided materials.

Marian ALEXANDRUView profile

Associate Professor

• Mobile Communications
• IoT
• Microwaves
• +5 more

Marian ALEXANDRU is an Associate Professor in the Department of Electronic and Computers at the Faculty of Electrical Engineering and Computer Science, Transilvania University of Brașov. His research focuses on mobile communications, IoT systems, microwave technologies, and cybersecurity. He has developed remote laboratory platforms and contributed to SDR-based solutions for satellite and IoT applications. His work emphasizes practical experimentation, with notable contributions in secure access control systems and embedded multitasking frameworks. Research Interests: Mobile Communication Evolution (3G/4G/5G) IoT Gateway Architectures Software-Defined Radio (SDR) Applications Cybersecurity for Wireless Networks Remote Laboratory Systems Key Projects: Developed an SDR-based satellite gateway for IoT applications Designed an antidrone wireless personal shield Created experiment-supported mobile apps for activity monitoring using neural networks Dr. Alexandru has authored multiple textbooks including Communications, RF and Microwave Fundamentals and Mobile Communications and Mobile Computing: Evolution from 3G to 4G . His work bridges theoretical concepts with hands-on remote experimentation, emphasizing practical education in telecommunications engineering.

Xingfu WuView profile

Research Professor

• High-performance computing
• Performance modeling and analysis
• Energy and power modeling and analysis

Xingfu Wu is a Research Professor of Computer Science affiliated with Argonne National Laboratory (ANL). He holds a Ph.D. in Computer Science from Beijing University of Aeronautics and Astronautics and M.S. and B.S. degrees in Mathematics from Beijing Normal University. His research focuses on high-performance computing, performance modeling and analysis, and energy-efficient computing. Education: Ph.D. in Computer Science, Beijing University of Aeronautics and Astronautics, Beijing, China M.S. in Mathematics, Beijing Normal University, Beijing, China B.S. in Mathematics, Beijing Normal University, Beijing, China Research Interests: Xingfu Wu's research is centered around high-performance computing, performance modeling and analysis, and energy and power modeling. His work emphasizes optimizing parallel systems, developing frameworks for performance prediction (e.g., MuMMI), and enhancing energy efficiency in high-performance computing environments. Scientific Awards: Best Paper Award, 14th IEEE International Conference on Computational Science and Engineering (CSE-2011), 2011 Second Place, Beijing Science and Technology Advancement Awards, 1997 Labs/Teams: Wu contributes to research at Argonne National Laboratory, particularly through initiatives like the MuMMI framework for performance modeling and analysis.

Georgi GaydadjievView profile

Professor

• Reconfigurable Computing
• Advanced Computer Architectures
• Parallel Memory Systems
• +7 more

Georgi Gaydadjiev is a Professor in Innovative Computer Architecture at the University of Groningen's Faculty of Science and Engineering. Previously, he held roles including Chair Professor at TU Delft and Chalmers University of Technology, and served as VP of Dataflow Software Engineering at Maxeler Technologies. He holds a PhD from TU Delft and has over 35 years of industry and academic experience, focusing on reconfigurable computing, high-performance systems, and energy-efficient architectures. His research spans embedded systems, fault tolerance, and scalable architectures. Education: MSc Electrical Engineering (TU Delft), PhD (TU Delft), studies at Voenmeh (Baltic State Technical University). Research interests include reconfigurable computing, advanced architectures, parallel systems, and HPC. He leads projects funded by EU, Google, and Swedish Research Councils, addressing exascale computing and customized hardware. His work has been recognized with awards like the CES Design Showcase (1999) and best paper awards at ICS'10 and WiSTP'07. He advises PhD students and oversees labs like Maxeler IoT-Labs BV, focusing on deploying dataflow technology beyond data centers.

Ronald F. DeMaraView profile

Professor

• Computer Systems Architecture
• Machine Learning Hardware
• Reconfigurable Computing
• +2 more

Ronald F. DeMara is a Professor in the Department of Electrical and Computer Engineering at the University of Central Florida's College of Engineering and Computer Science. He holds a Ph.D. in Computer Engineering from the University of Southern California (1992). His research focuses on adaptive hardware systems, energy-efficient computing architectures, and educational innovations in STEM fields. Current research explores machine learning accelerators, hardware security, and reconfigurable computing fabrics. He leads projects on adaptive rate/resolution designs for spectral signal acquisition and probabilistic spin logic for low-energy computing. DeMara's publication trends focus on hardware-software co-design, educational technology innovations, and emerging memory technologies. Recent work integrates AI/ML techniques with hardware optimization for applications ranging from cybersecurity education to efficient neural network implementations. Honors include: Online Learning Consortium Effective Practice Award (2018) IEEE Outstanding Engineering Educator (2008) Multiple Teaching Incentive and Research Incentive Awards He directs educational initiatives including the Digitally-Mediated Team Learning project and Digitizing STEM Assessments program, securing funding from NSF, Semiconductor Research Corporation, and technology grants.

Ingo SanderView profile

Professor

• Embedded Systems Design
• Models of Computation (MoCs)
• Mixed-Criticality Systems
• +3 more

Ingo Sander is a Professor in Electronic Systems Design at KTH Royal Institute of Technology, affiliated with the Digital Futures Faculty and the Division of Electronics and Embedded Systems. He joined KTH in 1993 and has held his current professorship since 2018. His research focuses on formal system design methodologies like ForSyDe, emphasizing embedded systems, mixed-criticality applications, and design automation. He co-founded the cross-disciplinary Digital Futures research center, which addresses societal challenges through digital technology innovation. Education: MSc in Electrical Engineering (Technical University of Braunschweig, 1990), PhD and Docent at KTH (2003, 2009). Professional experience includes work at Ericsson (1991–1993). Research Interests: Design methodologies for embedded systems, models of computation (MoCs), formal verification, and cyber-physical systems. Key contributions include the ForSyDe framework and design space exploration techniques for multiprocessor platforms. His work bridges theoretical foundations with practical implementations, targeting safety-critical and high-performance embedded systems. Teaching: Ingo Sander supervises numerous master’s degree projects in computer engineering, electrical engineering, and ICT innovation. He leads courses on embedded software, systems design, and simulation. Labs & Projects: Digital Futures collaborates with Stockholm University and RISE, advancing innovations in digital technologies. Sander’s projects include the SAFEPOWER initiative for energy-efficient mixed-criticality systems and CONTREX for control systems design.

Selma SaidiView profile

Professor

• Embedded Systems
• Real-Time Systems
• Autonomous Systems
• +5 more

Prof. Dr. Selma Saidi serves as a full Professor and head of the Institute of Computer and Network Engineering (IDA) at the Technical University of Braunschweig, a leading TU9 institution renowned for engineering excellence. She leads both academic and research operations within IDA while maintaining active industry collaborations. Educational Background: PhD in Computer Engineering from University of Joseph Fourier, Grenoble, France (conducted between VERIMAG research institute and STMicroelectronics R&D department) Research Focus: Her work pioneers intelligent computing systems requiring guaranteed connectivity, real-time performance, and safety. Current efforts target collective decision-making paradigms for autonomous systems in complex environments, addressing data timeliness over infrastructure, trustworthiness enhancement, and collaborative aggregation mechanisms. She bridges theoretical formal methods with practical hardware-software implementations. Academic Leadership: Teaches Hardware Software Codesign, Introduction to Electronic Systems, and Studienseminar Computer Engineering. Directs the Saidi Research Group which integrates cross-disciplinary concepts from philosophy and sociology to solve societal challenges through technology transfer.