جست‌وجوی استاد و پژوهشگر

Sergio Cavalaroمشاهده پروفایل

استاد

• Automation in Construction
• Circular Economy
• Sustainable Construction Materials
• +۳ مورد دیگر

Professor Sergio Cavalaro is a civil engineer and Professor of Infrastructure Systems at Loughborough University, serving as Associate Dean for Research and Innovation. He leads multidisciplinary research initiatives addressing challenges in the built environment, including automation in construction, circular economy practices, and advanced materials. His work focuses on accelerating the transition from research to practical applications, exemplified by innovations like the world-first large-scale 3D concrete printing system with Acciona and automated repair solutions for Network Rail. He is Deputy Director of Doctoral Programmes and a key figure in networks such as UKCRIC (UK Collaboratorium for Research in Infrastructure and Cities), where he coordinates large-scale projects across universities. His leadership roles include co-founding the NHS Academia-Industry Partnership (AIP) and developing frameworks for multi-institutional collaborations. Recent projects include EPSRC-funded studies on digital modeling for 3D printed concrete and UKRI-led circular economy initiatives. Research interests span structural design, durability of construction materials, and sustainable practices. Notable contributions include improving NHS infrastructure resilience during the pandemic and advancing fiber-reinforced concrete technologies. His work frequently involves partnerships with industry leaders like Acciona, Network Rail, and IQE, bridging academic research with commercialization through initiatives like his spinout 'Smart Engineering.'

• Conceptual Modelling
• Enterprise Modeling
• Requirements Engineering
• +۳ مورد دیگر

Monique Snoeck is a full professor and coordinator of the Information Systems Engineering Research Group (LIRIS) at KU Leuven's Faculty of Economics and Business (FEB). She serves on the FEB Council and Campus Council while contributing to DigiSoc and Leuven.AI institutes as a member focused on digital society and AI initiatives. Her research pioneers conceptual modelling, enterprise modeling, requirements engineering, and model-driven engineering, notably through the MERODE methodology and MERLIN prototyping tool. Current work integrates AI with learning analytics for education and develops automatic UI generation from conceptual models, alongside capacity-building projects for Cuba's software industry using model-driven approaches. Recent publications reveal converging trends in LLM-enhanced conceptual modeling education, XAI applications for credit risk analysis, and digital process twins for business scenario simulation. Key themes include model validation techniques, IoT application patterning, and multi-model integration for domain-process alignment. She supervises PhD candidates Tiukhova, E. (credit risk/XAI) and Verbruggen, C. (multi-modelling), leading grants including 'Explanations in AI for Learning Analytics' (2025-2029), 'Personalized Feedback Generation' (2024-2028), and 'Cuba Software Industry Capacity Building' (2024-2029) as promotor. As LIRIS leader, she drives model-driven engineering research while collaborating with Leuven.AI on AI integration and DigiSoc on digital public service co-creation initiatives.

• Artificial Intelligence
• Machine Learning
• Data Science
• +۴ مورد دیگر

Dr. Lia Song is a Lecturer (teaching-research balanced) at the University of Adelaide (UoA) and a researcher at the Australian Institute for Machine Learning (AIML). She is also a Visiting Scholar at the Australian Artificial Intelligence Institute (AAII) at the University of Technology Sydney (UTS). Previously, she held roles as a Laureate Postdoctoral Research Associate at AAII and a Research Fellow at RMIT University. She holds a PhD in Statistics from the University of Technology Sydney, complemented by a Master's and Bachelor's in Statistics from China. Her teaching focuses on artificial intelligence and machine learning, including coordinating courses like 'Concepts in Artificial Intelligence' and 'Using Machine Learning Tools PG.' She supervises student projects across various levels, emphasizing critical thinking and teamwork. Her research addresses foundational challenges in machine learning, particularly data distribution discrepancies, aiming to enhance model accuracy, robustness, fairness, and transparency. Key areas include robust modeling, AI agent collaborations, and real-time forecasting applications in finance and weather. She collaborates with institutions like UniSA's Australian Research Centre for Interactive and Virtual Environments and RMIT's Enterprise AI and Data Analytics Hub. Dr. Song leads and participates in grants such as the Surrey-Adelaide Partnership Fund and UoA Start-up Grant, focusing on adversarial learning, digital capabilities for aged care, and AI ethics tools. Her long-term goal is to develop end-to-end trustworthy AI solutions for diverse users.

Ri Naمشاهده پروفایل

دانشیار

• Building Information Modeling (BIM)
• Computational Fluid Dynamics (CFD)
• Energy-Efficient Building Design
• +۵ مورد دیگر

Ri Na is an Associate Professor in the Department of Civil, Construction, and Environmental Engineering at the University of Delaware since 2018. She holds a PhD in Construction Engineering and Management from the University of Nebraska-Lincoln, an MS in Construction Management, and a BS in Construction Estimating from Chang’an University, China. Her research integrates advanced technologies like BIM, CFD, drone-based thermography, and AR/VR to enhance infrastructure sustainability and construction education. She advises the Construction Engineers of America (CEA) student club and coaches teams for ASC competitions. Dr. Na contributes editorially to journals like the Journal of Sustainable Marine Structures and Journal of Construction Research , and actively reviews for engineering conferences. Her work focuses on energy-efficient design, structural health monitoring via infrared thermography, and predictive maintenance using machine learning. She explores cutting-edge applications of drones, laser scanning, and immersive technologies to bridge gaps between education and industry practices. Dr. Na’s research bridges civil engineering with data-driven innovations, emphasizing practical implementation in construction management. Her Google Scholar publications emphasize media effects, particularly cultivation theory’s role in shaping societal perceptions through TV and social media. Recent studies analyze violence portrayal, gender stereotypes, and health-related content across media platforms. These dual focuses reflect her interdisciplinary approach to both civil engineering and communication science.

Stephanie Shireمشاهده پروفایل

دانشیار

• Early Intervention
• Autism Spectrum Disorder
• Implementation Science
• +۳ مورد دیگر

Dr. Stephanie Shire is an Associate Professor in Special Education at the University of Oregon's College of Education, specializing in early intervention for children with autism and neurodevelopmental disorders. Her work emphasizes community partnerships and evidence-based practices through hybrid implementation science and randomized clinical trials. She holds a PhD in Human Development and Psychology from UCLA (2013), an M.Ed (2010) and B.A. in Psychology (2008) from the University of Alberta. Her research focuses on optimizing caregiver-mediated interventions like JASPER, exploring their real-world effectiveness and scalability. Key areas include telehealth adaptations, pandemic impacts on early intervention, and peer engagement strategies for minimally verbal autistic children. Dr. Shire collaborates with educators, therapists, and families to bridge research and practice, particularly in low-resource settings. Publications highlight innovations in intervention delivery models, including videoconferencing coaching and SMART designs for social skills interventions. She advocates for sustained community implementation of evidence-based practices, with recent work addressing post-pandemic service recovery and global caregiver training programs. Dr. Shire is actively mentoring graduate students and seeks new doctoral advisees for 2024-25.

Michael Kaneمشاهده پروفایل

استادیار

• Infrastructure Automation
• Community Resilience
• Sustainability
• +۴ مورد دیگر

Michael Kane is an Assistant Professor in the Department of Civil and Environmental Engineering at Northeastern University, focusing on human-in-the-loop control systems for civil infrastructure. He previously served as a Fellow at the U.S. Department of Energy’s ARPA-E. PhD in Civil Engineering, University of Michigan, 2014 MS in Electrical Engineering, University of Michigan, 2011 MS and BS in Civil Engineering, Drexel University, 2009 His research explores: Citizen-centric controls for buildings and infrastructure Community resilience in extreme temperatures Grid-interactive efficient buildings Structural health monitoring via wireless systems Human-technology integration in automation The 15 most recent publications reflect his work on building operations, occupant behavior, structural monitoring, and energy systems. Key subtopics include human-in-the-loop controls, smart grid integration, thermal comfort modeling, and offshore wind turbine optimization. Awards: NSF CAREER Award, 2021 He advises graduate and undergraduate students, including Katherine Bassett, Craig Poulin, and Kris Govertsen. His grants include a $750,000 DoE award for training programs in grid-interactive buildings and participation in the NSF NRT Platforms for Exchange and Allocation of Resources grant.

• Building Physics
• Bioenergy
• Sustainable Agriculture
• +۴ مورد دیگر

Henrik Kofoed Nielsen is a Professor at the Department of Engineering Sciences, University of Agder, specializing in building physics, bioenergy, and sustainable systems. His research focuses on energy efficiency in buildings, biomass conversion technologies, and indoor environmental quality. He leads projects on digital twin applications for building optimization and sustainable biochar production. Education includes a Cand.agro. (1983) and PhD in Agricultural Engineering (1986) from the University of Copenhagen. Professional experience spans furnace technology development, horticultural consultancy, and academic positions since 1992. Research explores thermoelectric generators, fluidized-bed gasification, and indoor air quality monitoring. Recent publications focus on AI-driven energy optimization and sustainable biomass utilization. Current projects include biocarbon applications for metallurgy and VOC reduction in built environments. Supervised 10+ PhD projects on biomass systems and energy storage. Leads the Bioenergy research group and serves on committees including the Norwegian Climate Foundation and EU-PoTaRCh network.

• Digital Construction
• Building Information Modelling (BIM)
• Political Economy
• +۹ مورد دیگر

Dr. Christopher Brown is a Lecturer in Digital Construction and BIM at the University of Technology Sydney (UTS), School of Built Environment. He specializes in integrating technology with industry practices, focusing on socio-economic and educational challenges in construction. His interdisciplinary work bridges academia and industry, emphasizing diversity, inclusivity, and equity. Education: PhD in Political Economy (2024) Research Interests: Political Economy of Construction Cadetships Work Integrated Learning (WIL) for student and industry outcomes 3D/4D/5D/6D BIM technologies and their applications Social justice in construction sector diversity Awards: UTS DAB Excellence Award for Innovative Teaching (2020, 2021) UTS DAB Excellence Award for Impactful Engagement (2022) Staff Awards for Excellence: Highest Impact Public Event Teaching & Leadership: Coordinates BCPM courses: Digital Design and Construction 1-3 Industry training programs: Introduction to BIM, Navisworks, Revizto School of Built Environment Responsible Academic Officer (RAO) Indigenous Student Liaison Officer (ISLO) Labs & Collaborations: Key member of the UTS BIM Research Lab, leading industry-focused short courses and representing Australia as a WorldSkills Technical Expert for Digital Construction (Skill 58).

Meng Mengمشاهده پروفایل

مدرس ارشد

• Sustainable Transportation Planning
• Travel Behavior Analysis
• Network Modeling
• +۳ مورد دیگر

Meng Meng is a Senior Lecturer (equivalent to Associate Professor) at the University of Bath's Department of Information, Decisions & Operations within the College of Engineering, Design and Physical Sciences. She serves as Management Director of Studies for the MSc in Business Analytics and leads the Smart Warehousing and Logistics Systems research group under the Centre for Business, Organisations and Society (CBOS). Her roles include teaching, research leadership, and academic program management. She holds a dual academic position in the IAAPS (Interdisciplinary Area of Academic Programs and Services) and serves as External Examiner for the University of Westminster's transportation-related programs. Meng's research focuses on sustainable transportation planning, travel behavior analysis, network modeling, and logistics optimization, with recent emphasis on mobility sharing services and smart logistics systems. She actively contributes to UN Sustainable Development Goals related to sustainable cities (Goal 11) and climate action (Goal 13). Meng has secured significant research funding through projects like 'People-Led Net Zero' (UK Research & Innovation, £2.5M), 'Collaborative AI Solutions to Reduce Supply Chain Emissions' (EPSRC), and 'Infrastructure Planning for Transportation Electrification'. Her work bridges theoretical models with practical applications, leveraging machine learning, simulation, and optimization techniques. Her publications (65+ articles) span high-impact journals like Sensors and International Journal of Production Economics , focusing on topics like traffic flow prediction, bike-sharing optimization, and EV market dynamics. She collaborates internationally with institutions in Singapore, China, and Europe, reflecting her global research network. Meng's advisory roles include supervising doctoral candidates in transportation systems and logistics, and she actively participates in interdisciplinary initiatives combining engineering, data science, and social sciences to address urban mobility challenges.

Ravi Sharmaمشاهده پروفایل

پژوهشگر

• Industrial Internet of Things (IIoT)
• Industry 4.0
• Wireless Sensor Networks
• +۱۱ مورد دیگر

Ravi Sharma is a postdoctoral researcher at the Department of Built Environment at Eindhoven University of Technology, specializing in Industrial Internet of Things (IIoT), Industry 4.0, and data-driven sustainable systems. He earned his PhD from Budapest University of Technology and Economics and a Master's from Indian Institute of Technology, Patna. Role: Researcher focusing on IIoT, ERP integration, and secure data transfer. Projects: Active in the WILSON project for federated digital twinning in building management. Sharma’s research spans IIoT, digital twins, 5G-enabled systems, and blockchain. His work addresses reducing human intervention in industrial data flows, enhancing security, and aligning technology with UN Sustainable Development Goals (SDGs). Recent publications highlight UAV-assisted code dissemination, secure pipeline monitoring, and AI-driven societal advancement. His publications (2025-2020) emphasize IIoT, Industry 4.0, and sustainable computing. Trends include blockchain for data integrity, 5G for real-time positioning, and semantic frameworks for interoperability in construction. Sharma's expertise contributes to SDGs like sustainable cities and responsible consumption. He collaborates across disciplines, including with the WILSON project team for lifecycle building management.

Sofie Van Hoeckeمشاهده پروفایل

دانشیار

• Machine Learning
• Semantic Technologies
• Predictive Maintenance
• +۷ مورد دیگر

Sofie Van Hoecke is an Associate Professor at Ghent University, affiliated with the Internet Technology and Data Science Lab (IDLab) - imec. She leads the PreDiCT (Predictive Diagnostics through Contextual and Trustworthy AI) team, which develops innovative machine learning solutions for predictive maintenance and healthcare diagnostics. Her educational background includes: Engineering Degree, Ghent University (2003) PhD in Computer Science Engineering, Department of Information Technology, Ghent University (thesis: 'Efficient service management in healthcare') Van Hoecke's research centers on hybrid AI systems that fuse machine learning with semantic technologies and physical modeling. Her work targets predictive maintenance (e.g., condition monitoring via thermal imaging and vibration analysis) and predictive healthcare (e.g., migraine tracking, COPD management, and infection diagnostics). Key specialties include context-aware modeling, expert-driven machine learning, and dynamic semantic dashboards for real-time decision support. She has pioneered applications in industrial IoT, medical diagnostics, and environmental monitoring. Her 2025 publications reveal a strong interdisciplinary trajectory applying knowledge graphs, conformal prediction, and explainable AI to diverse domains including network security, digital pathology, building inspection, and neurology. A unifying theme is trustworthy AI with emphasis on uncertainty quantification, out-of-distribution robustness, and seamless integration of domain knowledge into ML pipelines. Her work bridges theoretical advances with industrial deployment through imec collaborations. Scientific Awards: No scientific awards mentioned in provided sources Van Hoecke directs the PreDiCT team across multiple EU and industry-funded projects including AI-SWEEP-2 (smart wound care), HEROI2C (ICU infection management), mBrain (migraine monitoring), and SmartWaterConnect 5.0 (water grid analytics). While specific student advisees aren't listed, her leadership of a 15+ member research team and graduate teaching duties indicate active mentorship. Current grants focus on deploying context-aware AI in healthcare (S.E.P.S.I.S. Connect, ADAM) and industrial settings (RE-ENNOVATE, PACSOI). The PreDiCT team operates within IDLab's Ghent University-imec ecosystem, maintaining strong industry partnerships with Siemens, UZ Ghent Hospital, and water management authorities. Their research infrastructure includes specialized testbeds for predictive maintenance validation and clinical trial frameworks for digital health applications. Ongoing work emphasizes real-world validation of hybrid AI models in resource-constrained environments, particularly for neglected tropical diseases and chronic condition management.

• Computer Science
• Cybersecurity
• Formal Methods
• +۷ مورد دیگر

Mariëlle I.A. Stoelinga is a Full Professor at Radboud University Nijmegen, affiliated with the Digital Society Institute and the Formal Methods and Tools group. Her work focuses on formal methods, cybersecurity, and safety-critical systems, contributing to UN Sustainable Development Goals related to infrastructure resilience and innovation. Education: Prior academic qualifications include doctoral studies leading to her Prof.dr. title. Her research integrates theoretical foundations of fault and attack trees, model checking, and stochastic modeling, with applications in railways, manufacturing, and smart infrastructure. Research interests include: Fault Tree Analysis (FTA), Attack Tree Modeling, Risk Management, Formal Verification of Cyber-Physical Systems, Railway Industry Standards, and Anomaly Detection in Manufacturing. She has a strong focus on practical applications, such as data-driven maintenance strategies and security protocols for critical infrastructure. Recent work emphasizes modular criticality analysis for dynamic systems, fuzzy logic in cybersecurity, and statistical model checking for reliability-centered maintenance. Her publications reflect interdisciplinary collaboration across computer science, engineering, and legal domains. Scientific Awards: Notable recognitions include the Alice & Eve Award (2024), Best Paper Awards at SEFM (2023) and FORTE (2022), and the Concur Test-of-Time Award (2022). These highlight her contributions to formal methods and security research. Advising & Grants: Supervised 12 students and led projects on topics like railway controller testing and additive manufacturing defect analysis. Active in research networks and conferences, she also engages in public outreach through podcasts on data-driven maintenance innovations. Labs/Teams: Part of the Formal Methods and Tools group at Radboud University, collaborating on projects involving digital society challenges, safety-critical systems, and cyber-physical security.

Johannes T. Voordijkمشاهده پروفایل

دانشیار

• Construction Management
• Sustainable Development
• Building Information Modelling (BIM)
• +۳ مورد دیگر

Dr. Johannes T. Voordijk is an Associate Professor specializing in construction management and digital transformation. He holds an honorary position as Honorary Associate Professor at the Royal Melbourne Institute of Technology University since 2021. His research focuses on sustainable development, building information modeling (BIM), and innovative technologies in construction projects. He has contributed to over 258 research outputs, with notable work on circularity assessment, digital twins, and project partner maturity management. Key Awards: David Langford Award (2024) ICE Parkman Medal (2022) RICS Best Paper on Sustainability (2019) Voordijk actively engages in editorial roles, including membership on the Proceedings of Institution of Civil Engineers: Management, Procurement and Law . He has presented at international conferences on topics like AI in construction and datafication in project management.

Ye Luمشاهده پروفایل

دانشیار

• Structural Health Monitoring
• Smart Materials and Structures
• Advanced Signal Processing
• +۵ مورد دیگر

Ye Lu is an Associate Professor in Structural Engineering at Monash University's Department of Civil and Environmental Engineering, leading the Civil Master Program. He holds a PhD in Mechanical Engineering from the University of Sydney (2007) and has been awarded an Australian Research Council (ARC) Discovery Project and ARC Australian Postdoctoral Fellowship (2008). His research focuses on structural health monitoring, smart materials, and artificial intelligence applications in civil engineering infrastructure. Dr. Lu leads projects such as the ARC Research Hub for Smart Next Generation Transport Pavements and the Non-contact Integrity Assessment of High-rise Building Facades. Education: PhD in Mechanical Engineering, University of Sydney, Australia (2007) Research Interests: Structural health monitoring Smart materials and structures Advanced signal processing and AI Infrastructure durability Projects: SPARC: ARC Research Hub for Smart Transport Pavements (2019–2025) Non-contact Façade Panel Integrity Assessment (2020–2025) Smart Sensing for Construction Monitoring (2019–2024) Awards: ARC Australian Postdoctoral Fellowship (2008) ARC Discovery Project Grant (2008) Teaching & Advising: PhD supervision in structural engineering and smart materials Courses: CIV3294, CIV5135 (Advanced Structural Design), CIV5887 (Infrastructure Monitoring) Labs/Teams: Leader of the Civil Master Program, collaborator in interdisciplinary projects across Monash and industry partners like Transurban and EON Reality.

Kristen Schiltمشاهده پروفایل

دانشیار

• Gender Studies
• Sexualities
• Transgender Studies
• +۵ مورد دیگر

Kristen Schilt is an Associate Professor in the Department of Sociology at The University of Chicago, serving as Director of Graduate Studies. Her research focuses on gender, transgender studies, work dynamics, and qualitative methods, with a particular emphasis on uncovering cultural assumptions that perpetuate inequality. She holds a B.A. from the University of Texas at Austin and a Ph.D. from UCLA. Her seminal work Just One of the Guys? examines transgender men’s workplace experiences, revealing how societal gender norms persist despite individual transitions. Schilt co-edited Other, Please Specify: Queer Methods in Sociology , advancing interdisciplinary queer research methodologies. Current projects include a historical analysis of transgender research in 1950s sociology via the 'Agnes' case and a study on major life changes such as gender transitions or religious conversions. Her recent publications address LGBTQ+ health disparities among older adults, digital ethnography innovations, and the legacy of Changing Women in a Changing Society . Schilt has co-directed films exploring transgender history and contributed to debates on gender essentialism and cultural panic. She previously directed the Center for the Study of Gender & Sexuality at UChicago and remains active in academic advocacy. Her work bridges sociology, ethnography, and queer theory, emphasizing both empirical rigor and cultural critique.