Find Academic Supervisors

Ewa SzostakView profile

Professor

• EU Policy Analysis
• Regional Development
• Innovation Economics
• +5 more

Prof. Ewa Szostak holds a professorial position at Wrocław University of Economics (UEW), serving as BIPS Program Coordinator. Her work focuses on EU policy analysis, regional development dynamics, innovation economics, and sustainable urban planning. Key research interests include Poland's EU integration trajectory, post-1989 educational reforms, energy transition strategies, and socio-economic challenges posed by aging populations. Her publications span topics such as territorial cohesion, smart specialization strategies, and the impact of migration on transportation networks. Notable works include analyses of Lower Silesia's regional infrastructure, smart city development challenges in Poland, and the decarbonization of inland navigation systems. Methodologically, her research combines policy evaluation with case studies examining institutional effectiveness and spatial planning. Laboratory/Team Affiliations: While specific lab names aren't listed, her role as a professor at UEW implies involvement in the university's economic policy research units. Her work frequently engages with EU-funded regional development projects and policy implementation frameworks.

Liam CrossView profile

Lecturer

• Social Psychology
• Prosocial Behavior
• Synchronization
• +13 more

Liam Cross is a Lecturer in Psychology at the School of Psychology, University of Bath. His research focuses on social psychology, particularly how synchronized movement (e.g., dancing, drumming) fosters prosocial behavior, affiliation, and group cohesion. He also investigates autism, theory of mind, deception, media effects on prejudice, and the therapeutic potential of games. His research interests span Social Psychology, Prosocial Behavior, Synchronization, Theory of Mind, Autism, Nonverbal Communication, Media Effects, and Gamification . He explores how rhythmic coordination influences social bonding and identity, and how digital and tabletop games can support individuals with autism. His work integrates experimental, virtual reality, and qualitative methods to understand complex social dynamics. The recent articles highlight a strong trend in using technology—especially virtual reality and games—to study and enhance empathy, reduce prejudice, and improve social interaction. Key themes include the Proteus Effect, synchronized movement in VR, video games for refugee empathy, and board games for understanding autistic experiences . These works reflect interdisciplinary approaches bridging psychology, human-computer interaction, and social intervention. Liam Cross has no explicitly listed scientific awards in the provided text. While no direct mention of student advising or grants is made, his collaborative publications suggest active mentorship and research leadership. He is affiliated with the NeuroPlay Lab , indicating involvement in a dedicated research team focused on play, technology, and social cognition. His work contributes to UN Sustainable Development Goals related to well-being and reduced inequalities. He is actively involved in research and teaching in Social Psychology, Research Methods, and Statistics , and leads innovative projects using immersive technologies and games to address social challenges. The NeuroPlay Lab serves as a hub for experimental and applied research in prosocial technology and autism interventions.

Kenan LiView profile

Associate Professor

• Spatial Computation
• Environmental Health
• Community Resilience
• +12 more

Kenan Li, Ph.D., is an Associate Professor in the Department of Epidemiology and Biostatistics at Saint Louis University’s College for Public Health and Social Justice. He joined SLU in August 2022 and teaches courses such as Statistical Learning, R for Spatial Analysis, and Environmental Determinants of Health. His research bridges data science, GIS, and public health, focusing on spatial computation, environmental exposures, and community resilience. Ph.D. in Environmental Sciences, Louisiana State University M.S. in Environmental Sciences, Louisiana State University B.S. in Environmental Sciences and Applied Mathematics, Nankai University, China Dr. Li’s research interests lie at the intersection of spatial computation, environmental health, and community resilience . He develops geo-AI frameworks , integrated geo-cyber-infrastructures , and biostatistics algorithms using big data, deep learning, and sensor data. His work emphasizes understanding human-environment interactions, urban sustainability, and health disparities. His recent publications from 2023 to 2015 reveal a strong trend in spatial modeling of population dynamics , machine learning for environmental exposure analysis , and resilience assessment in vulnerable coastal regions. He has pioneered methods like Dynamic Time Warping Self-Organizing Maps and Wavelet-based Shapelet Discovery to extract meaningful patterns from high-frequency sensor data. His scientific awards include the Taylor Geospatial Institute Seed Grant (2023) , the Saint Louis University 2023 Health Research Grant , and selection for the Scholarly Undergraduate Research Grants and Experiences . He has secured funding from NSF, NIH, USC Keck School of Medicine, and the US Army Corps of Engineers. Dr. Li has advised and collaborated on numerous research projects, particularly in interdisciplinary teams studying the Mississippi River Delta and urban health interventions. He has been involved in NIH/NIBIB-funded projects and led research on emergency management of trail systems in Los Angeles County. He is actively involved in building research labs and teams focused on spatial data science and public health analytics , having previously worked at USC’s Spatial Sciences Institute and Population and Public Health Sciences Department.

Robin CrockettView profile

Researcher

• Document Forensics
• Academic Integrity
• Contract Cheating
• +9 more

Dr Robin Crockett is the University Academic Integrity Lead at the University of Northampton, based in the Academic Registry. He is a mathematician-ethicist actively engaged in research and professional development in academic integrity, document forensics, and the detection of contract cheating and AI-generated text. He is a member of the European Network for Academic Integrity (ENAI), co-founder of the Midlands Integrity Group (UK), and has advised UK policymakers on legislation to ban essay mills. He holds Chartered Scientist and Chartered Mathematician status. MPhil, The Management of Electricity Supplies via Storage as Hydrogen, Cranfield University Master, Energy Conservation and the Environment, Cranfield University PhD, Electrostatic Damage to Semiconductor Devices, University of Southampton Master, Natural & Electrical Sciences, University of Cambridge Bachelor, Natural & Electrical Sciences, University of Cambridge Dr Crockett's research centers on document forensics and academic integrity, with core interests in Fourier theory, time-series analysis, and stylometry for identifying contract cheating. His work increasingly addresses the challenges posed by generative artificial intelligence in education. He applies mathematical and statistical methods to analyze linguistic cues, writing styles, and embedded information in student submissions. His recent publications highlight a strong trend toward understanding and mitigating academic misconduct in the AI era. Topics include AI-text detection uncertainties, forensic stylometry, and policy development for generative AI misuse. Earlier work includes environmental research on radon remediation and signal processing applications in telecommunications. Chartered Scientist Chartered Mathematician Dr Crockett has supervised PhD students, including Believe Nwamae in Computing. He has secured internal research funding, such as the Small Grants Scheme for Early Career Researchers at the University of Northampton for a project on AI-synthesized text detection. He has been an Academic Visitor at Loughborough University and served on the Turnitin Advisory Board, indicating active collaboration and external engagement. He frequently presents at academic events and contributes to policy discussions. He is affiliated with research networks including the European Network for Academic Integrity (ENAI) and the European Geosciences Union (as a former Scientific Officer). His work is supported by institutional and collaborative projects focused on advancing machine discernment of academic misconduct.

Simon TangView profile

Lecturer

• Biochemistry
• Molecular Biology
• Enzyme Engineering
• +7 more

Simon Tang is a BBSRC Research Fellow and Proleptic Lecturer in the Department of Life Sciences at the University of Bath. He also holds a Visiting Researcher position in the same department. His research is supported by prestigious grants from the Biotechnology and Biological Sciences Research Council (BBSRC) and the Engineering and Physical Sciences Research Council (EPSRC), where he serves as Principal Investigator (PI) and Co-Investigator (CoI) on multiple active projects. His research focuses on advancing sustainable biotechnological solutions for drug discovery, particularly through the engineering of enzymes such as asparaginyl endopeptidases and peptide ligases. Key areas include the intracellular production of cyclic peptides, enzyme compartmentalization, and the development of novel screening platforms for bioactive compounds. The trends in his recent publications reflect a strong emphasis on chemical biology, protein engineering, and enzyme mechanism studies. His work integrates synthetic biology with therapeutic discovery, targeting neurodegenerative diseases and sustainable pharmaceutical development. Scientific Awards: BBSRC Research Fellowship (2025), competitively awarded for innovative work in sustainable cyclic peptide production. Dr. Tang leads independent research projects, including the development of intracellular screening platforms and methods for controlling enzyme activity. He collaborates closely with Prof. Jody Mason and Dr. Luet Luk. While no formal advisees are listed, his leadership roles indicate active mentorship and research supervision. His work contributes to UN Sustainable Development Goals related to good health and sustainable industry. He is associated with research networks in enzyme engineering and peptide therapeutics, with collaborations spanning multiple institutions and countries.

Mohammed MazumderView profile

Assistant Professor

• Corporate Reporting
• Sustainability Accounting
• Corporate Governance
• +7 more

Dr. Mohammed Mazumder is a faculty member at Newcastle Business School, Northumbria University, where he has been contributing since January 2020. He leads the MSc Forensic Accounting programme and serves as the Departmental Research Ethics Lead. He teaches Management Accounting and Analytics at the undergraduate level and Financial Planning and Control at the postgraduate level. His educational background includes a PhD from Tohoku University and an MBA in Accounting from the University of Dhaka, where he also taught for over ten years. He is a Fellow of the Cost and Management Accountant (FCMA) and a Fellow of the Higher Education Academy (FHEA), reflecting his dual expertise in professional accounting and academic teaching. Dr. Mazumder’s research focuses on corporate reporting, sustainability accounting, CSR, corporate governance, and forensic accounting , with empirical studies centered on Bangladesh and Japan. His work explores board composition, gender diversity, cybersecurity disclosures, anti-corruption reporting, and SDG disclosures in emerging economies. The research employs discourse analysis, impression management theory, and quantitative methods to assess disclosure quality and governance effectiveness. His recent publications (2021–2025) reveal a strong trend toward ethical, environmental, and governance-related disclosures in banking and insurance sectors of developing economies. Topics include climate change rhetoric, post-cyber heist disclosures, and SDG reporting, indicating a growing emphasis on transparency and accountability in corporate narratives. His scholarly contributions have appeared in reputable journals such as Asian Review of Accounting , International Journal of Disclosure and Governance , Journal of Accounting in Emerging Economies , and Business Ethics: A European Review . While no specific awards are mentioned, his publication record in CABS/ABDC-ranked journals reflects significant academic recognition. Dr. Mazumder actively contributes to academic governance as Research Ethics Lead and programme director. Though no current students are listed, his leadership roles suggest involvement in postgraduate supervision and curriculum development. He has not indicated part-time status and appears to be a full-time, active academic with no signs of retirement or former staff status. He is associated with no named research labs or teams, but his work is highly interdisciplinary, bridging accounting, ethics, sustainability, and governance. Future research directions likely include expanding comparative studies between Japan and South Asia, deepening analysis of SDG disclosures, and exploring digital risk reporting in financial institutions.

Humphrey SouthallView profile

Professor

• Historical Geography
• Geographical Information Systems (GIS)
• Historical GIS
• +12 more

Humphrey Southall is Professor of Historical Geography at the University of Portsmouth, affiliated with the Faculty of Science & Health and the School of the Environment and Life Sciences. He has been a key figure in advancing digital historical geography through large-scale projects such as A Vision of Britain through Time and the Great Britain Historical GIS . University: University of Portsmouth Faculty: Faculty of Science & Health Department: School of the Environment and Life Sciences Academic Rank: Professor Education: Bachelor's Degree, University of Cambridge (1976) Special Student, Harvard University (1976–1977) PhD, University of Cambridge (awarded 1984) Humphrey Southall's research centers on historical geography, with a focus on geospatial data modeling, gazetteers, and historical GIS. His work explores the long-term impacts of locality on health inequalities, the North-South divide in Britain, and the political roles of travellers. He has pioneered methods for disambiguating historical place names and constructing digital gazetteers from old maps and census data. His interdisciplinary approach bridges geography, history, and data science, contributing to digital humanities and sustainable development goals related to health and inequality. His recent publications reveal a strong trend toward integrating historical data with modern GIS and ontologies. Themes include electoral analysis (e.g., Reform UK), climate-land use interactions, and the digitization of historical statistics. His work emphasizes data accessibility, public engagement, and the application of historical insights to contemporary policy challenges. Scientific Awards and Recognition: No specific awards listed in the provided text. Humphrey Southall has secured major research grants from the ESRC, AHRC, JISC, and the European Commission. He leads the DDME: Data Discovery Made Easy project, applying machine learning to social science databases. He has supervised PhD students and actively collaborates with researchers across disciplines. His public engagement includes media commentary on homelessness, air pollution, and elections via The Conversation and national press. Labs and Research Teams: Lead Principal Investigator, A Vision of Britain through Time (VoB) Lead, Great Britain Historical GIS (GBHGIS) Team Member, PastPlace and AOU Resources as a Pelagios GIF Resource Collaborator with Patrick Aucott, Chris Thomas, and others on biodiversity and health projects

• Clinical Genetics
• Molecular Genetics
• Neurodevelopmental Disorders
• +7 more

Rob Willemsen is an Associate Professor in the Department of Clinical Genetics at Erasmus MC, a leading academic medical center in the Netherlands. His research is centered on the molecular and genetic basis of neurodevelopmental and inherited disorders, with a focus on fragile X syndrome and related conditions. He employs advanced models such as zebrafish and in vivo systems to investigate gene regulation, methylation dynamics, and disease mechanisms. His research interests span clinical genetics , molecular genetics , neurodevelopmental disorders , epigenetic regulation , and rare genetic diseases . Using zebrafish models, he explores gene function and pathogenic variants associated with conditions like pediatric cardiomyopathy, hereditary spastic paraplegia, and refractive errors. His work often bridges basic science with translational applications, including drug testing in preclinical models. The trends in his recent publications indicate a strong focus on gene discovery , functional genomics , and therapeutic intervention for monogenic disorders. His studies frequently involve international collaborations and multidisciplinary teams, leveraging high-throughput sequencing, transcriptomics, and animal modeling to validate candidate genes from GWAS and clinical findings. Rob Willemsen has supervised 14 research projects, indicating an active role in mentoring students and junior researchers. He has received significant attention for his work, with mentions in news outlets and citations in major journals, though specific grants or funding sources are not detailed in the text. His collaborations span multiple institutions and countries, reflecting a broad scientific network. His research is conducted within the Clinical Genetics department at Erasmus MC, where he contributes to both fundamental research and potential clinical applications. While no specific lab name is mentioned, his work involves molecular and cellular analysis, animal models, and collaboration with clinical teams to translate findings into patient care.

• Extreme Value Statistics
• Financial Risk Management
• Mathematical Statistics
• +7 more

Chen Zhou is a Full Professor of Mathematical Statistics and Risk Management at the Econometric Institute, Erasmus School of Economics, Erasmus University Rotterdam. He is a member of the Research Advisory Committee of Erasmus School of Economics and actively contributes to academic leadership and research governance. His research focuses on extreme value statistics and financial risk management , with significant contributions to the theoretical and applied understanding of extreme events in financial and statistical contexts. His work bridges mathematical rigor with practical applications in finance and econometrics. The recent publications highlight a strong trend in advancing methodologies for extreme value estimation, including bootstrapping techniques, tail copula modeling, dimension reduction for extremes, and semi-supervised frameworks. These works are published in high-impact journals such as the Journal of the American Statistical Association , Bernoulli , and the Journal of Finance , indicating broad disciplinary relevance across statistics, econometrics, and finance. Editorial work: Editor, Extremes (since 2015) He teaches in the Bachelor program of Econometrics and Management Science and the MSc program in Quantitative Finance, and is affiliated with the Tinbergen Institute. He has supervised multiple doctoral students, reflecting his active role in academic mentorship and research training. Chen Zhou leads a research network focused on extreme value theory, systemic risk, and statistical inference, collaborating with leading scholars in the field. His work continues to shape methodological developments in the analysis of rare and high-impact events.

• Corporate Finance
• Capital Structure
• Debt Maturity Analysis
• +3 more

Dr. Kate Ng is a Lecturer in the School of Accounting, Economics and Finance at Curtin University's Faculty of Business and Law. She is affiliated with the Curtin Business School campus in Perth. Her research focuses on corporate finance topics including capital structure, debt maturity analysis, investment decisions, and firm leverage dynamics, with particular emphasis on emerging markets like Malaysia and Australia. She has published in journals such as the Afro-Asian Journal of Finance and Accounting and the International Review of Business Research Papers. Her work explores financial flexibility, cross-country comparisons, and determinants of corporate financial policies. Her academic contributions span studies on investment-cash flow sensitivity, leverage determinants in developing economies, and educational performance analysis in business programs. While no specific awards are listed, her publications demonstrate sustained research activity in corporate finance domains. She holds a position in the Office of the Provost, indicating administrative responsibilities within the university. No grants or lab affiliations are explicitly mentioned in the provided text.

Stefano NoventaView profile

Research Fellow

• Mathematical Psychology
• Psychometrics
• Psychophysics
• +7 more

Stefano Noventa is a Research Fellow at the Methods Center, Department of Social Sciences, Faculty of Economics and Social Sciences, University of Tübingen. He has held multiple postdoctoral positions at the University of Tübingen and previously at the University of Verona and the University of Padova. Education: Ph.D. in Cognitive Psychology, University of Padova (2011) M.Sc. in Physics, University of Padova (2006) Studies in Physics, University of Padova (1999–2006) International Visiting Graduate Student, University of Toronto (2009, 2010) Dr. Noventa's research lies at the intersection of mathematical psychology, psychometrics, and psychophysics, with a focus on developing and unifying quantitative models of human cognition and assessment. His work integrates Item Response Theory (IRT) and Knowledge Space Theory (KST) to create more robust frameworks for educational and psychological measurement. He investigates latent variable models, probabilistic knowledge structures, and the identifiability of complex psychometric models, often applying these to domains such as education, organizational psychology, and entrepreneurship. His recent publications (2020–2024) demonstrate a strong trend toward theoretical integration, particularly in bridging cognitive diagnosis models with traditional psychometric frameworks. The articles emphasize mathematical rigor, model generalization, and empirical validation, with applications in both cognitive science and applied psychology. Topics include the unification of assessment models, parameter estimation under local dependence, and the modeling of intuitive physical reasoning. Scientific Awards: No awards or honors listed in the provided text. Dr. Noventa has not been explicitly mentioned as an advisor to students, but he has served as a corresponding author and collaborator on multiple research projects, indicating a leadership role in research teams. He has been involved in a DFG-funded project (GLI NON-NORM) since 2019, suggesting active grant participation. His work is highly collaborative, involving researchers from Germany, Italy, Austria, and Canada. Labs and Research Groups: Methods Center, University of Tübingen Hector Institute of Education Science and Psychology, University of Tübingen Center of Assessment, University of Verona Department of General Psychology, University of Padova

L.J. SluysView profile

Professor

• Computational Mechanics
• Computational Mechanics of Materials
• Modelling of Failure Processes
• +12 more

Professor L.J. Sluys is a Full Professor and Chair of Computational Mechanics at the Faculty of Civil Engineering and Geosciences, Delft University of Technology (TU Delft). He has been a leading figure in computational mechanics since 1999, heading the Computational Mechanics group and serving as head of the Department of Materials, Mechanics, Management and Design (3MD) from 2018 to 2024. His research is centered on the computational modeling of material behavior, particularly focusing on failure processes and high-performance materials. His research interests include computational mechanics of materials, modeling of failure and fracture processes, multi-scale methods, and the computational modeling of high-performance materials such as composites and concrete. He employs advanced numerical techniques including the finite element method, extended finite element method (XFEM), level-set methods, and cohesive zone modeling to simulate complex mechanical behaviors under static and dynamic loading conditions. His work spans civil, mechanical, and materials engineering domains, with applications in infrastructure, energy, and sustainable materials. The recent publications highlight a strong trend in modeling fracture, fatigue, and degradation in heterogeneous materials such as composites, concrete, and geological formations. His work integrates multi-physics and multi-scale approaches, often coupling mechanical, thermal, and chemical effects. There is a consistent focus on numerical robustness, model validation, and the development of adaptive computational frameworks for simulating progressive damage and failure. Research Fellow of the Netherlands Academy of Arts and Sciences (KNAW) Professor Sluys has taught core courses such as Introduction to the Finite Element Method and Computational Methods in Non-linear Solid Mechanics for over a decade, indicating a strong commitment to academic education. He has supervised numerous students, though specific names are not listed in the provided texts. He leads an active research group in computational mechanics, contributing to both fundamental and applied research in solid mechanics. His work involves collaboration with international institutions and industry partners, particularly in the areas of infrastructure durability and advanced materials.

• Cancer Drug Discovery
• Medicinal Chemistry
• Kinase Inhibitors
• +4 more

Dr. Celine Cano is a research-focused academic at Newcastle University's Faculty of Medical Sciences within the School of Pharmacy and Biomedical Sciences, with a distinguished career spanning nearly two decades in cancer drug discovery and medicinal chemistry. Her work centers on developing targeted therapies, particularly kinase inhibitors and MDM2-p53 interaction antagonists, with significant contributions to understanding molecular mechanisms in oncology. Her research interests encompass cancer drug discovery , medicinal chemistry , and kinase inhibitor development , with specialized expertise in covalent drug design, fragment-based screening, and structural optimization of anticancer agents. Dr. Cano has pioneered work on MDM2-p53 inhibitors, ERK5 modulators, and PROTAC technologies, focusing on enhancing therapeutic indices while minimizing toxicity through precise molecular engineering. Analysis of her 15 most recent publications (2020-2024) reveals a dominant focus on targeted cancer therapies , particularly small-molecule antagonists of protein-protein interactions (MDM2-p53) and kinase inhibitors (ERK5, Nek2, NIK). Her work demonstrates consistent innovation in covalent drug design , pharmacokinetic optimization , and structural biology approaches to overcome resistance mechanisms. Notable trends include the development of differentiated pharmacokinetic profiles in next-generation MDM2 antagonists and sophisticated linker strategies for PROTACs. Dr. Cano maintains extensive collaborative networks across Newcastle University's cancer research ecosystem, particularly with groups led by Professors Ian Hardcastle, Bernard Golding, and Steve Wedge. Her research has been instrumental in advancing multiple drug candidates through preclinical development, with several publications describing compounds that have progressed to therapeutic evaluation.

• Business Informatics
• Artificial Intelligence
• Business Intelligence
• +10 more

Prof. Dr. Harald Ritz serves as Professor of Practical Computer Science, especially Business Informatics, at the Technical University of Central Hesse (THM) within the Department of Mathematics, Natural Sciences and Computer Science since 2003. He holds leadership roles as Chair of Examination Committees for B.Sc. and M.Sc. Business Information Systems and Spokesperson for the MNI department in the Business Informatics Working Group (AKWI). His educational background includes a Diplom in Business Informatics (Dipl.-Wirtsch.-Inform.) and doctorate (Dr. rer. pol.) from the Technical University of Darmstadt, following professional experience at SAP SI AG and a professorship at Heilbronn University of Applied Sciences. Ritz's research centers on AI-driven digital transformation for data-driven enterprises, with focus on the “Data to Decision” value chain encompassing Framing, Allocation, Analytics, and Preparation phases. His work integrates business intelligence, data warehousing, machine learning, and SAP ecosystems to address challenges in SME digitalization, operational IT management, and educational technology. Current projects emphasize AI applications in higher education, including intelligent tutoring systems and automated feedback mechanisms. Analysis of his 15 most recent publications reveals a consistent trajectory toward applied AI solutions in business contexts, particularly in intelligent chatbots for educational support, financial trading algorithms, and cloud-based data infrastructure. The research demonstrates increasing integration of no-code platforms, real-time analytics, and domain-specific AI applications across logistics, banking, and procurement sectors. No scientific awards were documented in the source materials. Professor Ritz actively supervises academic development through bachelor’s and master’s theses, doctoral research, and collaborative projects. Current initiatives include the “Winfy” AI chatbot (v4.0, 2025), AI-based feedback systems for educational content (Freiraum 2025 grant), the frits intelligent tutoring project with Prof. Kammer, and doctoral research on AI adoption in SMEs. His work bridges theoretical research with practical implementation in SAP environments and cloud platforms. He operates within THM’s MNI department infrastructure, collaborating through the Business Informatics Working Group (AKWI) and contributing to the Digital Classroom communication platform for online education.

• poverty measurement
• multidimensional poverty
• inequality
• +4 more

Indranil Dutta is a Senior Lecturer in Economics at the University of Manchester, holding a Ph.D. from the University of California, Riverside and an M.A. from Delhi School of Economics, India. Previously, he taught at the University of Sheffield and University of East Anglia, and served as a research associate at Manchester's Brooks World Poverty Institute and a research fellow at UNU-WIDER (Helsinki). His academic background includes: Ph.D. in Economics, University of California, Riverside M.A. in Economics, Delhi School of Economics, India Dr. Dutta specializes in quantitative development economics and applied welfare economics, focusing on well-being, deprivation, and distribution measurement. His research critically examines poverty and inequality indicators while addressing political economy dimensions of deprivation. This work directly contributes to UN Sustainable Development Goals for poverty reduction (SDG 1) and reduced inequalities (SDG 10). His publication trends reveal consistent methodological rigor in poverty measurement (e.g., vulnerability frameworks, multidimensional indices) and empirical analysis of refugee impacts using natural experiments. Recent work applies difference-in-differences techniques to Rohingya refugee effects in Bangladesh and investigates health system competition in developing countries, demonstrating interdisciplinary reach across economics, policy, and social welfare. Scientific awards: No major awards listed in available profile data. Advising and Grants: Dr. Dutta has supervised 4 students. He serves as Co-Investigator on the 2024-2025 project 'Financialised Cocoa Chains and Implications for Ghanaian Farmers’ Productivity, Income and Livelihoods', examining how global cocoa supply chains affect West African smallholders. His media engagement includes policy-relevant analysis of India's demonetization, covered by news outlets and referenced in policy sources.