Find Academic Supervisors

Judith Driscoll is Professor of Materials Science at the University of Cambridge in the Department of Materials Science & Metallurgy. She holds the prestigious Royal Academy of Engineering Chair in Emerging Technologies and serves as a Visiting Staff Member at Los Alamos National Laboratory. As the founding Editor-in-Chief of APL Materials, she has significantly contributed to the materials science community. Dr. Driscoll's research focuses on Energy Efficient Oxide Materials for Information and Communications Technologies and energy devices. Her work spans the development of non-volatile memory, resistive switching devices, and ferroelectric materials for neuromorphic computing applications. She investigates oxide thin films for applications ranging from data storage to energy generation and conversion, with particular emphasis on creating more energy-efficient device technologies to handle the exponential growth of data-centric applications. Her recent publications demonstrate strong trends in developing novel oxide-based memory devices with improved energy efficiency, particularly for AI applications. The work shows significant progress in hafnium-zirconium oxide ferroelectrics, resistive switching mechanisms, and vertically aligned nanocomposite structures for enhanced device performance. These innovations address critical challenges in reducing the unsustainable energy demands of modern computing, particularly for artificial intelligence systems. Fellow of the Royal Academy of Engineering Fellow of the Materials Research Society Fellow of the American Physical Society Fellow of IOM3, IOP, and Women Engineers Society Fellow of the American Academy of Arts and Sciences Recipient of ERC Advanced Grant Editor-in-Chief of APL Materials Dr. Driscoll leads a vibrant research group that has secured significant funding including her Royal Academy of Engineering Research Chair, an ERC Advanced Grant, and an ECCS-EPSRC grant in collaboration with researchers from the USA. She has founded the Cambridge Centre for Neuromorphic Computing (Neucam) in 2023. Her group operates world-leading growth equipment including pulsed laser deposition with RHEED control, high temperature oxide sputtering, and spatial ALD systems. She collaborates extensively across the University of Cambridge and with international partners to solve complex materials challenges, with her group's role often being to identify optimal materials for functional goals, predict fabrication methods, and then create and characterize these materials.

• Functional Materials and Oxides
• Materials for Energy Applications
• Spintronic and Multiferroic Materials
• +7 more

Jim Smith is a Professor in Interactive Artificial Intelligence at the University of the West of England (UWE), Bristol, affiliated with the School of Computing and Creative Technologies and the Department of Computer Science and Creative Technologies. He serves as Director of the Computer Science Research Centre and leads the AI@UWE theme. His research is supported by UKRI, Innovate UK, and partnerships with organizations including Health Data Research UK, Office for National Statistics, NHS Scotland, and DSTL. University: University of the West of England School: School of Computing and Creative Technologies Department: Department of Computer Science and Creative Technologies Role: Professor in Interactive Artificial Intelligence Leadership: Director, Computer Science Research Centre Research Interests : Jim Smith's work focuses on Interactive Artificial Intelligence, particularly at the intersection of AI and privacy preservation when using sensitive data for public good. His research includes statistical disclosure control, privacy leakage from AI models, evolutionary computation, machine learning, and systems that learn through human interaction or self-adaptation. He explores how AI can automate privacy checks in research outputs and assess vulnerabilities in trained models. Recent Publications : His recent work spans AI privacy in trusted research environments (e.g., SACRO, SDC-Reboot), dialogue act classification, human-robot interaction, and visualization of deep learning models. Themes include privacy-preserving AI, automated disclosure control, interactive machine learning, and neuromorphic computing. Machine Learning & Privacy Evolutionary Computation Interactive AI Systems Human-Computer Interaction Statistical Disclosure Control Federated Learning Security Scientific Awards : No specific awards are mentioned in the provided texts. Advising and Grants : He currently supervises PhD students on topics including spatio-temporal air quality modeling, federated learning privacy, and threat detection in mobile networks. He leads Innovate UK and UKRI-funded projects such as SACRO and SDC-Reboot, focusing on AI-driven solutions for data confidentiality in public sector research. Interactive Machine Learning for Claim Settlement (Innovate UK) SDC-Reboot (DARE UK/Health Data Research UK) Threat Identification in Mobile Networks (Ribbon Communications) Labs and Teams : He leads the AI@UWE initiative and the Computer Science Research Centre at UWE. His work involves collaboration through DARE UK and open-source development via the AI-SDC GitHub organization, which hosts tools from SACRO and GRAIMATTER projects.

• Interactive Artificial Intelligence
• Statistical Disclosure Control
• Privacy Leakage from AI Models
• +7 more

Niladri Banerjee is a Senior Lecturer in the Department of Physics at Imperial College London, serving as Research Representative of the Matter Community in Physics. His research focuses on atomic-precision growth of materials, advanced electronic and magnetic characterisation, and modelling to develop emergent quantum phases in low-dimensional systems including thin films and van der Waals materials. Education PhD, University of Cambridge Postdoctoral Research Associate, University of Cambridge Junior Research Fellow, Wolfson College, Cambridge Research Interests His work spans critical areas in quantum technology development: Quantum Materials: Engineering emergent quantum phases through atomic-precision synthesis of low-dimensional materials. Spintronics: Investigating spin-orbit coupling effects and triplet supercurrents in superconducting hybrid structures. Superconductivity: Developing superconducting switches, diodes, and proximity-effect devices for quantum computing. Nanomaterials: Characterising thin films and van der Waals heterostructures for next-generation electronic applications. Recent Publications His 2021-2025 publications demonstrate sustained leadership in superconducting spintronics and topological quantum materials. Key contributions include realising de Gennes' superconducting switch, roadmap development for quantum technologies, and flux-pinning mediated superconducting diodes. His work consistently bridges experimental synthesis with theoretical modelling to address challenges in quantum computing and neuromorphic technologies. Scientific Awards No scientific awards were mentioned in the provided materials. Advising and Grants Details regarding student advising and research grants were not specified in the available information. Labs and Teams As an active member of Imperial's Matter Community in Physics, Dr. Banerjee collaborates on advanced characterisation techniques and quantum device engineering, focusing on spin-orbit coupled materials and topological phenomena for quantum technology applications.

• Quantum Materials
• Spintronics
• Superconductivity
• +4 more

Ruomeng Huang is an Associate Professor in the Sustainable Electronics Technologies group within the School of Electronics and Computer Science at the University of Southampton. He holds a PhD in nanoscale memristors (2015) and has been a faculty member since 2018, advancing to his current rank in 2023. His research focuses on neuromorphic computing using memristive materials, machine learning-driven nanophotonics, and energy harvesting devices. Huang has published over 100 peer-reviewed articles and leads six UKRI-funded projects, including the EPSRC-funded ADEPT initiative. Education: BSc Physics (2008), MEd (2009) in China; MSc Nanoelectronics & Nanotechnology (2010), PhD in nanoscale memristors (2015) at the University of Southampton. Research Interests : - Neuromorphic computing via novel memristor devices (SiC, mesoporous silica, chalcogenides) - Thermoelectric materials (SnSe, Bi₂Te₃) and AI-optimized generators - Deep learning for structural color design Teaching : Leads MSc programs in Electronic Engineering and Micro/Nanotechnology. Teaches undergraduate/graduate modules including semiconductor devices, nanoelectronics, and industrial studies. Grants & Projects : - EPSRC Doctoral Prize Fellowship (2015) - Co-Investigator on £6.33M EPSRC ADEPT grant (electrodeposition innovations) - PI on multiple thermoelectric and neuromorphic computing projects Students : Currently supervising 7 PhD students. Notable advisees include Aiden Graham, Jiale Zeng, and Dongkai Guo. Labs/Teams : Heads the Sustainable Electronics Technologies group, collaborating with interdisciplinary teams in nanomaterials and energy systems.

• Neuromorphic Computing
• Machine Learning
• Nanophotonics
• +3 more

Giuliana Di Martino is an Associate Professor in Device Materials at the Department of Materials Science & Metallurgy, University of Cambridge. She leads the Di Martino Lab, which focuses on sustainable power solutions for non-volatile memory (NVM) and brain-like computing systems. Education : Bachelor and Master degrees from Università di Catania and Scuola Superiore di Eccellenza di Catania; PhD in Nanoplasmonics for Materials Innovation at Imperial College London (2014). Her research bridges plasmon-enhanced light-matter interactions and optically-accessible memristive devices , leveraging ultra-concentrated light in plasmonic nanocavities to study atomic-scale dynamics in memory nano-devices. Recent work includes self-assembly of nanomaterials , surface-enhanced Raman spectroscopy (SERS) , and low-power electronics for sustainable IT. Scientific Awards : Winton Advanced Research Fellowship (2018) Her grants include funding from EPSRC , Leverhulme Trust , Isaac Newton Trust , Royal Society , and ERC Starting Grant . The Di Martino Lab collaborates within the Device Materials Group (DMG), which includes three Principal Investigators.

• Nanoscale Device Engineering
• Plasmonics
• Light-Matter Interactions
• +5 more

Professor David Thomas holds the position of Professor in Computer Engineering at the University of Southampton's Electronics and Computer Science Department. His research focuses on the intersection of software and hardware, particularly leveraging FPGAs for novel digital architectures and event-driven computing. He has a notable academic trajectory, having previously served as a Lecturer and Senior Lecturer at Imperial College London before joining Southampton in 2021. Dr. Thomas is actively involved in supervising PhD students and contributes to interdisciplinary research projects funded by the EPSRC, such as the SONNETS initiative exploring scalable event-triggered systems. Education: BSc in Computer Science (Imperial College London), PhD in Digital Architectures (Imperial College London). Postdoctoral roles included Research Associate and Research Fellow at Imperial's Department of Computing. Research Interests: Event-driven computing, FPGA-based systems, high-level synthesis, and high-performance computing. His work emphasizes practical implementations of theoretical models, such as custom processors and application-specific accelerators. Current projects include optimizing random number generation for FPGAs and exploring meta-programming techniques for hardware design. Advising and Grants: Supervises multiple PhD students in areas like neuromorphic computing and algorithm optimization. Active in securing funding for distributed system architectures and FPGA-based solutions. Labs/Teams: Member of the Cyber Physical Systems research group. Collaborates with interdisciplinary teams on projects like POETS (Partially Ordered Event-Triggered Systems) for large-scale parallel computing.

• Event-driven Computing
• FPGAs
• Digital Architectures
• +3 more

Michael Turner is a Professor of Materials Chemistry and Director of the Organic Materials Innovation Centre (OMIC) at the University of Manchester's School of Chemistry. He holds a Chair in Materials Chemistry and leads the Knowledge Centre for Materials Chemistry (KCMC), a virtual interdisciplinary research hub. His research focuses on synthesizing conjugated molecules for applications in organic electronics, including transistors, LEDs, sensors, and solar cells. He coordinates the EPSRC-funded Organic Materials for Electronics Consortium (OME-C), involving collaborations across multiple institutions. Education: Bachelor's and PhD from the University of Bristol (organometallic chemistry with Prof. Selby Knox). Postdoctoral work in the U.S. with Prof. Harry Allcock on polyphosphazenes, followed by research at the University of Sheffield on Fischer-Tropsch reactions under Prof. Peter Maitlis. Research Interests: Synthesis of conjugated liquid crystals and polymers, organic electronics, electro-optical devices, and nanoscale fabrication. His work addresses challenges in energy, environment, and material synthesis through novel polymer architectures and functional nanoparticles. Key Projects: Principal Investigator for KCMC, advancing applied materials chemistry and knowledge transfer. Leading projects on CRISPR-Cas technology integration into organic electronics and roadside breath analysis of narcotics. Contributions to neuromorphic computing via printed electronics and bioelectronics networks. Awards: Royal Society University Research Fellowship (1993). Grants & Collaborations: Coordinates EPSRC consortia and collaborates internationally on polymer synthesis, sensor systems, and bio-inspired materials. His work aligns with UN Sustainable Development Goals, particularly energy and environmental innovation. Labs & Teams: Directs OMIC and KCMC, fostering interdisciplinary research in organic materials, device fabrication, and nanotechnology applications.

• Materials Chemistry
• Organic Electronics
• Conjugated Polymers
• +5 more

Dr. Christos Papavassiliou is an Associate Professor in the Department of Electrical and Electronic Engineering at Imperial College London, part of the Faculty of Engineering. His research focuses on instrumentation electronics, memristor modeling, signal integrity, and novel device technologies such as SiGe devices, RF MEMS, and ReRAM. He leads the Space Lab and collaborates with the National Centre for Scientific Research in Athens. He holds senior membership in IEEE and is a member of the IET. Education: Ph.D. in Applied Physics, Yale University (1983–1989) MPhil in Applied Physics, Yale University (1983–1988) MS in Applied Physics, Yale University (1983–1985) B.S. in Physics, MIT (1979–1983) Research Interests: Memristor-based neuromorphic computing and stochastic systems High-performance instrumentation hardware and data acquisition Multi-state memristive memory and selectorless arrays Integration of memristors with CMOS for hybrid circuits Applications in biomedical wearables and edge AI deployment Key Contributions: Developed novel memristor models for circuit simulation Pioneered work on memristor-based true random number generators Advanced understanding of resistive drift and energy-constrained storage Designed FPGA-based systems for analog circuit emulation Labs & Teams: Active in the Space Lab at Imperial College, focusing on interdisciplinary research in electronics and space applications.

• Instrumentation Electronics
• Memristor Modelling
• Signal Integrity
• +6 more

Dr. Ioannis Zeimpekis is an Associate Professor in the Department of Electronics and Computer Science at the University of Southampton. His research focuses on advanced materials for electronic and photonic applications, including chalcogenides, 2D materials, and phase-change materials. He leads a team developing wafer-scale processes for optoelectronics and energy storage solutions. Zeimpekis holds a PhD in microelectronic systems design from the University of Southampton (2012) and has over 16 years of nanofabrication experience. His work spans interdisciplinary fields such as photonics, material science, and MEMS technology. Key projects include the development of flexible thermoelectrics for wearable systems and scalable synthesis of MoS 2 heterostructures. Research Group Affiliations: Institute for Life Sciences, Sustainable Electronic Technologies, Silicon Photonics External Roles: Invited speaker at conferences on chalcogenide materials (2019) With over 60 publications, his recent work emphasizes low-loss phase-change materials and neuromorphic switching dynamics. He actively supervises multiple PhD students across disciplines like photonics, energy storage, and nanomaterials.

• Electronics
• Photonics
• Material Science
• +7 more

Professor Frank Zhigang Wang is a faculty member at the School of Computing , University of Kent. His research focuses on Quantum Computing , Neuromorphic Computing , and Cloud Computing , with significant contributions to Memristor Technology and Green Computing . He has secured £5 million in research grants from EC/UK/industries and chaired/co-chaired over 10 international conferences, including IEEE and ACM events in Manchester, Delhi, Beijing, and Shanghai. Key research areas: Quantum Computing, Artificial Intelligence, Neuromorphic Systems, Cloud Security. Professional roles: Fellow of the British Computer Society, former IEEE Region 8 Area 2 Coordinator. His work explores Landauer Bound optimization in quantum systems, Spin-Encoded Quantum Computers , and Topological Electronics . Recent publications address post-quantum cryptography and memristor-based neuromorphic architectures . He has supervised 15 PhD students (14 completed) and 7 research fellows. Awards include Best Teacher Award nominations (2016, 2022) and ACM/IEEE Super Computing Challenge Finalist (2007).

• Quantum Computing
• Artificial Intelligence
• Neuromorphic Computing
• +5 more

Dr. Richard Jiang is a Senior Lecturer (Associate Professor) at Lancaster University's School of Computing and Communications. His research focuses on Artificial Intelligence, Neurocomputing, Quantum AI, Privacy Computing, and Medical Computing. He has pioneered secure pattern recognition in encrypted domains and quantum neuromorphic computing. With over £1M in research grants from EPSRC and others, he has authored 100+ publications and supervised over 20 PhD students. Dr. Jiang's work includes the Face2Brain method for neurodegenerative assessment and explainable models for brain aging analysis. He contributes actively to academic committees, editorial boards, and conferences like the World Conference on eXplainable AI. His research spans ethical AI frameworks, quantum algorithms for medical imaging, and privacy-preserving biometric systems.

• Artificial Intelligence
• Neurocomputing
• Quantum AI
• +5 more

Sonia Antoranz Contera is a Full Professor of Biological Physics at the University of Oxford and Associate Head of the Physics Department. Her research bridges physics, nanotechnology, and biology, focusing on the interplay of mechanics, chemistry, and electricity in biological systems. She leads projects on neural interfaces, sustainable architecture inspired by biological principles, and nanomedicine. Notable collaborations include work with Amanda Levete Architects on bioinspired materials and the EU-funded ZEBAI initiative for carbon-neutral buildings. Her book Nano Comes to Life (Princeton University Press) explores nanotechnology's impact on biology and medicine. She also engages in public discourse through columns in El Pais and academic lectures on the history of physics and ethics in science. Education: PhD in Physics (Osaka University), with postdoctoral work across global institutions. Research Interests: Biomechanics of growth, AFM of biological systems, neuromorphic computing, and sustainable materials. Funding: John Fell Fund, Moore Foundation, EU Horizon Programme (ZEBAI), UKRI (BuildAir). Her lab's recent work includes AI-driven cement microstructure synthesis, PDMS mechanical aging studies, and anaesthesia mechanisms linked to neuronal viscoelasticity. She advises on policy and innovation, advocating for ethical, equitable scientific progress.

• Biological Physics
• Nanotechnology
• Biomechanics
• +3 more

Roles & Affiliations: Prof. Piotr Dudek is a Professor of Circuits and Systems in the School of Electrical and Electronic Engineering at The University of Manchester. He has held visiting roles at Hong Kong University of Science and Technology, Gdansk University of Technology, and Sorbonne University. He is a Senior Member of the IEEE and chairs/co-chairs technical committees in circuits and systems. Education: Mgr inz (Technical University of Gdańsk, Poland), MSc and PhD (UMIST, UK). Research Interests: Focuses on VLSI design, vision sensors (SCAMP chip family), cellular processor arrays, neuromorphic engineering, and brain-inspired systems. Develops low-power, high-performance embedded vision systems for robotics, biomedical applications, and autonomous systems. Projects & Contributions: Leads projects like SCAMP vision chips, FORTE (memristor-based systems), and Agile robotic vision. Involved in EPSRC-funded initiatives and collaborates internationally. Active in reviewing for journals/conferences and holds editorial roles. Awards: Recipient of Best Paper/Demo awards at ISCAS, CNNA, IJCNN, and ICDSC. Holds the Royal Academy of Engineering/Leverhulme Trust Senior Research Fellowship. Lab & Teams: Directs the Microelectronics Design Lab, fostering interdisciplinary work between VLSI design, robotics, and neuroscience. Supervises 11 PhD students and collaborates with global researchers in bioelectronics and computational systems.

• Integrated Circuit Design
• Neuromorphic Engineering
• VLSI Design
• +4 more

Dr Dimitra Georgiadou is an Associate Professor at the University of Southampton's School of Electronics and Computer Science, leading the Flexible Nanoelectronics Lab. She is a UKRI Future Leaders Fellow and serves as Deputy Impact Champion in the UKRI Centre for Doctoral Training in Machine Intelligence for Nanoelectronic Devices and Systems (MINDS-CDT). Her research focuses on green manufacturing of flexible nanoelectronics, photonic synapses for neuromorphic computing, and solution-processed non-toxic materials. Key projects include developing Pb-free perovskite photoelectric memristors and radiofrequency Schottky diodes for IoT applications. Education: PhD in Chemical Engineering/Organic Electronics from the National Technical University of Athens (NTUA). Prior roles include Industrial Fellow at Imperial College London and Marie Skłodowska-Curie Fellow. Research spans nanoscale optoelectronic devices, energy harvesting, and flexible substrates. Publications highlight advancements in photodetectors, memristors, and neuromorphic systems, with recent work on self-powered organic photodetectors and γ-ray-induced memristor effects. She has over 40 peer-reviewed articles, including in Laser & Photonics Reviews , Optica , and Advanced Electronic Materials . External roles include editorial positions at Frontiers in Nanotechnology and IEEE Sensors Letters , and membership in the EPSRC Peer Review College. She actively participates in conferences, delivering invited talks on nanosciences, flexible electronics, and neuromorphic devices.

• Flexible Nanoelectronics
• Green Manufacturing
• Neuromorphic Computing
• +3 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.

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