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Liang ChengView profile

Professor

• Cyber-Physical Systems (CPS)
• Internet of Things (IoT)
• AI/ML Applications
• +7 more

Dr. Liang Cheng is the Department Chair and Professor in the Department of Electrical Engineering and Computer Science at the University of Toledo. He leads a department with ~700 students across CS, CSE, and EE programs. His research focuses on Cyber-Physical Systems (CPS), IoT, AI/ML, and intelligent infrastructure, supported by over $30M in funding from NSF, DOE, DOT, and industry. Notable projects include CPS Breakthrough initiatives and underground sensing systems. He co-edited a multidisciplinary book on Underground Sensing and contributed to smart grid cybersecurity. Dr. Cheng has held leadership roles at Lehigh University, shaping faculty governance and equity policies. His 100+ publications span networking, real-time systems, and sensor networks. He advises on funded projects totaling $30M+ and has pioneered pedagogical approaches in computer science education. Research Interests: Cyber-Physical Systems (CPS): Focuses on autonomous drones, energy systems, and real-time infrastructure Networking: Expertise in TSN, DTN, and wireless protocols Cybersecurity: SCADA systems, PLC attack detection, and blockchain energy modeling Underground Sensing: Geo-sensing via wireless signals and subsurface tomography Grants & Projects: Over 20 sponsored projects including NSF CPS Breakthrough (2018-2023), ABB smart grid projects, and DARPA-funded EDIFY systems. Key contributions include reconfigurable wireless architectures and network calculus tools for real-time systems. Teaching: Courses span senior design, compiler design, parallel computing, and wireless sensor networks. Developed pedagogical patterns for non-CS programming education. Awards: Recognized for leadership in academic governance and interdisciplinary research collaboration.

• Digital Archaeology
• Computational Archaeology
• Machine Learning in Archaeology
• +13 more

Karsten Lambers is Professor of Digital and Computational Archaeology at the Faculty of Archaeology, Leiden University, where he leads research and teaching in the application of computational methods to archaeological data. His work integrates machine learning, remote sensing, text mining, and citizen science to advance archaeological prospection and heritage management. He is affiliated with the Department of Archaeological Sciences and plays key roles in research groups and university-wide initiatives such as SAILS and ARCHON. His research interests span Digital Archaeology , Machine Learning in Archaeology , Remote Sensing , Geoarchaeology , and Human-Environment Interaction . He investigates how computational tools can extract meaningful archaeological information from large datasets, including LiDAR imagery and excavation reports. His fieldwork spans Central Europe and Latin America, with a focus on prehistoric landscapes and cultural heritage. The analysis of his recent publications reveals a strong trend toward automated detection using deep learning (e.g., R-CNN, WODAN), named entity recognition in archaeological texts (e.g., ArcheoBERTje), and citizen science integration for data validation. His work bridges archaeology with computer science, geomatics, and environmental science, emphasizing interdisciplinary collaboration and methodological rigor. His scientific awards include: Best Thesis Award (University of Zurich, 2005) EUROPA NOSTRA Award (2020, 2022) Membership in the German Archaeological Institute (since 2022) Lambers actively supervises students and leads major research projects such as ABMA, EXALT, and Heritage Quest. He has secured substantial research funding and collaborates widely with computer scientists, geophysicists, and palaeoecologists. His teaching includes digital methods, modeling, and simulation, often linked to ongoing research. He has also contributed to open educational resources and digital textbooks in archaeology. He leads or participates in several research labs and teams, including the Digital Archaeology Research Group (which he chairs), the Heritage Quest citizen science project, and interdisciplinary teams focusing on alpine terraces and Iraqi prospection. His work emphasizes the integration of digital tools into practical archaeological workflows, advocating for complementary human-computer strategies.

• Glaciology
• Remote Sensing
• Geodesy
• +3 more

Tobias Bolch is a full Professor at the Institute of Geodesy, Graz University of Technology (TU Graz), Austria, specializing in cryospheric research with a focus on High Mountain Asia and the Tibetan Plateau. His work integrates advanced geodetic and remote sensing methodologies to address critical climate change impacts on glaciers and related systems. His research spans: Glacier dynamics and mass balance monitoring using InSAR and optical satellite data Rock glacier kinematics and permafrost interactions Glacial lake evolution and outburst flood hazards Climate-glacier-hydrology linkages in Central Asian river basins Long-term cryosphere reconstruction using historical satellite archives Analysis of his 2023-2025 publications reveals dominant trends in quantifying ice loss acceleration, particularly from lake-terminating glaciers, and the application of multi-sensor approaches (Sentinel, ASTER, UAV) for decadal-scale change detection. His work consistently emphasizes the hydrological consequences of glacier retreat for downstream water security across High Mountain Asia. No scientific awards or specific grant programs were documented in the provided materials. While student supervision details are absent, his position at TU Graz's Institute of Geodesy indicates active mentorship within geospatial and cryospheric research programs. His homepage (https://ifg.tugraz.at) serves as the primary hub for research dissemination through the university's PURE portal.

• Earthquake Early Warning
• Real-Time Seismology
• Seismic Instrument Design
• +6 more

Dr. John Francis Clinton is the Director of Seismic Networks and Head of the Earthquake Monitoring Section at the Swiss Seismological Service (SED), ETH Zurich. He leads the Marsquake Service for NASA's InSight mission and oversees Switzerland's broadband and strong-motion seismic networks. His expertise spans earthquake early warning systems, seismic instrumentation, and glacial seismology. Clinton is also a Co-Investigator on the Mars InSight mission and involved in international projects like EPOS and RAMSIS. Education PhD in Civil Engineering (Minor in Geophysics), California Institute of Technology (2004) MSc in Civil Engineering, California Institute of Technology (1998) BEng in Civil Engineering, University College Dublin (1997) Research Interests Dr. Clinton focuses on real-time seismology, seismic instrument design, structural health monitoring, and glacial seismology. His work bridges engineering applications with geophysical data analysis, particularly in earthquake early warning systems and induced seismicity studies. He collaborates internationally on projects such as the Valais Near Fault Observatory and Nicaragua’s Earthquake Early Warning development. Publications Overview His 15 most recent papers (2011–2015) highlight advancements in seismic network optimization, Marsquake detection algorithms, and glacial icequake mechanisms. Key themes include improving early warning accuracy, understanding subglacial dynamics, and validating high-rate GPS for structural monitoring. Awards & Memberships Member, Swiss Academy of Sciences (since 2008) Member, IRIS Quality Assurance Advisory Committee (since 2013) Chair, European Integrated Data Archives (EIDA) (2013–2015) Labs & Teams Clinton directs the SED’s Earthquake Monitoring team and collaborates with ETH Zurich’s Geophysics Masters Program. His group manages Switzerland’s seismic networks and leads the Marsquake Service, which analyzes InSight lander data for Martian seismic events.

Jason M. LaBelleView profile

Professor

• Environmental and Landscape Archaeology
• Peopling of the Americas
• Contact Era Studies
• +4 more

Jason M. LaBelle is a Professor of Anthropology at Colorado State University (CSU), affiliated with the College of Liberal Arts. He serves as Director of the Center for Mountain and Plains Archaeology (CMPA) and Curator of the Archaeological Repository of CSU (AR-CSU). His research focuses on hunter-gatherer societies, particularly in the Intermountain West, emphasizing subsistence, mobility, and pre/post-contact Native American cultures. His work spans environments from the Great Plains to high alpine regions, with specialties in Clovis/Folsom cultures, communal hunting practices, and lithic technology. LaBelle teaches courses in archaeology, lithic technology, and public archaeology. He oversees CMPA projects funded by federal agencies like the National Park Service and the Bureau of Land Management, supporting student training in fieldwork, lab analysis (lithics, faunal studies), and report writing. His lab houses extensive collections from Colorado’s South Platte and Colorado River Basins, including alpine artifacts. He actively engages with tribal partners and the public through outreach, conferences, and NAGPRA coordination. LaBelle’s recent research includes studies on lithic quarries, ice patch archaeology, and Bayesian chronology modeling. His publications address prehistoric mobility, site chronology, and cultural resource management. He values interdisciplinary collaboration and student mentorship, aiming to bridge academic and applied archaeology.

Yehuda Ben-ZionView profile

Professor

• Geophysics
• Seismology
• Earthquake Dynamics
• +3 more

Yehuda Ben-Zion is a Professor of Earth Sciences at the University of Southern California (USC), affiliated with the Dornsife College of Letters, Arts and Sciences. He serves as Director of the Statewide California Earthquake Center (SCEC). His expertise lies in geophysics and seismology, with a focus on earthquake mechanics, fault dynamics, and seismic hazard assessment. He holds a Ph.D. in Geophysics and Seismology from USC (1990) and a B.S. in Geology and Physics from The Hebrew University of Jerusalem (1982). Research interests include physics of earthquakes and faults, high-resolution fault zone imaging, earthquake source properties, and dynamic rupture processes. Recent work emphasizes multi-scale modeling of rupture zones, seismic velocity monitoring using anthropogenic signals (e.g., train tremors), and probabilistic seismic hazard analysis frameworks like CyberShake. He leads projects such as Quakeworx, an open-source earthquake simulation platform, and investigates fault zone architecture in regions like the San Andreas, San Jacinto, and Marmara faults. His studies address critical questions about large earthquake mechanisms, ground motion prediction, and the interplay between tectonic stress and seismicity patterns. He has pioneered the use of dense seismic arrays and machine learning to analyze seismic data, advancing understanding of fault zone processes and their implications for hazard mitigation.

Sai RavelaView profile

Researcher

• Nonlinear Stochastic Dynamics
• Coherent Fluids
• Uncertainty Quantification
• +6 more

Sai Ravela is a Principal Research Scientist in the Department of Earth, Atmospheric and Planetary Sciences (EAPS) at the Massachusetts Institute of Technology (MIT). His research focuses on nonlinear stochastic dynamics, coherent fluid systems, uncertainty quantification, and autonomous observing technologies. He specializes in developing data-driven methodologies for natural hazard detection, climate change impacts, and environmental risk assessment. Ravela’s work integrates computational science with geophysical applications, including storm surge modeling, extreme rainfall analysis, and geothermal exploration. He pioneers techniques like neural dynamical systems and adversarial learning to improve predictive accuracy in nonstationary climate regimes. His contributions span environmental monitoring systems, autonomous aircraft resilience frameworks, and policy-informed climate vulnerability assessments. Key research areas include: Coastal flood risk in Bangladesh and Vietnam Dynamic data-driven applications systems (DDDAS) Machine learning for geosciences and environmental systems Uncertainty quantification in complex fluid dynamics He leads interdisciplinary projects at MIT’s Computational Science and Engineering (CSE) program, advancing methods for data assimilation, surrogate modeling, and real-time environmental observatories. His innovations bridge theoretical frameworks with practical solutions for climate adaptation and disaster resilience.

Peter ShearerView profile

Professor

• Seismology
• Earthquake Physics
• Mantle Discontinuities
• +7 more

Peter Shearer is a Professor of Geophysics at the Institute of Geophysics and Planetary Physics , affiliated with the Scripps Institution of Oceanography at the University of California, San Diego. His research focuses on observational seismology, mantle discontinuities, earthquake location methods, source properties, and seismicity patterns. Education: B.S. in Geology and Geophysics, Yale University (1978) Ph.D. in Geophysics, UCSD Scripps Institution (1986) Research Interests Shearer's work uses large seismic datasets to study Earth's interior structure, particularly mantle transition zones, lithospheric discontinuities, and earthquake triggering mechanisms. His methods include waveform cross-correlation relocation, SS precursor analysis, and seismic wave scattering studies. Scientific Contributions His publications span 40+ years, with recent works analyzing aftershock migration, mantle discontinuities, and fault weakening. Key themes include Global mantle imaging using teleseismic data High-resolution fault zone seismicity Deep Earth structure from scattered waves Scientific Awards AGU Fellow (1999) SIO Outstanding Teaching Award (2003) Lehmann Medal (AGU, 2020) National Academy of Sciences member (2009)

Matt PritchardView profile

Professor

• Volcanology
• Geodesy
• Remote Sensing
• +4 more

Prof. Matt Pritchard is a Professor in Earth & Atmospheric Sciences at Cornell University, based at Snee Hall. His research focuses on volcanology, geodesy, and remote sensing, with a particular emphasis on using satellite data to monitor volcanic activity, deformation, and glacial interactions. He leads studies on global volcanic systems, including Indonesia's Semeru and Raung volcanoes, Chile's Cordón Caulle, and Bolivia's Uturuncu, applying techniques like InSAR, SAR, and thermal imaging. Key research interests include volcanic eruption dynamics, magma-hydrothermal systems, and the integration of multi-sensor datasets. He has contributed to developing tools like Hotspotter for automated volcanic thermal feature detection and has explored planetary volcanism (e.g., Venus). His work bridges geophysics, glaciology, and computational methods, addressing both Earth and extraterrestrial systems. Prof. Pritchard has received recognition such as the William Bowie Lecture (2022, 2023). His projects often involve international collaborations, including the CEOS Volcano Demonstrator initiative and the EarthDEM/ArcitcDEM projects. He also engages in geothermal energy research and seismic monitoring in Ithaca, NY.

Xiaozhuo WeiView profile

Researcher

• Geophysics
• Volcanology
• Seismology
• +3 more

Xiaozhuo Wei is a Postdoctoral Scholar Research Associate in Geophysics at the California Institute of Technology (Caltech), affiliated with the Division of Geological and Planetary Sciences and the Department of Geophysics. His research focuses on geophysical monitoring of volcanic and tectonic processes, employing advanced techniques like fiber-optic geodesy, seismic tomography, and machine learning. He specializes in studying seismicity associated with volcanic eruptions, magma dynamics, and slow slip events in subduction zones, with significant contributions to understanding the 2018 Kīlauea eruption and Iceland's Reykjanes Peninsula eruptions. Key affiliations: Caltech’s Geophysics Department, Division of Geological and Planetary Sciences Research tools: Distributed Acoustic Sensing (DAS), ambient noise tomography, and offshore seismic arrays Field areas: Kīlauea Volcano (Hawaii), Iceland’s Reykjanes Peninsula, and Alaska’s subduction zones Wei’s work integrates multidisciplinary approaches to investigate crustal deformation, magma storage, and seismic hazard assessment. He has contributed to improving earthquake catalogs using offshore data and analyzing post-eruption seismicity patterns. His recent studies explore the spatial-temporal evolution of volcanic systems and the mechanics of dike intrusions using high-resolution geophysical methods. His research emphasizes real-time monitoring of volcanic processes and has advanced understanding of how seismic velocity changes reflect magma movement. Collaborations involve deploying ocean-bottom seismometers and machine learning algorithms to detect slow slip events in subduction zones, enhancing earthquake prediction capabilities. Notable projects include the 2023–2024 Reykjanes eruptions study and the analysis of the 2018 Kīlauea eruption’s seismic aftermath. His work bridges observational seismology with theoretical models of volcanic and tectonic systems, contributing to both fundamental science and practical hazard mitigation strategies.

Pascale BironView profile

Professor

• Hydro-geomorphology
• River Restoration
• Floodplain Management
• +3 more

Pascale Biron is a Professor in the Department of Geography, Urban Planning and Environment at Concordia University, Montreal. She holds a Ph.D. in Geography from Université de Montréal (1995) and has been with Concordia since 1998. Her research focuses on river dynamics, stream restoration for fish habitat, flood modeling, and climate change impacts. She specializes in hydrogeomorphology, river management in agricultural watersheds, and numerical modeling of fluvial processes. Research Interests: Her work includes river restoration strategies, flood risk assessment using LiDAR technology, and the 'river freedom' concept promoting ecosystem resilience. She collaborates closely with government agencies to translate research into practical river management policies. Professional Affiliations: Canadian Geomorphology Research Group, Canadian Association of Geographers, American Geophysical Union, GRIL (Limnology Research Group), and RIISQ (Quebec Flood Risk Network). Publications & Research: Recent studies address global salmonid biomass patterns, fluvial hazard detection via machine learning, and large-scale flood modeling. She supervises 19 graduate students in Ph.D./M.Sc. programs in Geography and Environmental Studies, focusing on topics like river confluence hydraulics and agricultural stream restoration. Grants & Funding: Active projects include river dynamics in fish habitats, flood modeling for road infrastructure vulnerability, and computational fluid dynamics simulations of river flows. She also leads research on societal dimensions of river restoration and policy frameworks for flood resilience.

Sally GibsonView profile

Researcher

• Geochemistry
• Volatiles cycling in Earth's mantle
• Mantle and volcanic processes
• +3 more

Sally Gibson is a researcher at the Department of Earth Sciences, University of Cambridge, specializing in mantle geodynamics and volatile cycling processes. Her work integrates field observations, geochemical analysis, and numerical modeling to investigate how deep Earth processes influence surface environments over 3.5 billion years of planetary evolution. Research focuses on volatile cycling (CO₂, H₂O, F, Cl, S) in mantle systems Key projects include mantle plume-ridge interactions with collaborators in the US and Ecuador Operates a LA-ICP-MS laboratory for high-resolution geochemical analyses Supervises PhD students in petrology, geochemistry, and numerical modeling Her research addresses fundamental questions about Earth's habitability through studies of mantle-derived volatiles critical for climate regulation and energy transition metal deposits. Fieldwork in remote regions like Antarctica, Lesotho, and the Galápagos Islands provides empirical data for her interdisciplinary approach. Recent publications highlight her expertise in mantle xenolith analysis, plume dynamics, and volatile quantification in large igneous provinces. Her group's work combines 3He/4He isotopic analysis with seismic tomography to constrain lithospheric evolution and mineral deposit formation. Students under her supervision develop expertise in petrology and geochemical modeling while engaging with environmental and societal impacts of geological research. She actively promotes scientific outreach and community engagement, fostering connections between academia and broader society.

• Differential Privacy
• Machine Learning
• Privacy-Preserving Data Analysis
• +3 more

Daniel Kifer is a Professor in the Computer Science and Engineering department at Pennsylvania State University, with affiliations to the Huck Institutes of the Life Sciences. His work bridges computer science, privacy-preserving machine learning, and geoscience applications. With over 10,000 citations and a high h-index, he focuses on methods to unify theoretical and applied research. Research Interests: Differential Privacy, Privacy-Preserving Machine Learning, Physics-Informed Neural Networks, Landslide Prediction, and Formal Verification of Privacy Systems. Recent projects include grants from the National Science Foundation: SaTC: CORE: Small (2024): privacy-preserving user data embedding in machine learning pipelines. SaTC: CORE: Medium (2017-2023): formal methods for differential privacy and accuracy optimization. His research outputs span domains like geoscience, database systems, and policy analysis, emphasizing precision and scalability of privacy-preserving algorithms.

Patrick BianchiView profile

Researcher

• Seismology
• Rock Mechanics
• Earthquake Physics
• +2 more

Dr. Patrick Bianchi serves as a Researcher at the Swiss Seismological Service (SED) within ETH Zurich, Switzerland, where he conducts fundamental investigations into earthquake processes and rock failure mechanisms. His work integrates laboratory experimentation with numerical modeling to advance seismic hazard assessment methodologies. His research spans seismology, rock mechanics, and experimental geophysics with emphasis on fault mechanics and earthquake physics. Dr. Bianchi employs distributed fiber-optic strain sensing, acoustic emission monitoring, and triaxial testing to study strain localization, precursory signals, and the transition from aseismic to seismic deformation in crystalline and siliclastic rocks. His experimental approaches bridge laboratory observations with natural fault behavior, focusing on how surface roughness, wear processes, and fluid pressure influence fault stability and rupture nucleation. Analysis of his 15 most recent publications (2024-2025) reveals consistent investigation of strain heterogeneities, preslip phenomena, and energy dissipation during earthquake preparation phases. Key methodological trends include scaling deep learning applications from labquakes to megathrusts, comparative laboratory-numerical modeling of pre-failure processes, and environmental loading effects on brittle failure thresholds. His work demonstrates particular expertise in distributed strain sensing techniques applied to fault zone deformation. As an integral member of the Swiss Seismological Service, Dr. Bianchi contributes to Switzerland's national seismic monitoring network and fundamental research on earthquake physics. The SED operates as ETH Zurich's center for seismic hazard analysis, maintaining real-time earthquake detection systems while conducting experimental and theoretical research to improve understanding of seismic sources and ground motion prediction.

Søren Munch KristiansenView profile

Associate Professor

• Geoarchaeology
• Soil Science
• Groundwater
• +7 more

Søren Munch Kristiansen is an Associate Professor in the Department of Geoscience at Aarhus University, Faculty of Natural Sciences. His interdisciplinary research bridges geoscience and archaeology, focusing on the complex interactions between soil, water, and human societies across time. He is actively engaged in transdisciplinary projects involving geoarchaeology, groundwater, and public health. Research Interests: His work centers on how soil and groundwater have shaped human prehistory and continue to influence modern life. Key areas include safe drinking water from a lifelong perspective, geoarchaeological prospection, Viking Age settlements, and the application of geophysical and geochemical methods in archaeological contexts. He is particularly interested in novel, interdisciplinary methodologies. Recent Research Trends: His recent publications reveal a strong focus on integrating geophysical data (e.g., GPR, borehole databases) with archaeological interpretation, especially in 3D urban modeling and landscape change. Themes include Viking Age sites, interglacial deposits, and anthropogenic soil modifications. His work increasingly employs machine learning and large-scale data synthesis. Scientific Awards: No awards mentioned in the provided text. Advising and Grants: While specific students are not listed, he leads and participates in multiple funded research projects, indicating an active supervisory role. His grants span from 2016 to 2024, including projects like TITAN, SAGA, and 'Fingerprinting displaced molecular substances,' highlighting sustained funding and leadership in interdisciplinary geoscience-archaeology research. Labs and Teams: He is involved in collaborative networks such as the Soil Science & Archaeo-geophysics Alliance (SAGA), suggesting leadership in interdisciplinary research teams. His work often involves multi-proxy analyses and international collaborations, particularly in Scandinavian archaeological geophysics.