Find Academic Supervisors

Sophie NowickiView profile

Professor

• Glaciology
• Ice-sheet modeling
• Climate modeling
• +3 more

Sophie Nowicki is an Empire Innovation Professor at the University at Buffalo's RENEW Institute, Department of Earth Sciences within the College of Arts and Sciences. She serves as Director of the Center for Geological and Climate Hazards. Her research focuses on ice sheet and sea level dynamics, using a combination of applied mathematics, remote sensing observations, and numerical modeling to understand how ice sheets interact with the global climate system. Empire Innovation Professor, University at Buffalo Director, Center for Geological and Climate Hazards Member of UB RENEW Institute Department of Earth Sciences, College of Arts and Sciences Dr. Nowicki's research interests center on glaciology, ice-sheet modeling, climate modeling, and sea level change. She studies how ice sheets interact with the global climate system and affect sea level change using a spectrum of models from idealized to large-scale continental ice sheet models. Her work is integral to climate models that provide forcing for ice sheet models, particularly through the Ice Sheet Model Intercomparison Project for CMIP6 (ISMIP6). She teaches courses including Introduction to Computational Earth Science, Environmental Remote Sensing, and various graduate research courses. Her recent publications reveal a strong focus on Antarctic and Greenland ice sheet modeling, sea level rise projections, and the development of advanced modeling frameworks. The research spans from fundamental glaciological processes to large-scale climate impacts, with a particular emphasis on quantifying uncertainties in ice sheet contributions to sea level rise. Her work frequently appears in top journals including Nature, The Cryosphere, and Geophysical Research Letters, and she has made significant contributions to the IPCC Sixth Assessment Report. Empire Innovation Professor recognition Lead contributor to IPCC AR6 Working Group I Principal Investigator for ISMIP6 (Ice Sheet Model Intercomparison Project) Dr. Nowicki actively mentors graduate students and postdoctoral researchers, with current advisees working on various aspects of ice sheet dynamics and sea level change. Her research is supported by multiple grants from NASA, NSF, and other agencies focused on improving our understanding and projections of ice sheet behavior in a warming climate. She leads the development of critical tools like the Cryosphere Model Comparison Tool (CmCt) and has been instrumental in establishing community standards for ice sheet modeling. She is involved with several research groups and initiatives including the Ice Sheet & Sea Level Lab at UB, which focuses on understanding how ice sheets will evolve in a warming world and what this means for future sea levels. Her team combines observational data with sophisticated modeling approaches to address key questions about ice-ocean and ice-atmosphere interactions that drive ice sheet changes.

Gaël KermarrecView profile

Researcher

• Boundary Layer Meteorology
• Atmospheric Turbulence
• GNSS Applications
• +3 more

Dr. Gaël Kermarrec is a researcher at the Boundary Layer Meteorology Group , part of the Institute of Meteorology and Climatology within the Faculty of Mathematics and Physics at Leibniz University Hannover . His work focuses on atmospheric turbulence, GNSS applications, and remote sensing for environmental monitoring. Boundary layer meteorology Turbulence theory GNSS signal processing Terrestrial laser scanning Climate change impacts Geodetic time series analysis His research integrates advanced mathematical models like LR B-splines and Matérn covariance with large eddy simulations to study: Atmospheric turbulence effects on optical/GNSS signals Hydrospheric mass loading Deformation analysis of terrain/port infrastructure Climatic sea-level changes Machine learning for remote sensing The 15 most recent articles (2025-2023) demonstrate his focus on: GNSS-based turbulence detection AI-enhanced climate mapping Advanced surface approximation techniques Multi-sensor data fusion Stochastic modeling of geodetic observations Environmental impacts on optical measurements He has developed tools like the Klimascanner QGIS plugin for urban climate resilience and contributes to: Understanding atmospheric scale lengths Improving TLS/GNSS deformation monitoring Analyzing hydrospheric changes Wavefront modeling Ionospheric corrections

James ReynoldsView profile

Academic

• Biomedical Engineering
• Agricultural Technology
• Sensors and Instrumentation
• +3 more

James Reynolds is an Assistant Research Professor in the Department of Electrical and Computer Engineering at North Carolina State University, affiliated with the iBionicS Lab. His work focuses on developing innovative sensor technologies for plant and animal health monitoring, including bioimpedance-based systems and implantable devices. His research explores interdisciplinary applications such as drought stress detection in plants, wearable ECG systems for poultry, and subcutaneous sensors for real-time animal physiology tracking. Key projects include injectable microchips for animal health monitoring and bioimpedance techniques for rapid plant stress identification. Recent trends in his publications highlight advancements in agricultural technology and biomedical engineering, with a emphasis on precision agriculture, sensor integration, and multimodal physiological monitoring. His work bridges electrical engineering, plant science, and veterinary medicine to address challenges in environmental sustainability and animal welfare. Labs and teams: Active contributor to the iBionicS Lab at NC State, focusing on bionic systems and interdisciplinary sensor development.

Ediz CetinView profile

Associate Professor

• Radio Frequency Interference Detection
• Fault-Tolerant Reconfigurable Circuits
• Machine Learning Applications
• +4 more

Ediz Cetin is an Associate Professor in Digital Electronics Engineering at Macquarie University's School of Engineering and a member of the Astrophysics and Space Technologies Research Centre. He serves as Course Director for the MEng Electronics Engineering program and Chair of the School's Postgraduate Coursework Committee. His research focuses on radio frequency interference mitigation, fault-tolerant reconfigurable circuits for space applications, machine learning in RF signal analysis, and low-power digital circuit design. Education: PhD in Signal Processing (Unsupervised Adaptive Signal Processing Techniques for Wireless Receivers) B.Eng. (Hons.) in Control and Computer Engineering Research Interests: RF interference detection and localization GNSS anti-jamming and spoofing detection FPGA-based reconfigurable systems Space instrumentation and CubeSat technologies Machine learning for signal processing Awards: Excellence in Learning Innovation (FSE Teaching Award, 2022) Highly Commended Finalist – Vice-Chancellor’s Award for Learning Innovation (2022) Innovative Approaches – Highly Commended (FSE Teaching Award, 2020) Key Projects: SmartSat CRC (2020–2026): Smart Satellite Technologies and Analytics Spacecraft Innovation Lab (2021–2022) CubeSat Biological Payload (2019–2022) Teaching Contributions: Led the 'Improving Student Engagement with Anywhere and Any-time Laboratory Access' initiative (2019–2020), enhancing remote lab accessibility for students.

Valeria BruschiView profile

Researcher

• Audio Engineering
• Signal Processing
• Spatial Audio
• +5 more

Valeria Bruschi is a Researcher at the Department of Information Engineering (DII) within the Faculty of Engineering at Università Politecnica delle Marche (UNIVPM) in Ancona, Italy. Her academic profile was last updated on April 13, 2024, and she maintains her office at the Engineering Faculty on via Brecce Bianche, with contact information including phone +39 071-220-4486 and email v.bruschi@staff.univpm.it. Dr. Bruschi's research spans multiple domains within audio and signal processing, with particular expertise in spatial audio systems, automotive human-computer interaction, and biomedical signal applications. Her work bridges theoretical signal processing techniques with practical implementations across diverse fields including automotive safety systems, hearing aid technology, sleep medicine, and agricultural monitoring. She has made significant contributions to head-related transfer function (HRTF) processing, real-time audio enhancement algorithms, and innovative monitoring systems that utilize acoustic signals for various applications. Analysis of Dr. Bruschi's recent publications reveals a strong trajectory in developing practical audio processing solutions with real-world applications. Her work shows increasing integration of machine learning techniques with traditional signal processing approaches, particularly in areas like driver monitoring systems, snoring detection and cancellation, and spatial audio rendering. A notable trend is her focus on creating lightweight, real-time implementations suitable for embedded systems and practical deployment scenarios, while maintaining high performance standards. Her research consistently demonstrates interdisciplinary collaboration, connecting audio engineering with fields as diverse as automotive safety, sleep medicine, and agricultural technology. Dr. Bruschi actively contributes to advancing audio engineering through her research on equalization techniques, noise reduction systems, and immersive audio technologies. Her work on pulse compression techniques for hearing aid distortion measurement represents an important contribution to audiological assessment methodologies. Her publication record demonstrates consistent scholarly output with increasing impact across multiple application domains, reflecting her ability to translate theoretical signal processing concepts into practical engineering solutions.

• Remote Sensing
• Bidirectional Reflectance
• Image Processing
• +3 more

Craig Coburn is a Full Professor in the Department of Geography and Environment at the University of Lethbridge, where he has served since 2002 with promotions to Associate Professor in 2009 and Full Professor in 2019. His research centers on remote sensing physics, specializing in bidirectional reflectance properties and the development of low-cost remote sensing instrumentation for environmental monitoring and satellite calibration. Dr. Coburn's academic foundation includes: B.Sc. (Honours) in Geography from the University of Saskatchewan (1994) M.Sc. in Geography from the University of Alberta (1996) Ph.D. in Geography/Remote Sensing from Simon Fraser University (2002) His work spans instrument design to data processing algorithms, with emphasis on surface bidirectional reflectance. He pioneered world-leading goniometers and low-cost camera systems deployed via aircraft, UAVs, and high-altitude balloons for agricultural monitoring, biological system analysis, and global satellite validation. His research bridges theoretical physics with practical environmental applications. Analysis of his 2017-2021 publications reveals sustained focus on radiometric calibration, BRDF characterization, and sensor development. Key trends include interdisciplinary collaborations in atmospheric science (airborne metals), ecology (riparian systems), and soil science (erosion detection), alongside growing emphasis on UAV platforms and low-cost sensor validation for democratizing remote sensing. No scientific awards were specified in the source material. Dr. Coburn holds Principal Investigator status for the Prairie Farm Rehabilitation Administration-funded cattle wintering sites project ($45,000) and contributes as Co-Investigator to Alberta Ingenuity Centre for Water Research initiatives totaling $568,000. His grant portfolio spans riparian ecology, watershed analysis, and historical projects including National Land and Water Information System (Agriculture Canada) and Mountain Pine Beetle monitoring. His laboratory innovations include robotic goniometers for surface reflectance measurement and thermal imaging systems deployed globally for satellite calibration, supporting both research objectives and hands-on student training in remote sensing physics.

Gerald UrbanView profile

Professor

• Biomedical Microtechnology
• Sensorics
• Microsystem Technology
• +7 more

Prof. Dr. Gerald Urban is a distinguished Professor at the Institute for Microsystems Technology (IMTEK) within the Faculty of Engineering at the University of Freiburg, Germany. With over three decades of academic and research experience, he has established himself as a leading expert in biomedical microtechnology and sensor systems. His career spans prestigious institutions including the Vienna University of Technology and collaborations with major research centers worldwide. His educational journey includes: 1973: Graduated from Sigmund Freud Gymnasium in Vienna 1979: Completed studies in Technical Physics at Vienna University of Technology 1985: Earned Doctorate (Dr.-Ing.) with distinction (Summa cum Laude) from Vienna University of Technology 1994: Completed habilitation in Sensorics Prof. Urban's research focuses on the development and application of miniaturized integrated sensors for clinical and industrial applications. His work bridges the gap between fundamental materials science and practical medical devices, with particular emphasis on biomedical microtechnology , electrochemical biosensors , and organ-on-chip systems . His team has pioneered innovations in point-of-care diagnostics, therapeutic drug monitoring, and micro energy harvesting technologies. The research group maintains strong collaborations with clinical partners to ensure translational impact of their technological developments. Analysis of Prof. Urban's recent publications reveals a clear trajectory toward increasingly sophisticated multiplexed sensing platforms that integrate CRISPR-based diagnostics with electrochemical detection systems. His work demonstrates growing emphasis on point-of-care applications, with particular focus on making complex diagnostic capabilities accessible outside traditional laboratory settings. The integration of additive manufacturing techniques with sensor technology represents another significant trend in his recent work, enabling customized microreactor and organ-on-chip platforms. Among his notable scientific achievements: Stefan Schuy Prize for Biomedical Engineering (1990) AVL-List Prize (1993) Best Poster at Eurosensors (1993) Hoechst-Price (1994) Corresponding member of the Austrian Academy of Sciences (2010) EAMBES-Fellow (2018) Prof. Urban has successfully secured substantial research funding throughout his career, with accumulated third-party funding reaching approximately 5 million euros between 1986-1995. He has established multiple spin-off companies including Otto Sensorenfabrikationsgesellschaft (1985), Biosensor GnbR (1994), and Jobst Technologies GmbH (2002), demonstrating his commitment to translating research into practical applications. His leadership extends to major research initiatives including the excellence initiative "µMAT" and the graduate school "PolyMIC". At the University of Freiburg, Prof. Urban leads a vibrant research group within the Institute for Microsystems Technology, which forms part of the larger BrainLinks-BrainTools and BIOSS research clusters. His laboratory maintains state-of-the-art facilities for microsensor fabrication, including cleanroom access through the WebFab service center. The research environment benefits from strong connections with the Freiburg Material Research Center (FMF) and the Freiburg Institute for Advanced Studies (FRIAS), where he served as an Internal Fellow (2008-2010).

Atul JainView profile

Professor

• Climate Change
• Biogeochemical Cycles
• Land Use and Land Cover Changes
• +8 more

Professor Atul Jain is a distinguished faculty member in the Department of Climate, Meteorology & Atmospheric Sciences at the University of Illinois at Urbana-Champaign. He leads a prominent research group focused on understanding Earth's climate system through advanced computational modeling and has established himself as one of the world's leading climate scientists with extensive contributions to IPCC assessments. Dr. Jain earned his Ph.D. in Atmospheric Sciences from the Indian Institute of Technology. His educational background provided the foundation for his pioneering work in climate modeling and biogeochemical cycles. Professor Jain's research centers on climate interactions with land physical processes (hydrology and energy), biological processes (carbon and nitrogen), and land use/cover changes including agricultural intensification. His lab developed the Integrated Science Assessment Model (ISAM), a global model-data integration framework that combines satellite and ground-based observations to examine biogeochemical cycles, water, and energy fluxes. His recent work has focused on the impact of land use changes on biogeophysics and biogeochemistry, permafrost carbon storage, methane and nitrous oxide emissions, climate impacts on agricultural production, and spatially explicit greenhouse gas emissions from food systems. His research has gained significant international attention, particularly his 2021 study on food production emissions which was widely covered by major media outlets including The Guardian, The New York Times, and Scientific American. Dr. Jain has received numerous prestigious awards including the National Science Foundation's Faculty Early Career Development Award. He has been consistently recognized as a "Most Highly Cited" Researcher by Clarivate Analytics One of the "World's Top Climate Scientists" by Reuters Fellow of the American Association for the Advancement of Science (AAAS) Fellow of the American Geophysical Union (AGU) Recipient of the Distinguished Alumni Award from IIT Delhi (2024) Professor Jain has mentored numerous graduate students and postdoctoral researchers who have gone on to successful careers in academia and research institutions. His research group has secured substantial funding from NSF, NASA, and other agencies to support their work on climate change modeling and assessment. He has served as a lead and contributing author for major IPCC assessments and has been instrumental in shaping climate science policy. His research group maintains the ISAM modeling framework and has developed extensive datasets on historical land-cover change and land-use conversions. The group actively collaborates with international researchers and institutions to advance understanding of Earth's climate system and its response to human activities.

Pavel V. TsvetkovView profile

Professor

• Nuclear Engineering
• System Analysis & Optimization Methods
• Complex Engineered Systems
• +6 more

Professor Pavel V. Tsvetkov is a faculty member at Texas A&M University , holding the rank of Professor of Nuclear Engineering and serving as the Director of the Graduate Program in Nuclear Engineering . He is also an Affiliated Faculty member of the Multidisciplinary Engineering program . His office is located in the AIEN M205B building, and he can be contacted at tsvetkov@tamu.edu . Educational Background: Ph.D. in Nuclear Engineering, Texas A&M University (2002) M.S. in Theoretical & Experimental Reactor Physics, Moscow State Engineering Physics Institute (1995) Research Interests: Professor Tsvetkov's research spans a wide range of advanced nuclear engineering topics. His primary focus includes system analysis and optimization methods , complex engineered systems , and symbiotic nuclear energy systems . He is deeply involved in waste minimization and sustainability , particularly through the development of high-temperature gas-cooled reactors (HTGRs) and molten salt reactors (MSRs) . His work also explores direct nuclear energy conversion systems and the integration of AI and deep learning into nuclear reactor control and monitoring systems. Research Trends in Publications: Over the past few years, Professor Tsvetkov has published extensively on the application of machine learning and deep learning in nuclear engineering. His recent works focus on autonomous reactor control , reactor dynamics simulation , and remote monitoring systems using satellite data and AI. He has also contributed to the design and analysis of microreactors for space applications and molten salt reactor dynamics . Scientific Awards: George Armistead, Jr ’23 Faculty Excellence Teaching Award Advising and Grants: As Director of the Graduate Program in Nuclear Engineering, Professor Tsvetkov plays a key role in mentoring and advising graduate students. While specific student names are not listed, his leadership in the program and extensive research output suggest active involvement in student research and training. Labs and Teams: Professor Tsvetkov is associated with the Nuclear Power Engineering group at Texas A&M University, contributing to both academic and applied research in nuclear systems design and safety.

• Remote Sensing
• Atmospheric Physics
• Meteorology
• +4 more

Alessandro Battaglia is an Associate Professor at the Department of Environmental, Land and Infrastructure Engineering (DIATI) at the Polytechnic University of Turin. He specializes in microwave remote sensing of clouds and precipitation, with expertise in Doppler radar, cloud and snow microphysics, and microwave radiometer technology. His research spans atmospheric physics, meteorology, and climate science with applications in Earth observation from space. Dr. Battaglia's research interests focus on remote sensing of atmospheric phenomena, particularly using advanced radar technologies. His work encompasses cloud microphysics, precipitation measurement, and wind observation from space. He is particularly known for his contributions to the development of spaceborne Doppler radar systems for measuring in-cloud winds, which represents a significant advancement in atmospheric observation capabilities. His research bridges engineering, physics, and meteorology to improve our understanding of Earth's atmospheric processes and climate systems. His recent publications demonstrate a strong focus on the WIVERN (Wind Velocity Radar Nephoscope) mission, with research spanning cloud microphysics, snowfall measurement, wind field reconstruction, and innovative radar signal processing techniques. These works highlight the interdisciplinary nature of his research, connecting atmospheric science, engineering, and computational methods to advance space-based Earth observation capabilities. NASA Group Achievement Award (2015) Fellow of the National Center for Earth Observation, UK (2014-present) Dr. Battaglia actively mentors several PhD students including Marco Coppola, Francesco Manconi, Riccardo Rabino, Susmitha Sasikumar, Aida Galfione, and Paolo Martire across Civil and Environmental Engineering and Aerospace Engineering programs. He serves as Principal Investigator for multiple research projects funded by ESA (3 projects), UK-NERC (1 project), UK-NCEO (1 project), and the US Department of Energy (1 project). His current research focuses on the WIVERN mission, EarthCARE mission, and NASA's INCUS mission, with particular emphasis on developing algorithms for spaceborne Doppler radar systems. He leads research teams working on cutting-edge remote sensing technologies for atmospheric observation, with particular focus on developing the next generation of spaceborne instruments capable of measuring in-cloud winds—a capability that has been missing from Earth observation systems until now.

• Environmental Policy
• Conservation Biology
• Human-Wildlife Conflict
• +7 more

Camilla Sandström is a Professor at Umeå University's Department of Political Science, Faculty of Social Sciences. Her research focuses on environmental policy, conservation, and governance, with a particular emphasis on human-wildlife conflict, forest governance, and adaptive management. She leads projects exploring biosphere reserves, climate policy equity, and the application of machine learning in environmental analysis. Research Interests: Conservation biology, sustainable development, political ecology, and the governance of socio-ecological systems. Key Projects: Contested Spaces: Bridging Protection and Development in a Globalizing World (VR-funded). GOVFORBIO: Governance Pathways for Sustainable Forest Use (Formas-funded). Her work bridges theory and practice, contributing to international guidelines like the IUCN's Human-Wildlife Conflict & Coexistence Framework. She collaborates with interdisciplinary teams to address challenges in multi-use landscapes, such as lion conservation in Tanzania and forest conflicts in Sweden. Publications highlight innovative methodologies, including machine learning for media analysis and spatial ecology for wildlife connectivity. She emphasizes participatory approaches to ensure equitable policy outcomes in climate and biodiversity crises.

David R. ThemensView profile

Associate Professor

• Space weather
• Ionospheric modeling
• Radio communications
• +7 more

Dr. David R. Themens is an Associate Professor in Space Environment within the Space Environment and Radio Engineering (SERENE) group in the School of Engineering at the University of Birmingham. He specializes in modeling and mitigating the impacts of space weather on radio communications and navigation systems, with a particular focus on the ionosphere's effects on these technologies. Dr. Themens earned his academic credentials from Canadian institutions: BSc (Hons) in Physics from the University of New Brunswick (2011) MSc in Atmospheric and Oceanic Science from McGill University (2013) PhD in Physics from the University of New Brunswick (2018) His research primarily focuses on four interconnected areas: ionospheric modeling, ionospheric physics, measurement techniques, and radio propagation. Dr. Themens is particularly interested in the interaction between the ionosphere and the atmosphere, specifically how lower atmospheric forcing drives variability within the ionosphere and the interactions between the ionosphere and thermosphere. He is the principal developer of the Empirical Canadian High Arctic Ionospheric Model (E-CHAIM) , a high-latitude alternative to the International Reference Ionosphere (IRI) used for HF/UHF signal propagation modeling. His work includes exploring synergistic properties of different earth observation instruments, measurement technique development, data assimilation, and empirical modeling. Analysis of Dr. Themens' recent publication record reveals a strong emphasis on space weather phenomena, ionospheric modeling, and radio propagation. His work spans from fundamental ionospheric physics to practical applications in navigation and communication systems. Key themes include the development and validation of ionospheric models, analysis of space weather events (including the May 2024 geomagnetic superstorm), and the impact of solar phenomena on Earth's upper atmosphere. His research increasingly incorporates advanced data assimilation techniques and leverages multiple observational platforms including radar systems, GNSS networks, and satellite measurements. Dr. Themens holds significant leadership positions in the international space science community: Co-Chair of IAG-GGOS Joint Study Group on Understanding Ionospheric and Plasmaspheric Processes (2023-present) Chair of URSI Data Assimilation Working Group (2023-present) Co-Chair of IAGA Geospace Data Assimilation Working Group (2023-2027) URSI Commission G Early Career Representative (2023-2029) Chair of Canadian Association of Physicists Division of Atmospheric and Space Physics (2022-present) Dr. Themens actively mentors graduate students and is 'always looking for new Ph.D. students interested in the ionosphere, data assimilation, and radio propagation.' His research has been supported through contracts with Defence Research and Development Canada (DRDC) and various international collaborations. He leads the Canadian High Arctic Ionospheric Models (CHAIMs) project, which builds upon his doctoral work developing the E-CHAIM model. At the University of Birmingham, he teaches courses in Space System Engineering and Design, Space Mission Analysis and Design, and Space Environment.

• Integrated optics
• Silica and diamond-based photonics
• Optical sensing networks
• +5 more

Professor Francois Ladouceur is a distinguished academic at the University of New South Wales (UNSW), where he serves in the Faculty of Engineering, specifically within the School of Electrical Engineering and Telecommunications. With a career spanning over three decades, Professor Ladouceur has established himself as a leading expert in photonics, optical engineering, and neural interfaces. His educational background includes: Ph.D. in Optical Communication from The Australian National University (1992) Masters in Solid State Physics from École Polytechnique, Montréal, Canada (1987) B. Eng. in Engineering Physics from École Polytechnique, Montréal, Canada (1985) Professor Ladouceur's research spans several cutting-edge areas in photonics and optical engineering. His work focuses on integrated optics, silica and diamond-based photonics, optical sensing networks, and photonics-based brain/machine interfaces. He has made significant contributions to both fundamental waveguide theory and applied integrated optics, introducing innovative approaches to waveguide path design that have improved the size and ease of design of integrated optics devices. His recent work has particularly emphasized the development of liquid crystal-based optical electrodes for neural interfacing and brain/machine interfaces. Analysis of his recent publications reveals a strong trend toward biomedical applications of photonics, particularly in neural interfaces and optrode technology. His research has evolved from fundamental optical engineering to practical applications in healthcare, with a focus on developing novel optical sensing technologies for electrophysiological measurements. The interdisciplinary nature of his work combines optical engineering, materials science, and biomedical engineering to create innovative solutions for neural interfacing. Professor Ladouceur has secured significant research funding through multiple prestigious grants: ARC Discovery (DP200102825): "A Multi-Optrode Array for Closed-Loop Bionics" ($495k) NHMRC Ideas Grant (APP2002282): "Re-engineering the Future of Electrophysiological Measurements" ($732k) ARC Discovery 2016 (DP160104625): "Design of an optrode for next generation brain-machine interfaces" ($457.6k) CRC Project 2016: "High performance optical telemetry system for ocean monitoring" ($1,014,320) US Office of Naval Research: "Multi-Optrode Array for Neural Interfacing" (US$360,000) Professor Ladouceur has extensive experience in translating research into practical applications, having founded Bandwidth Foundry Pty Ltd after raising approximately $20 million from private and public sources. His work bridges the gap between academic research and commercial applications, with a particular focus on developing novel hybrid opto-electronics devices from initial design through to commercial realization. He collaborates extensively with researchers across disciplines, particularly with Professor Nigel Lovell and other colleagues in biomedical engineering. His laboratory focuses on developing optical technologies for neural interfaces, with current projects including multi-optrode arrays for brain-machine interfaces, optical telemetry systems for various sensing applications, and diamond-based photonic structures. The research group maintains strong connections with industry partners and defense organizations, applying photonics solutions to real-world problems in healthcare, mining safety, and ocean monitoring.

Jiaxuan LiView profile

Assistant Professor

• Seismology
• Distributed Acoustic Sensing
• Earthquake Rupture Dynamics
• +7 more

Jiaxuan Li is an Assistant Professor of Geophysics in the Department of Earth and Atmospheric Sciences at the University of Houston's College of Natural Sciences and Mathematics. His research focuses on developing fiber-optic sensing technologies for seismic monitoring across diverse geological environments including volcanic, crustal, and glacial settings. Dr. Li's educational background includes a Ph.D. in Geophysics from the University of Houston (2015-2020) and a B.S. in Geophysics from Peking University (2011-2015). He previously held a postdoctoral position at Caltech Seismolab under Prof. Zhongwen Zhan. His research program centers on distributed acoustic sensing (DAS) applications, with major contributions in volcanic eruption forecasting through minute-scale magma migration imaging, earthquake rupture dynamics via high-frequency fault asperity analysis, and subsurface characterization for carbon sequestration and geothermal energy. Recent work demonstrates DAS capabilities as dense geodetic arrays for real-time volcanic monitoring systems deployed in Iceland through collaborations with the Icelandic Met Office and Reykjavik University. Analysis of Dr. Li's publication record reveals a strong emphasis on operationalizing fiber-optic networks for geophysical monitoring, with significant advancements in eruption early warning systems, earthquake source characterization, and subsurface imaging techniques. His work bridges fundamental seismological research with practical hazard mitigation applications. Dr. Li actively mentors graduate students and recently welcomed postdoc Dr. Tianfan Yan to his research team. His lab operates real-time DAS streaming systems for volcanic eruption monitoring in Iceland, developed through international collaborations involving the University of Houston, Caltech, Ljósleiðarann, and Reykjavik University. Current research directions include expanding DAS applications for carbon sequestration verification and deep geothermal reservoir characterization.

Susan T. LepriView profile

Professor

• Heliospheric Physics
• Solar Wind
• Coronal Mass Ejections
• +3 more

Susan T. Lepri is a Professor in the Department of Climate and Space Sciences and Engineering at the University of Michigan's College of Engineering, where she serves as Director of the Space Physics Research Laboratory. Her work focuses on heliospheric physics, utilizing spacecraft data from missions like ACE, WIND, and Solar Orbiter to investigate solar wind origins and coronal mass ejections. Her educational background includes: Ph.D. in Atmospheric and Space Sciences, University of Michigan M.S. in Atmospheric and Space Sciences, University of Michigan B.S. in Physics, Astronomy and Astrophysics, University of Michigan Lepri's research centers on tracing charged particles in the heliosphere using heavy ion measurements to study solar wind sources, coronal mass ejection physics, and particle acceleration mechanisms. She develops space-based ion mass spectrometers for missions including the European Space Agency's Solar Orbiter (Heavy Ion Sensor) and the Interstellar Mapping and Acceleration Probe. Her work integrates statistical analysis of solar wind composition with magnetohydrodynamic model validation to unravel plasma behavior in space environments. Analysis of her 15 most recent publications (2015-2017) reveals consistent focus on solar wind composition dynamics, particularly charge state evolution and elemental fractionation. Key themes include magnetic reconnection signatures in slow solar wind formation, anomalous composition in depleted interplanetary coronal mass ejections, and solar wind charge exchange contributions to X-ray backgrounds. Her instrumentation work bridges observational gaps in inner heliospheric measurements. Major recognitions include: 2018 Claudia Joan Alexander Trailblazer Award (University of Michigan) 2012-2013 Kenneth M. Reese Outstanding Research Scientist Award 2008 JGR-Space Physics Excellence in Refereeing Citation NASA Graduate Fellowship (2001-2003) Lepri actively mentors through outreach programs including K-12 initiatives with the Michigan Space Grant Consortium and Detroit Area Pre-College Engineering Program. She has coordinated Rochester Adams High School STEAM fairs and elementary science outreach while developing educational content like MConnex videos. Her research is supported by NASA grants enabling instrument development for Solar Orbiter and IMAP missions, with collaborations spanning international space agencies and academic institutions. As Director of the Space Physics Research Laboratory, she leads teams developing next-generation space instrumentation, particularly ion mass spectrometers for heliospheric exploration. Current projects include the Heavy Ion Sensor for Solar Orbiter (measuring inner heliospheric composition) and innovative sensors for IMAP, advancing capabilities to trace solar wind sources and particle acceleration mechanisms.