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Gillian TaylorView profile

Associate Professor

• Analytical Chemistry
• Forensic Science
• Archaeological Chemistry
• +9 more

Gillian Taylor is an Associate Professor (Research) in the Department of Life Sciences at Teesside University, affiliated with the Centre for Biodiscovery. She leads modules on Analytical Techniques and Substances of Misuse. Previously, she studied at Newcastle University and conducted post-doctoral research at the Max Planck Institute for Evolutionary Anthropology in Leipzig, Germany. Her work spans peer-reviewed journals and book chapters in archaeological and forensic chemistry. Education: PhD in Analytical Chemistry (details unspecified). Postgraduate studies at Newcastle University. Post-doctoral research at Max Planck Institute for Evolutionary Anthropology. Research Interests: Gillian focuses on developing analytical techniques for forensic and archaeological applications. Her expertise includes volatile organic compounds analysis (via SPME/GC-MS), preservation processes (chemical and microbiological), decomposition in aerobic/anaerobic environments, mass spectrometry method design, soil elemental analysis, and image analysis. She collaborates globally on projects like leather preservation at Vindolanda, soil mechanisms in decomposition, and marine species health monitoring through VOCs. Scientific Projects: Preservation Processes - Vindolanda: Investigates chemical/microbiological influences on bone, leather, and textiles preservation. 3D Imaging at Vindolanda: Uses structured light scanning to document archaeological structures. Climate Change and Peatlands: Monitors carbon dynamics affecting Roman fort sites like Magna. Drug Identification: Partnerships for gas chromatography-mass spectrometry applications in law enforcement. Scientific Awards: Fellow of the Higher Education Academy. Advising & Grants: Gillian is actively mentoring PhD students and leads/co-leads multiple grants: KTP - CSX Carbon: Deep learning for peatland restoration (2023-2026). Biological Invasions in Argentina: Studies invasive species and fisheries impact (2020-present). GRASSROOTS: British Academy-funded project on Roman turf walls (2021-2022). KTP - Quorn Proteome: Process improvement for food bioprocessing (2020-2022). Labs & Teams: Collaborates extensively with the Vindolanda Trust, local industries for GC-MS method development, and global partners in climate change and archaeology. Leads the Centre for Biodiscovery at Teesside University, integrating environmental and archaeological research.

Kate WinterView profile

Senior Lecturer

• Glaciology
• Climate Science
• Remote Sensing
• +3 more

Dr. Kate Winter is a Senior Lecturer in Extreme Environments within the Department of Geography and Environmental Sciences at Northumbria University. Her research focuses on glaciology, using ice-penetrating radar and remote sensing to study subglacial environments, ice dynamics in Antarctica, and sediment transport mechanisms. She investigates how topography influences ice flow and integrates geophysical data to understand long-term ice sheet stability. Her work emphasizes interdisciplinary approaches, combining field-based studies with computational modeling. Notable areas of interest include the impact of climate change on subglacial lakes, the role of oil sands in glacial dynamics, and the reconstruction of past ice sheet configurations through radar stratigraphy. She collaborates with the NUSTEM team to develop science communication initiatives aimed at public engagement. Dr. Winter teaches undergraduate modules on glaciology, climate science, and geology, supervising projects at all academic levels. Her research has been published in high-impact journals, with a focus on Antarctic and Greenland ice sheet dynamics, subglacial processes, and paleoclimatic reconstructions. Current projects include assessing drilling sites for subglacial bedrock analysis and evaluating the potential of 'old ice' cores in East Antarctica for climate records. Her outreach efforts bridge academic research with public understanding, emphasizing the societal relevance of glacial science in addressing climate change challenges.

• Environmental Science
• Computer Science
• Geophysics
• +3 more

Univ.-Prof. Jan Beutel, PhD is a Professor in the Department of Computer Science at the University of Innsbruck. His research focuses on interdisciplinary applications of wireless sensor networks, IoT systems, and cyber-physical systems in environmental monitoring, particularly in mountain permafrost dynamics. He leads projects combining geophysical fieldwork with advanced computational methods to study slope stability, cryospheric processes, and seismic activity in alpine environments. Research Interests Permafrost Dynamics & Cryospheric Monitoring Wireless Sensor Networks in Extreme Environments IoT Applications for Environmental Sensing Real-Time Data Analysis in Geohazards Time-Triggered Wireless Protocols (e.g., TTW, BLITZ) His work involves long-term instrumentation of sites like the Matterhorn Hörnligrat, analyzing thermal, seismic, and kinematic data to understand rockwall stability and climate impacts. Key contributions include developing energy-efficient communication protocols for wireless systems and integrating machine learning for event detection in sensor networks. Lab/Team He collaborates with the PermaSense project, deploying multisensor systems for mountain cryosphere research. His group also pioneers testbeds like FlockLab 2 for IoT validation.

• Environmental Engineering
• Bioremediation
• Waste Valorization
• +3 more

Dr. Satinder K. Brar is a distinguished Professor and James and Joanne Love Chair in Environmental Engineering at York University's Lassonde School of Engineering. She leads the One WATER Institute and the Inzymes Group, focusing on sustainable waste valorization and emerging contaminant mitigation. Her research spans bioremediation (e.g., enzyme-based oil cleanup), biopesticide development, and innovative water treatment technologies. With over $15M in research funding, she has trained 80+ students and pioneered enzyme technologies adopted by industries like TechnoRem Inc. and Lassonde Inc. Education: Ph.D. in Environmental Engineering (not explicitly stated but implied by academic rank and roles) Research Interests: Her work addresses global environmental challenges through interdisciplinary approaches. Key areas include converting agricultural residues into biofertilizers, tackling microplastics and pharmaceuticals in water systems, and advancing green enzyme oxidation methods. She collaborates with institutions like Quebec municipalities and H2O Innovation, emphasizing practical industry applications. Publications & Impact: Over 400 peer-reviewed articles and 8 patents highlight her contributions. Recent work emphasizes enzyme-based solutions for oil spills and antibiotic resistance, with applications in Vietnam, Morocco, and India. Her research influences global policies via the EU and FAO. Grants & Funding: Secured over $15M in research grants, supporting projects on biofuel production from biodiesel byproducts and cyanidation of gold ores. Labs & Teams: Directs the Inzymes Group, fostering collaboration across engineering, biology, and chemistry disciplines to solve water sustainability challenges. The One WATER Institute integrates interdisciplinary efforts for global water solutions.

Michael L. MyrickView profile

Professor

• Optical Spectroscopy
• Environmental Science
• Forensic Spectroscopy
• +3 more

Michael L. Myrick is a Professor of Chemistry at the University of South Carolina's McCausland College of Arts and Sciences, Department of Chemistry and Biochemistry. He has held academic roles since 1991, including President of the Coblentz Society (2011–2013) and Chief Scientist at Ometric Corporation (2004–2011). His research focuses on optical spectroscopy, phytoplankton community analysis, forensic infrared imaging, and particle/film spectroscopy. Education: B.S. in Chemistry from North Carolina State University (1985), Ph.D. in Physical Chemistry from New Mexico State University (1988). Postdoctoral work at LLNL (1989–1990). Research interests span optical spectroscopy applications in environmental and forensic contexts. He collaborates with Professors Shaw and Richardson on phytoplankton studies and develops forensic imaging tools with Dr. Morgan. His work addresses challenges in heterogeneous sample analysis, such as phytoplankton species classification and blood detection on fabrics. Awards include the Gerald S. Birth Award (2012), Army Research Office Young Investigator Award (1992), and NSF Graduate Fellowship (1986). He holds over 20 patents, including innovations in multivariate optical computing and chemical sensors. Labs: GSRC 223 (office), SMWALT 108/109A/110 (labs). His teams include graduate students and postdoctoral researchers in spectroscopic instrumentation and environmental chemistry.

Stephen RiceView profile

Professor

• River Geomorphology
• Biogeomorphology
• Ecohydraulics
• +7 more

Professor Stephen Rice is a distinguished academic in river science and environmental sustainability, currently holding the title of Professor of River Science and Environmental Sustainability (BioGeomorphology) at Manchester Metropolitan University (MMU). Previously, he served at Loughborough University in roles including Professor, Head of Department of Geography and Environment, and Associate Dean for Research & Innovation. His research focuses on fluvial geomorphology, biogeomorphology, and ecohydraulics, with a particular emphasis on gravel-bed rivers and the interactions between biotic and abiotic processes. Education: BA Geography, Oxford University, Herford College (EW Gilbert Prize) MSc and PhD from University of British Columbia (Canada), specializing in bed material texture and fluvial sediment dynamics. Research interests include the role of organisms like crayfish, fish, and insects in shaping river morphology, sediment transport dynamics, and the ecological implications of fluvial processes. He leads the new BioGeomorphology (BiG) Lab at MMU, equipped with experimental flumes and particle image velocimetry (PIV) for studying biogeomorphic interactions. Professional roles: President (and Fellow) of the British Society for Geomorphology Editorial Board member of Sedimentology, RGS-IBG Book Series, and others External examiner at Durham, Lancaster, and Manchester Universities Key contributions include studies on invasive species impacts, sediment-ecology linkages, and the development of novel methodologies for quantifying riverbed roughness and biotic effects on sediment transport. His work bridges physical and ecological disciplines, emphasizing interdisciplinary approaches to river management and restoration.

• Porous Media Flow
• Geological Carbon Sequestration
• Subsurface Energy Systems
• +2 more

Dr. Cheng Chen is Associate Professor and Nariman Farvardin Professor in the Department of Civil, Environmental and Ocean Engineering at Stevens Institute of Technology. He directs the Subsurface Energy, Water and Environmental Systems (SEWES) Lab, focusing on porous media transport phenomena through combined computational and experimental approaches. His NSF and DOE-funded research addresses multiphase flow in geological formations for carbon sequestration, shale energy recovery, and nuclear waste disposal. Recent work integrates machine learning for scale-bridging data assimilation and distributional reinforcement learning for autonomous marine systems. Chen's methodological innovations include lattice Boltzmann simulations for pore-scale analysis and Gaussian process models for uncertainty quantification. Scholarly outputs demonstrate consistent focus on energy-geoscience interfaces, with recent expansion into privacy-preserving federated learning applications for IoT systems. His 2023-2024 publications increasingly address security challenges in distributed computing and adversarial machine learning. Major Recognition: Stanford Top 2% Most Cited Scientist (2023) Nariman Farvardin Endowed Professorship Chen teaches numerical methods in environmental engineering and subsurface flow modeling, maintaining industrial partnerships with Schlumberger, SeaRobotics, and Consolidated Edison. He holds editorial roles for SPE Journal and has authored over 60 peer-reviewed publications.

Jianwen YangView profile

Professor

• Geofluids
• Geo-electrical methods
• Hydrogeology
• +4 more

Dr. Jianwen Yang is a Professor in the Department of Earth and Environmental Sciences at the University of Windsor, affiliated with the School of the Environment. He holds editorial roles at journals including Groundwater and Hydrogeology Journal . His research focuses on geofluids, geo-electrical methods, hydrogeology, and computational modeling of subsurface processes. He has supervised numerous graduate students and postdoctoral fellows. Dr. Yang completed his B.Sc. at Guilin University of Technology (1983), M.Sc. at Central-South University (1986), and later earned M.Sc. (1992) and Ph.D. (1997) degrees from the University of Toronto. His research interests include hydrothermal fluid flow modeling, contaminant transport in groundwater systems, and numerical simulations of geological processes. He leads the Geohydrophysical Experimental and Modelling (GEM) Facilities, equipped with advanced computational and experimental tools such as SunBlade workstations and geo-electrical imaging systems. Dr. Yang’s work combines field observations with computational models to address challenges in environmental geophysics, mineral deposit formation, and subsurface fluid dynamics. His lab, the Geofluids Modelling Facility, supports multi-dimensional modeling of fluid flow and mass transport. He has advised over a dozen graduate students and hosted postdoctoral researchers focusing on topics like ore-forming fluid flow and landfill leachate transport. His research has been funded through grants from organizations like CFI/OIT.

Guillaume CaumonView profile

Professor

• Numerical Geology
• Geomodeling
• Uncertainty Quantification
• +5 more

Guillaume Caumon is a Full Professor in Numerical Geology at the Nancy School of Geology and GeoRessources, Université de Lorraine. He leads the RING Consortium (since 2007) and holds a senior innovation chair at Institut Universitaire de France (2023–2028). His expertise includes numerical methodologies for integrating geological and physical observations, with a focus on uncertainty quantification, geomodeling, geostatistics, and meshing. He has held roles such as postdoctoral scholar at Stanford University (2003–2004) and visiting professor at the Colorado School of Mines (2015). His education includes a MSc and PhD from Nancy School of Geology/INPL, with a Habilitation in Geosciences addressing uncertainty quantification in geomodeling. Research interests span numerical geology, geomodeling workflows, and subsurface uncertainty analysis. His work emphasizes stochastic methods, structural restoration, and applications in reservoir geology. Recent publications focus on 3D metamorphic modeling, fault network stochastic interpretation, and transdimensional inversion. He directs the RING Consortium, fostering collaborative earth modeling initiatives. Key awards include the senior innovation chair (IUF). Teaching involves geomodeling, geostatistics, and C++ programming. His research bridges geology and computational methods, addressing challenges in subsurface characterization and uncertainty management.

Nitin SinghView profile

Assistant Professor

• Environmental Systems
• Hydrology
• Water Resources Management
• +3 more

Nitin Singh is an Assistant Professor in the Department of Crop, Soil & Environmental Sciences at Auburn University's College of Agriculture. His research focuses on environmental systems, hydrology, and agricultural sustainability. He explores topics such as groundwater dynamics, climate change impacts, and nutrient cycling in agricultural and natural watersheds. Dr. Singh leads research initiatives addressing water resource management challenges, including drought resilience, phosphorus pollution mitigation, and floodplain restoration strategies. His work integrates hydrological modeling, Bayesian frameworks, and geospatial analysis to understand complex environmental interactions. Recent studies highlight his contributions to understanding subsurface flow contributions under climate change, human impacts on seasonal streamflows, and optimizing wetland restoration for water quality. He actively publishes in high-impact journals and collaborates across disciplines to advance sustainable resource management practices. His lab at Auburn University focuses on bridging field observations with computational models to address real-world environmental challenges. Current efforts include analyzing long-term groundwater patterns and assessing hydrological vulnerability in rapidly urbanizing regions.

Lauren BeckinghamView profile

Associate Professor

• Mineral Reactions and Reaction Rates in Porous Media
• Multi-Scale Imaging of Dynamic Porous Media
• Porosity-Permeability Evolution in Reactive Porous Media
• +4 more

Lauren Beckingham serves as the W. Allen and Martha Reed Associate Professor (Environmental) and Associate Department Chair in Civil and Environmental Engineering at Auburn University's Samuel Ginn College of Engineering. Her research pioneers geochemical processes in porous media for subsurface energy storage and carbon sequestration, integrating experimental, computational, and machine learning approaches to address critical energy and environmental challenges. Her educational background includes: Ph.D. in Civil and Environmental Engineering from Princeton University M.S. in Civil and Environmental Engineering from Princeton University B.S. in Environmental Engineering from Michigan Technological University Beckingham's research focuses on mineral reaction kinetics, multi-scale imaging of dynamic porous media, and porosity-permeability evolution. She investigates subsurface energy systems including compressed air storage, geologic CO2 sequestration, enhanced oil recovery, and hydraulic fracturing. Her innovative work employs 3D-printed reactive porous media to control and observe geochemical reactions at pore scales, bridging fundamental science with practical energy applications. Analysis of her recent publications reveals a dominant focus on carbon and hydrogen storage in geological formations, with increasing integration of machine learning for reactive transport modeling. Her work demonstrates methodological evolution from traditional geochemical analysis toward multi-scale experimental platforms combining nanotomography, 3D printing, and computational modeling to unravel complex subsurface processes. Her scientific recognition includes: NSF Faculty Early CAREER Development Award (2019) NSF Major Research Instrumentation Award (2020) DOE Early Career Award for subsurface hydrogen storage Emerging Investigator Award from the Journal of Applied Geochemistry Beckingham has secured over $1.7 million in competitive funding, including leadership of an NSF CAREER project, an NSF MRI grant for an X-ray Computed Nanotomography system, and a DOE Early Career award. She co-leads a $139,375 NSF renewable energy education initiative with Tuskegee University and serves as Co-PI on an $887K FTA project optimizing zero-emission bus materials. Her doctoral advisee Nora Lopez Rivera received a DOE SCGSR award, reflecting her mentorship impact. Her laboratory utilizes a state-of-the-art X-ray Computed Nanotomography system for in-situ mechanical and thermal testing, complemented by custom 3D printing capabilities for fabricating reactive porous media. She collaborates extensively through Auburn's National Center for Additive Manufacturing Excellence and interdisciplinary teams addressing energy storage challenges.

Timothy HavensView profile

Professor

• Artificial Intelligence
• Machine Learning
• Pattern Recognition
• +6 more

Timothy Havens is a Professor at Michigan Technological University in the Department of Computer Science within the College of Computing. He holds the William and Gloria Jackson Professorship and serves as Executive Director of both the Great Lakes Research Center and the Institute of Computing and Cybersystems. Dr. Havens also directs the PRIME Lab and has been recognized for both teaching and research excellence, including the 2014-15 Professor of the Year award from IEEE Eta Kappa Nu and Best Paper Awards at FUZZ-IEEE 2012 and IEEE SMC 2011. Dr. Havens received his Ph.D. in Electrical and Computer Engineering from the University of Missouri, Columbia in 2010. Prior to joining Michigan Tech, he was an NSF/CRA Computing Innovation Postdoctoral Fellow at Michigan State University under Dr. Anil Jain. Before his Ph.D. work, he was an Associate Technical Staff member at MIT Lincoln Laboratory. His educational background includes an M.S. in Electrical Engineering (2000) and a B.S. in Electrical Engineering (1999), both from Michigan Technological University. His research focuses on pattern recognition and machine learning, signal processing, and sensor fusion, with specific expertise in fuzzy integrals, Choquet integration, community detection in networks, and heterogeneous data mining. Dr. Havens has made significant contributions to explainable AI, particularly through the application of fuzzy integrals to deep learning systems. His recent publications demonstrate strong activity in developing novel regularization techniques for fuzzy Choquet integrals, efficient algorithms for community detection, and similarity measures for interval data. Dr. Havens' research has been consistently funded by prestigious organizations including DARPA, NSF, US Navy, Office of Naval Research, National Geospatial-Intelligence Agency, Ford Motor Company, MIT Lincoln Laboratory, and numerous other government and industry partners. His current projects include significant grants for radar systems in the Great Lakes, generative modeling of satellite imagery, and algorithms for autonomous robot systems. Scientific Awards: 2014-15 Professor of the Year by IEEE Eta Kappa Nu, Beta Gamma Chapter Best Paper Award at FUZZ-IEEE 2012 Best Paper Award at IEEE SMC 2011 Best Student Paper Award Finalist (2018) IEEE Franklin V. Taylor Memorial Best Paper Award (2011) Dr. Havens has successfully mentored numerous graduate students, many of whom appear as co-authors on his publications. His research grants demonstrate strong leadership in coordinating multi-institutional collaborations with substantial funding. Beyond his academic work, Dr. Havens is also an active musician, playing bass in several bands including MUFJAC, FLOTUS, Defenestra, Skills of Ortega, Psylocubik, Triptych, Wheels of Fire, and Odibil libidO.

Edip NiverView profile

Professor

• Antenna Design
• Waveguide Systems
• Microwave Engineering
• +2 more

Edip Niver is Professor of Electrical and Computer Engineering at NJIT, having joined the institution in 1982. His research spans antenna systems, waveguide technologies, and electromagnetic applications in communications and sensing. With degrees from Middle East Technical University (PhD 1979, MS 1973, BS 1970), his work bridges theoretical electromagnetics and practical RF engineering. Recent publications focus on waveguide antenna systems, microwave beam launchers, and impedance matching techniques, with applications in telecommunications and RF systems. His laboratory develops advanced electromagnetic solutions for modern communication challenges.

Tirupati BolisettiView profile

Professor

• Hydrology
• Climate Change Impact Assessment
• Geothermal Energy
• +4 more

Dr. Tirupati Bolisetti is a Professor in the Department of Civil and Environmental Engineering at the University of Windsor's Faculty of Engineering. He holds a PhD from the University of Windsor, an MTech from the Indian Institute of Technology (IIT) Kanpur, and a BE from Andhra University, India. His research focuses on hydrology and climate change impact assessment, geothermal energy systems, evaporation from porous surfaces, and climate resiliency of Arctic water infrastructure. Key areas include hydrological modeling, geothermal energy applications, and sustainable urban drainage systems. Selected publications highlight contributions to borehole heat exchanger analysis, low-impact development practices, and climate change impacts on hydropower and hydrology. His work integrates advanced methodologies like Polynomial Chaos Expansion for uncertainty quantification and data assimilation techniques in hydrologic models. Professionally, he is affiliated with the Professional Engineers Ontario (PEO). His research trends emphasize adapting water infrastructure to climate change, advancing geothermal energy technologies, and optimizing urban flood management systems through interdisciplinary modeling approaches.

Yueqin HuangView profile

Assistant Professor

• Signal Processing
• Machine Learning
• Data Analytics
• +4 more

Yueqin Huang is an Assistant Professor in the Department of Information Science Technology at the University of Houston's Cullen College of Engineering. She holds a PhD in Communication and Information Systems from Xiamen University and was a visiting scholar at Duke University (2008-2010). Her research integrates signal processing, machine learning, and data analytics for subsurface characterization applications including: Energy transition technologies Geophysical inversion methods Electromagnetic modeling Real-time resource monitoring Her publication portfolio demonstrates extensive work in deep learning-enhanced inversion techniques for geophysical data, uncertainty quantification, and multi-physics integration for resource exploration. Research consistently focuses on computational efficiency and real-time applications in energy contexts.