Professor Anders C. Hansen is a mathematician at the University of Cambridge and University of Oslo, leading the Applied Functional and Harmonic Analysis group. His work bridges functional analysis, artificial intelligence, and computational mathematics, focusing on the Solvability Complexity Index (SCI) hierarchy and stability issues in deep learning. He has held prestigious fellowships, including a Royal Society University Research Fellowship and Peterhouse Bye-Fellowship. Educated at the University of Cambridge, UC Berkeley, and the Norwegian University of Science and Technology Developed groundbreaking theories in compressed sensing and deep learning, revealing algorithmic instability paradoxes Organized workshops on computational mathematics and AI interpretability His research explores the SCI hierarchy , exposing computational barriers in AI, quantum mechanics, and inverse problems. Key projects include Smale’s 18th problem and analyzing neural network stability. His work has transformed understanding of compressed sensing, particularly in medical imaging. Recent scientific awards include the Whitehead Prize (2019), IMA Prize (2018), and Leverhulme Prize (2017). Collaborations span institutions like Caltech, MIT, and the University of Vienna. As an educator, he teaches NST Part IA Mathematical Methods , Part II Numerical Analysis , and a Part III course on Compressed Sensing . His group has mentored 17 PhD and postdoctoral researchers since 2012.
Joel Goh is Associate Professor at the Department of Analytics and Operations, NUS Business School, National University of Singapore. He serves as Director of the J.Y. Pillay Comparative Asia Research Centre (under NUS Global Asia Institute) and PhD Program Director at the Institute of Operations Research and Analytics (IORA). Previously, he was Assistant Professor at Harvard Business School (2014-2017) and Visiting Scholar (2017-2022). BSc, MSc, PhD in Operations, Information, and Technology from Stanford University His research focuses on healthcare analytics (preventing health conditions, hospital operations, frailty assessment), supply chain analytics (digital business models, platform leakage), and service platform operations (hospital-at-home programs, incentive design). He co-created the Robust Optimization Made Easy (ROME) software. Recent publications analyze workplace psychological safety (2024), hospital-at-home models (2024), and platform leakage dynamics (2023). His work spans 18+ journals with 740+ citations for burnout cost studies (2022) and 606+ citations for physician well-being research (2017). Teaching Honors : 2023: Best MBA Teaching & Skinner Innovation Award 2021: NUS Annual Teaching Excellence Award 2020: Early Career Research Excellence Award & 40 Under 40 Best MBA Professors Advising & Grants : Served as PhD Program Director. Received NUS Start-Up Grant R-314-000-110-133 (2021) and Humanities & Social Sciences Fellowship (2021). Editorial roles include Associate Editor at Management Science , Manufacturing & Service Operations Management , and Senior Editor at Production and Operations Management .
Raphael Hauser is an Associate Professor in Numerical Mathematics at the University of Oxford's Mathematical Institute, Director of Graduate Studies - Teaching, and Tanaka Fellow in Applied Mathematics at Pembroke College. His affiliations include membership in the Data Science, Numerical Analysis, and Mathematical and Computational Finance research groups, as well as a fellowship at the Alan Turing Institute. Education: PhD in Operations Research, Cornell University, Ithaca, USA Dipl. Math. ETH, Swiss Federal Institute of Technology (ETH Zurich), Switzerland Research interests span data science, numerical optimisation, medical imaging, distributed computing, and applied probability/statistics. His work integrates mathematical rigor with practical applications, particularly in optimization algorithms, machine learning theory, and medical imaging technology. Publications focus on optimization theory, stochastic processes, medical imaging systems, and computational finance, with recurring themes in non-convex optimization guarantees, PCA variants, and X-ray tomography innovations. Awards: Oxford University Teaching Award (2007) SIAM Optimization Prize (2005) SIAM Student Paper Prize (2000) Advising includes 15+ DPhil students and 40+ MSc students, with projects in optimization, finance, imaging, and machine learning. Current postdocs and students are affiliated with the Alan Turing Institute and industrial partners like Siemens and Macquarie Group. He leads teams in the Mathematical Institute's research groups and collaborates with the Alan Turing Institute on large-scale data science initiatives.
Scientia Professor Gary Froyland is a Professor at the University of New South Wales (UNSW), affiliated with the School of Mathematics & Statistics. He leads the ARC Laureate Centre for Dynamical Systems and Data and holds an Einstein Visiting Fellowship from the Einstein Foundation Berlin. His academic credentials include a BSc (Hons 1, Medal) in Pure and Applied Mathematics from the University of Queensland and a PhD in Mathematics from the University of Western Australia. Professor Froyland's research spans two primary domains: dynamical systems and optimization. In dynamical systems, he investigates the interplay of probability and geometry in nonlinear and chaotic systems, employing tools from ergodic theory, functional analysis, and differential geometry. His work extends to applications in oceanography, atmospheric science, and granular flows. In optimization, he focuses on decision-making in complex systems with uncertain information, developing novel approaches in mathematical programming that have been applied to mining, logistics, and medical treatment planning. His recent publications demonstrate a strong focus on coherent structures in dynamical systems, linear response theory, and applications to geophysical phenomena. The research shows increasing interdisciplinary collaboration, particularly with climate scientists and data analysts, reflecting a trend toward applying advanced mathematical techniques to real-world problems in environmental science and engineering. J.D. Crawford Prize (2025) Elected Member of the Academy of Europe / Academia Europaea (2024) ARC Laureate Fellow (2024-2029) Fellow of the Society for Industrial and Applied Mathematics (SIAM) (2021) Fellow of the Australian Academy of Science (2020) Vice-Chancellor's Award for Teaching Excellence - Postgraduate Research Supervision (2015) Professor Froyland actively supervises PhD and honors students, with current advisees including Kevin Felipe Kühl Oliveira, Nicholas Peters, and Kathrin Völkner. His research is supported by multiple grants, including an ARC Laureate Fellowship (2024-2029) for "Breakthrough mathematics for dynamical systems and data," an Einstein Visiting Fellowship (2022-2026), and several ARC Discovery Projects. His work has practical applications in climate science, mining optimization, and medical treatment planning, particularly in radiotherapy. He leads the ARC Laureate Centre for Dynamical Systems and Data, which brings together researchers to develop new mathematical approaches for analyzing complex dynamical systems. The center focuses on creating methods to identify coherent structures in spatiotemporal data, with applications spanning environmental science, social science, health science, and engineering.
Dr. Susana Castro-Kemp is an Associate Professor in Psychology and Human Development at University College London's Institute of Education (IOE), where she serves as Director of the Centre for Inclusive Education (CIE) since September 2023. Previously, she was a Reader in Education at the University of Roehampton for eight years. Her work focuses on inclusive education policy and practice globally, with particular expertise in special educational needs and disabilities (SEND), early childhood intervention, and mental health in schools. The IOE has been ranked number one in the world for Education for several consecutive years, providing an ideal environment for her impactful research. Dr. Castro-Kemp holds a PhD in Psychology jointly awarded in 2012 by the University of Porto (Portugal) and the University of North Carolina at Chapel Hill (USA). Her doctoral research was fully funded by the Foundation for Science and Technology/European Commission and the Global Education and Development Studies scholarships. She is a Chartered Psychologist with the British Psychological Society, a Senior Fellow of Advance HE, and a Recognised Research Supervisor by the UK Council for Graduate Education. Dr. Castro-Kemp's research centers on policy regulating education, health, and welfare services for children, particularly those with support needs. She examines inclusive education practices from users' perspectives, policy models leading to effective inclusive pedagogy, and country-level policy impacts on outcomes for children with special educational needs. Her work moves away from diagnostic labels toward engagement and civic participation as educational outcomes. She also investigates inclusion and early intervention in low- and middle-income countries, mental health in schools, and quality of early childhood education. Her recent publications reveal several key trends in inclusive education research. There's growing emphasis on understanding educational experiences through the voices of children and families rather than diagnostic labels. Much of her work examines the implementation gap between inclusive education policy and classroom practice. She has conducted significant research on how children with special educational needs experienced the pandemic, revealing both challenges and unexpected "silver linings" for some groups. Her corpus analysis of Ofsted reports shows narrow focus in early childhood education inspections, while her work on SEND policy increasingly takes an international comparative approach. Dr. Castro-Kemp has received recognition for her impactful work, including: Best Digital Humanities Project for Community Engagement Prize (2023) from the National Institute of Humanities and Social Sciences of South Africa for her project "Optimising collaborations and reducing inequalities of Early Childhood Intervention in post-Covid-19 South Africa" Dr. Castro-Kemp has secured approximately £1.3 million in research funding from various sources including ESRC, British Academy/Leverhulme Trust, European Commission, and private sponsors. Her current major project is 'ScopeSEND' (2024-2026), funded by the Nuffield Foundation (£250,000), examining international SEND policies. She has led numerous projects including "Transdisciplinary provision for children with disabilities in the Global South" (£3,500), "Optimising collaborations in South Africa" (£47,200), and "Froebel meets Ofsted" (£19,185). As a supervisor, she mentors MA/MSc and PhD students in education policy, early childhood, and inclusive education, having been nominated for student choice awards for excellent feedback and outstanding research supervision. As Director of the UCL Centre for Inclusive Education since 2023, Dr. Castro-Kemp leads a team focused on advancing knowledge exchange and research in inclusion and special needs. The Centre works with schools, educators, parents, and early years settings to translate research into practice. Her international collaborations include work with the World Health Organization as a technical advisor on the use of the International Classification of Functioning, Disability and Health (ICF) system in educational contexts. She also serves on the SEN Policy Research Forum and has provided oral evidence to the House of Commons Education Select Committee.
Professor Phil Purnell is a Professor of Materials and Structures at the School of Civil Engineering, University of Leeds. His expertise spans materials science, infrastructure systems, circular economy, and interdisciplinary research. He leads projects addressing decarbonization, waste-to-resource systems, and sustainable construction materials. His roles include Deputy Head of School and advisor to UKRI, DEFRA, and the UK Government’s Circular Economy Taskforce. He holds visiting positions at the Royal College of Art and University of Cambridge. Education: PhD, BEng (Civil), and teaching qualifications (PCPCE, ACTLHE). His research focuses on circular economy applications in textiles, offshore wind, and foundational industries. Notable projects include the Textiles Circularity Centre, Yorkshire Circular Economy Living Lab, and Complex Value Optimisation for Resource Recovery (C-VORR). He advocates for systemic approaches to sustainability, integrating economic, technical, and environmental values. Research outputs emphasize decarbonization pathways, material lifecycle assessments, and robotics in infrastructure management. Collaborations with industry and policy bodies drive practical solutions for resource efficiency. His work bridges engineering, economics, and environmental science to address global challenges like waste management and climate change.
Pierre Flener is a Professor at the Department of Information Technology, Division of Computing Science at Uppsala University. He leads the Optimisation Group and is a member of the Centre for Interdisciplinary Mathematics. His work focuses on constraint programming and discrete optimization, addressing complex scheduling, routing, and resource allocation challenges. Flener is an Officer of the Order of Merit of Luxembourg and co-founder of NordConsNet, the Nordic Network for Constraint Programming researchers. Research Interests: Flener’s research spans constraint programming, combinatorial optimization, and algorithm design. He develops models and tools for automated decision-making in domains like air traffic management, sensor networks, and industrial robotics. His work emphasizes practical applications, leveraging constraint satisfaction techniques to solve real-world puzzles such as vehicle routing and personnel allocation. Key Contributions: Flener has authored over 100 publications on constraint solving, symmetry breaking, and CP-based approaches to industrial problems. Notable projects include airspace sectorization optimization, energy-efficient sensor networks, and financial portfolio design. He has led initiatives like Auto-Tabling for MiniZinc and collaborated on CP applications in bioinformatics and image processing. Labs & Teams: He heads the Optimisation Group at Uppsala, fostering research in CP and its applications. NordConsNet, co-founded by Flener, connects Nordic researchers and practitioners in constraint technology.
Professor Michael Pollitt is a faculty member at the University of Cambridge , holding the title of Professor of Business Economics . He serves as Director of the MPhil in Technology Policy Programme and is affiliated with the Centre for Business Research (CBR) . Additionally, he holds advisory roles on Ofwat's Water 2020 board and the National Infrastructure Commission's Regulatory Challenge Panel , and is a Joint Academic Director at CERRE Centre on Regulation in Europe . His research focuses on industrial economics , privatisation and regulation of utilities (particularly electricity), productive efficiency measurement , and the intersection of Christian ethics with business practices . He has advised numerous governmental and international bodies, including the UK Competition Commission , World Bank , and European Commission , and has consulted for major energy firms like National Grid and Eneco . His publications address critical energy and regulatory issues, with recent work exploring electricity market design , carbon pricing , net zero transitions , and infrastructure productivity . He contributes to academic governance as a member of editorial boards for journals such as The Energy Journal and Utilities Policy , and leads the Association of Christian Economists, UK .
Dr Jeff Chamberlain is a Senior Lecturer at Deakin Business School, Faculty of Business and Law, Deakin University, where he also serves as Deputy Director of the MBA program. With over two decades of industry experience at the Australian Taxation Office (ATO), he transitioned into academia, bringing a pragmatic, industry-informed approach to teaching and research. His work centers on the 'triple helix' model linking strategy, business processes, and technology. Doctor of Philosophy, Deakin University Master of Electronic Commerce, Deakin University Graduate Diploma of Electronic Commerce, Deakin University Graduate Certificate of Electronic Commerce, Deakin University Graduate Certificate of Higher Education, Deakin University Bachelor of Business, Deakin University CPA (Certified Practising Accountant), CPA Australia His research focuses on business process management, digital transformation in SMEs, enterprise systems (especially ERP), and organizational learning. He explores how SMEs strategize for technological change and the role of awareness and learning in enterprise transformation. Recent work includes a study on a Global Advisory Program (GAP) for innovative SMEs. The recent articles reflect a strong trajectory in e-government, digital services, and cross-cultural project management, with a pivot toward educational innovation and flexible learning models. His work bridges public sector digital transformation and academic pedagogy, emphasizing practical application. Vice Chancellor's Award for Teaching Excellence, 2017 Fellow, CPA Australia (FCPA), 2016 Fellow, Institute of Managers and Leaders (FIML), 2016 Dean's Lecturing Legend Award, 2012 Australia Day Achievement Award, 2002 Jeff has supervised numerous student capstone projects, led industry-university partnerships, and secured internal grants such as the BPM Deakin project. He has been involved in executive education with DeakinCo, delivering transformation leadership programs to Tata Aerospace. He also serves on the board of Eastern Innovation Business Centre, supporting sustainable startups. He leads the 'BPMDeakin' virtual community and has developed innovative teaching models like 'Start Anytime' and 'Cloud First'. His teaching units include MBA705 Enterprise Optimisation and Transformation, emphasizing real-world applicability and digital agility.
Alan Sutherland is a Professor of Economics at the University of St Andrews' Business School. He specializes in international macroeconomics, monetary economics, and financial market integration. His research focuses on the macroeconomic implications of exchange rate policies, monetary policy regimes, and cross-country financial linkages. He leads projects funded by the Economic & Social Research Council, including 'The Macroeconomics of Financial Globalisation' (2011-2015) and 'Monetary Policy Welfare and International Financial Markets' (2006-2007). Research Interests: International macroeconomic policy design Exchange rate determination Financial market integration effects Numerical methods for macroeconomic modeling His recent work emphasizes the role of international financial flows in transmitting economic shocks between countries. He has developed influential solution methods for analyzing multi-country general equilibrium models. Key contributions include frameworks for understanding optimal monetary policy under incomplete financial markets and asymmetric information conditions. Scientific Recognition: 2013 Fellow of the Royal Society of Edinburgh Recipient of 2 ESRC-funded research grants
Francisco Benita is an Adjunct Lecturer at the Engineering Systems and Design (ESD) Pillar of Singapore University of Technology and Design (SUTD). He holds a PhD in Engineering Sciences from Monterrey Tech (2016) and an MSc in Industrial Economics from Universidad Autónoma de Nuevo León (2012). Prior to SUTD, he was a postdoctoral fellow at SUTD’s Architecture and Sustainable Design Pillar and a Senior Advisor at the ITESM-BMGI Lean Six Sigma Program. His research focuses on urban systems, optimization, data science, and their intersections with economics and public policy. Key areas include transportation networks, spatial livability indices, and pandemic impacts on urban environments. Benita’s interdisciplinary work spans fields like sustainable urban design, carbon emissions modeling, and global trade dynamics. Recent publications highlight trends in transportation innovation (e.g., ride-sharing impacts, aircraft routing frameworks), climate-resilient urban planning (e.g., walkway thermal comfort), and pandemic analysis. His projects often integrate quantitative methods with real-world data, emphasizing actionable insights for policymakers and urban planners. Though no scientific awards are explicitly mentioned, his extensive international collaborations—including research visits to TU Berlin, Vrije Universiteit Brussel, and Supélec—reflect his global academic engagement. Students and grants are not listed in the provided texts. Benita’s work is anchored in labs/teams within SUTD’s ESD Pillar, though specific lab affiliations are not detailed. His research bridges theoretical optimization with practical urban challenges, contributing to both academic discourse and applied solutions in smart cities.
Matthew K. Tam is an Associate Professor at the School of Mathematics and Statistics, The University of Melbourne, specializing in Operations Research. He is also an investigator at the Melbourne Centre for Data Science and an associate investigator in the ARC Training Centre OPTIMA. PhD in Mathematics (2016) from University of Newcastle under Jonathan Borwein Postdoctoral research at University of Göttingen with RTG-2088 and Alexander von Humboldt Foundation Junior Professor at University of Göttingen (2017-2020) His research focuses on continuous optimization, monotone operator theory, and variational analysis, with applications in wavelet construction and inverse problems. Key trends include distributed algorithms, resolvent splitting, and convergence analysis for feasibility problems. Discovery Early Career Researcher Award (DECRA) Alexander von Humboldt Fellowship He collaborates with institutions like ANZIAM, Springer, and IEEE, with publications spanning mathematical optimization, harmonic analysis, and computational mathematics. His work emphasizes algorithmic design for complex data systems and real-world applications in imaging and industrial modeling.
Dr. Hyungwoong Ahn is a Senior Lecturer in Chemical Engineering at the University of Edinburgh and an Adjunct Professor at Yonsei University. His expertise lies in adsorption process engineering, particularly for CO2 capture and gas separation. He leads the Carbon Capture Group and coordinates exchange programs for chemical engineering students. Dr. Ahn holds a BSc, MSc, and PhD in Chemical Engineering from Yonsei University. Roles: Senior Lecturer (Edinburgh) & Adjunct Professor (Yonsei) Research Focus: Pressure Swing Adsorption (PSA), CO2 capture technologies, hydrogen purification, and industrial decarbonisation Key Projects: PSA-SPUR technology development, ship-based carbon capture, and collaboration with HD Korea Shipbuilding Awards: KOFST Brain Pool Fellow, IChemE Global Awards finalist, and Honeywell UniSim Design Challenge winner His research integrates equilibrium theory analysis, numerical simulation, and experimental validation to advance carbon capture systems. He has authored over 50 publications (H-index 32) and secured funding from EPSRC, BEIS, KETEP, and others.
Dr. Amir Tavakoli Taba is a Senior Lecturer in Medical Imaging Sciences at the University of Sydney, where he co-directs the Medical Image Optimisation and Perception Group (MIOPeG). He specializes in improving medical imaging accuracy, particularly in breast cancer diagnosis, through advancements like phase-contrast tomography and AI integration. His work bridges technological innovations (e.g., low-dose imaging) with clinical practice, emphasizing quality control and radiologist performance analysis. Education: PhD (University of Sydney) MEngSc (University of New South Wales) BSc (University of Tehran) Research Interests: Dr. Taba’s research focuses on phase-contrast computed tomography (PCT), AI-driven diagnostic tools, and clinical workflow optimization. His projects include the world’s first PCT clinical trial (scheduled for 2024 in Melbourne) and collaborations with institutions like ANSTO, Harvard Medical School, and the University of Iowa. He also investigates radiologist expertise development and the role of social networks in medical decision-making. Grants & Awards: NHMRC Synergy Grant (IMPACT: Implementation of X-ray Phase-Contrast Tomography) International recognition, including the SPIE Medical Imaging Award Advising & Labs: Current students: Mohammed ALANAZI (abdominal CT optimization), Jenna ARBID (phase-contrast imaging) Labs: MIOPeG, part of the Sydney Vital and Sydney Catalyst cancer research networks Teaching: Courses in imaging technologies, medical image perception, and clinical capstone projects for diagnostic radiography students.
Professor Tony Jan leads the Centre for Artificial Intelligence Research and Optimisation (AIRO) at Torrens University Australia's Design and Creative Technology school. He holds a PhD in Computing Science from the University of Technology Sydney (2004) and a Bachelor of Engineering from the University of Western Australia (1999). His research focuses on federated machine learning for IoT security, ensembled machine learning for real-time applications, cognitive machines for human-centric computing, and smart sensor networks for healthcare and security. He has secured ARC grants and industry partnerships with NVIDIA, IBM, and Microsoft. Awards include the 2024 SEI Global Academic Excellence Award and the 2023 Torrens University Excellence Award. Research collaborations span global partners, with contributions to UN Sustainable Development Goals in education and industry. His work bridges academia and industry, expanding AI program enrollments by 2,000+ students and enhancing student satisfaction by 15%. He advises PhD students on topics like IIoT cybersecurity and smart cities, and has produced over 97 publications since 1999. Education: PhD (UTS, 2004), BEng (UWA, 1999) Research Themes: AI for Industry 5.0, Cybersecurity, Smart Cities, Healthcare Technology Key Partnerships: NVIDIA, CIMIC, Palo Alto Networks Recent Projects: Federated learning for health IoT, drone vision intelligence, ransomware detection His work emphasizes ethical AI adoption in design and healthcare, with publications exploring AI ethics, generative AI applications, and sustainable technology integration.
