جست‌وجوی استاد و پژوهشگر

• Automation Engineering
• Robotics
• Materials Science
• +۳ مورد دیگر

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 Toluمشاهده پروفایل

دانشیار

• Neurorobotics
• Bio-inspired Control Systems
• Neuromorphic Engineering
• +۳ مورد دیگر

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 Tangمشاهده پروفایل

استاد

• System Dynamics
• Control
• Sensing and Automation
• +۷ مورد دیگر

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 Provisمشاهده پروفایل

استاد مهمان

• Cement Chemistry
• Materials Science
• Sustainable Construction
• +۳ مورد دیگر

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 Mirzaghorbanaliمشاهده پروفایل

دانشیار

• Geomechanics
• Mining Engineering
• Civil Geotechnical Engineering
• +۶ مورد دیگر

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 Wangمشاهده پروفایل

استادیار

• Wireless Communications
• Deep Learning
• Robotics
• +۶ مورد دیگر

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
• +۴ مورد دیگر

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
• +۳ مورد دیگر

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. Lindenمشاهده پروفایل

استاد

• Environmental Engineering
• Water and Wastewater Treatment
• UV Disinfection Technology
• +۳ مورد دیگر

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
• +۳ مورد دیگر

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 Casanovasمشاهده پروفایل

استاد

• Modelling and Simulation
• Internet and Information Systems
• Urban Mobility
• +۴ مورد دیگر

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
• +۳ مورد دیگر

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.

• Transportation Planning
• Traffic Engineering
• Public Transport Integration
• +۹ مورد دیگر

Assoc. Prof. Dr. Murat Ergün currently serves at Istanbul Technical University's Faculty of Civil Engineering, Department of Civil Engineering, specializing in transportation planning, traffic engineering, and sustainable infrastructure. He holds a PhD in Transportation Engineering and has contributed extensively to urban mobility, pavement engineering, and risk assessment in transportation systems. PhD (1993): Transportation Engineering, Istanbul Technical University MSc (1985): Transportation Engineering (Mixed), Istanbul Technical University BSc (1981): Civil Engineering, Uludağ University His research focuses on GIS integration for spatial transport analysis, centroid optimization in planning, and sustainable asphalt materials. Recent projects include risk assessment for urban roadside assets and dynamic creep analysis of polymer-modified asphalt. Collaborations with İ. Adalıoğlu dominate his 2025 publications. Key projects span from 2005 BAP initiatives to 2025 studies on autonomous vehicles in public transport. Though no specific scientific awards are listed, his Scopus h-index of 8 reflects significant scholarly impact.

• Construction Technologies
• Project Management
• Construction Management
• +۵ مورد دیگر

Assoc. Prof. Dr. Onur Behzat Tokdemir is an Associate Professor in the Civil Engineering Department at Istanbul Technical University (ITU), with prior affiliation at Middle East Technical University (METU). His expertise spans Construction Technologies, Project Management, and Construction Management, with a focus on integrating Artificial Intelligence (AI) and Machine Learning (ML) into infrastructure development. He holds a Ph.D. from Illinois Institute of Technology and has extensive industry experience in project management roles with firms like Renaissance Holding and Qatar Project Management. Education: B.Sc. from METU (1990-1995), M.Sc. from Illinois Tech (1995-1997), Ph.D. from Illinois Tech (1997-2003). His research emphasizes AI-driven solutions for construction safety, cost prediction, and digital twin applications. Notable projects include the EU-funded 'DIGITWINS4CIUE' and the strategic tender decision support system leveraging ML. Awards include the ITU Academic Performance Publication Award (2022-2024) and METU's Prof. Dr. Mustafa N. Parlar Award (2019). He has advised over 15 theses on topics like AI in safety assessment, labor efficiency prediction, and post-disaster housing frameworks. Active memberships include the American Society of Civil Engineers (ASCE) and the Chamber of Civil Engineers.

David Sheanمشاهده پروفایل

دانشیار

• Remote Sensing
• Geospatial Data Analysis
• Glaciology
• +۵ مورد دیگر

David Shean is an Associate Professor in Civil & Environmental Engineering at the University of Washington, with adjunct roles in Aeronautics & Astronautics and Earth and Space Sciences. His research focuses on remote sensing and geomatics to study Earth's cryosphere, including glaciers, snow, and ice sheets. He holds a Ph.D. from the University of Washington (2016) and advanced degrees from Brown University. Notable projects include SlideRule (cloud-based ICESat-2 processing) and NASA's High-Mountain Asia Team (HiMAT). He teaches courses like Geospatial Data Analysis with Python and Advanced Surveying. His work leverages modern data science, satellite imagery, and UAVs for high-resolution topographic analysis. Education: Ph.D., Earth and Space Sciences, University of Washington, 2016 Sc.M., Geology, Brown University, 2006 Sc.B., Geology-Physics/Mathematics, Brown University, 2004 Research Interests: Remote sensing, glaciology, planetary science, and hydrology. His work emphasizes automated data pipelines, cloud computing, and satellite stereo DEMs. Recent projects address ice shelf dynamics, snow depth mapping, and natural hazards like debris flows. His group develops open-source tools for processing NASA missions like ICESat-2 and commercial smallsat data. Labs & Teams: UW Terrain Analysis and Cryosphere Observation Lab Autonomous Flight Systems Lab eScience Institute Advising & Grants: Mentors PhD students in cryospheric science and geospatial analysis. Leads NASA-funded projects on STV mission technology, smallsat data analytics, and glacier mass balance. Collaborates with agencies like Malin Space Science Systems and Boston University.