Find Academic Supervisors

• Intellectual Property Law
• Copyright Law
• 3D Printing and Additive Manufacturing
• +6 more

Professor James Griffin is a leading scholar at the University of Exeter Law School specializing in Intellectual Property Law's intersection with emerging technologies. His research examines copyright frameworks for quantum computing, biological systems, and 3D printing, with significant contributions to digital watermarking and automated licensing systems. As Vice Chair of BILETA (2024-2027), he bridges academic research and policy development. His educational foundation includes a PhD from the University of Bristol (2002-2005), supported by a Law Department Scholarship and Graduate Teaching Assistantship. This training underpins his interdisciplinary approach combining legal theory with technological innovation. Griffin's research explores how Intellectual Property laws must evolve to address disruptive technologies. His monograph The State of Cultural Biology (2023) argues for historical awareness in regulating biological computing, while The State of Creativity (2019) examines societal development through creative frameworks. Current interests span copyright rationality, meme culture, and AI's impact on authorship, always emphasizing the legal-philosophical dimensions of technological change. Analysis of his recent publications reveals three dominant trajectories: blockchain authentication for 3D printing IP (2023), quantum computing's copyright implications (2024), and crisis-driven IP access models (2021). His work consistently bridges theoretical innovation with practical applications, particularly in watermarking technologies and cross-jurisdictional dispute resolution. Griffin has secured substantial research funding as Principal or Co-Investigator: 2024-2025: £167,156 Neuron Intelligence project (PI) 2021-2023: £82,218 AHRC grant for 3D printing in China 2015-2017: £97,000 AHRC-Newton Fund project on Chinese 3D printing Multiple EPSRC grants totaling over £60,000 for IP-technology convergence He leads the AHRC-funded 3D printing consortium involving Nottingham Ningbo, Essex, and Durham universities, driving practical implementations including patented watermarking systems (CN-107330844B). His current work with Yawning Titan on neuron intelligence exemplifies his commitment to translating theoretical frameworks into operational technologies for quantum watermarking and digital rights management.

Zichong LyuView profile

Researcher

• Operations Research
• Business Analytics
• Data Science
• +6 more

Dr Zichong Lyu is a researcher at the Hertfordshire Business School, specializing in optimization and decision-making in complex systems. His work integrates operations research, business analytics, and data science to address challenges in healthcare workforce planning, patient pathway optimization, and logistics operations. Education PhD in Mechanical Engineering (University of Canterbury, Christchurch) Research Interests : Focused on enhancing system resilience through stochastic modeling, hub-and-spoke architectures, and discrete-event simulation. Key applications include sustainable freight networks, last-mile delivery optimization, and climate change adaptation in logistics. Article Trends : Recent publications emphasize sustainable transportation systems, with a focus on electric vehicle adoption, stochastic optimization of urban freight networks, and resilience planning for climate-related disruptions. Methodologies include simulation-based modeling, cluster analysis, and multi-objective optimization frameworks. Research Groups : Active member of the Business and Digital Research Group and Sustainability Research Group at the University of Hertfordshire.

• Neurodegeneration
• Parkinson's Disease
• Mitochondrial Biology
• +5 more

Tony Schapira is Professor of Neurological Science at University College London (UCL) and Head of the Department of Clinical Neurosciences at UCL Institute of Neurology. He serves as a Consultant Neurologist at the National Hospital for Neurology and Neurosurgery and Royal Free Hospital, and holds additional leadership positions as Vice Dean of UCL Medical School and Director of the Royal Free Campus. His academic appointments include Visiting Professorships at Harvard (2009) and Yale (2010). Education includes: Bachelor of Science (Honours) from King's College London (1976) Bachelor of Medicine/Bachelor of Surgery from Charing Cross and Westminster Medical School (1979) Member of the Royal College of Physicians (1982) His primary research investigates neurodegeneration mechanisms in Parkinson's disease (PD), with emphasis on mitochondrial dysfunction, alpha-synuclein pathology, and GBA1 mutation pathways. His work spans molecular pathogenesis, drug development for disease modification, and clinical phenotyping of at-risk populations. Current projects focus on identifying prodromal biomarkers and developing neuroprotective therapies through international clinical trials. Schapira's recent publications (2024-2025) demonstrate concentrated research in Parkinson's disease mechanisms, mitochondrial biology, genetic risk factors (particularly GBA1 variants), and novel therapeutic approaches. Article themes consistently explore protein aggregation pathways, lysosomal function, metabolic interactions, and clinical trial methodologies. Awards and honors include: Fellow of the Academy of Medical Sciences (1999) Undergraduate Scholarship at Westminster Medical School He has supervised 11 PhD students and one MD candidate, and currently mentors post-graduate and post-doctoral researchers. His department received UCL's 'Excellence in Medical Education' award (2007-2008). Major grants include co-principal investigator roles on: MRC-Wellcome Strategic Award in Neurodegeneration (£6 million) Wolfson Award (£20 million) He directs a research department comprising 3 Readers, a Senior Lecturer, technicians, and academic staff, with facilities for biochemistry, molecular biology, tissue culture, and advanced imaging. The team investigates neurodegenerative disorders including Parkinson's, Huntington's, and Friedreich's ataxia.

Yixuan ZouView profile

Lecturer

• Artificial Intelligence
• Wireless Communications
• Machine Learning
• +7 more

Dr. Yixuan Zou is a Lecturer in Digital Signal Processing at the School of Electronic Engineering and Computer Science, Queen Mary University of London (QMUL). She co-teaches QMUL's Joint Programme with Beijing University of Posts and Telecommunications (BUPT). B.Sc. in Mathematics M.Sc. from Imperial College London Ph.D. in Computer Science, QMUL (2022) Her research focuses on applying artificial intelligence to wireless communications, specifically non-orthogonal multiple access (NOMA), IRSs/RISs-aided systems, and resource allocation for 6G networks. She integrates machine learning, deep reinforcement learning, and meta-learning techniques to optimize network performance. Recent publications highlight advancements in secure IoT node identification, UAV-assisted RIS-NOMA networks, STAR-RIS beamforming, and wideband near-field communication optimization. She contributes to IEEE conferences as a Technical Program Committee member and session chair. Academic Fellow at Digital Environment Research Institute (DERI) Dr. Zou supervises PhD students researching next-generation multiple access, AI-driven near-field communication, and human action recognition, while also serving as a reviewer for top-tier journals like IEEE TWC and IoT-J.

Mohammad MonfaredView profile

Senior Lecturer

• Power electronics
• Renewable energy systems
• Power quality
• +4 more

Dr. Mohammad Monfared is a Senior Lecturer in the Department of Electronic and Electrical Engineering at Swansea University's School of Aerospace, Civil, Electrical and Mechanical Engineering within the Faculty of Science and Engineering. He joined Swansea University in 2022 after previously working at Ferdowsi University of Mashhad in Iran, where he received the Best Researcher Award in 2015. His academic journey began with a PhD in electrical engineering from Amirkabir University of Technology (Tehran Polytechnic) in 2010, which he completed with honors. Dr. Monfared's research focuses on the control and utilization of renewable energy generation systems and power electronics in the context of distributed generation, microgrids, and smart energy systems. His work is particularly relevant to Sustainable Development Goals 7 (Affordable and Clean Energy), 9 (Industry, Innovation and Infrastructure), 11 (Sustainable Cities and Communities), and 13 (Climate Action). He collaborates extensively with the Energy and Power Research Group (EPRG) at Swansea University, particularly with Dr. Meghdad Fazeli and Professor Mike Jennings, who holds a Royal Academy of Engineering Research Chair in 'Advanced Semiconductors for Electric Vehicles'. His research has practical applications and includes experimental verification in nearly all of his published works. Dr. Monfared's recent publications demonstrate a strong focus on power converter topologies, control strategies for renewable energy integration, and smart grid technologies. His work spans from high-boost impedance networks and DC-DC converters to grid-forming inverters and energy management systems. A notable trend in his research is the emphasis on practical implementation with experimental validation, bridging the gap between theoretical concepts and real-world applications in power electronics and renewable energy systems. Best Researcher Award from Ferdowsi University of Mashhad (2015) Department's Best Teacher Award at Swansea University (2023-24) Outstanding Reviewer Award for IEEE Transactions on Power Electronics (2023) IEEE Senior Member (2015) Dr. Monfared actively supervises PhD and MSc students, with current research projects focusing on gate-oxide reliability of wide bandgap power MOSFETs, single-phase PV-battery grid-forming inverters, and day-ahead PV generation forecasting. He collaborates with industry partners including National Grid, ABB, Siemens, and Vishay Intertechnologies on high-impact research projects. His future research direction involves establishing stronger industry collaborations to bridge the gap between academic innovation and real-world application, with a focus on advancing renewable energy technologies and power electronics for distributed generation and smart energy systems. Dr. Monfared also serves as an Associate Editor for both IEEE Transactions on Industrial Electronics and IEEE Transactions on Power Electronics, contributing to the scholarly community in his field.

• Power and Energy Systems
• Condition Monitoring
• Fault Diagnosis and Prognosis
• +5 more

Dr Xiandong Ma is a Reader in Power and Energy Systems at Lancaster University's School of Engineering, where he has been a faculty member since December 2008. His research focuses on intelligent condition monitoring and fault diagnosis of power systems, with particular expertise in wind energy systems and smart grid technologies. His educational background includes: BEng in Electrical Engineering from Jiangsu University (1986) MSc in Power Systems and Automation from Nanjing Automation Research Institute (1989) PhD in Partial Discharge based High-voltage Plant Condition Monitoring from Glasgow Caledonian University (2002) Dr Ma's research spans intelligent condition monitoring and fault diagnosis/prognosis of wind power systems and electrical assets, condition-based operations and maintenance of power and energy systems, modeling, optimization, and control of smart/micro grids with renewable energy resources, power conversion and renewable energy integration, and associated machine learning and AI technologies and digital twin solutions. His work bridges theoretical advances with practical engineering applications in the renewable energy sector. His recent publications demonstrate a strong focus on quantum machine learning applications for wind turbine monitoring, electric vehicle-grid integration challenges, wave energy conversion systems, and nuclear fuel inspection technologies. The research shows a clear trajectory toward more sophisticated AI-driven solutions for energy systems, with increasing emphasis on multi-physics modeling and cross-domain applications. Dr Ma has received several prestigious recognitions: Chartered Engineer Fellow of the Institution of Engineering and Technology (FIET) Fellow of the Higher Education Academy (FHEA) Member of EPSRC Peer Review College KTP Fellowship awarded by University of Technology Sydney (2018) Ranked in the world's top 2% scientists by Stanford University He actively supervises numerous PhD students and postdoctoral researchers, with current projects including the Leverhulme Trust-funded "Self-Aware Power Networks: Autonomous Operation at Scale" and several EPSRC-funded initiatives. Dr Ma has secured significant research funding and collaborates extensively with industry partners to translate research into practical applications. Dr Ma leads research within Lancaster's Energy research group, focusing on the integration of advanced sensing, AI, and control techniques for next-generation power and energy systems. His team works closely with industrial partners including ALSTOM Power and various renewable energy companies to develop innovative solutions for real-world energy challenges.

Robert EadieView profile

Senior Lecturer

• Building Information Modeling (BIM)
• Procurement
• Pedagogy
• +4 more

Dr. Robert Eadie is a Senior Lecturer in Construction Management at Ulster University's Belfast School of Architecture and the Built Environment. He serves as MSc Civil and Infrastructure Engineering Course Director and Academic Lead for Civil Engineering Apprentices. Biography: 20 years in construction industry prior to academia Research Focus: BIM, procurement, pedagogy, and sustainable construction practices Professional Roles: Fellow of Engineers Ireland, Chartered Committee Member of CIHT Northern Ireland Accomplishments: 89+ peer-reviewed publications, 11 scientific awards His work contributes to UN Sustainable Development Goals through social responsibility in construction procurement. Recent research explores point cloud solidification for BIM, virtual reality applications, and IT project management frameworks. Key Research Areas Building Information Modeling (BIM) automation Sustainable procurement practices Construction pedagogy innovation Public-private partnership performance frameworks Scientific awards include: 2018 Doctor Honoris Causa (European Technical University) 2016 Distinguished Teaching Fellowship 2014 Engineering Council UK Registration 2018 Bulgarian Scientific and Technical Union Award

Roy SterrittView profile

Lecturer

• Autonomic Computing
• Robotics
• Machine Learning
• +5 more

Roy Sterritt is a Lecturer in Informatics at the School of Computing, Ulster University. His research focuses on autonomic computing, robotics, machine learning, and cybersecurity. He has contributed extensively to decentralized systems and fault management in autonomous environments. Research Interests: Roy’s work spans autonomic computing, robotics, and AI, with applications in cloud systems, space exploration, and drone fleets. He emphasizes self-adaptation, fault tolerance, and security protocols. Scientific Awards: Highly Ranked Scholar in Autonomic Computing (2024) Multiple Best Paper Awards (2016–2023) Recent Trends: His recent publications highlight autonomic solutions in cloud security, robot swarms, and space systems, leveraging machine learning and adaptive communication protocols. Projects & Collaborations: Roy has led projects like SPAAACE-Ware and DEL CAST AWARD, focusing on autonomic analytics and apoptotic computing. He organizes international conferences on autonomous systems and collaborates globally.

• Control Engineering
• Gas Turbine Systems
• Active Flow Control
• +5 more

Professor Marko Bacic is a Professor of Engineering Science at the University of Oxford and Engineering Fellow in Control Systems and Gas Turbine Functionality at Rolls-Royce, PLC. He leads research at the Oxford Thermofluids Institute with dual focus on academic innovation and industrial gas turbine applications, holding continuous university affiliation since 2003. His educational credentials include: MEng in Engineering and Computing Science (2001), University of Oxford DPhil in Model Predictive Control (2004), University of Oxford Research spans Control Engineering , Gas Turbine Systems , and Active Flow Control , emphasizing hardware-in-the-loop simulation, thermo-mechanical systems, and fluid-structure interactions. Current projects address aerospace control, active tip clearance, and hybrid-electric propulsion through the Active Flow Control for Gas Turbines research group. Recent publications (2023-2025) reveal three dominant trends: hybrid-electric propulsion optimization for urban air mobility, acoustic excitation techniques for flow control in compressors, and thermal management innovations in turbine cooling systems, demonstrating strong industry-academia translation. Major awards include: Sir Henry Royce Award for Technical Innovation (2012) Sir Henry Royce Patent Award (2017) RAEng Silver Medal (2020) Research funding exceeds £3M through collaborations with Rolls-Royce and EPSRC: 'Active Control of Fluid Flows in Gas Turbines' (£1.1M, EPSRC/Rolls-Royce, 2014–2017) 'Advanced Transient Heat Transfer Facility' (£1.3M, Rolls-Royce/ATI, 2011-2015) 'Real-time transient disc modelling' (£72k, Rolls-Royce, 2011-2014) 'Hardware-in-the-loop simulation for UAVs' (£114k, EPSRC) 'Non-return valve failure investigation' (£126k, Rolls-Royce/EPSRC) 'Engineering applications of bird flight' ($300k, AFOSR) He directs experimental facilities including a subscale test rig for compact heat exchangers and hardware-in-the-loop simulators for gas turbine systems, with active Rolls-Royce partnerships driving patent development and market deployment.

Noah LindenView profile

Professor

• Quantum Information Theory
• Mathematical Physics
• Quantum Computing
• +3 more

Professor Noah Linden is a faculty member in the School of Mathematics at the University of Bristol , holding the title of Professor of Theoretical Physics. His research focuses on Quantum Information Theory , Mathematical Physics , and related areas in quantum computing and thermodynamics. He has contributed to 105 research outputs and leads projects such as Reliable and Robust Quantum Computing and Compilation and Verification of Quantum Software . Key research themes include quantum scrambling, entanglement dynamics, and applications in biophysics. His work has been cited in studies on quantum dots, qubit manipulation, and nonlocality limits. He has also contributed datasets on exciton dynamics in purple bacteria and collaborated on projects analyzing decoherence and disorder effects in photosynthetic systems. Professor Linden serves as an editor for the Journal of Physics A: Mathematical and General and maintains active collaborations across quantum information, quantum computing, and interdisciplinary physics. His research output includes foundational studies on quantum error correction, measurement theory, and computational advantages.

• Nuclear Engineering
• Radiation Monitoring
• Environmental Remediation
• +3 more

Dr. Yannick S R Verbelen is a Senior Research Associate at the University of Bristol, affiliated with the Interface Analysis Centre and the Cabot Institute for the Environment . With a PhD in nuclear engineering and materials science, his work bridges robotics, radiation monitoring, and environmental remediation. Education: MSc, PhD His research focuses on nuclear industrial archaeology , radiation detection using drones, and robotic systems for nuclear environments. Key projects include airborne gamma-ray mapping and LiDAR integration for uranium mine analysis. Recent publications highlight innovations in radiation mapping algorithms , betavoltaic recycling , and robotic inspection systems . His work has been recognized with a Superior Paper Rating in 2022. He collaborates across disciplines, contributing to datasets on Fukushima Daiichi analysis and Chernobyl exclusion zone mapping. His technical expertise spans UAV deployment , scintillator materials , and energy-harvesting systems .

Laura KudrnaView profile

Associate Professor

• Behavioral Change Programs
• Workplace Wellbeing
• Diabetes Research
• +5 more

Laura Kudrna is an Associate Professor in Applied Health Sciences, focusing on behavioral change programs and workplace wellbeing. She supervises PhD students in areas such as COM-B and Mindspace frameworks, subjective wellbeing, and time-use tracking. Affiliation: Applied Health Sciences Key Projects: Springboard (cultural survey design), PRE-EMPT (cervical screening), Rwanda912 (emergency transport algorithms) Research Interests: Her work bridges behavioral science with public health, emphasizing structured interventions to improve wellbeing in workplaces, post-cancer care, and low-income settings. She employs mixed-methods evaluations and cluster trials to assess health initiatives. Recent Trends: Analysis of pandemic impacts on mental health (type 2 diabetes), workplace incentive structures, and socioeconomic determinants of wellbeing dominate her publications. Collaborations span the UK, Rwanda, and Mali, with funding from NIHR and the Academy of Medical Sciences. Advising: Currently accepts PhD students but no named advisees are listed. She leads major cross-regional studies and contributes to policy frameworks for health programs.

• Systematic Review
• Diagnostic Accuracy
• Medical Testing
• +5 more

Clare Davenport is an active Clinical Associate Professor in the Institute of Applied Health Research within the Applied Health Sciences school at the University of Birmingham. With a prolific research career spanning over three decades since 1994, she has produced 105 research outputs and leads multiple significant projects funded by major UK research bodies including NIHR, MRC, and Cancer Research UK. Her research interests center on diagnostic accuracy, systematic reviews, and medical testing methodologies, with particular expertise in ovarian cancer diagnosis, peripartum cardiomyopathy, skin cancer, and direct-to-consumer self-testing. Her work bridges clinical practice and methodological research, focusing on improving diagnostic pathways and decision-making in healthcare settings. Analysis of her 15 most recent publications reveals a strong emphasis on evaluating diagnostic tools and risk prediction models, particularly in women's health and cancer diagnosis. Her research demonstrates consistent methodological rigor with frequent use of systematic reviews, meta-analyses, and large-scale cohort studies. Recent work has increasingly focused on the evaluation of direct-to-consumer testing in the UK healthcare context. CRUK DTCT (Cancer Research UK project, 2024-2025) - Principal Investigator NIHR BRC Theme - Data, Diagnostics & Decision Tools (2022-2027) - Researcher ROCkeTS Study (2014-2026) - Co-Investigator TEST Project (2020-2025) - Researcher APPEAL Programme (2016-2023) - Co-Investigator Her research has garnered significant attention in both academic and public spheres, with several publications being widely covered by news outlets (one paper picked up by 160 news outlets) and discussed across social media platforms. This demonstrates the real-world impact and relevance of her work in shaping healthcare policy and practice.

• Digital Scholarship
• Online Learning
• Open Education
• +4 more

Katy Jordan is a Lecturer at the School of Social Sciences , Lancaster University. Her work focuses on digital scholarship, educational technology equity, and social media’s role in higher education. She leads research in SMS-based learning solutions and open educational practices. Digital Scholarship Online Learning (formal/informal) Open Education EdTech Equity MOOCs Social Media in Higher Education Her publications examine algorithmic biases in academic searches, SMS learning in low-connectivity contexts, and global EdTech effectiveness. She actively contributes to conferences like OER and Social Media in Higher Education, and serves as an editor for the British Journal of Educational Technology . PhD Students : Xin Liu Laura Riella She is affiliated with the Centre for Technology Enhanced Learning , advancing equitable digital learning solutions.

• Machine learning
• Artificial intelligence
• Information systems
• +1 more

Brooks Paige serves as an Associate Professor in Machine Learning at University College London's Department of Computer Science, where he leads research at the intersection of artificial intelligence, computational biology, and environmental science. His work bridges theoretical machine learning with high-impact applications in drug discovery, genomics, and climate modeling. His research portfolio spans: Machine Learning (core methodology development) Artificial Intelligence (generative models and deep learning) Information Systems (data-intensive applications) Cognitive and Computational Psychology (human-AI interaction aspects) Analysis of his 56 publications (2021-2025) reveals a dominant focus on generative modeling for molecular design, particularly protein-ligand binding prediction and antibody-epitope analysis. His methodological innovations include Gibbs sampling variants, Gaussian processes on non-Euclidean domains, and active learning frameworks, applied across biomedical and environmental domains including Arctic sea ice forecasting and urban analytics. No scientific awards are documented in available sources. Similarly, student advisement records, research grant details, laboratory facilities, and collaborative team structures remain unspecified in the current dataset.