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Illia Pasichnichenko is an Assistant Professor in Economics at the University of Sussex Business School, Department of Economics. He joined the University of Sussex as a faculty member in 2024 after holding postdoctoral positions at Queen Mary University of London (2022-2024), University of Bristol (2021-2022), and Heidelberg University (2018-2020). His educational background includes a PhD in Applied Mathematics from Kyiv Polytechnic Institute, Ukraine (2012-2016). Dr. Pasichnichenko's research focuses on theoretical and experimental approaches to understanding economic decision-making. His work bridges mathematical rigor with empirical validation in economic theory, particularly examining how individuals process information and make decisions under various forms of uncertainty. His research methodology combines sophisticated mathematical modeling with experimental validation to test theoretical predictions. His publication record shows a consistent progression of work in microeconomic theory, with recent publications focusing on information economics and ambiguity aversion, building on earlier foundational work in nonstochastic risk modeling and decision theory. The research spans from highly mathematical approaches to experimental testing of economic theories, demonstrating both theoretical depth and empirical relevance. His notable achievements include: Awarded the 2021 Jaffray lecture at RUD Recipient of the prestigious Humboldt Research Fellowship for Postdoctoral Researchers Dr. Pasichnichenko has received significant research funding including the Humboldt Research Fellowship for Postdoctoral Researchers at Heidelberg University (2018-2020) and has maintained an active research program with multiple ongoing projects. His current research agenda includes work on identifying behavioral types and analyzing partial information value with prominent collaborators.

• Microeconomic Theory
• Decision Theory
• Experimental Economics

Dr. Yi Li is a Lecturer in Applied Mathematics at the School of Mathematical and Physical Sciences, University of Sheffield. His research focuses on fluid mechanics, particularly turbulence, with emphases on flow optimization, simulation, and stochastic modeling. He explores topics such as downscaling in multi-scale systems, data assimilation for turbulence modeling, and chaos synchronization in turbulent flows. Research Themes: Downscaling: Explores self-similarity properties in turbulent flows to improve subgrid-scale modeling. Flow Optimization: Combines machine learning and data assimilation to enhance turbulence predictions, addressing challenges like pollution control and weather forecasting. Stochastic Modelling: Investigates particle and bubble dynamics in turbulent flows to understand mixing and dispersion processes. Teaching: Dr. Li teaches advanced modules including Operations Research, Magnetohydrodynamics, and Topics in Advanced Fluid Mechanics. Publications: His work spans fluid dynamics, computational methods, and signal processing, with notable contributions to turbulence modeling, ultrasonic applications, and data-driven approaches. Recent publications focus on machine learning applications in bubbly flows and 4DVAR data assimilation techniques. PhD Supervision: Offers supervision in fluid mechanics, turbulence, and interdisciplinary projects combining data science with fluid dynamics. Prospective students can contact him via email .

• Fluid Mechanics
• Turbulence
• Flow Optimization
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Dr. Gabriel S. Koch is a Senior Lecturer in Mathematics at the University of Sussex, affiliated with the Department of Mathematics within the School of Mathematical and Physical Sciences. His research focuses on the analysis of nonlinear partial differential equations, particularly the Navier-Stokes equations, which describe viscous fluid dynamics. Koch holds a Ph.D. from the University of Minnesota (2006) and has held academic positions at the University of Chicago, Oxford University, and the University of Zürich before joining Sussex in 2011. He was promoted to Senior Lecturer in 2016. Education: B.A. in Mathematics, Brandeis University (1996-1999) Ph.D. in Mathematics, University of Minnesota (2000-2006; advisor: Vladimír Šverák) Research Interests: Koch’s work centers on the theoretical analysis of fluid mechanics equations, especially the Navier-Stokes equations. His contributions include studies on regularity criteria, singularity formation, and profile decomposition techniques. Recent efforts emphasize understanding blow-up phenomena and critical Besov norms in fluid dynamics models. Publications & Grants: Koch has published extensively on Navier-Stokes regularity and related PDEs. Notable work includes a 2016 EPSRC-funded project analyzing Navier-Stokes regularity, culminating in a 2017 workshop on fluid equations. His research bridges pure and applied mathematics, with applications to both theoretical and computational fluid dynamics. Grants: EPSRC First Grant (2015-2017): Focused on Navier-Stokes regularity, supporting a workshop on fluid equations.

• Partial Differential Equations
• Fluid Mechanics
• Mathematical Analysis
• +3 more

Dr. Adriana Brenis Castro is a Research Fellow in the Economics of Trade at the University of Sussex Business School. She is affiliated with the UK Trade Policy Observatory (UKTPO) and holds an MSc in Business, Finance and Economics along with a PhD in Economics from the University of Sheffield. Specializes in applied micro-econometrics and causal inference techniques, including difference-in-difference (DiD), staggered DiD, propensity score matching, and instrumental variables. Research focuses on international trade, economic policy analysis, and innovation, with experience working on large datasets at individual, firm, and industry levels in Peru and Spain. She has taught courses such as Mathematical Methods for Economics, Economic Analysis and Policy, Public Policy Evaluation, and Applied Microeconometrics at the University of Sheffield and Sheffield Hallam University. Her work bridges empirical economic methods with policy-relevant research.

• International Trade
• Labour Economics
• Innovation and Development

Feixuan Yang is a Researcher at the School of Mathematics, Physics and Electrical Engineering at Northumbria University. With 6 peer-reviewed publications spanning 2024–2025, their work focuses on interdisciplinary research in wireless power transfer, acoustic wave technologies, and biomedical engineering applications. They have contributed to 5 citations and over 135 research downloads. Educational Background: Doctor of Philosophy (PhD) in Mathematics, Physics, and Electrical Engineering from Northumbria University. Research Interests: Wireless power transfer systems with a focus on parity-time symmetric configurations and high-order S-SPC topologies. Development of acoustic wave-based wearable medical devices for transdermal drug delivery. Renewable energy optimization through advanced MPPT algorithms for solar systems under partial shading. Integrated surface acoustic wave platforms for environmental monitoring (e.g., icing/fogging protection). Recent Research Trends: Yang’s articles emphasize practical applications of acoustic and electromagnetic systems in healthcare, energy, and environmental engineering. Collaborations with institutions in multiple countries highlight their global research network. Labs/Teams: Engaged in cross-disciplinary teams within Northumbria’s School of Mathematics, Physics, and Electrical Engineering, focusing on applied physics and engineering innovation.

• Wireless Power Transfer
• Acoustic Wave Technology
• Renewable Energy Systems
• +3 more

Dr. Jonathan Bevan is a Reader in Mathematics at the University of Surrey, affiliated with the School of Mathematics and Physics. His career includes roles such as RCUK Academic Fellow (2005–2010), Lecturer (2010–2016), and Senior Lecturer (2016–2019) at Surrey. He obtained his undergraduate degree from St. Anne's College, Oxford (1995–1999) and his PhD under Prof. J. Ball at Oxford (1999–2003). He has held postdoctoral fellowships at the Max Planck Institute for Mathematics in the Sciences and at Balliol College, Oxford. His research focuses on calculus of variations , nonlinear elasticity , and regularity theory , with particular emphasis on polyconvex functions, functional inequalities (e.g., Poincaré), and the analysis of energy minimizers. His work often explores the interplay between convexity properties and material behavior, such as cavitation, cavitating maps, and incompressible flows. Notable contributions include studies on Hadamard’s inequality in the mean, uniqueness criteria in variational problems, and the mathematical modeling of physical systems such as the Wirtz pump. His publications span journals like Nonlinear Analysis , Archive for Rational Mechanics and Analysis , and SIAM Journal on Mathematical Analysis . Education: Bachelor’s degree: St. Anne’s College, Oxford (1995–1999) PhD in Mathematics: University of Oxford (1999–2003) Key Research Themes: Polyconvexity and its applications Regularity of elastic energy minimizers Functional inequalities (Poincaré, Hadamard) Grants and Collaborations: EPSRC Postdoctoral Research Fellow (2003–2005) RCUK Academic Fellow (2005–2010)

• Calculus of Variations
• Nonlinear Elasticity
• Partial Differential Equations
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Martin Wolf is an Associate Professor in Mathematics at the School of Mathematics and Physics, University of Surrey , with affiliations to the Quantum Sciences Group . His career spans institutions including the University of Cambridge, Imperial College London, and Leibniz University Hannover, where he earned his PhD in mathematical physics (summa cum laude). He has held prestigious fellowships such as the STFC Postdoctoral Fellowship and Senior Research Fellowships at Wolfson College, Cambridge. Research Interests : Quantum field theory, higher gauge theory, twistor geometry, string/M-theory, and fluid dynamics. His work bridges formal mathematics and applied physics, focusing on algebraic structures like L∞-algebras and BV■-algebras to unify gauge theories with gravity and explore integrable systems. Grants : Serves as Principal Investigator for STFC Consolidated Grants (e.g., £277k, 2023-2027) and supervises doctoral studentships. Key Publications : Developments in color-kinematics duality , double copy constructions , and twistor-based formulations of supersymmetric theories, with applications to 10-dimensional supergravity and 6D superconformal field theories. Teaching : Delivers modules in Linear Algebra , Curves and Surfaces , and advanced topics in Relativity and Quantum Mechanics . Event Organisation : Co-organised major conferences including the LMS/EPSRC Durham Symposium on Higher Structures in M-Theory and Clay Workshop Geometry and Fluids .

• Quantum Field Theory
• Gauge Theory
• Gravity
• +7 more

Professor Mahmoud Shafiee is a globally recognized academic and researcher at the University of Surrey , holding the Chair in Resilient Energy at the School of Mechanical Engineering Sciences. He directs the Energy Resilience Centre and leads the REF 2029 Engineering Unit of Assessment . His career spans leadership roles at Cranfield University, University of Kent, and University of Sheffield, alongside research fellowships in Sweden and Canada. He is a Fellow of the Institute for Sustainability and serves on committees for Institution of Mechanical Engineers (IMechE) , European Safety & Reliability Association (ESRA) , and Engineering Integrity Society (EIS) . Education : PhD, Chartered Engineer (CEng), Postgraduate Certificate in Higher Education (PGCHE), Senior Fellow of the Higher Education Academy (SFHEA) Professional Memberships : Fellow of IMechE, Member of IET, BINDT, Energy Institute, and advisory roles at RenewableUK, WindEurope, and GWEC His research focuses on Energy Systems Resilience , Structural Health Monitoring , Digital Twins , Machine Learning , and Circular Economy applications in renewable energy. Recent work integrates Industry 4.0/5.0 technologies into offshore wind and hydrogen systems. His 15 most recent articles emphasize machine learning for energy consumption prediction, digital twins for structural monitoring, and circular economy strategies in wind turbine recycling. Scientific Awards : Best Paper Award 2025 (Energies), Fellow of Institute for Sustainability (IfS) Grants & Collaborations : Principal Investigator for UK-Brazil Smart Wind Monitoring Project; Co-Investigator in €5.3M Horizon Europe Digital Twins for Wind Power; lead in £20M UK Clean Maritime Programme and £1.3M Hydrogen Transportation Project Supervision : Supervised 22 PhD, 80 MSc/MRes, and 200 BEng/MEng students. Highlights include advising on offshore wind life performance, structural monitoring, and PEM Fuel Cell modeling. Editorial Roles : Associated Editor and Editorial Board member for journals in Resilience Engineering, Renewable Energy, and Prognostics & Health Management (PHM). Conferences : Plenary speaker at international events on topics like hydrogen refueling resilience and remanufacturing strategies for renewable assets.

• Energy Systems Resilience
• Sustainable Energy
• Structural Health Monitoring
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Dr. Silvia Pani is a Senior Lecturer in Applied Radiation Physics at the University of Surrey, part of the School of Mathematics and Physics. She holds a Laurea in Physics from the University of Trieste (1996) and a PhD in Physics (2001). Her career includes postdoctoral work on synchrotron beamlines, a Marie Curie Fellowship at University College London (2004), and roles at Queen Mary University of London and Barts NHS Trust. She joined Surrey's Physics Department in 2008 and became Senior Lecturer in 2017. Roles: Programme Director (MSc Medical Physics), Radiation Protection Supervisor Education: Postgraduate Certificate in Academic Practice (2010) Research focuses on X-ray imaging techniques for medical and security applications, including breast imaging, quantitative spectroscopic methods, and adaptation of synchrotron techniques to laboratory settings. Key collaborations involve institutions like Rutherford Appleton Labs, University of Manchester, and the Home Office. Publications emphasize hyperspectral detectors, scatter-free imaging, and CT optimization. Her work combines detector development with clinical applications, aiming to improve diagnostic accuracy while reducing radiation dose.

• Medical Imaging
• Radiation Physics
• X-ray Techniques
• +4 more

Richard G. Forbes is a Visiting Associate Professor at the School of Mathematics and Physics, University of Surrey. Formerly a Reader in High Electric Field Nanoscience, he retired in 2006 but remains active in research. His career includes roles at Trinity College, Cambridge; Aston University; and Surrey's Department of Electrical Engineering. He holds advanced degrees (MA, PhD, DSc) and prestigious fellowships, including Inaugural Fellow of the International Field Emission Society (IFES) and Fellowships of the Institute of Physics and Institution of Engineering and Technology. Education: Trinity College, Cambridge (Natural Sciences Tripos, Physics; PhD in Field Ion Microscopy). Research interests focus on high electric field nanoscience, field emission theory, quantum tunneling, density functional theory, and standardization in FE literature. He has contributed to nanotechnology education, outreach, and international standardization initiatives. Key awards include IFES President roles, Russian Academy of Natural Sciences membership, and leadership in UK engineering education committees. His work bridges theoretical physics, applied electronics, and materials science, with over 50 publications in peer-reviewed journals and conference proceedings. Recent research topics include DFT analysis of carbon nanotubes, FE theory modernization, and integrity of FE literature. Collaborations span Brazil, Russia, and international standards bodies. He advises on FE technological applications and contributes to atom probe tomography best practices.

• High Electric Field Nanoscience
• Field Electron and Field Ion Emission Theory
• Quantum Tunneling Theory
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Dr. Gemma Taylor is a Professor and Reader in the Department of Psychology at the University of Bath, specializing in epidemiology and behavioral science. Her work focuses on tobacco epidemiology, mental health benefits of smoking cessation, and integrating smoking cessation interventions into psychological services. She has over 15 years of experience across NHS, private, and academic sectors. Dr. Taylor holds a PhD in Epidemiology from the University of Birmingham (2015), an MSc in Applied Clinical and Health Psychology from the University of Worcester (2011), and a BSc in Psychology & Biology from the University of Worcester (2009). She teaches statistics and research methods across various programs, including Psychology BSc/MSc, Clinical Psychology Doctorate DClinPsy, and Mathematics at Bath, and previously at Bristol and Birmingham. Her research emphasizes causal inference, randomized controlled trials, behavioral science, and real-world data analysis. She has secured £1.5M as PI and £35M as Co-I from MRC, NIHR, and CRUK. Notable awards include multiple Most Read Paper Awards (2024), High-Impact Award (2023), and Early Career Awards (2021, 2018). Projects include studies on cannabis-tobacco interactions, smoking cessation in COPD patients, and clinical psychology curriculum evaluation. Her 67+ publications cover systematic reviews, meta-analyses, and commentaries in journals like BMJ, Lancet Psychiatry, and Cochrane Reviews. She leads teams at the Addiction and Mental Health Group (AIM) and the Centre for 21st Century Public Health. Supervised doctoral students and grants focus on behavioral interventions and public health policy.

• Epidemiology
• Behavioral Science
• Mental Health
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David Calderbank is a Professor in the Department of Mathematical Sciences at the University of Bath, where he actively accepts doctoral students. His research focuses on geometric representation theory, integrable systems, and special structures in differential and algebraic geometry. He has been Principal Investigator (PI) on three projects funded by the London Mathematical Society between 2015-2015, including 'Gluing Techniques in Complex Geometry,' 'Vertex Operator Algebras,' and collaborative research with Dr E Legendre. His work spans advanced topics in geometry, with notable contributions to projective geometry, CR structures, and metrizability theories. Research interests include the interplay between geometry and physics, particularly in integrable systems, and the study of extremal metrics in Kähler and Sasaki geometries. His projects emphasize interdisciplinary collaboration, reflecting his expertise in both pure and applied geometric problems.

• Geometric Representation Theory
• Continuous and Discrete Integrable Systems
• Differential Geometry
• +3 more

Alexander John Barkway Russell is a Senior Lecturer in Solar/Magnetospheric Theory at the University of St Andrews , affiliated with the Department of Applied Mathematics . His research focuses on plasma dynamics in astrophysical contexts, including solar flares, Alfvén waves, and magnetohydrodynamic processes. He has contributed to over 36 research outputs, with recent publications in The Astrophysical Journal and Geophysical Monograph Series . Russell’s work explores topics such as turbulent magnetic reconnection, plasma turbulence, and observational studies of flare atmospheres. His 2025 paper on Flux-rope-mediated turbulent magnetic reconnection and collaborations using NASA’s IRIS spectroscopy highlight his expertise in solar physics. His research also examines nonlinear damping of Alfvén waves and structural evolution of reconnection layers in plasmas. While no specific grants or awards are listed, his prolific output and international collaborations (e.g., with researchers like G. Hornig and J. Lörinčík) underscore his active role in advancing solar and space physics. His ORCID profile ( 0000-0001-5690-2351 ) and contact details ( ar51@st-andrews.ac.uk ) facilitate academic engagement.

• Solar Physics
• Magnetospheric Theory
• Plasma Physics
• +3 more

Dr. Suhan Zhang is a Researcher in the School of Electrical and Electronic Engineering at the University of Sheffield, specializing in power systems engineering and integrated energy systems. His research focuses on optimizing cross-sector energy systems, cybersecurity in cyber-physical infrastructure, and developing advanced simulation and optimization methods for gas-electricity coupling, multi-timescale security analysis, and distributed energy resource management. He leads projects on fast gas flow calculation, dynamic energy flow analysis, and AI-driven approaches for energy storage system vulnerabilities. His work bridges theoretical advancements with practical applications in smart grid technologies and energy market mechanisms. Key research areas include: Integrated electricity-gas-heating systems Cyber-physical interdependence analysis Optimization under uncertainty Physics-informed machine learning Energy storage system security Multi-scale energy market design Recent contributions highlight novel methods like semi-implicit simulation approaches for fault propagation analysis, physics-informed neural networks for gas flow modeling, and truthful combinatorial auctions for regulation reserve aggregation. His work is published in top-tier journals and conferences, addressing both foundational and applied challenges in energy systems engineering.

• Power Systems Engineering
• Integrated Energy Systems
• Cyber-Physical Systems
• +3 more

Ian Hamilton is an Honorary Research Fellow in the Department of Statistics at the University of Warwick. He holds a PhD in Statistics (supervised by Dr. Nick Tawn and Prof. David Firth) and an MSc from Warwick, following a BA in Mathematical Sciences from the University of Oxford. His research focuses on ranking methodologies derived from pairwise comparisons, with applications to sports, economics, politics, and organizational culture. Education: PhD in Statistics, University of Warwick (2021) MSc in Statistics, University of Warwick (2018) BA in Mathematical Sciences, University of Oxford Research Interests: Hamilton explores how statistical ranking systems intersect with diverse fields. His work bridges theoretical frameworks like the Bradley-Terry model with practical applications in sports analytics, policy analysis, and organizational studies. Notable projects include critiquing NCAA ranking systems and modeling rugby performance using retrodictive techniques. Teaching & Leadership: Chair, Statistics PhD Staff Student Liaison Committee (2020–2021) Treasurer, Royal Statistical Society West Midlands Local Group (2020–present) Taught courses including Bayesian Decision Analysis and Probability Theory. Awards: Runner-up, Royal Statistical Society Euro 2020 Prediction Competition (2021) Winner, Productivity and Futures of Work Essay Competition (2021) Warwick Student Enterprise Fund Award (2021) Projects: Includes organizational network analysis research and a study on university vs. school tutorial teaching effectiveness. Active in statistical outreach through presentations at conferences like the Royal Statistical Society International Conference.

• Statistics
• Ranking Systems
• Sports Analytics
• +5 more