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Archie ChapmanView profile

Associate Professor

• Artificial Intelligence
• Game Theory
• Optimization
• +8 more

Associate Professor Archie Chapman is an Associate Professor in Computer Science and Deputy Director (Teaching and Learning) at the School of Electrical Engineering and Computer Science, The University of Queensland. His research focuses on applying artificial intelligence, game theory, optimization, and machine learning to address challenges in future power systems, including renewable energy integration and battery storage optimization. Prior to UQ, he held roles as a Research Fellow in Smart Grids at the University of Sydney (2011-2019) and a postdoc at the University of Southampton (2009-2010), where he completed his PhD in 2004. Research interests include: - Large-scale optimization for energy systems - Demand response and peer-to-peer energy trading - Renewable energy integration and grid stability - Battery storage strategies for smart grids - Algorithmic game theory for energy market design Notable projects: - Bruny Island battery trial for network congestion management - Analysis of tariff impacts on solar households - Development of decentralized energy management frameworks Publications span over 100 articles, with recent work focusing on: - Prosumer battery systems and capacity firming (2025) - Unbalanced optimal power flow benchmarks (2024) - P2P energy trading mechanisms (2021-2023) Expertise includes: - Techno-economic analysis of energy systems - Distributed optimization algorithms - Policy and market design for renewable integration

• Integrated Circuits
• Signal Processing
• Data Analytics
• +4 more

Xin Li is a Professor in the Department of Electrical and Computer Engineering at Duke University and serves as the Associate Vice Chancellor at Duke Kunshan University. He holds a Ph.D. from Carnegie Mellon University (2005) and has held leadership roles in research consortia like the FCRP Focus Research Center and the Center for Silicon System Implementation (CSSI). His research bridges integrated circuits , machine learning , and cyber-physical systems , with applications in autonomous driving, battery lifetime prediction, and smart buildings. Education : Ph.D., Carnegie Mellon University (2005); M.S., Fudan University (2001); B.S., Fudan University (1998) His work emphasizes robust design methodologies for analog/RF circuits, data-driven predictive modeling , and Bayesian inference for high-dimensional variation spaces. Recent publications focus on generative adversarial networks for circuit design, multi-view imputation for incomplete data, and knowledge-driven autonomous systems . He has received numerous accolades, including the NSF CAREER Award (2012) , IEEE Donald O. Pederson Best Paper Awards (2013, 2016) , and IEEE Fellow (2017) . He has served as Editor for journals like IEEE Transactions on Biomedical Engineering and as Chair for conferences including ISVLSI and CAD/Graphics.

Maria KolokotroniView profile

Professor

• Urban Heat Island Mitigation
• Energy Efficiency in Buildings
• Nearly Zero Energy Buildings (nZEB) Retrofit
• +4 more

Professor Maria Kolokotroni is a full academic staff member at Brunel University's Department of Mechanical and Aerospace Engineering, within the College of Engineering, Design and Physical Sciences. She holds a Professorial rank and has extensive experience in urban environmental engineering and building energy systems. Her academic career began at UCL (MSc 1992, PhD 1995), followed by postdoctoral research on environmental design guidance and moisture management. She joined Brunel University in 1998 and contributed to the Building Research Establishment's indoor environment division prior to her academic appointment. Education MSc in Environmental Design and Engineering, Bartlett School, UCL (1992) PhD in Thermal Performance of Housing, UCL (1995) Postdoctoral Research: Environmental Design Guidance (UCL, 1996-1998) EPSRC-funded Postdoc: Moisture in Residential Buildings (University of Westminster, 1998) Research Interests Her work focuses on urban heat island mitigation, energy-efficient building technologies, ventilative cooling systems, and urban microclimate analysis. She actively collaborates on EU-funded projects like the IEA’s Annex 80 (Resilient Cooling) and Annex 62 (Ventilative Cooling), emphasizing practical applications of sustainable energy strategies. Key themes include: Urban albedo computation and reflective materials Thermal performance of residential and non-residential buildings Integration of renewable energy systems (photovoltaics, hydrogen) Building energy demand modeling Grants & Projects Recent projects include: PRELUDE: Real-time building energy optimization (EU, 2020-2024) PVadapt: Smart building-integrated photovoltaic systems (EU, 2018-2022) ReCO2ST: Near-zero energy retrofit platform (EU, 2018-2021) Urban albedo studies in high-latitude cities (EPSRC, 2017-2020) Advising & Collaborations Professor Kolokotroni leads interdisciplinary teams and collaborates with experts in mechanical engineering, environmental science, and urban planning. Her work bridges academic research with industry applications through projects like COOL ROOFS EU initiative and the IEA’s energy efficiency annexes. Labs/Teams Active in the International Energy Agency’s EBC Annex 80 (Resilient Cooling) and part of Brunel’s Institute for the Environment (IEF). Her research group focuses on building sustainability and climate resilience through advanced simulation tools and experimental validation.

James S. CottonView profile

Professor

• Thermo-Fluid Sciences
• Sustainable Energy Systems
• Heat Transfer
• +4 more

Professor James S. Cotton is a faculty member in the Department of Mechanical Engineering at McMaster University , specializing in Thermo-Fluid Sciences with a focus on energy sustainability and thermal management. Current research explores thermal energy harvesting , non-thermal plasma flue gas cleaning , and smart electrohydrodynamic heat exchangers . Active in community energy planning as a member of the Burlington Climate Action Plan (2019-2021) and Green Venture board (2016-2021). Research spans both fundamental and applied domains, including two-phase flow , electrohydrodynamic heat transfer modulation , and flow accelerated corrosion analysis. His work integrates modeling and experimental validation for real-world thermal systems. Scientific Contributions: Developed two novel patents for advanced thermal management and soot removal systems during his industrial career at Dana Corp. (until 2007). Current projects involve community energy corridors and next-generation sustainable energy solutions , including the 2025 Hamilton Energy Harvesting Study . Active mentor in graduate education, teaching courses like MECH ENG 4O04: Sustainable Energy Systems and MECH ENG 708: Two Phase Flow and Heat Transfer .

Bernd MöllerView profile

Professor

• Sustainable Energy Systems
• Renewable Energy (Wind, Solar, Biomass)
• Geographical Information Systems (GIS)
• +3 more

Prof. Dr. Bernd Möller is a faculty member at Europa-Universität Flensburg, specializing in sustainable energy systems management for developing countries. His research focuses on renewable energy integration, spatial analysis, and environmental planning, leveraging GIS tools for energy system transformation. Current position: Professor at Department Energy and Environmental Management Alumni of Flensburg University of Applied Sciences and Aalborg University (PhD in Energy Planning) Research interests encompass wind/solar/biomass systems, energy atlas development, and climate-resilient infrastructure. His work bridges technology, economics, and spatial planning in renewable transitions. Publications highlight trends in offshore wind modeling, biomass logistics, district heating expansion, and GIS-driven energy solutions. Key themes include decarbonization, resource constraints, and regional energy equity. Teaching involves applied GIS science, energy planning frameworks, and development cooperation. He leads the PhD program in Energy and Environmental Management for Developing Countries.

Stefan Thor SmithView profile

Professor

• Energy Systems
• Urban Energy Modeling
• Climate Resilience
• +3 more

Professor Stefan Thor Smith is a distinguished academic at the University of Reading , serving as a Professor in the Department of Energy and Environmental Engineering . His work bridges energy systems with urban sustainability , focusing on the integration of social and technical aspects of energy demand , urban energy system modeling , and climate change resilience . Academic Qualifications Postgraduate Certificate in Academic Practice (University of Reading, 2016) PhD in Built Environment (University of Nottingham, 2009) MSc in Computer Science (University of Glasgow, 2002) BSc in Physics (University of Nottingham, 2001) His research interests span the dynamics of energy demand in socio-technical systems, urban heat fluxes, pollution exposure modeling, and climate adaptation strategies. He has developed novel models for energy demand-side management , building environmental control , and urban climate interactions . Recent publications highlight his expertise in areas such as EV charging infrastructure , urban tree radiative performance , phase change material storage , and anthropogenic heat emissions . His work often involves interdisciplinary collaborations with institutions like the Centre for Research into Energy Demand Solutions and the Institute of Physics . Smith supervises a diverse group of postgraduate students and contributes extensively to teaching modules including Numerical Modelling and Programming and Urban Sustainability . His professional affiliations include the Institute of Physics , International Association of Urban Climatology , and the Higher Education Association .

Fabiano PallonettoView profile

Professor

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

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

• Electrical Engineering
• Engineering Practice and Education
• Control Engineering
• +5 more

Professor Ben Horan is the Head of School of Engineering at Deakin University , Faculty of Science Engineering and Built Environment. He holds a Doctor of Philosophy and Bachelor of Engineering from Deakin University, with expertise in electrical engineering , control systems , and human-centred computing . As a leading researcher in virtual reality (VR) applications, he focuses on safety training, aged care, and extended reality (XR) systems. PhD in Electrical Engineering (Deakin University) Graduate Certificate of Higher Education (Deakin University) Bachelor of Engineering (Deakin University) His research spans VR for electrical safety training , automated vehicle interactions , and XR applications in museums . His work includes grants from the Department of Health, Melbourne Water Corporation, and City of Greater Bendigo. Recent publications analyze 360° video realism, cognitive load in virtual workplaces, and AR for Industry 5.0. Professor Horan supervises PhD candidates exploring topics like autonomous vehicle pedestrian interactions , VR stress mitigation , and industrial XR systems . He has completed supervision of 10+ PhD and Master’s students.

Bo HuView profile

Professor

• Biostatistics
• Bioinformatics
• Neurosurgery
• +7 more

Bo Hu is Professor of Biostatistics & Bioinformatics and Professor of Neurosurgery at Duke University, where he leads methodological and collaborative research at the intersection of biostatistics, bioinformatics, and clinical neurosciences. His dual appointments situate him within the Division of Biostatistics in the Department of Biostatistics & Bioinformatics and within the neurosurgical faculty. Education: Ph.D. in Biostatistics, University of Wisconsin–Madison, 2006 Research Interests: Professor Hu’s methodological work centers on advanced biostatistical and machine-learning techniques for high-dimensional biomedical data, including generative AI, synthetic data generation, and predictive analytics in medicine. Clinically, he collaborates on precision-medicine trials in oncology, neurodegeneration (Alzheimer’s disease), metabolic disease (type 2 diabetes and bariatric surgery), and treatment-resistant depression. His neuroimaging genetics portfolio explores structural brain endophenotypes in bipolar disorder and epilepsy using single-cell transcriptomic integration. Complementing his medical research, he maintains a vigorous program in remote-sensing informatics, developing deep-learning solutions for object detection, domain adaptation, and energy-infrastructure mapping from overhead imagery. Recent Grant Portfolio: Empagliflozin to Improve Right Ventricular Function in Pulmonary Arterial Hypertension – Cleveland Clinic Lerner College of Medicine (2025-2030) Gender and Asthma – Mayo Clinic Hospital-Arizona (2025-2027) Engaging Patients in Prenatal Genetic Testing Decisions – Cleveland Clinic Lerner College of Medicine (2025-2027) Laboratory & Collaborative Networks: Professor Hu leads interdisciplinary teams that bridge Duke’s Department of Biostatistics & Bioinformatics with clinical departments (Neurosurgery, Psychiatry, Medicine) and external partners such as Cleveland Clinic, Mayo Clinic, and multiple NIH consortia. These collaborations support large-scale clinical trials, multi-omics neuroimaging studies, and AI-driven remote-sensing analytics.

• Social Psychology
• Energy Citizenship
• Sustainable Behavior
• +5 more

Univ.-Prof. Katja Corcoran serves as Professor of Psychology and Vice Dean for Research at the University of Graz's Faculty of Natural Sciences, leading the Institute of Psychology. She directs the university's 'Smart Regulation' profile area and participates in the 'Brain and behavior' research network, with leadership roles including former Head of Psychology Institute (2017-2019) and Deputy Head of Doctoral School of Psychology (2021-2023). Her research centers on social psychological mechanisms in sustainability transitions, particularly: Energy citizenship frameworks and prosumer behavior Goal contagion dynamics in social networks Intergroup contact interventions in educational settings Regulatory psychology for sustainable systems Recent publications (2023-2025) demonstrate interdisciplinary integration of psychological, legal, and economic perspectives, featuring field experiments across Austria and multi-lab European collaborations examining energy citizenship scales, behavioral nudges for appliance usage, and prejudice reduction in schools. Honors include: Feodor Lynen Research Fellowship (Alexander von Humboldt Foundation, 2004) She currently directs major funded initiatives: EU: 'Energy Citizenship and Energy Communities for Clean-Energy Transition' (2021-2024) FFG: 'FIWARE Driven Energy Communities for the Future' (2023-2026) International: 'Active User Participation for Smart Energy Services' (2020-2023) Corcoran serves on editorial boards of Social Psychology (since 2016) and Social Cognition (since 2013), and her work operates within the 'Brain and behavior' network fostering neuroscience-psychology-economics collaborations for complex decision-making research.

Sangmin ShinView profile

Assistant Professor

• Water Resources Engineering
• Integrated Water Resources Management
• Critical Infrastructure Modeling
• +6 more

Sangmin Shin is an Assistant Professor in the Department of Civil Engineering at the Southern Illinois University College of Engineering. His research focuses on integrated water resources management, critical interdependent infrastructure modeling, water cyber-physical-social systems, artificial intelligence applications, urban water sustainability and resilience, socio-environmental hydrology, multi-objective optimization, and systems analysis. PhD: Civil and Environmental Engineering, University of Utah (2016-2020) MS: Civil and Environmental Engineering, Korea Advanced Institute of Science and Technology (KAIST) (2008) BS: Civil Engineering, Pusan National University (2006) Shin leads the SciWater Lab, which investigates smart and connected infrastructure for water systems under uncertainty. Key strategies include: increasing infrastructure variety, building cyber-physical-social networks, and integrating feedback interactions between critical systems. The lab aims to transform water infrastructure through interdisciplinary approaches involving communities, engineers, and policymakers. His research portfolio demonstrates trends in: climate change adaptation (14% of publications), infrastructure resilience (22%), AI applications (18%), socio-hydrology (12%), and systems thinking (16%). Notable methodologies include system dynamics modeling, modern portfolio theory, and cyber-physical attack simulations. Postdoc Travel Assistance Award (University of Utah, 2019) Best Paper Presentation Award (Korean Society of Disaster & Security, 2015) Contact: Engineering B, Room 34, 1230 Lincoln Drive, Carbondale, IL 62918, USA | Phone: 618-453-3325 | Email: sangmin.shin@siu.edu

Sebastian SteinView profile

Professor

• Citizen-Centric Artificial Intelligence Systems
• Multi-Agent Systems
• Mechanism Design
• +7 more

Professor Sebastian Stein is a faculty member in the Electronics and Computer Science department at the University of Southampton, specializing in artificial intelligence and multi-agent systems. He holds a PhD from the University of Southampton (2008) and an MEng in Computer Science from the University of Warwick. His research focuses on citizen-centric AI, mechanism design, and applications in smart energy, transportation, and disaster response. He leads or collaborates on projects such as the EPSRC-funded 'Citizen-Centric Artificial Intelligence Systems' and 'Future Electric Vehicle Energy networks supporting Renewables (FEVER)'. Education: PhD in Multi-Agent Systems (University of Southampton, 2008), MEng Computer Science (University of Warwick) Research Groups: Agents, Interaction and Complexity research group His work emphasizes incentive engineering in dynamic systems, sequential decision-making under uncertainty, and societal challenges like smart mobility and electric vehicle infrastructure. Key awards include the Blue Sky Ideas Award (AAMAS-2021) and Best Demonstration Award (AAMAS 2025). He currently supervises multiple PhD students in computer science and engineering.

Fajar Juang EkaputraView profile

Academic

• Semantic Web
• Knowledge Graphs
• Neurosymbolic AI
• +4 more

Fajar Juang Ekaputra is a Tenure Track Assistant Professor at the Institute of Data, Process, and Knowledge Management (DPKM), WU Vienna and a part-time Postdoctoral Researcher at the Data Science research unit, TU Wien . With a focus on Semantic Web , Knowledge Graphs , and their integration with Machine Learning in Neurosymbolic AI systems, his work spans domains like Cyber-Physical Systems and Materials Engineering . Education: Dr.techn. (2018), TU Wien M.T. (2010) and S.T. (2008), Institute Teknologi Bandung (ITB) Research Interests center on hybrid AI systems combining Semantic Web and Machine Learning , with applications in Cyber-Physical Systems (e.g., smart grids, smart buildings), data privacy in smart cities, and materials engineering . His 102+ publications include frameworks like SWeMLS-KG and SHACL4Protege . Recent Articles (2024) address explainable AI in cyber-physical systems, privacy trust in data infrastructures, and neurosymbolic frameworks . Earlier works (2023–2022) explore ontology-based data management , auditable AI , and hybrid system architectures . Scientific Awards: Best Paper Awards (ICoDSE 2023, ICoDSE 2016) Best Poster Nomination (SEMANTiCS 2019) PhD Scholarship (Austria’s Agency for Education and Internationalisation, 2012) Advising includes supervising PhD students (e.g., Majlinda Llugiqi, Katrin Schreiberhuber) and master’s theses on topics like knowledge graph characteristics and data quality assessment . He leads projects such as FAIR-AI (FFG-funded, 2024–2026) and SENSE (Horizon Europe, 2023–2025).

Andreas K AthienitisView profile

Professor

• Solar Energy Engineering
• Energy Efficiency
• Building Simulation and Optimization
• +6 more

Andreas K Athienitis is a Professor at Concordia University in the Department of Building, Civil, and Environmental Engineering. He serves as Director of the Centre for Zero Energy Building Studies and has held prestigious roles including NSERC/Hydro Québec Industrial Research Chair (2006-2024) and Scientific Director of two NSERC strategic networks. Education: Ph.D. in Mechanical Engineering (University of Waterloo, 1985), B.Sc. in Mechanical Engineering (University of New Brunswick, 1981) Honors: Fellow of the Canadian Academy of Engineering, ASHRAE, and IBPSA His research focuses on energy-efficient buildings, solar energy integration, and predictive control systems. Key projects include Canada’s first net-zero energy institutional building (Varennes Library) and innovative BIPV/T systems. He has developed internationally unique facilities like the Solar Simulator and Environmental Chamber. Recent publications emphasize energy flexibility, predictive control, and renewable integration. His work bridges theoretical modeling with experimental validation, targeting climate resilience and decarbonization. Scientific Awards: Concordia Research Award (2010) NSERC-ADRIQ Celebrate Partnerships Award (2012) Willis H. Carrier Best Paper Award (1991) Multiple Fellowships and Scholarships Grants: Over $30M as P.I., including $123M CFREF grant (2022-2023)

Pragasen PillayView profile

Professor

• Electric Machines and Drives
• Electric Vehicles
• Renewable Energy
• +3 more

Pragasen Pillay is a Professor of Electrical and Computer Engineering at Concordia University and holds the Concordia University Research Chair in the same field. His research focuses on electric machines and drives, electric vehicles, and renewable energy systems. He leads advanced studies in variable flux motors, soft magnetic composite materials, and power hardware-in-the-loop (PHIL) emulation for fault diagnosis. Education: PhD from Virginia Polytechnic Institute (1987), MSc and B.Eng from University of Kwa-Zulu Natal (1983 and 1981). Research emphasizes electric vehicle drivetrain design, renewable energy integration, and high-efficiency motor development. Notable contributions include work on rare-earth-free magnets, torque pulsation reduction, and thermal modeling of electric machines. His lab facilities include a 200 hp dynamometer and solar power electronics systems for the Future Building Laboratory. Publications span over 30 years, with recent focus on PHIL-based fault emulation, variable flux motor topologies, and SMC material applications. His work bridges theoretical analysis with experimental validation, addressing challenges in both academic and industrial settings.