Find Academic Supervisors

• Structural Dynamics
• Railway Engineering
• Structural Health Monitoring
• +7 more

Anders Rønnquist is a Professor and Head of the Department of Structural Engineering at NTNU's Faculty of Engineering. His research focuses on structural dynamics, railway infrastructure, and timber structures, with emphasis on reliability, safety, and innovative monitoring techniques. Collaborations include KTH Stockholm, University of Porto, and industry partners like Elektromotus and Vilnius-based entities. Research Interests Dynamic behavior of railway catenary systems and bridges Structural health monitoring using advanced sensors and machine learning Timber frame dynamics and connection stiffness modeling Wind-structure interaction in long-span bridges Conceptual form-finding in architectural engineering Recent Research Trends Recent work emphasizes data-driven approaches: Kalman filters for crosswind load estimation, deep learning for structural defect detection, and surrogate models for pantograph-catenary systems. Studies also address long-term monitoring of timber buildings and fatigue reliability of railway bridges under evolving traffic conditions. Education & Teaching Coordinates the Teknostart Master's program in Civil & Environmental Engineering. Teaches advanced courses in structural dynamics, steel structures, and railway catenary systems at NTNU. Active in interdisciplinary education bridging structural engineering and architecture. Research Groups Structural Dynamics Group Conceptual Structural Design Group

• Quantum Mechanics
• Cosmology
• Quantum Gravity
• +3 more

Dr. Ashmeet Singh is an Assistant Professor of Physics at Whitman College, located in Walla Walla, WA. His research focuses on quantum mechanics, cosmology, and quantum gravity, with particular interests in theoretical frameworks like information field theory and the application of computational tools such as GPU modeling. Prior to his faculty position, he was a postdoctoral Research Scholar at Caltech and a Visiting Affiliate at NASA's Jet Propulsion Laboratory. He holds a Ph.D. and Master's from Caltech (2020 and 2018) and an Integrated Master's from the Indian Institute of Technology Roorkee (2015). His work bridges foundational physics with experimental implications, including proposals for space missions like the Gravity Probe and GODDESS to detect dark energy. He is also passionate about teaching, having instructed the entire core physics curriculum at Caltech. His recent publications explore holographic principles, quantum field theory in finite-dimensional systems, and interdisciplinary ventures like AI in medical imaging. Though no formal awards are listed, his contributions span theoretical physics and applied collaborations. Advising and grant details are unspecified, but his research groups likely focus on quantum gravity and cosmology. He maintains a strong interest in amateur astronomy and astrophotography, reflecting his broader curiosity about the universe.

Zhiang ChenView profile

Researcher

• Geophysics
• Robotics
• Machine Learning
• +3 more

Zhiang Chen is a Postdoctoral Scholar Research Associate in Geophysics at the California Institute of Technology (Caltech). His work bridges geophysical research with robotics and machine learning for environmental monitoring. Research interests include: Development of low-cost robotic tools (e.g., Shakebot) for seismic studies Integration of UAVs, lidar, and zero-shot deep learning for geologic mapping Analysis of fault scarps, precariously balanced rocks, and volcanic deformation Optimization of environmental monitoring via decision-theoretic and digital twin frameworks Recent publications highlight interdisciplinary applications of robotics and machine learning in geophysics, focusing on 3D mapping of surface deformations, wildfire-induced geohazards, and autonomous detection of geologic features.

Rajeev RuparathnaView profile

Professor

• Civil Engineering
• Construction Management
• Sustainable Procurement
• +5 more

Rajeev Ruparathna is a Professor in the Department of Civil Engineering at the University of Windsor, Faculty of Engineering. His research focuses on resilient infrastructure systems, sustainable construction practices, and innovative technologies like Building Information Modeling (BIM). He leads projects addressing seismic isolation, sustainable procurement, and disaster-resilient building design. Notably, his work explores the integration of technology in Northern Canadian construction, pandemic-safe construction scheduling, and life-cycle assessment of infrastructure. Collaborations with industry and academic partners emphasize practical applications of BIM for safety, efficiency, and environmental impact reduction. Ruparathna’s research also extends to material reclamation frameworks for circular economy practices and climate-conscious building operations. His academic contributions span over two decades, with a strong emphasis on bridging theory and real-world construction challenges. Advising students like Mariah Saad reflects his mentorship in advancing future engineers.

Voon Hui LaiView profile

Research Fellow

• Natural Hazards
• Fibre-Optic Sensing (DAS)
• Environmental Seismology
• +6 more

Voon Hui Lai is a Research Fellow in the Research School of Earth Sciences at the Australian National University (ANU), part of the College of Science. Her work focuses on advancing seismic knowledge to enhance resilience against natural hazards and environmental changes. She uses cutting-edge technologies like Distributed Acoustic Sensing (DAS) for high-resolution subsurface and source characterization in both rural and urban settings. Dr. Lai holds a PhD in Geophysics from the California Institute of Technology (2020). Her research interests include natural hazards, environmental seismology, near-surface geophysics, and seismoacoustics. She contributes to interdisciplinary projects at the Institute for Climate, Energy & Disaster Solutions (ICEDS) and collaborates globally on initiatives like the Global DAS Month. Her research employs seismic arrays and waveform modeling to study phenomena such as volcanic eruptions, debris flows, and earthquake ground motion in sedimentary basins. Recent work includes urban seismic imaging in Melbourne and noise reduction techniques for DAS data. She is a co-investigator on grants exploring fiber-optic seismic networks and storm monitoring with AI-enhanced sensors. Key publications highlight DAS applications, volcanic dynamics at Kīlauea, and debris flow early warning systems. Her work bridges geophysical theory with practical tools for disaster risk mitigation, emphasizing real-world impact through innovative methodologies.

• Steel and Composite Systems
• Perforated Beams
• Structural Topology Optimisation
• +7 more

Konstantinos Daniel Tsavdaridis is a Full Professor in Civil Engineering at City, University of London, leading the Steel, Steel-Concrete Composite and Hybrid Structures group. He holds dual roles as a researcher, educator, and industry consultant, with expertise in structural design, seismic resilience, and sustainable construction. His academic journey includes a PhD from City University London and post-doctoral appointments at Leeds University and City University. Education: BEng in Civil Engineering (City University London, 2005) MSc in Structural Engineering (Imperial College London, 2006) PhD in Civil/Structural Engineering (City University London, 2010) Research focuses on innovative steel and composite systems, including perforated beams, topology optimization, and seismic-resistant design. His group pioneered 3D-printed modular connections and lightweight composite flooring. Key contributions include over 160 peer-reviewed publications and patents in structural engineering. Professional roles: Senior Fellow, Royal Academy of Engineering (2019) Membership: Institution of Civil Engineers (Fellow), Engineering Council (Chartered Engineer), and multiple international engineering societies. Grants and funding: EPSRC grants for modular building resilience and energy-efficient design Royal Academy Fellowship for 3D-printed connections Labs/Teams: Leads the Steel-Composite Structures Group and the 3DMBC (3D-Printed Modular Building Connections) initiative, collaborating with industry and global partners.

Michael PapoutsidakisView profile

Professor

• Automatic Control Systems
• Mechatronics
• Industrial Automation
• +8 more

Professor Michael Papoutsidakis is affiliated with the Department of Industrial Design and Production Engineering at the University of West Attica. His academic career spans research in industrial automation, mechatronics, and intelligent control systems, with a focus on applications in hydraulic/pneumatic systems, robotics, and Industry 4.0 technologies. PhD from Bristol Robotics Laboratory (2004) MSc in Automatic Control Systems from University of the West of England (2004) Graduated from TEI Piraeus Automation Engineering (2000) His research interests include: Modeling of fluid power systems AI-driven control algorithms Smart logistics and ERP systems Embedded systems for motion devices Autonomous robotic platforms Wireless sensor networks in industrial applications Recent publications highlight his work at the intersection of 3D printing, robotics, and Industry 4.0, including advancements in digital twins, biomimetic manufacturing, and drone technology. His research emphasizes practical implementations for industrial and educational contexts. 2005 Patent for robotic training base 2025 Digital Twin Systems research 2024 UAV fuzzy control systems Contact: mipapou@uniwa.gr

• Smart Textiles
• Occupational Safety
• Ergonomics
• +5 more

George Priniotakis is a Professor in the Department of Industrial Production Systems at the University of West Attica. He specializes in innovative textile technologies for multifunctional clothing, with a focus on medical and military applications, wearable sensors, and sustainable materials. His work bridges engineering, ergonomics, and environmental stewardship. University of Leeds – M.Sc. in Fiber Science and Technology (1992) University of Ghent – PhD in Conductive Textile Materials His research interests include: Smart systems using conductive textiles Risk management via wearable sensors Recyclable yarn development Innovative educational tools for engineering Professor Priniotakis has led numerous research projects as a scientific director and coordinator, participated in over 100 international conferences, and maintains an H-index of 12. He serves as President of the Organizing Committee for the biennial AITAE conference.

Vissarion PapadopoulosView profile

Professor

• Structural Engineering
• Computational Mechanics
• Stochastic Analysis
• +3 more

Vissarion Papadopoulos is a Professor in the Department of Structural Engineering at the School of Civil Engineering, National Technical University of Athens (NTUA). His office is located at the Statics and Aseismic Research Laboratory, with contact details including email vpapado@central.ntua.gr and phone 210 772 4158. He has maintained an active research profile since at least 2016, focusing on advanced computational methods in structural engineering. His primary research domains include: Structural Engineering and Computational Mechanics Stochastic Analysis and Uncertainty Quantification Multiscale Modeling of Composite Materials Machine Learning for Engineering Simulations Optimization of Structural Systems Thermomechanical Behavior of Advanced Materials Analysis of his recent publications reveals a decisive shift toward integrating deep learning frameworks with traditional computational mechanics. His work demonstrates consistent innovation in accelerating solutions for parametric and transient structural problems through transformer networks, Bayesian inference, and physics-informed neural networks. Key application areas include carbon nanotube reinforced composites, sustainable automotive design, and seismic-resistant structures, with emphasis on enhancing computational efficiency while maintaining accuracy. He is affiliated with NTUA's Statics and Aseismic Research Laboratory, which specializes in structural dynamics, earthquake engineering, and advanced computational methodologies for civil infrastructure analysis and design.

Mustafa ULAŞView profile

Assistant Professor

• Data Mining
• Big Data
• Machine Learning
• +7 more

Mustafa ULAŞ is an Assistant Professor in the Software Engineering Department at Fırat University, Turkey. He also serves as a University Advisor and Coordinator of the Digital Transformation and Software Office at Fırat University since October 2020. With academic roots entirely at Fırat University, he has established himself as a prominent researcher in data science and software engineering. Born in November 1981 in Elazığ, Turkey PhD in Electrical-Electronics Engineering (2011) Master's in Computer Engineering (2006) Bachelor's in Electrical-Electronics Engineering (2003) Dr. ULAŞ's research spans multiple domains of computer science and engineering with particular emphasis on practical applications. His work bridges theoretical computer science with real-world problems in healthcare, finance, and industrial systems. Recent publications reveal a strong focus on machine learning applications, especially in medical diagnostics and explainable AI, while maintaining his longstanding interest in VLF signal analysis for earthquake prediction. His publication record shows a clear evolution from foundational work in database systems and medical imaging to cutting-edge research in deep learning and explainable AI. The most recent articles (2024-2025) predominantly focus on healthcare applications of machine learning, particularly diabetes and cancer diagnosis, while maintaining parallel research streams in industrial applications, financial analytics, and drone network optimization. This multidisciplinary approach demonstrates his ability to adapt core computational techniques to diverse problem domains. Dr. ULAŞ has been actively involved in numerous research projects, including TÜBİTAK-funded initiatives such as the 'Enriched Virtual Laboratory' and 'A New Approach in Teacher Education: Effective Blended Learning.' His project portfolio spans infrastructure development, educational technology, and advanced research applications. As an educator, he teaches courses including C Programming and Algorithms, Internet-Based Programming, Server Operating Systems, and Web Project Management. His administrative roles include serving as University Advisor and Coordinator of the Digital Transformation and Software Office at Fırat University since 2020.