Find Academic Supervisors

Kiyonori SuzukiView profile

Professor

• Magnetic Materials
• Nanocrystalline Materials
• Spintronics
• +3 more

Professor Kiyonori Suzuki is a faculty member in the Department of Materials Science and Engineering at Monash University. He holds the rank of Professor and is affiliated with the Faculty of Engineering. His research focuses on magnetic materials, particularly nanostructured soft magnetic materials and nanocomposite magnets, with applications in sustainable energy technologies such as hydrogen storage and electromagnetic devices. He has contributed to patents for nanocrystalline Fe-M-B alloys and developed the two-phase random anisotropy model. His work integrates advanced techniques like melt-spinning, neutron scattering, and atomic probe microscopy. Education: PhD, MEng, BEng, GCHE (details not specified). Research interests include magnetic properties of non-equilibrium materials, nanostructural formation mechanisms, and functional materials for energy applications. Key projects involve core loss mechanisms in soft magnetic nanostructures and hydrogen permeation alloys. He collaborates internationally and leads facilities like the National Hydrogen Materials Reference Facility. Notable contributions include patents on nanocrystalline alloys and foundational models in magnetic materials science. His publications span over 200 articles, emphasizing energy-efficient materials and advanced characterization techniques.

• Workplace Health Interventions
• Climate Change and Health Inequalities
• Sedentary Behavior Reduction
• +3 more

Dr. Abigail Morris is a Lecturer in Organisational Health and Well Being at the University of Lancaster's Faculty of Health and Medicine. Her work focuses on developing and evaluating workplace health interventions, integrating mixed-methods research to address sedentary behavior, physical activity promotion, and climate change impacts on health. Collaborations include projects with Lancaster Environment Centre exploring local authority climate strategies and Net Zero goals. She has led initiatives like the SLAMM intervention for call center workers and process evaluations of eHealth/mHealth tools such as 'Exertime' and 'Rise and Recharge.' Research interests span interdisciplinary approaches to workplace health, with particular attention to innovative technologies and reducing health inequalities. Projects include feasibility studies on active commuting and the intersection of mental health with dental care access via link workers. Morris has presented at conferences including the International Society of Physical Activity and Health and UK Active Summit, and contributed to policy discussions through events like the Cycling UK Big Bike Revival Parliamentary Event. Awards include the Deans Award for Outstanding Contribution to the Faculty. She supervises PhD students Miriam El Irani and Ming Jin, and participates in research groups like the Centre for Organizational Health and Well Being and FHM Mental Health Theme.

• Privacy-Preserving Algorithms
• Differential Privacy
• Federated Learning
• +6 more

Dr. Michael Shekelyan is a Lecturer (Assistant Professor) in Computer Science at Queen Mary University of London (QMUL), part of the School of Electronic Engineering and Computer Science. He holds a PhD in Computer Science from the Libera Università di Bolzano (2018) and a Diploma in Media Informatics from the University of Munich (2014). His research focuses on developing algorithms and data structures for managing large and sensitive datasets, with a particular emphasis on privacy-preserving techniques like differential privacy and federated learning. He has held postdoctoral roles at the University of Warwick and King's College London before joining QMUL in 2023. Research Interests: Privacy-preserving algorithms, differential privacy, federated learning, data management systems, randomized algorithms, and efficient query processing. His work bridges theoretical foundations with practical applications, aiming to enable secure data sharing while preserving individual privacy. Teaching: Leads undergraduate modules in Database Systems and Operating Systems at QMUL. His teaching emphasizes foundational concepts in computer science through rigorous coursework and practical projects. Grants and Funding: Currently supervises a PhD studentship titled 'Privacy-Preserving Algorithms: Unlocking Data Sharing for Medical Sciences & Machine Learning', funded by QMUL and open to UK home students. The role involves exploring privacy-preserving frameworks for collaborative data analysis. Professional Contributions: Serves as a reviewer for top-tier conferences (NeurIPS, ICML, SIGMOD, ICDE) and journals (IEEE TKDE, Data & Knowledge Engineering). Actively involved in conference organization, including NeurIPS Area Chair (2024) and ICDT Proceedings Chair (2024). Labs and Collaborations: Affiliated with the Centre for Fundamental Computer Science at QMUL, fostering interdisciplinary research in theoretical and applied computing. Engages with industry partners on privacy-enhancing technologies and data management solutions.

Nicolò Cesa-BianchiView profile

Professor

• Machine Learning
• Online Learning
• Multi-Armed Bandits
• +4 more

Nicolò Cesa-Bianchi is a Professor of Computer Science at the University of Milan, Department of Computer Science (Dipartimento di Informatica), and affiliated with the DEIB Department at Politecnico di Milano. His research focuses on foundational aspects of machine learning, particularly online learning, multi-armed bandits, reinforcement learning, and graph analytics. He is an ELLIS Fellow and a corresponding member of the Accademia Nazionale dei Lincei. Research interests include the design and analysis of algorithms for prediction, clustering, and online decision-making, with applications to digital markets, social networks, and bioinformatics. Notable contributions span cooperative online learning, multitask learning, and bandit algorithms. He co-authored the influential book Prediction, Learning, and Games (2006). Professional roles include Board member of ELLIS, co-director of the Milan ELLIS unit, and involvement in EU initiatives like ELSA (Secure & Safe AI) and ELIAS (AI for Sustainability). He teaches graduate courses on statistical methods, machine learning, and reinforcement learning, with a focus on theoretical foundations. Key awards: ELLIS Fellowship (2020), Corresponding Member of the Accademia Nazionale dei Lincei (Italian National Academy of Sciences). His work bridges theory and practice, addressing challenges in adaptive systems, market design, and algorithmic fairness. Current projects explore distributed learning, regret minimization in adversarial environments, and interpretable models.

Jake LevinsonView profile

Assistant Professor

• Algebraic Geometry
• Algebraic Combinatorics
• Moduli Spaces
• +5 more

Jake Levinson is an Assistant Professor in the Department of Mathematics and Statistics at Université de Montréal. His research focuses on algebraic geometry and algebraic combinatorics, with particular interests in moduli spaces, Schubert calculus, toric varieties, and equivariant free resolutions. He previously held positions at Simon Fraser University (2020–2023), the University of Washington (2017–2020), and completed a postdoctoral fellowship at LaCIM (UQAM). His Ph.D. from the University of Michigan (2017) was advised by David Speyer. Research Interests: - Algebraic Geometry: Moduli spaces, Schubert calculus, toric varieties, homological algebra. - Algebraic Combinatorics: Crystal graphs, Young tableaux, representation theory, combinatorial aspects of algebraic geometry. - Recent work includes studies on Schubert curves, Springer fibers, and applications of algebraic methods to problems in combinatorics and theoretical computer science. Teaching: - Taught MAT 6620 (Algebraic Geometry: Schemes) at Université de Montréal (Winter 2024). - Previously taught courses on intersection theory, representation theory, and Lean formal proof systems. Key Contributions: - Developed combinatorial models for Schubert curves using crystals and tableaux. - Contributed to Boij-Söderberg theory for Grassmannians and studies of class groups in algebraic geometry. - Collaborated on projects linking algebraic geometry to neural networks and random matrix theory.

Jonathan SchoolerView profile

Professor

• Consciousness Studies
• Mind-Wandering
• Meta-Awareness
• +2 more

Jonathan Schooler is Distinguished Professor in the Department of Psychological and Brain Sciences at UC Santa Barbara, where he directs the META Lab and Center for Mindfulness and Human Potential. His research integrates empirical psychology with philosophical inquiry, examining: Meta-awareness and its role in regulating thought Creative benefits of mind-wandering Belief in free will and its behavioral consequences Anomalous cognition phenomena Meditation-induced cognitive changes Schooler leads multiple large-scale projects including research on digital attention training for adolescents and the neuroscience of creativity. His work has been supported by Templeton Foundation, National Institute of Mental Health, and Bower Foundation.

Willoughby BrittonView profile

Associate Professor

• Meditation-related effects
• Mindfulness-based interventions
• Emotion regulation
• +5 more

Willoughby Britton is an Associate Professor of Psychiatry and Human Behavior and Behavioral and Social Sciences at Brown University. She directs the Clinical and Affective Neuroscience Laboratory (CLANlab), investigating the psychophysiological and neurocognitive effects of meditation and mindfulness-based interventions. Her research focuses on mechanisms of action, adverse effects, and practice-specific outcomes in mood and anxiety disorders. Dr. Britton holds a B.A. in Neuroscience from Colgate University (1996) and a Ph.D. in Clinical Psychology from the University of Arizona (2007). She is a licensed clinical psychologist with expertise in Mindfulness-Based Stress Reduction (MBSR) and Mindfulness-Based Cognitive Therapy (MBCT). Her NIH-funded studies include dismantling trials comparing meditation practices and a project on mindfulness and self-regulation. Notable contributions include the 'Varieties of Contemplative Experience' study, which created a taxonomy of meditation-related challenges. Research interests span meditation safety, trauma-informed practices, and comparative studies of meditation and psychedelics on self-perception (e.g., ego dissolution). Grants: Multiple NIH-funded projects, including UH2 grants Labs: Co-director of CLANlab at Brown University Publications: Over 100 peer-reviewed articles on mindfulness, meditation safety, and neurocognitive mechanisms Her work emphasizes culturally adapted mindfulness programs and addresses gaps in understanding diversity variables. She provides training to clinicians and educators on mindfulness safety and supports individuals experiencing meditation-related difficulties.

Paul Anthony BoltonView profile

Researcher

• Mental Health
• Torture Survivors
• Trauma
• +3 more

Paul Anthony Bolton, MBBS, MSc, MPH, DTMH, is a Senior Scientist affiliated with Johns Hopkins University's Bloomberg School of Public Health, specifically within the Department of Mental Health Primary Center. His work focuses on program design, implementation, and evaluation in mental health and humanitarian contexts, particularly addressing the needs of refugees, displaced populations, and survivors of violence. He holds academic qualifications from institutions including Johns Hopkins Bloomberg School of Public Health (MSc, MPH) and the University of New South Wales (MBBS). Education: MSc - Johns Hopkins Bloomberg School of Public Health (1995) MPH - Johns Hopkins Bloomberg School of Public Health (1993) DTMH - Mahidol University (1988) MBBS - University of New South Wales (1984) His research interests span mental health interventions in conflict zones, cross-cultural methodologies, and trauma recovery. He has led projects in regions such as Africa, Asia, and the Caribbean, focusing on psychosocial support for survivors of violence and disaster-affected communities. Notable initiatives include evaluations of counseling programs in Aceh, Haiti, and Kurdistan. Dr. Bolton’s publications emphasize the integration of qualitative and quantitative methods to enhance program effectiveness, with a focus on randomized clinical trials for psychosocial interventions. He advocates for holistic approaches that bridge clinical research and real-world service delivery. His work addresses urgent global health challenges, including gender-based violence in the Democratic Republic of Congo and mental health recovery in post-conflict areas like Iraq and Indonesia.

Kelvin Kam-fai TSOI蔡錦輝View profile

Associate Professor

• Hypertension and Cardiovascular Diseases
• Cognitive Impairment and Dementia
• Digital Health
• +4 more

Prof. Kelvin Kam-fai TSOI is an Associate Professor at the JC School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong (CUHK). He holds courtesy appointments at the Stanley Ho Big Data Decision Analytics Research Centre and The Jockey Club Institute of Ageing. A Visiting Associate Professor at Nanyang Technological University’s Lee Kong Chian School of Medicine and Visiting Professor at Shenzhen Institutes of Advanced Technology, he specializes in Digital Health and Epidemiology. Education: BSc in Statistics and PhD in Public Health from CUHK. Postdoctoral training in Gastroenterology and Hepatology at CUHK’s Department of Medicine and Therapeutics. Served as Director of the CUHK JC Bowel Cancer Education Centre and worked in the Hospital Authority on chronic disease management projects. Research interests focus on digital innovations for chronic disease management, including AI in hypertension, cognitive screening technologies, and wearable health devices. His work combines traditional epidemiology with big data analytics, emphasizing interdisciplinary collaboration between medicine and engineering. Key projects include developing a mobile blood pressure management platform via DeepHealth Limited, a social enterprise he founded in 2019. Current research explores seasonal effects on blood pressure variability and AI applications in healthcare. He co-founded the International Society for Digital Health and organizes global symposiums on digital health innovation. Grants & Awards: Supported by CUHK’s Sustainable Knowledge Transfer Fund (SKPF). Awards include IBM Honorarium Award (2020) and President’s Prize for Best Paper Presentation (2017).

• Statistical Mechanics
• Probability Theory
• Discrete Geometry
• +3 more

Richard Kenyon is the Erastus L. DeForest Professor of Mathematics at Yale University, serving as Director of Undergraduate Studies. His research focuses on statistical mechanics, probability, and discrete geometry, with notable contributions to dimer models, random tilings, and integrable systems. He has explored topics such as limit shapes, phase transitions, and combinatorial configurations. His work intersects algebraic geometry, combinatorics, and mathematical physics, often involving the analysis of lattice models and their applications. His research includes open problems such as tiling optimization, geometric spanning surfaces, number theory questions, and rigidity of tilings. Kenyon's gallery showcases visualizations of mathematical concepts, including random triangulations, Vinnikov curves, and conformal mappings. His academic contributions span over three decades, with recent articles addressing dimers, webs, and eigenvalue properties. He actively collaborates on projects like the six-vertex model, multiwebs, and renormalizable dynamical systems. Kenyon’s academic service includes directing undergraduate studies at Yale and contributing to initiatives in discrete differential geometry. His work highlights the interplay between pure mathematics and applied probability, with applications in physics and combinatorial optimization.

Petar PopovskiView profile

Professor

• Wireless Communication
• Internet of Things
• Ultra-Reliable Low Latency Communication
• +12 more

Petar Popovski is a Professor at the Department of Electronic Systems within the Technical Faculty of IT and Design at Aalborg University, Denmark. His research focuses on next-generation wireless communication systems, with a strong emphasis on ultra-reliable low-latency communication (URLLC), Internet of Things (IoT), multiple access, and 6G technologies. He leads several high-impact research projects, including the Classique - Center for Classical Communication in the Quantum Era funded by the Danish National Research Foundation and WATER (Wireless Architectures for intelligent and Trusted connectivity in the posT-5G ERa) supported by Villum Fonden. His research interests span key areas in modern communication theory and systems, including random access , non-terrestrial networks , satellite communication , and machine learning for reliable communication . He is actively involved in advancing the integration of sensing and communication, digital twin technologies, and quantum-era classical communication frameworks. The recent publications highlight a strong trend toward deterministic and reliable access in wireless networks, integration of sensing and communication for industrial automation, and novel physical-layer techniques using reconfigurable intelligent surfaces. These works are published in top IEEE journals such as IEEE Transactions on Communications , IEEE Transactions on Haptics , and IEEE Transactions on Vehicular Technology . Award highlights include the Best Student Paper Award (2021) , recognizing his mentorship and collaborative research excellence. Prof. Popovski serves as a principal investigator (PI) and supervisor in multiple research projects, securing significant funding from national and international bodies such as the Danish National Research Foundation and the European Space Agency (ESA). He hosts visiting researchers regularly and contributes to scientific leadership through editorial roles and conference participation. He is a key figure in the Connectivity section at Aalborg University and leads cutting-edge research in future wireless systems, contributing to both theoretical foundations and practical implementations in smart infrastructure, space communication, and dependable 6G networks.

Stephen C. SmithView profile

Professor

• Development Economics
• Poverty Alleviation
• Economics of Organization
• +7 more

Stephen C. Smith is Professor of Economics and International Affairs and Chair of the Department of Economics at George Washington University. He is also Research Fellow at the Institute of Labor Economics (IZA), Nonresident Senior Fellow at the Brookings Institution, and member of the BRAC-USA Advisory Council. He previously served as Director of the Institute for International Economic Policy (IIEP) and as founding director of GW’s International Development Studies Program. Ph.D. in Economics, Cornell University His research focuses on development economics, particularly poverty reduction, climate change adaptation, and the economics of cooperatives and employee participation. His work combines rigorous empirical analysis with policy relevance, drawing on field research in Bangladesh, India, Uganda, Senegal, Germany, and other countries. He has authored or co-authored over 50 journal articles and several influential books, including the widely adopted textbook Economic Development (13th ed., 2020) with Michael Todaro and Ending Global Poverty: A Guide to What Works . His recent publications span topics such as agricultural extension in Uganda, works councils in Germany, multidimensional poverty targeting in Bangladesh, and climate adaptation in India. These works reflect a consistent focus on policy evaluation, institutional design, and the economic mechanisms underlying poverty traps and development outcomes. Fulbright Research Scholar Jean Monnet Research Fellow IZA Research Fellow Visiting Fellow, Brookings Institution Nonresident Senior Fellow, Brookings Institution Fulbright Senior Specialist UNICEF Senior Research Fellow Smith has supervised numerous doctoral students and taught core courses in development economics at undergraduate, master’s, and PhD levels. He has been Principal Investigator on major research projects funded by USAID/BASIS, including work on training, technology, and credit in smallholder agriculture. He has also served as Associate Editor of the Journal of Economic Behavior and Organization and consulted for the World Bank, UNDP, ILO, and USAID. His research program integrates fieldwork, policy engagement, and academic scholarship to advance understanding of effective strategies for global poverty reduction.

Emily ReeveView profile

Academic

• Deprescribing
• Polypharmacy
• Geriatrics
• +3 more

Emily Reeve is a Senior Research Fellow at Monash University's Centre for Medicine Use and Safety, focusing on deprescribing and polypharmacy. She holds an NHMRC Investigator Grant (2021-2025) and has held fellowships including an NHMRC-ARC Dementia Research Development Fellowship. Her work addresses medication optimization in older adults, particularly those with dementia or frailty. Education: PhD from University of South Australia (2014), postdoctoral research at University of Sydney and Dalhousie University (Canada). She also completed a visiting research stint at the Brocher Foundation (Switzerland). Research Interests: Deprescribing strategies and guidelines Polypharmacy reduction in geriatric populations Pharmacy practice innovation Health services research in dementia care Projects: Current initiatives include leading the 'Educating health professionals through a Knowledge Transfer Framework' project and co-investigating deprescribing safety via the GEODES project. Awards: Medal from School of Pharmacy and Medical Sciences (2014). Grants: NHMRC Investigator Grant (EL2), NHMRC-ARC Fellowship. Labs/Teams: Collaborates with global networks including the NHMRC Cognitive Decline Partnership Centre and the Dalhousie University Department of Medicine.

Anirban ChakrabortiView profile

Professor

• Econophysics
• Sociophysics
• Complex Systems
• +14 more

Anirban Chakraborti is a Professor at the School of Computational and Integrative Sciences, Jawaharlal Nehru University (JNU), New Delhi, India, where he has been a faculty member since 2014. He previously held academic positions at École Centrale Paris (France) as Chercheur Senior (Associate Professor) and Chargé de Recherche (Assistant Professor), and earlier roles at Banaras Hindu University, Brookhaven National Laboratory (USA), and Helsinki University of Technology (Finland). He is a leading figure in the interdisciplinary field of econophysics and complex systems. Education: Diplôme d’Habilitation à Diriger des Recherches (2013), Université Pierre et Marie Curie – Paris VI, France (Physics) Ph.D. in Physics (2003), Saha Institute of Nuclear Physics, Jadavpur University, India Post-M.Sc. in Physics (1999), Saha Institute of Nuclear Physics, Jadavpur University, India (Ranked First) M.Sc. in Physics (1998), University of Calcutta, India (Ranked First) B.Sc. in Physics (1996), Scottish Church College, University of Calcutta, India His research interests lie at the intersection of physics, economics, and data science. He is particularly known for pioneering work in econophysics , including the statistical mechanics of money, wealth distribution, agent-based market models, and network-based analysis of financial and social systems. He also works on complex systems , computational finance , statistical physics , and nanosciences , with applications in sensing and imaging. His work often involves modeling socio-economic phenomena using tools from statistical physics. His recent publications span topics such as financial fluctuations, wealth inequality, network analysis of conflicts, order book dynamics, and nanomaterial characterization. These works reflect a strong trend toward interdisciplinary research combining physics, economics, and data analytics, with a focus on real-world applications in finance, inequality, and social systems. Scientific Awards: Indian National Science Academy Young Scientist Medal (2009) He has advised Ph.D. students such as Kiran Sharma and leads the ETC (Experimental-Theoretical-Computational) Lab at JNU, which brings together physicists, computer scientists, and mathematicians. The lab has been involved in international collaborations, including projects funded by the Estonian Ministry of Education and Research and consultancies with TCS Innovation Labs and DONO Consulting. His research has been supported through grants and collaborative projects, reflecting strong industry and global academic engagement.

Martin AignerView profile

Associate Professor

• Psychiatry
• Neurology
• Psychotherapeutic Medicine
• +12 more

Martin Aigner is Associate Professor and Private Lecturer at the Karl Landsteiner Private University of Health Sciences, where he heads the Clinical Department of Psychiatry and Psychotherapeutic Medicine at Tulln University Hospital. He also teaches at the Medical University of Vienna and the University for Continuing Education Krems. A board member and president (2022–2025) of the Austrian Society for Psychiatry, Psychotherapy, and Psychosomatics (ÖGPP), he is also involved in the Austrian Pain Society and Austrian Balint Society. His research interests center on the integration of biological, psychological, and social factors in psychiatry, with key areas including transitional psychiatry, obsessive-compulsive and mood disorders, the gut-brain axis, and the impact of environmental toxins like mycotoxins on mental health. He leads the PhD program in 'Mental Health and Neuroscience' and supervises doctoral research. His recent publications reflect a strong trend in interdisciplinary mental health research, combining clinical psychiatry with neuroscience, nutrition, and digital health. Themes include neurofeedback for addiction, microbiome influences on depression, and psychosomatic manifestations in chronic conditions. His work often involves neuroimaging and clinical trials. Three scientific prizes from the Austrian Pain Society Scientific prize from the Vienna Association for Neurology and Psychiatry Contributor to WFSBP guidelines on pharmacological treatment of eating disorders Co-author of guidelines for post-viral conditions He serves as principal investigator in multiple funded projects, including studies on depression and the microbiome, probiotics, and psychosis triggers. He is also co-investigator in follow-up care and community mental health initiatives. Aigner is editor-in-chief of psychopraxis. neuropraxis and advocates for digital health literacy and sustainable mental health structures, particularly in youth care. He leads the Research Center for Transitions Psychiatry, emphasizing early intervention, resilience, and patient empowerment through recovery companions. His team includes habilitated senior physicians, fostering innovation in clinical and research settings.