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Xudong FanView profile

Assistant Professor

• Urban Water Systems
• Resilience and Sustainability
• Artificial Intelligence
• +3 more

Xudong (Andrew) Fan is an Assistant Professor in the Department of Civil, Structural and Environmental Engineering at the University at Buffalo (UB), part of the School of Engineering and Applied Sciences. His research focuses on urban water systems, resilience and sustainability in water infrastructure, and applications of artificial intelligence in complex networks. He holds a PhD in Civil and Environmental Engineering from Case Western Reserve University (2022), an MS in Structural Engineering from Tianjin University (2017), and a BS in Civil Engineering from Central South University (2014). Dr. Fan's work integrates advanced computational methods with civil engineering challenges, particularly in enhancing infrastructure resilience through AI-driven approaches. His research spans smart city technologies, climate change adaptation, and bio-based solutions for soil stabilization and frost heave mitigation. Notable contributions include developing graph neural networks for spatially embedded network analysis and machine learning models for predicting water infrastructure failures. His publications reflect a strong emphasis on interdisciplinary problem-solving, combining data science with traditional engineering domains. While no specific awards are listed, his prolific output since 2020 highlights his active engagement in cutting-edge research areas such as AI for water systems and sustainable materials innovation.

Michael A. ChapmanView profile

Professor

• Image Processing
• 3D Topographic and Built Environment Modelling
• Deformation Measurement and Analysis
• +7 more

Dr. Michael A. Chapman serves as a Professor in the Department of Civil Engineering at Toronto Metropolitan University, specializing in image processing, deformation analysis, and sensor-integrated geospatial modeling for infrastructure applications. His work bridges civil engineering with advanced computational techniques for real-world problem solving. His academic credentials include a BT from Toronto Metropolitan University (1977), MSc from Ohio State University (1979), and PhD from Laval University (1989). BT: Toronto Metropolitan University (1977) MSc: Ohio State University (1979) PhD: Laval University (1989) Chapman's research centers on deformation monitoring of structures like the Rogers Centre roof, mobile mapping for road condition assessment, and sensor fusion for precision geospatial models. He pioneers applications in pavement deflection measurement using Doppler lasers and mobile laser scanning for infrastructure inspection, emphasizing practical engineering solutions derived from photogrammetry and image metrology. His methodology transforms mechanical observation into digital innovation for civil infrastructure management. His publication portfolio reveals a strong trajectory in merging deep learning with geospatial engineering, particularly in hyperspectral image classification and mobile mapping systems. These works consistently address civil infrastructure challenges through advanced computational approaches, demonstrating evolving sophistication from pavement crack extraction to sea ice mapping. His distinguished recognition includes: Wild Heerbrugg Photogrammetric Award - North America (1981) Chapman actively supervises graduate students and teaches core courses including CVL 207 (Graphics), CVL 352 (Geomatics Measurement Techniques), and CV8506 (Industrial Metrology). He emphasizes adaptive pedagogy to accommodate diverse learning styles, viewing teaching as both professional duty and personal passion. His industry-relevant research often involves partnerships with transportation authorities for real-time infrastructure assessment. His laboratory work focuses on mobile mapping systems and sensor integration platforms for deformation monitoring, particularly applied to large-scale structures and transportation networks. Current projects involve real-time pavement assessment technologies and 3D modeling of built environments using multi-sensor fusion approaches.

Ahmed El-RabbanyView profile

Professor

• Geomatics Engineering
• Satellite Positioning and Navigation
• Multi-sensor Integration
• +4 more

Dr. Ahmed El-Rabbany is a Professor in the Department of Civil Engineering at Toronto Metropolitan University, part of the Faculty of Engineering and Architecture Science. His expertise spans Geomatics Engineering, Satellite Positioning, and multi-sensor integration for autonomous systems. He holds a PhD from the University of New Brunswick and earlier degrees from Alexandria University. Education: BSc in Civil Engineering, Alexandria University (1984) MSc in Satellite Positioning, Alexandria University (1988) PhD in Geomatics Engineering, University of New Brunswick (1994) Research Interests: El-Rabbany focuses on advancing GPS and GNSS technologies, multi-sensor integration for autonomous vehicles and drones, hydrographic surveying, and applications of LiDAR in urban mapping. His work emphasizes practical solutions for navigation, environmental monitoring, and smart infrastructure. Publications: His research spans GPS theory, multi-constellation GNSS analysis, and sensor fusion. A key contribution is his textbook Introduction to GPS , widely recognized in the field. Awards: Service Recognition Awards (2017, 2013) Merit Award (2009) Certificate of Appreciation from FIG (2006) Professional Contributions: El-Rabbany leads the Satellite Navigation Lab and serves on editorial boards for journals like Geomatica and Journal of Navigation . He has organized major international conferences and held leadership roles in professional organizations such as the Canadian Institute of Geomatics and the International Federation of Surveyors (FIG). Labs/Teams: Director of the Satellite Navigation Lab, focusing on cutting-edge GPS/GNSS research and applications.

• Automation Engineering
• Robotics
• Materials Science
• +3 more

Andrés Suárez García is an Assistant Professor at the University of Vigo's Department of Systems and Automation Engineering. His teaching includes courses on Systems and Control Engineering, Industrial Computing, Robotics, and Automation Fundamentals. He has consistently taught across multiple academic years from 2014/2015 to 2024/2025, covering disciplines like structural mechanics, fluid dynamics, and manufacturing quality control. His research focuses on interdisciplinary engineering applications, emphasizing automation, robotics, additive manufacturing, and energy systems. Notable projects include optimizing 3D printing parameters, analyzing lithium-ion battery health using machine learning, and developing IoT-based educational platforms. He also explores naval and military engineering challenges, such as energy storage for submarines and structural design for space exploration vehicles. Over 20+ supervised final-year projects highlight his mentorship in cutting-edge technologies like piezoelectric energy harvesting, supercapacitor integration in military vessels, and AI-driven anomaly detection in maritime routes. His work bridges theoretical engineering principles with practical applications in defense, environmental monitoring, and sustainable infrastructure.

Silvia ToluView profile

Associate Professor

• Neurorobotics
• Bio-inspired Control Systems
• Neuromorphic Engineering
• +3 more

Silvia Tolu is an Associate Professor at the Technical University of Denmark's Department of Electrical and Photonics Engineering, specializing in Neurorobotics. She leads the NeuroRobotics Technology Lab (NRT-LAB), focusing on bio-mimetic control architectures for compliant robotic systems. Her research integrates neuroscience, computer science, and biology to develop solutions for assistive robotics and neurodegenerative disease diagnosis. Her research interests span: Neuro-robotics and neuromorphic engineering Bio-inspired control systems and adaptive motor control Machine learning for robotic applications Human-robot compliant interaction Cerebellar control models Publications primarily focus on neurorobotics, bio-inspired control, and human-robot interaction, with recent advances in learning-based control systems for soft robots and aerial manipulation. Awards include the AEG Elektrofonden Research Grant and funding for human-robot interaction safety research. Current projects include LOCOPD (Lundbeck Foundation), AEROTRAIN (EU Marie Curie ITN), and compliant human-robot interaction systems. She supervises multiple PhD students in neurorobotics and maintains international collaborations across Europe and Asia. Laboratory resources include advanced robotic platforms for musculoskeletal and soft robot control.

Jiong TangView profile

Professor

• System Dynamics
• Control
• Sensing and Automation
• +7 more

Jiong Tang is a Pratt & Whitney Chair Professor in Design and Manufacturing at the University of Connecticut , where he also serves as Co-Director of the Management and Engineering for Manufacturing Program . He received his B.S. and M.S. in Applied Mechanics from Fudan University, China (1989 and 1992), and his Ph.D. in Mechanical Engineering from Pennsylvania State University (2001). Prior to joining UConn, he worked at the GE Research Center as a research engineer. Research Interests : System dynamics, control theory, smart materials, vibration suppression, uncertainty propagation, computational intelligence, and multi-physics system modeling. Current Projects : Digital twin development for aerospace materials, physics-informed machine learning in manufacturing, adaptive metasurface design, and optimization of cooperative robotics. Methodological Focus : Combines Bayesian deep learning , Gaussian process metamodeling , transformer-based architectures , and multi-fidelity data fusion for industrial applications. His work emphasizes smart sensing , electromechanical integration , and uncertainty-robust inverse analysis . Collaboration : Research funded by federal agencies and industrial partners , with particular emphasis on aerospace and manufacturing technologies. His recent publications highlight generative adversarial networks for defect detection , piezoelectric metamaterials , and physics-guided neural network architectures across mechanical, structural, and composite systems.

John ProvisView profile

Visiting Professor

• Cement Chemistry
• Materials Science
• Sustainable Construction
• +3 more

Dr. John Provis is the Group Leader for Cement Systems at the Paul Scherrer Institute (PSI) in the Laboratory for Waste Management (LES). He holds a PhD in Chemical Engineering from the University of Melbourne, Australia, and was previously the Professor of Cement Materials Science and Engineering at the University of Sheffield, UK (2012–2023). His research focuses on cement chemistry, sustainable construction materials, and nuclear waste management, with a strong emphasis on standardization and beamline analysis. Provis has authored over 300 journal articles and secured major grants, including an ERC Starting Grant. He is a Fellow of multiple prestigious societies and has received awards such as the RILEM Robert L'Hermite Medal and a Doctor Honoris Causa from Universiteit Hasselt. He has supervised over 100 PhD/postdoc researchers and serves as an editorial board member for journals like Cement and Concrete Research and Materials and Structures . His research interests span cement durability, geopolymer development, and the environmental impact of construction materials. Provis also advises governments and agencies globally on funding and policy, contributing to projects like the Hanford Nuclear Reservation review. His work bridges academic research with industrial applications, emphasizing innovation in low-carbon materials and waste management solutions.

Ali MirzaghorbanaliView profile

Associate Professor

• Geomechanics
• Mining Engineering
• Civil Geotechnical Engineering
• +6 more

Ali Mirzaghorbanali is an Associate Professor of Geotechnical Engineering at the University of Southern Queensland, affiliated with the School of Engineering and the Centre for Future Materials. His career spans roles from Lecturer (2017) to Senior Lecturer (2019) before his current position since 2023. He holds a BEng from Isfahan University of Technology (2007), an MPWE from Curtin University (2009), and a PhD from the University of Wollongong (2014). His research focuses on geomechanics, mining sustainability, grouting technology, and rock bolt systems, with over 100 publications and significant industry collaboration. Notable contributions include advancing cable bolt performance evaluation, sustainable grout development using waste materials, and numerical modeling of geotechnical systems. His work aligns with industry needs, evidenced by $4.6M in grants, including ACARP projects and industry partnerships with companies like Jennmar Australia and BHP. Mirzaghorbanali has been honored with prestigious awards such as the UniSQ Excellence Award for Early Career Researcher (2020) and Wiley Better Future Award (2018). He supervises doctoral students in areas like sustainable grout development, rock bolt technology, and circular economy applications. His editorial roles include Geotechnical and Geological Engineering and the Resource Operators Conference proceedings. Key projects include the 'Carbolt™ Prototype' (ACARP) and 'Sustainable Amended Concrete' (OT Mine). His research bridges academia and industry, addressing challenges in mining safety, resource efficiency, and environmental sustainability.

Huaxia WangView profile

Assistant Professor

• Wireless Communications
• Deep Learning
• Robotics
• +6 more

Huaxia Wang is an Assistant Professor in the Department of Electrical & Computer Engineering at Rowan University, part of the Henry M. Rowan College of Engineering. He holds a Ph.D. in Electrical Engineering from Stevens Institute of Technology (2018) and previously served as an Assistant Professor at Oklahoma State University (2020–2023). His research focuses on deep reinforcement learning, adversarial networks, meta-learning, graph neural networks, robotic control, and wireless communications. Education: Ph.D., Electrical Engineering, Stevens Institute of Technology (2018) M.S., Electrical Engineering, Stevens Institute of Technology (2014) B.S., Information Engineering, Southeast University, China (2012) Research interests include distributed control in wireless communications, robotic arm control in virtual environments, and multimodal learning for visual inspection. Recent work emphasizes applications in healthcare (e.g., lung ultrasound scoring) and infrastructure monitoring (e.g., concrete defect classification). Scientific Awards: Charles Kao Best Paper Award (2024) Grants/Projects: $100K from AeroDefense (2025–2026) $500K from the Department of Energy (2023–2025) $250K from the Institute for Advanced Engineering, Korea (2022–2027) His work integrates AI-driven solutions for robotics, communications, and healthcare, with a focus on practical applications such as remote robotic control and robust signal processing.

• Transportation Engineering
• Sustainable Infrastructure
• Electric Vehicle Adoption
• +4 more

Konstantina Gkritza is a Professor of Civil and Construction Engineering at Purdue University, affiliated with the School of Civil Engineering. Her research focuses on transportation infrastructure, electric vehicle adoption, urban mobility systems, and socio-economic impacts of transformative technologies. She has led studies on dynamic wireless charging, autonomous vehicle perceptions, and climate adaptation in transportation networks. Her work integrates advanced analytics like machine learning (e.g., GAN-based forecasting) with policy analysis. Key areas include: 1) EV adoption drivers at ZIP-code levels, 2) shared mobility post-pandemic, 3) infrastructure equity in rural regions, and 4) behavioral intentions toward autonomous vehicles. Recently, she's collaborated with INDOT on infrastructure project efficiency improvements and pilot projects for in-motion charging systems. Research outputs highlight interdisciplinary approaches, combining geospatial analysis, consumer surveys, and agent-based modeling. Current projects examine truck electrification barriers, solar potential-vehicle uptake linkages, and economic resilience through transportation metrics. Her work informs policy decisions at state and national levels, particularly in Indiana's EV strategic planning. Notable methodologies include latent class analysis for mobility perception segmentation and multi-criteria frameworks for infrastructure deployment. She maintains active participation in transportation resilience and sustainability initiatives, with publications spanning over 20 years of impactful research.

• Environmental Science
• Computational Science
• Biogeochemistry
• +3 more

Jonathan Sauder is a Researcher and Doctoral Assistant at EPFL, affiliated with the School of Architecture, Civil and Environmental Engineering (ENAC) and the Institute of Infrastructure and Environment (IIE). He is part of two laboratories: the Computational Science Laboratory for Environment and Earth Observation (ECEO) in Sion and the Biogeochemistry Laboratory (LGB) in Lausanne. His research focuses on environmental science, computational methods applied to coral reef ecosystems, deep learning, and signal processing. He is enrolled in the doctoral program in Civil and Environmental Engineering at EPFL. His work bridges environmental science and artificial intelligence, with notable contributions to coral reef monitoring using 3D mapping, semantic segmentation of benthic environments, and self-supervised learning techniques for underwater imaging. He has also explored structured sparse matrices in signal recovery and neural-augmented algorithms for iterative processes. His research locations include EPFL Valais Wallis (Sion) and the EPFL main campus in Lausanne, with labs located at ALP 2 011 (Sion) and GR C2 524 (Lausanne). He collaborates with interdisciplinary teams in environmental engineering and computational science. Professional activities include membership in the EDOC doctoral school (EDCE) and engagement in international conferences. His research themes emphasize scalable solutions for environmental monitoring and advancing deep learning applications in geoscience and marine biology.

Karl G. LindenView profile

Professor

• Environmental Engineering
• Water and Wastewater Treatment
• UV Disinfection Technology
• +3 more

Karl G. Linden is the Mortenson Professor in Sustainable Development at the University of Colorado Boulder, serving as Department Chair of Civil, Environmental and Architectural Engineering and Associate Director of the Mortenson Center in Global Engineering. He holds affiliations with the College of Engineering and Applied Science and the Mortenson Center in Global Engineering, focusing on water sustainability and environmental engineering. Education: Ph.D., Civil and Environmental Engineering (UC Davis, 1997); M.Sc. (UC Davis, 1993); B.Sc., Agricultural and Biological Engineering (Cornell University, 1989). Research Interests: His work centers on UV-based water treatment, advanced oxidation processes, and sustainable water infrastructure for developing communities. Key areas include disinfection efficacy, pathogen inactivation, and global health applications. He emphasizes translating research into practical solutions for small-scale systems and developing regions. Recent Publications: Over 180 peer-reviewed articles, including studies on UV-LED disinfection, far-UVC radiation for pandemic control, and sustainable sanitation systems like Sol-Char. Recent work explores UV advanced oxidation with nitrate sensitization, biofilm control, and solar-driven remediation. Scientific Awards: Recipient of the 2023 International Ultraviolet Association Lifetime Achievement Award, 2020 Clarke Prize, AAAS Fellowship, and multiple industry recognitions for innovation in water treatment. His AEESP leadership has addressed diversity and inclusion in engineering. Advising & Grants: Advised students such as Sara Beck and Austa Parker, recipients of AEESP Dissertation and Student Paper Awards. Funded by NSF, EPA, and Gates Foundation, his research bridges academia and industry. Collaborations span global institutions like Technical University of Munich and University of Tokyo. Labs/Teams: Leads initiatives at the Mortenson Center and Water-Energy Nexus Theme, advancing UV technologies and global water systems. Involved in international projects like the DRIP Concept for drought resilience in Africa.

• Civil Engineering
• Infrastructure Maintenance
• Climate Change Adaptation
• +3 more

Irina Stipanovic is an Assistant Professor specializing in Market Dynamics, focusing on infrastructure maintenance, climate change adaptation, and railway systems. Her research integrates advanced technologies like Digital Twins and machine learning to enhance decision-making in civil engineering contexts. Her work addresses critical challenges in infrastructure management, including risk-based maintenance scheduling, structural health monitoring, and flood resilience. She explores innovative methods such as entity-embedding neural networks and vision-based 3D inspections to improve predictive maintenance and asset lifecycle management. Key themes in her research include: Railway earthwork maintenance under climate change Multi-objective decision models for infrastructure prioritization Integration of Structural Health Monitoring (SHM) into Digital Twin platforms Resilience planning for critical infrastructure against floods and other hazards She has contributed to EU initiatives on standardization of Digital Twin applications and has published extensively on railway, tunnel, and bridge management. Her work emphasizes data-driven approaches to sustainable infrastructure solutions.

Josep CasanovasView profile

Professor

• Modelling and Simulation
• Internet and Information Systems
• Urban Mobility
• +4 more

Josep Casanovas is a Full Professor at the Statistics and Operations Research Department of the Technical University of Catalonia (UPC), affiliated with the Barcelona School of Informatics. He previously served as head of inLab FIB (2012-2020) and as dean (1998-2004) and vice-rector (2006-2011) of UPC, leading strategic initiatives in university governance and ICT policies. His research focuses on Modelling and Simulation , Internet and Information Systems , and Urban Mobility . He has led projects for the European Union, including C-ROADS Spain, REMEDiAL, and ECHORD++, addressing intelligent transport, software automation, and robotic innovation. Recent publications highlight his work on agent-based simulation for urban health, deep learning applications in traffic and energy savings, and wildfire management tools . He co-directs LogiSim and coordinates the Severo Ochoa Research Excellence Program at the Barcelona Supercomputing Center (BSC-CNS).

• Hydrology
• Coastal Sciences and Engineering
• Water Resources Management
• +3 more

Prof. Dr. Mehmet Ozger is an Associate Professor at the Civil Engineering Department of Istanbul Technical University, specializing in Hydrology, Coastal Sciences and Engineering, and Water Resources Management. He holds a PhD in Water Engineering from Istanbul Technical University. His research focuses on climate variability, water resource optimization, and environmental modeling. Ozger has led numerous projects including hydrodynamic modeling of Istanbul Strait, flood risk assessments in Rize Province, and artificial wetland systems construction. He has also contributed to international collaborations on wave energy systems and drought prediction. His work frequently employs advanced computational methods like machine learning, fuzzy logic, and GIS-based decision frameworks. Ozger’s expertise is further reflected in his advisory roles for TÜBİTAK projects and executive responsibilities in high-budget engineering initiatives. Education: BSc (1995), MSc (2001), PhD (2007) in Civil Engineering/Water Engineering from ITU Labs: Hydraulics Laboratory at ITU Ayazaga Campus Research Interests: Climate change impacts on hydrology, urban flood management, and sustainable water resource systems. He has published extensively on topics like rainfall-runoff modeling, groundwater vulnerability assessment, and energy dissipation in hydraulic structures. Ozger’s projects often address real-world challenges such as dam optimization, coastal tunnel hydrodynamics, and artificial recharge systems in arid regions. Notable Projects: Technical reports for Golden Horn Tunnel hydrodynamics, Istanbul Canal environmental impact assessments, and flood risk mapping in Istanbul. He has secured funding for projects totaling over ₺2 million, including studies on wave energy conversion and drought forecasting in Texas.