جست‌وجوی استاد و پژوهشگر

José Luis Chávezمشاهده پروفایل

استاد

• Agricultural Water Management
• Hydrologic Science
• Remote Sensing Applications
• +۴ مورد دیگر

José Luis Chávez is a Professor in Civil and Environmental Engineering at Colorado State University. He specializes in irrigation engineering, water management, and remote sensing applications in agriculture. His academic career includes a B.S. from Universidade Federal da Paraiba (1992), an M.S. in Irrigation Engineering (Utah State University, 1999), and a Ph.D. in Biological and Agricultural Engineering (Utah State University, 2005). Dr. Chávez’s research focuses on optimizing irrigation practices through evapotranspiration (ET) modeling, remote sensing technologies, and precision irrigation strategies. He explores crop water use efficiency, soil moisture dynamics, and the integration of multispectral imaging for irrigation scheduling. His work bridges hydrology, agronomy, and engineering to address water scarcity challenges in agricultural systems. Key contributions include advancing SEBAL-A algorithms for ET estimation under advective conditions, developing crop coefficient models using remote sensing, and improving irrigation management techniques in semi-arid regions. He teaches courses on irrigation systems design, water management, and drainage engineering. His professional affiliations include the American Society of Civil Engineers and the U.S. Commission on Irrigation and Drainage. While no awards are explicitly mentioned, his extensive publications reflect significant contributions to agricultural water management and remote sensing science.

• Civil Engineering
• Materials Engineering
• Resources Engineering and Extractive Metallurgy
• +۴ مورد دیگر

Luis Ibarra is an Associate Professor in the Department of Civil & Environmental Engineering at the University of Utah, where he has been employed since 2010. He was promoted to Associate Professor in July 2016 after serving as an Assistant Professor from 2010 to 2016. He earned his PhD in Civil and Environmental Engineering from Stanford University in 2004. Research Interests Dr. Ibarra's research spans multiple domains of civil engineering with particular emphasis on seismic performance of structures, nuclear safety, and material behavior. His work integrates computational mechanics, experimental testing, and probabilistic risk assessment to address challenges in structural resilience under extreme loading conditions. Primary research themes include: Seismic modeling of nuclear containment structures and fuel rod behavior Development of advanced hysteretic models for structural components Earthquake engineering applications for bridges and buildings Probabilistic risk assessment of structural systems Publications Overview Recent publications (2018-2025) demonstrate Dr. Ibarra's focus on computational mechanics applied to nuclear and structural safety, featuring advanced finite element modeling, probabilistic methods, and experimental validation. Recurring themes include seismic vulnerability of nuclear facilities, deterioration modeling of structural components, and innovative retrofitting techniques for earthquake resilience. The research consistently integrates material science fundamentals with structural engineering applications. Awards and Recognition Ben Jacobsen Kingfisher Bend Ranch Award for exceptional teaching effectiveness (2015) Teacher of the Year Award, CvEEN Department (2014) Teacher of the Year Award in the CvEEN Department (2013) Milek Fellowship Award, American Institute of Steel Construction (2013) Academic Activities Dr. Ibarra maintains an active research program supported by multiple grants including seismic modeling of nuclear structures, machine learning applications for collapse prediction, and performance of retrofitted bridges. He regularly advises graduate students in thesis research and teaches courses in structural dynamics, steel design, and structural analysis. His professional service includes editorial board membership for the Tall and Special Buildings Journal and community outreach through earthquake education programs for high school students.

Tzahi Y. Cathمشاهده پروفایل

استاد

• Water Treatment
• Wastewater Treatment
• Membrane Processes
• +۱۲ مورد دیگر

Dr. Tzahi Y. Cath is a Professor in the Department of Civil and Environmental Engineering at the Colorado School of Mines , where he leads innovative research in water and wastewater treatment technologies. He serves as Director of the Advanced Water Technology Center (AQWATEC), Co-Director of the Colorado Center for a Sustainable WE2ST, and holds a Joint Appointment at the National Renewable Energy Laboratory (NREL) Water and the Environment division. His work focuses on enabling water reuse through membrane processes, energy-water systems, and data-driven solutions. Education PhD in Environmental Engineering, University of Nevada, Reno (2003) MS in Environmental Engineering, University of Nevada, Reno (2001) BSc in Mechanical Engineering, Tel Aviv University (1992) Research Interests Dr. Cath's research spans membrane filtration (forward osmosis, pressure-retarded osmosis), desalination (membrane distillation, nanofiltration), and direct potable reuse technologies. He explores integrated water-energy systems , data science applications in water treatment, and mineral harvesting from brines. His projects address oil and gas produced water treatment, scalability of membrane systems, and sustainability in industrial water use. Article Trends His recent publications emphasize reverse osmosis, membrane distillation, and data science tools for process optimization. Key subfields include PFAS removal, lithium recovery, ammonia resource recovery, and computational fluid dynamics modeling. Emerging themes are buoyancy-driven heat transfer, economic assessments of thermal desalination, and governance frameworks for net-zero urban water systems in arid regions.

• Environmental Biotechnology
• Wastewater Treatment Processes
• Quantum Computing Applications
• +۶ مورد دیگر

Po-Heng (Henry) Lee is an Associate Professor in the Department of Civil and Environmental Engineering at Imperial College London, part of the Faculty of Engineering. His research focuses on wastewater engineering, environmental biotechnology, and quantum computing applications in microbial systems. He leads the Industrial Biotechnology Hub, Microbiome Network, and Quantum Engineering, Science and Technology initiatives. Dr. Lee holds a PhD from Iowa State University (2010) and earlier degrees from institutions in Taiwan. His academic career includes roles at Hong Kong Polytechnic University (2012-2018) and Inha University (2010-2012) before joining Imperial College in 2019. His research integrates quantum information theory with environmental engineering, exploring electron transfer mechanisms, anaerobic digestion optimization, and water reuse in AI/semiconductor contexts. Techniques include quantum computing platforms (IBM Qiskit, Xanadu), meta-omics, and Gaussian Bosonic Sampling. Key application areas include enhancing antibiotic and nitrogen removal via microbiome-conductive material interactions, smart chemical dosing for industrial cooling systems, and optimizing full-scale wastewater plants. His work bridges quantum mechanics and microbial ecology to address sustainability challenges. Dr. Lee's lab develops innovative solutions for resource recovery, greenhouse gas reduction, and bioplastic production. Major collaborations focus on AI-driven process control and semiconductor manufacturing wastewater treatment.

• Accounting
• Financial Accounting
• Macroeconomics
• +۵ مورد دیگر

Ryan T Ball is a Clinical Assistant Professor of Accounting at the University of Michigan's Ross School of Business. His research focuses on the interplay between high-frequency economic activities and low-frequency accounting information, with applications in macroeconomic forecasting, tax decision analysis, and debt market contracting. He holds a PhD and MBA from the University of North Carolina, along with engineering degrees from Ohio University. Education: PhD in Accounting, University of North Carolina (2008) MBA, University of North Carolina (2003) MS in Structural Engineering, Ohio University (1998) BS in Civil Engineering, Ohio University (1996) His research explores two primary areas: (1) mixed-data sampling methodologies for linking accounting metrics to macroeconomic trends, and (2) the contractual and valuation roles of accounting information in debt markets. Notable contributions include pioneering work on real-time earnings forecasting and the valuation implications of equity cross-listings. Teaching Excellence: Five-time recipient of the Ross Neary Teaching Award and first faculty member to win the University of Michigan Golden Apple Award (2016). Known for innovative pedagogical approaches, including viral TikTok educational content. Research Trends: Recent work emphasizes machine learning applications in panel data analysis, high-frequency financial nowcasting, and behavioral aspects of managerial decision-making. His 2024 paper on price-earnings ratio nowcasting exemplifies cutting-edge integration of econometric techniques with real-time data.

• Water Quality
• Wastewater Treatment
• Water Recycling
• +۲ مورد دیگر

Professor Stuart Khan is Head of School and Professor in the School of Civil Engineering at the University of Sydney. He has secured funding for over 40 major competitive research projects and published over 200 peer-reviewed papers on water quality and treatment. His research encompasses drinking water, wastewater, recreational water systems, water recycling, and desalination. Research focuses on: Advanced water treatment technologies Fate and transport of contaminants Water recycling safety frameworks Sustainable sludge management practices Emerging contaminant remediation Publication analysis reveals strong focus on PFAS remediation, nature-based water treatment systems, wastewater epidemiology, and sustainable sludge management across international contexts. Recent work increasingly employs machine learning and Bayesian modeling for water quality prediction. Honors include professional fellowships: FIEAust (Engineers Australia) FTSE (Australian Academy of Technological Sciences) FRSN (Royal Society of New South Wales) FRSC (Royal Society of Chemistry)

Botao Liمشاهده پروفایل

مدرس

• Heritage Preservation
• Building Information Modeling
• Historic Architecture
• +۶ مورد دیگر

Botao Li is an Instructor and Ph.D. Candidate in the School of Architecture at Georgia Institute of Technology, part of the College of Design. His research focuses on Heritage Building Information Modeling (HBIM), integrating cutting-edge technologies like Terrestrial Laser Scanning (TLS), Unmanned Aerial Vehicles (UAVs), and photogrammetry for historic preservation. He has contributed to federally sponsored projects, including NCPTT and NPS-funded studies on enslaved dwellings and equalization schools. Li also leads ConCave, a student-led group with award-winning publications and international symposiums. His expertise spans architectural history, material studies, and machine learning applications in heritage documentation. Education: M.S. Arch (Georgia Tech, 2022); M. Arch (University of Kansas, 2020). His work spans global projects in Atlanta, SC, AL, Spain, and Turkey, including the Historic American Buildings Survey (HABS) submission for the First Congregational Church of Marion. He is an FAA Certified Remote Pilot and LEED AP BD+C. Research emphasizes defect monitoring, TLS applications, and HBIM frameworks. His publications explore UAV optimization, TLS systematic reviews, and stakeholder-driven HBIM guidelines. Li’s interdisciplinary approach bridges architectural history with digital innovation, addressing challenges in heritage preservation through technology. Grants include NCPTT and NPS funding. Advising and leadership roles include guiding ConCave’s initiatives. No explicit awards listed, but group achievements noted.

• Geographic Information Science (GIS)
• Spatial Analysis
• Public Health
• +۵ مورد دیگر

Dr. John Wilson is a Professor at the University of Southern California (USC), holding academic positions across multiple schools including Dornsife College of Letters, Arts and Sciences; Viterbi School of Engineering; Keck School of Medicine; and USC School of Architecture. He is the founding Director of the Spatial Sciences Institute and leads interdisciplinary research in spatial analytics, GIScience, and environmental health. His work integrates Geographic Information Systems (GIS), remote sensing, and spatial modeling to address challenges in community health, sustainability, and urban resilience. Dr. Wilson holds a PhD in Geography from the University of Toronto and advanced degrees from the University of Canterbury. His research emphasizes geodesign, digital terrain modeling, and the application of spatial technologies to public health and environmental science. He directs the Wilson Map Lab, which develops tools for healthier communities and resilient landscapes using BIM, GPS, and remote sensing technologies. His publications span GIScience, environmental health, and spatial data science, with over 130 articles and book chapters. Notable works include Environmental Applications of Digital Terrain Modeling and an upcoming book on spatial data science. He serves as Editor-in-Chief of Transactions in GIS and leads multiple research initiatives, including the Southern California Environmental Health Sciences Center and the Center for Knowledge-Powered Interdisciplinary Data Science. Recent research focuses on mobility patterns, PM2.5 exposure during pregnancy, and spatial equity in healthcare access. He has secured grants for sustainability solutions and collaborates internationally, including with the Chinese Academy of Sciences in Beijing.

Kerry Niceمشاهده پروفایل

پژوهشگر ارشد

• Urban Climate Modelling
• Artificial Intelligence
• Deep Learning
• +۵ مورد دیگر

Dr. Kerry Nice is a Research Fellow at the Melbourne School of Design (The University of Melbourne), specializing in urban climate modeling, artificial intelligence, and sustainable urban development. His work integrates software engineering expertise with environmental science to address urban challenges such as heat mitigation, active transport, and public health. He holds a PhD from Monash University, focusing on urban microclimate modeling (VTUF-3D) and the impact of vegetation/water-sensitive design on human thermal comfort. Research interests include: Urban modeling using artificial neural networks and deep learning Climate adaptation strategies for green/blue infrastructure Analysis of urban mobility patterns and bicycle infrastructure equity Impact assessment of irrigation and water management on urban cooling His publications (2020–2025) explore topics such as: System dynamics modeling for urban resilience Machine learning applications in thermal perception prediction Global pandemic mobility shifts and heat mitigation techniques He collaborates with the Transport, Health and Urban Design (THUD) research hub and maintains affiliations with the International Association for Urban Climate (IAUC) and Australian Meteorological & Oceanographic Society (AMOS).

Magued Iskanderمشاهده پروفایل

استاد

• Geotechnical Engineering
• Sustainable Construction Materials
• Foundation Engineering
• +۶ مورد دیگر

Magued Iskander is the Department Chair and Professor in the Civil and Urban Engineering Department at the NYU Tandon School of Engineering. With over 25 years of expertise, he focuses on geotechnical engineering, including foundation design, soil-structure interaction, and sustainable materials. His research emphasizes transparent soil modeling, high-strain rate soil behavior, and offshore geotechnology. He leads projects on machine learning applications for geotechnical analysis, pile capacity prediction, and UXO (unexploded ordnance) penetration studies. Research Interests: Transparent soil modeling for soil-structure interaction Sustainable piling using recycled polymers Geotechnical instrumentation and monitoring Offshore/marine foundation design High-strain rate soil mechanics Penetrating dynamics in granular media Publications highlight advancements in machine learning for geotechnical data analysis, projectile penetration mechanics, and tunneling-induced ground settlements. His work bridges experimental, computational, and AI-driven approaches to solve complex geotechnical challenges. He advises NYU Tandon’s Concrete Canoe and Steel Bridge teams, fostering student engagement in competitive engineering projects.

Andreas Hegyiمشاهده پروفایل

استادیار

• Traffic Flow Modelling
• Traffic Control Systems
• Connected and Automated Vehicles
• +۴ مورد دیگر

Dr. Andreas Hegyi is an Assistant Professor at TU Delft's Department of Transport & Planning, specializing in traffic flow modeling, control systems, and connected/automated vehicles. He holds a PhD from TU Delft (2004) and was a postdoctoral researcher at Ghent University. His research focuses on improving traffic efficiency through speed control and managing mixed environments of automated and manual vehicles. He teaches courses like Road Traffic Management and advises MSc/PhD students. He has authored over 100 publications and serves as an editor for IEEE Transactions on Intelligent Transportation Systems and Transportation Research Part C. His recent work explores cyclist priority systems using connected vehicles and reinforcement learning in traffic control. Education: PhD in Traffic Engineering (TU Delft, 2004), Postdoc at Ghent University. Research Interests: Traffic flow modeling, cooperative vehicle-infrastructure systems, data-driven traffic analysis. Awards & Roles: Program Chair of IEEE-ITSC 2013, General Chair of TRISTAN 2016, Editorial Board memberships.

• Traffic Systems Engineering
• Transportation Modeling
• Intelligent Transportation Systems
• +۳ مورد دیگر

Dr. V.L. Knoop is a Professor in Traffic Systems Engineering at Delft University of Technology's Civil Engineering & Geosciences school. His research focuses on advanced transportation modeling, autonomous vehicle systems, and data-driven mobility solutions. He has contributed over 250 publications and supervised multiple research projects. Notable awards include the Greenshields Prize (2012, 2015, 2016) and D. Grant Mickle Award (2016). Knoop has led editorial roles for Collective Dynamics and co-edited conference proceedings on Traffic and Granular Flow. His work bridges theoretical models with practical applications, addressing challenges in traffic efficiency, safety, and sustainable infrastructure. Recent media engagements highlight his expertise in traffic management solutions and autonomous vehicle technologies. Education: PhD in Civil Engineering (assumed) Research Interests: Development of macroscopic traffic flow models Integration of autonomous systems into existing transport networks Data analytics for traffic prediction and optimization Key Contributions: Large-scale car-following dataset analysis (Lyft Level-5 collaboration) Ramp metering optimization studies using empirical trajectory data Publications on adaptive cruise control and uncertainty-based decision-making in autonomous vehicles Labs/Teams: Traffic Systems Group at TU Delft Collaborations with Rijkswaterstaat (Dutch Ministry of Infrastructure) and Flitsmeister

• Predictive Maintenance
• Prognostics and Health Management (PHM)
• Decision Support Systems
• +۶ مورد دیگر

Dr. Wim J.C. Verhagen is an Associate Professor and Deputy Head of Department (Research & Innovation) in the School of Engineering at RMIT University, Melbourne. His research focuses on predictive maintenance, decision support systems, and aerospace engineering, with emphasis on data-driven models for aircraft systems. He holds industrial collaborations with global entities like Airbus, NASA, and KLM. Education: Former Assistant Professor at TU Delft (Netherlands), alumni of TU Delft. Academic roles include leadership in RMIT's Aerospace Engineering department since 2024. Research interests: Development of prognostics and health management (PHM) systems, maintenance decision support using NLP and mixed reality, and optimization of maintenance planning. Over 100 peer-reviewed publications. Industry projects: Principal investigator in EU-funded projects like Clean Sky 2 AIRMES (€5.6M H2020 ReMAP) and partnerships with Australian defense and aviation sectors (DSTG, CASG). Teaching: Coordinates courses in aircraft maintenance management, aviation quality systems, and analytical writing techniques. Supervises postgraduate and undergraduate research students.

Clara Marika Velteمشاهده پروفایل

دانشیار

• Fluid Mechanics
• Turbulence
• Turbulence Theory
• +۱۴ مورد دیگر

Clara Marika Velte is an Associate Professor in the Department of Civil and Mechanical Engineering at the Technical University of Denmark (DTU), where she serves as Head of the Turbulence Centre of Excellence. Her research is centered on fluid mechanics, particularly turbulence, with a focus on theoretical modeling, experimental design, and vortex dynamics. She is actively involved in major research initiatives funded by the European Research Council and the Poul Due Jensen Foundation. PhD in Experimental and Theoretical Fluid Mechanics, DTU (2006–2009) MSc in Turbulence, Chalmers University of Technology (2004–2005) Her research interests include turbulence theory, boundary layers, flow control, vortex dynamics, and the development of theoretical models for turbulent flows. She employs advanced techniques such as Proper Orthogonal Decomposition, Reynolds decomposition, and modal analysis to study non-equilibrium turbulence and jet dynamics. Her work bridges fundamental physics with practical applications in energy and environmental engineering. Recent publications explore triad interactions, spatio-temporal structure functions, and Lumley decomposition in turbulent round jets, indicating a strong trend toward mathematical and physical modeling of turbulence dynamics. These works are targeted at high-impact journals such as Physical Review Fluids and Journal of Fluid Mechanics , reflecting her leadership in advancing theoretical frameworks in fluid dynamics. Best paper award, SEMA’18 (2018) Kalundborg Refinery Prisen (2023) Selected for special issue in Experiments in Fluids (2010) Publication in Journal of Systemics, Cybernetics and Informatics (2009) Clara Velte supervises multiple PhD students and leads several active research projects, including the PDJF Turbulence Centre of Excellence and UniEqTURB, which challenge classical paradigms like the Richardson-Kolmogorov theory. She also contributes to academic service as a member of the Editorial Board for Philosophical Transactions of the Royal Society A . Her laboratory, the Turbulence Research Laboratory at DTU, fosters interdisciplinary collaboration and innovation in turbulence science. The Turbulence Centre of Excellence at DTU, under her leadership, operates as a state-of-the-art research hub integrating experimental, theoretical, and computational approaches. The center collaborates internationally and engages in public outreach, including media appearances on turbulence in aviation and climate systems.

André Borrmannمشاهده پروفایل

استاد

• Artificial Intelligence
• Building Information Modeling & Processing
• Digital Twinning
• +۷ مورد دیگر

Prof. Dr.-Ing. André Borrmann is an academic leader at the Technical University of Munich (TUM) , where he has headed the Chair of Computing in Civil and Building Engineering since 2011 (formerly Computational Modeling and Simulation). He serves as Director of the TUM Georg Nemetschek Institute - AI for the Built World since 2025 and Spokesperson for the Leonhard Obermeyer Center since 2013. Research Interests Artificial Intelligence in Civil Engineering Digital Twinning Building Information Modeling (BIM) Pedestrian Dynamics Knowledge Representation Construction Simulation His work focuses on AI application across the built environment lifecycle - from generative design to maintenance prediction - with significant contributions to BIM standardization and buildingSMART International IFC extensions. He co-authored the German Ministry of Transport BIM Roadmap and led the BIM4INFRA2020 project. Awards include the 2024 Konrad Zuse Medal and multiple best paper awards at international conferences.