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Benoit CombemaleView profile

Professor

• Software Engineering
• Model-Driven Engineering
• Software Language Engineering
• +7 more

Benoit Combemale is a Full Professor of Software Engineering at the University of Rennes , currently on leave as Research Director at Inria . He is affiliated with the DiverSE research team (joint between IRISA and Inria) and the SM@RT team at IRIT. He serves as Editor-in-Chief of the Springer-Nature journal Software and Systems Modeling (SoSyM) and holds leadership roles in academic conferences like ACM SIGPLAN Intl. Conference on Software Language Engineering and MODELS . Education : Habilitation (2015) and PhD (2008) in Software Engineering from University of Rennes and University of Toulouse, respectively. Research : Focuses on Model-Driven Engineering , Digital Twins , and ICT for Sustainability , with applications in cyber-physical systems, scientific computing, and industrial systems. Recent Publications highlight trends in digital twin modeling, energy-aware software engineering, polyglot programming, and formal verification for heterogeneous systems. His scientific awards include: Editor-in-Chief of SoSyM Steering Committee member of ACM SIGPLAN Intl. Conference on Software Language Engineering General Chair for ICT4S 2023 and MODELS 2016 PC Chair for MODELS 2024, ECMFA 2019, and SLE 2014 Coordinator of Dagstuhl Seminars and Bellairs workshops Advising includes 30+ students in topics ranging from digital twin engineering to software testing and language design. He leads the GEMOC Initiative and contributes to projects like SciHook and GEMOC Studio .

Johnson Xuesong ShenView profile

Associate Professor

• Digital Twins
• Building Information Modeling (BIM)
• Construction Automation
• +5 more

Dr. Johnson Xuesong Shen is an Associate Professor at the School of Civil and Environmental Engineering , University of New South Wales . His work integrates Digital Twins , Building Information Modeling (BIM) , and Construction Automation with a focus on robotics, AI, and LiDAR/UAS technologies. Research Interests: Digital Twins, BIM, Construction Robotics, Emissions Modeling, LiDAR/UAS, Structural Health Monitoring Education: Ph.D. in Construction Engineering and Management, The Hong Kong Polytechnic University His publications span 2025–2005, emphasizing construction automation , environmental impact reduction , and innovative tunneling solutions . Recent work includes IoT-Bayes fusion for real-time safety monitoring and life cycle analysis of construction waste. Scientific Awards: Vice Chancellor's Award for Teaching Excellence, UNSW, 2014 Best PhD Student Paper Award, CONVR, UK, 2013 Postdoctoral Fellowship, University of Alberta, 2011-2013 Best Paper Award, ASCE Construction Research Congress, 2010 Dr. Shen mentors 9 PhD candidates in areas like 3D object detection , fuel consumption modeling , and UAV-based LiDAR . His grants include $5.98M from the Australian Research Council (2022–2027) for resilient infrastructure systems and projects on modular construction and intelligent tunneling .

Robert P. AndersonView profile

Professor

• Biogeography
• Species Distribution Modeling
• Biodiversity Conservation
• +5 more

Robert P. Anderson is a Professor of Biology in the Division of Science at City College of New York (CCNY), part of the City University of New York (CUNY) system. His research laboratory is located in Marshak Science Building (Room 810), with additional affiliation as a Research Associate at the American Museum of Natural History (AMNH) Mammalogy Department. As a Highly Cited Researcher (2019-2023) and AAAS Fellow (2023), he leads an interdisciplinary biogeography research program focused on modeling species niches and distributions. Dr. Anderson's research spans biodiversity modeling, biogeography, and ecology with specialization in mammals. His lab develops ecological modeling software widely applied in conservation biology, invasive species management, zoonotic disease studies, and climate change impact assessments. Key research themes include: Characterizing spatial configuration of environmental suitability for species Developing machine learning approaches (particularly Maxent) for species distribution modeling Studying climate change effects on biodiversity Conservation applications of biogeographic models Neotropical mammal systematics and ecology His work has resulted in significant software contributions including Wallace, ENMeval, and spThin, with recent publications emphasizing methodological improvements in species distribution modeling and conservation applications. The lab maintains active projects funded by NASA and the National Science Foundation, focusing on small mammals of North and South America. Scientific recognition includes: AAAS Fellow (2023) Web of Science Highly Cited Researcher (2019-2023) Blavatnik Science Scholar (New York Academy of Sciences) Most Downloaded Paper in Ecography (2023-2024) Most Cited Paper in Ecography (2023) Dr. Anderson mentors graduate students through the CUNY Graduate Center and CCNY Master's programs, with recent advisees receiving prestigious awards including the ASM Horner Award and NASA FINESST Fellowship. His lab trains students in environmental biology through interdisciplinary research combining fieldwork, morphology, climatology, remote sensing, physiology, and genetics. Current lab members include Andrew Gaier (NASA Fellow), Mariano Soley-Guardia, and Kass (lead author on highly cited Wallace v2 paper). The Anderson Lab operates from CCNY's Marshak Science Building as part of the university's biodiversity group studying ecology, evolution, and geography of life on Earth. The lab emphasizes software co-design between end-users and developers to enhance conservation utility, with recent work focusing on neighborhood approaches for range estimation and operationalizing expert knowledge in species assessments.

• Construction Procurement
• Relational Contracting
• Project Management Methodologies
• +4 more

Dr. Farshid Rahmani is a Lecturer at the School of Property, Construction and Project Management (PCPM), RMIT University, Australia. His research and teaching focus on Construction Procurement , Relational Contracting , and Agile Project Management . He supervises Masters and PhD students in areas including Early Contractor Involvement (ECI) Alliances Public-Private Partnerships (PPP) Collaborative Delivery Systems . His recent publications explore agile frameworks for building adaptation, sustainable materials like recycled concrete, and team dynamics in large infrastructure projects. Key themes include modular construction , project lifecycle management , and innovative material usage . He actively applies Grounded Theory and Abductive Reasoning in construction management research.

Hing-Ho TsangView profile

Professor

• Civil Engineering
• Structural Engineering
• Seismic Design
• +7 more

Professor Hing-Ho Tsang is the Chair in Civil and Structural Engineering at the University of Dundee, with over a decade of academic experience in Australia and Hong Kong. His research focuses on advancing sustainable infrastructure solutions, earthquake resilience, and green technologies to enhance building and infrastructure safety against natural disasters. He holds a Chartered Professional Engineer (CPEng) certification and advises governments and industries on building codes and seismic design guidelines. Tsang chairs the Global Network for Geotechnical Seismic Isolation (GSI) and serves as the Australian National Delegate to the International Association for Earthquake Engineering (IAEE). His expertise spans geotechnical seismic isolation, recycled materials in construction, and structural dynamics, contributing to UN Sustainable Development Goals (SDGs) like resilient infrastructure, circular economy, and climate action. With over 200 publications and a career-long impact ranking in Civil Engineering, Tsang has received prestigious awards including the R W Chapman Medal and Research Impact Award. Research Focus: Seismic design, sustainable construction, bio-inspired materials, and geotechnical isolation systems. Awards: Top Cited Article (2021–2022), Teaching Excellence Award (2022), and multiple international recognitions. Leadership Roles: Editorial board member for Geosynthetics International , organizer of the 18th World Conference on Earthquake Engineering technical session. His work emphasizes equity-driven engineering solutions, fostering inclusive and disaster-resilient communities. Current projects include innovative modular building systems and AI-driven seismic response models.

• Wind Engineering
• Structural Engineering
• Cyclone and Windstorm Damage Assessment
• +7 more

David Henderson is the Director of the Cyclone Testing Station (CTS) in the School of Engineering and Physical Sciences at James Cook University, Australia. He has over two decades of experience as a research engineer specializing in the performance of low-rise buildings under extreme wind conditions. He previously served as the CTS Research Fellow and Manager, and was seconded as a Postdoctoral Researcher at the University of Western Ontario, Canada, working on full-scale house testing under simulated wind loads. His work bridges engineering research, disaster assessment, and policy development. David's research focuses on wind engineering, structural resilience, and disaster mitigation. His key interests include cyclonic wind loading, internal and external pressure dynamics in buildings, fatigue failure of structural connections, and the vulnerability of housing to severe wind events. He has conducted post-disaster surveys across Australia and Canada, assessing damage from cyclones, tornadoes, and earthquakes. His research has direct applications in building codes, retrofitting strategies, and community risk reduction. The recent publications highlight a strong trend in understanding and mitigating wind-induced damage to residential structures, particularly through full-scale testing, modeling of pressure dynamics, and fragility assessment of roofing systems. His work spans experimental, theoretical, and policy-oriented domains, with a growing emphasis on climate change adaptation and community resilience. Topics such as internal pressure design, load sharing in roof frames, and retrofitting for wind resistance are central to his contributions. 14 research awards (specific names not listed) Active member of Standards Australia code committees Invited speaker at national and international conferences Media contributor on storm damage and building safety David has led multiple research projects funded by councils and agencies focused on extreme wind mitigation, data systems (SWIRLnet), and community risk reduction. While formal student supervision is not explicitly listed, he collaborates extensively with researchers such as John Ginger, Korah Parackal, and Daniel Smith. He has contributed to major studies involving wind load testing, housing vulnerability modeling, and climate adaptation planning. David is a key figure in the Cyclone Testing Station, leading its full-scale testing program and contributing to the development of software for controlled load and measurement systems. His team conducts wind risk assessments for communities and large installations, incorporating terrain analysis and retrofitting evaluations. The CTS serves as a national resource for wind engineering research and disaster resilience innovation.

Nabil NasrView profile

Professor

• Sustainability
• Sustainable Manufacturing
• Remanufacturing
• +3 more

Dr. Nabil Nasr serves as Associate Provost for Academic Affairs and Director of the Golisano Institute for Sustainability (GIS) at Rochester Institute of Technology (RIT). He also holds leadership positions as CEO of the REMADE Institute and Member of the United Nations Environment Programme (UNEP) International Resource Panel (IRP). His academic journey includes a BS from Helwan University (Egypt), M.Eng. from Pennsylvania State University, and MS and PhD from Rutgers University. Dr. Nasr is an internationally-recognized leader in sustainability research with expertise spanning sustainable manufacturing, remanufacturing, circular economy, and sustainable product development. His work emphasizes systems thinking and technological innovation to build regenerative industrial systems. He has pioneered research in value-retention processes, establishing frameworks for remanufacturing, refurbishment, repair, and direct reuse as strategic approaches to resource efficiency. His publication record demonstrates significant contributions to circular economy implementation across multiple sectors. Analysis of his recent work reveals strong focus on practical applications of circular strategies in industrial systems, automotive production, and urban mobility solutions, with emphasis on developing decision support tools and business cases for sustainable practices. Remanufacturing Industries Council 2017 ACE Award Rochester Engineering Society 2017 Engineer of Distinction APRA Asia-Pacific Most Influential Expert on Remanufacturing Award (2016) Institute of Industrial and Systems Engineers (IISE) Fellow Dr. Nasr has established numerous research centers and initiatives including the world's first university-based remanufacturing research hub (1997), the Center for Integrated Manufacturing Studies (2002), and the REMADE Institute - the largest recycling and remanufacturing consortium in the United States. His leadership extends to international forums including the UN Environment Programme, World Trade Organization, and OECD, where he influences global sustainability policy.

• Building Information Modeling (BIM)
• Civil Engineering Informatics
• Tunneling and Underground Construction
• +5 more

Markus König is a Professor of Informatics in Civil Engineering at Ruhr University Bochum, where he has been researching and teaching since October 2009. His work focuses on Building Information Modeling (BIM), digital construction technologies, and civil engineering informatics, with significant contributions to the development and implementation of digital methods in German construction industry. Dr. König earned his degree in civil engineering with a focus on applied computer science at Leibniz University Hannover, where he also completed his doctorate on cooperative building planning at the Institute for Building Informatics. He subsequently held a junior professorship for Theoretical Methods of Project Management at Bauhaus University Weimar before joining Ruhr University Bochum. His research spans multiple cutting-edge areas including Building Information Modeling (BIM), construction process simulation, tunneling informatics, infrastructure asset management, and the application of artificial intelligence and computer vision in civil engineering. As chair of the Building Informatics Working Group from 2012-2016, he played a key role in developing the first national BIM curriculum for German universities and serves as editor of the book 'Building Information Modeling: Technological Foundations and Industrial Practice.' Analysis of his recent publications reveals a strong trend toward semantic technologies, digital twins, automated compliance checking, and the integration of AI in construction processes. His work increasingly focuses on information containers, ontology development, and the application of large language models to infrastructure data, reflecting the evolving landscape of digital construction. Dr. König's significant contributions to digital construction have been recognized with prestigious awards: Lower Saxony-Bremen Construction Industry Award (2017) for 'services in the development and introduction of digital construction in Germany' Konrad Zuse Medal (2020) While specific details about his advising and grant activities aren't explicitly mentioned in the provided text, his extensive publication record with numerous co-authors suggests active supervision of doctoral students and research staff. His involvement in multiple collaborative research projects is evident from his publication history. At Ruhr University Bochum, Professor König leads a research group focused on civil engineering informatics, with particular emphasis on BIM, digital construction technologies, and their application across the building lifecycle. His team appears to work at the intersection of computer science and civil engineering, developing innovative solutions for construction process optimization, infrastructure management, and digital transformation of the AEC industry.

• IoT Systems
• Data Quality
• Fog Analytics
• +7 more

John Byabazaire is a Research Fellow at the School of Computer Science, University College Dublin (UCD). He holds a PhD in Computer Science from UCD (2024), following a BSc (Gulu University, 2013) and MSc (Waterford Institute of Technology, 2018). His research focuses on IoT systems for data collection, remote sensing, AI-driven end-to-end system management, and fog analytics. He has held academic roles including Assistant Lecturer at Gulu University (2018–2019) and teaching roles at UCD since 2019, including Occasional Lecturer and Senior Teaching Assistant. His research spans smart agriculture, data quality in IoT, and education technology. Notable contributions include frameworks for yield mapping in precision agriculture, trust-based data validation in IoT, and machine learning approaches for livestock health monitoring. He has secured grants like the National ICT Initiatives Support Program (Uganda Government, 2019–2020). Teaching includes courses on cloud computing, web development, and distributed systems. His articles emphasize IoT data quality, agricultural analytics, and educational technology innovation. He actively promotes technology adoption in African education and agriculture sectors through collaborative projects.

Charles RezkView profile

Professor

• Algebraic Topology
• Homotopy Theory
• Higher Category Theory
• +3 more

Roles & Affiliations: Charles Rezk is a Professor in the Department of Mathematics at the University of Illinois at Urbana-Champaign. He is affiliated with the College of Liberal Arts & Sciences and holds offices in both the Computing Applications Building and Altgeld Hall. He actively teaches advanced courses such as Homotopy Theory (Math 527) and Higher Category Theory (Math 595). Research Interests: Rezk specializes in algebraic topology, with a focus on homotopy theory, higher category theory, and infinity categories. His work explores topics like elliptic cohomology, spectral algebra, and model categories. He has contributed to foundational areas such as quasicategories and topological André-Quillen cohomology. Academic Contributions: Rezk manages the ALGTOP-L algebraic topology mailing list and maintains a comprehensive website with course materials, publications, and resources. His research includes notable papers on free colimit completions in infinity-categories (2025) and spectral algebra models of unstable periodic homotopy theory (2020). He also engages in educational outreach through lecture notes and video courses on finite group representations and abstract algebra. Professional Activities: Rezk has organized conferences, contributed to editorial boards, and participated in initiatives like the Bousfield Classes conference. His work bridges foundational category theory with applied homotopy theory, influencing both pure and applied mathematical research.

Peng GaoView profile

Professor

• River Morphodynamics
• Geospatial Analysis (GIS, Remote Sensing, UAV)
• Urban Planning
• +3 more

Peng Gao is a Professor in the Department of Geography and the Environment at Syracuse University, affiliated with the Maxwell School of Citizenship and Public Affairs. His work bridges river geomorphology and urban geospatial analysis, leveraging GIS, remote sensing, and UAV technologies to address environmental and social challenges. Education: Ph.D., Physical Geography, State University of New York at Buffalo (2003) M.S., Physical Geography, Lanzhou University (1993) B.S., Solid Mechanics, Lanzhou University (1990) Professor Gao specializes in river morphodynamics—particularly in the Qinghai-Tibet Plateau—and geospatial applications for urban planning. His research examines braided/meandering river systems, peatland hydrology, and how urban built environments influence social inequities and public health outcomes through spatial analysis. His 2020-2024 publications reveal a dual focus: (1) fluvial processes in high-altitude regions (e.g., neck cutoff dynamics, braided river discharge estimation using Landsat), and (2) urban applications (e.g., green building design, lead poisoning exposure mapping). This reflects a strategic integration of field geomorphology with computational geospatial modeling. Professor Gao actively mentors through SOURCE undergraduate research grants and PhD committees. Current funded projects include peatland mapping in the Andean Altiplano, I-81 Viaduct impact analysis in Syracuse, and studies on urban built environments affecting childhood lead poisoning. His work utilizes UAVs for BVLOS operations and collaborates with Syracuse CoE on urban environmental simulations, emphasizing technical innovation in geospatial data acquisition and analysis.

Efstathios (Stathis) MichaelidesView profile

Professor

• Advanced Energy Systems
• Energy Conversion and Conservation
• Geothermal Energy
• +9 more

Efstathios (Stathis) Michaelides is the W.A. "Tex" Moncrief, Jr. Founding Chair of Engineering at Texas Christian University (TCU). He holds a Ph.D. and M.S. in Engineering Science from Brown University (1980, 1979) and a B.A. in Engineering Science and Economics from Oxford University (1977). His research focuses on advanced energy systems, multiphase flow, and renewable energy transitions. Ph.D. , Engineering Science, Brown University, 1980 M.S. , Engineering Science, Brown University, 1979 B.A. , Engineering Science and Economics, Oxford University, England, 1977 Michaelides' work spans energy conversion , geothermal systems , nanofluidics , and particle-fluid dynamics . His recent publications analyze energy storage requirements for renewable transitions, drag force correlations in complex flows, and thermodynamic implications of carbon sequestration. His research trends include decarbonization strategies , nanoparticle-enhanced phase transitions , and smart microfluidic systems . He has also contributed to foundational texts like Particles, Bubbles and Drops (2006) and the Multiphase Flow Handbook (2017).

• Control Technology
• Distributed Optimization
• Machine Learning
• +4 more

Mikael Johansson is a Professor at Kungliga Tekniska Högskolan (KTH), specializing in Control Technology . He teaches and coordinates courses such as Distributed Optimization (FEL3311) and various advanced-level degree projects in computer science, electrical engineering, and systems engineering. His research spans Control Systems , Machine Learning , and Optimization , with a focus on asynchronous algorithms, federated learning, and applications in energy systems and construction. His work includes 15 recent publications on topics like neural networks, distributed optimization, and battery technology. Notable areas of contribution are in asynchronous learning, federated learning with privacy constraints, and quasi-Newton methods for optimization. His research bridges theoretical advancements with practical applications in urban design, healthcare, and autonomous systems.

• Lean Construction
• Real-time Production Control
• Location Based Management Systems
• +7 more

Olli Seppänen serves as Associate Professor in Civil Engineering at Aalto University's School of Engineering, specializing in operations management for construction productivity improvement. He coordinates the Vision 2030 consortium—comprising 13 Finnish construction and design firms—to develop industrialized building methods for 2030, while leading multiple Business Finland-funded research initiatives focused on digital construction workflows and real-time monitoring. His research centers on lean construction principles, location-based management systems, and digital transformation through IoT, AI, and robotic vision. Key focus areas include prefabrication optimization, construction logistics, and shifting work off-site to industrialize processes. He aims to solve industry-wide productivity challenges by creating real-time situational awareness and implementing takt production systems for workflow stability. Recent publications (2024-2025) reveal strong emphasis on digital twin frameworks, semantic modeling for quality assurance, and AI applications in risk management. His work bridges theoretical lean construction concepts with practical implementations, particularly in real-time resource tracking, waste reduction in MEP work, and cross-sector learning from high-performing teams. Seppänen has received significant recognition including: School of Engineering doctoral dissertation award (2024) Best paper at IEEE Wireless Sensors Conference (2019) Nordic Conference best paper award for PhD research (2019) DSc dissertation award (2010) As principal investigator, he manages: Vision 2030 consortium projects (2-3 annually; PI for two current projects) iCONS: Real-time resource flow monitoring via indoor positioning RECAP: Deep learning analysis of progress/quality from images/point clouds DiCtion: Integrated data systems for real-time stakeholder situation pictures He actively contributes to the "Performance in Building Design and Construction" research group and leverages the Vision 2030 consortium as a collaborative platform for industry transformation, driving adoption of digitalized, industrialized construction methods through academic-industry partnerships.

Ángeles Rivero PachoView profile

Assistant Professor

• Sorption Heating and Cooling Technologies
• Data Analysis and Modelling of Energy Systems
• Absorption HVAC
• +5 more

Dr. Ángeles Rivero Pacho is an Assistant Professor (Teaching) in the Department of Electromechanical Engineering at the University of Warwick's School of Engineering. She leads the Electromechanical Engineering Degree Apprenticeship (EMDA) programme and actively contributes to energy systems research. Education PhD in Mechanical Engineering (Sustainable Thermal Energy Technologies, 2014), University of Warwick, UK MSc in Design of Rotating Machines (2010), Cranfield University, UK MEng in Industrial Engineering (2010), Universidad Politécnica de Valencia, Spain Dr. Rivero Pacho specializes in sorption heating and cooling technologies, with a focus on carbon-ammonia adsorption heat pumps, and data analysis of energy systems. Her work extends to absorption HVAC, district heating networks, and low-temperature heat distribution modeling. Her recent publications explore advancements in adsorption heat pump design, thermal resistance in activated carbon, and district heating innovations using thermochemical transmission. These studies emphasize sustainability, efficiency optimization, and material performance. Scientific Awards Ted Perry Award for Student Research (2014/15) Dr. Rivero Pacho has participated in EPSRC-funded projects including LoT-NET (2019–2024) and i-STUTE (2013–2018). She also serves as Programme Manager for EMDA, a member of the Athena Swan self-assessment team, and the School of Engineering's Equality and Diversity Committee.