Find Academic Supervisors

Joe F. Bozeman IIIView profile

Assistant Professor

• Industrial Ecology
• Climate Change Adaptation and Mitigation
• Food-Energy-Water Nexus
• +7 more

Joe F. Bozeman III is an Assistant Professor in the School of Civil and Environmental Engineering at the Georgia Institute of Technology's College of Engineering, with a courtesy appointment in the School of Public Policy. He serves as the SEI Lead for Ethics in Energy Transition and directs the Social Equity and Environmental Engineering Lab (SEEEL). His work bridges engineering practice with ethical considerations in climate change adaptation and mitigation strategies. Dr. Bozeman's educational background includes: Ph.D. in Industrial Ecology from University of Illinois at Chicago (2020) M.S. in Environmental Engineering from Wright State University (2010) B.S. in Environmental Engineering from Wright State University (2008) As an industrial ecologist, Dr. Bozeman focuses on developing ethical climate change adaptation and mitigation strategies. His research spans circularity analysis, food-energy-water nexus systems, sustainable urban systems, and life cycle assessment. His work uniquely integrates sociodemographic considerations into environmental engineering practice, examining how different demographic groups experience environmental impacts differently. This focus on systemic equity in industrial ecology applications has positioned him as a thought leader addressing the 'wicked' challenges of our time through cross-disciplinary collaboration with psychology, economic, and public health experts. Dr. Bozeman's scientific contributions have gained significant attention, with research featured in mainstream media outlets including NPR, the New York Post, Popular Science, and Free Speech TV. His work on U.S. food-consumption impacts across sociodemographic subgroups has particularly resonated with broader audiences. His publications demonstrate recognition through frequent citations and media coverage. With over a decade of experience in public and private sectors as an energy and environmental practitioner before joining Georgia Tech, Dr. Bozeman brings practical insights to his academic work. His SEEEL lab serves as a hub for integrating ethics, engineering, and community engagement, exploring innovative ways to merge technical findings with artistic expression for broader public accessibility. Dr. Bozeman maintains affiliations with multiple research centers at Georgia Tech, including Sustainable Systems, Renewable Bioproducts, Energy initiatives, and the Institute for Matter and Systems. His work on urban carbon management strategies, food-energy-water equity, and circular economy approaches demonstrates his commitment to creating more just and sustainable systems through engineering practice.

René JustView profile

Associate Professor

• Software Engineering
• Software Security
• Data Science
• +5 more

René Just serves as an Associate Professor at the Paul G. Allen School of Computer Science & Engineering, University of Washington, specializing in the Software & Hardware Systems focus area within the Programming Languages & Software Engineering Group (PLSE). His research integrates software engineering, software security, and data science to advance static and dynamic program analysis techniques, developer productivity tools, and applied statistical/machine learning methods for improving software reliability and security. This work addresses critical challenges in defect detection, mutation testing, and empirical software engineering through innovative infrastructure development. Dr. Just's scientific contributions have received significant recognition: NSF CAREER Award Most Influential Paper Award (10-year test-of-time) Most Influential Paper Award (10-year test-of-time) His research has additionally earned multiple distinguished paper awards and honorable mentions at premier computer science conferences. As an active mentor, Dr. Just recruits undergraduate and graduate students interested in software engineering and security research. He has developed widely adopted open-source infrastructures including Defects4J (a reproducible defect benchmarking framework) and the Major mutation framework, which serve as foundational tools for researchers and educators globally. These projects demonstrate his commitment to creating practical research and educational resources. Within the Programming Languages & Software Engineering Group (PLSE), Dr. Just collaborates on interdisciplinary initiatives that bridge programming languages, software engineering, and security research to solve complex real-world problems.

• Radiative Heat Transfer
• Ultrafast Laser-Tissue Interactions
• Nanoscale Thermal Transport
• +4 more

Professor Zhixiong Guo is a distinguished faculty member in the Department of Mechanical and Aerospace Engineering at Rutgers, The State University of New Jersey. He serves as Editor-in-Chief for the Journal of Enhanced Heat Transfer and Heat Transfer Research, and has made significant contributions to thermal sciences and engineering. His research spans multiple domains including radiative heat transfer, ultrafast laser-tissue interactions, and nanoscale thermal phenomena. Professor Guo received his educational foundation at Tsinghua University in Beijing, China, where he earned a B.S., M.S., and Dr. Eng. in Engineering Physics. His academic excellence was evident as he graduated first in his class (1/28) for his B.S. and completed his M.S. one year ahead of schedule. He then pursued and completed his Ph.D. in Mechanical Engineering from Polytechnic University (now Polytechnic School of Engineering, New York University) in just two years. Professor Guo's research interests center on advanced heat transfer phenomena, with particular expertise in radiative transfer in participating media, ultrafast laser-tissue interactions, and nanoscale thermal transport. His work bridges theoretical modeling with practical applications in energy systems, biomedical engineering, and materials science. He has pioneered computational methods for solving complex radiation transfer problems and developed innovative optical sensing techniques using whispering-gallery mode resonators. Analysis of Professor Guo's recent publications reveals a strong focus on emerging thermal technologies, including machine learning applications in heat transfer prediction, nanofluid thermal properties, and advanced materials for thermal management. His work demonstrates a clear trajectory from fundamental radiative transfer research toward practical applications in energy efficiency, biomedical diagnostics, and advanced manufacturing. Professor Guo has received numerous prestigious honors including: Fellow of the American Society of Mechanical Engineers (ASME), 2011 Fellow of the American Society of Thermal and Fluids Engineers (ASTFE), 2021 Rutgers, The Board of Trustees Award for Excellence in Research, 2018 As Editor-in-Chief of two leading journals in the field, Professor Guo has significantly shaped the direction of thermal sciences research. His laboratory at Rutgers focuses on cutting-edge research in optical thermal sensing, ultrafast radiation phenomena, and advanced computational methods for heat transfer analysis. Current research directions include machine learning applications in thermal systems and novel approaches to energy conversion and storage.

Terri S. WilsonView profile

Associate Professor

• Education Policy
• Educational Justice
• School Choice
• +5 more

Terri S. Wilson is an Associate Professor in the Department of Educational Foundations, Policy & Practice at the University of Colorado Boulder's School of Education , where she also serves as Faculty Director of the MA in Higher Education (MAHE) program . She holds a PhD from Teachers College, Columbia University , and was a National Academy of Education/Spencer Postdoctoral Scholar (2012-2014) . Prior roles include teaching at Southern Illinois University Carbondale and community engagement work in Minnesota. Her research intersects philosophy of education with policy, focusing on the balance between individual choice and public goods like equity and democratic participation. Key areas include school choice justice , diverse charter schools , and the opt-out movement against standardized testing. She explores how policy shapes educational equity and how philosophical frameworks address ethical dilemmas in education. Dr. Wilson’s recent work critiques racial discourses in education ( Doing Whiteness ), examines accountability mechanisms ( Decentering the State ), and analyzes activism through lenses like machine learning ( Combining Machine Learning... ). Her writing bridges theory and practice, emphasizing actionable insights for equitable policy. Awards: National Academy of Education/Spencer Postdoctoral Scholar (2012-2014) Her teaching includes courses on philosophy of education and research methods. While specific grants are not detailed, her work aligns with funders prioritizing equity and policy innovation. Collaborative projects, like the opt-out movement study, reflect her commitment to interdisciplinary, socially engaged scholarship. Though not tied to a formal lab, her research collaborates with institutions addressing systemic educational challenges, advocating for inclusive and just practices in education systems.

• Climate Compatible Growth
• Geospatial Modelling
• Machine Learning
• +7 more

Stephanie Hirmer is an Associate Professor in Climate Compatible Growth at the University of Oxford’s Department of Engineering Science and a Visiting Research Fellow at the University of Cambridge’s Centre for Sustainable Development. She leads the Climate Compatible Growth (CCG) Programme as Deputy-Research Director and oversees Advanced Geospatial Modelling. Her work integrates community perspectives into energy decision-making, focusing on vulnerable groups and SDGs such as gender equality and clean energy. Education: DPhil (PhD) in Sustainable Development (University of Cambridge), MPhil in Development Studies, and BEng in Engineering. Professional experience includes roles with GIZ, KfW, and Arup, specializing in energy infrastructure in Africa, the Middle East, and Europe. Co-founder of Rural Senses, recognized for AI-driven data collection methods addressing energy access gaps. Research interests span geospatial modeling, machine learning (NLP), and value-based energy solutions. Current projects include Kenya’s energy planning, lithium-ion battery systems for rural schools, and green hydrogen’s role in development. Awards include Google and Microsoft social impact awards for Rural Senses. Key contributions include frameworks for climate resilience, energy policy analysis, and gender-inclusive infrastructure design. Active in global initiatives like the UKPACT project and FCDO-funded CCG Programme.

Kyle E. NiemeyerView profile

Associate Professor

• Combustion Modeling
• Computational Fluid Dynamics
• Chemical Kinetics
• +5 more

Kyle E. Niemeyer is an Associate Professor at Oregon State University's School of Mechanical, Industrial, and Manufacturing Engineering. He leads the Niemeyer Research Group focused on computational modeling of combustion, reactive flows, and environmental systems. He also serves as Associate Head for Undergraduate Programs and Associate Editor-in-Chief of the Journal of Open Source Software (JOSS). Ph.D. in Mechanical Engineering, Case Western Reserve University (2013) M.S. and B.S. in Aerospace Engineering, Case Western Reserve University (2010, 2009) His research spans combustion modeling, GPU acceleration for chemical kinetics, ocean biogeochemical simulations, and open science practices. Key contributions include: Developing open-source tools like pyMARS and MC/DC Advancing GPU-based chemical kinetics integration algorithms Modeling smoldering combustion in biomass fuels Applying combustion-derived model reduction to ocean systems Recent publications focus on exascale Monte Carlo neutron transport, wildfire fuel modeling, and Cantera software optimization. Awards include AAAS Science & Technology Policy Fellowship and Welty Faculty Fellowship. AAAS Science & Technology Policy Fellow (2022–2023) Welty Faculty Fellow (2021–2024) Better Scientific Software Fellow (2019) His group actively engages in open-source software development and computational methods research for energy, aerospace, and environmental applications.

George BoatengView profile

Lecturer

• Ubiquitous Computing
• Mobile Computing
• Wearable Computing
• +5 more

Dr. George Boateng is a Lecturer at the Department of Management, Technology, and Economics at ETH Zürich, Switzerland. He holds a PhD in Applied Machine Learning from ETH Zürich, a BA in Computer Science, and an MS in Computer Engineering from Dartmouth College, U.S. His research spans ubiquitous computing (mobile and wearable) , applied machine learning , mobile health , and AI in education , producing 35+ peer-reviewed publications. Education PhD in Applied Machine Learning, ETH Zürich MS in Computer Engineering, Dartmouth College BA in Computer Science, Dartmouth College As CEO and Cofounder of Kwame AI Inc. , he develops AI-powered personal knowledge assistants like Adesua (science education), SuaCode (coding education), and Eskwai (legal research). His work focuses on democratizing education in Africa through mobile-first solutions and open-source initiatives such as AfricAIED and Brilla AI . Previously, he worked as an Applied Scientist at Amazon (Alexa AI) and a Visiting Researcher at the University of Cambridge. Scientific Awards: 2023 Forbes 30 Under 30 Europe 2022 IBM New Creators 2021 MIT Technology Review’s 35 Innovators Under 35 2017 Thayer School of Engineering Dean’s Service Award 2016 Ernest Everett Just Award in Mathematics and the Sciences Neukom Prize for Outstanding Undergraduate Research in Computational Science Dr. Boateng also directs the Wearable AI for Rheumatoid Arthritis Management (WARAM) initiative and teaches the #AI4Impact course at ETH Zurich. His projects, such as the smartphone-based coding platform SuaCode , aim to bridge educational gaps in Africa through scalable AI solutions.

Petra HeckView profile

Senior Lecturer

• AI Engineering
• Machine Learning
• MLOps (Machine Learning Operations)
• +3 more

Dr. Petra Heck is a Senior Lecturer at the Faculty of ICT , Fontys University of Applied Sciences, specializing in AI Engineering and Machine Learning. She obtained her MSc in Computer Science from TU Eindhoven (2011) and a PhD in Software Engineering from TU Delft (2016) focusing on 'Quality of Just-in-Time Requirements'. Academic Roles : Lecturer in Software Engineering (2012-2016), Senior Researcher in AI & Big Data lectorate (2016-present) Research Focus : Building production-ready machine learning systems, with a postdoctoral focus (2019-2021) on practical ML engineering challenges. Her work emphasizes: Transdisciplinary collaboration involving non-ICT specialists Knowledge transfer to industry and education Shaping the emerging field of AI Engineering as a formal discipline Her publications highlight: Systematic approaches to ML operations (MLOps) Testing and debugging ML applications Evolving quality models for AI systems Defining AI engineer competencies through job market analysis She supervises students in practice-oriented projects, such as Real-time communication app (2014), and contributes to educational programs for AI engineers.

• Artificial Intelligence
• Global Governance of Artificial Intelligence
• Artificial Intelligence Supply Chain
• +2 more

Alex Shee is a Visiting Professor at the Oxford Internet Institute (University of Oxford), bridging law, venture capital, and AI technology. He co-chairs the Global Partnership on AI’s Future of Work working group, driving global ethical AI initiatives. His collaborations span SKEMA Business School, MILA, McGill University, Amnesty International, and Juste Legal Aid Clinic. Research focuses on AI governance, supply chain dynamics, data labelling, and future workforce implications. Key outputs include co-authoring a seminal policy brief on Generative AI’s workplace impacts with 17 global experts and a paper with Turing Award winner Yoshua Bengio. Awards: Floodgates VC’s Annual Anchor List (Top Business Leader), The Peak’s Power Player Engagements: Lectures at McGill/HEC Paris, podcast host (AI Element), SXSW speaker Advisory roles include GPAI and institutional partnerships fostering academia-industry-civil society collaboration. Notable expeditions include Mount Everest base camp treks reflecting his global impact ethos.

Greg FolienteView profile

Visiting Professor

• Sustainability
• Urban Systems Science
• Built Environment
• +5 more

Prof Greg Foliente is an Enterprise Professor at the University of Melbourne's Faculty of Engineering and Information Technology. He also serves as President/Board Chair of the International Initiative for a Sustainable Built Environment (iiSBE), and holds a Distinguished Visiting Professorship at De La Salle University (Manila) under the Philippine Balik Scientist Program. Recognized globally, he has received the James Croes Medal (ASCE), SWST George Marra Award, and is ranked in Stanford's top 2% scientists. His research focuses on urban systems science, sustainability assessment, and resilience engineering, integrating engineering, risk science, and socio-technical transitions. He has authored over 200 papers, 4 books, and serves on editorial boards of Discover Cities and Buildings . Education: PhD, Virginia Tech (1993) MSc (Civil Engineering), Virginia Tech (1993) MSc (Wood Mechanics), Virginia Tech (1989) BSc (Civil Engineering), Mapua Institute of Technology (1984) Research Interests: His work emphasizes systems approaches to improve safety, sustainability, and resilience in built/urban environments. Key areas include infrastructure resilience, net-zero carbon buildings (via IEA EBC Annex 89), and integrating digital/geospatial technologies with environmental science. Recent publications focus on urban social dynamics, sustainable logistics, and energy master planning. Awards & Recognition: James Croes Medal (ASCE) SWST George Marra Award Top 1% Civil Engineering Researcher (Stanford) Philippine Balik Scientist Awardee Advising & Leadership: Coordinates the Sustainable Built Environment (SBE) conference series, co-chairs WSBE2024, and advises UN agencies/World Bank. His work bridges academic research with real-world applications through ventures like Shadow Ventures and MIT Sloan training. Labs & Networks: Leads initiatives in the International Energy Agency's net-zero buildings program. Active in interdisciplinary teams combining STEM with public health/environmental science through platforms like the iiSBE and Digital Twin frameworks for urban projects.

Adrian AguileraView profile

Associate Professor

• Digital Health Equity
• Mobile Health (mHealth)
• Cognitive Behavioral Therapy
• +6 more

Dr. Adrian Aguilera is an Associate Professor at UC Berkeley's School of Social Welfare and a Professor at UCSF's Department of Psychiatry and Behavioral Sciences. He directs the Digital Health Equity and Access Lab (dHEAL) and previously led the Latinx Center of Excellence in Behavioral Health, focusing on technology-based interventions for marginalized populations. NIH-funded researcher in digital health equity Expert in machine learning applications for mental health Developed HealthySMS platform for text-based interventions Co-PI of DIAMANTE project for diabetes/depression Licensed clinical psychologist at San Francisco General Hospital Awarded NHLBI PRIDE fellowship and Robert Wood Johnson grant His research bridges digital health, implementation science, and health disparities through projects like MoodText and StayWell at Home. He combines user-centered design with AI to create culturally responsive interventions for Latinx communities, emphasizing accessibility and telehealth expansion during pandemic contexts. Scientific Contributions: Over 25 peer-reviewed publications Pioneered SMS-based CBT delivery Advocated for digital inclusion in mental healthcare Integrated machine learning into behavioral interventions Developed frameworks for health equity in mHealth Authored book chapters on culturally informed practices Current projects focus on adaptive learning algorithms for diabetes/depression comorbidity, stress reduction apps for people of color, and telehealth policy analysis. His work addresses socioeconomic barriers through automated systems while maintaining clinical rigor in public sector settings.

• Hybrid Control Systems
• Hierarchical Control Systems
• Distributed Consensus-Based Control
• +3 more

Jörg Raisch is a Professor of Control Systems at the Technische Universität Berlin since March 2006. He previously held positions at Otto-von-Guericke University Magdeburg and the Max Planck Institute for Dynamics of Complex Technical Systems. His research focuses on hybrid and hierarchical control systems , distributed consensus-based control , and control of time-dependent event-discrete systems using tropical algebras. Alma Mater: University of Stuttgart (Technical Cybernetics), UMIST Manchester (Control Systems) Postdoctoral work: University of Toronto (Systems Control Group) His work spans applications in process technology , medical systems , and energy technology . Recent publications emphasize max-plus algebra , P-time event graphs , and over-the-air consensus in clustered networks. He has served on editorial boards of journals like Automatica and Discrete Event Dynamic Systems , and led the IFAC Technical Committee TC1.3 on Discrete Event and Hybrid Systems from 2017-2020. Awards: DFG fellowship for habilitation

Tomislav GeloView profile

Professor

• Energy Economics
• Macroeconomics
• Economic Growth
• +6 more

Tomislav Gelo is a Professor in the Department of Macroeconomics and Economic Development at the Faculty of Economics, University of Zagreb. With an office in room 207 and regular consultations on Thursdays from 12:00 to 14:00, he is an active member of the academic community. His work focuses on the intersection of macroeconomics, energy economics, and sustainable development, with particular attention to Croatia's economic structure and energy transition. Professor Gelo's research spans several critical economic domains. His primary expertise lies in energy economics, examining the relationship between economic growth and energy consumption, energy transition pathways, and the economic impacts of renewable energy investments. He also investigates macroeconomic issues related to Croatia's sectoral development, the impacts of global events like the COVID-19 pandemic on energy markets, and sustainable development strategies. His methodology combines theoretical economic modeling with empirical analysis of national and regional data, addressing policy-relevant questions concerning energy infrastructure, climate change mitigation, and economic responses to global challenges. Analysis of Professor Gelo's recent publications reveals a strong emphasis on energy transition research, particularly examining the economic dimensions of moving toward cleaner energy systems. His work spans theoretical and empirical approaches, with increasing attention to machine learning applications in energy analysis, hydrogen economy viability, and the sectoral implications of decarbonization strategies. His research demonstrates a consistent focus on Croatian economic conditions while situating them within broader European and global contexts. Professor Gelo has contributed significantly to academic discourse through his extensive publication record across multiple journals and conference proceedings. His work addresses critical economic questions related to energy policy, macroeconomic development, and sustainable growth pathways. His research has informed policy discussions on energy infrastructure, renewable energy investments, and economic responses to global challenges like the pandemic. As a faculty member in the Macroeconomics and Economic Development department, Professor Gelo contributes to teaching and mentoring students in economics and business programs at the University of Zagreb. His position as a full professor indicates significant contributions to his field and recognition within the academic community. While specific details about his advisees are not publicly available, his research profile suggests he likely supervises graduate students working on topics related to energy economics, macroeconomic policy, and sustainable development.

Daniel B. ShankView profile

Associate Professor

• Social Psychology
• Artificial Intelligence
• Human-Computer Interaction
• +4 more

Daniel B. Shank is an Associate Professor of Psychological Science at Missouri University of Science & Technology, where he specializes in social psychology and technology interactions. His research primarily focuses on social psychological interactions with and perceptions of artificial intelligence, including morality, emotions, relationships, impressions, and behavior toward AIs. He has received over $3 million in external and internal grants including major funding from the National Science Foundation and the Army Research Office. Dr. Shank's educational background includes a PhD and MA in Sociology, an MS in Artificial Intelligence, all from the University of Georgia, and a BA in Computer Science from Harding University. He previously served as a postdoctoral research fellow at the University of Alabama Birmingham and at the University of Melbourne in Australia. His research interests span social psychology, artificial intelligence, human-computer interaction, technology and emotions, morality and AI, smart home technology, and digital sociology. He has published over 50 peer-reviewed articles in psychology, sociology, and behavioral science technology journals such as Computers in Human Behavior, Journal of Personality and Social Psychology, and Journal of Experimental Psychology Applied. In 2025, he published the book The Machine Penalty: The Consequences of Seeing Artificial Intelligence as Less Than Human with Palgrave-Macmillan, which argues that comparing AI to humans leads us to diminish similar outcomes from AI across various situations. His publication record shows a consistent focus on human perceptions of AI, particularly examining how people judge AI morality compared to humans, emotional responses to AI, and everyday ethical issues with AI rather than just theoretical dilemmas. His recent work has increasingly focused on real-world AI ethics, smart home technology adoption, and the affective impressions people form of AI systems. Professional Recognition: 2024 Faculty Excellence Award, Missouri S&T 2023 Experiential Learning Award, Missouri S&T 2023 Innovative Teaching Award, College of Arts, Science, and Education, Missouri S&T 2021 Research Award, College of Arts, Science, and Business, Missouri S&T 2019 Faculty Research Award, Missouri S&T Dr. Shank actively involves students in his research, as evidenced by his 2021 award for involving students in research. His grant funding from organizations like the National Science Foundation and Army Research Office supports both his research agenda and student participation in meaningful scholarly work.

Gang HeView profile

Assistant Professor

• Energy Systems
• Energy and Climate Policy
• Energy Transition
• +3 more

Gang He is an Assistant Professor at the Marxe School of Public and International Affairs at Baruch College, City University of New York (CUNY). He also serves as Doctoral Faculty in Earth and Environmental Sciences at the CUNY Graduate Center and is a Faculty Affiliate at the CUNY Institute for Demographic Research. As founder and director of the Deep Energy and Climate Policy Lab , he focuses on data-driven energy and climate policy research. Ph.D. in Energy and Resources, University of California, Berkeley M.A. in Climate and Society, Columbia University B.S. and M.S. in Geography, Peking University His research examines energy systems , climate policy , and sustainable development , with specific interests in power sector decarbonization, renewable energy integration, and policy informatics. Recent work explores the carbon-water-energy nexus , just transition from coal, and global supply chain impacts on clean energy deployment. Key publication trends show focus on: Energy transition modeling (SWITCH-China) Renewable cost analysis Climate policy effectiveness Health co-benefits of decarbonization Workforce impacts in coal regions International climate collaboration Scientific recognition includes: World's Top 2% Scientists (2024) Baruch College Faculty Research Award Integrated Assessment Modeling Consortium Best Poster Award Asia 21 Young Leader Aspen Environment Forum Scholar He has provided policy expertise to the New York State Climate Action Council , testified before the Climate Leadership and Community Protection Act hearings, and contributed to UNFCCC and U.S.-China climate working groups . His research has received funding from multiple sources including federal agencies, NGOs, and industry partners. As part of his institutional engagement, he participates in: Marxe School Research Committee CUNY Climate Change Consortium Planning Committee Energy Transition Sub-working Group (U.S.-China Working Group) National Offshore Wind R&D Consortium’s R&D Advisory Group He serves as Associate Editor for Energy, Ecology and Environment and reviewer for leading energy and environmental journals.