Find Academic Supervisors

• Supply Chain Management
• Modeling and Optimization
• Production and Service Systems Management
• +3 more

Prof. Şule Itır Satoğlu is a faculty member in the Department of Industrial Engineering at Istanbul Technical University, holding the rank of Professor since 2019. She has held multiple administrative roles, including Head of Department (2025–present), Vice Rector (2020–2024), and Vice Dean (2018–2020). Her research focuses on supply chain management, optimization, sustainable operations, and disaster response systems. She has a PhD in Industrial Engineering from Istanbul Technical University (2008), an MSc in Engineering Management (2002), and a BSc in Mechanical Engineering (2000). Her work emphasizes practical applications of optimization techniques in logistics, healthcare, and disaster management. Notable contributions include developing models for blood supply chains under uncertainty, UAV-based waste detection, and sustainable urban transport fleet electrification. She has collaborated on projects funded by public and private sectors, addressing issues like lean manufacturing integration with Industry 4.0 and RFID-enabled maintenance systems. Her publications span over two decades, with recent focus on multi-objective optimization in humanitarian logistics, smart waste collection systems, and energy-efficient drone surveillance. She is a member of the TMMOB Chamber of Mechanical Engineers and actively contributes to national technology initiatives through academic leadership roles.

• Sustainable Development
• Low-Carbon Technologies
• Energy and Building Technology
• +13 more

Dr. Behrang Vand Alimohammadisagvand is a Lecturer at the School of Computing, Engineering and the Built Environment, Edinburgh Napier University. His research focuses on sustainable energy systems, building performance, and smart energy management, with strong international collaboration across Iran, China, Finland, and the UK. B.Sc. and M.Sc. in Mechanical and Energy Engineering Ph.D. in Energy and Building Technology His research interests include sustainable development, low-carbon technologies, energy policy, thermal comfort in buildings, and energy management systems at multiple scales. He actively investigates model predictive control (MPC), demand response, energy sharing in communities, and low-temperature heating networks. His work bridges theoretical modeling and practical implementation in real-world buildings. Dr. Vand's recent publications highlight trends in integrated energy management , smart grid optimization , and decarbonization of building heating systems . His articles emphasize mathematical modeling, simulation, and control strategies to improve energy efficiency and reduce carbon emissions in the built environment. He supervises doctoral students working on smart IoT systems and low-temperature heat networks. His research is supported by funders such as the Academy of Finland and Energy Technology Partnership. Active supervisor for PhD project on smart IoT systems with real-time deep learning (since 2022) Director of Studies for PhD on heating Scottish public buildings with low-temperature networks (2018–2024) He is affiliated with the Institute for Sustainable Construction and contributes to the research theme Culture and Communities . His work aligns with global efforts toward net-zero emissions and sustainable urban development.

• Climate Policy & Politics
• Energy & Resources
• Environmental Policy & Politics
• +5 more

Jessica F. Green is a Professor at the University of Toronto, with cross-appointments in the Department of Political Science and the School of the Environment. Her research focuses on climate governance, non-state actors, private authority, and transnational regulation. BA, Brown University MPA, Columbia University PhD, Princeton University Green’s work examines how non-state actors and institutions outside the multilateral system address global environmental challenges. She analyzes the role of NGOs as de facto rulemakers in the climate regime, their partnerships with multinational corporations, and critiques the effectiveness of the Paris Agreement. Her recent research highlights the limitations of carbon pricing and offsets while advocating for reforms in international trade and finance institutions to accelerate decarbonization. Her publications span journals like Nature , International Organization , and Business and Politics , with a recurring focus on regime complexity, organizational ecology, and climate governance. She blogs regularly for the Washington Post and co-authored influential pieces on oil companies’ greenwashing strategies. 2022 Fellowship, Institute for Advanced Studies, Princeton University 2021 Featured Scholar of the Week, Green Climate Social Science Network Member of the Royal Society of Canada Green’s research has shaped debates on green industrial policy, net zero targets, and the political economy of climate change. She advises governments and corporations on regime complexity and transnational regulation, emphasizing the need for systemic reforms over incremental measures.

• Air Quality Management
• Carbon Management
• Emission Inventories
• +7 more

Enda Hayes serves as Professor of Air Quality & Carbon Management and Director of Research and Enterprise at the School of Architecture and Environment, University of the West of England (UWE Bristol). With over a decade of professional experience in environmental science, he specializes in atmospheric emissions management including odour, bioaerosols, traditional air pollutants, and greenhouse gases. His work spans technical modeling, policy development, and community engagement across multiple international projects. Dr. Hayes holds a PhD, MSc, and BSc (Hons), along with professional memberships MIEnvSc and MIAQM. His educational foundation has enabled extensive collaboration with governmental bodies including Defra, Devolved Administrations, South African government, Irish EPA, European Environment Agency, and European Commission. His research focuses on Air Quality Management, carbon management, emission inventories, dispersion modeling, bioaerosols, water-energy-food nexus, Water Security, and ammonia emissions. Recent work demonstrates interdisciplinary approaches combining environmental science with social dimensions of pollution management. He has particular expertise in urban air quality, agricultural emissions, and health impacts of traffic-related pollution. Analysis of Dr. Hayes' 136 publications reveals evolving research trajectories from technical emission modeling toward integrated socio-technical approaches. His recent work (2023-2025) shows strong emphasis on citizen science applications, health impacts (especially on children), advanced air quality forecasting techniques, and the psychological dimensions of climate decision-making. A consistent theme across his publications is bridging technical environmental solutions with social equity considerations. Dr. Hayes leads significant research initiatives including the Horizon 2020 ClariCity Project as Technical Director, the AmmoniaN2K Project with University College Dublin and Irish EPA, multiple NERC-funded bioaerosol studies, and European Commission support on Ambient Air Quality Directive review. His projects consistently integrate scientific rigor with practical policy applications and community engagement.

Fangsheng GeView profile

Lecturer

• Maritime Transportation
• Supply Chain Management
• Mathematical and Statistical Modelling
• +3 more

Dr. Fangsheng Ge is a Lecturer in Management Science at Southampton Business School, University of Southampton, serving as CORMSIS coordinator since 2022 with interdisciplinary research spanning maritime transportation, supply chain management, and statistical modeling. His educational background includes a BSc in Mathematics from Wuhan University (China), followed by MSc and PhD in Mathematical Sciences from the University of Southampton. Research focuses on applying game theory to supply chain optimization, high-dimensional data analysis for decision making, and maritime decarbonization. Current projects integrate operational research with statistical methods to address complex logistical challenges in shipping and pandemic response systems. Recent publications demonstrate consistent expertise in maritime economics and spatio-temporal modeling, with a strong trend toward quantitative optimization of transportation networks and epidemic dynamics using advanced statistical frameworks. Dr. Ge actively supervises PhD students and coordinates CORMSIS research initiatives, though specific grant details remain unlisted in his profile. His work shows deep integration with institutional research centers. He maintains active affiliations with the Statistical Sciences Research Institute (S3RI), Centre for Operational Research (CORMSIS), Southampton Marine and Maritime Institute, and Maritime Decarbonisation research groups.

• Power Systems
• Microgrids
• Renewable Energy Integration
• +7 more

Dr. Daming Zhang serves as a Senior Lecturer in the School of Electrical Engineering and Telecommunications at the University of New South Wales (UNSW), Faculty of Engineering. His academic career spans over two decades with continuous scholarly contributions to power systems engineering. Dr. Zhang's research focuses on power systems, microgrids, and renewable energy integration , with particular expertise in constant-frequency microgrid operation, DC-AC conversion technologies, and energy storage applications. His work addresses critical challenges in grid stability, power system protection, and the integration of high-penetration renewable energy sources. He has developed innovative approaches for microgrid regionalization, load flow analysis in islanded systems, and fault detection in photovoltaic systems. His publication record shows a clear evolution from fundamental electromagnetic studies to applied power systems research, with recent work emphasizing practical solutions for decarbonized power systems. The majority of his recent publications appear in high-impact IEEE journals and conferences, demonstrating the significance of his contributions to the field. His research increasingly incorporates advanced computational methods including machine learning for fault detection and optimization techniques for energy system planning. While no specific awards are listed in the available information, Dr. Zhang's extensive publication record in top-tier journals indicates recognition within the academic community. His collaborative work with researchers across multiple institutions demonstrates his active engagement in the international power engineering community. Dr. Zhang's research has practical implications for modern power systems transitioning toward renewable energy integration. His work on constant-frequency microgrids, energy storage applications, and grid-forming converters addresses critical challenges in maintaining stability as power systems incorporate higher levels of inverter-based resources. His recent focus on long-duration energy storage and zero-carbon electricity systems reflects the evolving priorities of the power industry toward decarbonization.

Stephen LeeView profile

Assistant Professor

• Computer Systems
• Cyber-Physical Systems
• Data Mining and Data Science
• +3 more

Stephen Lee is an Assistant Professor in the Department of Computer Science at the University of Pittsburgh, affiliated with Pitt Cyber. His research focuses on distributed systems, cyber-physical systems, and sustainability, emphasizing energy efficiency and cost optimization. Dr. Lee holds a PhD from the University of Massachusetts Amherst, a Master’s from Chennai Mathematical Institute, and a Bachelor’s from St. Stephen’s College, Delhi. He actively seeks students for his research group. Education: PhD, Computer Science, University of Massachusetts Amherst Master’s, Chennai Mathematical Institute Bachelor’s, St. Stephen’s College, Delhi Research Interests: Dr. Lee’s work integrates distributed systems, machine learning, and optimization to enhance sustainability. Key areas include IoT-enabled energy systems, emission-aware computing, and privacy-preserving frameworks. He leads projects like GreenWhisk (serverless emission reduction) and Sat2map (3D building modeling from satellite imagery). Recent Achievements: Best Paper Award in IEEE TPS 2024 DOE-funded Cyber Energy Center (2024) MCSI Seed Grant for Pitt building sustainability (2024) NSF Grant on sustainable distributed infrastructures (2023) Grants & Advising: Secured over $2M in grants, including NSF and DOE funding. Advises on energy-efficient systems and IoT security. Teaches CS 2510 (Operating Systems) and CS 1699 (Systems & Sustainability). Labs & Teams: Directs the Sustainable Systems Research Group, focusing on decarbonizing IT and optimizing renewable energy systems. Collaborates with industry partners on smart grid solutions and edge-cloud systems.

Bogdan IancuView profile

Lecturer

• Artificial Intelligence
• Computer Vision
• Maritime Object Detection
• +5 more

Bogdan Iancu is a University Lecturer in the Department of Information Technology at the Faculty of Science and Engineering, Åbo Akademi University. He holds a PhD and Docent qualification in Computer Science, with extensive expertise in artificial intelligence and computer vision applications, particularly in the maritime domain. His academic career spans numerous research projects and publications that bridge theoretical AI concepts with practical industry applications. Dr. Iancu's research focuses on AI applications in maritime technology, with special emphasis on object detection systems, security challenges in AI models, and sustainable technological solutions. He has developed benchmark datasets like ABOships and ABOships-PLUS that have become valuable resources for researchers in maritime computer vision. His work addresses critical challenges including adversarial attacks on object detection systems, as evidenced by his 2025 publication on TOG Adversarial Attacks in YOLO Models. The analysis of his recent publications reveals a clear progression from foundational dataset creation to advanced security analysis and neurosymbolic approaches that combine neural networks with symbolic reasoning. His research shows increasing sophistication in addressing real-world challenges in maritime AI systems, with particular attention to robustness, security, and practical implementation. Dr. Iancu actively participates in numerous research projects including EDISS (Engineering of Data-intensive Intelligent Software Systems), SMARTER (Sea4Value Smart Terminals), and DECATRIP (Decarbonizing Transport Corridors). These projects involve collaboration with industry partners across Finland and Europe, focusing on applying AI to solve real-world challenges in maritime transport, digitalization, and sustainability. He has contributed to the academic community through teaching courses in Artificial Intelligence, Data Science, and Graph Algorithms, and through active participation in the Finnish Artificial Intelligence Society. His work aligns with UN Sustainable Development Goals, particularly those related to industry innovation, infrastructure, and climate action through projects like DECATRIP that focus on decarbonizing transport corridors.

Daniel P. SchragView profile

Professor

• Climate Change
• Earth History
• Energy Technology
• +7 more

Daniel P. Schrag is the Sturgis Hooper Professor of Geology and Professor of Environmental Science and Engineering at Harvard University, serving as Director of the Harvard University Center for the Environment. He also co-directs the Program on Science, Technology, and Public Policy at Harvard’s Kennedy School Belfer Center for Science and International Affairs. His academic foundation includes a B.S. in geology and geophysics and political science from Yale University, followed by a Ph.D. in geology from the University of California, Berkeley in 1993. After teaching at Princeton University, he joined Harvard in 1997. Schrag’s research spans Earth’s entire climate history, specializing in extracting insights from geological records to forecast anthropogenic climate change. His work integrates geochemical oceanography, paleoclimatology, and stable isotope geochemistry with energy technology and policy analysis. Key investigations focus on carbon capture, low-carbon fuels, and the geochemical signatures of ancient climate shifts. His recent publications reveal an intensifying focus on climate policy mechanisms, particularly border carbon adjustments and climate finance frameworks that bridge international equity gaps. His scholarly contributions are recognized through prestigious awards including the MacArthur Fellowship (2000), the American Geophysical Union’s James B. Macelwane Medal, membership in the American Academy of Arts and Sciences, and designation as a Technology Review Young Innovator (1999). MacArthur Fellowship (2000) James B. Macelwane Medal (American Geophysical Union) American Academy of Arts and Sciences Member AAAS Fellow Technology Review 100 Young Innovators (1999) Schrag significantly influenced national policy through eight years on President Obama’s Council of Advisors on Science and Technology (PCAST), shaping reports on energy, climate, and STEM education. He co-founded the Potential Energy Coalition to deploy marketing expertise in climate risk communication and leads the Harvard-based Schrag Group, which explores interdisciplinary solutions at the climate-energy nexus through fieldwork, modeling, and policy analysis.

Xingpeng LiView profile

Associate Professor

• Power Systems
• Machine Learning
• Renewable Energy Integration
• +5 more

Dr. Xingpeng Li is an Associate Professor in the Department of Electrical & Computer Engineering at the University of Houston (UH), where he has held this position since 2024, following his tenure as Assistant Professor (2018–2024). His research focuses on smart grid technologies, renewable energy integration, and optimization of power systems. He holds a Ph.D. in Electrical Engineering from Arizona State University (2017) and multiple master’s degrees in Computer Science (Georgia Tech, 2023), Industrial Engineering (ASU, 2016), and Electrical Engineering (Zhejiang University, 2013). His work emphasizes machine learning applications in power systems, including battery degradation modeling, microgrid design, and climate-resilient grid planning. He leads the RPG Lab (https://rpglab.github.io), advancing solutions for offshore renewable energy systems, hydrogen transmission, and grid cybersecurity. His research has been funded by the NSF CAREER Award (2024) and the NAS Gulf Research Program (2023). Education : Ph.D., Electrical Engineering, Arizona State University (2017) M.S., Computer Science, Georgia Institute of Technology (2023) M.S., Industrial Engineering, Arizona State University (2016) M.S., Electrical Engineering, Zhejiang University (2013) B.S., Electrical Engineering, Shandong University (2010) Dr. Li’s recent publications highlight advancements in AI-driven grid optimization, battery lifecycle modeling, and offshore microgrid planning. He has received awards such as the Early-Career Research Follow (NAS Gulf, 2023) and the IEEE Phoenix Section Student Scholarship (2016). Awards : NSF CAREER Award (2024) Early-Career Research Follow, NAS Gulf Research Program (2023) Emerging Leader, Offshore Technology Conference (2023) His teaching includes courses like ECE 6327 (Smart Grid Systems) and ECE 6379 (Power System Operations), bridging theoretical research with practical grid challenges. His lab collaborates on projects like 100% renewable offshore platforms and hydrogen energy transmission systems, addressing climate resilience and decarbonization goals.

Emily T. YehView profile

Professor

• Political ecology
• Cultural geography
• Development studies
• +6 more

Emily T. Yeh serves as Professor of Geography at the University of Colorado within the College of Arts and Sciences, holding Faculty Affiliate status with the Center for Asian Studies, CNAIS, and C3BC. A 2024 Guggenheim Fellow and past-president of the American Association of Geographers (2021-2022), she is recognized as a College of Arts and Sciences Professor of Distinction for her transformative work in human geography. Her educational foundation includes a Ph.D. from the University of California, Berkeley (2003), establishing her scholarly trajectory in critical geographical inquiry. Professor Yeh's research interrogates power dynamics within nature-society relationships through ethnographic methodologies , with seminal contributions to political ecology and cultural geography . Her work centers on Tibetan Plateau environmental transformations, examining natural resource conflicts, pastoralist livelihoods, and state-led development. Recent expansions address weather modification in anthropogenic climate contexts and decarbonization politics in Indonesia, revealing her evolving engagement with planetary-scale environmental challenges. This trajectory demonstrates consistent methodological rigor while adapting to emergent global ecological crises. Analysis of her 15 most recent publications reveals a decisive pivot toward climate intervention technologies and energy transition justice since 2022, while maintaining deep regional expertise in Asian contexts. The geographical scope has broadened from Tibet/China to include Indonesia, reflecting growing attention to Global South climate politics. Her scientific recognition includes: Guggenheim Fellowship (2024) Phi Beta Kappa Visiting Scholar (2023-2024) Professor Yeh actively mentors graduate researchers including Drolma Gadou, Tsering Lhamo, Emma Loizeaux, and Tenzin Yangkey. Her research program is substantially supported by National Science Foundation funding for interdisciplinary projects on Tibetan Plateau rangeland dynamics and climate vulnerability, alongside her foundational CAREER award for transnational environmentalism research. Current work integrates capoeira philosophy with environmental justice frameworks, reflecting embodied scholarly practice. She contributes to interdisciplinary knowledge production through the Center for Asian Studies and C3BC, fostering collaborative approaches to environmental challenges that bridge geographical scales from local Tibetan communities to global climate governance structures.

Fabiano PallonettoView profile

Professor

• Smart Grids
• Sustainable Mobility
• Energy Systems Optimization
• +3 more

Fabiano Pallonetto is a Professor at Maynooth University's School of Business, with affiliations to the Hamilton Institute and Innovation Value Institute (IVI). He combines academic research with industry experience in energy, IT, and transport sectors. Role: Professor Location: Room 314, Maynooth University Contact: Fabiano.Pallonetto@mu.ie His research focuses on smart grid integration, energy system optimization, and sustainable development. Key projects include: NexSys (Funded Investigator): Developing net-zero energy pathways FLOW (Principal Investigator): Flexible EV-grid integration RES4CITY (Coordinator): Workforce upskilling for renewables Recent publications analyze energy flexibility software, deep learning optimization models, phase change materials for thermal storage, and blockchain security frameworks. His work spans smart cities , renewable integration , and AI-driven energy systems . Student Supervision: Currently advising MR B. Mohseni-Gharyehsafa (PhD research).

Fatih NayebiView profile

Lecturer

• Information Systems
• Data Science
• Machine Learning
• +5 more

Dr. Fatih Nayebi is a Faculty Lecturer in Information Systems at McGill University while also serving as Vice President of Data & AI at the ALDO Group. He bridges academic research with enterprise innovation, focusing on data science, machine learning, and AI systems. Academic Background: Ph.D. in Computer Engineering from École de technologie supérieure M.Sc. in Software Engineering from Boğaziçi University B.Sc. in Computer Engineering from Boğaziçi University Dr. Nayebi's research interests include: Information Systems Data Science Machine Learning Engineering & MLOps Deep Learning Agentic AI Human-Computer Interaction AI in Retail His recent publications focus on AI for retail, mathematical foundations of AI, information integrity in democratic systems, and best practices for technical documentation. Dr. Nayebi also teaches graduate courses at McGill University including: Enterprise Data Science Machine Learning in Production Introduction to AI and Deep Learning Applications and Architectures of Deep Learning Designing and Developing Agentic AI Systems As an active speaker and thought leader, Dr. Nayebi has participated in events such as: World Summit AI Americas RETHINK Retail NRF Nexus 2025 Supply Chain Research Forum JOPT2025 - Annual Conference of Optimization Days He is also the founder of Gradient Divergence, an advisory studio focused on advanced AI solutions for retail and consumer brands.

Daniel P. SchragView profile

Professor

• Geochemical oceanography
• Stable isotope geochemistry
• Paleoclimatology
• +5 more

Daniel P. Schrag is the Sturgis Hooper Professor of Geology, Professor of Environmental Science and Engineering, and Professor of Public Policy at Harvard University. His primary affiliation is with the Department of Earth and Planetary Sciences in the Faculty of Arts and Sciences, with additional roles in the John A. Paulson School of Engineering & Applied Sciences and the Harvard Kennedy School, where he co-directs the Program on Science, Technology, and Public Policy at the Belfer Center. Harvard University Center for the Environment Department of Earth & Planetary Sciences John A. Paulson School of Engineering & Applied Sciences Harvard Kennedy School (Belfer Center) His research spans Geochemical Oceanography , Stable Isotope Geochemistry , and Paleoclimatology , with a focus on understanding historical climate patterns, carbon cycle dynamics, and ocean temperature reconstructions. His work also addresses modern challenges like Climate Change , Carbon Sequestration , and Energy Technology , integrating scientific and policy-oriented approaches. Recent publications highlight his interdisciplinary work, including Border Carbon Adjustments for climate finance, Direct Air Capture Technologies , and analyses of Millennial-Scale Sea Level Changes . He explores Geoengineering , Climate Policy Economics , and Isotopic Records of Earth's history. Daniel P. Schrag's work bridges Earth Science and Policy Design , emphasizing actionable solutions to energy and climate challenges. He leads initiatives connecting academia to global policy frameworks, ensuring scientific rigor informs practical mitigation strategies.

Lu XingView profile

Associate Professor

• Energy System Modeling
• Sustainable Energy Storage
• Artificial Intelligence in Green Energy
• +4 more

Lu Xing is an Associate Professor in the Mechanical and Construction Engineering Department at Northumbria University. His research focuses on energy system modeling, sustainable energy storage, and AI-driven green energy solutions. He holds a PhD in Mechanical and Aerospace Engineering from Oklahoma State University, alongside master's and bachelor's degrees in related disciplines. Key roles include Principal Investigator for over £14 million in research projects funded by UK EPSRC, Innovate UK, and energy companies. He co-founded Continuous Power as Chief Scientist and advised the ICURe Programme. His work addresses UN Sustainable Development Goals, particularly energy transition and environmental sustainability. Research interests span PEM fuel cells, hydrogen integration, battery systems, and AI applications in energy optimization. He has published 70+ papers in top journals/conferences and delivered keynote speeches at events like the 29th CSCST-SCI Conference. He chairs sessions at international conferences such as EcoMat 2024. Current projects include optimizing building multi-energy systems with green hydrogen, improving fuel cell performance through novel cooling designs, and developing fault diagnosis models for HVAC systems using machine learning. Advising: Accepting PhD students for projects in energy system modeling, AI for green energy, and sustainable materials. Over 20 research projects demonstrate expertise in cross-sector collaboration (academia, industry, government). Labs/Teams: Leads Northumbria's Energy Systems Research Group, collaborating internationally on projects funded by the US Department of Energy and Oak Ridge National Laboratory.