جست‌وجوی استاد و پژوهشگر

Chengguo Zhangمشاهده پروفایل

دانشیار

• Mining Engineering
• Geomechanics
• Numerical Analysis
• +۶ مورد دیگر

Associate Professor Chengguo Zhang is a researcher at the University of New South Wales (UNSW Sydney) specializing in Mining Engineering and Geomechanics . His work focuses on improving mining safety and sustainability through fundamental and applied research on dynamic rock mass failures , groundwater-mining interactions , and data-driven visualization technologies . He currently serves as the Postgraduate Research Coordinator for the School of Mining Engineering. PhD in Mining Engineering from UNSW Sydney (2015) Coordinates postgraduate research programs Recipient of multiple teaching and research awards Research Interests: Zhang's work addresses critical mining industry challenges through: Quantification of energy sources and dissipation in rock masses for rockburst management Integration of AI data analytics and 3D visualization for geotechnical risk assessment Mine subsidence and coupled hydro-mechanical behavior of rock discontinuities Development of digital ground control management systems Article Trends: His recent publications demonstrate expertise in: Numerical modeling of rock fracturing mechanisms Nonlinear fluid flow analysis in fractured rock masses Shotcrete and ground support system evaluation Hydro-mechanical coupling during shear processes Energy-based coal burst risk classification Scientific Awards: Tim Shaw Award for Innovation in Teaching (2024) International Outstanding Young Scholar Award (2023) UNSW Education Excellence Award (2021) UNSW Research Excellence Award (2018) Research Supervision: Supervises 12 active PhD students (9 as primary/joint supervisor) and has guided 11 PhD completions (7 as primary/joint supervisor), including 3 Dean's Award recipients. Focuses on numerical modeling, data visualization, and machine learning applications in mining geomechanics.

• Computational tomographic reconstructions
• subsurface imaging
• shape/target tracking
• +۸ مورد دیگر

Naren Naik is a Professor in the Department of Electrical Engineering at the Indian Institute of Technology (IIT) Kanpur, specializing in computational tomographic reconstructions and analysis for subsurface imaging and shape/target tracking. His educational background includes: PhD from the Indian Institute of Science (IISc) Bangalore in 2000 M.E. in Electronics and Communication Engineering from IISc Bangalore in 1992 B.Sc. from Bangalore in 1988 Professor Naik's research focuses on development and analysis of reconstruction algorithms for nonlinear tomography , with particular emphasis on shape-based and dynamic tomography, tracking and battlefield surveillance, and numerical solutions to partial differential equations in electromagnetics. His work spans multiple imaging modalities including subsurface imaging with Ground Penetrating Radar (GPR), fluorescence optics, electrical impedance tomography, and photoacoustic tomography. His research bridges theoretical mathematics with practical applications in electromagnetic imaging and target tracking systems, addressing complex inverse problems in computational imaging. His publication record shows a clear progression from electromagnetic tomography to advanced Kalman filtering techniques for target tracking applications. The most recent works focus on wireless sensor networks and maneuvering target tracking, demonstrating his ability to adapt theoretical frameworks to evolving technological contexts while maintaining mathematical rigor in solving inverse problems. His professional recognition includes: Invited presentation at the special session on advances in model based inversion at the 2011 IEEE AP-S International Symposium on Antennas and Propagation Professor Naik maintains an active research program with consistent publication output in high-impact journals and conferences. His work demonstrates strong interdisciplinary collaboration, particularly with researchers in electromagnetics, signal processing, and imaging sciences. His research has significant applications in defense technology (battlefield surveillance), medical imaging, and subsurface exploration systems, contributing to both theoretical advances and practical implementations in these fields. He is based in Office 303A ACES (Advanced Centre for Electronic Systems) at the Department of Electrical Engineering, IIT Kanpur, where he leads research activities in computational imaging and tomographic reconstruction.

Marco Barlaمشاهده پروفایل

استاد

• Geotechnical Engineering
• Geothermal Energy
• Energy Geostructures
• +۱۲ مورد دیگر

Marco Barla is a Full Professor of Geotechnical Engineering at the Department of Structural, Building and Geotechnical Engineering (DISEG) at the Polytechnic of Turin, where he also leads a research group focused on energy geostructures, tunneling, slope stability, and numerical modeling. He serves as Editor-in-Chief of the ASCE International Journal of Geomechanics and holds leadership roles in international organizations such as the International Society for Energy Geostructures (President, 2025–2029) and ELGIP (Past President). He is actively involved in multiple EU and national research projects, including GEOREFIT, REGENERATE, and FOLIAGE. Research Interests: Thermoactive geostructures for shallow geothermal energy Tunnel design and construction under challenging conditions Real-time detection of debris flows and snow avalanches using fiber optics Numerical modeling of geotechnical systems Energy retrofitting of existing underground infrastructure His recent publications (2024–2025) demonstrate a strong focus on sustainable urban development through geothermal energy integration, particularly in tunnels and buildings. Key themes include energy geostructures, thermal storage, landslide monitoring, and climate resilience, reflecting his commitment to SDGs 7, 9, 11, and 13. He frequently publishes in top venues such as Tunnelling and Underground Space Technology , Geothermics , and Landslides . Scientific Awards: Telford Premium, Institution of Civil Engineers (2016) IACMAG Excellent Contributions Award (2011) Best Paper, 11th ISRM Congress (2007) Iacmag Award (2005) Top 5 Project Nominee, European Geothermal Innovation Award (2018) Advising and Grants: He supervises multiple PhD students in civil and environmental engineering and has led over 70 research projects, securing more than 2 M€ in funding from national and international sources. His projects span fundamental research (e.g., PRIN, H2020) and applied consulting (e.g., tunnel safety, landslide risk, structural monitoring). He is the scientific responsible for numerous contracts with public and private entities, including Autostrade per l’Italia and regional governments. Labs and Teams: He leads the Rock Mechanics and Rock Engineering research group at Politecnico di Torino ( www.rockmech.polito.it ), which conducts laboratory testing, field monitoring, and numerical simulations. The team is active in international collaborations and coordinates the COST Action FOLIAGE, dedicated to scaling up energy geostructure deployment.

Paul D. Brooksمشاهده پروفایل

استاد

• Hydrology
• Ecohydrology
• Water Quality
• +۱۱ مورد دیگر

Paul D. Brooks is a Professor in the Department of Geology/Geophysics at the University of Utah, where he has been a faculty member since July 2014. His research focuses on understanding water, energy, and biogeochemical cycling in seasonally snow-covered catchments, with increasing emphasis on predicting how climate and land use changes impact snow accumulation, ablation, and snowmelt-derived surface and ground water resources. His educational background includes a BS in Biology and Chemistry from Florida State University, followed by an MS in Ecohydrology (1991) and PhD in Biogeochemistry (1995), both from the University of Colorado, Boulder. Prior to his position at the University of Utah, Dr. Brooks was a Professor in the Department of Hydrology and Water Resources at the University of Arizona from December 2000 to June 2014. Dr. Brooks' research spans multiple disciplines within earth sciences, focusing primarily on hydrology, ecohydrology, and biogeochemical cycling in mountainous, snow-dominated environments. His work examines how climate change affects snowmelt processes, groundwater-surface water interactions, and water resource availability in the western United States. He employs a combination of field measurements, isotope hydrology, and modeling approaches to understand complex hydrological processes across multiple spatial and temporal scales. His research increasingly involves collaboration with stakeholders to translate scientific findings into practical water resource management applications. Analysis of Dr. Brooks' recent publications reveals a strong focus on groundwater-surface water interactions in snowmelt-dominated systems, with particular attention to how climate change affects streamflow generation processes. His work bridges fundamental hydrological science with practical water resource concerns, examining topics such as runoff efficiency, groundwater storage dynamics, and the impacts of land cover changes on hydrological processes. A significant portion of his recent research investigates the Western United States water resources under changing climate conditions. AGU Fellow (American Geophysical Union) Dr. Brooks actively mentors graduate students through thesis research (both PhD and Master's level) as evidenced by his teaching activities. His lab conducts research supported by various grants focused on understanding water resources in mountainous regions, particularly examining how climate change affects snowmelt hydrology and water availability. He collaborates extensively with researchers across multiple institutions, as demonstrated by his numerous co-authored publications with scientists from various universities and research organizations. Dr. Brooks leads research efforts through his lab at the University of Utah and is involved with the Wasatch Environmental Observatory, a mountain-to-urban research network in the semi-arid Western US. His work integrates field measurements across complex terrain to understand how topography, vegetation, and climate interact to control water, energy, and biogeochemical cycling in seasonally snow-covered environments.

• Industrial Automation
• Control Systems
• Machine Learning Applications
• +۵ مورد دیگر

Valeriy Vyatkin is a Professor at the Department of Electrical Engineering and Automation, Aalto University. His research focuses on advancing industrial automation, control systems, and their integration with emerging technologies like machine learning and digital twins. He specializes in standards such as IEC 61499, addressing interoperability, formal verification, and performance optimization in distributed automation systems. Key research interests include: Physics-informed machine learning for industrial processes (e.g., steel rolling, reservoir engineering) Formal methods for control system validation and safety-critical applications Development of adaptive automation frameworks for Industry 5.0 challenges, including human-robot collaboration and energy systems Interoperability between legacy and modern industrial standards (OPAS, OPC UA) Recent work emphasizes real-time simulation, FPGA-based control prototyping, and AI-driven solutions for energy efficiency and sustainability in manufacturing, horticulture, and process industries. Publications span topics like robotic walker design, probabilistic model checking, and decentralized learning management systems. He collaborates on EU and industry-funded projects, focusing on digital twin implementation, edge computing, and virtual commissioning. His team develops tools for automated code generation, system migration, and anomaly detection in complex industrial settings.

Brandon Schmandtمشاهده پروفایل

استاد

• Seismology
• Tectonics
• Volcanology
• +۴ مورد دیگر

Brandon Schmandt is a Professor in the Department of Earth, Environmental and Planetary Sciences at Rice University, where he leads research using seismology to investigate Earth systems. His work integrates interdisciplinary approaches, data science, and numerical modeling to study tectonic processes, magmatic systems, and environmental interactions. His educational background includes a PhD in Geological Sciences from the University of Oregon (2011) and a BA in Environmental Studies from Warren Wilson College (2006). Dr. Schmandt's research focuses on seismology, tectonics, volcanology, and surface processes , with emphasis on seismic imaging of subsurface structures. His group employs innovative time-series analysis and field projects to resolve geologic history and contemporary Earth dynamics, particularly examining fault zones, magmatic reservoirs, and deep convective processes. Key methodologies include dense seismic arrays and machine learning applications. Analysis of his recent publications (2023-2025) reveals dominant trends in seismic event discrimination (earthquakes vs. explosions), magmatic system imaging (Yellowstone, Cascades), and global mantle structure studies. There is strong emphasis on induced seismicity, machine learning applications, and high-resolution imaging of Earth's discontinuities using dense arrays. His distinguished honors include: Aki Award of the AGU Seismology Section GSA Donath Medal AGU Macelwane Medal Body Dr. Schmandt directs an active research group conducting field projects across diverse settings including the Raton Basin, Yellowstone, Antarctica, and the Caribbean. While specific student advisees and grant details aren't provided in available materials, his group's work involves collaborative data collection, advanced computational modeling, and development of novel seismic analysis techniques applicable to both natural and anthropogenic seismic sources. The research program maintains focus on magmatic systems beneath volcanic regions, induced seismicity mechanisms, and global mantle structure using dense node arrays and interdisciplinary approaches to address fundamental questions in Earth dynamics.

Serge A. Shapiroمشاهده پروفایل

استاد

• Seismology
• Geophysics
• Rock Physics
• +۵ مورد دیگر

Prof. Serge A. Shapiro is a Full Professor of Geophysics at Freie Universität Berlin since 1999 and Director of the PHASE consortium since 2004. He holds a Diploma in Applied Geophysics from Lomonosov Moscow State University (1982), a PhD from the Moscow Research Institute of Geosystems (1987), and a Habilitation from Karlsruhe University (1995). His research focuses on seismogenic processes, induced seismicity, rock physics, and subduction zone dynamics, with applications to geothermal energy, CO2 storage, and hydraulic fracturing. Education: Diploma in Applied Geophysics, Lomonosov Moscow State University (1982) PhD in Geophysics, Moscow Research Institute of Geosystems (1987) Habilitation, Karlsruhe University (1995) Research Interests: Induced seismicity from fluid operations CO2 storage and hydraulic fracturing risks Seismic hazard assessment Rock physics under stress Key Contributions: Developed the Seismogenic Index Model for induced earthquakes Pioneered DAS-based seismic monitoring techniques Advanced understanding of fault stability and pressure diffusion effects Awards: Virgil Kauffman Gold Medal (2013) for work in microseismic monitoring and rock physics Grants & Projects: PHASE consortium leader (2004–present) Utah FORGE EGS project advisor Labs/Teams: Seismology Group, Freie Universität Berlin PHASE university consortium

William Harbertمشاهده پروفایل

استاد

• Geophysics
• Seismic Processing
• Microseismic Analysis
• +۵ مورد دیگر

William Harbert is a Professor in the Department of Geology and Environmental Science at the University of Pittsburgh, where he leads research in geophysics and subsurface characterization. His work bridges fundamental geophysical principles with practical applications in energy and environmental systems. Education: MS in Exploration Geophysics from Stanford University PhD in Geophysics from Stanford University Research focuses on seismic analysis across multiple scales, from micro-CT to surface seismic. His group specializes in advanced processing of microseismic, reflection seismic, and VSP data to image subsurface structures and understand pore-scale dynamics. Current work integrates deep learning for geophysical object detection and classification, with emphasis on organic shale systems and CO 2 storage monitoring. Key areas include rock physics, microseismicity analysis, and environmental geophysics for water quality assessment. Publication trends show strong emphasis on energy-related geophysics, particularly hydraulic fracturing monitoring, CO 2 sequestration verification, and unconventional reservoir characterization. Recent work increasingly incorporates machine learning techniques and addresses environmental monitoring challenges in subsurface operations. Scientific recognition: DOE ORISE Research Associate Resident Institute Fellow of the NETL-Institute for Advanced Energy Solution Professional engagements include membership on the Altarock Review Board for DOE-funded geothermal projects and prior service on the Scientific Advisory Board for the In Salah CO 2 Injection Project. His research involves extensive collaboration with national laboratories and industry partners on subsurface monitoring technologies. His laboratory group develops advanced geophysical processing techniques for subsurface imaging across multiple scales, with current projects focusing on microseismic monitoring of shale reservoirs and CO 2 storage sites.

• Building Physics
• Numerical Modeling
• Heat and Mass Transfer
• +۶ مورد دیگر

Angela Sasic Kalagasidis is a Professor and Department Head at Chalmers University of Technology , leading the Building Physics research group. She serves as a board member of the Moisture Center at Lund University of Technology , contributing to interdisciplinary research in building science. Building Physics Heat and Mass Transfer Energy Efficiency Moisture Safety Indoor VOC Emissions Climate Change Adaptation Her recent publications focus on aerogel-based materials for insulation, urban heat island mitigation , and thermal energy storage systems . Key methodologies include CFD simulations , field testing , and life cycle assessment frameworks . Research trends show emphasis on: Advanced computational tools for hygrothermal analysis Integration of phase change materials in building systems Climate resilience in building envelopes Optimization of ventilation and moisture control

Sohrab Zendehboudiمشاهده پروفایل

استاد

• Energy and Environment
• Process Systems Engineering
• Transport Phenomena
• +۵ مورد دیگر

Dr. Sohrab Zendehboudi is an Equinor Chair Professor and research lead in the Department of Chemical and Process Engineering at Memorial University's Faculty of Engineering and Applied Science. His work focuses on energy and environmental challenges through experimental and modeling approaches. He has over 15 years of experience across academia and industry in Iran, Kuwait, the U.S., and Canada. He holds a PhD in Chemical Engineering (specializing in transport phenomena) from the University of Waterloo. Research interests include carbon capture, utilization, and sequestration (CCUS), renewable energy systems, process systems engineering, and advanced wastewater treatment. He leads a large research team addressing theoretical and practical challenges in energy sustainability and environmental protection. Key achievements include the 2023 Lectureship Award. His publications span topics like hydrogen production, CO2 storage, solar energy systems, and novel adsorbent materials. He actively seeks graduate students and researchers skilled in experimental work, numerical modeling, and machine learning for energy applications. Education: PhD in Chemical Engineering (University of Waterloo) Key Areas: CO2 Management, Bioenergy, Adsorption Technologies Labs/Teams: Large interdisciplinary research group Grants: Focus on renewable energy and sustainability projects

Chaopeng Shenمشاهده پروفایل

استاد

• Hydrology
• Deep Learning
• Physics-Informed Machine Learning
• +۹ مورد دیگر

Chaopeng Shen is a Professor in the Department of Civil and Environmental Engineering at Pennsylvania State University. His research bridges hydrology with state-of-the-art deep learning and differentiable modeling techniques, focusing on advancing our understanding of hydrologic cycles and their interactions with ecosystems, energy, and carbon cycles. He leads the Multi-scale Hydrology, Processes and Intelligence group (MHPI) and has developed the Process-based Adaptive Watershed Simulator (PAWS) for large-scale hydrologic modeling. Shen's work emphasizes physics-informed machine learning , where deep learning components are integrated with process-based equations through differentiable modeling. This approach enables training neural networks using big data while respecting physical laws, leading to improved generalizability and robustness. His group has demonstrated advantages of differentiable models in rainfall-runoff prediction, routing, ecosystem modeling, and water quality studies. Notably, his team's deepLDB project addresses landslide prediction using AI and big datasets. Recent publications highlight his contributions to global water modeling (grid-LSTM, differentiable Muskingum-Cunge routing), extreme flood forecasting (probabilistic diffusion models), and hydrologic uncertainty quantification . Shen actively engages in interdisciplinary collaborations through the PRISM Cooperative Institute, which aims to integrate multi-domain data for systemic risk assessment. His group has advised students including Dapeng Feng, Wen-Ping Tsai, Kuai Fang, Xinye Ji, and Tasnuva Mahjabin. Shen's research is supported by the National Science Foundation (NSF), Department of Energy (DoE), USGS, Google.org, and the Gates Foundation. He serves as Editor for the Journal of Geophysical Research - Machine Learning & Computation and Chief Editor for Frontiers in Water: Water & AI. His open-source software tools like PAWS and deepLDB are available through dedicated project websites.

Patrick Jennyمشاهده پروفایل

استاد

• Computational Fluid Dynamics
• Turbulent Reactive Flows
• Multiphase Flow Modeling
• +۳ مورد دیگر

Prof. Patrick Jenny is a Full Professor at the Department of Mechanical and Process Engineering and Head of the Institute of Fluid Dynamics at ETH Zurich. His research focuses on computational fluid dynamics (CFD), numerical methods for turbulent and multiphase flows, and reservoir simulation. He has held positions at ChevronTexaco and Cornell University, and received the National Latsis Prize 2005. PhD in CFD from ETH Zurich (1997) Postdoctoral work at Cornell University (1997–1999) Senior Researcher at ChevronTexaco (1999–2003) Research interests include: turbulent reactive flows, PDF modeling, multi-scale reservoir simulation, and data assimilation in engineering systems. He teaches courses on fluid dynamics, turbulence, and computational methods. Over 100 peer-reviewed publications span topics like fracture modeling, LES/RANS coupling, and particle-laden flows. His work bridges academia and industry, addressing challenges in energy systems, environmental engineering, and numerical algorithms. Winner: National Latsis Prize 2005 Led over 20 PhD projects and collaborates with institutions globally. His lab develops open-source tools for CFD and energy systems analysis.

• Bio-inspired robotics
• Soft robotics
• Magnetic micro-robotics
• +۱ مورد دیگر

Hamidreza Marvi is an Associate Professor in the School for Engineering of Matter, Transport and Energy at Arizona State University , with additional affiliations as a Senior Global Futures Scientist . His work bridges bio-inspired robotics , soft robotics , and mechanics of animal locomotion . Education : Ph.D. in Mechanical Engineering (Georgia Tech, 2013), M.S. in Biomedical Engineering (Sharif University, 2007), M.S. in Mechanical Engineering (Clemson, 2009), B.S. in Mechanical Engineering (Iran University of Science and Technology, 2004). Marvi’s research focuses on biological systems interacting with solid, granular, and fluidic environments , translating these insights into bio-inspired robotic systems for search-and-rescue, medical, and planetary exploration. His work has been featured in Science , PNAS , and popular media like the New York Times and BBC . Recent publications highlight trends in magnetic microrobotics , soft robot control , and locomotion in granular media , with applications in medical devices, underwater inspection, and space exploration. His BIRTH Lab develops programmable interfacial structures and adaptive locomotion systems. Scientific Awards : KEEN Professorship (2017), Peebles Award (2015), Sigma Xi Best Ph.D. Thesis (2014), TechSTAR Award (2012), Emerald Publishing Literati Network Award (2011). Marvi has supervised teams for NASA competitions, co-organized robotics workshops, and served as a reviewer for journals like Nature-Scientific Reports and conferences including IEEE-IROS. His teaching portfolio includes courses in system dynamics, robotic control, and applied projects .

Wael El-Dakhakhniمشاهده پروفایل

استاد

• Resilient Infrastructure Systems
• Systemic Risk Management
• Data-Driven Modeling
• +۴ مورد دیگر

Dr. Wael El-Dakhakhni is a Professor of Civil Engineering at McMaster University, holding the Martini, Mascarin and George Endowed Chair in Masonry Design. He serves as Director of the INTERFACE Institute and NSERC CaNRisk-CREATE program, focusing on systemic risk and resilience in complex systems. His research spans interdependent networks, data-driven modeling, and infrastructure resilience under climate and disaster scenarios. He leads the INViSiONLab, advancing AI-driven solutions for urban resilience through digital twins. El-Dakhakhni is a Fellow of the American Society of Civil Engineers and a Member of the Royal Society of Canada, with notable awards including the NSERC Discovery Accelerator Supplement (twice), Ontario Early Researcher Award, and John B. Scalzi Research Award. His work bridges academia and industry, contributing to codes, standards, and real-world applications in structural engineering and disaster response. Education: BSc (Ain Shams University, Egypt), MSc and PhD (Drexel University, USA). Research Interests: Complex systems simulation, systemic risk quantification, resilient infrastructure design, AI applications in urban planning, and climate resilience frameworks. His work integrates advanced machine learning, network theory, and physics-informed models to address multi-hazard challenges in energy, transportation, and urban systems. Key Projects: CITYDNA, McMasterDNA, and infrastructure digital twins for pandemic and climate crisis decision-support systems. He collaborates with governments and organizations to enhance infrastructure resilience through predictive analytics and adaptive strategies. Labs/Teams: INViSiONLab, McMaster INTERFACE Institute, NSERC-CaNRisk-CREATE program, and the Centre for Effective Design of Structures. His research has informed policy and standards in North America, emphasizing interdisciplinary solutions for systemic risk mitigation.

• Laser Physics
• Nonlinear Optics
• Fiber Lasers
• +۵ مورد دیگر

Prof. Irina T. Sorokina is a Professor of Physics at the Norwegian University of Science and Technology (NTNU), leading the Laser Physics Group. Her research focuses on ultrafast lasers, mid-IR photonics, and their applications in materials processing, quantum computing, and spectroscopy. She holds a prestigious Fellowship from the Optical Society of America (2006) and the IEEE Snell Premium Award (2004). Research Interests: Her work spans laser physics, nonlinear optics, and solid-state laser technologies. Key areas include femtosecond laser development, mid-IR frequency combs, and advanced material processing techniques using ultrafast pulses. Recent projects include subsurface silicon modification, all-fiber mid-IR laser systems, and applications in quantum networks. Publications: Her 15 most recent articles (2023–2025) emphasize mid-IR scaling, dissipative solitons, and novel laser architectures. These contributions highlight advancements in energy-efficient laser systems and their industrial applications. Awards: Fellow of the Optical Society of America (2006) IEEE Snell Premium Award (2004) Co-founder of NTNU spin-off ATLA Lasers AS Advising & Innovation: Supervises graduate students in laser physics and materials science. Her lab collaborates on spin-off ventures and advanced projects like subsurface silicon processing for photovoltaics and quantum sensors. Research also extends to energy-dense battery materials and supercontinuum generation in chalcogenide fibers. Labs/Teams: Heads the Laser Physics Group at NTNU, focusing on mid-IR ultrafast lasers and their interdisciplinary applications. Collaborates internationally on projects like double-frequency comb spectroscopy and femtosecond laser writing in ZnS crystals.