Find Academic Supervisors

• Computer Networking
• Distributed Systems
• Network Security
• +3 more

Georgia Fragkouli is a Researcher affiliated with ETH Zürich's School of Computer and Communication Sciences, working within the Institute of Computer Engineering and Communication Systems. Her role is part of the Professorship for Networked Systems, focusing on advanced networking and distributed systems research. She specializes in analyzing network performance, security, and transparency, with a particular emphasis on BGP convergence dynamics, anomaly detection, and decentralized computing architectures. Her research interests include network protocol validation, machine learning-based traffic analysis, and improving internet transparency through innovative measurement frameworks. She has contributed to projects like MorphIT for packet-level transparency and explored failure mitigation in globally distributed systems. Notable recent work includes studies on transient forwarding anomalies, iBGP convergence effects, and data-plane performance consistency. Her publications span both theoretical advancements and practical implementations, aiming to bridge gaps between networking theory and real-world deployment challenges.

• Embedded Systems
• System-on-Chip (SoC) Design
• Computer Architecture
• +5 more

Professor Klaus McDonald-Maier is a full Professor in the School of Computer Science and Electronic Engineering (CSEE) at the University of Essex , where he leads the Embedded and Intelligent Systems (EIS) Research Laboratory and heads the Intelligent Embedded Systems and Environments Research Group . He is also Director of Impact , Visiting Professor at the University of Kent, and Visiting Research Affiliate at NASA Jet Propulsion Laboratory, California Institute of Technology. Education PhD in High-Performance Parallel Neural Network Architectures, Friedrich-Schiller-University Jena (Germany, 1999) Electronic Engineering studies, University of Ulm (Germany) Electronic Engineering studies, Cardiff University (Wales) Electronic Engineering studies, École Supérieur de Chimie Physique Électronique de Lyon (CPE-Lyon) (France) Research Interests Professor McDonald-Maier’s research integrates embedded systems , System-on-Chip (SoC) architectures , and AI-driven robotics . He pioneers visual place recognition techniques that remain robust under severe appearance and viewpoint changes, develops cybersecurity frameworks based on ICMetrics for autonomous vehicles and IoT, and designs approximate real-time computing solutions for energy-constrained multicore and FPGA platforms. His work on radiation-tolerant systems supports space and nuclear applications, while his bio-inspired algorithms enable lightweight, neuromorphic perception on resource-limited robots. Publication Trends Between 2022 and 2025 his output converges on FPGA-accelerated AI , secure edge intelligence , visual navigation for autonomous systems , and healthcare analytics . He repeatedly couples rigorous algorithmic innovation with practical hardware deployment, yielding energy-efficient, real-time systems validated in domains ranging from autonomous driving to post-stroke rehabilitation. Scientific Awards & Recognition Best Paper Award – IEEE Transactions on Sustainable Computing (2024) Best Paper Award – IEEE/ACM DATE (2024) Best Paper Award – IEEE Systems Journal (2022) Best Paper Award – IEEE Sensors Journal (2021) Best Paper Award – IEEE Access (2020) Research Grants & Industrial Collaboration He has secured major funding from EPSRC , EU Horizon 2020 , Innovate UK , and industry partners. Current projects span trustworthy autonomy, radiation-hardened edge AI, and AI-enhanced rehabilitation technologies. He is Chief Scientist of UltraSoC Technologies Ltd and CEO of Metrarc Ltd , commercialising University research in semiconductor debug and cybersecurity respectively. Laboratory & Team Leadership As Director of the Embedded and Intelligent Systems Laboratory (EIS Lab) , he oversees a multidisciplinary team of researchers and PhD students, providing state-of-the-art FPGA, robotics, and embedded-systems facilities. The lab collaborates closely with NASA JPL, UK Atomic Energy Authority, and leading semiconductor firms to translate fundamental research into high-impact industrial solutions.

• Process Technology
• Device Design
• Silicon Carbide (SiC) Electronics
• +3 more

Carl-Mikael Zetterling is a Professor and Head of Department at Kungliga Tekniska Högskolan (KTH) in Stockholm, Sweden, affiliated with the School of Electrical Engineering and Computer Science (ICT) and the Electronics and Embedded Systems department. His research focuses on process technology and device design for high-temperature, high-power silicon carbide (SiC) electronics, expanding into SiC-based analog and integrated circuits. He has authored over 300 publications, including books on SiC process technology and plagiarism prevention. Dr. Zetterling has held leadership roles such as Vice Dean of the School of ICT (2013–2017) and teacher representative on KTH's faculty board. He has collaborated internationally at Stanford University, Kyoto University, and Kyoto Institute of Technology. His work addresses applications in extreme environments, including Venus exploration and fusion reactor monitoring, with a focus on radiation tolerance and thermal resilience. The 15 most recent publications highlight trends in wide bandgap semiconductors, gamma irradiation effects on SiC devices, and high-temperature integrated circuits. His articles span structural health monitoring with machine learning, novel SiC diode designs, and radiation-hardened electronics. Key contributions include advancements in self-aligned contacts, trench MOSFETs, and compact modeling for extreme conditions. While no formal awards are listed, his roles in technical program committees (TMS Electronic Materials Conference, IEEE SISC Conference) and editorial work demonstrate significant academic service. He teaches courses ranging from digital design to high-temperature electronics, overseeing degree projects in embedded systems, communication, and nanotechnology.

Ahmed HemaniView profile

Professor

• Computer Engineering
• Embedded Systems
• Hardware Acceleration
• +5 more

Professor Ahmed Hemani is a faculty member at the Division of Electronics and Embedded Systems, KTH Royal Institute of Technology, affiliated with the Digital Futures Faculty. He holds the role of PI for the project 'New Chip Architectures for Industrial Vision' and leads research in reconfigurable computing, memristor-based systems, and hardware acceleration for AI and edge computing. His work bridges theoretical computer science with practical VLSI design and embedded systems development. He actively contributes to cross-disciplinary initiatives at Digital Futures, a joint center with Stockholm University and RISE Research Institutes of Sweden focused on digital innovation. His research emphasizes scalable FPGA/HPC architectures, low-power neuromorphic systems, and optimization techniques for custom silicon solutions. Current projects include a Lego-inspired edge AI framework and memristor-driven MIMO acceleration. Teaching responsibilities span advanced courses in SOC design, digital system verification, and embedded systems. He supervises advanced-level degree projects across computer engineering and ICT innovation specializations, emphasizing hands-on hardware-software co-design methodologies. Recent publications highlight innovations in memristor applications, FPGA-based acceleration, and reconfigurable architectures for neural networks and bioinformatics. His work addresses challenges in dark silicon utilization, energy-efficient computation, and high-performance embedded systems.

Steph CerasoView profile

Associate Professor

• Composition Pedagogy
• Composition Theory
• Digital Rhetoric
• +5 more

Steph Ceraso is an Associate Professor of Digital Writing & Rhetoric at the University of Virginia in the Department of English within the College of Arts and Sciences. She maintains an active research agenda at the intersection of sound studies, digital rhetoric, and composition pedagogy, with a particular focus on sensory and multimodal approaches to writing instruction. Ph.D. in English from University of Pittsburgh (2013) M.A. in English from University of Vermont (2006) B.A. in English from Washington and Jefferson College (2004) Her research interests span Composition Pedagogy and Theory, Digital Rhetoric, Sound Studies, Multimodality, and Sensory Studies. Ceraso's work explores how embodied listening practices can transform writing instruction and composition theory, arguing for more sensory-rich approaches to multimodal composition. Her scholarship demonstrates how sound and sensory experiences can enhance rhetorical awareness and writing development. Her publications reveal a consistent trajectory exploring the relationship between sound, writing, and embodied experience. Recent work examines the rhetoric of academic labor ('Ticking Clocks: Rhetorics of Tenure and (In)Fertility', 2023) while earlier scholarship established foundational work in sensory composition pedagogy, including her award-winning article '(Re)Educating the Senses' (2014) and her book 'Sounding Composition' (2018). NEH Mayo Distinguished Teaching Professorship (2022-2025) Richard Ohmann Award for Outstanding Article in College English (2015) Andrew Mellon Dissertation Fellowship (2012-2013) English Department's Distinguished Teaching Award (2012) Elizabeth Baranger Excellence in Teaching Award (2011) Ceraso maintains an active presence in the scholarly community through conference presentations at venues like the Conference on College Composition and Communication. Her work bridges theoretical scholarship with practical pedagogy, developing innovative approaches to writing instruction that incorporate sensory and multimodal elements. She has secured significant funding for her teaching through the NEH Mayo Professorship and has demonstrated excellence in both research and teaching throughout her career.

Simon DevittView profile

Professor

• Quantum Computing
• Quantum Software
• Quantum Information
• +4 more

Professor Simon Devitt is Research Director of the Centre for Quantum Software and Information (QSI) at the University of Technology Sydney's Faculty of Engineering and Information Technology, School of Computer Science. He also holds several prestigious international appointments including InstituteQ Visiting Chair of Excellence in Quantum Technologies at Aalto University, Finland, and visiting positions at RIKEN in Japan. As a leading figure in quantum computing research, he directs the Australian Quantum Software Network and co-founded quantum education startup Eigensystems Pty Ltd. His educational background includes: PhD in Physics from University of Melbourne (2004-2007) BSc (Hons) in Physics from University of Melbourne (2000-2003) Professor Devitt's research spans quantum software, quantum architecture, and quantum error correction, with a focus on making quantum computing practical at scale. His work addresses fundamental challenges in quantum computing architecture when scaled to millions or billions of qubits. He has pioneered approaches to quantum error correction, resource estimation, and quantum network design, particularly through his leadership of the Quantum Technology at Scale (QTS) research group. His research bridges theoretical foundations with practical implementation challenges, aiming to shape the evolution of quantum technology over the coming decades. His recent publications demonstrate a strong focus on practical quantum computing challenges, with particular emphasis on error correction techniques, resource estimation, and quantum architecture. A significant portion of his work addresses the surface code and its variants, exploring ways to optimize qubit usage and error rates. He has also made important contributions to quantum networking, particularly through the concept of "quantum sneakernet," and to quantum education and standardization efforts that will be critical for the emerging quantum industry. His notable awards and recognitions include: Fellow of the Australian Institute of Physics Fellow of the Royal Society of New South Wales Warren Prize from the Royal Society of NSW InstituteQ Visiting Chair of Excellence in Quantum Technology Professor Devitt actively mentors numerous PhD students, postdocs, and researchers through his Quantum Technology at Scale group. His research is supported by significant funding from diverse sources including Google Academic Research Awards, Sydney Quantum Academy, DARPA, and the Japanese Society for the Promotion of Science. He has led projects on quantum sneakernet networks, quantum algorithm benchmarking frameworks, and quantum software tools that address critical challenges in the field. He leads the Quantum Technology at Scale (QTS) research group at UTS, which focuses on the design and architectural challenges of quantum computing and communications technology at scale. The group includes researchers working on quantum computing architectures, quantum networking (Rottnest Quantum Sneakernet project), and quantum software (Quokka project). The team collaborates extensively with international partners including Aalto University in Finland, University of New South Wales, Keio University in Japan, and industry leaders like Rigetti Computing.

Maggie HeView profile

Assistant Professor

• Organic Chemistry
• Materials Chemistry
• Sensor Development
• +3 more

Maggie He is an Assistant Professor of Organic Chemistry in the Department of Chemistry & Biochemistry at the University of Arkansas, College of Arts & Sciences. Her research program focuses on the development of functional materials with applications in sensing and adaptive systems. Education: Ph.D. in Chemistry, ETH Zürich M.S. in Chemistry, University of Pennsylvania B.S. in Chemistry, magna cum laude, The City College of New York Her research spans organic synthesis, materials chemistry, and sensor development, with particular expertise in carbon nanomaterials and shapeshifting molecular systems. Current work emphasizes covalent functionalization of carbon nanotubes , bullvalene-based dynamic molecules , and real-time chemical sensors for environmental and medical applications. The group integrates synthetic chemistry with materials characterization to bridge fundamental science and practical devices. Her publication record shows consistent focus on carbon nanomaterial functionalization (35% of recent articles), molecular dynamics in fluxional systems (25%), and sensing applications (40%), with increasing emphasis on radiation detection and bio-inspired sensor designs in the last five years. Scientific Awards: ETH Medal (2015) Swiss National Science Foundation Early Postdoc Mobility Fellowship (2014) Roche Symposium – Leading Chemists (2012) Multiple undergraduate research awards including Merck Index Award and Bristol-Myers Squibb Research Award She teaches graduate courses in organic analysis (CHEM 5753) and experimental methods (CHEM 4723), advising students in synthetic methodology and materials characterization. Her research group maintains collaborations with MIT and ETH Zürich, with funding supporting carbon nanomaterial synthesis and sensor development. The He Group operates specialized facilities for organic synthesis, nanomaterial characterization, and sensor testing, focusing on translating molecular innovations into functional devices for environmental monitoring and healthcare applications.

• Testability
• Built-in Self Test (BIST)
• Digital Circuit Testing
• +3 more

Professor Jacob Savir is a distinguished academic in the Department of Electrical and Computer Engineering at the New Jersey Institute of Technology . He specializes in testability, built-in self-test (BIST), and fault detection for digital and analog circuits. His work focuses on improving integrated circuit testing methodologies, including BIST pretesting, defect level analysis, and reliability optimization in safety-critical systems. His research interests span BIST architectures, delay fault analysis, analog circuit testing, and power-constrained test synthesis . He has contributed extensively to the development of testing algorithms for embedded memories, scan designs, and fault diagnosis in complex systems. Notable contributions include studies on the impact of BIST pretesting on IC defect levels and yield optimization. His work bridges theoretical advancements with practical applications in aerospace and industrial electronics. Despite no awards listed, his substantial citation count (1,897) and h-index (22) reflect his influential contributions to the field. Prof. Savir has collaborated on 114 research outputs since 1977, with a focus on enhancing circuit testability and reliability across domains like FPGA-based systems and embedded memory diagnostics. His research emphasizes both academic rigor and industrial relevance, addressing challenges in modern VLSI design and testing.

Elham KashefiView profile

Professor

• Quantum Computing
• Quantum Cryptography
• Quantum Information Science
• +3 more

Elham Kashefi is a Professor of Quantum Computing at the University of Edinburgh and holds the position of Directeur de recherche at CNRS, Sorbonne Universite, LIP6. Her research focuses on quantum cloud computing, verification of quantum technology, and their applications in secure delegated computing, quantum key distribution, and quantum networks. She leads the UK Computing and Simulation Hub as Senior Science Team Leader and co-founded VeriQloud Ltd to advance quantum technology applications. Her work addresses the integration of classical and quantum devices in future networks, emphasizing trust and functionality across varying technological stages. Research interests span trans-disciplinary efforts to bridge theoretical frameworks with industrial applications, particularly through initiatives like the Quantum Protocol Zoo—a platform cataloging protocols for emerging quantum networks. This initiative aims to standardize and simulate protocols for quantum internet use cases such as quantum digital signatures and clock synchronization. Elham has delivered keynote speeches on these topics, including a 2020 presentation at the LIG event. Her contributions bridge academia and industry, fostering collaboration across quantum information science communities.

• FPGA Design
• VLSI Systems
• Logic Synthesis
• +7 more

Pierre-Emmanuel Gaillardon is a Professor in the Department of Electrical & Computer Engineering and Adjunct Professor in the School of Computing at the University of Utah. He holds a joint appointment since July 2024, having previously served as Assistant Professor (2016–2019) and Adjunct Assistant Professor in Computing (2016–2019). His research focuses on FPGA design, VLSI systems, nanoelectronics, and hardware security. He leads projects in emerging devices like TIGFETs, compute-in-memory architectures, and radiation-hardened FPGA fabrics. Teaching includes courses on Digital VLSI Design, Embedded Systems Design, and thesis supervision. He has secured grants from NSF, DARPA, and industry partners totaling over $10M, addressing topics like FPGA redaction, neuromorphic systems, and environmental sensors. Notable awards include the NSF CAREER Award (2018) and IEEE Senior Member elevation (2016). He actively serves on IEEE committees for nanoelectronics and EDA tools, contributing to standards like OpenFPGA.

Arpan GujaratiView profile

Academic

• Real-Time Systems
• Distributed Systems
• Cyber-Physical Systems
• +7 more

Arpan Gujarati is a Sessional Lecturer in the Department of Computer Science at the University of British Columbia (UBC), affiliated with the Systopia Lab. He teaches graduate and undergraduate courses such as CPSC 538G (Distributed Systems), CPSC 416 (Operating Systems), and CPEN 432 (Real-Time System Design). He holds a PhD from the Max Planck Institute for Software Systems and TU Kaiserslautern, where he was supervised by Björn B. Brandenburg. PhD: Max Planck Institute for Software Systems & TU Kaiserslautern (2020) Undergraduate: Birla Institute of Technology and Science (BITS Pilani) Postdoctoral Researcher: MPI-SWS Research Associate: UBC Software Development Engineer: Citrix R&D, India His research focuses on real-time and distributed systems, with applications in cyber-physical systems, fault tolerance, and machine learning reliability. He investigates scheduling algorithms, reliability analysis, and the integration of learning-enabled components into safety-critical systems. His work combines theoretical analysis with practical system implementations, often involving real-world testbeds and open-source tools. His recent publications span top-tier venues including RTSS, OSDI, ECRTS, DSN, and Middleware, with a strong emphasis on performance predictability, resilience of ML systems, and real-time communication. His work frequently addresses challenges in timing guarantees, fault tolerance, and system reliability in both cloud and embedded environments. SIGBED Paul Caspi Memorial Dissertation Award Best Paper Award at RTSS 2022 Distinguished Artifact Award at OSDI 2020 Best Student Paper Award at Middleware 2017 Outstanding Paper Award at RTCSA 2025 He advises several PhD students and undergraduate researchers at UBC, including Heng Zhao, Aida Aminian, Zainab Saeed Wattoo, and Philip Schowitz. He has led multiple research projects involving robotic arms, NVIDIA Holoscan, FreeRTOS, and distributed key-value stores. His lab work emphasizes reproducibility, open datasets, and practical system building. He has served on program committees for RTSS, RTAS, ECRTS, and Middleware, and contributes to journals such as Real-Time Systems and JSys.

Eilis HannonView profile

Associate Professor

• Genetics
• Bioinformatics and computational biology
• Epidemiology
• +9 more

Eilis Hannon is an Associate Professor in Bioinformatics at the University of Exeter Medical School and leads the Complex Disease Epigenetics Group. She holds a prestigious 5-year EPSRC Research Software Engineering Fellowship and serves as Assistant Director for Education in the Institute of Data Science and Artificial Intelligence, driving initiatives in reproducible research and data science education. Education: BSc in Mathematics, Cardiff University (2010) PhD in Bioinformatics, Cardiff University Centre for Psychological Medicine and Clinical Neurosciences (2014) Her research integrates statistical genetics, epigenomics, and bioinformatics to investigate molecular mechanisms in schizophrenia, bipolar disorder, and neurodegenerative diseases. She develops novel computational methods for analyzing DNA methylation dynamics across the lifespan and cell-type-specific epigenetic changes in brain disorders, with strong emphasis on open science and reproducible research practices. Recent publications demonstrate her leadership in multi-omics integration, particularly in cell-type-specific epigenetic epidemiology, biomarker development for neurological conditions, and methodological advances in long-read sequencing. Her work spans psychiatric disorders, Alzheimer's disease, and ALS, consistently linking genetic risk variants to functional epigenetic consequences through innovative analytical frameworks. Scientific Awards: EPSRC Research Software Engineering Fellowship NARSAD Young Investigator Award Alan Turing Pilot Project award Alzheimer's Society PhD studentship Software Sustainability Institute fellowship Alan Turing Institute Skills Policy Award As an educator, she directs the Coding for Reproducible Research training programme and mentors over 20 PhD students. She has secured substantial funding from MRC, NIA, ARUK, and the Brain and Behaviour Research Foundation, serving as PI on the EPSRC Fellowship and co-applicant on multiple international grants. Her leadership extends to the MRC GW4 Biomed DTP and the MSc module Statistics for Health and Life Sciences. She co-leads the Exeter Brain Health Analytics network within the NIHR Exeter Biomedical Research Centre and the Institute for Data Science and Artificial Intelligence, fostering cross-disciplinary collaborations in neurogenetics and computational biology.

Mustapha C.E. YagoubView profile

Professor

• RF/Microwave Circuit Design
• RFID Systems
• Antenna Design
• +5 more

Mustapha C.E. Yagoub is a Full Professor at the School of Electrical Engineering and Computer Science, University of Ottawa, with over 500 publications in RF/microwave CAD, RFID systems, neural networks, and applied electromagnetics. He leads research in the ELEMENT Laboratory and RFM Research Group , focusing on wireless communication systems and nonlinear device modeling. PhD in Electronics (Institut National Polytechnique de Toulouse, 1994) Magister in Telecommunications (École Nationale Polytechnique d'Alger, 1987) Dipl.-Ing. in Electronics (École Nationale Polytechnique d'Alger, 1979) His research bridges Microwave Circuit Design with Artificial Intelligence , including applications in Energy Conservation and Telecommunication Systems . Key trends in his publications include hybrid modeling techniques combining Neural Networks with Computational Electromagnetics for optimizing Antenna Design and RF Components . He is a Senior Member of IEEE and licensed with the Professional Engineers of Ontario and Ordre des Ingénieurs du Québec . His lab teams focus on High-Tc Superconducting Devices and Directional Antenna Optimization for RFID networks.

Hafizul AsadView profile

Lecturer

• Formal Verification
• Hybrid Systems
• Intrusion Detection Systems
• +5 more

Dr. Hafizul Asad serves as a Lecturer in Dependability at City St George's, University of London, leveraging his PhD in Electrical Engineering (City University of London, 2016) and MS in Aerospace Engineering (University of Belgrade, 2008) to advance cybersecurity and formal verification research. His expertise bridges critical infrastructure protection and cyber-physical systems security, with significant contributions to IoT/IIoT security frameworks. His educational journey includes: PhD in Electrical Engineering, City, University of London (2012-2016) MS in Aerospace Engineering, University of Belgrade, Serbia (2007-2008) BSc in Electrical and Electronics Engineering, University of Engineering and Technology Peshawar, Pakistan (1999-2003) Asad's research centers on formal verification of hybrid systems and verifiable intrusion detection mechanisms for interconnected environments. He pioneers provably robust security architectures for IoT/IIoT systems, emphasizing mathematical verification to ensure system resilience against cyber threats. His work integrates diversity principles to create defense-in-depth strategies for critical infrastructure, with recent focus on wind turbine cyber-safety and industrial control system protection. Analysis of his 15 most recent publications (2014-2025) reveals an evolution from aerospace applications and analog circuit verification toward cutting-edge cybersecurity for cyber-physical systems. His 2023-2025 work demonstrates increasing specialization in IoT security and formal methods, while maintaining foundational contributions to diversity-based security architectures established in his 2015-2018 research. No scientific awards or prizes are documented in the provided materials, though he maintains professional standing as a British Computer Society member and Higher Education Academy Associate Fellow. Details regarding doctoral student supervision or specific research grants are not disclosed in the source text. His professional trajectory indicates significant project involvement, including the D3S security project at City University of London (2015-2018) and Rolls-Royce-funded Future Systems Simulator development at Cranfield University (2018-2019), though current laboratory affiliations remain unspecified.

Huib ZuidervaartView profile

Researcher

• History of Scientific Instruments
• History of Academic Institutions
• Early Modern Science
• +3 more

Huib Zuidervaart is a Guest Researcher at the Royal Netherlands Academy of Arts and Sciences (KNAW), affiliated with the Huygens Institute for the History of the Netherlands. His career spans roles at institutions including Huygens ING, Utrecht University, and Leiden University, with expertise in the history of scientific instruments and academic institutions. Educated at VU University Amsterdam and Utrecht University, he holds a Ph.D. on Dutch astronomy in the Eighteenth Century. His research focuses on Early Modern Science, particularly the role of instruments, academic communities, and collections. Notable projects include co-editing the Collected Letters of Antoni van Leeuwenhoek and analyzing Dutch contributions to optical and astronomical innovations. His work bridges technical craftsmanship, institutional history, and cultural contexts of scientific advancement. Publications emphasize interdisciplinary connections between science, art, and society, such as exploring Vermeer’s Delft paintings through a scientific lens. His articles frequently address knowledge circulation in Dutch cities like Middelburg and Delft, highlighting regional networks of scholars, artisans, and collectors. Collaborations include international projects on instrument history and editorial roles in journals like ISIS . His writings span technical analyses, historical biographies, and critical reviews, reflecting a commitment to preserving and interpreting the material and intellectual heritage of early modern science.