جست‌وجوی استاد و پژوهشگر

• Architectural Conservation
• Building Science
• Energy Efficiency
• +۷ مورد دیگر

Dr. Michael Gutland is a Lecturer in Environmental Performance of Historic Buildings at University College London (UCL), affiliated with The Bartlett Faculty of the Built Environment and the Bartlett School of Environment, Energy & Resources. With a background in carpentry and construction, he holds a PhD in Civil Engineering from Carleton University and completed postdoctoral research at the University of Victoria. His work focuses on balancing heritage preservation with sustainability challenges like climate adaptation, energy efficiency, and structural safety in historic buildings. Education: PhD in Civil Engineering, Carleton University Undergraduate Degree in Architectural Conservation and Sustainability Engineering, Carleton University Postdoctoral Researcher, University of Victoria (Rebuild Initiative) Research Interests: Hygrothermal risks in building envelope interventions, socioeconomic barriers to retrofitting, data-driven tools for retrofit decision-making, and deep retrofits of heritage structures. His work emphasizes practical solutions that preserve heritage values while addressing modern demands such as energy reduction and climate resilience. Teaching and Engagement: Develops curricula on heritage engineering and sustainable retrofits, including a special topics course at the University of Victoria and contributions to UCL’s Sustainable Built Environments, Energy and Resources (SBEER) program. Active in initiatives like the Association of Preservation Technology’s Student Design-Build Competition. Key Projects: Rehabilitation of Ottawa’s Parliament Buildings, analysis of retrofit adoption barriers using machine learning, and collaborations with industry partners to improve retrofit guidance for building owners.

Vasilis Souliosمشاهده پروفایل

پژوهشگر

• Building Renovation
• Energy Efficiency
• Sustainable Building Envelopes
• +۳ مورد دیگر

Vasilis Soulios is a post-doc researcher in Building Performance at Eindhoven University of Technology (TU/e), specializing in energy-efficient building renovation. His work focuses on optimizing internal insulation techniques through hydrophobization of masonry walls, addressing climate adaptation and energy transition challenges. He holds a PhD in Civil Engineering from AAU Copenhagen, with prior roles including EU Project Manager for green energy initiatives. Academic Background: PhD from AAU Copenhagen (2017-2021), part of the RIBuild Horizon 2020 project, collaborating with 10 European partners. Previously at KU Leuven as a Research Engineer. Currently involved in the 'Renovation Explorer' project to strategize sustainable building renovations in the Netherlands. Research Interests: Sustainable building envelopes, internal insulation optimization, hygrothermal performance, and integration of renewable energy sources. His work aligns with UN SDGs for climate action and sustainable cities. Key Projects: Renovatieverkenner (2022-2026), MMIP Integrale Energietransitie Bestaande Bouw (2019-2025). Outputs include guidelines for historic building insulation and dynamic modeling frameworks for renovation strategies.

• Aerodynamics
• Fluid Dynamics
• Building-Integrated Photovoltaics
• +۳ مورد دیگر

Dr. Hamid Montazeri is an Assistant Professor in the Department of the Built Environment at Eindhoven University of Technology (TU/e) , Netherlands. He joined TU/e in 2020 and completed his PhD in Building Physics and Wind Engineering at the same institution in 2015. Prior to his current role, he held postdoctoral fellowships from the Research Foundation Flanders (FWO) in 2015 and 2018, focusing on convective heat transfer in turbulent boundary layers and building-integrated photovoltaics at KU Leuven (Belgium). Dr. Montazeri's research expertise includes aerodynamics and fluid dynamics applied to buildings , urban wind energy systems , and renewable energy solutions . He develops advanced multi-scale multi-physics models using computational fluid dynamics (CFD) and machine learning to enhance building energy efficiency and sustainable urban design. His work contributes to UN Sustainable Development Goals related to affordable and clean energy (SDG7) and sustainable cities (SDG11). He has received several accolades, including the Best PhD/Postdoc Award (2015) and Best PhD Supervision Team Award (2016) from TU/e's Department of the Built Environment. His 2017 paper was ranked among the top-cited in Building & Environment for 2012-2017. He serves on the editorial boards of Energy , Renewable Energy , and Journal of Wind Engineering and Industrial Aerodynamics , among others. His educational background includes a MSc in Mechanical Engineering (2006) and PhD in Building Physics and Wind Engineering (2015) , both from TU/e. He has supervised 16 research projects and actively collaborates on urban microclimate studies, wind energy harvesting, and building-integrated photovoltaic systems.

Jaap Boterمشاهده پروفایل

دانشیار

• Geodemographics
• Retail Innovation
• Location Planning
• +۴ مورد دیگر

Prof. Jaap Boter is an Associate Professor at the Department of Marketing, School of Business and Economics, Vrije Universiteit Amsterdam. He holds the Royal Booksellers Association chair at the University of Amsterdam. With a background in Musicology (MA, Utrecht University), he transitioned to marketing research, focusing on geodemographics, retail innovation, and GIS applications. His work bridges cultural economics, logistics, and spatial data analysis. Education: MA in Musicology (Utrecht University), PhD in Marketing (VU Amsterdam). Research highlights include the Geomarketing Knowledge Center and studies on urban energy transitions, healthcare markets, and film distribution history. He teaches GeoMarketing and leads the MSc Marketing program. Key projects include 'Cross Chain Order Fulfillment' and 'Sustainable Netherlands via Digital Tools'. Awards include a 2008 Best Paper Award for cultural organization valuation research. Ancillary roles include board positions at EduGIS and the Royal Booksellers chair. Research spans energy policy, healthcare competition, and e-commerce logistics, with a focus on data-driven solutions. Datasets include energy labeling models and child energy plans. Collaborations emphasize interdisciplinary approaches to urban and cultural challenges.

Rishee Jainمشاهده پروفایل

دانشیار

• Urban Sustainability
• Building Energy Efficiency
• Data Analytics
• +۳ مورد دیگر

Rishee Jain is Associate Professor of Civil and Environmental Engineering at Stanford University. His research develops data-driven solutions for urban sustainability challenges at the intersection of civil engineering, data science, and social science. The Stanford Urban Informatics Lab focuses on: (1) Socio-spatial dynamics of commercial building energy use, (2) Data-driven urban building benchmarking, (3) Sustainability planning in built environments, (4) Coupled urban system dynamics using machine learning. Recent projects analyze agricultural expansion impacts on biodiversity and economic valuation in forest-agriculture landscapes. Publications demonstrate a strong focus on urban building energy modeling (UBEM), machine learning applications for sustainability, occupant behavior analytics, and equity dimensions of energy systems. Recent work increasingly incorporates generative AI, wearable sensors, and spatial justice frameworks.

Kasimir Forthمشاهده پروفایل

پژوهشگر

• Circular Engineering
• Sustainable Building Design
• Building Information Modeling (BIM)
• +۷ مورد دیگر

Kasimir Forth is a Researcher at ETH Zurich's Department of Civil, Environmental and Geomatic Engineering, affiliated with the Professorship for Circular Engineering for Architecture. He is completing his PhD at Technical University of Munich (TUM) on BIM-based semantic enrichment using Large Language Models under Prof. André Borrmann. His research focuses on automating environmental assessments for sustainable buildings using digital methods like BIM and LLMs, particularly in early design stages. Currently, he contributes to the SWIRCULAR project, developing automated Digital Product Passports via BIM. Education: B.Sc. in Engineering Science (TUM) M.Sc. in Energy-Efficient and Sustainable Building (TUM, Distinction) Research Interests: BIM integration in sustainability analysis AI-driven semantic enrichment for environmental metrics Disassembly potential and circular economy applications Automated material passport generation Professional Experience: Former Managing Director of TUM’s Leonhard Obermeyer Center (Digital Methods for Built Environment) Consultant at Drees & Sommer (Energy Design/Sustainable Building) Key Projects: SWIRCULAR (automated Digital Product Passports), BIM4EarlyLCA (uncertain LCA visualization). Labs/Teams: Active in ETH Zurich’s Circular Engineering group and TUM’s Computational Modeling & Simulation lab.

Law Wing Keung, Adrianمشاهده پروفایل

استاد

• Coastal Engineering
• Hydraulic Engineering
• Environmental Hydraulics
• +۵ مورد دیگر

Adrian Law Wing Keung is a Professor in the Department of Civil and Environmental Engineering at the National University of Singapore (NUS), serving since 2024. He holds a PhD and MSc from the University of California, Berkeley, specializing in coastal and hydraulic engineering, and a BEng (Civil) from the University of Hong Kong. His academic roles include Editor-in-Chief of the Journal of Hydro-environment Research and leadership in international committees like the IAHR/IWA Joint Committee on Marine Outfall Systems and ASEAN Hydroinformatics Data Centre. He has extensive consulting experience for water infrastructure projects and focuses on applying research to real-world solutions through his RDTA (Research-Development-Translation-Application) philosophy. Education: PhD in Civil and Environmental Engineering, University of California, Berkeley, USA (1991) MSc in Civil and Environmental Engineering, University of California, Berkeley, USA (1985) BEng (Civil Engineering), University of Hong Kong (1984) Research Interests: Coastal and hydraulic engineering, environmental hydraulics, remote sensing, data-driven process control, machine learning optimization in water systems, and coastal renewable energy. His work emphasizes translating fundamental research into practical applications, such as monitoring coastal environments under climate change and optimizing solar/wind energy systems. Awards: Top-2% Global Scientist by Stanford University (2023) Karl Emil Hilgard Hydraulic Prize (ASCE, 2014) UPS Foundation Visiting Professorship at Stanford (2001-2002) Wesley Horner Award (ASCE, 2000) Professional Activities: Council member of the International Association of Hydro-environment Engineering and Research, editorial board roles in technical journals, and advisory roles for major water infrastructure projects globally. His research outputs span 100+ peer-reviewed articles, with a focus on numerical modeling, remote sensing, and sustainable engineering solutions.

Andrzej Zarzyckiمشاهده پروفایل

دانشیار

• Architectural Design
• Building Information Modeling (BIM)
• Smart Building Technologies
• +۵ مورد دیگر

Andrzej Zarzycki is an Associate Professor at the NJ School of Architecture, New Jersey Institute of Technology (NJIT). He holds an M.S. in Architecture and Urbanism from MIT (1994), a Master of Architecture from Gdańsk University of Technology (1992), and completed a visiting program at the Royal Danish Academy of Fine Arts (1991). Dr. Zarzycki’s research focuses on integrating emerging technologies—such as BIM, augmented reality (AR), and AI—into architectural design and education. His work emphasizes smart building systems, digital design pedagogy, and computational tools for enhancing creativity and sustainability. He has been recognized with the 2019 NJIT Award for Excellence in Research and the 2015 CAADRIA Best Presentation Award. His teaching spans design studios, BIM-driven curriculum development, and courses on AR and smart technologies. Recent research explores AI’s role in creative processes, photogrammetry in historic preservation, and the synergy of data analytics with building systems. He advocates for maintaining human agency in technology-mediated design while advancing interdisciplinary approaches to architectural education and practice. Key contributions include over 35 publications on topics like smart building interfaces, parametric BIM, and the ethical implications of AI in design. His work bridges theory and practice, aiming to redefine architectural education through technology integration and innovative curricula.

Carlo Mora-Mongeمشاهده پروفایل

استاد

• E-commerce
• Supply Chain Management
• Business Analytics
• +۵ مورد دیگر

Dr. Carlo Mora-Monge serves as Professor and Associate Dean for Research in the College of Business at New Mexico State University, specializing in digital transformation of business operations. His research bridges information systems, supply chain management, and organizational behavior with global applications. His educational foundation includes: Ph.D. in Manufacturing Management & Engineering, University of Toledo (2007) M.Sc. in Manufacturing Management, University of Toledo (2003) B.Sc. in Industrial Engineering, Instituto Tecnologico de Costa Rica (1996) Research focuses on e-commerce adoption , supply chain integration , and business analytics with evolving emphasis from manufacturing technologies to contemporary issues like cybersecurity behavior and healthcare operations . His work consistently examines technology-organization-environment interactions across developed and developing economies. Recent publications (2023-2024) reveal expanding scope into climate-adaptive systems and cross-sector operational efficiency , demonstrating methodological evolution from empirical supply chain studies to longitudinal healthcare benchmarking and behavioral cybersecurity research. No scientific awards were documented in source materials. Grant leadership includes: SAP ERPsim faculty certification programs in Chile and Mexico (2014) training 40+ instructors Co-development of New Mexico's web-based high school economics curriculum (2005-2006) State-funded teacher training in technology-integrated economics education He directs enterprise system pedagogy initiatives including SAP ERP integration across business curricula, with recent focus on data-to-decision training frameworks for next-generation business analysts.

• Energy-Efficient Buildings
• Building Simulation
• Occupancy Modeling
• +۴ مورد دیگر

Abhinandana Boodi is a Researcher-Lecturer at CESI LINEACT, affiliated with the UBO/UMR CNRS 6027 IRDL. They hold a PhD in Energy-Efficient Buildings from the Université de Bretagne Occidentale (2021) and a Master's in Smart Grids and Smart Buildings from Grenoble INP – ENSE3 (2017). Their academic roles include teaching Thermodynamics, Electrical Circuits, and Applied Mathematics to engineering students and master’s programs. Research focuses on building simulation, energy management, and occupancy modeling, with applications in HVAC control, intelligent buildings, and artificial intelligence. Key projects involve hybrid dynamic modeling for energy autonomy and multi-objective optimization in nanogrid buildings. They supervise five PhD students exploring topics like energy autonomy, occupancy prediction, and indoor air quality in healthcare facilities. Publications (2018–2024) emphasize machine learning for occupancy prediction, thermal network models, and reinforcement learning in HVAC control. They are a member of CESI LINEACT and IRDL since 2017, contributing to collaborative research on smart energy systems.

• Electrical Engineering
• Energy Management
• Artificial Intelligence
• +۴ مورد دیگر

IHSANE Imane is a Researcher-Lecturer affiliated with CESI Saint-Nazaire Campus, France. They are part of the Engineering and Numerical Tools research team and hold a PhD in Electrical Engineering from Nantes University (2020). Their academic background includes a Master's in Electronics, Electrical Engineering, and Automation (University of Picardie Jules Verne, 2014) and a Bachelor's in Industrial Computing (Faculty of Science and Technology, Marrakech, 2012). Research interests focus on Electrical Engineering , Energy Management , and Smart City technologies. Key areas include demand response systems, electrical energy forecasting, and AI-driven optimization for residential and commercial energy consumption. They have supervised international master’s research projects at Polytech Nantes, including work on energy management systems in smart buildings. Publications span topics like multi-objective optimization for demand forecasting (2021), novel evaluation metrics for residential energy analysis (2018), and real-time appliance management models (2017). Their work emphasizes practical applications in smart grids and sustainable energy systems. No scientific awards are listed. Teaching activities include problem-based learning and project pedagogy across associate’s, bachelor’s, and master’s programs in engineering disciplines. They have designed educational content in renewable energy, industrial computing, and thermal systems.

• Energy Performance of Buildings
• Smart Building Systems
• Data Analysis & Sensor Fusion
• +۳ مورد دیگر

MICHENEAU Kevin is a Researcher-Lecturer at CESI LINEACT, affiliated with the Engineering and Numerical Tools Research team. His work spans both applied engineering and fundamental physics research. He holds a PhD in Particle Physics from the University of Nantes (2018) and a Master's in Subatomic Physics from the same institution (2014). His research focuses on energy performance optimization in smart buildings, intelligent building control systems, and data fusion techniques for occupancy modeling. Concurrently, he continues contributions to dark matter detection through advanced analysis of XENON experiment data. Education: PhD in Particle Physics, University of Nantes (2018) Master's in Subatomic Physics, University of Nantes (2014) Research Interests: Developing models for occupancy-aware energy systems Optimizing multi-objective control strategies for building HVAC systems Data-driven approaches for sensor fusion and anomaly detection Continued dark matter research via XENON collaboration experiments Recent Research Trends: Recent work demonstrates a strategic shift toward applied building systems research while maintaining expertise in particle physics. 2024's multi-objective MPC study represents his growing focus on practical energy efficiency solutions, while XENON1T/XENON100 analyses (2017-2019) highlight sustained contributions to dark matter detection methodologies. Grants & Advising: Supervising PhD candidate Adrien BOURGOIN (2023-2026) Laboratory Affiliations: Core member of CESI LINEACT's Engineering and Numerical Tools Research team, collaborating on smart building instrumentation and computational modeling projects.

Hani HAMDANمشاهده پروفایل

استاد

• Machine Learning
• Signal Processing
• Intelligent Communication
• +۵ مورد دیگر

Hani Hamdan is a Professor of Electrical Engineering and Computer Science at CentraleSupélec, part of Université Paris-Saclay. He holds a PhD from Université de Technologie de Compiègne and has held roles including Research Engineer at CETIM, Researcher at CNRS, and Assistant Professor at Sorbonne-Paris-Nord. His research focuses on machine learning, signal processing, robotics, and telecommunications, with contributions to biomedical engineering and sustainable technologies. He leads the COMEDY and MODESTY research groups within the L2S laboratory. Education: PhD in Systems and Information Technologies, Université de Technologie de Compiègne (2005) MSc in Industrial Control, Université Libanaise/UTC (2001) Engineering Diploma in Electricity & Electronics, Université Libanaise (2000) Research Interests: Machine learning for healthcare and environmental applications Signal processing in robotics and communication systems Intelligent communication networks (FSO, IoT security) Data-driven analysis of biomedical systems and civil infrastructure Key Contributions: Innovative clustering algorithms for big data (e.g., bin-EM-CEM) FSO communication system optimizations Robotics rehabilitation systems using ML-enhanced biomechanics Awards: Best Paper Award for Big Data clustering (2018) Outstanding conference organization award (DeSE 2017) CIFRE doctoral scholarship (2002-2005) Lab Affiliations: Laboratoire des signaux et systèmes (L2S), collaborating with CNRS and CentraleSupélec on interdisciplinary projects in signal processing and automated systems.

Giovanni Pernigottoمشاهده پروفایل

استاد

• Building Physics
• Energy Efficiency
• Climate Change Mitigation
• +۶ مورد دیگر

Giovanni Pernigotto is a Full Professor of Environmental Technical Physics at the Faculty of Engineering of the Free University of Bozen-Bolzano. He leads the Building Physics Research Group and focuses on energy efficiency, climate adaptation, and sustainable urban systems. His work integrates computational modeling, machine learning, and field experimentation to address challenges in building performance, renewable energy integration, and climate resilience. Key research areas include solar radiation prediction in mountain regions, energy optimization strategies for buildings, and urban heat island mitigation. He has pioneered studies on the CoolST project for South Tyrol’s climate adaptation and the Rescue Permafrost initiative in the Dolomites. His teaching includes courses on energy efficiency standards, building physics, and fire engineering applications. Publications span over 50 peer-reviewed articles, emphasizing data-driven approaches to energy systems, thermal comfort, and urban sustainability. Collaborations involve interdisciplinary teams and regional stakeholders to translate research into actionable policies and technologies. He is actively involved in the MDPI Energies Special Issue on building performance and contributes to the development of the Smart Readiness Indicator framework. His lab’s work bridges academic research with real-world applications in smart cities and climate change mitigation strategies.

• Decarbonization of Buildings and Cities
• Grid-Interactive Buildings
• Sustainable Built Environment
• +۳ مورد دیگر

Zhipeng Deng is an Assistant Professor in the Department of Mechanical and Aerospace Engineering at the University of Central Florida (UCF). He holds a B.Sc. from Shanghai Jiao Tong University and a Ph.D. from Purdue University. His research focuses on decarbonizing built environments, grid-interactive buildings, sustainable energy systems, computational fluid dynamics, and quantum computing applications in HVAC controls. Dr. Deng’s work integrates advanced technologies to enhance energy efficiency and indoor environmental quality while addressing climate challenges. Education: Bachelor’s Degree: Shanghai Jiao Tong University Ph.D.: Purdue University Research Interests: Dr. Deng’s interdisciplinary research spans decarbonization strategies for urban infrastructure, quantum computing for real-time building control systems, and optimizing indoor air quality using data-driven models. His studies also explore the impact of multi-domain factors (e.g., noise, air quality) on human productivity and physiological responses, with practical applications in smart HVAC systems and pandemic mitigation. Awards & Recognition: Syracuse COE Research Fellowship (2022) Outstanding Contribution in Reviewing Award (2019) Chun-Tsung Scholar Fellowship (2016) Advising & Grants: While no specific advisee names are listed, Dr. Deng’s publications reflect collaborative projects with students and colleagues. His research has been supported by grants focused on energy efficiency, quantum computing integration, and pandemic-related ventilation innovations. Labs & Collaborations: Dr. Deng collaborates with organizations like ASHRAE, ISIAQ, and ASME, advancing building science and sustainable engineering practices through interdisciplinary teams and cutting-edge methodologies.