جست‌وجوی استاد و پژوهشگر

• Transport Modelling
• Economic Analysis of Transport
• Sustainable Transportation
• +۳ مورد دیگر

Anders Karlström is a Professor at KTH Royal Institute of Technology, specializing in Transport Modelling and Economics. His research focuses on sustainable transportation systems, emissions reduction, and energy efficiency. Key interests include activity-based modelling, dynamic discrete choice frameworks, and policy analysis for urban mobility. He has contributed to studies on travel behavior, infrastructure planning, and environmental impacts of transport systems across multiple international cities. His work integrates advanced methodologies such as recursive logit models, spatial regression, and machine learning for predictive analytics. Notable research areas involve evaluating weather variability effects on travel patterns, optimizing traffic state estimation with sensor data, and developing scenario-based models for future employment growth. Karlström collaborates with industries to enhance the competitiveness of sustainable transport solutions globally.

Inès Lamunièreمشاهده پروفایل

عضو هیئت علمی

• Architecture
• Urban Planning
• Sustainability
• +۳ مورد دیگر

Inès Lamunière is an Honorary Professor at École Polytechnique Fédérale de Lausanne (EPFL), where she previously held roles including Full Professor and Chair of the Department of Architecture (2008–2011). She is also a renowned architect, leading the firm dl-a, designlab-architecture SA in Geneva. Her academic career includes positions as Adjunct Professor at ETH Zurich (1991) and Visiting Professor at Harvard University’s Graduate School of Design (1996, 1999, 2008). She directed the LAMU-EPFL Laboratory (2001–2018), focusing on urban architecture and mobility. Education: Architect degree from EPF Lausanne (1980), followed by studies at the Swiss Institute in Rome and assistant lectureship under Werner Oechslin at ETH Zurich. Research Interests: Urban planning, sustainability, architectural history, and the integration of infrastructure into urban environments. Notable projects include the revitalization of Bellerive-Plage and the LAMU Laboratory’s studies on risky urban objects. Awards: 2011 Meret Oppenheim Prize (Swiss Art Award) and 2017 Chevalier des Arts et Lettres (France). Her work emphasizes context-sensitive design and sustainable urban development. She has supervised numerous theses and contributed to publications on architectural pedagogy, urban theory, and historical analyses of Le Corbusier’s work. Active in academic governance, she served as Vice President of the EPFL WISH Foundation (2006–2016) and on the Fondation pour le Développement des Arts et de la Culture board since 2016.

• Supply Chain Management
• Operations Management
• Business Analytics
• +۷ مورد دیگر

Rameshwar Dubey is a Full Professor of Operations Management at Montpellier Business School (France), Visiting Professor at Liverpool John Moores University (UK), and Adjunct Professor at Indian Institute of Management Jammu (India). He holds editorial roles across multiple journals, including Senior Associate Editor of the International Journal of Logistics Management and Associate Editorships at Journal of Humanitarian Logistics & Supply Chain Management, International Journal of Information Management, and others. His research focuses on supply chain resilience, humanitarian operations, sustainable practices, and digital transformation in crisis scenarios. He has been recognized as a top 1% cited scholar in Web of Science and among the top 200 in SCOPUS for Business Management and Operations Research. Dr. Dubey’s academic contributions include over 75 journal reviews, supervision of seven PhD and five DBA students, and examination of 37 theses globally. His work emphasizes applications in healthcare logistics, disaster relief, and emerging technologies like AI and IoT in supply chains. He has taught at institutions including the University of Leeds, UNESP Brazil, and Southern University of Science and Technology China. Awards: Outstanding Reviewer Awards (IJPE, JBR, JCP), Best Reviewer Awards (JHLSCM 2014/2016, MD 2018), and a 2019 Lifetime Achievement Title for contributions to supply chain science. Teaching: Logistics, Operations Management, Analytics, Research Methodology, and Data Science. Labs/Teams: Editorial leadership in over seven international journals, active participation in global SCOR and B2B risk frameworks.

Ian Mainمشاهده پروفایل

استاد

• Geophysics
• Seismology
• Rock Physics
• +۷ مورد دیگر

Ian Main is a Professor of Seismology and Rock Physics at the University of Edinburgh since 2000, within the School of GeoSciences. Previously, he held roles as Reader (1996–2000) and Lecturer (1989–1996) in similar fields. He earned a BSc in Physics from the University of St Andrews, an MSc in Geophysics from the University of Durham, and a PhD in Seismology from the University of Edinburgh. His research focuses on quantifying natural hazards, catastrophic failure mechanisms (e.g., earthquakes, volcanic eruptions), and fluid-rock interactions. He explores these phenomena through complex systems theory and non-linear dynamics, with applications to subsurface processes and urban disaster resilience. Main has held leadership roles including Director of Research at the School of GeoSciences and membership in national/international bodies such as the Natural Environment Research Council Science Committee and the Royal Society of Edinburgh Research Committee. He contributed to high-profile initiatives like the UKRI GCRF Multi-Hazard Urban Disaster Risk Transitions Hub and the International Commission on Earthquake Forecasting. Notable awards include the Louis Néel Medal (2014) and the Ed Lorenz Lecture (2019). He has been a visiting scholar at institutions like Stanford University and the Centre for Mathematical Research, Barcelona.

Olli Varisمشاهده پروفایل

استاد

• Water Resources Management
• Sustainable Development
• Climate Change Adaptation
• +۵ مورد دیگر

Olli Varis is an Aalto Distinguished Professor at Aalto University's Department of Built Environment, specializing in Water and Environmental Engineering. He holds adjunct professorships at Asian Institute of Technology (Thailand) and has served as Vice Dean for Research & Innovation at Aalto School of Engineering (2013–2018). His expertise spans water resources management in developing economies, climate change impacts, and transboundary water governance. Education: Doctoral degree in Engineering (Helsinki University of Technology, 1991), Licentiate (1988), and dual Master's degrees in Agriculture (University of Helsinki, 1986) and Engineering (Helsinki University of Technology, 1984). Research focuses on sustainable development goals (SDGs), particularly water-energy-food nexus dynamics, urbanization impacts, and global river basin vulnerabilities. Key interests include flood early warning systems, migration-environment linkages, and Asian transboundary water challenges. Notable awards include Aalto Excellence Awards (2018, 2021), Best Research Paper 2023, and Environmental Research Letters' Best Paper 2010. Over 350 publications include works on China's water risks, Nepal's flood resilience, and global migration drivers. Active in UNESCO, WMO, and UNU/WIDER. Recent projects address urbanization's environmental pressures, interdisciplinary education challenges, and东南亚数字经济的崛起与挑战 (Vietnam's digital economy challenges). Leads the Water and Environmental Engineering research group, supervising 12 theses. Involved in public outreach,如芬兰赫尔辛基大学的媒体参与案例.

Cai Laddمشاهده پروفایل

مدرس

• Coastal Wetlands
• Biogeomorphology
• Socio-Ecological Resilience
• +۴ مورد دیگر

Dr. Cai Ladd is a Lecturer in Geography at Swansea University's School of Biosciences, Geography and Physics. His research focuses on coastal wetlands, integrating biogeomorphology, socio-ecological resilience, and ecosystem service sustainability. He leads the 'Coastal Wetlands and Ecosystem Services' theme at the Climate Action Research Institute. Dr. Ladd teaches modules such as Coastal Processes, GIS Applications, and Sustainable Development Goals, emphasizing practical fieldwork and spatial statistics. Current projects include the Community-Led Enhancement and Restoration of Coastal Ecosystems in the Cumbrian Solway Firth (2022–2025), funded at £175,977. He supervises PhD student Rhian Hedd Meara on cross-border coastal conservation. His research employs spatial statistics, hydrological monitoring, and citizen science to develop management tools for coastal conservation. Notable contributions include studies on saltmarsh carbon stocks, mangrove restoration in tropical deltas, and innovative Mini Buoy sensor technology. Dr. Ladd collaborates globally, with publications in Frontiers in Marine Science , Nature Communications , and Environmental Pollution . His work bridges natural and social sciences, addressing climate adaptation and community-led conservation strategies.

Thomas Michael Sattichمشاهده پروفایل

دانشیار

• Geopolitics
• Sustainability Transition
• Energy Policy
• +۴ مورد دیگر

Thomas Michael Sattich is an Associate Professor at the University of Stavanger , affiliated with the Faculty of Social Sciences and Department of Media and Social Studies . His research focuses on geopolitical implications of sustainability transitions, particularly energy policy interdependence and EU-China relations. PhD in Political Science and Economics Expertise in qualitative methods, mixed methods (cluster analysis), and data visualization Lead researcher on EU-funded digital climate negotiation simulation projects His recent publications examine renewable energy geopolitics, industrial policy competition, and sustainability education frameworks. Methodologically, he specializes in Qualitative Comparative Analysis (QCA) and network analysis, contributing to debates on energy security and regional cooperation.

Olufemi A. Omitaomuمشاهده پروفایل

استاد مدعو

• Energy Infrastructure Siting and Analysis
• Artificial Intelligence in Critical Infrastructure Systems
• Anomaly Detection in Complex Systems
• +۴ مورد دیگر

Olufemi A. Omitaomu is an Adjunct Professor at the Department of Industrial and Systems Engineering within the Tickle College of Engineering at the University of Tennessee, Knoxville. He serves as a Group Leader and Distinguished R&D Staff at Oak Ridge National Laboratory (ORNL), leading the Computational Urban Sciences Group in the Computational Sciences and Engineering Division. Ph.D., Industrial Engineering (Information Engineering concentration), University of Tennessee, Knoxville M.S., Mechanical Engineering, University of Lagos, Nigeria B.S., Mechanical Engineering, Lagos State University, Nigeria Dr. Omitaomu’s research focuses on artificial intelligence in energy systems , cognitive coupling of human-machine systems , anomaly detection in complex systems , energy infrastructure siting and analysis , and disaster risk analysis with urban systems resilience . His work integrates computational models, optimization techniques, and geospatial frameworks to address challenges in critical infrastructure systems. The 15 most recent publications highlight trends in renewable energy integration , climate adaptation strategies , and emergency resource allocation . Key methodologies include agent-based modeling , multicriteria decision analysis , and wavelet shrinkage , applied to domains like energy systems , disaster management , and urban sustainability . Scientific recognition includes: Distinguished R&D Staff, Oak Ridge National Laboratory Senior Member, Institute of Industrial and Systems Engineers (IISE) Senior Member, Institute of Electrical and Electronics Engineers (IEEE) He actively mentors MS and PhD students with expertise in Python programming , game theory , and human-machine systems . His research is supported by collaborations with ORNL and interdisciplinary grants.

Patrick Brownمشاهده پروفایل

دانشیار

• Spatial Statistics
• Cancer Statistics
• Statistical Software
• +۳ مورد دیگر

Patrick Brown is an Associate Professor at the University of Toronto , affiliated with the Department of Statistical Sciences and cross-appointed to the Centre for Global Health Research and St. Michael's Hospital . His research focuses on spatio-temporal data modeling , Bayesian inference , and non-parametric methods for spatial epidemiology and environmental sciences. Fields of Interest : Spatial Statistics, Cancer Statistics, Statistical Software Education : PhD from University of Lancaster His methodological work encompasses Bayesian inference for non-Gaussian spatial data, Gaussian Markov random fields, and computational techniques like INLA and MRA. Applied research themes include disease mapping, environmental risk assessment, and public health surveillance using real-world data sources such as electronic health records and wastewater monitoring . He has developed key R packages (mapmisc, geostatsp, diseasemapping) supporting spatial statistical applications. Current collaborative projects span diverse fields: Ultra-diffuse galaxy detection with astrophysical applications Multi-pollutant mortality studies in Canadian cities SARS-CoV-2 seropositivity tracking Homelessness population estimation using EHR Geospatial cancer risk tools for Nova Scotia His work bridges statistical innovation with global health challenges , emphasizing computationally efficient solutions for large-scale spatiotemporal datasets.

Mehdi Farahaniمشاهده پروفایل

استادیار

• Operations Management
• Socially-Responsible Operations Management
• Service Operations Management
• +۵ مورد دیگر

Mehdi Farahani is an Assistant Professor at the C.T. Bauer College of Business, University of Houston, in the Department of Decision & Information Sciences. He holds a Ph.D. in Operations Management from the Jindal School of Management, The University of Texas at Dallas, and has previously served as an Assistant Professor at the University of Miami and as a Postdoctoral Associate at MIT's Center for Transportation & Logistics. His research focuses on Operations Management , with specialized interests in Socially-Responsible Operations , Service Operations , and Supply Chain Contracting . His work integrates sustainability, equity, and efficiency in operational decision-making, particularly in humanitarian and environmental contexts. The recent publications highlight a strong trend in sustainable and resilient operations, with applications in agriculture, infrastructure, cloud computing, and urban services. His research often involves modeling complex trade-offs under uncertainty and designing contracts or policies to improve system performance. Scientific Awards and Recognitions: Honorable Mention: POMS Humanitarian Operations and Crisis Management Best Paper Award Selected for presentation at the SIG Meeting on Service Operations MSOM 2021 Conference Featured in INFORMS Analytics Collections (formerly Editor's Cut) Mehdi Farahani advises on operations and supply chain research and contributes to graduate education through courses such as SCM 6301 (Supply Chain Management in Executive MBA) and SCM 7330 (Demand and Supply Integration). While specific grant details are not mentioned, his publication record in premier journals indicates strong research support and scholarly impact. He collaborates with leading researchers including M. Dawande, G. Janakiraman, and H. Gurnani. He is actively contributing to the advancement of operations management through high-impact research and academic engagement, with no indication of affiliation with a formal lab or research team beyond his published collaborations.

Emre Alpمشاهده پروفایل

دانشیار

• Watershed Management
• Water-Energy-Food Nexus
• Environmental Management and Policy
• +۵ مورد دیگر

Dr. Emre Alp is an Associate Professor at the Environmental Engineering Department of Middle East Technical University (METU) , where he has served since 2014. Previously, he held roles as Assistant Professor (2011-2014), Instructor (2008-2011), and Part-time Instructor (2008). His research spans Watershed Management , Water-Energy-Food Nexus , and Environmental Economics , with a focus on Diffuse Pollution and Water Quality Modeling using GIS and Remote Sensing . Education : Ph.D. in Civil and Environmental Engineering (2006), M.S. in Environmental Engineering (1999), and B.S. in Environmental Engineering (1997) from METU and Marquette University. Research : His work integrates Environmental Risk Assessment with optimization models like SWAT for nutrient load analysis, economic valuation of ecosystems, and urban waterway pollution control. Key projects include Sustainable Stormwater Management on METU campus and Water-Energy Nexus studies in Turkey. Publications : Over 14 refereed journal articles since 2007, focusing on Urban Hydrology , Environmental Economics , and Watershed Modeling . Awards : Post-Doctoral Scholarship (Marquette University, 2006-2008) and Research/Teaching Assistantships (Marquette, 2000-2006). Students : Supervised 2 Ph.D. and 7 M.S. theses on topics like climate change impacts, water allocation, and pollution control.

• Artificial Intelligence
• Natural Language Processing
• Machine Learning
• +۴ مورد دیگر

Yong-Bin Kang is a Senior Data Science Research Fellow at the ARC Centre of Excellence for Automated Decision Making and Society (ADM+S) at Swinburne University of Technology, affiliated with the School of Social Sciences, Media, Film and Education. He holds a PhD in AI from Monash University and leads numerous transdisciplinary research projects applying artificial intelligence to address complex societal challenges. Education: PhD in Faculty of IT, Monash University, Australia Dr. Kang's research focuses on Responsible AI and Society, with specific interests in developing Societal-AI platforms that integrate social data with ethical principles. His work spans healthcare, humanitech, education, financial planning, environmental health, and justice domains. He investigates how AI can enhance decision-making processes while promoting societal well-being, with particular attention to ethical implementation and human-centered approaches. His expertise encompasses AI, natural language processing, machine learning, and decision-making optimization. Analysis of Dr. Kang's recent publications reveals a strong trajectory toward socially responsible AI applications across diverse domains. His work consistently bridges technical AI capabilities with social implications, particularly focusing on ethical frameworks, community-centered design, and addressing societal inequalities through technology. The publications demonstrate increasing collaboration across disciplines including criminology, environmental science, mental health, and education. Dr. Kang is actively involved in significant research funding initiatives, with multiple ongoing projects that address critical societal challenges through AI. His supervision availability includes Doctorate (PhD) candidates, indicating his commitment to mentoring the next generation of researchers in AI and data science fields. Current Flagship Areas: Digital Capability Innovative Society Manufacturing Futures Sustainable Development Goals: Good Health and Well Being (SDG 3) Industry, Innovation and Infrastructure (SDG 9) Affordable and Clean Energy (SDG 7)

Aleksandr Aravkinمشاهده پروفایل

دانشیار

• Optimization
• Machine Learning
• Data Science
• +۴ مورد دیگر

Aleksandr (Sasha) Aravkin is Associate Professor in the Department of Applied Mathematics and Adjunct Associate Professor of Health Metrics Sciences, Mathematics, and Statistics at the University of Washington. He serves as Director of Mathematical Sciences at the Institute for Health Metrics and Evaluation (IHME), where he leads the Mathematical Sciences and Computational Algorithms team and contributes to strategic direction for applying mathematical sciences to analytic challenges. Dr. Aravkin earned his PhD in Mathematics (Optimization) and MS in Statistics from the University of Washington in 2010, following a BSc in Mathematics and Computer Science in 2004. His educational background forms the foundation for his interdisciplinary research approach. His research expertise spans large scale optimization, machine learning, data science, convex and variational analysis, algorithm design, robust statistics, inverse problems, and uncertainty quantification . These methodologies are applied across diverse domains including health metrics, computational medicine, tracking and navigation, seismic imaging, computational finance, and neuroscience. Dr. Aravkin has pioneered approaches for fusing physics-based and data-driven models, enabling innovative solutions to complex problems. Dr. Aravkin's publication record demonstrates a strong focus on health metrics and Global Burden of Disease studies, with recent work emphasizing meta-analytic approaches for risk-outcome relationships. His research spans epidemiological modeling, health effects of various exposures, and forecasting disease burden across populations. The publications reveal a consistent pattern of high-impact work in top journals including The Lancet and Nature Medicine, often addressing critical public health questions through rigorous statistical and mathematical frameworks. At IHME, Dr. Aravkin has led significant projects including the Burden of Proof Studies (2019-2024) which analyzed 153 risk-outcome pairs, and COVID-19 Modeling (2020-2023) where his team developed forecasting models and excess mortality estimation methods. He has also been instrumental in developing the Evidence Score model, requiring novel algorithmic approaches. His work bridges theoretical mathematical sciences with practical applications to improve global health policy and practice.

Maryegli Fussمشاهده پروفایل

پژوهشگر

• Sustainability Science
• Waste Management
• Circular Economy
• +۵ مورد دیگر

Dr. Maryegli Fuss is a Scientific Associate at the Institute for Technology Assessment and Systems Analysis (ITAS), Karlsruhe Institute of Technology (KIT) in Germany. She heads the 'Energy-X Nexus' working group within the 'Sociotechnical Energy Futures' research group and serves as academic mentor for the doctoral program Climate, Resources and Circular Economy (KLIREC) . She also contributes to ITAS's 'New Work' initiative and provides scientific advice for German-Indian university collaborations (TU9 network). Education: PhD in Philosophy (Sustainability), KIT (2022) MSc in Material Flow Management, Trier University of Applied Sciences (2012) BSc in Agro-industrial Chemistry, Federal Institution of Goiás, Brazil (2010) Research Focus: Her transdisciplinary work integrates sustainability science, systems analysis, and industrial ecology. Primary domains include: (1) Circular economy implementation in waste management systems, (2) Energy-resource nexus (Water-Waste-Energy-Food), (3) Supply chain risks for critical materials in renewable energy, and (4) Life cycle assessment of low-carbon transitions. Methodologies feature material flow analysis, stakeholder interviews, and socio-technical system modeling. Publications: Her research output emphasizes sustainable waste management in Global South contexts (especially Brazil), critical material supply chains for energy transitions, and environmental assessment frameworks. Recurring themes include circular economy implementation challenges, transdisciplinary approaches, and policy design for resource security. Leadership: Coordinates international research partnerships (e.g., Chile/Indonesia water-energy nexus projects) and leads doctoral mentoring initiatives focused on climate-resource systems.

• Nonlinear Dynamics
• Time Series Analysis
• Statistical Physics
• +۵ مورد دیگر

Prof. Dr. Holger Kantz serves as Head of the research unit "Nonlinear Dynamics and Time Series analysis" at the Max Planck Institute for the Physics of Complex Systems in Dresden, Germany. He also holds an Adjunct Professorship (Honorprofessor) in Statistical Physics at the Institute of Theoretical Physics within the Department of Physics at the Technical University Dresden. Dr. Kantz's research spans multiple disciplines within nonlinear dynamics and statistical physics. His work focuses on time series analysis, nonlinear dynamics, stochastic processes, and complex systems. He has made significant contributions to understanding anomalous diffusion, extreme events prediction, and the statistical properties of chaotic systems. His research has applications in atmospheric science, climate modeling, power grid dynamics, and biological systems. Analysis of Dr. Kantz's recent publications reveals a strong interdisciplinary approach connecting statistical physics with climate science, energy systems, and scientometrics. His work demonstrates sophisticated applications of stochastic modeling to real-world complex systems, with particular attention to anomalous diffusion processes, extreme events, and predictability limits in chaotic systems. The publications show increasing methodological sophistication in handling nonstationary time series and developing predictive models for rare events. Dr. Kantz leads a research group focused on nonlinear dynamics and time series analysis at the Max Planck Institute. His work has significant implications for understanding and predicting complex phenomena across multiple scientific domains, from climate dynamics to power grid stability, with practical applications in risk assessment and system reliability.