جست‌وجوی استاد و پژوهشگر

Greg Keoleianمشاهده پروفایل

استاد

• Sustainable Systems
• Renewable Energy
• Life Cycle Assessment
• +۴ مورد دیگر

Greg Keoleian is the Peter M. Wege Endowed Professor of Sustainable Systems at the University of Michigan. He co-founded and directs the Center for Sustainable Systems and co-leads the MI Hydrogen initiative. His research focuses on advancing life cycle assessment (LCA) methodologies to evaluate the sustainability of technologies, products, and systems. Key areas include renewable energy systems (e.g., wind, solar, bioenergy), transportation decarbonization, circular economy frameworks, and food/agricultural systems. He teaches interdisciplinary graduate courses on Sustainable Energy Systems and Industrial Ecology, and co-directs the Engineering Sustainable Systems Dual Degree Program and the Rackham Graduate Certificate Program in Industry Ecology. Research interests emphasize integrating environmental, economic, and social metrics into sustainability assessments. Notable contributions include pioneering LCA models for hydrogen energy systems, vehicle lifecycle optimization, and circular economy pathways for automotive materials. His work spans global and regional scales, addressing challenges such as reducing greenhouse gas emissions, optimizing resource efficiency, and promoting sustainable urban infrastructure. Keoleian’s recent work highlights synergies between emerging technologies (e.g., wireless charging, autonomous vehicles) and sustainability goals. He collaborates with policymakers and industry leaders to translate research into actionable strategies for deep decarbonization and circular economy adoption. Initiatives like the State of Michigan Hydrogen Roadmap exemplify his focus on bridging academic research with practical implementation. His interdisciplinary approach ensures comprehensive analysis of energy systems, industrial processes, and consumer behaviors. Keoleian’s teaching and mentorship emphasize systems thinking and cross-sector collaboration. He has shaped curricula that prepare students for leadership roles in sustainable systems design, policy development, and corporate sustainability management. Ongoing projects include optimizing reusable packaging systems, evaluating food waste impacts, and modeling urban energy justice in electric vehicle deployment.

Yuvraj Agarwalمشاهده پروفایل

استاد

• Systems
• Embedded Systems
• Security
• +۷ مورد دیگر

Yuvraj Agarwal is a Professor in the School of Computer Science at Carnegie Mellon University , where he leads the SYNERGY Labs . His research focuses on Systems and Networking with emphasis on Embedded Systems , Security , and Energy Efficiency in computing environments. He has been recognized with the NSF Expeditions in Computing Award for Computational Decarbonization research and multiple best paper awards. Education : PhD in Computer Science from University of California, San Diego Research Leadership : Founder/Director of SYNERGY Labs; Executive Director of NSF Expeditions in Variability (2010-2013) Research Trajectory : Recent publications highlight his work on Privacy-preserving smart classroom systems (EduSense, ClassID) IoT security labeling frameworks Audio privacy protection mechanisms Computational decarbonization of infrastructure His research combines hardware-software co-design with societal impact considerations. Scientific Recognition : NSF Expeditions in Computing Award for CoDec (2024) Ubicomp/IMWUT Distinguished Paper Award (2024) CHI Best Paper Honorable Mention (2022) Advising & Collaboration : Mentors students in IoT systems , privacy research , and green computing . Collaborates with institutions including University of Massachusetts Amherst and industry partners like Johnson Controls. Grants include NSF funding for multi-university research initiatives.

Claudia R. Binderمشاهده پروفایل

استاد

• Urban Sustainability
• Transition Research
• Urban Metabolism
• +۵ مورد دیگر

Claudia R. Binder is Full Professor at EPFL's School of Architecture, Civil and Environmental Engineering, leading the Laboratory for Human-Environment Relations in Urban Systems (HERUS) since 2016. Previously, she held professorships at the University of Munich (2011-2016), University of Graz (2009-2011), and University of Zurich (2006-2009). She served as Dean of EPFL's ENAC School from 2020-2023 and holds advisory roles with Swiss federal institutions including the Mercator Foundation since 2024. Her academic foundation includes a Biochemistry degree and PhD in Environmental Sciences from ETH Zurich, followed by postdoctoral research at the University of Maryland. This interdisciplinary background underpins her research approach spanning natural and social sciences. Professor Binder's work centers on urban sustainability transitions, examining urban metabolism dynamics through systems science frameworks. She investigates energy-food-transport interdependencies in cities using transdisciplinary methods that integrate material flow analysis, spatial modeling, and socio-technical assessments. Her research particularly emphasizes regulatory mechanisms and transformation drivers in human-environment systems, with case studies across Swiss and global urban contexts. Recent publications reveal evolving focus from foundational urban metabolism studies toward actionable transition strategies. Her 2024-2025 work increasingly addresses social tipping dynamics, circular decarbonization, and spatially explicit waste management, demonstrating methodological innovation through geo-referenced material flow analysis and participatory backcasting frameworks. Key thematic clusters include energy innovation diffusion, plastic waste governance, and demand-side flexibility in residential systems. She actively mentors 7 current PhD candidates while supervising 11 graduates since 2018, with research spanning urban metabolism modeling, sustainability assessment, and transition governance. Her leadership extends to Swiss National Science Foundation committees and National Research Program 71 on energy consumption management. At EPFL, she directs the HERUS laboratory which develops the Sustainability Solution Space methodology for urban assessment. The lab operates at the intersection of data science, environmental engineering, and social theory, maintaining strong field connections in Switzerland, Indonesia, and Germany for empirical validation of transition models.

Qifeng Liمشاهده پروفایل

دانشیار

• Convex Optimization
• Nonlinear Systems
• Power and Energy Systems
• +۶ مورد دیگر

Qifeng Li is an Associate Professor at the University of Central Florida specializing in Electrical Engineering with a focus on power and energy systems. His research integrates convex optimization and nonlinear dynamics to address challenges in renewable energy integration, microgrid stability, and energy-water-hydrogen nexus systems. Research Interests: Convex optimization, nonlinear systems, grid resilience, energy-water-food nexus Grants: NSF and DOE projects on microgrid stability and cross-system coordination Professional Roles: Editor for CSEE Journal, IEEE Battery Energy Storage Work Group member Honors: China National Scholarship 2012 His recent publications emphasize data-driven optimization methods, voltage stability analysis, and machine learning applications in power systems. Key trends include hybrid physics-data-driven models, stochastic disturbance analysis, and real-time grid control solutions. Scientific Awards: China National Scholarship (2012)

Daniel Fosas de Pandoمشاهده پروفایل

استادیار

• Net Zero Buildings
• Building Retrofits
• Indoor Air Quality
• +۳ مورد دیگر

Dr Daniel Fosas de Pando serves as Chancellor's Fellow in Net Zero Buildings at the University of Edinburgh's School of Engineering, within the Department of Civil and Environmental Engineering and the Research Institute for Infrastructure and Environment. His work bridges building science, climate resilience, and humanitarian engineering with a focus on practical decarbonization strategies. Research interests center on net zero building retrofits at scale , indoor air quality optimization , and climate-adaptive design , particularly in vulnerable contexts like refugee shelters. His methodology combines computational modeling with field monitoring to address energy-carbon trade-offs under climate change constraints, emphasizing actionable decision-making tools for designers and policymakers. Publication trends reveal strong focus on building decarbonization pathways (38% of recent work), shelter environments for displaced populations (29%), and climate risk communication (16%). Key themes include scaling retrofit interventions, occupant behavior impacts, and simplified modeling for resource-constrained settings. Major recognitions include: Dufton Silver Medal (2022) for pioneering Active Buildings framework Best Paper Award Theme Energy (2022) Best Paper Award (2017) for building simulation research He leads the £36m InBuilt project decarbonizing non-domestic building portfolios, supervises PhD candidate M. Yildrim, and collaborates with international teams across Japan, Ethiopia, and the UK. His grant portfolio emphasizes scalable solutions for building stock management and climate resilience. Research is conducted through the Infrastructure and Environment Institute with strong ties to humanitarian engineering networks, producing open datasets on shelter thermals and building decarbonization pathways.

• 3D Computer Vision
• Computer Vision
• Machine Learning
• +۴ مورد دیگر

Kwang Moo Yi is an Assistant Professor in the Department of Computer Science at the University of British Columbia (UBC), where he conducts research in computer vision and machine learning. He is affiliated with the Computer Vision Lab, CAIDA (Centre for Artificial Intelligence Decision-making and Action), and ICICS (Institute for Computing, Information and Cognitive Systems) at UBC. Education: B.Sc. from Seoul National University Ph.D. from Seoul National University under Prof. Jin Young Choi Post-doctoral researcher at École Polytechnique Fédérale de Lausanne (EPFL) with Prof. Pascal Fua and Prof. Vincent Lepetit Dr. Yi's research focuses on Visual Geometry with the goal of understanding local environments, adapting to them, and acting within them. His work spans applications in autonomous vehicles, drones, robots, and Augmented/Mixed Reality systems. He employs machine learning, particularly deep learning, as the primary tool for advancing computer vision capabilities. His recent publications demonstrate a strong focus on neural rendering techniques, especially 3D Gaussian Splatting and Neural Radiance Fields (NeRF). The research trends show increasing sophistication in handling occlusions, improving rendering quality, and developing more efficient training methods for neural fields. There's also significant work connecting computer vision with practical applications in industrial settings and energy systems. Dr. Yi serves as an area chair for top computer vision and machine learning conferences including CVPR, ICCV, ECCV, NeurIPS, ICML, and AAAI. He was part of the organizing committee for CVPR 2023. He supervises graduate students including Eric (who recently completed his PhD), Gopal (now at Samsung Research), and Jeong-Gi (joining as a postdoctoral fellow). His teaching includes CPSC 425: Computer Vision and CPSC 533Y: 3D Computer Vision with Deep Learning. Dr. Yi is actively involved with the Computer Vision Lab at UBC, collaborating with researchers across CAIDA and ICICS. His work bridges theoretical computer vision with practical applications in various domains including astronomy, industrial automation, and energy systems.

• Sustainability Assessment
• Life Cycle Assessment
• Circular Economy
• +۵ مورد دیگر

Dr. Li Shen is an Associate Professor at the Copernicus Institute of Sustainable Development , Utrecht University since 2015. She holds the Energy & Resources group and has been active in sustainability assessment of materials and energy systems since completing her PhD in 2011. Education: BEng (Mechanical Engineering, cum laude 1999, Shanghai) MSc (Sustainable Development, track Energy and Resources 2006, Utrecht University) PhD (2011, Utrecht University, thesis: Bio-based and Recycled Polymers for Cleaner Production – an Assessment of Plastics and Fibres ) Research Interests: Dr. Shen specializes in Life Cycle Assessment and Technological Sustainability Evaluation of Bio-based Plastics , Plastics Recycling , Waste Management , and Nanomaterials . Her work bridges Environmental Science , Chemical Engineering , and Sustainable Development through rigorous system analysis. Scientific Publications: Leading expert in Circular Economy applications for plastics Developed Ex-ante LCA frameworks for emerging materials Key contributor to PEF Bio-based Bottle sustainability analysis Active in Telescope Energy Systems sustainability Published in Nature Communications , Science of the Total Environment , and Journal of Cleaner Production Teaching: Responsible instructor for Advanced Energy Analysis in the Master Energy Science program. Also teaches Life Cycle Assessment and Sustainable Resources Use in the Global Sustainability Science bachelor program. Supervises numerous master thesis projects from Energy Science (ES), Sustainable Development (SD-EM), and Science for Energy Innovation (SBI) programs.

Reza Fazeliمشاهده پروفایل

پژوهشگر ارشد

• Energy Systems Decarbonisation
• Climate Policy
• Multi-criteria Decision Analysis
• +۲ مورد دیگر

Dr. Reza Fazeli is a Research Fellow at the Zero-Carbon Energy for the Asia-Pacific Grand Challenge at the Australian National University's School of Engineering. He joined ANU in January 2020, following six years as a Research Analyst and Adjunct Lecturer at the University of Iceland. His research focuses on sustainable energy transitions, decarbonization strategies, and energy policy assessment. Education background: PhD in Sustainable Energy Systems, University of Porto (MIT-Portugal program) MSc in Energy Systems Engineering, Sharif University of Technology BSc in Mechanical Engineering, University of Tehran Dr. Fazeli's research spans energy modeling, system dynamics, and multi-criteria decision analysis. He investigates decarbonization pathways for transportation and energy systems, GIS-based sustainability assessments, and hydrogen economy transitions. His work combines technological and behavioral perspectives to develop sustainable energy solutions. His recent publications focus on hydrogen certification, emission accounting frameworks, and renewable integration challenges. Articles consistently address policy-technical interfaces in energy transitions, with increasing emphasis on international hydrogen trade and certification systems since 2021. Dr. Fazeli leads research on green hydrogen economy assessments and coordinates cross-disciplinary projects at the ANU Energy Change Institute.

Hiroyuki Isekiمشاهده پروفایل

دانشیار

• Transportation Equity
• Land Use Planning
• Transit-Oriented Development
• +۲ مورد دیگر

Hiroyuki Iseki is Associate Professor of Urban Studies and Planning at University of Maryland's School of Architecture, Planning and Preservation, and Research Affiliate with the National Center for Smart Growth. His work examines interactions between transportation, land use, equity, and environmental sustainability. Research focuses on: Transit-oriented development impacts on firm location Equity in public transit finance Climate policy implementation in urban planning Active transportation infrastructure analysis Recent publications analyze post-pandemic transit demand shifts, campus multimodal conflicts, and bicycle accessibility modeling. Methodological strengths include spatial econometrics, GIS analysis, and longitudinal data approaches. Work increasingly addresses climate adaptation in transportation planning and EV charging grid impacts. Research contributes to urban policy through WMATA collaborations and Japanese municipal climate planning studies. Current PhD program directorship advances urban planning analytics training.

Roozbeh Torkzadehمشاهده پروفایل

پژوهشگر

• Smart Grids
• Synchrophasor Technologies
• Power Quality
• +۳ مورد دیگر

Roozbeh Torkzadeh is a researcher with expertise in smart grids, synchrophasor technologies, and power quality. He completed his M.Sc. (Hon.) in Electrical Engineering at Yazd University (2013) and earned his Ph.D. from the Department of Electrical Engineering at Eindhoven University of Technology (TU/e) in 2023. His Ph.D. project was funded by Netbeheer Nederland. He has held research roles at Universidad Loyola Andalucía (Spain) and TenneT TSO BV (Netherlands), and is currently a guest researcher at TU/e while working as a Senior Electrical Engineer at Shell Global Solutions International, focusing on grid connection, renewable integration, and decarbonization. Education: M.Sc. (Hon.) in Electrical Engineering, Yazd University (2013) Ph.D. in Electrical Engineering, Eindhoven University of Technology (2023) Roozbeh’s research spans power systems, renewable energy integration, and grid stability. He has contributed to voltage dip assessment, energy transition impacts on network quality, and PMU placement optimization. His work emphasizes practical challenges in wide-area measurement systems, fault current injection, and synthetic inertia control for low-inertia grids. Recent publications highlight trends in energy transition-driven grid modifications, voltage dip analysis, and synchrophasor applications. Key subfields include network modeling, renewable energy markets, and hydrogen scheduling. Scientific Awards: Next Generation Network (NGN) Showcase Presentation Award (CIGRE, 2021) His Ph.D. grant from Netbeheer Nederland and collaborations with Dutch grid operators underscore his industry-academia engagement. Current roles in Shell and TU/e reflect his focus on electrification and decarbonization projects.

• Energy Systems
• Renewable Energy
• Sustainable Development
• +۳ مورد دیگر

Sanna Syri is a Professor at Aalto University's School of Engineering , specifically within the Department of Energy and Mechanical Engineering . Her research focuses on large-scale energy systems, emphasizing climate change mitigation through innovative electricity market strategies and sustainable district heating solutions. Research Interests : Climate-resilient energy systems Electrification of district heating Data center waste heat utilization Renewable energy integration Green hydrogen production Recent Work examines Nordic electricity market dynamics, cold climate energy challenges in Finland and Japan, and the economic implications of electrified district heating systems. Her publications address critical energy transition issues through experimental and modeling approaches. Contact : sanna.syri@aalto.fi

Chee-Wooi Tenمشاهده پروفایل

استاد

• Power systems engineering
• Power grid cybersecurity
• Cyber-informed security engineering
• +۴ مورد دیگر

Chee-Wooi Ten is a tenured Professor in the Department of Electrical and Computer Engineering at Michigan Technological University, where he has served since 2010 and achieved tenure in 2016. He concurrently holds an Affiliated Professor appointment in Applied Computing and directs both the PSERC Site and ICC CPS Center. His institutional roles emphasize cyber-physical security integration within power infrastructure. His educational background includes: PhD in Electrical Engineering from University College Dublin (2009) MSc in Electrical Engineering from Iowa State University (2001) BSc in Electrical Engineering from Iowa State University (1999) Ten's research pioneers cyber-informed security engineering strategies for bulk power systems, focusing on quantifying rare events through system risk models and data science. His work bridges power grid interactions with robotics and transportation systems to advance decarbonization and electrification. Key methodologies include validating cyber-physical security frameworks against steady-state and dynamic grid approaches, with emphasis on attack/defense combinatorics and smart home technologies. This transdisciplinary approach supports the fourth industrial revolution's resilience requirements. His publication trends reveal strong focus on risk-aggregated substation testbeds using generative adversarial networks, cyber insurance models for power systems, and cascading failure analysis from switching attacks. Recent works increasingly integrate machine learning with physics-based modeling to address cybersecurity threats in inverter-based resource integration and distribution emergency operations. Ten has secured over $6.5M in active funding including: $2M DOE grant (MTU portion $105,000) for CyDERMS Center on DERs/Microgrids cybersecurity $704,409 CyManII award for secure digitalization in smart manufacturing $1.05M DOE ARPA-E grant for decarbonized freight transportation modeling NSF CyberCorps Scholarship for Service program ($3.38M) His grants consistently address risk management through data-driven and physics-based modeling, with industry partnerships through PSERC and utility collaborations. As ICC CPS Center Director, he leads research on cyber-physical security testbeds and coordinates the PSERC Summer Transformation School. His team develops validation frameworks for NERC CIP compliance while addressing practical pain points in OT cybersecurity for grid operators.

• Climate Resilience
• Energy Systems
• Transportation Engineering
• +۴ مورد دیگر

Constantine (Costa) Samaras is the Trustee Professor of Civil and Environmental Engineering and Director of the Wilton E. Scott Institute for Energy Innovation at Carnegie Mellon University. He is also affiliated with the Department of Engineering and Public Policy and holds a courtesy appointment in the Heinz College of Information Systems and Public Policy. Director, Scott Institute for Energy Innovation Trustee Professor, Civil and Environmental Engineering Affiliated Faculty, Engineering and Public Policy Courtesy Faculty, Heinz College of Information Systems and Public Policy His research focuses on systems engineering approaches to climate resilience , clean energy transitions , and infrastructure security . Key areas include: Transportation electrification and automation Climate adaptation for infrastructure Energy policy under uncertainty AI impacts on energy systems Equity in decarbonization National security implications of energy Costa Samaras co-authored 15 recent studies spanning energy burden analysis, climate hazard indices, AI training energy optimization, and nature-based infrastructure solutions. His work emphasizes transdisciplinary collaboration between engineering, policy, and climate science. Notable scientific recognition includes being named Professor of the Year by the Pittsburgh Section of the American Society of Civil Engineers in 2018. He has led significant policy engagements including White House service (2021-2024) as Principal Assistant Director for Energy and Chief Advisor for Clean Energy Transition. Current affiliations include: Founder/Director, Center for Engineering and Resilience for Climate Adaptation Founder/Director, Power Sector Carbon Index Former Senior Researcher, RAND Corporation (2009-2014) Former Adjunct Senior Analyst, RAND Corporation (2014-2021)

• Sustainable Construction
• Construction Engineering and Management
• Project Management
• +۵ مورد دیگر

Ahmed Hammad is an Associate Professor in the Department of Civil and Environmental Engineering at the University of Alberta's Faculty of Engineering, where he also serves as Director of Academic Integrity, ENG WIL, Co-op and Career Connections. With 25 years of industry experience as a Project Planning & Control Manager on global mega-projects (including Oil Sands, LNG, and Infrastructure across Canada, UAE, Australia, and Egypt), he brings extensive practical expertise to academia. Education: Doctorate of Philosophy, Construction Engineering & Management, University of Alberta (2009) Master of Science, Construction Engineering & Management, University of Alberta (1999) Master of Engineering, Construction Engineering and Management, Cairo University (1996) Bachelor of Science, Civil Engineering, Mansoura University (1989) Research Focus: Dr. Hammad's work centers on applying smart tools to achieve sustainable construction through maximizing efficiency and minimizing waste . His research employs Machine Learning , Multi-Criteria Decision Making , Knowledge-Based Decision Support Systems , and digital twin technologies to optimize project planning, resource allocation, and sustainable material selection. He investigates the integration of BIM and Augmented Reality to enhance construction processes while reducing environmental impact. Publication Trends: Recent publications (2023-2025) emphasize sustainable construction methodologies, with 60% focusing on GHG reduction, resource optimization, and decision support systems. Key themes include machine learning for labor estimation, TOPSIS/MCDM for sustainable material selection, and digital twins for production planning, reflecting his NSERC-funded projects on KBDSS and construction-oriented digital twins. Scientific Recognition: Best Paper Award at 8th International Conference on Industrial Engineering and Operations Management (2018) Best Paper Award at HBRC Green Smart Sustainable Buildings Conference (2024) Research Leadership: Dr. Hammad secures major industry-academic partnerships, including NSERC Mission Alliance Grants ($1.2M+) with 16 industry partners for GHG reduction projects and NSERC Alliance Grants with 9 partners for digital twin development. His completed projects include collaborations with the City of Edmonton and Alberta Ministry of Infrastructure on resource allocation models. Research Ecosystem: As leader of the Sustainable Construction Research Group (SCRG), he fosters industry-academia collaboration through regular workshops with construction firms and government agencies, focusing on translating research into practical tools for sustainable project delivery.

Henri van Soestمشاهده پروفایل

استاد

• Artificial Intelligence
• Machine Learning
• AI Governance
• +۱۲ مورد دیگر

Henri van Soest is a Professor of Policy Analysis at the RAND School of Public Policy and a Senior Analyst at RAND Europe. He is based at RAND, a global policy research organization, where he leads studies on energy security, artificial intelligence governance, critical infrastructure protection, and European Union policy. His work supports key institutions including the European Union, UK government, and Dutch government. His research focuses on the intersection of technology and policy, particularly in energy systems and AI. Key areas include: AI governance and trustworthy AI tools Energy security and digitalisation of the power grid Critical undersea infrastructure protection Cybersecurity in energy systems Space technology regulation Societal resilience and national security The trend in his recent publications shows a growing emphasis on the dual-use nature of AI in critical infrastructure, balancing innovation with security and resilience. His work combines technical analysis with policy recommendations, often using modeling and expert elicitation. Much of his research addresses transatlantic and European policy challenges, especially in energy and security domains. Scientific contributions and policy impact are evident through frequent publications and expert submissions to governmental bodies. Notable outputs include evidence submissions to the UK Parliament and reports for the U.S. Department of Energy. While no formal awards are listed, his influence is reflected in high-level policy engagement. He has advised on grants and policy studies involving global teams, particularly in energy transition, AI infrastructure, and resilience planning. His prior experience includes energy policy research at the University of Oslo, cleantech analysis, and corporate governance in banking. He holds a Ph.D. from the University of Cambridge and a joint LL.M. from KU Leuven and the University of Zurich. Henri van Soest leads research within RAND Europe’s multidisciplinary teams focusing on science, technology, and security policy. His work often involves collaboration across international experts and institutions, particularly on EU and NATO-related security issues. He contributes to projects involving horizon scanning, Delphi studies, and quantitative modeling in policy contexts.