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Muralee MurugesuView profile

Professor

• Inorganic Chemistry
• Molecular Magnetism
• Quantum Properties
• +3 more

Muralee Murugesu is a Full Professor and Associate Vice-Rector of Innovation, Partnership & Entrepreneurship at the University of Ottawa's Department of Chemistry and Biomolecular Sciences within the Faculty of Science. His research focuses on designing nanoscale inorganic materials to study magnetic, conductive, and optical properties, with emphasis on molecular magnets, hybrid materials, and quantum applications. Notable projects include the development of single-molecule magnets (SMMs), lanthanide-based cluster-aggregates, and energetic materials. The Murugesu Group explores applications in quantum computing, molecular-scale electronics, and luminescence thermometry. Education details are not explicitly provided, but his academic career spans over two decades, initiating the Murugesu research program in 2006. Research interests include inorganic/organometallic chemistry, molecular magnetism, quantum properties, and nanomaterials. Key techniques used are X-ray diffraction, NMR, and SQUID magnetometry. Recent publications highlight advancements in SMMs, hybrid fullerene/carbon nanotube systems, and lanthanide-based optical/thermometric materials. Articles emphasize magnetic relaxation, luminescence thermometry, and energy transfer processes in nanostructured systems. The group's work intersects energy storage (e.g., photocatalytic hydrogen production), security (fingerprint detection), and quantum technologies. While no awards are listed, the research portfolio demonstrates significant contributions to materials science and magnetism. Advising and grants are not detailed here, though the group’s sustained output suggests strong institutional and external support. The lab’s focus on cluster-aggregates and molecular-scale devices reflects a vision for next-generation optomagnetic and energy systems.

Holly WilcoxView profile

Professor

• Suicide Prevention
• Public Health
• Adolescent Health
• +6 more

Holly Wilcox is a Professor in the Department of Mental Health at the Johns Hopkins Bloomberg School of Public Health with joint appointments in the Department of Health Policy and Management, Johns Hopkins School of Medicine, and Johns Hopkins School of Education. She serves as President of the International Academy of Suicide Research (IASR), member of the Scientific Council and Board of Directors of the American Foundation for Suicide Prevention (AFSP), suicide prevention consultant for the World Health Organization, and Affiliate Investigator at Australia's Centre for Research Excellence in Suicide Prevention. PhD, Johns Hopkins University (2003) MA, New York University (1998) BS, Northeastern University (1991) Dr. Wilcox's research focuses on public health approaches to suicide prevention through community-based universal prevention programs, data linkage strategies, and cross-sector implementation in schools, universities, social media, and emergency departments. Her work emphasizes population-based strategies targeting suicidal behaviors and addresses health disparities through culturally adapted interventions. She leads Johns Hopkins' multidisciplinary Suicide Prevention Working Group and actively mentors students, having won the Johns Hopkins Advising, Mentoring, and Teaching Recognition Award three times. Analysis of her recent publications reveals a strong emphasis on leveraging real-world data systems (Maryland Suicide Data Warehouse), developing ecological prevention models across multiple settings, and implementing evidence-based practices through policy mechanisms like the STANDUP Act. Her work increasingly integrates digital epidemiology (social media analysis) with traditional public health approaches while maintaining focus on vulnerable populations including adolescents, Latinx communities, and youth in child welfare systems. Recipient of the Andrej Marušic Suicide Research Award (2010) Dr. Robert Lewis Kane Memorial Award for data linkage research (2017) Multiple teaching excellence awards including AMTRA (2007, 2020, 2022) Best paper award in Archives of Suicide Research (2019) Dr. Wilcox has secured competitive grants from NIH, WHO, and other agencies to support her research. She actively collaborates with international organizations including WHO/UNICEF and Pan American Health Organization. Her mentorship extends to numerous students through the Johns Hopkins Bloomberg School of Public Health, where she teaches courses on suicide as a public health problem. She leads the Suicide Prevention Working Group that coordinates interdisciplinary research across Johns Hopkins divisions.

Yves Marc RäthView profile

Researcher

• Urban Morphology
• Settlement Development
• Geospatial Analysis
• +3 more

Yves Marc Räth is a Ph.D. researcher at the ETH Zürich within the Department of Civil, Environmental, and Geomatic Engineering (D-BAUG). His work intersects urban morphology, historical settlement analysis, and network modeling. Education: MSc in Spatial Development and Infrastructure Systems (2018-2020), BSc in Geography (2015-2018) at University of Zurich Research focuses on urbanization patterns , settlement network evolution , and geospatial time series analysis . Key projects include the EMPHASES study on socio-ecological systems and HistoRiCH research on historical river landscapes. Recent publications analyze settlement archetypes through ResearchGate projects, with a 2025 Cities journal article identifying five distinct urban development pathways on the Swiss Plateau since 1899. His 2023 Scientific Reports study examines morphological homogeneity in small settlements near urban centers. Current affiliations include: Ph.D. Researcher at Institute for Spatial and Landscape Development Visiting Scholar at Urban Systems Lab, New York City (2024) Contributor to Swiss transport planning at INFRAS and EBP Technical expertise spans: Historical map digitization Building footprint analysis Commuter flow modeling Predictive urban archetypes

Kim KyungMannView profile

Professor

• Biostatistics
• Clinical Trials Methodology
• Time-to-Event Data Analysis
• +6 more

Prof. KyungMann Kim is a Professor of Biostatistics and Medical Informatics at the University of Wisconsin–Madison, with affiliate faculty status in the Department of Statistics and School of Computer, Data & Information Sciences (College of Letters and Science). As Director of the Clinical Trials Program, they lead the Data Management, Auditing, and Coordinating Center (DMACC) for the National Cancer Institute's Cancer Prevention Clinical Trials Network (CP-CTNet). Their work spans multiple NIH-funded randomized controlled trials across disciplines including cancer immunology, cardiovascular disease, and infectious diseases. Research Focus: Specializes in statistical methods for clinical trials, including sequential design, complex time-to-event analysis, and causal inference. Applies these methods to translational research in cancer prevention, tumor immunotherapy, and clinical oncology. Active in developing methodologies for clustered data and zero-inflated count data in healthcare settings. Key Projects: Leads data coordination centers for major clinical trials. Current initiatives include the CP-CTNet, managing multi-site cancer prevention trials. Collaborates extensively with clinical researchers in hematology, oncology, and cardiovascular medicine. Professional Contributions: Serves as Principal Investigator for multiple NIH-funded data coordinating centers. Advises on statistical design and analysis for rare genetic disorder trials and other critical medical research programs.

• Comparative Political Economy
• Economic Policy
• Social Policy
• +3 more

Ulrich Glassmann is a Professor of Comparative Political Economy at the Europa-Universität Flensburg (EUF) since 2016. He is also an associated researcher at the The Politics of Inequality Excellence Cluster at the University of Konstanz. From 2021 to 2024, he served as Vice President for Europe and International Affairs at EUF, leading the successful EMERGE-Higher Education Alliance application under the European Universities Initiative. Education: Magister in Political Science, History & Philosophy (University of Cologne, 1997) PhD in Political Economy (University of Osnabrück, 2005) Research focuses on economic, education, and social policy in international contexts, particularly inequality, debt, and corruption dynamics. His work emphasizes cooperation/conflict patterns among economic and political actors in collective action dilemmas, with a regional focus on Mediterranean economies. He has held visiting positions at the University of Siena and served as interim professor at the University of Konstanz. Grants include funding from Volkswagen Foundation and Thyssen Foundation. Current affiliations include Konstanz's Kulturelle Grundlagen von Integration cluster. Publications emphasize EU-Italy relations, regional disparities, and digital economy impacts. Professional contributions include editorial roles and policy analysis work. His research bridges political economy theory with empirical studies on Mediterranean regional dynamics and European integration challenges.

Mike RobinsonView profile

Professor

• Cultural Heritage
• Tourism Studies
• Industrial Heritage
• +4 more

Mike Robinson is Professor of Cultural Heritage at Nottingham Trent University’s School of Architecture Design and the Built Environment. With over 30 years’ expertise, he focuses on heritage-tourism intersections, advising governments and organizations globally. His work bridges tangible/intangible heritage values and their societal impacts across 40+ countries. Education: PhD in Environmental Sciences/Political Anthropology from University of East Anglia. Previous roles include Professor at University of Birmingham, founder of Ironbridge International Institute for Cultural Heritage, and visiting professorships at National Taiwan University and University of Trento. Research Interests: Heritage’s evolving values, sustainable tourism practices, industrial heritage revitalization, and transnational cultural routes. Key themes include World Heritage Site management, museum curation, and the role of heritage in community identity. Grants & Collaborations: Led UNESCO-funded projects in Uzbekistan and China, AHRC-funded initiatives on World Heritage sustainability, and partnerships with institutions like University of Illinois and Peking University. Served as editor for Journal of Tourism and Cultural Change and advisory roles for UNESCO and Council of Europe. Labs/Teams: Core member of Nottingham Trent’s Cultural Heritage Research Cluster, collaborating with global networks like UNESCO World Heritage Sustainable Tourism Programme and Europe’s Cultural Routes Programme.

Steven CasperView profile

Professor

• Biotechnology Clusters
• Innovation Ecosystems
• Entrepreneurial Ecosystems
• +4 more

Steven Casper is the Henry E. Riggs Professor of Management and Program Director (MBS) at the Keck Graduate Institute's Riggs School. He specializes in the 'business of science,' focusing on biotechnology clusters, innovation ecosystems, and global health policy. Previously, he held roles as a University Lecturer in Innovation and Entrepreneurship at the University of Cambridge's Judge Institute of Management Studies and a Senior Research Fellow at the Social Science Center in Berlin. Dr. Casper's research examines regional entrepreneurial ecosystems, non-market technology development in global health, and cross-national comparisons of biotechnology policies. He holds a PhD in Government from Cornell University and has been funded by the National Science Foundation and the English Social Research Council. Notable awards include Fulbright Research Scholar status and fellowships at Stanford's Center for Advanced Study and the Netherlands Institute for Advanced Studies. Education: PhD in Government (Cornell University) Key Research Themes: Biotechnology Clusters, Entrepreneurial Ecosystems, Global Health Drug Development, Policy Impact on Innovation Grants & Funding: NSF, English Social Research Council His recent work explores networks in global health drug development and the role of public policy in shaping innovation ecosystems. He has authored influential books such as Creating Silicon Valley in Europe (Oxford University Press, 2007) and publishes widely in economic sociology and public policy journals.

Shahin SirouspourView profile

Professor

• Robotics
• Autonomous Systems
• Control Systems
• +7 more

Shahin Sirouspour is a Professor in the Department of Electrical and Computer Engineering at McMaster University. His research focuses on robotics, autonomous systems, control systems, and optimization, with applications in aerial robotics, teleoperation, haptics, medical robotics, and smart energy grids. He is affiliated with the Telerobotics, Haptics and Computational Vision Laboratory and teaches courses such as Non-linear Control Systems and Electrical Systems Integration Project. He holds a Ph.D. from the University of British Columbia and has supervised numerous graduate students. His lab includes advanced equipment like multi-axis robotic manipulators, haptic interfaces, and real-time computing systems. Education: B.Sc. and M.Sc. from Sharif University of Technology (Iran), Ph.D. from University of British Columbia (Canada). Current roles include accepting graduate students and leading research clusters in Digital & Smart Systems, Energy, and Transportation. Awards include the McMaster President's Award for Excellence in Graduate Supervision. His work bridges theoretical control systems with practical applications in healthcare, energy, and autonomous systems. Research highlights include developing control strategies for multi-agent robotic systems, smart grid optimization, and medical robotics. Collaborations with institutions like MacAUTO and industry partners (e.g., MDA Space Missions) enhance translational impact. His lab supports projects on asymmetric teleoperation, deformable tissue simulation, and microgrid energy management.

Amin Reza RajabzadehView profile

Associate Professor

• Biochemical Engineering
• Biosensors
• Separation Processes
• +7 more

Dr. Amin Reza Rajabzadeh is an Associate Professor at the W Booth School of Engineering Practice and Technology, McMaster University, with affiliate roles in the McMaster School of Biomedical Engineering and Mechanical Engineering. He specializes in biochemical engineering, focusing on biosensors, bioseparation processes, and bioprocess monitoring. His research includes developing biosensors for biological process monitoring and nanotechnology-based cancer therapies. He holds a Professional Engineer license (P.Eng.) and is a member of the Canadian and American Engineering Education Associations. Dr. Rajabzadeh's teaching spans core biochemical engineering courses like Bioreactor Design and Bioprocess Control. He has received the McMaster President’s Award for Teaching and a MacPherson Leadership in Teaching Fellowship. His research clusters span Energy, Environment, Health & Bio-innovation, and Micro-Nano Systems. Recent work includes nanoplatforms for photothermal cancer therapy (ACS Applied Materials & Interfaces, 2021) and innovations in sustainable protein enrichment via tribo-electrostatic separation. Collaborations span biomaterials, environmental engineering, and nanotechnology. Awards: Teaching Excellence Awards, Leadership Fellowships Research Themes: Biosensors, Nanomedicine, Bioseparation Technologies Labs/Teams: Biomedical Engineering Research Group, Nanotechnology Applications Lab

Vagelis PapalexakisView profile

Associate Professor

• Data Science
• Machine Learning
• Artificial Intelligence
• +3 more

Dr. Vagelis Papalexakis is an Associate Professor and Ross Family Chair in the Computer Science & Engineering Department at the University of California, Riverside. His research focuses on data science, machine learning, and tensor methods, with applications in multi-aspect/multi-modal data analysis. He holds a Ph.D. from Carnegie Mellon University and a Diploma/M.Sc. from the Technical University of Crete. Affiliations: Ross Family Chair, Bourns College of Engineering, UCR Education: Ph.D. in Computer Science, Carnegie Mellon University M.Sc./Diploma in Electronic & Computer Engineering, Technical University of Crete His work emphasizes interpretable insights from complex datasets, including tensor-based defenses against adversarial attacks, graph representation learning, and scalable algorithms for high-dimensional data. Notable awards include the NSF CAREER Award (2021), IEEE DSAA Next Generation Award (2021), and ICDM Tao Li Award (2022). Grants include NSF funding for railway safety (CISE MSI: RPEP CPS), USDOT transportation research, and NVIDIA GPU grants. He leads projects in AI ethics, misinformation detection, and gravitational wave analysis. His lab collaborates with industry (e.g., Cisco, Instacart) and national labs (e.g., Lawrence Livermore).

Sandrine DudoitView profile

Professor

• Statistical Methodology
• Computational Biology
• Genomics
• +5 more

Sandrine Dudoit is a Professor and Chair of the Department of Statistics at the University of California, Berkeley. She earned her PhD in Statistics from UC Berkeley in 1999 and joined the faculty in 2001. Her research focuses on statistical methodology and computing with applications to genomics, biomedical research, and precision health. She co-founded the Bioconductor Project , an open-source software initiative for biological data analysis, and leads interdisciplinary projects in single-cell transcriptomics and computational biology. Education: PhD in Statistics (UC Berkeley, 1999), M.Sc. in Mathematics (Carleton University, Canada). Research interests include high-dimensional statistical learning, single-cell RNA-Seq analysis, stem cell differentiation in the olfactory system, and statistical computing. She collaborates with biologists like John Ngai to study neuroepithelial regeneration using cutting-edge sequencing technologies. Recent work emphasizes trajectory inference, biomarker discovery, and methodological advances in handling high-dimensional genomic data. Her lab develops tools for normalization, clustering, and differential expression analysis in large-scale biological datasets. She teaches courses on statistical genomics and serves as a leader in UC Berkeley’s Division of Computing, Data Science, and Society (CDSS). Advising: Supervises PhD students in statistical methodology, computational biology, and bioinformatics. Grants: Active in securing funding for interdisciplinary research projects in genomics and data science. Labs/Teams: Core member of the Center for Computational Biology (CCB) and contributes to the Bioconductor community.

Karin PetersView profile

Assistant Professor

• Leisure Studies
• Cultural Geography
• Sociology
• +3 more

Karin Peters is an Assistant Professor in the Cultural Geography Group at Wageningen University & Research, specializing in leisure, public space, diversity, and social integration. Her research focuses on how marginalized groups, particularly Muslim women and migrants, navigate leisure spaces in the Netherlands and Europe. She holds degrees in Agricultural Economics and Cultural Anthropology, blending interdisciplinary perspectives to study migration, urban environments, and cultural geography. Her work emphasizes the role of public spaces in fostering social cohesion and addressing exclusion. Key projects include analyzing the impact of weather on tourism experiences and the negotiation of identity among diasporic communities. Peters is part of the Mobilities cluster and serves as Editor-in-Chief of Vrijetijdstudies . Her research spans urban sociology, migration regimes, and the intersection of leisure with socio-cultural dynamics. Peters' publications address topics like multicultural neighborhood integration, gendered leisure constraints, and the commodification of landscapes in UNESCO Geoparks. She advocates for inclusive public spaces and sustainable tourism policies, contributing to both academic discourse and practical urban planning initiatives.

Michael ShapiroView profile

Professor

• Cluster Algebras
• Quiver Representations
• Mutation-Finite Quivers
• +3 more

Michael Shapiro is a Professor in the Department of Mathematics at Michigan State University (MSU), located in Wells Hall. His research focuses on cluster algebras, quiver mutations, and integrable systems, particularly the classification of quivers of finite mutation type. He collaborates extensively, including with Michael Gekhtman and Alek Vainshtein, and has developed computational tools like quiver.cpp and min_inf.cpp to analyze mutation classes. He holds a M.Sci. and Ph.D., with his work appearing in top journals and arXiv preprints. His teaching includes MTH 864 (Spring 2009), and he maintains a research page detailing his contributions to cluster algebra dynamics, directed networks, and Coxeter-Toda flows. His publications explore exotic cluster structures on SL_n and generalized Bäcklund-Darboux transformations, reflecting his expertise in algebraic and geometric combinatorics.

Abani PatraView profile

Professor

• Computational Sciences
• Data Driven Modeling
• Computer Science
• +5 more

Abani Patra is a Professor of Computer Science, Mathematics, Mechanical Engineering, and Civil and Environmental Engineering at Tufts University. He also serves as the Center Director for Data Science at the Tufts Institute for Artificial Intelligence (TIAI). His research focuses on computational sciences and data-driven modeling, with applications spanning environmental systems, biomedical imaging, and geophysical hazards. He has directed major initiatives at the National Science Foundation (NSF) and U.S. Department of Energy (DOE), and previously founded the Institute for Computational and Data Sciences at the University at Buffalo. Education: PhD in Mathematics, University of Texas, 1995 MS in Mechanical Engineering, University of Missouri, 1990 BSc in Engineering, Birla Institute of Technology & Science, India Research Interests: Large-scale computational modeling and uncertainty quantification Data-driven approaches for geophysical hazards (e.g., debris flows, volcanic eruptions) Biomedical imaging and metabolic analysis Open science platforms for glaciology and volcanology Key Projects: Developed the Ghub platform for open cryosphere research Launched VICTOR, a cyberinfrastructure for volcanology Advanced AI-driven techniques for postfire debris flow prediction Grants & Leadership: Directed NSF and DOE programs in computational science PI for NSF Cyberinfrastructure grants Former director of the Institute for Computational and Data Sciences

Özlem İlk DağView profile

Professor

• Longitudinal Data Analysis
• Multilevel Modeling
• Interactive Graphics
• +5 more

Prof. Dr. Özlem İlk Dağ is a Professor of Statistics at the Middle East Technical University (METU), Ankara, Turkey. She holds the position of Department Head of Statistics and serves on advisory boards for TUBITAK and the Journal of Biostatistics. Her academic journey includes roles from Research Assistant (1997) to Professor (2018), with affiliations in Actuarial Sciences and Biostatistics. Education: Ph.D. in Statistics (Iowa State University, 2004), M.S. and B.S. from METU. Research focuses on longitudinal data analysis, multilevel modeling, Bayesian methods, and biostatistics. She authored three editions of R Yazilimina Giris and a foundational book on multivariate longitudinal data analysis. Key contributions include developing marginalized transition random effects models (MTREM) and R packages like 'mmm'. Awards include METU's 20-year service recognition and teaching excellence. She has supervised numerous research projects and co-authored over 50 peer-reviewed articles across biostatistics, genomics, and statistical computing. Her work bridges statistical theory and application, with notable contributions to gene expression clustering, maternal antibody studies in veterinary science, and computational methods for longitudinal data. She maintains active collaborations in genomics and biostatistics, and her lab focuses on integrating statistical computing with biomedical research.