Find Academic Supervisors

• Earthquake Engineering
• Structural Dynamics
• Numerical Modeling
• +7 more

Prof. Dr. Ercan Yüksel is a full Professor in the Department of Civil Engineering at Istanbul Technical University (ITU), College of Engineering. He has been a faculty member at ITU since 1990, progressing from Assistant Professor to Professor in 2017. His research focuses on earthquake engineering, structural dynamics, and numerical modeling, with applications in seismic design, energy dissipation, and structural health monitoring. PhD, Civil Engineering, Istanbul Technical University MS, Structural Engineering (with thesis), Istanbul Technical University BS, Civil Engineering, Istanbul Technical University His research interests are centered on earthquake engineering , particularly seismic input energy analysis , energy dissipation systems , reinforced and precast concrete structures , and seismic isolation . He actively investigates the dynamic behavior of structures under earthquake loads and develops innovative solutions for improving structural resilience. His work integrates advanced numerical modeling with experimental validation. Recent publications (2023–2025) highlight a strong focus on energy-based seismic design, performance of mechanical couplers, damping systems for high-voltage insulators, and fatigue behavior of railway tracks. These works are closely tied to real-world seismic events like the 2023 Kahramanmaraş earthquake, demonstrating applied and impactful research. His scientific recognition includes: Notable Work Award, Turkish Academy of Sciences (TÜBA), 2012 Golden Beam Award, Turkish Prefabricated Association, 2011 Prof. Yüksel is an active Principal Investigator on multiple research projects funded by ITU’s BAP program, covering topics such as smart sleepers for railway monitoring, novel seismic input energy spectra, and earthquake isolation for racking systems. He has supervised numerous theses and is involved in professional organizations including UNESCO-IPRED and the Turkish Earthquake Foundation. He leads research on structural health monitoring of ballasted railway lines using smart sleeper technology and is developing earthquake isolation systems for industrial storage racks. His lab integrates experimental testing with numerical simulation to validate new structural components under cyclic and biaxial loading.

Hamouda GhonemView profile

Professor

• High Temperature Deformation
• Metallic Alloys
• Creep-Fatigue-Environment Interactions
• +5 more

Hamouda Ghonem is a Professor in the Department of Mechanical, Industrial and Systems Engineering at the University of Rhode Island . He established the Mechanics of Materials Research Laboratory (MMRL) in 1981, focusing on experimental and computational studies of deformation and damage in advanced engineering materials under extreme conditions. Education: Ph.D., Mechanical Engineering, McGill University (1978) M.S., Mechanical Engineering, McGill University (1976) B.Sc., Nuclear Engineering, University of Alexandria (1969) Research Interests span high-temperature deformation of metallic alloys, creep-fatigue-environment interactions, dislocation-precipitate interactions, grain boundary mechanics, and ultrafine grain manufacturing. His work quantifies microstructural effects on material failure and develops predictive models for damage evolution in aerospace and nuclear materials. Scientific Awards include: Fellow of ASME Sabbatical appointments at European universities and aerospace research centers Laboratory Facilities at MMRL include: MTS servohydraulic testing machines Creep and high-strain rate (Split Hopkinson Bar, gas gun) systems Computational modeling with Abaqus, MATLAB, and in-house codes Microstructural analysis via SEM and optical microscopy Vacuum and high-temperature (-196°C to 1200°C) testing environments

Chris MaroneView profile

Professor

• Granular physics
• Geomechanics
• Earthquake physics
• +9 more

Chris Marone is a Full Professor (Professore Ordinario) at La Sapienza Università di Roma since 2020, with prior roles as Professor of Geophysics at The Pennsylvania State University (2003–2020) and Associate/Assistant Professor at MIT (1997–2000, 1992–1997). His research spans earthquake physics, geomechanics, and rock deformation. Ph.D. in Geophysics from Columbia University (1988) 40+ years of academic experience across multiple institutions His work focuses on frictional mechanics, slow earthquakes, and fault slip behaviors, integrating laboratory experiments and field observations. Recent themes include rate-state friction laws, rock-fluid interactions, and granular mechanics. Key trends in his publications reveal interdisciplinary approaches combining deep learning (2022), high-frequency seismic signatures (2022), and poromechanics (2022) with traditional geophysical methods. His research has dominated fault healing and stress dynamics for decades. ERC Advanced Grant: TECTONIC Louis Néel Medal (European Geosciences Union) Fellow of the American Geophysical Union Paul F. Robertson Award for Breakthrough of the Year Kerr-McGee Career Development Professorship

Helen JarvieView profile

Professor

• River Biogeochemistry
• Nutrient Cycling
• Eutrophication
• +5 more

Helen Jarvie is a Professor of Water and Global Environmental Change at the University of Waterloo, Canada. She holds adjunct and visiting professor positions at the University of Arkansas (Fluvial Sciences), Plymouth University (Environmental Chemistry), and the University of Tokyo (Water Quality Science), and is a UK Centre for Ecology & Hydrology Fellow. Her research centers on river-system biogeochemistry, with intense focus on nutrient (phosphorus and nitrogen) cycling, eutrophication, and water quality across watershed-to-global scales. She investigates how climate variability, land-use change, and human activities drive water-quality impairment, and develops strategies for improved nutrient stewardship to build resilience in water resources. Her work uniquely bridges the critical tension between phosphorus-dependent food security and water-quality protection, given phosphate rock's non-renewable status. Analysis of her 2015-2019 publications reveals dominant trends in phosphorus dynamics research, spanning watershed management, global phosphorus budgets, and the water-energy-food nexus. Key themes include unintended consequences of agricultural conservation practices on soluble phosphorus loads, stoichiometric responses to hydrologic extremes, and sustainable phosphorus stewardship frameworks addressing eutrophication while ensuring resource security for future food production.

Weiwei LinView profile

Associate Professor

• Structural Engineering
• Civil Engineering
• Materials Science
• +5 more

Weiwei Lin is an Associate Professor in the Department of Civil Engineering at Aalto University, specializing in structural engineering with a focus on bridge systems, composite materials, and structural health monitoring. His research explores fatigue behavior of steel structures, seismic performance of composite systems, and innovative repair techniques. He holds a PhD from Waseda University (2012), MSc from Southeast University (2009), and BEng from Southwest Jiaotong University (2006). Key research areas include: steel-concrete composites, bridge redundancy evaluation, replaceable energy dissipaters, and AI-driven infrastructure diagnostics. Lin leads projects like CCU Structure (EU Horizon Europe) and RCF Mobility initiatives, focusing on sustainable construction and material recyclability. He has published 120+ peer-reviewed articles and secured 6 major grants. Lin has received prestigious awards including the IABMAS Young Award (2014) and Outstanding Reviewing Award (2017). His lab collaborates globally, hosting researchers from institutions like Israel Institute of Technology and Tsinghua University. Current work emphasizes crowdsourcing-based bridge monitoring and physics-guided AI frameworks for infrastructure diagnostics.

Leon ShpaninView profile

Senior Lecturer

• Electrical Engineering
• Plasma Science
• Current Interruption
• +2 more

Leon Shpanin is a Senior Lecturer in Electronic and Electrical Engineering at Sheffield Hallam University, where he serves as Course Leader for MSc Automation Control and Robotics. He holds an MSc in Radio Frequency Engineering and a PhD in Electrical Engineering from the University of Liverpool. His research focuses on electrical engineering applications including renewable energy systems, HVDC circuit interruptions, and electromagnetic techniques for current interruption. He received the RAEng Award (2020) for developing next-generation circuit breakers for rail networks. Key projects: Development of Novel Energy Efficient Magnetic Scroll Air Motor (EPSRC) Smart control of multirotor drone propellers for vibration energy harvesting

• Power System Analysis
• Distribution System Optimization
• Electrical Load Management
• +7 more

Gianfranco Chicco is a Full Professor at the Politecnico di Torino , Italy, within the Department of Energy (DENERG). He serves as Scientific Director of the Electrical Power Systems research group and the Turin unit of the ENSIEL Consortium. A Fellow of IEEE (since 2018), he has held editorial leadership roles as Editor-in-Chief of Sustainable Energy, Grids and Networks and Subject Editor of Energy , while chairing major conferences like IEEE ISGT Europe 2017 and UPEC 2020. Education : Laurea (cum laude) in Electrical Engineering (1987), Ph.D. in Electrical Engineering (1992), Doctor Honoris Causa (2017, Polytechnic University of Bucharest; 2018, Technical University 'Gheorghe Asachi' of Iasi). Research Interests : Focus on power transmission and distribution systems , distributed energy resources , and multi-energy smart grids , with applications in artificial intelligence , load management , and power quality . His work addresses technical, economic, and environmental aspects of distributed generation and smart grid sustainability . Publications Trends : Recent articles emphasize photovoltaic power optimization , dynamic grid modeling , and multi-energy system coordination , reflecting expertise in renewable integration , clustering algorithms , and adaptive control . Key subfields include voltage stability , load forecasting , and blockchain for energy trading . Awards : IEEE Fellow (2018-) Best Paper Awards at SEST (2018, 2020) Doctor Honoris Causa (2017, 2018) 'Giancarlo Vallauri' Degree Prize (1988) Advising and Grants : Supervises PhD students in power converters , renewable integration , and high-voltage measurement methodologies . Leads European projects like H2020 MIGRATE and OSMOSE, focusing on grid resilience , clustering-based network planning , and multi-energy sustainability .

Antonio GriffoView profile

Professor

• Power Electronics
• Electric Drives
• SiC Power Converters
• +5 more

Professor Antonio Griffo holds the position of Professor of Power Electronics and Electric Drives at the University of Sheffield's School of Electrical and Electronic Engineering. He leads the Electrical Machines and Drives Research Group and is involved in the High Reliability Drives Group. His academic journey includes a MSc (2003) and PhD (2007) in Electrical Engineering from the University of Naples, followed by research roles at Bristol and Sheffield Universities before becoming a Lecturer in 2013 and later a Professor. His research focuses on advanced control of electric drives, SiC-based power electronics for aerospace/renewables, fault detection in machines, and thermal management. Key projects include modeling hybrid AC/DC power systems for 'More Electric Aircraft', sensorless control techniques, and real-time simulation methodologies. He has pioneered work on SiC converter reliability, insulation monitoring, and condition-based maintenance systems. Publications (15+ in top journals like IEEE Transactions) emphasize innovative solutions for power electronics challenges, including voltage stress mitigation, thermal modeling, and fault tolerance. His work bridges theory and application, addressing critical issues in aerospace, renewable energy, and electric vehicle systems. Griffo also contributes to educational advancements through modular training platforms for power electronics education. Labs/Teams: Active in the Electrical Machines and Drives Research Group, focusing on high-reliability drive systems and sustainable energy technologies. Collaborates with industry on projects like the EPSRC Offshore Wind Prosperity Partnership.

Ioannis AnastasopoulosView profile

Professor

• Geotechnical Engineering
• Structural Engineering
• Earthquake Engineering
• +6 more

Prof. Ioannis Anastasopoulos is a Full Professor and Head of the Department of Civil, Environmental and Geomatic Engineering at ETH Zurich. He leads the Chair of Geotechnical Engineering, focusing on advanced geotechnical modeling, seismic resilience, and infrastructure systems. His research integrates experimental and numerical methods to address challenges in tunnel engineering, offshore foundations, and seismic protection. Key research areas include seismic response of geotechnical structures, soil-structure interaction, metamaterial-based vibration mitigation, and innovative foundation technologies. He directs the Geotechnical Centrifuge Center and Soil Testing Laboratories at ETH Zurich, advancing physical modeling and material characterization. Recent work emphasizes earthquake engineering applications, including fault rupture interactions with tunnels, pile group dynamics under combined loading, and hybrid modeling of scour effects on bridge foundations. His contributions span geotechnical design methodologies, nuclear facility safety, and additive manufacturing for masonry structures. Prof. Anastasopoulos collaborates internationally on projects like the GEOLAB initiative, advancing Europe's geotechnical physical modeling infrastructure. His teaching includes courses on geotechnical design and theoretical soil mechanics, bridging academic research with practical engineering solutions.

Thomas WildView profile

Professor

• Manycore system on chip (SoC) architectures
• Network processor (NPU) architectures
• On-chip communication architectures
• +3 more

Dr.-Ing. Thomas Wild serves as an Academic Director at the Technical University of Munich (TUM), working within the TUM School of Computation, Information and Technology at the Chair of Integrated Systems. He maintains an active research and teaching role at the institution, with his office located in Building N1 (Theresienstr. 90), Room N2136 in Munich, Germany. Dr. Wild's research focuses on advanced computing architectures, with particular emphasis on manycore system on chip (SoC) architectures, network processor (NPU) architectures, on-chip communication architectures including networks on chip (NoC), and system level design methodologies. His work bridges theoretical research with practical implementation, often exploring design space exploration techniques to optimize system performance. The evolution of his research over two decades demonstrates a consistent focus on improving communication architectures and system-level design for embedded and high-performance computing platforms. His recent publications (2023-2025) reveal a growing integration of machine learning techniques with traditional hardware design, particularly in optimizing power-performance tradeoffs in embedded systems. There's a clear trend toward hardware-software co-design approaches, with significant work on SmartNICs, Linux system optimization, and network processing acceleration. His research shows strong interdisciplinary connections between computer architecture, networking, and machine learning. EUROPRACTICE representative for TUM city campus, facilitating access to commercial EDA tools for academic purposes Active collaborator with Professor Andreas Herkersdorf and other researchers at TUM Focus on practical implementations with FPGA-based prototyping and real system modifications Dr. Wild teaches several hardware design courses including VHDL Lab, SystemC Lab, and HW/SW Codesign, contributing to the education of next-generation computer engineers. His teaching directly complements his research in system design and hardware acceleration, providing students with hands-on experience in cutting-edge technologies.

Yu XiaView profile

Researcher

• Materials Science
• Nanotechnology
• Electron Microscopy
• +7 more

Yu Xia is a Post Doc at the Department of Chemistry, Stockholm University, Sweden. He is affiliated with the Tom Willhammar Research Group, focusing on advanced electron microscopy and diffraction techniques for structural characterization of materials. PhD (2019–2023) from a joint program between the University of Birmingham (UK) and the Southern University of Science and Technology (China). Research emphasizes fabrication of metallic nanoparticles with non-equilibrium structures and shapes using gas-phase condensation and thermal shock methods. Specializes in scanning transmission electron microscopy (STEM), in-situ heating experiments, and electron energy loss spectroscopy (EELS) for nanoparticle analysis. Current work prioritizes 4DSTEM imaging for electron beam-sensitive materials and Python-based post-processing of electron microscopy datasets. Yu Xia's research spans Materials Science , Nanotechnology , and Electrocatalysis , with applications in photocatalytic hydrogen evolution , graphene composites , and advanced electron microscopy techniques . His work often integrates computational image processing with structural characterization to optimize material properties. Publications highlight innovations in heterostructure engineering , metallic alloy catalysts , and electron beam-sensitive material imaging . No scientific awards are explicitly mentioned in the provided text. Yu Xia's technical expertise includes Python scripting for image analysis, in-situ electron microscopy , and multifunctional graphene-based materials .

Claudio A. CañizaresView profile

Professor

• Power Systems
• Smart Grids
• Microgrid Technology
• +7 more

Claudio A. Cañizares is a University Professor in the Department of Electrical and Computer Engineering (ECE) at the University of Waterloo. He holds a PhD and MASc from the University of Wisconsin-Madison and an Engineering degree from Escuela Politécnica Nacional in Ecuador. He is an IEEE Fellow and a Professional Engineer (PEng). His research focuses on power and energy systems, including smart grids, microgrids, energy storage, and renewable integration. He has advised over 100 graduate students and postdoctoral fellows, contributing to groundbreaking work in microgrid control, energy management systems, and grid stability. Notable awards include the 2017 IEEE-PES Outstanding Power Engineering Educator Award and the 2022 Award for Excellence in Graduate Supervision. His software contributions include the PSAT (Power System Analysis Toolbox) and SRLS (Smart Residential Load Simulator), widely used for power system analysis and smart grid modeling. He teaches courses such as ECE 6613PD (Power System Analysis) and ECE 467 (Power System Operation and Markets). Key research areas include voltage and frequency stability, distributed energy resources, and transactive energy markets. Collaborations span international institutions and industry partners like the Canadian Renewable Energy Laboratory (CANREL).

• Structural Health Monitoring
• Seismic Analysis
• Bayesian Calibration
• +14 more

Gaetano Miraglia is a Fixed-term Assistant Professor in the Department of Structural, Building and Geotechnical Engineering (DISEG) at Politecnico di Torino, where he conducts research in structural health monitoring, seismic analysis, and computational modeling. He is a member of the Interdepartmental Center R3C – Responsible Risk Resilience Centre, contributing to interdisciplinary efforts in risk mitigation and infrastructure resilience. His work spans both theoretical and applied domains, with strong emphasis on heritage preservation and sustainable urban development. His research interests include Bayesian calibration of nonlinear models, hybrid simulation, peridynamics, masonry structures, and the integration of satellite interferometric (InSAR) data with in-situ measurements for structural monitoring. He applies advanced computational and machine learning techniques to improve the accuracy and reliability of structural assessments, particularly in historical and monumental buildings. His work supports UN Sustainable Development Goals 9, 11, and 13. His recent publications demonstrate a consistent focus on data fusion, digital twinning, domain adaptation, and real-time damage detection. He frequently collaborates with researchers such as Rosario Ceravolo and Erica Lenticchia, publishing in high-impact journals like Computer-Aided Civil and Infrastructure Engineering , Structures , and Scientific Reports , as well as at major conferences including EWSHM, SAHC, and EVACES. His research is applied in projects such as the monitoring of the Vicoforte Sanctuary and the development of the CAMELOT and HY-LEARN toolboxes. Research Projects: MONITORAGGIO VICOFORTE (2024–2026) – Member of Research Group CAMELOT – PoC Transition (2023–2024) – Member of Research Group HY-LEARN – Model Calibration via Hybrid Simulation and ML (2022–2024) – Scientific Manager (PNRR Mission 4) He teaches in various programs, including as a course collaborator in PhD, Master’s, and Bachelor’s level courses such as Earthquake Engineering , Structural Consolidation , and Seismic Risk of Cultural Heritage . He is also an inventor on national and international patents and software related to the CAMELOT toolbox, highlighting the translational impact of his research. He has no listed scientific awards or formal advisees in the provided text.

Keith D. KoperView profile

Professor

• Geophysics
• Seismology
• Array Seismology
• +12 more

Keith D. Koper is a Professor in the Department of Geology & Geophysics at the University of Utah and serves as Director of the University of Utah Seismograph Stations (UUSS). He is also the editor-in-chief of The Seismic Record . His work integrates academic research with operational seismic monitoring and public safety initiatives across Utah and the Intermountain West. Education: PhD in Geophysics, Washington University, 1998 BA in Math, Geology, and ISP, Northwestern University, 1993 Dr. Koper's research focuses on array seismology, forensic seismology, deep Earth structure (especially the inner core), earthquake rupture imaging, ambient seismic noise, and seismic hazards in the Intermountain West, including mining-induced and urban earthquakes. His work combines observational seismology with advanced signal processing and machine learning techniques to improve detection, discrimination, and imaging capabilities. He has led or contributed to major projects involving the Wasatch Front, Yellowstone, and regional seismic networks. His recent research emphasizes machine learning for earthquake detection, high-resolution relocation of aftershock sequences (e.g., Magna 2020, Bluffdale 2019), microseism generation in lakes, and fine-scale imaging of the Earth's inner core using seismic reflections. His studies often involve interdisciplinary collaboration, particularly with mining engineering and geodesy. Dr. Koper's research has been consistently funded by federal and state agencies, including the National Science Foundation (NSF), U.S. Geological Survey (USGS), Department of Energy (DOE), Air Force Research Laboratory (AFRL), and the Utah Department of Public Safety. His publications reflect a strong trend toward integrating computational methods with traditional seismological analysis to tackle complex problems in both natural and induced seismicity. Scientific Service and Leadership: Editor-in-Chief, The Seismic Record Director, University of Utah Seismograph Stations Secretary, U.S. Air Force Seismic Review Panel Former Chair and Vice-Chair, Utah Seismic Safety Commission Dr. Koper mentors graduate students in seismology and geophysics, including recent advisees Sean Hutchings and Alysha Armstrong. His research group actively engages in both fundamental and applied seismological research, with strong ties to national labs such as Sandia. The group is involved in deploying portable seismic arrays, analyzing large datasets, and developing new algorithms for event detection and classification. The University of Utah Seismograph Stations, under his leadership, plays a critical role in monitoring seismicity in Utah and Yellowstone, producing real-time earthquake information, ShakeMaps, and public outreach materials. The station also contributes to national and international efforts in nuclear test monitoring and volcanic hazard assessment.

Chenhao ChuView profile

Professor

• RF/mm-Wave Circuits
• Power Amplification
• AI-Assisted Design Synthesis
• +4 more

Dr. Chenhao Chu is a Professor at ETH Zürich, holding the Professur für Elektronik (Professorship for Electronics). He specializes in RF/mm-Wave circuits, AI-driven design methods, and advanced power amplification technologies. His research focuses on energy-efficient, wideband systems, antenna-in-package solutions, and GaN-based applications for 6G and beyond. Education: Ph.D. in Electronic Engineering, University College Dublin (2022) M.Sc. in Electronic Information Engineering, City University of Hong Kong (2017) Research Interests: His work bridges AI and hardware design, emphasizing reconfigurable circuits , high-linearity power amplifiers , and mm-Wave phased arrays . Key areas include: AI-assisted rapid design synthesis III-V/Si co-design for mm-Wave Efficient antenna integration Dynamic load modulation techniques Awards: Award-winning researcher with distinctions including the First Place Best Student Paper Award (2022 Royal Irish Academy Colloquium) and multiple HEPA-SDC Competition Awards (2021-2022). Recognized for innovations in PA efficiency and design automation. Advising & Grants: Leading projects on 6G PA architectures and AI-driven RF design. Active in IEEE with contributions to conferences like IMS and ARFTG. No explicitly stated grants mentioned but widely cited in industry-academia collaborations. Labs & Teams: Associated with ETH Zürich's Electronics Laboratory, focusing on next-generation wireless systems. Collaborates internationally on 5G/6G infrastructure and mm-Wave innovations.