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Stefan Schaltegger is Professor for Sustainability Management at the Centre for Sustainability Management (CSM) at Leuphana University Lüneburg. With over two decades of research experience, he is a globally recognized scholar in sustainability management, corporate sustainability, and environmental accounting. His work bridges academic research with practical business applications, influencing sustainability practices across multiple industries. Professor for Sustainability Management at Leuphana University Lüneburg Director of the Centre for Sustainability Management (CSM) Extensive publication record in top sustainability journals Regular contributor to policy discussions on sustainability Professor Schaltegger's research focuses on sustainability management systems, corporate sustainability strategy, environmental accounting, sustainable business models, and sustainability transitions. His work examines how organizations can effectively integrate sustainability into core operations, emphasizing stakeholder engagement, sustainability performance measurement, and the development of compelling business cases for sustainability. He has pioneered research on sustainability management accounting, rebound effects in sustainability initiatives, and the role of change agents in corporate sustainability transformations. His research spans both theoretical development and practical application, making significant contributions to how businesses understand and implement sustainability. His recent publications reveal an evolving research trajectory with increasing focus on systemic sustainability challenges. Schaltegger has shifted from foundational work on sustainability management accounting toward more complex issues like environmental rebound effects, sustainability transformations, and regenerative business practices. His 2023-2025 publications show growing attention to climate change responses, biodiversity conservation, and the role of service innovation in sustainability transformations. The interdisciplinary nature of his work is evident in publications spanning business strategy, environmental science, accounting, and policy journals. Ranked among the world's top 2% scientists in the Stanford study (2020) Best Young Researcher of the Year at Leuphana University Lüneburg (2010) IFAC PAIB Committee Research award for "article of merit" (2003) Professor Schaltegger actively mentors doctoral students and early-career researchers, though specific student names aren't listed in the provided materials. His research is supported by numerous projects including "TrICo Subproject: Community Sustainable Production," "Account4GreenEco," and "Hochschulen in Gesellschaft – Realexperimente transformativer Lern- und Forschungsprozesse für eine Kultur der Nachhaltigkeit an Hochschulen." His work demonstrates strong industry engagement through collaborations with businesses implementing sustainability practices. The Centre for Sustainability Management (CSM), which Schaltegger leads, serves as a hub for interdisciplinary sustainability research, education, and practice. The CSM coordinates multiple research projects including the Innovation Network aiming at Sustainable Smartphones (INaS) and works closely with industry partners to develop practical sustainability solutions. The center's activities span research, education, and transfer, reflecting Schaltegger's commitment to bridging the gap between academic theory and business practice in sustainability.

• Sustainability Management
• Corporate Sustainability
• Environmental Accounting
• +5 more

Susana Mourato is Professor of Environmental Economics at the Department of Geography and Environment at the London School of Economics and Political Science (LSE). She joined LSE in 2008 after ten years at Imperial College London. In 2021, she became the Vice President and Pro-Vice Chancellor (Research) at LSE. She also holds positions as Visiting Reader at Imperial College London and Honorary Senior Fellow at CSERGE (University of East Anglia). Professor Mourato is an expert in environmental economics and the application of economic valuation techniques to measure environmental change and social value. Professor Mourato's research focuses on valuing natural wealth and creating markets for ecosystem services, perceptions and preferences for low-carbon energy technologies, environmental valuation methods and applications, and the relationship between life satisfaction and the environment. Her work spans the fields of environmental economics, wellbeing economics, and behavioral environmental economics. She has conducted extensive research on ecosystem services, wildlife conservation, air and water pollution, chemicals, climate change, low carbon technologies, and cultural heritage, testing and applying economic valuation techniques to these diverse areas. Her recent publications show a strong trend toward integrating behavioral economics with traditional environmental valuation techniques. She has published extensively on the links between subjective wellbeing and environmental quality, as well as the application of economic valuation methods to inform environmental policy. Her work often involves interdisciplinary collaborations across economics, ecology, and social sciences, with significant policy impact through government advisory roles and international organizations. Member of Culture & Heritage Capital Advisory Board (UK Department for Digital, Culture, Media & Sport) Associate of the Grantham Research Institute on Climate Change and the Environment Former Academic Director of LSE Summer School Former Head of Department (2017-2020) Professor Mourato has worked on more than 45 research projects and consultancies for research councils, government, industry, charities, and international organizations. She currently leads projects for the OECD evaluating the impact of chemicals on IQ, for LSE Middle East Centre estimating preferences for climate change policies in the Gulf Region, and for water conservation in Kuwait. Her research has informed policy development in multiple countries and international contexts.

• Environmental Economics
• Environmental Valuation
• Ecosystem Services
• +5 more

Sujan Pal is a Hydroclimate Scientist at Argonne National Laboratory , focusing on hydrometeorology, hydroclimatology, and land-atmosphere interactions through numerical modeling and field experiments. He serves as an associate mentor for multiple observational systems in the Atmospheric Radiation Measurement (ARM) user facility and monitors environmental data at Argonne Testbed for Multiscale Observational Science (ATMOS). Ph.D., University of Illinois at Urbana-Champaign (2017-2021) M.S., The University of Arizona (2015-2017) B.E., Jadavpur University (2010-2014) His research spans hydrometeorological modeling, urban climate impacts, and machine learning applications in environmental science. He leads high-resolution flood simulations and contributes to the DOE-funded CROCUS project studying urban climate change in Chicago. Recent publications highlight his work on convection-permitting climate modeling, extreme rainfall dynamics, and flood risk assessment across South America, the U.S. Northeast, and Argentina. His methodologies integrate field data with advanced computational tools. ARM Service Award 2025 Argonne Commercialization Excellence Award 2024 Argonne IMPACT Awards (2024, 2023, 2022) He actively collaborates with national user facilities and contributes to spatiotemporal modeling of water-related hazards as an Associate Editor for Frontiers in Water .

• Hydrometeorology
• Hydroclimatology
• Land-Atmosphere Interactions
• +4 more

N. Rich Nguyen is an Assistant Professor in the Department of Computer Science at the University of Virginia (UVA), where he joined in August 2018. He's part of the School of Engineering and Applied Science and is on a teaching track , focusing on making machine learning accessible and engaging for all students. Research and Innovation: Rich Nguyen's research interests include biomedical image analysis , machine learning , and computer science education . He aims to reinvent instructional activities to make them adaptive and engaging by incorporating art and music elements to help everyone learn coding. Notable research contributions include: Floodwatch : A system for flood monitoring using crowdsourced images TuneScope : A digital music creation tool combining SoundScope and Snaps! technology CAD Library : Open-source design tools for educators AI for early sepsis detection : Highlighted in UVA Today Teaching Accomplishments: Before UVA, Rich taught computer science courses at UNC Charlotte for four years to a total of 1,458 students. At UVA, he teaches several courses including: CS 4774: Machine Learning (multiple semesters) CS 2501: Machine Learning for All (launched in Fall 2021) SYS 6016 / SDS 6050: Deep Learning CS 2150: Data and Program Representation (multiple semesters) CS 6316: Machine Learning (Graduate Level) CS 2910: CS Education Practicum (for Teaching Assistants) He previously taught at UNC Charlotte: ITCS 1600: Computing Professionals ITCS 2600: Computing Professionals for Transfer Students ITCS 4156: Introduction to Machine Learning ITCS 2215: Design and Analysis of Algorithms Academic Achievements: Rich Nguyen has received several notable awards and grants: Google Faculty Award for Machine Learning Education with TensorFlow (2019) Best Paper Award at IEEE BigDataSE (2022) Best Poster Award at SITE Conference (2022) CCI Faculty Innovation Award (2018) NSF grants for Smart and Connected Communities (2022) and Computational Thinking (2021) 3 Cavaliers Grant on Coding and Music (2021) Student Mentorship: Rich has mentored numerous students and teaching assistants who have achieved recognition. Notable students include: Joy Qiu - Published in Clinical Infectious Diseases Louisa Edwards and Zach Boner - Invited to Ken Ono Podcast Mike Ferguson - Winner of CS Louis T. Rader Undergraduate Teaching Award He has also served as faculty advisor for HooHacks (UVA's hackathon) and co-founded CharlotteHack at UNC Charlotte. Labs and Collaborations: Rich Nguyen leads the ML4VA (Machine Learning for Virginia) initiative, engaging students in project-based learning to apply machine learning to real-world problems affecting Virginia communities. He collaborates with institutions for symposiums on smart cities, particularly with ASEAN universities, and has partnered with Premier Healthcare for hackathons and with Glen Bull on educational technology projects.

• Biomedical Image Analysis
• Machine Learning
• Computer Science Education
• +3 more

Nick Abel is an Honorary Associate Professor at the Fenner School of Environment & Society, Australian National University. With a distinguished international career spanning Africa and Australia, he has worked in Zimbabwe, Kenya, Ethiopia, Botswana, Somalia, Swaziland, Zambia, and Australia. His academic credentials include a Ph.D., M.Sc., and B.Sc.(Hons.), reflecting a strong foundation in environmental sciences and complex systems thinking. Abel's research program centers on the critical challenge of human adaptation to climate change, with particular focus on why adaptation efforts are insufficient to prevent environmental and social tipping points. He critically examines Australia's role as the world's third largest exporter of fossil fuels while facing escalating climate impacts, investigating how fossil fuel companies have maintained influence over public policy. His work integrates social-ecological systems theory, resilience thinking, and practical governance frameworks to address climate adaptation challenges. His publication record demonstrates a clear evolution from foundational work in rangeland management and complex adaptive systems toward urgent climate policy interventions. Early research established theoretical frameworks for understanding resilience in dryland ecosystems, while recent work focuses on transformation pathways, Indigenous engagement, and community-based adaptation strategies. A consistent thread throughout his career is the integration of diverse knowledge systems and the development of practical approaches for environmental governance in rapidly changing conditions. Abel has registered to supervise research students at ANU and participates in significant collaborative projects, including the current 'Partnering with local communities in regional Australia to increase resilience to flood events' (2022-2025). His high-impact publications, including the highly cited 'Resilience management in social-ecological systems' (1,120 Scopus citations) and 'From Metaphor to Measurement: Resilience of What to What?' (2,596 Scopus citations), demonstrate his foundational contributions to the field. Through his work with various research groups and projects, Abel has helped establish frameworks for understanding social-ecological systems and climate adaptation. His contributions to the Fenner School include advancing methodologies for integrating scientific and Indigenous knowledge systems, developing practical approaches to environmental governance, and critically examining the political economy of climate policy in Australia.

• Climate Change
• Social-Ecological Systems
• Rangeland Management
• +4 more

Michael Lepech is a Professor of Civil and Environmental Engineering and Senior Fellow at the Woods Institute for the Environment at Stanford University. His research focuses on integrating sustainability into civil engineering through quantitative assessment and multi-scale modeling, particularly via the Sustainable Integrated Materials, Structures, Systems (SIMSS) framework. He also leads the Stanford Center at the Incheon Global Campus (SCIGC) in South Korea, exploring smart city technologies for urban sustainability. Education : PhD in Civil and Environmental Engineering (2006), MBA in Finance and Strategy (2008) from the University of Michigan. Research Areas : Sustainable infrastructure design, biopolymer composites, life cycle assessment, digital twinning, smart city technologies, and multi-physics deterioration modeling. Leadership : Director of SCIGC, advancing research on smart and sustainable urban environments in Songdo, South Korea. His recent publications focus on biopolymer-bound composites, traffic signal optimization, and life cycle sustainability analysis. He has received recognition as a Senior Fellow at Stanford’s Woods Institute for environmental research.

• Sustainable Infrastructure Design
• Civil Engineering
• Environmental Engineering
• +4 more

Hamsa Bastani is an Associate Professor of Operations, Information and Decisions at the Wharton School, University of Pennsylvania, with a secondary appointment in Statistics and Data Science. She co-directs the Wharton Healthcare Analytics Lab and serves as an Associate Editor for Operations Research, M&SOM and OR Letters. Her academic journey began with summa cum laude graduation from Harvard in 2012 with an A.M. in physics and A.B. in physics and mathematics. She completed her PhD in Stanford's Electrical Engineering department under Mohsen Bayati, followed by a Herman Goldstine postdoctoral fellowship at IBM Research. Professor Bastani's research focuses on developing novel machine learning algorithms for data-driven decision-making, with applications spanning healthcare operations, social good, and revenue management. Her work demonstrates particular expertise in sequential decision-making (bandits, reinforcement learning), learning from auxiliary data sources (transfer learning, meta-learning), and designing effective human-AI interfaces (interpretability, fairness). She has made significant contributions to understanding how AI systems affect and augment human behavior, with the goal of designing AI tools that help humans thrive. Her publications reveal a strong trend toward high-impact applications of machine learning in critical societal domains. A significant portion of her recent work focuses on healthcare applications, including optimizing health supply chains in low- and middle-income countries, designing clinical trial protocols, and creating targeted public health interventions. Another major theme examines the complex relationship between humans and AI systems, particularly how AI affects learning outcomes and decision-making processes. Her work frequently bridges theoretical advances with practical implementation, as evidenced by country-scale deployments in Greece and Sierra Leone. Wagner Prize for Excellence in Operations Research Practice (2021) Pierskalla Award for Best Paper in Healthcare (2021, 2019, 2016) Behavioral OM Best Paper Award (2021) Public Sector in OR Best Paper Award (2024) INFORMS Data Mining Best Paper Award (2022) Wharton Teaching Excellence Award (2019, 2020, 2021) Professor Bastani has advised numerous PhD students who have gone on to prominent positions, including Pia Ramchandani (Director of Responsible AI at PwC), Arielle Anderer (Assistant Professor at Cornell Johnson), and Kan Xu (Assistant Professor at ASU Carey). Her research has been supported by collaborations with national governments, including the Greek government where she co-designed Eva, the national-scale reinforcement learning system for targeted COVID-19 testing, and the Government of Sierra Leone where she improved patient access to essential medicines by nearly 20% via decision-aware learning. She has also conducted the first large field study deploying generative AI tutors in high school math classes. She leads the Wharton Healthcare Analytics Lab and serves on the Steering Committee for the Penn Center for Health Incentives and Behavioral Economics and on the statistics advisory committee for the AHA Food is Medicine Initiative. Outside academia, she serves on the Workday AI Advisory Board, demonstrating her commitment to translating academic research into practical applications.

• Machine Learning
• Artificial Intelligence
• Healthcare Operations
• +5 more

Dr. Stephanie Spahr is a Research Group Leader at the Leibniz Institute of Freshwater Ecology and Inland Fisheries (IGB) in Berlin, Germany, where she leads the Organic Contaminants research group within the Department of Ecohydrology and Biogeochemistry. Previously, she served as a Junior Research Group Leader at the University of Tübingen's Center for Applied Geoscience (2019-2021) and as a Postdoctoral Researcher at Stanford University's Department of Civil and Environmental Engineering (2016-2019). Dr. Spahr earned her PhD in Environmental Chemistry from the Swiss Federal Institute of Technology Lausanne (EPFL) and the Swiss Federal Institute of Aquatic Science and Technology (Eawag) in 2016. Her doctoral research focused on the formation of N-nitrosodimethylamine during water disinfection with chloramine. She completed her MSc in Geoecology at the University of Tübingen in 2012, with thesis work on carbon and nitrogen isotope analysis of benzotriazoles conducted at Eawag, and her BSc in Geoecology/Ecosystem Management at the same institution in 2010. Dr. Spahr's research focuses on trace organic contaminants in aquatic systems, with particular expertise in transformation processes of contaminants in natural and engineered systems, advanced oxidation processes for water treatment, urban blue-green infrastructure, and compound-specific isotope analysis. Her work bridges environmental chemistry, engineering, and ecology to address water quality challenges in urban and natural water systems. She employs advanced analytical techniques to track contaminant sources and transformation pathways, with a strong emphasis on practical applications for water treatment and environmental protection. Her recent publications demonstrate a strong focus on biochar-based water treatment technologies, particularly for stormwater management. She investigates how biochar amendments can remove trace organic contaminants from urban runoff, with recent work examining persulfate activation mechanisms, the role of chloride in reactive species formation, and the performance of engineered media filters under dynamic conditions. Her research also extends to understanding contaminant transport in rivers, the ecological impacts of pollutants, and developing analytical methods for environmental monitoring. The interdisciplinary nature of her work connects chemical processes with ecological outcomes. Outstanding Review Paper Award 2023 in Environmental Science: Water Research & Technology Selected for the Falling Walls Female Science Talents Intensive Track 2023 Selected mentee in the Leibniz Mentoring Programme 2022-2023 Best poster award (1st prize) at the Wasser 2022 of the Water Chemistry Society Selected fellow in the Postdoc Academy for Transformational Leadership 2020-2022 (Robert Bosch Stiftung) Selected fellow in the Athene Program for early female career researchers at the University of Tübingen, 2020-2021 As a Research Group Leader, Dr. Spahr supervises multiple research projects including 'POllution in UrbaN ponds, eco-evolutionary Dynamics, and Ecosystem Resilience (POUNDER)', 'Dynamic hyporheic zone', 'NYMPHE', and the 'Incident-related special investigation programme for the environmental disaster in the Oder River'. She serves on the Executive Board of the German Water Chemistry Society and heads its Expert Committee on 'Oxidative Processes'. Her collaborative work spans numerous institutions across Germany and internationally, addressing critical water quality challenges through interdisciplinary approaches. Dr. Spahr leads the Organic Contaminants research group at IGB Berlin, which focuses on understanding the fate and treatment of organic pollutants in water systems. Her team employs advanced analytical techniques including compound-specific isotope analysis to track contaminant sources and transformation pathways. The group collaborates extensively with other departments at IGB and with international partners on projects addressing urban water challenges and ecological impacts of pollution. Current research emphasizes innovative water treatment technologies, particularly biochar-based systems for stormwater management, and investigating the complex interactions between contaminants, aquatic ecosystems, and human activities.

• Environmental Chemistry
• Water Quality
• Contaminant Hydrology
• +7 more

Ashley Cordes (Coquille/KōKwel) serves as an Assistant Professor of Indigenous Media in Environmental Studies and Data Science at the University of Oregon's College of Arts and Sciences. She is also a recent American Council of Learned Societies Fellow whose research bridges Indigenous science and technology studies, digital media, and environmental/place-based studies. Her educational background includes a PhD in Media Studies with an outside area in Native American Studies from the University of Oregon (2019), an MA in Communication from Hawaii Pacific University (2012), and a BA in Communication with a Journalism Certificate from Loyola Marymount University (2010). Cordes' research centers on how Indigenous culture and technology producers leverage digital media, emerging technologies, and discourse to advance Tribal sovereignty, cultural revitalization, and the resurgence of Indigenous knowledge systems. Her work specifically examines AI, blockchain, and cryptocurrency through Indigenous epistemologies, challenging dominant narratives about technological progress and financial systems. She has published in journals such as Cultural Studies >Critical Methodologies , Journal of International and Intercultural Communication , and Feminist Media Studies , and is the author of Indigenous Currencies: Leaving Some for the Rest in the Digital Age (MIT Press). Her recent publications reveal a consistent focus on decolonial approaches to technology, with particular attention to Indigenous data sovereignty, environmental justice, and alternative economic systems. The trajectory of her work shows increasing engagement with AI ethics from Indigenous perspectives, culminating in her contributions to the Indigenous Protocol and Artificial Intelligence position paper. American Council of Learned Societies Fellow Contributor to Indigenous Protocols and Artificial Intelligence Working Group Cordes actively mentors doctoral students in Indigenous digital media and participates in multiple research collectives including Abundant Intelligences, CHoRUS Network (focusing on ethical data gathering in Indigenous contexts), Indigenous Protocols and Artificial Intelligence, and the Climate Resilience Taskforce. Her community-engaged work includes the Storying on the Coquille River project, which addresses climate change impacts on salmon populations through digital humanities approaches. She maintains strong connections to her Coquille Nation community, serving on the Climate Resilience Taskforce and as Chair of the Culture and Education Committee, ensuring her academic work remains grounded in community needs and Indigenous knowledge systems.

• Media Studies
• Indigenous Science and Technology Studies
• Artificial Intelligence
• +7 more

Magnus Liebherr is a Professor at the University of Duisburg-Essen , focusing on Technology Acceptance , Artificial Intelligence , and Sustainable Transportation . His work bridges Business Administration with Human-Computer Interaction , exploring how users adapt to emerging technologies like autonomous vehicles and AI systems. Key research areas include: Acceptance of AI applications in mobility Business model development for climate-neutral transportation Cognitive and psychological factors in technology interaction Digital media effects on adolescent well-being Trust calibration in automated systems His recent publications examine Large Language Model dependency , gamified language learning , and mental workload metrics for autonomous vehicles. While no formal awards are listed, his interdisciplinary work spans psychology , engineering , and business strategy .

• Technology Acceptance
• Artificial Intelligence
• Sustainable Transportation
• +4 more

Cathy Wu is an Associate Professor at MIT, with affiliations in the Laboratory for Information and Decision Systems (LIDS), Department of Civil and Environmental Engineering (CEE), and Institute for Data, Systems, and Society (IDSS). Her research group focuses on integrating machine learning with model-based optimization to solve complex problems in transportation systems and cyber-physical systems. Academic Leadership: Class of 1954 Career Development Associate Professor (MIT) Research Grants: NSF CAREER Award, Amazon Robotics, Mathworks, MIT Mobility Initiative, US DOT, Microsoft Research, Cintra, Symbotic Research Interests : Wu's work bridges AI and engineering challenges in transportation. Key areas include: Hybrid ML/Model-based Optimization (large neighborhood search, branch-and-cut) Sustainable Mobility (Project Greenwave, eco-driving) Multi-Agent Coordination (warehouse automation, cooperative driving) Cyber-Professional Systems (generalization in RL, transfer learning) Recent work demonstrates significant advances in eco-driving (11-22% emissions reduction), large-scale multi-agent path finding (1000+ agents), and foundational RL methods for traffic control. Her group has produced 15+ major publications since 2015, with notable media coverage in Science, Wired, and NewScientist. Selected Scientific Awards NSF CAREER Award (2023) Ole Madsen Mentoring Award (2025) IEEE ITSS WiE/YP Fellowship (2024) Harold L. Hazen Teaching Award (2022) Her lab has advised 12+ graduate students and postdocs, including: Vindula Jayawardana (PhD '24, now at Anthropic) Sirui Li (PhD '25, now at Microsoft Research) Yining Ma (Postdoc, active researcher) Zhongxia Yan (PhD '24, now at Anthropic)

• Reinforcement Learning
• Transportation Systems
• Optimization and Control
• +3 more

André Bardow is a Full Professor at the Department of Mechanical and Process Engineering, ETH Zürich. His research focuses on energy systems optimization, life cycle assessment, computer-aided molecular design, and CO2 capture/utilization. Professor (ETH Zürich, 2020–present) Head of Institute of Technical Thermodynamics (RWTH Aachen University, 2010–2020) Visiting Professor (University of California, Santa Barbara, 2015/16) Part-time Director (Forschungszentrum Jülich, 2017–2022) Associate Professor (TU Delft, 2007–2010) Research Interests: His work spans energy and process systems engineering, with emphasis on sustainable technologies. Key areas include: Computer-aided molecular and process design Machine learning for chemical engineering Carbon capture and utilization (CCU) Life cycle assessment (LCA) of industrial processes Thermo-economic modeling of energy systems Multiphase equilibrium analysis Publication Trends: Recent articles focus on integrating machine learning with process design, optimizing CO2 capture in steel production, and advancing electrochemical cooling technologies. Subfields include sustainable plastics, ORC working fluids, and solvent mixture design. Scientific Awards: Fellow of the Royal Chemical Society Recent Innovative Contribution Award (EFCE, 2019) PSE Model-Based Innovation Prize (2018) Covestro Science Award (first recipient) Arnold-Eucken-Award (VDI-GVC) Highly Cited Researcher (Clarivate, 2024) Advising and Grants: Professor Bardow mentors students in process optimization and leads projects like Systemic expansion of territorial CIRCULAR Ecosystems for end-of-life FOAM (Grant 101036854, EC).

• Energy systems optimization
• Conceptual process design
• Life cycle assessment
• +7 more

Jessica Ostrow Michel is a Lecturer and Postdoctoral Research Fellow at the University of Michigan's School for Environment and Sustainability (SEAS), collaborating with Dr. Michaela Zint on the project Innovative Pedagogies for Cultivating Leadership Amidst the Climate Change Crisis . Her research focuses on sustainability and environmental justice education in higher education contexts. Doctor of Education , Teachers College, Columbia University Master of Education , Teachers College, Columbia University Master of Arts , Higher and Postsecondary Education, Teachers College, Columbia University Bachelor of Arts , Interpersonal/Intercultural Communication and Spanish, SUNY New Paltz Micel’s research explores interdisciplinary pedagogies, curriculum integration, and leadership development in sustainability education. She investigates how institutional frameworks and student engagement influence environmental literacy and justice outcomes, with publications in Sustainability Science , Sustainability , and Environmental Education Research . Her recent publications include analyses of sustainability leadership competencies, curriculum mapping, and student learning outcomes. Collaborative work spans institutions like Teachers College, Columbia University, and SUNY New Paltz, addressing systemic integration of sustainability practices in graduate and undergraduate programs. Michel’s work bridges educational theory with climate action strategies, emphasizing the role of higher education in fostering environmentally conscious leadership and equity-centered pedagogies.

• Sustainability Education
• Environmental Justice
• Higher Education Pedagogy
• +3 more

Yang Song is an ARC Future Fellow and Scientia Associate Professor at the School of Computer Science and Engineering , University of New South Wales (UNSW) . She serves as Associate Head of School (Research) and Co-Director of iCinema , focusing on AI and Computer Vision applications for social good. Education: BEng in Computer Engineering (Nanyang Technological University, Singapore), PhD in Computer Science (UNSW, 2013) Research Areas: Biomedical image analysis, human-centred AI, graph data modeling, neuro-symbolic learning, and AI trustworthiness. Her work develops domain-specific deep learning models for radiological segmentation, histopathology cancer analysis, and 3D reconstruction. Recent projects address explainability in LLMs, fairness in AI, and human-robot interaction frameworks. With over 200 peer-reviewed publications in top venues like CVPR , MICCAI , and NeurIPS , her research spans biomedical imaging, robotics, and general multimodal AI. Scientific Awards include: 2024: ARC Industrial Transformation Research Hub for Human-Robot Teaming 2023: Google Inclusion Research Award 2022: NHMRC Ideas Grant for computational brain imaging 2021: UNSW Engineering Research Excellence Award 2020: Scientia Fellowship (UNSW) 2019: ARC Future Fellowship She supervises 24 current PhD/MPhil students and has graduated 15 advisees, including placements at Harvard University and Siemens Healthineers. Her grants include collaborations with Surf Life Saving Australia and industry partnerships for AI-driven solutions.

• Computer Vision
• Deep Learning
• Multimodal AI
• +7 more

Susan Powers is a Professor of Civil & Environmental Engineering at Clarkson University, where she also serves as the Spence Professor of Sustainable Environmental Systems, Director of the Institute for a Sustainable Environment, and Associate Director of Sustainability. She earned her Ph.D. in Environmental Engineering from the University of Michigan in 1992. Research Interests: Dr. Powers specializes in lifecycle assessment and environmental impact metrics for energy systems, with recent interdisciplinary work on anaerobic digestion for food waste management and smart housing to encourage energy conservation. Her educational research integrates project-based learning to enhance energy and climate change literacy across K-12 and college levels. Scientific Awards: AEESP Distinguished Service Award (2019) AEESP Fellow (2019) Spirit of Entrepreneurship Award (2012) Premier Curriculum Award for K-12 Engineering (2009) NSF Directors Award – Distinguished Teaching Scholar (2004) Grants & Educational Leadership: Dr. Powers has led multiple education-oriented grants, including the NSF Distinguished Teaching Scholars award, to develop project-based modules for sustainability education. She actively incorporates campus sustainability initiatives into student projects to teach real-world environmental problem-solving.

• Lifecycle Assessment
• Energy Systems
• Environmental Impact Metrics
• +7 more