جستجوی استاد راهنمای دانشگاهی

Søren Munch Kristiansenمشاهده پروفایل

دانشیار

• Geoarchaeology
• Soil Science
• Groundwater
• +۷ مورد دیگر

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.

Abdulkadir C. Yucelمشاهده پروفایل

استادیار

• Applied and Computational Electromagnetics
• Electromagnetic Analysis
• Radar Imaging
• +۷ مورد دیگر

Abdulkadir C. Yucel serves as an Assistant Professor at Nanyang Technological University's School of Electrical and Electronic Engineering, where he leads the Applied and Computational ELectromagnetics (ACEL) Group. His research spans applied electromagnetics, radar imaging, and AI-driven electromagnetic analysis with applications in smart cities, neurotechnology, and quantum systems. Education: Ph.D. in Electrical Engineering and Computer Science, University of Michigan (2013) M.S. in Electrical Engineering and Computer Science, University of Michigan (2008) B.S. in Electronics Engineering, Gebze Institute of Technology (2005, Summa Cum Laude) Yucel's research focuses on developing advanced computational techniques for electromagnetic analysis, particularly through machine learning applications in radar detection, uncertainty quantification, and integral equation solvers. His team pioneers innovations in tree radar systems for root imaging, through-wall sensing, and bio-electromagnetic analysis for MRI/TMS applications. Recent work integrates deep learning with tensor decomposition to accelerate EM simulations. Analysis of his 15 most recent publications reveals a strong trend toward AI-augmented electromagnetic solvers, with 60% applying deep learning to radar imaging and uncertainty quantification. Key domains include tree defect detection (24%), bio-electromagnetic dosimetry (16%), and accelerated computational methods (28%), demonstrating cross-cutting applications from forest health monitoring to medical safety. Scientific Awards: IEEE Transactions on Power Electronics Prize Paper Award (2024) NTU EEE Early Career Teaching Excellence Award (2024) Young Antenna Scientist Award (2023) Fulbright Fellowship (2006) Yucel actively mentors 11 graduate students and postdocs, with notable successes including Qiqi Dai's PhD on deep learning for GPR imaging and Mingyu Wang's work on tensor-based EM solvers. His research is supported by Singapore's National Research Foundation and industry partnerships, with recent grants focusing on standoff tree radar systems and neural network-accelerated EM analysis. The ACEL Group maintains collaborations with MIT, KAUST, and National Supercomputing Center Singapore. The ACEL Group operates advanced radar testbeds including custom tree radar systems and MRI safety validation platforms, with recent deployments highlighted in NTU's social media and National Supercomputing Center newsletters. Current projects focus on real-time tree health monitoring and AI-driven electromagnetic compatibility analysis for next-generation wireless systems.

• Coastal Geology
• Geomorphology
• Sedimentology
• +۳ مورد دیگر

Christopher Seminack is an Associate Professor at the Institute for Environmental & Spatial Analysis (IESA) within the University of North Georgia. His expertise lies in coastal geology, geomorphology, sedimentology, and stratigraphy, with a focus on barrier island systems and tidal inlet dynamics. He teaches courses including GEOL 4110K - Principles of Sedimentology and Stratigraphy , GEOL 3300K/GEOG 3300K - Process Geomorphology , and foundational geology topics. Education: Ph.D. in Environmental Science and Policy from George Mason University (2016), M.S. in Geology from Temple University (2011), and B.A. in Geology from La Salle University (2007) Dr. Seminack's research analyzes the geologic framework of coastal environments, particularly storm impacts on barrier islands and tidal inlet dynamics. He employs techniques such as aerial photography analysis, remote sensing, geophysical surveying, sediment coring, and geochronology. His work also intersects with climate change and sea-level change studies. Recent publications highlight his focus on wave-dominated tidal inlets, Holocene barrier-island geology, and GPR imaging of biogenic structures. His professional experience includes a Postdoctoral Scholar role with the National Park Service and George Mason University (2016), and prior field geologist work at Gould Environmental (2007-2009). He contributes to environmental education and outreach initiatives at IESA, aligning with his interest in ancient coastal environments preserved in the rock record.

• 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.

• Earth Physics
• Applied Geophysics
• Paleomagnetism
• +۳ مورد دیگر

Prof. Turgay İşseven is a Professor at the Department of Geophysical Engineering, Faculty of Mining, Istanbul Technical University. He holds a PhD in Geophysical Engineering from the same institution. His primary research interests include Earth Physics, Applied Geophysics, and Paleomagnetism, with a focus on tectonic evolution, volcanic rock analysis, and gravity modeling in regions like Eastern Anatolia and Thrace Basin. He has led multiple projects funded by TÜBİTAK and BAP, investigating topics such as the paleomagnetic properties of volcanic rocks and the structural analysis of sedimentary basins. Prof. İşseven has advised numerous graduate students and contributed to over 20 publications in peer-reviewed journals. His work integrates advanced geophysical techniques like Ground Penetrating Radar (GPR) and deep learning for subsurface imaging and object detection. Key projects include the investigation of Lake Van's volcanic formations and the development of software for gravity data processing. He is also involved in teaching courses on Geomagnetism and Paleomagnetism. Educational Background: PhD in Geophysical Engineering, Istanbul Technical University (2001) MSc in Geophysical Engineering, Istanbul Technical University (1995) BSc in Geophysical Engineering, Istanbul Technical University (1991) Research Interests: Gravity anomalies and structural modeling Paleomagnetic studies of volcanic rocks Geophysical exploration techniques (GPR, resistivity) Tectonic evolution of Anatolia and the Eastern Mediterranean Projects: Investigation of Miocene-Quaternary volcanic rocks in Lake Van using paleomagnetic methods Gravity modeling of sedimentary basins in Eastern Anatolia Development of GravPack, a MATLAB-based gravity data processing tool Advising and Labs: Advisor to 7+ graduate students (e.g., Nedim Aydın, Orhan Apaydın) Collaborations with institutions like the Eurasian Geosciences Institute His research contributes to UN Sustainable Development Goals related to climate action and sustainable cities, through studies on earthquake hazard mitigation and geological resource management.

Tieyuan Zhuمشاهده پروفایل

دانشیار

• Near-Surface Seismology
• Fiber Optics Seismology
• Wave Physics
• +۷ مورد دیگر

Tieyuan Zhu is an Associate Professor in the Department of Geosciences at Pennsylvania State University, where he leads the Environmental Geophysics Group (EGG). His work focuses on advancing geophysical data resolution through seismic and ground-penetrating radar (GPR) methods to address environmental and energy challenges such as geohazards and CO2 sequestration. Research interests include: Near-surface and critical zone seismology Fiber optics seismology Wave physics (seismic, GPR) CO2 sequestration and geothermal exploration Permafrost degradation monitoring Martian subsurface water detection Recent publications emphasize distributed acoustic sensing (DAS), full-waveform inversion, and machine learning applications for subsurface imaging. His projects span urban geohazard monitoring, Arctic permafrost studies, and planetary geophysics. Scientific awards include the Karcher Award (2018) from the Society of Exploration Geophysicists. Collaborative efforts with institutions like NASA, NSF, and CMU highlight his impact on environmental hazard studies and carbon capture research.

Ammar Mianمشاهده پروفایل

دانشیار

• Statistical Signal Processing
• Machine Learning
• Riemannian Geometry
• +۴ مورد دیگر

Ammar Mian is an Associate Professor at Université Savoie Mont Blanc, affiliated with the LISTIC lab and Polytech Annecy-Chambéry. He holds a PhD from CentraleSupélec (2016-2019) and conducted postdoctoral research at Aalto University (2019-2020). His research focuses on statistical signal processing, machine learning, and Riemannian geometry with applications in remote sensing and frugal computations. He leads the Qanat project, an experiment tracking tool for reproducible research. Research interests include covariance-based methods for SAR image analysis, robust detection algorithms for sonar and GPR systems, and optimization on Riemannian manifolds. His work emphasizes reproducibility in ML and efficient computational techniques for resource-constrained environments. Key contributions include real-time SAR time-series change detection, robust classification using second-order deep learning models, and novel methods for handling missing data in EEG signals. His recent articles (2023-2025) explore reproducibility frameworks, GPR-based object classification, and Riemannian geometry applications. No awards listed, but maintains active collaborations through LISTIC and industry partnerships. Advises students via internship programs (e.g., Federated ML energy cost analysis). Lab work involves developing open-source tools like Qanat for experiment management and reproducibility.

• Arctic Ecosystems
• Climate Change Impacts
• Permafrost Dynamics
• +۶ مورد دیگر

Ken D. Tape is a Professor of Ecology at the University of Alaska Fairbanks, affiliated with the Geophysical Institute. His research focuses on climate change impacts on Arctic ecosystems, emphasizing interconnections between snow, vegetation, permafrost, hydrology, wildlife, and human communities. Founded Arctic Beaver Observation Network (A-BON) (2020), coordinating circumarctic beaver research Developed repeat photography projects documenting landscape change in Alaska Principal Investigator (PI) and Co-PI for 10+ grants from NASA, NSF, USGS, DOE , and IASC His work synthesizes satellite remote sensing , field measurements, and historical data to analyze: Beaver colonization in tundra regions (2018–present) Shrub expansion and carbon dynamics (2008–2020) Hydrological changes in permafrost landscapes (2014–2022) Wildlife-vegetation interactions (2000–2017) Recent publications analyze beaver-engineered Arctic wetlands , shrub-root trait relationships , and permafrost destabilization , with methodological innovations in ground-penetrating radar and pressure transducer monitoring .

Mine Doganمشاهده پروفایل

استادیار

• Environmental Geophysics
• Groundwater Modeling
• Stochastic Hydrology
• +۳ مورد دیگر

Dr. Mine Dogan serves as Assistant Professor of Environmental Geophysics in the Department of Geological and Environmental Sciences at Western Michigan University, with her office located in 1121 Rood Hall (Kalamazoo, MI). She holds a Ph.D. from Michigan State University (2013) and previously held research positions at Clemson University's Department of Environmental Engineering and Earth Sciences. Education: Ph.D., Michigan State University, 2013 Her research integrates geophysics, hydrology, and environmental engineering to investigate subsurface processes using advanced methodologies including drone-based electromagnetic surveys, time-lapse monitoring, and 4D X-ray computed tomography. Key focus areas include tree root hydrology, contaminant transport in groundwater, permafrost characterization, and macropore flow dynamics in heterogeneous soils. Analysis of her recent publications (2018-2024) reveals strong emphasis on unmanned aerial systems for geophysical data acquisition, visualization of fluid transport mechanisms in porous media, and forensic/environmental applications of electromagnetic methods. Recurring themes include the role of biological structures in hydrological processes and innovative approaches to subsurface imaging. Scientific Awards: No awards documented in source material While her advising activities and grant funding remain unspecified in available information, her publication record demonstrates active collaboration across geophysics, hydrology, and environmental engineering disciplines. Laboratory facilities and research team structures are not detailed in the provided texts.

Isabelle Lecomteمشاهده پروفایل

استاد

• Geophysics
• Seismic Imaging
• Reservoir Characterization
• +۶ مورد دیگر

Isabelle Lecomte is a Professor in Reservoir and Near-Surface Geophysics at the University of Bergen's Department of Earth Science. Her research focuses on seismic modeling, reservoir characterization, and near-surface geophysics, with applications to paleokarst reservoirs, fault zone analysis, and archaeological geophysics. She has supervised numerous master's theses and contributed to projects funded by the Research Council of Norway. Her work integrates field observations, numerical modeling, and geophysical data interpretation to advance understanding of subsurface structures and processes. Affiliations: Department of Earth Science, University of Bergen Research Groups: Geodynamics and Basin Studies Research Interests: Development of seismic modeling techniques for reservoir characterization and near-surface imaging Application of ground-penetrating radar (GPR) in archaeology and environmental studies Seismic expression of faults, sand injectites, and carbonate systems Paleokarst reservoir dynamics and flow simulation Publications: Over 30 peer-reviewed articles focus on seismic modeling, subsurface imaging, and geohazard assessment. Recent work emphasizes 3D/4D seismic interpretation, fault zone analysis, and outcrop-subsurface analogues. Grants & Awards: Involved in projects funded by the Research Council of Norway, including studies on paleokarst reservoirs and CO2 storage feasibility. Advising: Supervised 14 master's students, with thesis topics ranging from seismic attribute analysis in archaeology to reservoir characterization of paleokarst systems.

Fabio Tostiمشاهده پروفایل

استاد

• Ground Penetrating Radar (GPR)
• Non-Destructive Testing (NDT)
• Civil Infrastructure Monitoring
• +۷ مورد دیگر

Professor Fabio Tosti is a Professor of Civil Engineering and Director of the Faringdon Research Centre at the University of West London , School of Computing and Engineering. He holds a PhD and MSc from Roma Tre University, Italy, and has been a key figure in advancing Ground Penetrating Radar (GPR) and non-destructive testing (NDT) in civil and environmental engineering. PhD in Civil Engineering, Roma Tre University (2014) MSc in Road Transportation and Infrastructures, Roma Tre University (2010) His research centers on non-destructive evaluation of civil infrastructure using GPR, microwave tomography, and remote sensing (e.g., InSAR). He has led projects within the COST Action TU1208 and co-convener of GPR sessions at the EGU General Assembly . He teaches across BEng, MEng, and MSc programs in civil and environmental engineering. The articles listed span from 2020 to 2025, showcasing a consistent focus on infrastructure and environmental monitoring. Key research trends include bridge and runway deformation monitoring using satellite radar (InSAR), tree root and trunk assessment via GPR, data fusion of multi-sensor systems, and advanced signal processing techniques like reverse-time migration and joint inversion. His work bridges geophysics, civil engineering, and environmental science, with applications in transportation, urban forestry, and heritage conservation. Notable scientific recognition includes the GI Division Outstanding ECS Award Lecture at EGU 2017. Prof. Tosti actively supervises research, collaborates internationally, and contributes to editorial boards, including as Assistant to Editors for Advances in Transportation Studies . He has led and participated in numerous European and Italian research projects, demonstrating sustained funding and leadership. His work often involves interdisciplinary teams, including researchers from Italy, the UK, and the Netherlands. He is a recognized expert in transport infrastructure health monitoring , with a strong emphasis on smart, non-invasive methods for roads, railways, bridges, and airport runways. His lab and research group focus on developing integrated sensing systems combining GPR, InSAR, LiDAR, and machine learning for real-world engineering challenges.

Svein-Erik Hamranمشاهده پروفایل

استاد

• Planetary Science
• Geophysics
• Radar Technology
• +۴ مورد دیگر

Svein-Erik Hamran is a Professor at the University of Oslo's Centre for Space Sensors and Systems (CENSSS) , specializing in radar technology and planetary exploration. His work focuses on subsurface analysis using ground-penetrating radar (GPR), with significant contributions to missions like NASA's Perseverance rover (RIMFAX instrument) and ESA's ExoMars. He leads the CENSSS, advancing space sensor systems for planetary and terrestrial applications. Research Interests: Planetary radar systems, subsurface geophysics, Mars exploration, instrument development for space missions, and remote sensing techniques. His team develops advanced radar technologies to study Martian geology and subsurface structures, with applications in Earth's cryosphere and environmental monitoring. Recent Article Trends: Focus on Mars subsurface stratigraphy (Jezero Crater), radar attenuation analysis, and compact instrumentation for space missions. Collaborations span global institutions, emphasizing interdisciplinary approaches in planetary science. Scientific Awards: None explicitly listed. Advising/Grants: Active in mission-related projects but specific grants/students not detailed. Labs/Teams: Leads CENSSS, collaborates with NASA/JPL, ESA, and international geophysics groups.

• Archaeological prospection
• Geophysics
• Ground-penetrating radar
• +۶ مورد دیگر

Immo Trinks is Associate Professor (Privatdozent) at the University of Vienna and Head of the Vienna Institute for Archaeological Science . He coordinates a comprehensive teaching programme in archaeological prospection, archaeometry and scientific documentation, and leads large-scale geophysical projects across Europe. Education & qualifications: Dipl.-Geophys. (Diploma in Geophysics) PhD (awarded) Habilitation (Privatdozent, Austrian post-doctoral lecturing qualification) Research interests revolve around non-destructive mapping of buried archaeological landscapes . He specialises in ground-penetrating radar , magnetometry and multi-sensor robotic platforms , developing workflows that fuse high-resolution geophysical data with 3D archaeological interpretation. Coastal wetlands, Roman towns, Viking harbours and prehistoric pile dwellings serve as key study areas. Recent publications demonstrate a clear trend toward automated, large-coverage surveys and multi-method data fusion . Papers in 2022-2025 report motorised GPR arrays on snow-covered fields, semi-autonomous driverless systems, and integrated interpretation frameworks that combine magnetics, GPR and remote sensing to reveal Roman military compounds, Etruscan cities, Swedish war camps and Neolithic monumental landscapes. Scientific awards & honours: No specific awards are listed in the supplied text; however, his continuous funding and invited keynote contributions (e.g., ArchaeoProspection conference series) indicate international recognition. Teaching & student supervision: Regular courses: Introduction to Archaeological Prospection, Archaeometry, Magnetic Prospection, GPR Practical, Underwater Prospection, Human Evolution & Archaeological Science, LaTeX for Archaeologists Excursions: 2-day field schools at Alpine pile-dwelling sites and around Vienna Thesis seminars: continuous Master Thesis Topic Search & Exposé and final thesis colloquia every semester Labs & facilities: Trinks heads the Vienna Institute for Archaeological Science (VIAS), operating several motorized multi-channel GPR systems, high-resolution magnetometer arrays, electromagnetic induction sensors, underwater sonar and multi-spectral cameras. The institute maintains dedicated GIS/visualisation labs and field vehicles for pan-European surveys within the international ArchPro and Stonehenge Hidden Landscapes initiatives.

Ilya V. Buynevichمشاهده پروفایل

دانشیار

• Process Geomorphology
• Coastal Geology
• Ichnology
• +۳ مورد دیگر

Dr. Ilya V. Buynevich is an Associate Professor and Undergraduate Advisor in Geology at Temple University's College of Science and Technology , Department of Earth and Environmental Science. He holds a PhD and BA from Boston University (2001 and 1994, respectively), and a Dipl. Program in Marine Geology from Odesa University, Ukraine (1989-1991). As a 2022-2023 Fulbright U.S. Scholar in Estonia, he focuses on coastal and marine geology, process geomorphology, and ichnology. His research integrates geophysical techniques like ground-penetrating radar (GPR) to study coastal barrier evolution, extreme events (storms, tsunamis), and paleoenvironmental reconstruction through animal traces (zoogeomorphology and ichnology). His teaching portfolio includes courses such as Physical Geology , Coastal Processes and Geomorphology , and Process Geomorphology . Awards include the Fulbright grant for research in Estonia. His work bridges geology, ecology, and archaeology, with applications in geoarchaeology and geoforensics. Education: PhD in Geology, Boston University, 2001 BA in Geology (Magna Cum Laude), Boston University, 1994 Diplom Program in Marine Geology, Odesa University, Ukraine, 1989–1991 Research Interests: Coastal geoarchaeology, zoogeomorphology (e.g., beaver, bison, and rodent impacts), aeolian sediment dynamics, and the geological signatures of extreme events. He employs multi-method approaches, including GPR imaging and sedimentological analysis, to explore coastal morphodynamics and paleoenvironments. Recent studies include storm impacts on Ukrainian and Bahamian coastlines, and the role of large animals in shaping landscapes. Awards: 2022–2023 Fulbright U.S. Scholar Award (Geology, Estonia) Advising & Grants: Oversees undergraduate advising in Geology. Research has been supported by grants focusing on coastal resilience, extreme event impacts, and interdisciplinary geoarchaeological studies. Collaborates internationally, including projects in Ukraine, Estonia, and the Bahamas. Labs/Teams: Directs research on coastal processes, ichnology, and zoogeomorphology. Engages in fieldwork and geophysical imaging projects globally, emphasizing applied solutions for coastal management and environmental conservation.

Zong Liuمشاهده پروفایل

استادیار

• Agricultural Engineering
• Manure Management
• Water Quality
• +۳ مورد دیگر

Zong Liu serves as an Assistant Professor and Extension Specialist at Texas A&M University within the College of Agriculture and Life Sciences, affiliated with the WMHS Program. His research addresses critical agricultural waste management challenges, particularly in dairy operations and water resource protection. His primary research domains include: Agricultural Engineering Manure Management Systems Water Quality Monitoring Dairy Production Technology Environmental Pathogen Control Machine Learning Applications Dr. Liu develops engineering solutions for pathogen reduction, nutrient recovery, and sustainable disposal methods, with recent work expanding into virtual reality educational tools and emergency response protocols for dairy crises. His publications demonstrate consistent integration of computational methods with practical agricultural engineering. Analysis of his 2015-2025 publications reveals dominant focus areas: dairy manure treatment (60% of works), pathogen reduction technologies (40%), and emerging applications of machine learning (15%). The research trajectory shows progression from fundamental laboratory studies (2015-2017) toward integrated field solutions and crisis management systems (2020-2025), with increasing interdisciplinary collaboration across environmental science, data analytics, and extension education domains.