جست‌وجوی استاد و پژوهشگر

David Allinsonمشاهده پروفایل

استاد

• Building Physics
• Energy Efficiency
• Sustainable Building Design
• +۵ مورد دیگر

Professor David Allinson leads the Building Energy Research Group (BERG) at Loughborough University, focusing on transforming building performance for a zero-carbon future. He holds a BEng (Hons), MSc (Eng), PhD, and PGCAP, and is a Fellow of the Higher Education Academy (FHEA). His work integrates measurement and modeling to evaluate energy efficiency, thermal performance, and moisture management in buildings. Key projects include developing the Standard Assessment Procedure (SAP) 11 and evaluating technologies like SMETER through large-scale field trials. Research emphasizes test houses with synthetic occupants, the Loughborough Hygrothermal Test Facility, and post-occupancy evaluations. Completed doctoral researchers include studies on zonal heating controls, energy flexibility in buildings, and community energy schemes. His expertise spans ventilation optimization, hygrothermal simulation, and policy-driven energy feedback systems. Notable projects include the EPSRC-funded Active Buildings Centre and SCENe (Sustainable Community Energy Networks), alongside Innovate UK initiatives. He collaborates internationally through IEA EBC Annex71 and advises on retrofitting strategies for solid wall dwellings. His work bridges academic research with practical solutions for decarbonizing the built environment.

Ghigliotti Giovanniمشاهده پروفایل

مدرس

• Multiphase Fluid Dynamics
• Numerical Simulation
• Heat Transfer
• +۳ مورد دیگر

Giovanni Ghigliotti is a Lecturer and researcher at the University of Grenoble Alpes since 2014, affiliated with the LEGI laboratory (UMR 5519). He is part of the MOST team, specializing in Turbulence Modeling and Simulation. His research focuses on multiphase fluid dynamics, particularly phase-change phenomena like boiling and cavitation, with an emphasis on numerical simulation to study hydrodynamic interactions, wetting, and material deformation. He holds a PhD in Fluid Mechanics from Joseph-Fourier University (2010). His work spans cavitation erosion mechanisms, fluid-structure interaction modeling, and heat transfer in multiphase systems. He contributes to the development of the Yales2 code, a parallel numerical simulation tool for complex flows. In teaching, he leads the Energy pathway of the Master's program in Process Engineering at Grenoble Alpes, instructing fluid mechanics, numerical methods, and thermodynamics. His research also involves collaborations with the GIS SUCCESS group, advancing high-performance computing and turbulence modeling. Key research themes include: Boiling crisis dynamics and thermal insulation effects Cavitation bubble collapse and material erosion Centrifugal microencapsulation process analysis Fluid-structure interaction in multiphase flows Unstructured grid simulations for phase change phenomena His recent publications (2024-2019) demonstrate expertise in non-Newtonian fluid simulation, cavitation erosion mechanics, and advanced computational methods for multiphase systems.

Cristina Archerمشاهده پروفایل

استاد

• Renewable Energy
• Wind Power
• Meteorology
• +۳ مورد دیگر

Cristina L. Archer is a Professor and Unidel Howard Cosgrove Career Development Chair in Environment at the University of Delaware. She holds a split appointment between the Department of Geography and Spatial Sciences and the Department of Mechanical Engineering. Her roles include Director of the Center for Research in Wind (CReW) and Faculty Director of the Eco-Entrepreneurship certificate program. She earned her Ph.D. in Civil and Environmental Engineering from Stanford University (2004), an M.S. in Meteorology from San Jose State University (1998), and an M.S. in Civil and Environmental Engineering from Politecnico di Milano (1995). Her research focuses on renewable energy, wind power, meteorology, climate change, air quality, and numerical modeling of atmospheric processes. She leads the Atmosphere and Energy Research Group (AERG), advising numerous PhD students and postdocs. Her work explores wind energy impacts on climate, air quality, and hurricane dynamics, with contributions to wind farm optimization and energy-food nexus studies. Dr. Archer’s research has been published in journals like *Monthly Weather Review*, *Environmental Research Letters*, and *Applied Energy*. She serves on editorial boards for *Meteorological Applications* and *Bulletin of the Atmospheric Science and Technology*. Her lab, CReW, investigates technical, environmental, and policy dimensions of wind energy deployment. Grants & Funding: Extensive support for wind energy research, including studies on offshore wind impacts, hurricane mitigation via turbines, and climate modeling. Labs/Teams: Center for Research in Wind (CReW), Atmosphere and Energy Research Group (AERG). Advising: Mentored over 20 graduate students and postdocs since 2012, with notable contributions to wind farm modeling, air quality, and energy policy.

Aoife Brophyمشاهده پروفایل

مدرس

• Sustainable Development
• Climate Change
• Business Model Innovation
• +۳ مورد دیگر

Aoife Brophy is a Departmental Research Lecturer in Innovation and Enterprise at Saïd Business School, University of Oxford, with a joint appointment at the Smith School of Enterprise and the Environment. She leads the business model workstream at CO2RE and is Co-Investigator at Oxford Net Zero, focusing on climate action and sustainable development. Her research emphasizes systemic environmental challenges, sustainable business models, and policy mixes for off-grid energy in sub-Saharan Africa. She co-founded the Sustainable and Inclusive Innovation Africa initiative, supporting startups across the continent. Education: PhD from Judge Business School (University of Cambridge), MA from Johns Hopkins SAIS, BA from Trinity College Dublin. Teaching roles include the MBA program, MSc in Sustainability, Enterprise and the Environment, and executive education via the Oxford Climate Emergency Programme. Research interests span sustainable entrepreneurship, climate policy, and innovation ecosystems. Recent engagement includes webinars on green recovery, podcast discussions with Al Gore, and stakeholder workshops in Uganda/Zambia. She has contributed to projects like RISE (2018-2020), focusing on renewable energy scalability. Labs/Teams: Oxford Net Zero, CO2RE, Sustainable and Inclusive Innovation Africa initiative. No scientific awards listed. Advising/Grants: Leads CO2RE business model initiatives and RISE project. No formal student advisees listed.

Danica Djuric Ilicمشاهده پروفایل

دانشیار

• Energy Systems
• Renewable Energy Integration
• Sustainable Heating Solutions
• +۳ مورد دیگر

Danica Djuric Ilic is an Associate Professor at Linköping University's Department of Management and Engineering (IEI), affiliated with the Energy Systems (ENSYS) research division. Her work focuses on enhancing energy system resilience and sustainability through interdisciplinary approaches. She specializes in integrating renewable energy sources, optimizing district heating systems, and exploring industrial flexibility to support decarbonization. Her research emphasizes collaborative solutions between industry, utilities, and the power sector to maximize renewable energy utilization. Recent projects include analyzing incentives for flexible industrial operations and advancing backcasting methodologies for sustainable energy transitions. Dr. Ilic also contributes to educational programs at Linköping University, fostering innovation in energy systems and management. Key research themes include energy storage optimization, smart grid technologies, and policy-driven decarbonization strategies. Her work bridges technical, economic, and social dimensions of energy systems, aiming to create climate-resilient infrastructure solutions.

• human-centered ai
• psychology of technology
• machine learning
• +۵ مورد دیگر

Chao Zhang is an Assistant Professor in Human-Centered AI at the Human-Technology Interaction group, Eindhoven University of Technology. His research bridges psychology and technology through data-driven methods and psychological theories, focusing on behavior change, AI-human dynamics, and trustworthy systems. MSc in Human-Technology Interaction (TU/e) PhD in Intelligent Systems (TU/e, 2019) Postdoc at Utrecht University Research interests span Human-Centered AI , Explainable AI , and Behavioral Data Science . Key contributions include: Integrating psychological principles with machine learning Modeling longitudinal behavioral data Developing interpretable AI systems for lifestyle interventions Investigating social characteristics in AI-driven environments Current work includes the ENFIELD project on Trustworthy Green AI. Scientific contributions appear in CHI Conference , arXiv , and International Journal of Social Robotics . Recognized with a TU/e PhD Thesis Award nomination in 2021.

George Xydisمشاهده پروفایل

استاد

• Wind resource assessment
• Energy resources optimization
• Energy policy
• +۱۲ مورد دیگر

George Xydis is a Professor at the University of the Peloponnese, Department of Mechanical Engineering, and also holds a position at Aarhus University in Denmark. He previously served as an Associate Professor at Aarhus University from February 2017 until becoming a Full Professor in January 2023. His academic career spans multiple institutions across Europe and includes significant industry experience in the renewable energy sector. Dr. Xydis's research focuses on wind resource assessment, energy planning, techno-economics of renewable energy systems, and the energy-food nexus. His work bridges engineering, policy, and economics, with particular emphasis on practical applications of renewable energy technologies. He has developed more than 1700 MW of renewable energy projects, primarily wind, giving him extensive field experience that informs his academic work. His publication record shows a strong trend toward interdisciplinary research connecting renewable energy with environmental concerns, grid integration challenges, and novel applications like vertical farming and power-to-X technologies. Recent work demonstrates increasing focus on EU energy transition challenges, circular economy approaches, and the integration of multiple renewable technologies in complex systems. Dr. Xydis serves as Co-Editor in Chief of 'Cambridge Prisms: Energy Transitions' and as Associate Editor for several prominent energy journals. He leads multiple EU-funded research projects including TETHYS, JUSTGREEN, and JustWind4All, demonstrating his leadership in European energy research initiatives. He has supervised several PhD students working on topics including AI-based bird collision avoidance at wind farms, small-scale hydroponic systems, and portable hydrogen production systems. His research funding portfolio includes significant grants from Horizon Europe, Nordforsk, and other major European funding bodies.

Nadia Bloemendaalمشاهده پروفایل

استادیار

• Tropical Cyclones
• Climate Change
• Risk Assessment
• +۴ مورد دیگر

Nadia Bloemendaal is an Assistant Professor at the Institute for Environmental Studies (IVM), Vrije Universiteit Amsterdam (VU), and a climate researcher at the Royal Netherlands Meteorological Institute (KNMI). Her work focuses on tropical cyclone risk under climate change, synthetic modeling, and hazard assessments. She holds a PhD from VU (2021, Cum Laude) and conducted postdoctoral research at IVM and Columbia University's Lamont-Doherty Earth Observatory. Education : 2016: Master in Meteorology, Physical Oceanography, and Climate (Utrecht University) 2014: Minor in Geo Data Processing (ITC) 2014: Bachelor in Applied Mathematics (University of Twente) Research Interests : Tropical cyclone dynamics, climate change impacts, synthetic storm modeling (e.g., STORM), risk assessment frameworks, and coastal hazard analysis. Her STORM model generates synthetic tropical cyclone tracks to assess global-scale risk probabilities. Awards : Arne Richter Award for Early Career Scientists (2024) 2nd Place Lloyd's Science of Risk Prize (2021) 3rd Place Allianz Climate Risk Research Award (2020) Dutch Data Prize 2020 (2020) Grants & Advising : Principal Investigator: Quantification of Climate Change Scenario Risk (2022–2023) Project Researcher: Human Behavior in Flood Risk Models (2014–2022) Teaches courses on climate hydrology and mathematics for environmental studies. Labs & Datasets : Creator of the STORM dataset (synthetic cyclone tracks) and COAST-RP (storm tide return periods). Collaborates globally on climate change impact studies.

• Biomedical Engineering
• Mechanical Measurements
• Energy Storage Systems
• +۴ مورد دیگر

Emanuele Rizzuto is an Associate Professor in the Department of Mechanical and Aerospace Engineering at Sapienza University of Rome. His research focuses on biomedical and industrial applications, including biomechanical measurements of muscle tissues, neuromuscular junction functionality, and energy storage systems. He leads initiatives such as the Rome Technopole 'Advanced Materials and Systems' and has secured significant grants for projects like NEST and SELFIE-CHECK. Rizzuto teaches courses in mechanical measurements, clinical diagnostics, and energy engineering. His editorial roles include guest editorships for journals like Energies and Sensors . Recent work includes innovations in hydrogen production, battery efficiency, and optical sensors for biomedical applications. Education : Industrial Engineering qualifications and National Scientific Qualification as Full Professor (2019). Research Interests : Biomedical engineering (muscle repair, neurodegenerative diseases), energy storage, and smart materials for heritage preservation. Grants : Over €500k in recent funding for energy storage, biomaterials, and ALS research. Labs/Teams : Open Lab Rome Technopole, involvement in interdisciplinary projects like CALAMITY and Counteracting neuromuscular junction dismantlement.

• Civil Engineering
• Computational Fluid Dynamics
• Porous Media Flow
• +۳ مورد دیگر

Dr. Luka Malenica is a dedicated researcher at ETH Zurich's Professorship for Durability of Engineering Materials, focusing on computational modeling of material degradation processes in civil infrastructure. His work bridges theoretical numerical methods with practical engineering applications through direct involvement in the department's research operations. His research program centers on multiphase flow in porous media , corrosion mechanisms in reinforced concrete , and advanced numerical techniques . He employs pore-scale direct numerical simulations to investigate steel-concrete interface phenomena, developing predictive models for infrastructure durability. His methodological innovations include control volume isogeometric analysis, adaptive multiresolution modeling, and deep learning applications for adaptive meshing—addressing challenges in heterogeneous media flow and transport phenomena. Analysis of his 15 most recent publications reveals a consistent research trajectory since 2015, with accelerating output in corrosion science (5 papers in 2024-2025) and computational methods (7 papers 2019-2022). Key interdisciplinary connections span civil engineering (corrosion in reinforced concrete), chemical engineering (bubble column reactors), and hydrology (karst aquifer modeling), unified by his expertise in numerical simulation of transport phenomena. Recent work demonstrates increasing sophistication in modeling macrovoid formation at steel-concrete interfaces and capillary-driven multiphase systems.

François Bouffardمشاهده پروفایل

دانشیار

• Power Engineering
• Smart Grids
• Systems and Control
• +۳ مورد دیگر

François Bouffard is an Associate Professor at McGill University's Faculty of Engineering, specializing in Power Engineering and Systems Control. He holds the William Dawson Scholar title and serves as Associate Chair (Undergraduate Affairs). His research focuses on smart grids, renewable energy integration, and advanced control systems. Research interests include optimizing power systems through data-driven methods, demand response mechanisms, and energy storage solutions. He contributes to projects like the Group for Research in Decision Analysis (GERAD), emphasizing sustainable energy systems and grid resilience. Recent work explores flexibility in smart grid architectures, cold load management, and multi-agent reinforcement learning for energy systems. His publications highlight optimization techniques, stochastic modeling, and machine learning applications in energy control. Awarded the William Dawson Scholar distinction, his work bridges theoretical advancements with practical grid operations. He collaborates on interdisciplinary projects addressing energy transition challenges, such as hybrid storage systems and distributed energy resource coordination.

• Machine Learning
• Deep Learning
• Internet of Things (IoT)
• +۵ مورد دیگر

Shahid Awan is a Lecturer at the School of Computing, Engineering and Physical Sciences. He holds a Ph.D. in Computer Science, specializing in Machine Learning, with a focus on applying intelligent systems to United Nations Sustainable Development Goals (UNSDGs), particularly in circular economy, IoT-enabled smart agriculture, and health informatics. His work emphasizes innovation, as seen in projects like 'Cricket Video Scene Categorisation' (Rector’s Award for Innovation, 2018) and predictive models for electric demand and dengue fever spread. Education: Ph.D. in Computer Science. Professional Development: Completed the 'Innovation Strategy Course' by KTN UK and 'Leadership and Management Training Modules' from Ashorne Hill Management College, UK. Research Interests: Machine Learning applications, Deep Learning, IoT, and Data Science in healthcare, sustainability, and smart systems. His publications highlight contributions to blockchain security, medical imaging analysis, and education technology. Notable Projects: Led projects on electric demand forecasting (collaborating with National Grid) and dengue fever prediction (health department). Founded the circular economy startup Circulayo, focusing on innovation strategy. Scientific Awards: Rector’s Award for Innovation (2018). Advising and Grants: Accepting PhD students and secured funding for startups like 'Electrical Demand Forecasting' through Silicon Valley pitches. Collaborates with industry partners like Crickingif and the National Grid. Labs/Teams: Active in interdisciplinary teams addressing SDGs through tech solutions, though no specific lab names are provided.

• Structural Biomechanics
• Musculoskeletal Modeling
• Finite Element Analysis
• +۳ مورد دیگر

Andrew Phillips is a Professor in Structural Biomechanics at Imperial College London's Department of Civil and Environmental Engineering within the Faculty of Engineering. He leads the Structural Biomechanics Group and coordinates the MEng Civil Engineering degree program. His research focuses on musculoskeletal modeling, finite element analysis, and bioinspired structures. Phillips holds a PhD from the University of Edinburgh (2005) and an MEd from Imperial College (2014). Key affiliations include the Additive Manufacturing Network, Centre for Blast Injury Studies, and Musculoskeletal Medical Engineering Centre. His work integrates computational methods with biomechanical principles, addressing topics like bone adaptation, trauma injury effects, and wearable sensor technologies. Notable contributions include developing motoneuron-driven muscle models and synthetic motion capture datasets via generative adversarial networks (GANs). Phillips also organizes the Parametric Engineering Course with Arup and SimplyRhino. Recent publications emphasize bone health in amputees, neural drive estimation, and energy-absorbing metamaterials. His 2018 European Society of Biomechanics SM Perren Award recognizes outstanding contributions to hip dysplasia biomechanics. Research trends highlight interdisciplinary approaches merging machine learning with traditional biomechanics to solve clinical and engineering challenges.

Bruno Sinopoliمشاهده پروفایل

استاد

• Cyber-Physical Systems (CPS)
• Networked Control Systems
• Smart Infrastructures
• +۷ مورد دیگر

Bruno Sinopoli is a Professor in the Electrical and Computer Engineering Department at Carnegie Mellon University, with courtesy appointments in the Robotics Institute and Mechanical Engineering Department. He holds affiliations with ICES, CyLab, and the Pittsburgh Digital Studio (PDL), and co-directs the Smart Infrastructure Institute (SII). His research focuses on cyber-physical systems, networked control systems, and resilient infrastructure, addressing challenges in smart grids, wireless sensor networks, and cybersecurity. Education: Ph.D. (2005), M.S. (2003), and Laurea (1998) in Electrical Engineering from UC Berkeley, Università di Padova, and University of California, Berkeley, respectively. Notable awards include the George Tallman Ladd Research Award (2010), NSF Career Award (2010), and Eliahu Jury Award (2006). Research Interests include networked embedded control systems, cybersecurity for critical infrastructure, and smart city technologies. He has led projects funded by NSF, NIST, and industry, such as a $3.2M NIST grant for first responder communication systems and NSF CRISP grants for infrastructure resilience. Key contributions include frameworks for secure control systems, resilient sensor networks, and adaptive video streaming algorithms. His work bridges theoretical control systems with practical applications in energy, transportation, and urban infrastructure. Students supervised include doctoral candidates like Dragana Bajovic (A.G. Milnes Award winner) and Yilin Mo, as well as master’s students in localization and control systems. Active collaborations span robotics, mechanical engineering, and interdisciplinary initiatives in smart infrastructure.

Burcu Akinciمشاهده پروفایل

استاد

• Construction Engineering and Management
• Building Information Modeling (BIM)
• Infrastructure Systems
• +۵ مورد دیگر

Dr. Burcu Akinci is the Paul Christiano Professor and Department Head of Civil and Environmental Engineering at Carnegie Mellon University (CMU), with a courtesy appointment in Electrical and Computer Engineering. She holds a BS from Middle East Technical University, an MBA from Bilkent University, and MS/PhD from Stanford University. Her research focuses on integrating BIM with 3D imaging/sensor data to create digital twins for construction and infrastructure management, emphasizing predictive operations and fault diagnosis in HVAC systems. She has secured over $16M in grants, authored 70+ journal papers, and pioneered methodologies for as-built BIM generation and infrastructure monitoring. Education : PhD 2000 - Stanford University (Civil & Environmental Engineering) MS 1995 - Stanford University MBA 1993 - Bilkent University BS 1991 - Middle East Technical University Research Interests : Dr. Akinci develops technologies to streamline construction and infrastructure operations through digital twins. Key areas include: BIM integration with IoT/sensor networks 3D imaging for asset management Fault detection in HVAC systems Autonomous environmental control for space habitats Predictive maintenance using AI Grants & Patents : $6M+ PI grants, $10M+ co-PI grants (federal/state/industry) 2 patents issued, 1 provisional patent Labs & Teams : Active in the Scott Institute for Energy Innovation, leading projects on smart buildings and infrastructure resilience.