جستجوی استاد راهنمای دانشگاهی

Assela Pathiranaمشاهده پروفایل

استاد

• Water Infrastructure Asset Management
• Climate Resilience of Small Island Developing States (SIDS)
• Hydrological Modeling
• +۵ مورد دیگر

Dr. Assela Pathirana is a Professor at the IHE Delft Institute for Water Education, specializing in water infrastructure asset management (WIAM), climate resilience of Small Island Developing States (SIDS), and sustainable urban water systems. His work bridges academia, policy, and practice, focusing on digitalization, data-driven decision-making, and nature-based solutions. Key roles include Chief Technical Advisor for the Maldives’ water systems and leadership of a MOOC on SIDS climate adaptation. He holds a BSc (First Class Honours) from the University of Peradeniya and advanced degrees from the University of Tokyo, specializing in hydrology and water resources engineering. Education: Bachelor of Science in Civil Engineering (First Class Honours), University of Peradeniya, Sri Lanka Master’s and Doctoral Degrees in Civil Engineering (Hydrology and Water Resources), University of Tokyo, Japan Research Interests: Dr. Pathirana’s work emphasizes climate resilience, SIDS adaptation, urban flood risk management, and sustainable infrastructure. He develops decision-support tools for flood forecasting, evaluates land-use changes in Jakarta, and promotes equity in water rationing systems. His interdisciplinary approach integrates hydrological modeling, open-source software development, and policy analysis. Advising & Capacity Building: He leads training-of-trainers programs and capacity-building initiatives, enhancing postgraduate education in technical disciplines. His efforts focus on didactics and pedagogy, ensuring graduates gain both theoretical knowledge and practical expertise. Key Projects: Developed the WIAM curriculum at IHE Delft MOOC on SIDS climate adaptation and water security Consultancy for the Maldives’ Ministry of Environment and UNDP Labs & Collaborations: Engages in cross-disciplinary teams addressing urban water challenges, including sponge cities in China and flexible adaptation planning in Melbourne and Pune. His work with UNESCO-ICHARM and UNU underscores global water security and disaster risk reduction.

Katažyna Bogdzevičمشاهده پروفایل

استاد

• Private International Law
• European Law
• Human Rights
• +۲ مورد دیگر

Katažyna Bogdzevič is a Professor at Mykolas Romeris University (MRU) Law School, specializing in Private International Law , European Law , Human Rights , and Environmental Law . She leads the MRU Human Rights LAB and contributes to the Environmental Management Research LAB, focusing on legal frameworks for ecosystem services, climate change mitigation, and stakeholder engagement. Key Research Themes: Integration of Private International Law with Environmental Law , analysis of legal conflicts in nature-based solutions, and name rights under international human rights conventions. Policy Engagement: Serves as advisor to Lithuania's Minister of Justice Ewelina Dobrowolska , emphasizing knowledge transfer to legislative and judicial practices. Email: roffice@mruni.eu

Olatunji Johnsonمشاهده پروفایل

مدرس

• Spatial Statistics
• Epidemiology
• Public Health
• +۵ مورد دیگر

Dr Olatunji Johnson is a Lecturer in Statistics at The University of Manchester's Department of Mathematics. His research focuses on spatial and spatio-temporal statistics applied to global public health challenges, including tropical diseases like malaria and neglected tropical diseases (NTDs). He holds a PhD in Statistics and Epidemiology and has developed influential geostatistical methods and R packages (SDALGCP and MBGapp) for disease mapping and surveillance. Education: PhD in Statistics and Epidemiology (supervised by Prof. Peter Diggle). Research interests include model-based geostatistics, real-time health surveillance, and hybrid machine learning approaches for spatial data analysis. He is actively seeking PhD students interested in spatial statistics applications. Key Collaborations: Worked on projects in Kenya, Cameroon, Uganda, and Ethiopia, focusing on helminth control, air pollution impacts, and disease burden analyses. Part of the Statistical Advisory Unit and contributes to the UN Sustainable Development Goals through his work on health equity and disease elimination. Notable Projects: Developed methodologies for efficient survey design in NTD programs, air quality studies in African cities, and spatiotemporal modelling of pandemic risks. His work bridges statistical innovation with actionable public health policy.

Mehrdad Arashpourمشاهده پروفایل

دانشیار

• Automation and Robotics
• Computer Vision
• Deep Learning
• +۷ مورد دیگر

Summary Associate Professor Mehrdad Arashpour is an internationally recognized researcher and educator in construction and civil infrastructure, focusing on automation and information technologies. He leads the ASCII Lab at Monash University's Department of Civil and Environmental Engineering. His academic roles include Head of Construction Engineering and membership in the CIB's Working Commission on Off-site Construction (W121) and Infrastructure Task Group (TG91). Education: Ph.D., RMIT University, Australia M.Sc., Grenoble University, France B.Sc., IU University, Iran Research Interests: Digital twins, computer vision, robotics, BIM integration, sustainable construction, and automation in construction processes. His work contributes to UN Sustainable Development Goals, particularly in sustainable cities and communities. Grants & Awards: Over $6M in grants from ARC, Austroads, and industry partnerships. Recognitions include Editor's Choice Paper (ASCE, 2019) and Outstanding Reviewer (Elsevier, 2016). Teaching: Courses like Risk Management in Engineering Projects and Infrastructure Research Project. Advises on PhD topics in computer vision, robotics, and BIM. Labs & Collaborations: ASCII Lab focuses on smart, sustainable solutions for construction. Collaborates with global researchers and organizations like SPARC Hub and Building 4.0 CRC.

Jeffrey M. Timberlakeمشاهده پروفایل

استاد

• sociology of population
• urban sociology
• race and ethnicity
• +۴ مورد دیگر

Jeffrey M. Timberlake serves as Professor of Sociology and Director of Graduate Studies in the Department of Sociology at the University of Cincinnati. His academic career centers on population dynamics, urban structures, and racial inequality, employing rigorous quantitative methodologies to examine systemic patterns across American metropolitan areas. His leadership in graduate education shapes emerging scholars in sociological research. Dr. Timberlake's educational foundation includes: PhD in Sociology from the University of Chicago (2003) MS in Sociology from the University of Wisconsin-Madison (1998) BA in Social Sciences from the University of Michigan-Ann Arbor (1991) His research program investigates the sociology of population, urban sociology, race and ethnicity, and quantitative methods. Recent work analyzes racial residential segregation, housing discrimination, children's exposure to neighborhood poverty and violence, and demographic shifts from 1970-2020. His publications reveal consistent focus on spatial inequality, ethnoracial dynamics, and policy impacts in housing markets. Analysis of his 15 most recent publications shows dominant themes in residential segregation measurement, racial steering mechanisms, and urban demographic change. Methodologically, he combines longitudinal data analysis with spatial statistics to document evolving patterns of inequality, particularly examining how neighborhood contexts shape life outcomes across racial groups. As Principal Investigator, Dr. Timberlake manages multiple active grants: CDC IPA Agreement w/ NIOSH (2021-2022): $50,000 federal grant Ohio Department of Medicaid Assessment Survey (2022): $45,210 state grant Ohio State University sub-award (2022): $45,210 higher education grant Medicaid Assessment Survey Year Two (2022-2023): $78,904 federal award Medicaid Assessment Survey Years Three-Four (2023-2025): $106,736 state grant and $59,107 federal award His research program demonstrates sustained federal and state funding for empirical studies of housing markets and population dynamics, with current work focused on Ohio Medicaid assessment systems.

Stefano CAMPOSTRINIمشاهده پروفایل

استاد

• Social Statistics
• Public Health
• Healthcare Systems
• +۶ مورد دیگر

Stefano CAMPOSTRINI is a Full Professor in the Department of Economics at Ca' Foscari University of Venice, specializing in Social Statistics (STAT-03/B). He serves as a Member of the technical-scientific Committee of the Ca' Foscari Challenge School and the Department of Economics' Committee. His research activities are supported by affiliations with the Research Institute for Social Innovation and the Research Institute for Innovation Management. Professor CAMPOSTRINI's research spans the intersection of statistical methodology, public health, and social policy. His work demonstrates expertise in advanced statistical techniques including Bayesian modeling, spatial analysis, and complex survey methodology. His primary focus areas include healthcare systems analysis, social innovation, public administration, and the economic aspects of health policy. He frequently addresses issues related to comorbidity patterns, healthcare service accessibility, and the application of artificial intelligence in healthcare settings. His publication record from 2021-2025 reveals significant trends in healthcare innovation, with particular emphasis on virtual hospital systems, AI applications in medicine, sustainable healthcare practices, and the statistical analysis of social services like early childhood education. His methodological contributions include novel approaches to analyzing regional health disparities and developing web-based tools for disease prevalence estimation. His research often employs expert consensus methods like Delphi techniques to address complex healthcare organizational challenges. Professor CAMPOSTRINI maintains active involvement in research initiatives through the Research Institute for Social Innovation and the Research Institute for Innovation Management. His work bridges advanced statistical methodology with practical applications in healthcare policy and social service delivery, making significant contributions to evidence-based decision making in public health and social policy domains across Italy and European contexts.

• Data Science
• Artificial Intelligence
• Machine Learning
• +۱۰ مورد دیگر

Professor Zoheir Sabeur is Professor of Data Science and Artificial Intelligence at Bournemouth University (2019–present) and Head of the Processes and Behaviour Understanding (PRO_BU) Research Group. He concurrently serves as Visiting Professor of Data Science at Colorado School of Mines (2017–present) and held the position of Science Director at the IT Innovation Centre, University of Southampton (2009–2019). Over three decades he has led more than 30 large-scale projects as Principal Investigator, securing over £12 million of funding from the European Commission, UKRI, DSTL, NERC, EPSRC and industry. Education PhD in Theoretical Physics, University of Glasgow (1990) MSc in Theoretical Physics, University of Glasgow (1986) BSc First-Class Honours in Physics and Applied Mathematics, Université d'Oran (1984) Advanced Leadership Programme, Ashridge Business School (2011) Research Interests Professor Sabeur’s research focuses on the fundamental theory and application of data science and artificial intelligence to understand complex human, natural and industrial processes and behaviours. His work spans multi-modal sensing, big-data analytics and machine-learning algorithms that extract actionable knowledge from large heterogeneous datasets. Application domains include: Healthcare: AI-driven diagnostics and prognostics for chronic diseases such as COPD, asthma and cancers through omics and phenotypic data integration. Environmental & Climate: Earth-observation analytics for wildlife migration and climate-change impact assessment using satellite data and global grid systems. Maritime & Cyber-Physical Security: Real-time risk assessment for shipping in extreme environments, smart-city safety and critical-infrastructure protection using computer vision and sensor fusion. Recent research has produced novel AI classifiers that analyse lung-auscultation audio signals to grade COPD severity, as well as digital-twin frameworks for detecting malicious behaviour in urban spaces. Scientific Awards & Recognition Fellow of the British Computer Society (FBCS) Fellow of the Institute of Marine Engineering, Science & Technology (FIMarEST) Chartered Engineer (CEng) and Chartered Physicist (CPhys) Multiple ORS Awards (1987, 1988, 1989) Grants & Doctoral Supervision Professor Sabeur has secured and led more than 40 funded projects since 1996, including recent grants such as INSIGHT (NIHR, 2024) and S4AllCities (H2020, 2020). He currently supervises three ongoing PhD students at Bournemouth University and has successfully graduated three others, covering topics from computational hydrodynamics to AI-based respiratory-disease analytics. He welcomes enquiries from prospective postgraduate researchers interested in data science, AI and interdisciplinary applications under schemes such as UKRI and Horizon Europe.

Colin Garrowayمشاهده پروفایل

دانشیار

• Biodiversity
• Evolutionary Biology
• Genetics
• +۵ مورد دیگر

Dr. Colin Garroway is an Associate Professor in the Department of Biological Sciences at the University of Manitoba, Faculty of Science. His research focuses on understanding how population-level processes influence biodiversity at genetic, population, and species levels. He employs interdisciplinary approaches, including genomics, ecological modeling, and data synthesis, to address challenges in conservation and climate change impacts. His work often targets systems undergoing significant environmental changes, such as urbanized areas and Arctic ecosystems. Dr. Garroway teaches advanced courses in Evolutionary Genetics and Evolutionary Biology. His research emphasizes the interplay between human-driven environmental changes—such as urbanization and climate warming—and their effects on genetic diversity, species distribution, and adaptation. He leads the Garroway Lab, which collaborates on global projects like biodiversity assessments in protected areas and epigenetic studies in wildlife. Key research themes include: biodiversity conservation, climate adaptation genetics, urban evolution, and the genetic consequences of human activities. His work integrates field studies, genomic analyses, and computational models to provide actionable insights for conservation strategies.

Yong Chenمشاهده پروفایل

استاد

• Fisheries Ecology
• Stock Assessment
• Population and Ecosystem Dynamics
• +۳ مورد دیگر

Yong Chen is a Professor at the School of Marine and Atmospheric Sciences (SoMAS), Stony Brook University. He specializes in fisheries ecology, stock assessment, and climate change impacts on marine ecosystems. His research focuses on optimizing monitoring programs, evaluating fisheries management strategies, and understanding ecosystem dynamics under climate change. Education: Ph.D. from the University of Toronto (1995) Research Interests: Dr. Chen’s work addresses critical challenges in fisheries management, including stock assessment methodologies, climate-driven shifts in species distribution, and the integration of ecological and socio-economic factors into conservation strategies. His studies often involve advanced modeling techniques such as Ecopath with Ecosim and habitat suitability analysis. Key Themes in Publications: Recent articles highlight his focus on hybrid management strategies for mixed fisheries, climate impacts on species phenology and connectivity, and the efficacy of marine protected areas. He emphasizes data integration challenges and the development of decision support tools for sustainable fisheries. Grants and Advising: No specific grants or advisees are listed here. However, his research has likely involved collaborations with international fisheries organizations and government agencies. Labs/Teams: A lab site is referenced in his profile, though the specific team structure or ongoing projects are not detailed in the provided text.

David Wanikمشاهده پروفایل

استادیار

• Data Science
• Natural Hazards
• Remote Sensing
• +۳ مورد دیگر

David Wanik is an Assistant Professor in the Department of Operations and Information Management and Associated Faculty in the Department of Civil and Environmental Engineering at the University of Connecticut. He serves as Academic Director for Business Data Analytics at the Stamford campus and conducts research in the Eversource Energy Center, focusing on data science, natural hazards, remote sensing, and IoT applications in utility systems. PhD, MS, and BS in Environmental Engineering from University of Connecticut His research bridges natural hazard prediction, power grid resilience, and environmental data science. Key themes include: Machine learning for power outage prediction Climate change impact on energy demand Remote sensing for population and environmental monitoring IoT-enabled infrastructure hardening Recent publications emphasize deep learning for nighttime light imagery analysis, hybrid physics-data-driven models for grid resilience, and climate-integrated demand forecasting. His work integrates satellite data, LiDAR, and utility infrastructure records for predictive analytics. Teaching includes courses in business analytics, Python-based data science, and deep learning for the MS Business Analytics and Project Management program.

Sarah Howardمشاهده پروفایل

استاد

• Educational Technology
• Learning Analytics
• Data Science in Education
• +۳ مورد دیگر

Sarah Howard is an Honorary Professor at the School of Education, University of Wollongong, and concurrently holds roles such as Visiting Professor at Vrije Universiteit Brussel. Her research focuses on leveraging new technologies and data science to understand classroom practices, teacher change, and technology integration. Key areas include cultural and individual factors influencing teachers' digital technology use, blended learning environments, and automated classroom observation systems. She leads projects like national app use studies in primary schools and data/video mining methods for digital-physical space integration. Her academic roles include supervision of higher-degree research students across multiple institutions. Funding includes ARC grants and internal university schemes exploring rural student potential, generative AI in education, and flexible learning spaces. Her work emphasizes innovative educational technologies, teacher professional development, and systemic educational change. Recent publications span AI in education, blended learning frameworks, and teacher readiness for online instruction. She collaborates internationally, with a focus on integrating theoretical and practical insights to drive educational innovation.

Francisco Benitaمشاهده پروفایل

مدرس

• Data Science & Analytics
• Optimisation & Decision Science
• Economics & Public Policy
• +۱ مورد دیگر

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.

Eun Jeong Chaمشاهده پروفایل

دانشیار

• Structural Engineering
• Societal Risk & Hazard Mitigation
• Infrastructure Systems Risk Management
• +۳ مورد دیگر

Eun Jeong Cha is an Associate Professor in the Department of Civil and Environmental Engineering at the University of Illinois at Urbana-Champaign. She holds a Ph.D. (2012) and M.S. (2009) from Georgia Institute of Technology, and a B.S. (2006) from Seoul National University. Her research focuses on risk-informed decision-making for infrastructure resilience under natural hazards, including hurricane risk assessment under climate change, interdependent infrastructure systems analysis, and seismic risk mitigation. Education: Ph.D. in Civil Engineering, Georgia Tech (2012) M.S. in Civil Engineering, Georgia Tech (2009) B.S. in Architectural Engineering, Seoul National University (2006) Her research interests span structural reliability, disaster risk management, and the integration of climate change impacts into infrastructure design. Key areas include hurricane risk modeling, interdependent infrastructure recovery, and socially-aware retrofit prioritization. She has received awards such as the ASCE/EMI Probabilistic Methods Committee Student Paper Award (2012) and is a Fellow of the Next Generation of Hazards and Disasters Researchers (2015). Dr. Cha leads the R4 Group, advancing methodologies for resilient infrastructure systems. She actively contributes to professional societies like ASCE, serving on committees for load combinations and climate adaptation. Her work bridges engineering, risk analysis, and policy to enhance community resilience against extreme events.

• Geotechnical Engineering
• Seismic Analysis
• Soil Mechanics
• +۳ مورد دیگر

Youssef M A Hashash is the W. W. Grainger Chair and Professor in the Department of Civil and Environmental Engineering at the University of Illinois. His research focuses on geotechnical and earthquake engineering, with emphasis on seismic site response analysis, soil-structure interaction, and advanced computational methods like the Discrete Element Method (DEM). He has led projects on infrastructure resilience, including studies of buried water reservoirs, railway systems, and post-earthquake reconnaissance. Hashash has developed influential models for site amplification in Central and Eastern North America, contributing to seismic hazard assessments. His work integrates experimental centrifuge testing, numerical simulations, and field data. Notable contributions include guidelines for implementing NGA-East ground motion models and advancements in pore-water pressure generation models for liquefaction evaluation. Key Research Areas: Ground movement, seismic response, soil dynamics, and geotechnical data systems Major Projects: NGA-East Geotechnical Working Group, Beirut Explosion Analysis, and LA Metro Tunnel Projects Recipient of prestigious awards including the NAE Membership (2022), PECASE (2000), and Walter L. Huber Prize (2006), he collaborates internationally on earthquake engineering and geotechnical innovations. His lab develops tools like the DEEPSOIL software for nonlinear site response analysis and explores AI applications in geotechnical data interpretation.

Saleh Taghvaeianمشاهده پروفایل

دانشیار

• Irrigation Engineering
• Water Resources Management
• Precision Agriculture
• +۴ مورد دیگر

Saleh Taghvaeian is an Associate Professor in the Department of Biological Systems Engineering at the University of Nebraska-Lincoln and a Faculty Fellow at the Daugherty Water for Food Global Institute. His research focuses on precision irrigation systems, water resource management, and climate-resilient agricultural practices. He holds a Ph.D. in Irrigation Engineering from Utah State University and academic degrees from Ferdowsi University of Mashhad, Iran. Education: Ph.D., Irrigation Engineering, Utah State University M.S., Irrigation Engineering, Ferdowsi University of Mashhad, Iran B.S., Irrigation Engineering, Ferdowsi University of Mashhad, Iran Research Interests: His work integrates remote sensing, hydrological modeling, and machine learning to address challenges in irrigation efficiency, drought response, and sustainable water use. Key areas include soil moisture dynamics, crop water productivity, and the application of big data in agricultural systems. Publications Trends: Recent articles emphasize GRACE data downscaled analysis for water storage monitoring, AquaCrop modeling for crop performance under water stress, and machine learning applications in precision agriculture. His work spans transboundary water basins (Indus), U.S. High Plains, and Oklahoma Panhandle regions. Awards: 2021 Oklahoma State University Distinguished Early Career Faculty Award 2019 ASABE Larry W. Turner Young Extension Professional Award 2018 Oklahoma Cooperative Extension Service Honor Award Grants and Advising: Leads research projects on irrigation energy conservation, soil salinity mitigation, and agricultural drought resilience. Collaborates with institutions like USDA, UCOWR, and international partners on transboundary water management. Labs/Teams: Active in Nebraska's Water for Food Institute, leading interdisciplinary teams developing decision-support tools for irrigators and policymakers. Engaged in extension programs promoting smart irrigation technologies and water policy advocacy.