Find Academic Supervisors

Xi ChenView profile

Assistant Professor

• Financial Markets
• Asset Mispricing
• Behavioral Finance
• +4 more

Dr. Xi Chen is an Assistant Professor in Finance (Accounting and Finance) at the University of Sussex Business School since November 2019. He holds a PhD from the ICMA Centre, Henley Business School, University of Reading (2014), and has held roles including Visiting Research Associate at the University of Oxford (2015–2017) and Behavioural Scientist at Oxford Risk Ltd (2015–2019). Currently affiliated with Oxford Risk as an associate research fellow. Education: PhD in Finance (2014), University of Reading; MSc in Finance (2010–2011), University of Reading. Certifications: Fellow of the Higher Education Academy (FHEA). Research focuses on financial market dynamics, investor behavior, and FinTech innovations. Key areas include crypto-asset analysis, real options valuation, and machine learning applications. Proficient in Python, R, MATLAB, and Stata. Teaching includes modules like Programming in Finance, Portfolio Management, and FinTech and Financial Transformation. Active in developing new courses for undergraduate and postgraduate programs. Awards: Recognized for academic contributions through Fellow of the Higher Education Academy. Labs/Teams: Collaborates with Oxford Risk on behavioral science applications and maintains affiliations in academic and industry networks.

Rosanna ColeView profile

Senior Lecturer

• Sustainable Supply Chain Management
• Socially Responsible Sourcing
• Blockchain Technology
• +7 more

Rosanna Cole is a Senior Lecturer in Sustainable Supply Chain Management at the Department of Business Analytics and Operations, Surrey Business School, University of Surrey. She holds roles as Deputy Head of the Department of Business Analytics and Operations, Sustainability Fellow at the Institute for Sustainability, and Deputy Head of Business Transformation (2019-2020). Her research focuses on sustainable supply chain management, socially responsible purchasing, modern slavery eradication, and blockchain applications in supply chains. Previously, Cole worked at Roehampton Business School (2008-2016) and Deloitte LLP. She is a Senior Fellow of the HEA, Sustainability Fellow, and completed the Advanced Management Programme (2024). Her awards include Surrey Business School’s EC Researcher of the Year (2019). Research interests include supply chain intermediary roles, blockchain adoption, labor exploitation mitigation, and sustainable procurement practices. She collaborates with institutions like the University of Manchester, Lancaster University, and Cranfield University. Her work addresses global challenges such as refugee integration into supply chains and supply chain turbulence linked to geopolitical issues. Teaching includes modules on sustainable operations, supply chain governance, and ethics. She has advised PhD students at institutions like Deusto Business School and the University of Gloucestershire. Key projects include ROADS UK (asphalt sustainability), Syrian refugee workforce integration, and blockchain in healthcare device reverse logistics. Her articles span risk matrix improvements, labor exploitation governance, and temporal production dynamics.

Karl UmbleView profile

Associate Professor

• Public Health Leadership Development
• Program Evaluation
• Continuing Professional Education
• +3 more

Karl Umble, PhD, MPH, is an Associate Professor in the Department of Health Policy and Management at the University of North Carolina's Gillings School of Global Public Health. He has held leadership roles in public health education and workforce development programs, including directing the BSPH Program (2014-2019) and teaching courses in program evaluation, leadership development, and teaching methodologies. Education: BS in Biology/Chemistry (Juniata College, 1982), MPH in Health Behavior (UAB, 1987), PhD in Adult Education (UGA, 1998) Key Affiliations: North Carolina Institute for Public Health, National MCH Workforce Development Center His research focuses on leadership development in public health systems, program evaluation methodologies, and continuing professional education strategies. He has conducted evaluations for major CDC programs and international health initiatives in Vietnam and the Philippines. Umble emphasizes practical applications of evaluation findings to strengthen health management practices. Recent work includes leadership training programs like the National Public Health Leadership Institute and the Caribbean Health Leadership Institute. His teaching spans undergraduate capstone projects, doctoral seminars, and executive leadership training modules. Awards: Tanner Teaching Award (2015), Balderson Leadership Award (2007), Provost Service Award (2004) Grants/Projects: CDC Sustainable Management Development Program evaluations, Management Academy for Public Health impact studies Led development of the BSPH capstone curriculum and currently oversees evaluation activities at the National MCH Workforce Development Center. Active in global health leadership initiatives through Gillings' international partnerships.

Maria Luísa CoelhoView profile

Lecturer

• Comparative Literature
• Gender Studies
• Transnational Studies
• +5 more

Dr. Maria Luísa Coelho is a Camões Lector in Portuguese and College Lecturer at Lady Margaret Hall, University of Oxford. Her research focuses on interdisciplinary and transcultural approaches to Portuguese art and literature, emphasizing feminist perspectives, transnational dialogues, and diasporic identities. She teaches Portuguese language modules, specialized literature papers (e.g., Lídia Jorge), and contributes to the MSt in Women's Gender and Sexualities Studies through a course on 'Gender Bodies in Visual Art and Culture.' Her work bridges art and literature, exploring themes like gendered identities, cultural hybridity, and migration. Her research themes include Brazilian and Portuguese studies, contemporary creative multilingualism, critical theory, and visual/material culture. Notable projects analyze Anglo-Portuguese cultural relations and Afropean women artists. She has edited special issues on transnational Portuguese women writers and published extensively on artists like Helena Almeida and Bartolomeu Cid dos Santos. Teaching responsibilities include supervising theses and lecturing on art theory for the Sarah Lawrence Programme. Her publications (2016–2024) reflect deep engagement with feminist art practices, diasporic narratives, and the interplay between art and political contexts such as Estado Novo Portugal.

Vasily KrylovView profile

Research Fellow

• Representation Theory
• Mathematical Physics
• Algebraic Geometry
• +5 more

Vasily Krylov is a Benjamin Peirce Postdoctoral Fellow at Harvard University's CMSA, mentored by Prof. Dan Freed and supported by the Simons Foundation via the Simons Collaboration on Global Categorical Symmetries. He completed his PhD in Mathematics at MIT under Prof. Roman Bezrukavnikov. His research focuses on the intersection of representation theory, mathematical physics, and algebraic geometry, with a special emphasis on symplectic resolutions, integrable systems, 3D-mirror symmetry, and Coulomb branches. Affiliations: Harvard CMSA (2020–present), MIT PhD (2015–2020) Education: PhD in Mathematics (MIT, 2020), Prior studies include seminars on geometric representation theory and quantum groups. His work spans geometric realizations of algebraic structures, such as asymptotic affine Hecke algebras and Bethe subalgebras in Yangians, with applications to character formulas and symplectic duality conjectures. He co-organizes the Geometry and Quantum Theory (GQT) seminar at Harvard and has presented at institutions like the Perimeter Institute and Skoltech. Key research directions include: Proving Hikita-Nakajima conjecture for ADHM spaces and Slodowy slices Geometric Satake equivalence and Coulomb branch constructions Applications of Kazhdan-Lusztig theory to affine Lie algebras His recent articles address symplectic resolutions, Frobenius pushforwards on compactifications, and integrable crystal structures in representation theory.

Benjamin HayesView profile

Researcher

• Neural Audio Synthesis
• Generative Models
• Probabilistic Modelling
• +5 more

Benjamin Hayes is a research scientist at Sony Computer Science Laboratories Paris and a PhD candidate in Artificial Intelligence and Music at Queen Mary University of London's Centre for Digital Music (C4DM). His research focuses on neural audio synthesis, generative models, and perceptual aspects of sound design. He has held internships at Spotify, Sony CSL, and Bytedance, and previously worked as a music producer and lecturer in Electronic & Produced Music at the Guildhall School of Music & Drama. His work bridges digital signal processing, deep learning, and creative sound exploration. Education: PhD in AI and Music (Queen Mary University of London), Master’s/Undergraduate qualifications not explicitly stated but inferred from professional roles. Research Interests: Neural audio synthesis, differentiable digital signal processing, timbre perception, generative models, and psychoacoustics. Current project explores perceptually motivated deep learning approaches for sound synthesis, emphasizing semantic associations in timbre. Professional Experience: Over 10 years in music production, internships at leading tech firms, and academic collaborations across institutions like IRCAM, CNRS, and KTH. Key Contributions: Developed frameworks for end-to-end sound synthesis, addressed challenges in unordered neural network targets, and pioneered gamified systems for crowdsourcing timbre semantics (e.g., timbre.fun). Active in conferences such as ICLR, ICASSP, and DMRN workshops.

• Cognitive Neuroscience
• Perception
• Decision-Making
• +3 more

Prof. Floris de Lange is a Professor at the Donders Institute for Brain, Cognition and Behaviour, Radboud University, and holds a part-time W3-Professorship in Cognitive Computational Neuroscience at the University of Bonn. His research focuses on understanding how top-down factors like goals, attention, expectations, and prior knowledge shape perception, cognition, and decision-making. He uses behavioral and neuroimaging techniques (MEG, fMRI, TMS) to study these processes in healthy and pathological brains. Key research themes include predictive perception, attention, and the neural mechanisms underlying decision-making. His work has been supported by prestigious grants such as the Vici and ERC Consolidator Grants. He teaches courses on Attention and Prediction, Cognitive Control, and Neurophysiology of Cognition and Behaviour. Education: Not explicitly stated in the provided text. Awards: Vici Grant (NWO), ERC Consolidator Grant, Ammodo Science Award, and others. Labs/Teams: Leads the Predictive Perception and Cognition group within the Donders Institute. His research highlights the brain’s predictive nature, demonstrating how expectations modulate sensory processing in early visual cortex and influence decision-making. He collaborates internationally, including an adversarial testing project on theories of consciousness.

• Mathematics
• Harmonic Analysis
• Group Theory
• +5 more

Srivatsa Srinivas is a mathematician affiliated with the University of California, San Diego (UCSD), where he completed his PhD under Professor Alireza Golsefidy. His research focuses on applications of harmonic analysis, group theory, information theory, and number theory to the study of random walks on profinite groups. He also actively explores interdisciplinary projects in formal verification (using tools like Lean and SMT solvers) and computer graphics, with a recent focus on generalizing Dijkstra's algorithm. Education: PhD in Mathematics, UCSD (Advisor: Alireza Golsefidy) Research Interests: His work bridges pure mathematics and computer science, emphasizing: Random walks on algebraic structures Applications of harmonic analysis in group theory Formal verification techniques for number-theoretic problems Algorithmic innovations in computer graphics Recent Talks: Presented on 'Random walks on SL₂(F_p) × SL₂(F_p)' at the UCSD CS Theory Seminar (Dec 2024) and shared thesis defense slides offering an introduction to his foundational research.

Yudong ChenView profile

Assistant Professor

• Changepoint Detection
• High-dimensional Statistics
• Robust Statistics
• +4 more

Yudong Chen is an Assistant Professor in the Department of Statistics at the University of Warwick, starting September 2024. Previously, he was an LSE Fellow (2023–2024) and a postdoctoral researcher at the London School of Economics. He holds a PhD in Statistics from the University of Cambridge (2023), with a thesis on High-dimensional Online Changepoint Detection, supervised by Richard J. Samworth and Tengyao Wang. His research focuses on changepoint detection, high-dimensional statistics, robust methods, and machine learning. Education: PhD in Statistics, University of Cambridge (2023) MA & MMath in Mathematics, University of Cambridge (2018) BA in Mathematics, University of Cambridge (2018) Teaching: University of Warwick: Module leader for ST420 Statistical Learning and Big Data (2024/25) LSE: Taught ST202/6 Probability, ST447 Data Analysis, and ST449 Artificial Intelligence His research interests span statistical methodologies including online algorithms, robust statistics, and spatial models. He has published in top journals like the Journal of the American Statistical Association and presented at venues such as the IMS Annual Meeting. Awards include the LSE Class Teacher Award (2023) and the Smith–Knight Prize (2020). Grants: Worked on EPSRC-funded research on 'Change-point analysis in high dimensions' at LSE. Labs/Teams: Engaged in collaborative projects on online changepoint detection and statistical methodologies.

Jane WeaversView profile

Senior Lecturer

• Childhood Development
• Science Education
• Curriculum Development
• +3 more

Jane Weavers is a Senior Lecturer and Faculty Alumni Relations Co-ordinator at the University of Chester. She currently serves as Deputy Head of the Department of Childhood, Education and Professional Development (CEPD), overseeing non-QTS BA programmes and MA programmes. Her career spans roles in schools, including teaching science/mathematics in middle and primary schools, managing Foundation Stage units, and serving as SENCO. At the university, she specializes in teacher education and MA programme leadership. Education: B.Ed (Hons) from West Sussex Institute of Higher Education (1978-1982) MA Education from University of Worcester (1998-1999) Research Interests: Jane focuses on the interplay between children’s developmental stages and learning outcomes, particularly how life experiences influence education. She maintains a strong interest in science teaching methodologies and their global applications, alongside attachment theory, trauma, and mental health in educational settings. Her work integrates personal research findings into programme design and teaching practices. Teaching & Supervision: She leads modules on Pupils Identity and Agency and Transforming the Curriculum within MA Education programmes. Her engagement with Attachment, Trauma and Mental Health initiatives reflects her commitment to holistic student development. While no grants are explicitly mentioned, her leadership roles indicate involvement in programme development and institutional strategy. Labs/Teams: Collaborates with institutional partnerships focused on integrating mental health considerations into educational curricula and practices.

Peter KahnView profile

Professor

• Higher Education
• Critical Realism
• Digital Technologies
• +3 more

Professor Peter Kahn is a Chair in Digital Education at the Manchester Institute of Education within The University of Manchester's School of Environment, Education and Development. His research focuses on critical realist perspectives in higher education, emphasizing digital technologies, generative AI, collaboration, and sustainability. He has held leadership roles, including Director of the Centre for Higher Education Studies at the University of Liverpool and Senior Professional Development Advisor at the University of Manchester, where he established a Postgraduate Certificate in Teaching and Learning in Higher Education. He edits the journal Teaching in Higher Education and has supervised nearly 30 doctoral theses. Research interests include digital education innovations, employability frameworks, and decolonizing higher education. Awards include the National Teaching Fellowship (2014) and Principal Fellowship of the Higher Education Academy. His recent projects include analyzing student experiences in work placements for the MA DTCE program. He actively serves as an external examiner for doctoral programs at multiple UK universities. Key Contributions: Over 29 publications, including books and peer-reviewed articles on educational theory and practice. Grants: Project leadership on 'Understanding the student experience of work placements on the MA DTCE' (2023). Teaching: Leads 'Blended learning in a digital age' and contributes to 'Education, Communication and Technology' modules.

Siân PooleyView profile

Tutor

• Social History
• Cultural History
• History of Childhood & Education
• +3 more

Siân Pooley is a Tutor in Modern British History at Magdalen College, University of Oxford. Her research focuses on social and cultural history of 19th- and 20th-century Britain, particularly childhood, family dynamics, and social policies. She examines how individuals and communities navigated social change through personal experiences and relationships. Current projects include analyzing children’s creative works published in pre-WWII media and studying adversity’s impact on lifelong resilience. Teaching includes undergraduate and postgraduate modules on British history from 1815 to the 20th century, theories of historical methodology, and gender studies. She supervises DPhil students in modern British social and cultural history. She collaborates with the Centre for the History of Childhood and the Centre for Women’s, Gender and Queer Histories, exploring themes of identity, emotions, and subjectivity. Her work bridges historical analysis with interdisciplinary approaches to understanding societal evolution.

Aryan KaushikView profile

Associate Professor

• Signal Processing
• 5G/6G Wireless Communications
• Integrated Sensing and Communications
• +7 more

Dr. Aryan Kaushik is an Associate Professor at Manchester Metropolitan University (Manchester Met), UK, since 2024, affiliated with the Department of Computing and Mathematics. He also serves as Chief Advisor at RakFort, Ireland, since 2025. Previously, he was an Assistant Professor (senior grade) at the University of Sussex, UK, from 2021-24, and held roles as Recruitment and Admissions Tutor and Academic Advisor there. His academic journey includes a Research Fellow position at University College London (2020-21), and a PhD in Communications Engineering from the University of Edinburgh (2019). He holds an MSc in Telecommunications from the Hong Kong University of Science and Technology (2015). Education: PhD in Communications Engineering, University of Edinburgh (2019) MSc in Telecommunications, Hong Kong University of Science and Technology (2015) Professional Roles: Chair of IEEE ComSoc ETI on Electromagnetic Signal and Information Theory (since 2024) Core Member of IEEE P1955 Standard on 6G-Empowering Robotics Editorial roles across multiple IEEE journals and conferences His research focuses on 5G/6G wireless communications , integrated sensing and communications , reconfigurable holographic surfaces , non-terrestrial networks , and AI-driven network optimization . He has led UKRI-funded projects on topics like AI-assisted ISAC and Net Zero 6G, and collaborates globally with institutions like IIIT-Delhi, University of Bologna, and Imperial College London. Dr. Kaushik has received awards including the Top Editor Award 2025 (IEEE IoT Magazine), Best Editor Awards 2023-2024 (IEEE Open Journal), and was shortlisted for teaching excellence awards at Sussex. He actively contributes to standardization, serves on over 14 IEEE conference committees, and has delivered 110+ keynote/tutorial talks worldwide. His leadership extends to roles like TPC Co-Chair at IEEE ICC 2025 and Chair of Special Interest Groups on AI-driven Non-Terrestrial Networks and Fluid Antenna Systems.

Donovan FuquaView profile

Assistant Professor

• Supply Chain Management
• Operations Research
• Artificial Intelligence in Logistics
• +3 more

Donovan Fuqua is an Assistant Professor in the Department of Accounting and Information Systems at New Mexico State University's College of Business. He specializes in supply chain management, operations research, and the application of artificial intelligence in logistics. His research focuses on optimizing supply chain resilience, disaster recovery models, and the use of advanced algorithms in solving complex logistical challenges. He holds a physical office at the Business Complex, 127, and can be reached at dfuqua@nmsu.edu. Address: Business Complex, 127 • Las Cruces, NM 88003 Phone: (575) 646-2812 His research interests span supply chain resilience , optimization algorithms , and neural networks in logistics . He has published extensively on topics such as commodity demand forecasting, state-of-charge prediction in vehicle batteries, and chaos theory applications in military decision-making. Recent work analyzes the Bank of North Dakota's financial strategies and explores resilience models for global disruptions. His articles often bridge theoretical frameworks with real-world applications, such as using deep learning for humanitarian logistics planning. Dr. Fuqua has not been noted for scientific awards in the provided texts. His advising and grant activities are not detailed here, but his research portfolio reflects a strong focus on interdisciplinary solutions for complex logistical systems.

• Electromagnetic Theory
• Holographic and Diffractive Devices
• Optical Interconnects
• +6 more

Elias N. Glytsis is a Professor at the National Technical University of Athens (NTUA), affiliated with the Department of Electromagnetic Applications, Electro-Optics and Electronic Materials. He previously held a Professorship at the Georgia Institute of Technology (USA) from 1988 to 2003. His research focuses on electromagnetic theory, diffractive devices, optical interconnects, quantum heteromaterials, and numerical methods for electromagnetic problems. Glytsis has published over 115 journal articles, 95 conference papers, and holds 17 U.S. patents with an h-index of 31 (as of 2017). Education: Diploma in Electrical Engineering (NTUA, 1982), M.S. and Ph.D. (Georgia Tech, 1984–1987). Professional memberships include IEEE (Senior Member), Optical Society of America (Fellow), and EURATOM-Hellenic Republic. Research highlights include work on holographic gratings, optical fiber gratings, and plasma-edge RF scattering. He has developed optimization methods for photonic devices and contributed to stochastic modeling via polynomial chaos expansions. Glytsis teaches courses on electromagnetic fields, optical science, and integrated optics at both undergraduate and postgraduate levels. Key technical contributions span microwave interconnects, quantum device modeling, and fusion plasma physics. His methodologies address challenges in material variability, waveguide design, and electromagnetic compatibility.