Find Academic Supervisors

Eleni KaplaniView profile

Associate Professor

• Solar Energy
• Photovoltaics
• Nanotechnology
• +3 more

Dr. Eleni Kaplani is an Associate Professor at the University of East Anglia's School of Engineering, Mathematics and Physics, specializing in Solar Energy and Photovoltaics. She holds a PhD in Electronic Engineering from the University of Kent and has over 15 years of research experience in solar irradiance prediction, PV degradation diagnostics, and nanotechnology-enhanced PV performance. Her roles include MSc Course Director and Associate Editor of Heliyon Energy (Elsevier). Education: PhD in Electronic Engineering (University of Kent). Previous positions include Research Associate in the INTERREG IIIA project, Senior Research Fellow at the Renewable Energy Systems Lab, and Adjunct Lecturer at the University of Peloponnese. Research Interests: Non-Destructive Testing (NDT) for PV degradation, electro-optical characterization, nanocoatings for self-cleaning/anti-reflective properties, spatiotemporal solar radiation modeling, dynamic PV performance prediction, and integration of PV in buildings/vehicles. She leads projects funded by the Engineering and Physical Sciences Research Council (EPSRC), focusing on interdisciplinary applications of Raman Microscopy and PV system optimization. Key Projects: Addressing Interdisciplinary Challenges through Raman Microscopy (2020-2022), involving collaborations across multiple disciplines. Her work contributes to UN Sustainable Development Goals related to affordable clean energy and climate action. Labs/Teams: Active in the University of East Anglia's Sustainable Energy research group and collaborates internationally on renewable energy systems. Supervises PhD students in solar energy and photovoltaics, offering guidance on funding and project development.

Shengchao QinView profile

Professor

• Formal Methods
• Programming Languages
• Software Engineering
• +3 more

Dr. Shengchao Qin is a Professor of Computer Science at Teesside University's School of Computing & Digital Technologies, specializing in formal methods and software verification. He holds a BSc and PhD from Peking University, with postdoctoral experience at the Singapore-MIT Alliance. As Associate Dean for Research & Innovation (2016-2019), he led strategic research initiatives. His research focuses on automated verification of software safety/security, program analysis, and cyber-physical systems. Major funded projects include EPSRC grants for resource analysis of embedded software (£403k) and inference mechanisms for separation logic domains (£213k). He actively contributes to academic service as Program Committee Chair for ICFEM/TASE conferences, steering committee member for formal methods symposiums, and editorial roles for IEEE Access and Science of Computer Programming. Collaborations span top institutions including National University of Singapore and Peking University. Research Supervision: Current PhD advisees: Chris Curry, Yang Liu, Colin Joy, Ndidi Ogbo Former supervisees: Zhang Zhang (PhD '20), Florin Craciun (Postdoc), Ryuta Arisaka (PhD '13)

Tannaz PakView profile

Associate Professor

• Biochar and Sustainable Materials
• Groundwater Remediation
• Water Treatment Technologies
• +3 more

Tannaz Pak is an Associate Professor (Research) in Energy and Environmental Engineering at Teesside University and holds an honorary Associate Professor title at Heriot-Watt University. Her research focuses on biochar applications, groundwater remediation, nanotechnology, and porous media dynamics. She has been recognized as one of the Top 50 Women in Engineering (2021) and is a Chartered Engineer (CEng FIMMM) and Fellow of Advance HE (FHEA). Educated at the University of Edinburgh (PhD in Geosciences, 2015), IFP School (MSc in Reservoir Geoscience and Engineering), and an engineering BSc from Iran, her work bridges environmental engineering, materials science, and subsurface fluid dynamics. She leads projects funded by UKRI, British Council, and others, including biochar valorization and nanoremediation initiatives. Tannaz is actively involved in editorial roles for Scientific Reports and InterPore Journal, and collaborates internationally with institutions in China, Nigeria, Brazil, and Italy. Her research themes include Engineering biochar for water/soil treatment Groundwater remediation using nanomaterials Pore-scale modeling of reactive transport Toxicity assessment of nanomaterials . She supervises PhD students on topics like biochar applications and nanoparticle mobility in porous media. Recent projects include the African Agriculture KTP (valorizing cassava waste) and the AMIGO-Biochar initiative (cross-border biochar manufacturing). Her work emphasizes sustainable technologies while evaluating environmental and health impacts, supported by advanced imaging (e.g., X-ray tomography) and computational modeling. Professional activities include roles on the InterPore UK steering committee and Diamond Light Source’s I12 User Working Group. She teaches at Teesside and has examined MSc courses at Heriot-Watt University.

Mark BlythView profile

Professor

• Fluid Mechanics
• Low Reynolds Number Flows
• Thin Films
• +6 more

Mark Blyth is Professor of Applied Mathematics at the University of East Anglia's School of Engineering, Mathematics and Physics, where he also serves as Director of Research for Mathematics. His research focuses on fundamental and applied aspects of fluid mechanics. Research expertise includes: Low Reynolds number flows and interfacial phenomena Nonlinear wave dynamics and stability analysis Thin film hydrodynamics with electric field effects Biological fluid transport and hydroelastic waves Marangoni-driven flows and multi-layer systems Recent publications demonstrate broad contributions to theoretical and computational fluid dynamics, particularly in free-surface flows, wave stability, and inverse problem solutions. Research spans fundamental mathematical modeling to applications in biological systems and industrial processes.

Kalliopi MylonaView profile

Senior Lecturer

• Design of Experiments (DOE)
• Statistical Methodology
• Pharmaceutical Science
• +7 more

Kalliopi Mylona is a Senior Lecturer in Statistics at King's College London's Department of Mathematics, part of the Faculty of Natural, Mathematical & Engineering Sciences. She chairs the Equality Diversity and Inclusion committee in her department. Her research focuses on experimental design optimization, particularly in factorial experiments and their application to real-world problems in pharmaceuticals, materials science, agriculture, and biostatistics. She holds a PhD in Statistics from the National Technical University of Athens (2009) and has held postdoctoral positions at the University of Antwerp and Carlos III University of Madrid. Her work emphasizes efficient experimental methodologies to reduce resource waste and improve knowledge generation. Education includes a Master's in Applied Mathematical and Physical Sciences (NTUA) and a PhD in Statistics (NTUA). She has taught at multiple institutions including the University of Piraeus and Athens University of Economics. Her research collaborations span biostatistics (e.g., with Hippocratio Hospital), meta-analysis of clinical trials, and interdisciplinary projects with engineers, chemists, and sociologists. Key contributions include developing optimal split-plot designs, multi-objective optimization algorithms, and Bayesian experimental design methods. Her articles address variance component estimation, hybrid nonlinear models, and communicating statistical results to non-statisticians. She has secured research grants including Marie Curie fellowships and CONEX funding, enabling global collaborations. Her work bridges statistical theory with practical applications across diverse scientific domains.

Mathini SellathuraiView profile

Professor

• Signal Processing
• Wireless Communications
• Radar Signal Processing
• +5 more

Prof. Mathini Sellathurai is a Full Professor and Dean of Science and Engineering at Heriot-Watt University, Edinburgh. She leads the Signal Processing for Intelligent Systems and Communications Lab, with expertise in radar technology, MIMO systems, and wireless communications. Her research focuses on adaptive signal processing applications in radar, lidar, sonar, and RF networks. She holds adjunct roles at McMaster University and has served on IEEE editorial boards and technical committees. Education & Experience: PhD with NSERC doctoral award Industrial experience at Bell Laboratories (2000) and Canadian Communications Research Centre (2001-2004) Research Interests: Signal Processing innovations in parasitic antennas, MIMO radar, cognitive radio, and underwater communications. She explores network coding, iterative receiver design, and beamforming techniques to enhance communication systems efficiency and performance. Awards: IEEE Ellersick Best Paper Award (2005) Industry Canada Public Service Awards (2005) Technology Transfer Awards (2004) Teaching & Leadership: Teaches electrical engineering fundamentals, image processing, and advanced analysis. Oversees multi-institutional projects funded by EPSRC, DSTL, and EU Framework programs (e.g., Cognitive Radio Oriented Wireless Networks). Labs & Collaborations: Heads the Signal Processing Lab (EM 3.24), collaborating on EU-funded initiatives and industry partnerships with QinetiQ and Wireless Fiber Systems. Active in defense-related radar research through UDRC and EPSRC grants.

Taolue ChenView profile

Senior Lecturer

• Artificial Intelligence
• Machine Learning
• Natural Language Processing
• +6 more

Taolue Chen is a Senior Lecturer in the School of Computing and Mathematical Sciences at Birkbeck, University of London. He holds a PhD from Vrije Universiteit Amsterdam and MSc/BSc degrees from Nanjing University, China. His research focuses on neuro-symbolic software engineering, combining AI (Machine Learning/NLP) with formal methods in software engineering, program analysis, and verification. He has published extensively in top conferences like POPL, OOPSLA, and NeurIPS, and has received multiple awards including the ACM SIGSOFT Distinguished Paper Award (2024). Education: PhD: Centrum Wiskunde & Informatica (CWI) and Vrije Universiteit Amsterdam (2010s) MSc: Computer Science, Nanjing University (China) BSc: Computer Science, Nanjing University (China) Research Interests: Taolue's work bridges AI and traditional software engineering, with a focus on neuro-symbolic systems, code generation, adversarial robustness, and formal verification of cryptographic programs. He explores synergies between statistical (deep learning) and logical (constraint solving) methods to address challenges in software verification and cybersecurity. Articles Overview: His recent work emphasizes code generation improvements, adversarial defense mechanisms, and formal verification of secure cryptographic implementations. Key themes include enhancing model robustness, optimizing documentation in code generation, and applying large language models to symbolic reasoning tasks. Awards: Best Paper Award at SETTA’20 (2020) 1st Prize in CCF Software Prototype Competition (2022) QF Strings Competition Win (2023) ACM SIGSOFT Distinguished Paper Award (2024) Advising & Grants: Advises PhD student JEFERSON DORNELLES SCHNEIDER. His work is supported by grants focusing on neuro-symbolic systems, cybersecurity, and formal methods for software engineering. Labs/Teams: Leads research groups in neuro-symbolic software engineering and cryptographic verification at Birkbeck, collaborating with institutions like University of Oxford and University of Twente.

Emilie DufresneView profile

Lecturer

• Algebra
• Commutative Algebra
• Algebraic Geometry
• +5 more

Dr. Emilie Dufresne is a Lecturer in Algebra at the Department of Mathematics, University of York, where she has been employed since September 2018. She is a founding member of the UK-wide research network for Applied Algebra and Geometry, which is funded by the London Mathematical Society, the Edinburgh Mathematical Society, and the Glasgow Mathematical Journal Trust. Prior to her current position, she held prestigious fellowships including the Anne McLaren Fellowship at the University of Nottingham (2017-2018) and the LMS Grace Chisholm Young Fellowship (2015-2016). Her research focuses on the intersection of commutative algebra and algebraic geometry, with particular expertise in invariant theory, separating invariants, and applications to mathematical modeling. Dr. Dufresne's work bridges pure mathematics with practical applications, especially in structural identifiability and reparameterization of ODE models with time-series or steady-state data. Her recent publications demonstrate a strong trajectory in applying algebraic methods to biological systems and complex dynamical models. Analysis of her recent publications reveals a consistent focus on applying algebraic geometry and commutative algebra to solve problems in mathematical biology and physical systems. Her work shows increasing interdisciplinary collaboration, particularly with biologists and physicists, while maintaining strong theoretical foundations in invariant theory. The emergence of topological data analysis in her recent work indicates an expanding methodological toolkit for tackling complex systems. LMS Grace Chisholm Young Fellow (2015-2016) Anne McLaren Fellow (2017-2018) Dr. Dufresne actively supervises PhD students, currently advising Danny Hendron (since 2023) and Simon Hart (2020-2025), both co-supervised with Michael Bate. Her research has been supported by collaborations with major mathematical societies including the London Mathematical Society, Edinburgh Mathematical Society, and Glasgow Mathematical Journal Trust, which fund the UK-wide Applied Algebra and Geometry research network she co-founded. She maintains active international collaborations with researchers across Europe and North America. As a founding member of the UK-wide research network for Applied Algebra and Geometry, Dr. Dufresne participates in and helps organize collaborative research activities across the country. She has also been involved in specialized workshops such as the Workshop for women in commutative algebra (WICA III), which she co-chaired in 2024, demonstrating her commitment to community building and supporting underrepresented groups in mathematics.

Yutian TangView profile

Assistant Professor

• AI+SE (Large-language Model+SE)
• Program Analysis
• Empirical Software Engineering
• +4 more

Dr. Yutian Tang is an Assistant Professor at the University of Glasgow's School of Computing Science. He holds a Ph.D. from The Hong Kong Polytechnic University and a B.Sc. from Jilin University. His research focuses on AI-driven software engineering, program analysis, and mobile app security, with over 40 publications in top venues like ESEC/FSE and IEEE TSE. He has received awards including the ISSRE'18 Best Industry Paper and Shanghai Pujiang Talent Program. Current research emphasizes automated testing, bug localization, and LLM applications in software engineering. Education: Ph.D., Department of Computing, The Hong Kong Polytechnic University B.Sc., Computer Science, Jilin University Research Interests: His work spans AI+SE (Large Language Models in Software Engineering), automated testing, privacy protection, and malware detection. Notable contributions include XDebloat (app debloating) and tools for analyzing Android vulnerabilities. He actively explores LLM applications for code generation and test suite optimization. Grants & Funding: EPSRC Peer Review College member National Natural Science Foundation of China (NSFC) grant (2023-2025) OpenAI API Researcher Access Program (2024) Google Cloud Research Credits (2024) Service & Leadership: Editorial Board Member of Frontiers in Computer Science , PC member of ICSE, ESEC/FSE, ASE, and other top conferences. Active in reviewing for IEEE Transactions and ACM journals. Future Directions: Tool support for automated bug detection, LLM integration in software lifecycle, and large-scale binary code analysis.

Adeel ArshadView profile

Academic

• Thermal Management
• Phase Change Materials
• Nanocomposites
• +7 more

Dr. Adeel Arshad is a Research Associate in the Department of Mechanical, Biomedical and Design Engineering at Aston University's College of Engineering and Physical Sciences, actively contributing to thermal engineering research. He currently leads the Innovate-UK project 'CoolRun Malawi' for African-market thermal solutions using Phase Change Materials (PCMs). His educational background includes a PhD in Mechanical Engineering (Thermal-Fluids and Advanced Materials) from the University of Nottingham (2017-2021), an MSc in Mechanical Engineering (Thermal-Fluids) with Gold Medal from the University of Engineering and Technology Taxila (2014-2016), and a BSc in Mechanical Engineering with dual Gold Medals from COMSATS University Islamabad (2010-2014). Dr. Arshad's research centers on thermal management systems and advanced materials , specializing in nanocomposite PCMs for thermal energy storage and electronics cooling. His work integrates experimental methods with computational modeling (ANSYS-FLUENT, COMSOL Multiphysics) to develop innovative solutions including micro-porous heat sinks, hybrid nanofluids, and constructal design finned systems. Recent publications reveal a pronounced focus on electronics thermal management (60% of output), PCM optimization (30%), and solar energy integration (10%), with increasing emphasis on sustainable applications for developing markets. His scientific recognition includes: World's Top 2% Scientist ranking (Stanford University, 2021-2024) Scopus Early Career Researcher UK Award nomination (2020) Multiple Gold Medals and competitive scholarships throughout academic career Dr. Arshad actively mentors PhD students and serves as Guest Editor for MDPI special issues on composite PCMs. His professional service includes extensive peer review for major publishers (Elsevier, Springer Nature, IEEE) and editorial roles advancing thermal management research. He maintains active collaborations across the UK research ecosystem, particularly in developing PCM-based solutions for global thermal challenges.

Chris StopfordView profile

Professor

• Atmospheric Science
• Biodetection
• Air Quality Monitoring
• +3 more

Professor Chris Stopford is a faculty member at the University of Hertfordshire, leading the Particle Instruments & Diagnostics group within the Wolfson Centre for Biodetection and Instrumentation Research. He holds a professorial role in the Department of Physics, Astronomy, and Mathematics, part of the School of Physics, Engineering & Computer Science. His research focuses on advanced optical techniques for airborne microparticle detection, with applications in atmospheric science, biodetection, and public health. His work emphasizes practical instrument development and commercialization, including prototype instruments like UCASS and the Aerosol Ice Interface Transition Spectrometer (AIITS). Stopford collaborates on major projects such as the ALERT asbestos detector and the CAST field campaign in the tropics. His research spans particle phase discrimination, aerosol dynamics, and UAV-based remote sensing. Key achievements include real-time asbestos detection systems and calibration methods for optical particle spectrometers. He leads interdisciplinary efforts, leveraging UAVs for atmospheric profiling and satellite validation. Research Interests: Aerosol dynamics, optical particle classification, UAV-based monitoring, environmental instrumentation, and climate change studies. Projects: ALERT, CAST, FAAM dropsonde systems, and BIANKA balloon campaigns. Instrument Developments: UCASS, AIITS, Multiparameter Bioaerosol Spectrometer. His work bridges fundamental research and applied technology, addressing global challenges in air quality, public health, and climate science. Over 47 publications and 31 projects highlight his prolific output across atmospheric instrumentation and particle analysis.

André NgView profile

Professor

• Cardiac Electrophysiology
• Atrial Fibrillation
• Cardiac Arrhythmias
• +3 more

Professor André Ng is the Head of the Department of Cardiovascular Sciences at the University of Leicester and a Consultant Cardiologist/Electrophysiologist at University Hospitals of Leicester. His expertise spans cardiac arrhythmias management, catheter ablation, and innovative medical devices like the LifeMap system. He pioneered robotic AF ablation techniques and has led cross-disciplinary research teams since 2002. Notable awards include the Medical Futures Award 2011 and European Heart Rhythm Association Inventors Award 2016, alongside two international patents. Research focuses on cardiac electrophysiology mechanisms, translating preclinical findings into clinical applications. He collaborates with industry partners on pharmaceutical and device trials as national chief investigator. Professional leadership includes roles in the Royal Colleges, European Society of Cardiology, British Cardiovascular Society (Vice President for Research/Education), and Programme Committee Chair. Key contributions include advancing AF ablation technologies, AI-driven arrhythmia detection, and telemedicine innovations like the AF Virtual Ward. His work addresses disparities in cardiovascular care, particularly during humanitarian crises, and emphasizes gender equity in clinical research participation.

• Computer Algebra
• Sparse Interpolation
• Symbolic-Numeric Computation
• +4 more

Wen-shin Lee is a Lecturer at the University of Stirling's Division of Computing Science and Mathematics, specializing in computational mathematics and signal processing. Her research focuses on exponential analysis, sparse interpolation, and symbolic-numeric computation. She holds a PhD from North Carolina State University and has held positions at institutions like the University of Antwerp and INRIA. Current affiliations include the Computational Mathematics and Optimisation Research Group (COMMON). Education: Bachelor’s in Mathematics, National Taiwan University PhD in Computational Mathematics, North Carolina State University Research Interests: Her work bridges computer algebra and signal processing, emphasizing applications like antenna positioning, radar imaging, and texture decomposition. Recent trends include sub-sampled exponential analysis, validated algorithms, and high-resolution signal reconstruction from sparse data. Labs/Groups: Active in the COMMON group at the University of Stirling and collaborates on the EXPOWER project (Exponential Analysis Empowering Innovation).

• Computational Fluid Dynamics
• Aeronautical Systems
• High-Order Numerical Methods
• +5 more

Dr. Antonios Antoniadis is a Lecturer in Computational Engineering Science and Director of the Computational Fluid Dynamics (CFD) Masters program at Cranfield University. He leads the VR/AR Laboratory within the Aircraft Integration Research Center and a research group focused on computational methods for fluid dynamics. His expertise spans aeronautical systems, turbulence modeling, and renewable energy technologies. Education: BEng in Automotive Engineering, University of Sussex MSc in Mechanical Engineering, University College London PhD in Aerospace CFD, Cranfield University (2013) Research Interests: Dr. Antoniadis develops cutting-edge computational frameworks for engineering challenges. His work includes high-order numerical methods on unstructured grids, data-driven turbulence models, and multi-physics simulations. Applications range from helicopter aerodynamics and wind-farm optimization to supersonic flow analysis and fluid-structure interactions in morphing UAVs. He integrates AI/ML techniques for turbulence modeling and design automation, advancing sustainable aerospace solutions. Publication Trends: Recent articles highlight advancements in rotorcraft CFD, shock absorber fluid dynamics, and high-performance solver development. Predominant themes include validation of high-order schemes for transonic flows, vortex dynamics in hovering rotors, and scalable algorithms for renewable energy systems. His work consistently bridges theoretical computational methods with industrial aerospace applications. Awards: Fellowship of the Higher Education Academy (FHEA) Labs & Teams: Dr. Antoniadis directs a VR/AR laboratory pioneering human-computer interaction for CAE applications. His research group collaborates with industry partners (e.g., BAE Systems, Airbus, Red Bull Racing) on projects involving aerodynamic prediction, multi-phase flows, and HPC parallelization.

Sean HoldenView profile

Professor

• Automated Theorem Proving
• Machine Learning
• Artificial Intelligence
• +5 more

Sean Holden is a Professor in the Department of Computer Science and Technology at the University of Cambridge, affiliated with The Computer Laboratory. He holds positions at both the University and Trinity College. His research focuses on automated theorem proving, machine learning, and their intersections with formal methods and AI. He leads the development of the Connect++ theorem prover, which won the Best Newcomer award at CASC 2024. His work spans areas including connection calculus, graph neural networks, and reinforcement learning in games like Mahjong. Holden's academic contributions include over 50 publications in top venues such as IJCNN, ICPRAM, and Journal of Automated Reasoning. Notable works include foundational research on Bayesian methods in theorem proving and machine learning applications in bioinformatics and medical imaging. He serves as an Associate Editor for IEEE Transactions on Artificial Intelligence since 2023. His research group explores topics like protein graph embeddings, medical AI (e.g., breast cancer classification via MUGI-MRI), and the integration of machine learning with automated reasoning systems. Collaborations span institutions including Trinity College and international partners in computational biology and AI.