Find Academic Supervisors

Sean McGinnisView profile

Professor

• Green Engineering
• Life Cycle Assessment
• Sustainable Manufacturing Processes
• +4 more

Sean McGinnis serves as a Professor of Practice and Director of the Green Engineering Program within the Department of Materials Science and Engineering at Virginia Tech's College of Engineering. His academic and professional endeavors focus on advancing sustainable engineering practices through education, research, and industry collaboration. Dr. McGinnis earned his educational qualifications from prestigious institutions: a B.S. in Chemical Engineering and Materials Science from the University of Minnesota, followed by a Ph.D. in Materials Science and Engineering from Stanford University. His research program is centered on Green Engineering principles, with specific expertise in Life Cycle Assessment, Sustainable Manufacturing Processes, Design for Environment, Carbon Footprint Analysis, Renewable Energy systems, and Interdisciplinary Education methodologies. He has pioneered courses such as Introduction to Green Engineering (ENGR 3124) and Environmental Life Cycle Analysis (ENGR 4134) that equip students with tools to evaluate environmental impacts across product lifecycles. His Earth Sustainability course (UCCS 2984) further extends this interdisciplinary approach to broader societal challenges. Analysis of his publication record reveals a consistent trajectory toward sustainable technology innovation, particularly in the life cycle assessment of nanomaterials and waste streams. Recent work examines circular economy models for nanowaste recycling, environmental implications of nanoparticle synthesis, and the development of optical systems that mitigate harmful blue light exposure while maintaining visual performance. This research bridges materials science, environmental engineering, and human health considerations. Professional recognition for Dr. McGinnis includes: LEED AP BD&C certification Life Cycle Assessment Certified Professional designation Johnson & Johnson Standards of Leadership Award (2003) In his leadership capacity as Director of the Green Engineering Program, Dr. McGinnis oversees curriculum development that integrates sustainability across engineering disciplines. He has published on educational methodologies for assessing interdisciplinary integration of green engineering knowledge and has organized introductory green engineering courses for undergraduates. His work extends to operational phase life cycle assessment of facilities and sustainable provision of food and water systems.

Joshua NewView profile

Research Professor

• Building Energy Modeling
• Climate Change Science
• Supercomputing
• +5 more

Dr. Joshua New is a Distinguished R&D Staff Member at Oak Ridge National Laboratory (ORNL) and holds a Joint Faculty Position at The University of Tennessee since 2012. He leads research in building energy modeling, climate change science, and supercomputing. His work focuses on urban-scale energy systems, AI-driven analytics, and high-performance computing applications. Education: Ph.D. in Computer Science (University of Tennessee, 2009), M.S. in Computer Systems, B.S. in Computer Science and Mathematics (Jacksonville State University). His research interests include optimizing building energy efficiency, simulating climate impacts on urban infrastructure, and developing tools like AutoBEM and ModelAmerica to model 122.9 million U.S. buildings. He has over 150 peer-reviewed publications and led 45+ projects involving supercomputing, visual analytics, and AI for big data. Awards include the R&D 100 Award (2016), ASHRAE Distinguished Service Award (2018), and Lab-Corps (2015). His teams prioritize utility use cases and validate models against real-world data. He is a Senior IEEE member, Certified Energy Manager (CEM), and holds certifications in project management and energy efficiency. Key contributions include the Roof Savings Calculator Suite, AutoGen/AutoSim tools, and the ModelAmerica initiative. His work addresses national energy policy, heatwave resilience, and sustainable city design through interdisciplinary collaborations.

Brad HayesView profile

Associate Professor

• Collaborative Robotics
• Human-Robot Interaction
• Artificial Intelligence
• +5 more

Brad Hayes is an Associate Professor of Computer Science at the University of Colorado Boulder within the College of Engineering and Applied Science, where he directs the Collaborative AI and Robotics (CAIRO) Laboratory. He also serves as Chief Technology Officer at Circadence, leading efforts in developing AI-enabled products for cybersecurity training and assessment. Undergraduate degree from Boston College PhD in Computer Science from Yale University Postdoctoral Associate at MIT Professor Hayes' research focuses on developing techniques that enable autonomous agents and robots to learn from and collaborate with humans safely, reliably, and productively. His work occurs at the intersection of pervasive and personalized artificial intelligence, human-robot teaming, and decision support. He has made significant contributions to collaborative robotics, dependable explainable AI, and imitation learning, with applications spanning manufacturing, healthcare, disaster response, autonomous vehicles, and space exploration. His recent publications reveal a strong emphasis on human-robot interaction, with particular focus on improving predictability in collaborative tasks, developing explainable AI systems that build trust, leveraging augmented and virtual reality for enhanced collaboration, and creating more efficient learning algorithms from human demonstrations. His work increasingly integrates large language models and advanced neural network architectures while maintaining a strong human-centered design approach. Sustainability Recognition (2025) for computational efficiency in motion planning Best Student Paper Runner-up at AAMAS 2022 Nominated for Best Technical Paper at HRI 2024 Best Technical Paper Runner-up at HRI 2019 Hayes has successfully mentored numerous graduate students through the CAIRO Lab, including multiple PhD graduates in 2024 alone. His lab receives funding from various organizations supporting research in human-robot interaction and collaborative AI. He frequently collaborates with industry partners and has established connections with major technology companies through his research and speaking engagements. The CAIRO Lab, under Hayes' direction, is a vibrant research environment focused on turning theoretical concepts into practical applications through hands-on work with real robots and human participants. The lab's research spans multiple domains including manufacturing, disaster response, autonomous vehicles, and space exploration, with a consistent emphasis on safe and effective human-machine teaming.

• Hospital Ventilation
• Indoor Airflow Distribution
• Thermal Comfort
• +3 more

Guangyu Cao is a Professor at the Department of Energy and Process Engineering, Norwegian University of Science and Technology (NTNU). He holds leadership roles in multiple international organizations, including the European standards working group CEN TC156 WG18, REHVA's technical committee, and the editorial board of the Journal of Building Engineering (Impact Factor 5.318). His research focuses on indoor airflow dynamics, ventilation systems in healthcare settings, and airborne disease transmission mitigation, with a strong emphasis on surgical environments and school buildings. Education: PhD in Energy Engineering (2009), Helsinki University of Technology Senior Researcher at VTT Technical Research Center (2009-2014) Research Interests: Hospital ventilation optimization, thermal comfort in clinical settings, airborne infection control, and sustainable building environmental quality. He combines experimental studies with mathematical modeling to evaluate ventilation strategies, particularly in operating rooms and isolation wards. Projects: EU Marie Curie DTN HumanIC (2024–2027) EU H2020 iclimabuilt (2021–2025) NFR POSIred (2020-2024) Labs/Teams: Collaborates with St. Olav's Hospital on indoor environment projects and leads teams in Cold Climate HVAC and Healthy Building Europe initiatives.

Richard EberhardtView profile

Lecturer

• Serious Games
• Educational Games
• Game Design
• +5 more

Richard Eberhardt serves as Program Manager for the MIT Game Lab and instructor for MIT Game Lab classes at the Massachusetts Institute of Technology, where he aligns research projects with staff, equipment, and funding while mentoring student game development initiatives. His operational leadership supports the lab's mission to advance game literacy through interdisciplinary collaboration. His academic credentials include: Bachelor of Arts from the College of William & Mary Serious Games MA Certificate from Michigan State University Professional certifications: Certified Scrum Master PMI Agile Certified Practitioner Eberhardt's research investigates historical representation in games, analyzing how mechanics model historical systems and which narratives are amplified or marginalized in gaming communities. His scholarship spans serious games for mental health awareness, educational applications of VR/AR technologies, and inclusive game jam methodologies, consistently addressing public literacies through civic systems and emotional intelligence frameworks. Analysis of his 2013-2023 publications reveals sustained focus on game-based educational tools across STEM and humanities domains. His work pioneers VR simulations for photonics education, examines historical accuracy in commercial games, and develops inclusive frameworks for collaborative design events. This output demonstrates strategic integration of game mechanics with learning objectives while addressing representation gaps in historical gaming. Notable recognition includes an award for elude , the depression awareness game developed in 2010 for patients' support networks. As a mentor, Eberhardt directs student projects like elude and hosts game jams fostering community collaboration. His Agile-certified project management approach facilitates resource allocation across educational initiatives, though specific grant details remain undisclosed in available materials. The MIT Game Lab operates as his primary research ecosystem, connecting students, faculty, and community partners to explore games' transformative potential in education and social contexts through its Civic Systems, Media & Emotional Intelligence pillar.

Duncan WilsonView profile

Professor

• Internet of Things (IoT)
• Artificial Intelligence (AI)
• Smart Cities
• +7 more

Duncan Wilson is a Professor of Connected Environments at the Bartlett Centre for Advanced Spatial Analysis (CASA) at University College London. His work bridges academia and industry, focusing on IoT, AI, and spatial analysis to enhance understanding of built and natural environments. Current role: Professor of Connected Environments at UCL Education: PhD in Artificial Intelligence and Machine Vision (UCL, 1997), BEng (Hons) in Electrical Engineering (Loughborough University, 1993) Research interests include: Cognitive computing at the network edge Extraordinary sensory systems for data capture Spatial reasoning and digital twins IoT for healthcare and biodiversity Edge AI and TinyML Recent articles span digital twin development , IoT for biodiversity monitoring , and smart healthcare infrastructure . He has received recognition for collaborative R&D approaches during his directorship at Intel's Sustainable Connected Cities institute. Teaching: Leads MSc Connected Environments and modules on IoT ethics, AI on microcontrollers, and sensor network deployment Projects: IoT Living Lab at UCL, Project Hercules for eye clinic analytics, and Shazam for Bats environmental monitoring Professional activities: Former Director of Intel Collaborative Research Institute (2012-2018), ex-member of Smart London Board (2017-2022)

Farzan BanihashemiView profile

Research Fellow

• Urban Building Energy Modeling
• Building Energy Simulation
• Machine Learning and Deep Learning
• +1 more

Farzan Banihashemi serves as a Research Fellow at the Chair of Energy Efficient and Sustainable Design and Building at the Technical University of Munich (TUM), maintaining this affiliation since 2019 while concurrently working as a Data Scientist at Climateflux GmbH since 2023. His work bridges sustainable building design and data science, focusing on computational approaches for urban energy systems. His academic credentials include: Master in Management from TUM School of Management (2019) Master in Energy Efficient and Sustainable Building from TUM (2017) His research centers on data-driven urban building energy modeling (UBEM) , building energy simulation , and machine learning applications for occupant behavior analysis . He develops non-intrusive sensing methodologies to model window operations and occupancy patterns using environmental data streams, with significant contributions to CO2-based occupancy detection systems and predictive modeling for office environments. His work integrates climate change considerations into early-stage building design processes. Analysis of his 2022-2024 publications reveals a concentrated research trajectory applying artificial intelligence to building energy challenges. Over 60% of his recent work addresses occupant behavior modeling—particularly window operations and space occupancy—using explainable AI techniques. His publications also demonstrate growing engagement with urban-scale applications, including urban heat island mitigation and vertical densification strategies, often incorporating life cycle assessment frameworks. No scientific awards were documented in the source materials. While specific advising activities aren't detailed, his collaborative publication pattern (average 4.3 co-authors per paper) indicates active participation in research teams. Grant involvement is implied through project affiliations though specific funding mechanisms aren't specified. He operates within TUM's Chair of Energy Efficient and Sustainable Design and Building, contributing to major initiatives including Building Climate–Municipal (BauKlima-Kommunal), CircularFTmehrRAUM, CircularGreenSimCity, and the NAWAREUM project. These efforts focus on sustainable urban development, climate adaptation strategies, and circular economy implementation in the built environment, particularly examining urban densification under climate change scenarios.

• Environmental Engineering
• Urban Sustainability
• Industrial Ecology
• +3 more

Hua Cai is the Thomas and Jane Schmidt Rising Star Associate Professor at Purdue University's Edwardson School of Industrial Engineering with a joint appointment in Environmental & Ecological Engineering. She holds a PhD in Environmental Engineering & Natural Resources from the University of Michigan, an MS in Environmental Engineering from Penn State, and a BS from Tsinghua University. Her research integrates operations research and production systems to address sustainability challenges, with focus areas including: Environmental implications of emerging technologies Urban sustainability modeling and infrastructure resilience Industrial ecology and complex adaptive systems Sustainable transportation and mobility systems Recent publications demonstrate strong focus on sustainable transportation systems, with extensive analysis of shared mobility patterns (bike/e-scooter systems), autonomous vehicle impacts, and microgrid resilience. Her work consistently applies advanced computational methods including reinforcement learning, agent-based modeling, and spatiotemporal analysis to urban sustainability challenges. Dr. Cai has received recognition including the Thomas and Jane Schmidt Rising Star Professorship for her contributions to sustainable systems engineering. She leads research on renewable energy integration in transportation infrastructure and advises projects on climate-resilient urban systems.

Ronita BardhanView profile

Associate Professor

• Heat-Health and Built Environment
• Decarbonisation of Built Environment
• Urban Microscale
• +12 more

Dr. Ronita Bardhan is Associate Professor of Sustainable Built Environment at the University of Cambridge , where she leads the Cambridge Sustainable Design Group and serves as Director of Research & Deputy Head of the Department of Architecture . She holds courtesy roles at Cambridge Public Health and the Department of Computer Science and Technology , and is a Fellow at Selwyn College . Education: BArch, MCP, MA, PhD (Urban Engineering) Her research intersects built environment , climate change , and public health , focusing on data-driven strategies for precision prevention of health and energy burdens. She pioneers algorithmic approaches to identify decarbonisation potential in buildings and urban areas, with a particular emphasis on gender-inclusive climate adaptation in the Global South. The 15 most recent articles span topics such as urban cooling with tree canopies , heatwave impacts on social systems , and machine learning applications for building energy efficiency . Her work addresses climate justice , hybrid workspace design , and thermal comfort in low-income housing . Awards: Top 50 Finalist Women in Engineering, UK 2024 Exceptional Woman of Excellence, Women Economic Forum Felicitated by Ministry of Health, Maharashtra, India She advises World Bank and ADB on affordable housing and climate resilience, and chairs the Research Ethics Committee at the Department of Architecture. Her lab, the Sustainable Design Group , develops solutions for health and low-carbon potential in built environments.

Roel C.G.M. LoonenView profile

Associate Professor

• Building Performance Simulation
• Energy Engineering
• Adaptive Facades
• +7 more

Roel C.G.M. Loonen is an Associate Professor at the Unit Building Physics and Services within the Department of the Built Environment at Eindhoven University of Technology (TU/e), Netherlands. He holds joint appointments with EAISI High Tech Systems and EIRES Research groups, focusing on building performance simulation and energy systems. His work bridges academic research with practical applications through collaborations with SMEs in the building industry. Loonen received his BSc and MSc (cum laude) in Building Services from Eindhoven University of Technology, followed by a PhD in 2018 with a dissertation on 'Approaches for computational performance optimization of innovative adaptive facade concepts.' His educational background has positioned him as a leading expert in building performance simulation and sustainable building technologies. His research interests center on developing and applying modeling and simulation strategies to support decision-making for designing buildings that combine high indoor quality with minimal environmental impact. Key areas include adaptive facades, building-integrated renewable energy systems, and energy-efficient building envelopes. He specializes in creating and validating new building performance simulation models to advance innovative building technologies. His recent publications demonstrate a strong focus on practical applications of building performance simulation, with emphasis on residential energy efficiency, photovoltaic systems, and occupant-centered approaches to building design. The work shows increasing integration of machine learning techniques with traditional building simulation methods, particularly for sensitivity analysis and optimization of building performance. REHVA Young Scientist Award (2021) Best PhD supervisor award from Department of the Built Environment, TU/e (2018) First prize - REHVA International student competition (2011) Smart daylight control for optimal building performance (NWO Take-off award, 2018) Best paper award (2021) Loonen actively supervises PhD and Master's students, evidenced by his Best PhD Supervisor Award in 2018. He manages multiple research projects including Sustainable Summer Comfort (2024-2027), Modeling Innovative Use Scenarios for Future Domestic Comfort (2023-2026), and Just Prepare (2022-2026), with funding from sources including the Dutch Research Council (NWO). His professional service includes being a board member of the Dutch-Flemish IBPSA affiliate and co-chair of IBPSA World's website committee, plus reviewing for 35 academic journals. He leads research within the Building Performance group, focusing on creating practical tools and methodologies that bridge the gap between theoretical building performance models and real-world implementation in the construction industry. His work particularly emphasizes the integration of occupant behavior and practices into building performance models, recognizing that human factors are critical to achieving sustainable building performance in practice.

Fatma DeghimView profile

Research Fellow

• Urban microclimate
• Building energy simulation
• Green infrastructure integration
• +4 more

Fatma Deghim is a Research Fellow at the Technical University of Munich , affiliated with the Chair of Energy Efficient and Sustainable Design and Building. Her work focuses on urban microclimate, building energy simulation, and data-driven methods for sustainability. Education : Master’s Degree in Civil Engineering (2019–2022) and Bachelor’s Degree in Civil Engineering (2015–2019), both from TUM. Research Interests include: Urban microclimate and indoor-outdoor interactions Building energy simulation and comfort analysis Integration of green infrastructure in climate-resilient design Data-driven methods for environmental monitoring Publications highlight her expertise in applying machine learning to occupancy modeling, thermal comfort prediction, and multi-objective optimization frameworks for sustainable building design. Her work emphasizes uncertainty analysis, resource efficiency, and computational methods. Teaching contributions include assisting in courses on sustainable architecture, building energy principles, and urban water systems at TUM.

• Digital Transformation
• Technology and Innovation Management
• Healthcare Technology
• +5 more

Dr. Seyed Mohammad Sadegh Khaksar is a Senior Lecturer in Technology Management at La Trobe Business School, specializing in digital transformation, innovation, and healthcare technology. He holds a PhD in Management and teaches courses like Project Management. As Head of the Project Management major, he employs innovative pedagogies such as blended learning and peer review to enhance graduate employability. His research focuses on digital excellence strategies in firms, with notable projects including an AUD 96k IoMT platform for rural healthcare and AUD 40k studies on aged care supply chain resilience. He advises startups and organizations on digital strategies, particularly in healthcare, oil & gas, and professional services. Key research areas include social robots in education and care, IoT applications, and agile-lean methodologies. He has secured over $300k in grants and serves on editorial boards like Technological Forecasting and Social Change . Awards include the 2024 Student Experience Award and 2021 Early Career Researcher Award. Current PhD supervision spans digital responsibility in healthcare and banking sectors, and IoT-driven service innovations. He leads funded projects on smart cities and pandemic logistics, reflecting his interdisciplinary impact across technology, healthcare, and education.

• Software Engineering
• Computer Supported Cooperative Work (CSCW)
• Human-Computer Interaction (HCI)
• +5 more

Hilda Tellioglu is an Associate Professor and Dean of Academic Affairs for Informatics at TU Wien, leading the Artifact-based Computing and User Research department. She holds a dual role as Head of Research Unit and oversees the Office of the Dean. Her work focuses on Human-Computer Interaction (HCI), Design Thinking, and Digital Transformation, with a strong emphasis on socio-technical systems and participatory design methodologies. Research interests span software engineering, CSCW, ambient assisted living (AAL), and digital co-creation practices in urban planning. She has spearheaded projects like aspern.mobil LAB, EnviSense, and StreetForum, exploring smart mobility, environmental sensing, and citizen participation in urban development. Her work frequently integrates tangible interfaces and model-based design approaches. Key contributions include frameworks for digital transformation evaluation (EEFCET 2020), user-centered design for informal caregivers (TOPIC platform), and crisis management systems using crowdsourcing (RE-ACTA). She has led over 20+ research projects funded by FFG, EU, and national agencies, focusing on mobility innovation, healthcare technology, and sustainable urban systems. Teaching responsibilities include courses on Design Thinking, Digital Transformation, and Research Methods across bachelor's, master's, and PhD programs. She actively promotes interdisciplinary collaboration through initiatives like the Center for Technology & Society (CTS) and Living Lab methodologies.

Brad CampbellView profile

Associate Professor

• Ubiquitous Computing
• Internet of Things (IoT)
• Embedded Systems
• +12 more

Brad Campbell is an Associate Professor in the Department of Computer Science and Electrical and Computer Engineering at the University of Virginia, where he is a member of the Link Lab, a cross-disciplinary research group focused on cyber-physical systems. His research centers on designing and building scalable, effective, and unobtrusive embedded systems for the Internet of Things, with applications in smart buildings, smart cities, and personal health. His work spans hardware design, networking, and cloud infrastructure, with a strong emphasis on energy-harvesting systems, low-power wireless communication, and resilient embedded operating systems. He has led projects such as the Living Link Lab, a heavily instrumented smart building testbed, and has developed open-source platforms for self-powered sensing and IoT ecosystems. His recent publications reflect a strong trend toward privacy-preserving federated learning, contactless occupancy sensing using WiFi and light, decentralized edge computing, and sustainable IoT systems. These works are published in top venues including SenSys, BuildSys, MobiCom, and IPSN, indicating a high impact in the systems and networking community. NSF CAREER Award (2022) Best Paper Award at DFHS’19 Multiple graduate fellowships and teaching awards for his students UVA Engineering Endowed Graduate Fellowships Link Lab Seminar Award CPS Rising Star recognition Brad Campbell has advised numerous PhD and master’s students, many of whom have gone on to academic and industry roles. He has secured significant research funding, including from the NSF, and has contributed to curriculum development in cyber-physical systems. He is actively involved in teaching courses on computer networking, IoT, and operating systems, and has co-taught wireless IoT courses across multiple institutions. His lab focuses on real-world deployment of IoT systems, emphasizing scalability, fault tolerance, and long-term sustainability. He continues to push the boundaries of what embedded systems can achieve in everyday environments, from homes to cities.

Shoshana R. SheltonView profile

Professor

• Program Evaluation
• Performance Measurement
• Public Health
• +12 more

Shoshana R. Shelton is a Professor at the RAND School of Public Policy and a Policy Researcher at the RAND Corporation. Her work centers on program evaluation, public health systems, emergency preparedness, and national health security, with significant contributions to pandemic response, violence prevention, and crisis decision-making. She has led major projects for federal agencies including the CDC, DHS, FEMA, and the U.S. Secret Service. Education: M.P.H., The Ohio State University B.A. in English, Denison University Her research focuses on strengthening public health infrastructure through performance measurement, logic modeling, and stakeholder engagement. She has developed tools such as tabletop exercises for continuity of operations in public health laboratories and led after-action reviews of the public health response to COVID-19. Her work emphasizes building resilience against biological threats, natural disasters, and targeted violence. Shelton's recent publications highlight trends in emergency alert systems, disaster resilience, criminal justice reform during pandemics, and equitable health security research investment. She advocates for evidence-based policies that balance bioterrorism preparedness with responses to natural disasters and climate-related emergencies. Scientific Awards: No awards listed in the provided text. She has advised or collaborated with numerous federal and state agencies, contributing to national health security through rigorous evaluation and policy analysis. Her grants and projects reflect sustained funding from DHS, CDC, and other federal bodies focused on improving public safety and health system readiness. She has also led initiatives on behavioral threat assessment in schools and wearable technology for law enforcement wellness. Labs and Teams: Previously led a four-year project on mass attacks and targeted violence for the U.S. Secret Service. Collaborated with the Association of Public Health Laboratories (APHL) on continuity of operations planning. Contributed to the Priority Criminal Justice Needs Initiative, fostering innovation across law enforcement, courts, and corrections.