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Xiaoyun ShaoView profile

Professor

• Structural Engineering
• Seismic Analysis
• Real-Time Hybrid Simulation
• +5 more

Dr. Xiaoyun Shao is a Professor of Civil and Construction Engineering at Western Michigan University (WMU), serving as faculty advisor and director of the Laboratory of Earthquake Structural Simulation. Her expertise spans structural engineering, seismic analysis, real-time hybrid simulation, and natural hazard mitigation. She holds a Ph.D. from the University of Buffalo and M.S./B.S. degrees from Tongji University. As a Professional Engineer (PE) in Michigan, she focuses on advancing experimental methods for infrastructure resilience. Education: Ph.D. in Structural Engineering, University at Buffalo, SUNY (2004) M.S. in Structural Engineering, Tongji University, China (2001) B.S. in Structural Engineering, Tongji University, China (1998) Research Interests: Real-time hybrid simulation techniques for coupled systems (e.g., vehicle-bridge, train-bridge) Seismic response of soft-story wood-frame buildings and retrofit strategies Dynamic behavior of offshore wind turbines and floating structures Advanced materials in construction (elastomeric adhesives, SMA devices) BIM interoperability and digital twin applications Her lab develops innovative testing platforms, including distributed real-time hybrid systems for floating wind turbines and full-scale seismic experiments. Recent work includes interdisciplinary collaborations on adhesive roof construction and computational methods for NHERI projects. Awards and Recognition: Not explicitly listed in provided text. Advising and Grants: Leads the LESS lab’s Ph.D. recruitment for 2025, focusing on natural hazard engineering. Collaborates with teams on NSF-funded projects involving hybrid testing and energy systems. Labs/Teams: Director of WMU’s Laboratory of Earthquake Structural Simulation; member of interdisciplinary teams analyzing floating offshore wind turbines and seismic retrofits.

Se-Hee LeeView profile

Professor

• Nanostructured Materials
• Electrochemical Energy Systems
• Batteries
• +4 more

Professor Se-Hee Lee is a faculty member in the Department of Materials Science and Engineering at the University of Colorado, specializing in nanostructured materials for electrochemical energy systems. Her research focuses on developing high-performance materials for batteries, supercapacitors, fuel cells, and electrochromic devices. She leads the Electrochemical Energy Laboratory, which emphasizes materials design, synthesis, characterization, and device fabrication. Key achievements include the 2010 COTLABS Governor’s Award for electrochromic window research and the 2009 R&D 100 Award for the PowerPlane UX Microbattery. Her work spans solid-state electrolytes, silicon-based anodes, and advanced coating technologies. Research interests include nanostructured metal oxides and chalcogenides, with a focus on addressing challenges like electrode-electrolyte interface stability and volumetric expansion. Awards include invited speaker roles at the 2008 Japan-American Frontiers of Engineering Symposium. Her patents cover thin-film batteries, nano-composites, and hydrogen sensors. Lab locations are in ECNW 160C (office) and ECES 127 (laboratory). Over 50 publications highlight her contributions to solid-state battery technology, including advancements in silicon anodes, ionic liquid electrolytes, and covalent organic frameworks. She collaborates on grants targeting sustainable energy solutions and has pioneered methods like slurry-coated anodes and operando imaging techniques for electrolyte analysis.

Wynne ChinView profile

Professor

• Information Systems
• Structural Equation Modeling
• Technology Acceptance
• +5 more

Wynne Chin is a Professor of Decision & Information Sciences at the C.T. Bauer College of Business, University of Houston. He holds a Ph.D. from the University of Michigan, MBA from the University of Michigan, and degrees from Northwestern University and UC Berkeley. His research focuses on IT adoption, structural equation modeling (SEM), and predictive analytics. He developed the PLS-Graph software, widely used in PLS-based SEM, and has contributed to cross-cultural analysis of IT sourcing and workplace assessment. Education: Ph.D. (Computers & Information Systems, U. Michigan), M.S. (Chemical Engineering, Northwestern), MBA (U. Michigan), B.S. (Biophysics, UC Berkeley). Research interests include IT decision-making, end-user satisfaction, group process measures, and methodological innovations in SEM. He has been recognized globally, ranking 3rd in first-authored articles in MISQ/ISR. Awards include the AIS Fellow, Esther Farfel Award, and AIS Technology Legacy Award. His work bridges IS and statistics, influencing both academic and applied fields. His articles emphasize technology acceptance models, causal modeling, and PLS techniques. Grants and advising contributions are significant but not explicitly detailed here. He has held visiting roles at institutions like the Australian School of Business and is a leader in the PLS research community.

Michael Reichhardt HansenView profile

Associate Professor

• Formal Methods
• Embedded Systems
• Real-Time Systems
• +3 more

Michael Reichhardt Hansen is an Associate Professor at the Department of Applied Mathematics and Computer Science (DTU Compute) at the Technical University of Denmark. He holds a MSc in Engineering (1982) and a PhD in Computer Science (1987) from DTU. He has held postdoctoral and visiting roles, including a fellowship at IBM Research Center (1984–1985) and a guest professorship at Oldenburg University (1992–1993). His research focuses on formal methods, embedded systems, and real-time systems, emphasizing mathematically grounded software development. He has authored/co-authored three books and over 70 scientific articles. Research interests include model-based program construction, temporal logic, functional programming, and ontology alignment. He has led projects on ontology matching frameworks (e.g., MDMapper) and formal methods for real-time systems. Hansen has supervised PhD students in areas like data integration and genetic circuit synthesis. He has contributed to international conferences and serves as a reviewer/examiner for academic programs. His work bridges theoretical foundations with industrial applications, particularly in embedded systems and data management. He has collaborated internationally, with projects addressing ESG reporting standards and regulatory compliance through automated data traceability.

• Object-Oriented Programming
• Software Engineering
• Formal Methods
• +5 more

Bertrand Meyer is a renowned academic and software engineering expert affiliated with Constructor University in Switzerland. He previously held positions at ETH Zurich (2001-2016), the University of Toulouse (2015-2016), and Monash University. His research focuses on object-oriented programming, software engineering, formal methods, and programming languages. He is best known for developing the Eiffel programming language and pioneering the 'Design by Contract' paradigm. Meyer earned his PhD from the University of Nancy, France. His contributions include seminal textbooks like *Object-Oriented Software Construction* (1988, 1997), *Touch of Class* (2009), and *Agile!* (2014). He has received the ACM Software System Award (2006) for his work on Eiffel. His research emphasizes rigorous software design principles, formal verification, and practical software engineering practices. Key innovations include: Design by Contract methodology Advancements in object-oriented design patterns Contributions to component-based development Work on software testing and validation techniques Meyer has authored over 374 publications spanning journals, conferences, and books. His work bridges theoretical foundations and practical software development methodologies.

Jürgen MelznerView profile

Professor

• Construction Management
• Occupational Health and Safety
• Building Information Modeling (BIM)
• +4 more

Prof. Dr.-Ing. Jürgen Melzner is a Professor at the Faculty of Civil and Environmental Engineering at Bauhaus-Universität Weimar. His research focuses on construction operations, occupational health and safety, and BIM integration. He leads projects in lean construction management, noise pollution modeling, and safety planning using BIM. His work emphasizes digital transformation in construction processes and legal aspects of building permits. Education includes a Dr.-Ing. (Doctor of Engineering) with extensive career contributions to construction safety and process optimization. His teaching and research involve BIM applications, IoT integration, and interdisciplinary methods in construction education. Research interests span BIM-based safety systems, predictive noise simulation, ontology networks for construction data, and lean principles in project management. Recent articles address stakeholder management in permits, machine learning for site monitoring, and metaverse applications in urban planning. Notable advising includes guidance of master's students like Mahshid Birkholz and Nasim Babazadeh. His work bridges academic research with practical implementation through projects like BIMwissT and DROHNIS. Labs/teams: Active in the Chair for Construction Management and BIM, focusing on digital tools and safety innovation.

Louay N. MohammadView profile

Professor

• Transportation Engineering
• Pavement Engineering
• Civil Engineering Materials
• +2 more

Louay N. Mohammad is a Professor and Irma-Louise Rush Stewart Professor at the Department of Civil and Environmental Engineering , Louisiana State University (LSU) , and serves as Transportation Group Coordinator. He directs the Sustainable and Resilient Pavement Materials and Technologies Center and the Engineering Materials Characterization and Research Facility at LSU’s Louisiana Transportation Research Center. Education: B.S. Civil Engineering, LSU (1980) M.S. Civil Engineering, LSU (1982) Ph.D. Civil Engineering, LSU (1989) Research Interests: His work focuses on highway construction materials , pavement engineering , accelerated pavement testing , advanced materials characterization and modeling , and infrastructure sustainability . Key areas include asphalt mixture design, intelligent compaction, moisture susceptibility, and recycling of materials like crumb rubber and plastics for pavement applications. Article Trends: His 2025 publications emphasize asphalt mixture durability, moisture resistance, and sustainability, with studies on polymer/epoxy modified binders, SCB test protocols, and environmental impact integration. Recent works also explore self-healing materials and high-recycled-content mixes.

• Construction Management
• Disaster Management
• Sociology of Project Organisations
• +4 more

Associate Professor Thayaparan Gajendran serves as Head of the School of Architecture and Built Environment at the University of Newcastle. With expertise in construction management and disaster risk reduction, he applies a sociological lens to study organizational cultures, ICT integration, and innovation in project-based industries. His work bridges construction and disaster management, emphasizing evidence-based solutions for improved community resilience. Education: PhD (University of Newcastle), MSc in Facilities Management (National University of Singapore), Postgraduate Diploma in Management (University of Sri Jayewardenepura), BSc in Quantity Surveying (University of Moratuwa, Sri Lanka) Gajendran’s research focuses on cultural analysis in permanent and temporary organisations , ICT adoption , innovation behavior , and project governance within construction and disaster contexts. He has designed university programs like the Master of Disaster Preparedness and Reconstruction and led curriculum reforms integrating Building Information Modelling (BIM). Recent publications highlight topics such as power dynamics in megaprojects, behavioral economics in green construction adoption, and climate resilience in informal settlements. His scientific awards include multiple citations for teaching excellence and research supervision, alongside 2023 Excellence Awards in Equity/Diversity, Leadership, and Industry Engagement. Teaching: Courses in Building Economics, Disaster Management, and Research Methods Administrative Roles: Research Director, Program Convenor for Disaster Management, Acting Head of Discipline

Jelena MiloševićView profile

Assistant Professor

• Structural Systems
• Spatial Structures
• Structural Morphology
• +2 more

Jelena Milošević is an Assistant Professor at the Department of Architectural Technologies, University of Belgrade - Faculty of Architecture. She serves as Vice-Dean for Teaching and Student Affairs and specializes in structural systems, spatial structures, morphology, and optimization of structures. Her research combines computational design, digital fabrication, and sustainable construction methods. Education: Graduated in Architecture, University of Belgrade (2006) Enrolled in doctoral studies (2009) Her research focuses on generative design approaches for architectural structures, performance-based optimization, and applications of 3D printing in construction. She investigates biomimetic pattern applications in structural design and develops parametric workflows for complex geometries. Recent work explores circular economy potentials in architectural production through recycled materials and additive manufacturing. Publications demonstrate a strong focus on digital fabrication technologies in architectural education and practice. Recent articles examine hybrid pedagogical approaches integrating 3D printing technologies into design studios, material efficiency in additive-manufactured structural systems, and sustainable applications of recycled materials in digital fabrication. She has participated in research projects including 'Development and application of scientific methods in design and construction of highly economical structural systems using new technologies' funded by the Ministry of Education, Science and Technological Development of Serbia.

• Medical Image Analysis
• Machine Learning
• Computer Vision
• +3 more

Dr Himashi Peiris is a Research Fellow in the Department of Data Science & AI at Monash University's Faculty of Information Technology in Australia. She holds a PhD in Biomedical Engineering from Monash University (2024) and a Bachelor's in Information Technology from the University of Moratuwa, Sri Lanka. Her work focuses on semi-supervised learning, medical image analysis, and AI-driven healthcare solutions. She has over three years of industry experience in software engineering. Research interests include developing machine learning algorithms for medical imaging challenges, particularly in scenarios with limited labeled data. Her innovations span neural networks, transformer architectures, and uncertainty-guided segmentation techniques applied to MRI, CT scans, and biomedical datasets. Her publications in Nature Machine Intelligence and MICCAI conference highlight contributions to semi-supervised segmentation and AI-driven diagnostic tools. Notable collaborations include the development of PINGU for perivascular space identification and adversarial networks for construction waste recognition. Awards include the 2023 Victorian Biomedical Imaging Capability Early Career Award and 2023 IEEE ACS Student Writing Award. Her work has been featured in media outlets and Mendeley platforms, emphasizing AI's role in medical decision-making.

Cary D TroyView profile

Professor

• Environmental Fluid Mechanics
• Coastal Engineering
• Hydrology
• +5 more

Cary D. Troy is a Professor of Civil Engineering at Purdue University's Lyles School of Civil and Construction Engineering. He specializes in environmental fluid mechanics, with a focus on hydrodynamic processes in lakes and coastal systems, particularly Lake Michigan. His research integrates field experiments, numerical modeling (e.g., SUNTANS), and analytical methods to study circulation, thermal structure, and mixing in aquatic environments. Education: Ph.D. (2003), M.S. (1997), and B.S. (1995) in Civil Engineering from Stanford University, University of Illinois Urbana-Champaign, and Purdue University, respectively. Research interests include benthic boundary layer processes, river plume characterization, and the impacts of invasive species (e.g., quagga mussels) on water quality. His pedagogical work emphasizes active learning in engineering education, including flipped classrooms and writing-to-learn strategies. He has mentored over a dozen graduate students and received multiple teaching awards, including the Purdue University Bravo Award (2015) and Exceptional Early Career Teaching Award (2014). Awards include the Roy E. & Myrna G. Wansik Teaching Leadership Award (2016) and the American Society of Civil Engineers ExCEED Teaching Fellow designation (2009). His lab, the Burke Hydraulics and Hydrology Lab, focuses on advancing understanding of coastal and limnological systems through interdisciplinary approaches.

• Algebraic Topology
• Operad Theory
• Configuration Spaces
• +3 more

Paolo Salvatore is a Full Professor of Geometry at the Department of Mathematics, University of Rome Tor Vergata. His research focuses on algebraic topology, particularly operad theory, configuration spaces, and homotopy theory. He has contributed to foundational work on operadic structures, including studies on the Gravity and Hypercommutative operads, En-algebras, and the Fulton-MacPherson operad. Salvatore has also explored non-formality in characteristic two and geometric realizations of topological spaces. His teaching responsibilities include courses in linear algebra, geometry, and topology for engineering and mathematics students. He has developed extensive lecture materials and online resources for courses such as Linear Algebra and Geometry (Engineering Sciences) and Complementi di Topologia Algebrica . Examinations are conducted via written and oral evaluations with digital platforms. Salvatore has collaborated extensively with researchers like T. Rossi, M. Ching, and J. Giansiracusa on topics ranging from Koszul duality to moduli spaces. His work bridges algebraic topology with geometric and categorical methods, influencing both theoretical and applied mathematical domains.

• Project Management
• Construction Management
• Building Information Modeling
• +6 more

Neziha Yılmaz is a Researcher affiliated with the Civil Engineering Department at Istanbul Technical University's Civil Engineering Faculty. Her work focuses on integrating Building Information Modeling (BIM), Mixed Reality technologies, Machine Learning, and Artificial Intelligence into construction management and facility operations. Education: PhD in Structural Engineering (2020), Istanbul Technical University Master's in Building Management (2017), Istanbul Technical University Bachelor's in Civil Engineering (2012), Istanbul Technical University Research interests span Virtual Reality, Augmented Reality, Digital Twin applications, and data-driven decision-making in construction. She has explored topics like RFI analysis optimization, occupant feedback systems in BIM, and cross-cultural office leasing criteria using AHP methodology. Her articles emphasize practical applications of emerging technologies in construction asset management, building design, and usability evaluations of mixed reality solutions. No scientific awards or grants are explicitly listed in available records. She currently advises no formal graduate students. Professional Experience includes roles as a BIM Engineer at Gülermak Nurol Makyol Metro Construction Partnership (2019–2020) alongside academic duties since 2020.

Nancy Larson VarneyView profile

Associate Professor

• Structural Engineering
• Concrete Structures
• Civil Infrastructure Security
• +2 more

Nancy Larson Varney serves as an Associate Teaching Professor in the Department of Civil and Environmental Engineering at Northeastern University, a position she assumed in August 2023. Her academic career focuses on advancing structural engineering education and sustainable infrastructure practices. Education: PhD in Structural Engineering, The University of Texas at Austin, 2013 MS in Structural Engineering, The University of Texas at Austin, 2010 BS in Civil Engineering, Lehigh University, 2008 Research Interests: Dr. Varney's research centers on structural engineering with specialized expertise in concrete structures, structural safety mechanisms, and sustainable resource engineering. She investigates critical infrastructure vulnerabilities through civil infrastructure security frameworks while pioneering sustainable construction methodologies. Her experimental work on inverted-T beams and mass timber systems directly addresses durability challenges in modern infrastructure, including alkali-silica reaction and delayed ettringite formation in prestressed concrete elements. Publication Trends: Her scholarly output (2012-2018) demonstrates consistent focus on structural performance validation through experimental and analytical approaches. Key research trajectories include concrete-steel composite systems, innovative timber construction techniques, and durability assessment of critical structural components. Publications in ACI Structural Journal and PCI Journal reflect her industry-relevant contributions to design standards and safety protocols, with increasing emphasis on sustainable materials integration. Professional Affiliations: Active membership in the American Concrete Institute, American Institute of Steel Construction, and American Society of Civil Engineers Structural Engineering Institute enables cross-sector collaboration on code development and structural safety initiatives. Professional Recognition: Licensed as a Professional Engineer in Massachusetts and New Hampshire and Structural Engineer in Hawaii, Dr. Varney maintains active industry engagement through technical committees. No specific scientific awards or student advisees were documented in available materials, and grant funding details remain unspecified.

Gareth PetersView profile

Professor

• Actuarial Science
• Statistical Risk Modeling
• Financial Engineering
• +5 more

Professor Gareth Peters is the Janet & Ian Duncan Endowed Chair of Actuarial Science and holds the Chair in Statistics for Risk and Insurance at the Department of Statistics & Applied Probability, University of California Santa Barbara (UCSB). His research focuses on statistical solutions for risk and insurance, with emphasis on actuarial science, financial engineering, environmental data analysis, and cybersecurity risk. He has received notable recognition including the 2024 IFoA Peter-Clark Prize, the oldest actuarial award established in 1891. His academic contributions span advanced statistical modeling techniques for financial markets, climate-related risk analysis, and healthcare analytics. Notable projects include developing methodologies for green bond valuation, cyber insurance frameworks, and machine learning applications in audiology and speech disorders. He has pioneered software tools such as CovRegpy for covariance regression and DivFolio for portfolio divestment analysis. Educations: Advanced degrees in statistics and actuarial science (specific details not provided) Professional Memberships: Fellow of multiple academic societies including the Royal Statistical Society and Institute of Mathematics and its Applications Research interests include: Statistical causality in financial and environmental time series Mortality modeling incorporating long-memory processes Quantifying climate change impacts on energy consumption Machine learning for cybersecurity risk mitigation His recent work emphasizes interdisciplinary applications of statistics in climate finance, sustainable investing, and precision agriculture. Over 2020-2025, his publications explore topics ranging from municipal green bonds to vocal analysis for Parkinson’s diagnostics. Awards: 2024 IFoA Peter-Clark Prize Elected Member of ISI (International Statistical Institute) IEEE Senior Member Labs/Initiatives: Develops open-source software packages for statistical analysis (e.g., AdvEMDpy, PyKronecker) and contributes to regulatory frameworks via tools like AuditChain for blockchain-based trading audits.