Find Academic Supervisors

• Embedded Systems
• FPGA Design
• Fault Tolerance
• +5 more

Johnny Öberg is an Associate Professor at the Division of Electronics and Embedded Systems, KTH Royal Institute of Technology. He specializes in embedded systems, FPGA design, and fault-tolerant hardware architectures. His research focuses on radiation effects in electronics, machine learning acceleration, and network-on-chip (NoC) systems. He teaches and examines courses such as Computer Systems Architecture (IS2202), Embedded Hardware Design in ASIC and FPGA (IL2225), and Embedded Systems Design Project (IL2232). His work often bridges theory and practice, emphasizing real-world applications in aerospace, automotive, and IoT domains. Key research trends include improving reliability in SRAM-FPGAs through statistical fault injection, developing hardware-accelerated machine learning frameworks, and optimizing NoC architectures for predictable performance in mixed-criticality systems. Recent projects include the SAFEPOWER architecture for energy-efficient systems and collaborations on structural health monitoring using Lamb wave analysis. No scientific awards are explicitly mentioned in the provided texts. Johnny has advised on multiple degree projects but no specific student names are listed. His contributions include foundational work in GALS (Globally Asynchronous, Locally Synchronous) communication bridges and protocol grammars for low-power implementations. Labs/teams: Active involvement in the ICES (Innovative Centre for Embedded Systems) and the Suaineadh project for space-deployable structures. Collaborates on interdisciplinary initiatives like the ABB NoC and Panacea NoC prototypes.

• Space Instrumentation
• Satellite Systems Engineering
• Radiation Effects in Electronics
• +3 more

Manuel Prieto Mateo is a Professor at the Department of Automática, Universidad de Alcalá, Spain. He leads the Space Research Group (SRG-UAH), focusing on space instrumentation design, radiation effects in space electronics, and solar particle physics. His work integrates FPGA-based systems for space applications, including contributions to the Solar Orbiter mission’s Energetic Particle Detector (EPD). He holds a PhD from Universidad de Alcalá (2005) on satellite instrumentation control systems, advised by Dr. Daniel Meziat Luna. Research interests include spaceborne data management, thermal monitoring in Antarctic environments, and COTS component qualification for space. His projects involve collaborations with ESA/NASA and Antarctic observatories. Key contributions span radiation-hardened electronics, digital beamforming architectures, and space weather monitoring systems. Notable achievements include developing the SIDRA instrument for space radiation measurement, co-designing the EPD’s hardware/software systems, and pioneering thermal/permafrost studies at Livingston Island. He has published extensively on solar energetic particles, Antarctic geophysics, and FPGA implementations in space systems since 2001. Education: PhD in Physics/Space Instrumentation (Universidad de Alcalá, 2005). Research Labs/Groups: SRG-UAH Space Research Group, Antarctic PERMASNOW project, Solar Orbiter EPD team.

• Particle Physics
• Signal Processing
• Space Technology
• +5 more

Alberto Regadío Carretero is a Lecturer in the Department of Automática at the University of Alcalá, affiliated with the Space Research Group (SRG-UAH). His research focuses on signal processing for particle detection, cosmic ray physics, and the integration of advanced computing techniques like neural networks and IoT technologies into experimental instrumentation. He holds a PhD in Digital Signal Processing applied to particle detection, awarded in 2014. Education: PhD in Digital Signal Processing, University of Alcalá (2014) Thesis: Procesamiento digital de señal aplicado a la detección de partículas energéticas , supervised by Dr. Sebastián Sánchez Prieto and Dr. Jesús Tabero Godino Research Interests: His work bridges particle physics, space technology, and computational methods. Key areas include: Design of radiation detectors and data acquisition systems using FPGAs and IoT Analysis of cosmic ray spectra and atmospheric effects Application of machine learning (e.g., GANs, reservoir computing) to pulse detection and unfolding Hardware optimization for precision signal processing in space and high-energy environments Key Contributions: Recent work includes: Quantum computing approaches for exoplanet discovery Development of neutron monitors and trajectory tracking systems (e.g., MITO) Unfolding techniques for particle spectra using deep learning Awards & Grants: No specific awards or grants are mentioned in the text, but his involvement in projects like ORCA and the Space Research Group suggests active grant-based research. Lab & Team: He is part of the SRG-UAH Space Research Group, collaborating on projects such as the Antarctic Cosmic Ray Observatory (ORCA) and FPGA-based instrument development.

Reinhold LudwigView profile

Professor

• Electromagnetic and Acoustic Nondestructive Evaluation (NDE)
• MRI RF Coil Design
• Electromagnetic Sensors
• +5 more

Reinhold Ludwig is a Professor and Associate Head in the Department of Electrical & Computer Engineering at Worcester Polytechnic Institute (WPI). He holds a Dipl.-Ing. (MS) from the University of Wuppertal (1983) and a PhD from Colorado State University (1986). His research focuses on electromagnetic and acoustic nondestructive evaluation (NDE), MRI RF coil design, and biomedical imaging systems. As director of the Center for Imaging and Sensing (CIS), he leads projects in energy/media interaction analysis and advanced MRI technology development. Key contributions include anatomically shaped RF coils for MRI systems up to 7T, including full-body, head, and extremity imaging applications. His team has developed NDE sensing technologies and electronic circuits for clinical and pre-clinical MR scanners. Recent work explores ultra-low-power neuromorphic circuits for autonomous vehicles and AI-driven optical defect detection systems. Professional memberships include IEEE, Eta Kappa Nu, and Sigma Xi. Notable grants include a $3M NIH award (2016) for robot-assisted brain cancer treatment research. His lab also works on microwave imaging innovations, ceramic material testing, and embedded computing systems. Current projects emphasize compact neural networks for real-time NDE, non-contact electromagnetic stimulation devices for pain management, and high-resolution MRI coil optimization. Patents include multi-modal RF coils and moisture analysis systems for industrial materials.

Shahin TajikView profile

Assistant Professor

• Hardware Security
• Cybersecurity
• FPGA Security
• +7 more

Shahin Tajik is an Assistant Professor at the Department of Electrical & Computer Engineering at Worcester Polytechnic Institute (WPI), with affiliations in Cybersecurity. He joined WPI in July 2020 after serving as an Assistant Research Professor at the Florida Institute for Cybersecurity Research (FICS) at the University of Florida. He holds a Ph.D. in Electrical Engineering from the Technical University of Berlin (2017), an M.S. from the same institution (2013), and a B.S. from K. N. Toosi University of Technology (2010). His research focuses on hardware security, including non-invasive/semi-invasive side-channel analysis, Physically Unclonable Functions (PUFs), FPGA security, and anti-tamper mechanisms. Notable contributions include his ACM CCS’17 paper on optical contactless probing of FPGA bitstream encryption, which won the 2017 CSAW Applied Research Competition. He is also the recipient of the NSF CAREER Award for his work on power delivery network-aware hardware security. Dr. Tajik has served as a reviewer for IEEE and ACM journals and as a technical program committee member for conferences like CHES, HOST, and FDTC. His recent research explores tamper detection via impedance sensing, laser fault injection defenses, and secure edge computing through the Northeastern Microelectronics Coalition (NEMC), where he leads the Secure Edge Computing tech area. Education: Ph.D., Electrical Engineering, Technical University of Berlin (2017) M.S., Electrical Engineering, Technical University of Berlin (2013) B.S., Electrical Engineering, K. N. Toosi University of Technology (2010) His work bridges theoretical advancements with practical defenses, emphasizing hardware's physical layer vulnerabilities. Recent trends in his publications address challenges like chiplet verification, impedance-based tamper detection, and leveraging AI for forensic analysis of electronic components. Awards: NSF CAREER Award (2024) 1st Place, CSAW Applied Research Competition (2017) His grants include funding for laser-assisted attack monitoring (2022) and NSF support for student travel to hardware security events (2024). He collaborates on initiatives like CHIPS Act’s Microelectronics Commons program through NEMC, advancing secure edge computing infrastructure. Labs/Teams: Technical co-lead for Secure Edge Computing at NEMC, involved in interdisciplinary projects addressing hardware security across academia and industry.

Aristides EfthymiouView profile

Assistant Professor

• Microarchitecture of Computer Systems
• Digital Systems Design
• VLSI Circuits
• +2 more

Aristides Efthymiou is an Assistant Professor at the Department of Computer Engineering and Informatics, University of Ioannina. He holds a PhD from the University of Manchester (2002) and has held academic positions at the University of Edinburgh (2004–2011) and research roles at the Institute of Microelectronics, National Center for Scientific Research 'Demokritos,' and Integrated Systems Development SA. His research focuses on microarchitecture, digital systems design, and VLSI circuits. Education: Bachelor's and postgraduate diploma in Computer Science, University of Crete (1993–1995) PhD in Computer Science, University of Manchester (2002) Research interests include approximate computing, visible light communications (VLC), and energy-efficient circuit design. He is a member of the VLSI Systems and Computer Architecture Laboratory (VCAS), contributing to projects like the Artemis Program on supply chain traceability. His work spans over 25 international publications, emphasizing hardware optimization and signal processing in VLC systems. Awards: None explicitly mentioned. Lab and Team: Leads the VCAS lab, collaborating with faculty members like Professors George Tsiatouchas and Chrysovalantis Kavousianos. Supervises doctoral candidates in areas like approximate multipliers and VLC systems.

Hans-Arno JacobsenView profile

Professor

• Middleware Systems
• Event Processing
• Service Computing
• +5 more

Prof. Hans-Arno Jacobsen is a full professor at TUM's Department of Informatics, holding the Chair of Application and Middleware Systems since 2012 via an Alexander von Humboldt Professorship. He previously worked at the University of Toronto in Computer Science and Electrical & Computer Engineering. His research integrates computer science, engineering, and information systems, focusing on middleware systems, event processing, and energy-efficient ICT solutions. Notable collaborations include work with Bell Canada, IBM, and Sun Microsystems. Education: Doctoral studies across Germany, France, and the USA, followed by postdoctoral research at INRIA Paris. His applied research explores FPGA integration into middleware architectures to enhance performance and energy efficiency. Scientific Awards: Alexander von Humboldt Professorship (2012) Research Trends: Recent publications emphasize database indexing (BE-tree), adaptive content routing, and distributed SOA architectures for business processes. His work bridges theoretical computer science with industrial scalability challenges. No listed grants or advisees are explicitly mentioned in the text, though his industry partnerships suggest significant collaborative projects. His lab focuses on middleware innovations for modern hardware environments.

Jens FörstnerView profile

Professor

• Theoretical Electrical Engineering
• Nanophotonics
• Quantum Optics
• +5 more

Jens Förstner is a Full Professor (W3) for Theoretical Electrical Engineering at Paderborn University since 2013. He currently serves as Director of the Department of Electrical Engineering and Information Technology (since October 2023) and Vice Dean of the Faculty of Computer Science, Electrical Engineering and Mathematics. His roles include coordinating the MSc Optoelectronics & Photonics program and leading the Institute for Photonic Quantum Systems (PhoQS). Education & Career: PhD in Physics (2004), Technical University Berlin Postdoctoral research at TU Berlin, University of Arizona (Tucson), and Technical University Berlin Head of DFG Emmy Noether junior research group on Computational Nanophotonics (2007–2013) Research Focus: His work spans theoretical and computational nanophotonics, quantum optics, plasmonics, and integrated photonics. Key projects include the Transregional Collaborative Research Centre 142 (photonic quantum systems) and PhoQC (photonic quantum computing). He explores topics like optical antennas, nonlinear optics, and quantum communication infrastructure. Teaching: Offers courses on electromagnetic field simulation, quantum systems, and scientific computing. Current courses include Fields & Waves and Electromagnetic Waves and Waveguides . Awards: Goldene Kreide for teaching excellence (2011) Paderborn University Research Award (2009) Carl-Ramsauer-Preis (2005) for PhD thesis Engagement: Serves as a funding reviewer for DFG, DAAD, and other foundations. Organized workshops like International Workshop on Theoretical and Computational Nano-Photonics (2008–2013). Active in the HighPerMeshes framework for numerical algorithms and FPGA-based photonic simulations.

• Digital Signal Processing
• FPGA Design
• Telecommunications
• +7 more

Небојша Пјевалица is a Regular Professor at the Department of Computer Communications, Faculty of Technical Sciences, University of Novi Sad. He holds a BSc in Electrical Engineering (Electronics and Telecommunications) from the same faculty (1995) and an MSc in Digital Signal Processing (2000). Since 1997, he has been employed at the Faculty, starting as an assistant and advancing to his current position. His research focuses on FPGA design, embedded systems, and automotive technologies. Notable projects include work on ADC converters with phase-locked loops, arithmetic processors for Sigma-Delta modulators, and automotive communication systems. Education: BSc (1995), MSc (2000) Research interests include digital signal processing, FPGA-based embedded solutions, and advanced communication protocols. He collaborated with NASA on engineering education projects and RT-RK Institute on FPGA design. His industry projects span automotive electronics, sensor systems, and motor control applications. Grants/Projects: Multiple national science ministry projects and industry collaborations in automotive and communication sectors. Labs/Teams: Active contributor to the RT-RK Research Institute’s FPGA design initiatives.

• Nuclear Instrumentation
• Radiation-Hard Sensors
• Monolithic Active Pixel Sensors
• +7 more

Vicente González Millán is a full Professor in the Department of Electronic Engineering at the School of Engineering, University of Valencia. His work bridges electronics technology and nuclear physics, with strong involvement in international collaborations such as CERN, AGATA, and NEDA. His research focuses on the development of advanced radiation-hard semiconductor sensors, particularly the MALTA series of monolithic active pixel sensors, for applications in high-energy and nuclear physics experiments. He is actively involved in detector design, signal processing, FPGA-based data acquisition systems, and real-time data analysis techniques. His work supports cutting-edge experiments in nuclear structure, particle detection, and medical physics instrumentation. The recent publications show a consistent focus on detector development, sensor characterization, and data acquisition systems. Key themes include radiation hardness, timing performance, charge calibration, and the use of machine learning for event reconstruction in neutron detection arrays. The work is highly experimental and closely tied to large-scale facilities like CERN and GANIL. He leads or is a core member of two research groups: i2N (Electronic Instrumentation in Medical and Nuclear Physics) and IRIMED (Research in Radiophysics and Nuclear Instrumentation in Medicine), highlighting the dual application of his work in both fundamental physics and medical technology. While no specific awards are listed, his sustained publication record and leadership in major detector projects indicate significant recognition in the field. He also contributes to the development of real-time trigger systems, digital front-end electronics, and FPGA-based solutions for gamma and neutron spectroscopy.

• Formal Verification
• Automated Reasoning
• SAT and SMT Solving
• +7 more

Bernd Becker is a Professor in the Department of Computer Science at the Faculty of Engineering, University of Freiburg, Germany. He has been actively publishing in the fields of formal methods, hardware verification, and automated reasoning since the 1980s, with a sustained record of high-impact publications up to 2025. His research interests span formal verification, SAT and SMT solving, hardware testing, probabilistic systems, and embedded systems security. His work bridges theoretical advances in automated reasoning with practical applications in processor design, RISC-V verification, and safety-critical systems. The recent articles highlight a strong focus on applying formal methods to emerging challenges in hardware and AI, including POMDPs for robot planning, RISC-V security, GPU verification, and energy-efficient monitoring. There is a clear trend toward integrating symbolic computation with machine learning and probabilistic reasoning. Bernd Becker has collaborated extensively with researchers such as Ralf Wimmer, Ilia Polian, and Matthias Sauer, indicating leadership in a large, interdisciplinary research group. His work has been supported by numerous grants, though specific details are not listed in the source text. He has contributed to major conferences such as DATE, FMCAD, and SAT, and has mentored several students and researchers, though specific names are not provided. He is involved in projects related to secure scan networks, physical unclonable functions, and smart home systems.

• Neuromorphic Engineering
• Embedded Artificial Intelligence
• Spiking Neural Networks
• +13 more

Benoit Miramond is a Full Professor at Université Côte d’Azur, affiliated with the Laboratory of Electronics, Antennas and Telecommunications (LEAT) and Polytech Nice Sophia. He serves as Director of Research at the 3IA Côte d'Azur – Interdisciplinary Institute for Artificial Intelligence, and leads the eBRAIN Research Group focused on neuromorphic engineering. His research interests lie at the intersection of embedded systems, artificial intelligence, and neuroscience. He specializes in bio-inspired AI , spiking neural networks , event-based processing , and neuromorphic hardware architectures . His work emphasizes energy efficiency, real-time performance, and hardware-aware design for AI at the edge. The recent publications highlight a strong trend in embedded AI , neuromorphic computing , and energy-efficient sensor networks . His team explores hardware-aware neural architecture search, distillation for spiking networks, and FPGA-based implementations, demonstrating a consistent focus on deploying intelligent systems in resource-constrained environments. He is actively involved in national and interdisciplinary initiatives: Member of PEPR IA (EMERGENCES project) Scientific advisor at AICO Technology (startup) Member of the Scientific Committee of the NeuroMod Institute Member of GDR BioComp He advises several researchers and students in the fields of embedded AI and neuromorphic systems. His work is supported by institutional affiliations and collaborative grants, particularly through 3IA Côte d’Azur and PEPR IA. He contributes to advancing the next generation of edge intelligence through interdisciplinary research bridging hardware, algorithms, and cognitive principles. His research is conducted within the LEAT laboratory, a CNRS UMR7248 unit, where the eBRAIN group fosters innovation in bio-inspired computing and adaptive hardware systems.

• Image and Signal Processing
• Computer Vision
• Artificial Intelligence
• +6 more

Dr. Deepayan Bhowmik is a Senior Lecturer and Director of Research at Newcastle University's School of Computing. He holds a PhD in Electronic and Electrical Engineering from the University of Sheffield. His research focuses on image/signal processing, AI, neuromorphic vision systems, and their applications in media security, remote sensing, and space research. He actively contributes to UN Sustainable Development Goals related to clean water, environmental sustainability, and responsible consumption. Grants & Collaborations: PI of £2M EPSRC-funded North East Space Communications Accelerator (2025-2029) Co-I in Airbus-funded Smart Earth Observation Satellite Constellation project (2024-2028) Lead on JPEG Trust international standard for media authenticity Research Interests: Combines theoretical advancements in signal processing with practical applications in media forensics, environmental monitoring, and heterogeneous computing. Recent work addresses AI-generated media manipulation detection and satellite imagery analysis for ecological challenges like water hyacinth infestation. Publications: Over 28 peer-reviewed articles spanning watermarking techniques, FPGA optimization, and remote sensing applications. Recent trends show increasing focus on AI-driven media security and space-based earth observation systems.

Louise Helen CrockettView profile

Senior Lecturer

• Digital Signal Processing (DSP)
• Software Defined Radio (SDR)
• Field Programmable Gate Arrays (FPGAs)
• +7 more

Louise Helen Crockett is a Senior Lecturer in the Department of Electronic and Electrical Engineering at the University of Strathclyde, Faculty of Engineering. She completed both her undergraduate and postgraduate studies at the same institution and has been a member of the academic staff since 2007, progressing from Research Fellow to Senior Lecturer in 2025. She is an active member of the Strathclyde Software Defined Radio (StrathSDR) research group, where she leads a team of researchers and PhD students, and contributes to multiple industry-facing research projects. Her educational background includes a Doctor of Philosophy (PhD) in Code Division Multiple Access Applied to SpeckNets and a Master of Engineering (MEng) in Electronic & Electrical Engineering with Business Studies (with distinction), both from the University of Strathclyde. Louise's research is centered on the hardware implementation of Digital Signal Processing (DSP) systems for wireless communications, with a focus on Field Programmable Gate Arrays (FPGAs), System on Chip (SoC) devices, and AMD/Xilinx RFSoC technologies. She also works on design methodologies and tools for FPGA-based systems. Her teaching encompasses Hardware Description Language (HDL) design, Simulink-based workflows, and FPGA programming, with an emphasis on practical industry-relevant skills. She has co-authored several books, including Software Defined Radio with Zynq UltraScale+ RFSoC (2023), and develops training materials for broader academic and professional use. Her recent publications reflect a strong trend in FPGA-accelerated signal processing, 5G/6G physical layer implementation, RFSoC applications, and machine learning for modulation classification. These works demonstrate a consistent focus on bridging theoretical algorithms with real-world hardware deployment, particularly in advanced wireless systems and spectrum utilization. She has received the Best Student Paper Award on 29 May 2018. This award was shared with her advisees, highlighting her role in mentoring high-impact research. Louise supervises final-year undergraduate, MSc, and PhD students, and is actively involved in research projects funded by EPSRC, including the Industrial CASE Account and initiatives on spectrum sharing for 5G/6G. She also leads professional training activities, such as short courses on RFSoC and PYNQ, further extending her impact beyond the university. She leads a research team within the StrathSDR group, which focuses on SDR, FPGA-based DSP, and next-generation wireless systems. Her team collaborates on open innovation platforms and contributes datasets and codebases to support reproducible research.

Gerald HempelView profile

Researcher

• Computer Architecture
• Embedded Systems
• High-Performance Computing
• +4 more

Dr.-Ing. Gerald Hempel is a researcher at Dresden University of Technology (TU Dresden) with active contributions to computer architecture and embedded systems from 2015–2023. His work bridges hardware/software co-design through domain-specific languages and compiler techniques, primarily within the Faculty of Electrical and Computer Engineering context. His research spans: Domain-Specific Languages for hardware acceleration Memory optimization in high-performance computing Reconfigurable computing using FPGAs Many-core and heterogeneous system design Bio-inspired algorithms for robust system mapping Racetrack memory applications in brain-inspired cognition Publication analysis reveals consistent focus on compiler-driven hardware acceleration, particularly for computational fluid dynamics and cognitive systems. His work emphasizes memory architecture innovations (e.g., high-bandwidth memory, caching) and bio-inspired robustness techniques, often through collaborations like the EVEREST consortium for compilation frameworks. No scientific awards were documented in the source material. No student advising or grant information was provided in the available texts. Dr. Hempel collaborates within TU Dresden's research ecosystem, notably with the EVEREST consortium and chairs including Compiler Construction and Emerging Electronic Technologies. His work on tools like Mocasin demonstrates active participation in teams developing rapid prototyping frameworks for heterogeneous multi-core systems and FPGA-based accelerators.