Find Academic Supervisors

Anne SheehanView profile

Professor

• Earthquake Seismology
• Tsunami Studies
• Active Tectonics
• +5 more

Anne Sheehan is Professor of Geological Sciences at the University of Colorado Boulder and a Fellow of the Cooperative Institute for Research in Environmental Sciences (CIRES). Her research integrates seismology, geodesy and electromagnetics to investigate earthquake sources, subduction-zone dynamics, tsunami generation and human-induced seismicity. Education Ph.D., Massachusetts Institute of Technology, 1991 B.S., University of Kansas, 1984 Research Interests Sheehan’s group pursues field and computational studies of earthquake seismology , tsunami processes , active tectonics and geophysical imaging . Major themes include: Deep structure and tectonics of mountain belts (Rockies, Himalaya, Southern Alps) Subduction-zone seismicity, slow-slip events and tsunami hazards Induced seismicity linked to wastewater injection in Colorado Novel seafloor instrumentation (ocean-bottom seismometers, pressure gauges) and satellite-based tsunami detection from ships Advanced computational techniques such as data assimilation, interferometry and machine-learning phase detection Scientific Awards Erasmus Haworth Distinguished Alumni Award, University of Kansas (2009) EarthScope Distinguished Lecturer (2013) College Scholar Award, University of Colorado (2014) New Zealand Geophysics Prize (2016, 2019) President, Seismology Section, American Geophysical Union (2020) Leadership, Grants & Teams Sheehan is Principal Investigator on major NSF experiments such as the Alaska Amphibious Community Seismic Experiment (AACSE) and the Hikurangi Ocean Bottom Investigation of Tremor and Slow Slip (HOBITSS) . She collaborates closely with the hydrogeology group of Prof. Shemin Ge and geodesist Prof. Kristy Tiampo, and mentors graduate students and post-docs in the Sheehan Geophysics Group . The group maintains real-time seismic data access for Colorado at earthquake.colorado.edu and hosts weekly seminars and reading groups.

Dennis AkosView profile

Professor

• RF Signal Processing
• RF Interference
• Integrated Navigation Systems
• +3 more

Dennis Akos is a Professor in the Department of Aerospace Engineering Sciences at the University of Colorado Boulder. He is affiliated with the Research and Engineering Center for Unmanned Vehicles (RECUV) and the Colorado Center for Astrodynamics Research (CCAR). His research focuses on RF signal processing, RF interference mitigation, integrated navigation systems, and VHF modulation. He holds a Ph.D. in Electrical and Computer Engineering from Ohio University (1997), with earlier degrees from the same institution. His professional experience includes roles at Stanford University’s GPS Laboratory and the Lulea Institute of Technology. He has received notable awards such as the Institute of Navigation Fellow (2022), Thurlow Award (2009), and multiple best paper awards. His work emphasizes GNSS security, spoofing detection, and low-cost receiver solutions. Recent articles highlight advancements in GNSS RFI localization, Android device navigation, and software-defined radio applications. His lab explores innovations in space situational awareness, multi-sensor PVT solutions, and interference-resistant systems. Collaborative projects leverage crowdsourced smartphone data to enhance GNSS reliability. Awards: Fellow of the Institute of Navigation, Thurlow Award, Samuel M. Burka Award, and FAA Excellence in Aviation Research. Grants/Advising: Advising on GNSS security and Android-based navigation systems; involved in federally funded research on interference mitigation and satellite clock stability. Labs/Teams: Leads research at RECUV and CCAR, focusing on unmanned systems and astrodynamics challenges.

Mingfeng WangView profile

Senior Lecturer

• Continuum Robotics
• Legged Robotics
• Soft Robotics
• +5 more

Dr. Mingfeng Wang is a Senior Lecturer in Robotics and Autonomous Systems at Brunel University London, affiliated with the Department of Mechanical and Aerospace Engineering within the College of Engineering, Design and Physical Sciences. His research focuses on specialized robotic systems including continuum, legged, soft, precision farming, and miniaturized robots. Chartered Engineer (CEng) with Engineering Council UK Fellow of the Higher Education Academy (FHEA) Member of IEEE, IEEE-RAS, IMechE, and IFToMM Editorial roles: Associate Editor of International Journal of Advanced Robotic Systems (JCR-Q3); Associate Editor of Frontiers in Robotics and AI (JCR-Q2); Editor of Information Processing in Agriculture (JCR-Q1), Biomimetic Intelligence and Robotics (JCR-Q1), and STEM Education Research expertise includes: Continuum Robotics : Design of extra-slender continuum robots (diameter-to-length ratio Legged Robotics : Parallel mechanism-based biped and hexapod robots for extreme environments Miniaturized Robotics : Active locomotion and drug delivery in capsule endoscopes Soft Robotics : Compliant end-effectors and bio-inspired designs Precision Farming : Laser weeding systems and agricultural automation Key scientific awards: BRIEF award (2022) TAROS Best Paper Post Nomination (2022) IFToMM Asian-MMS Best Paper Award (2014) Recent publications focus on: Cochlear implant surgery robotics Passive compliance in train fluid servicing Snake-biomimetic sealing surfaces Parallel kinematic manipulators Capsule endoscope image enhancement Professional services include conference organization (TAROS 2023/2024 Steering Committee; TAROS 2024 Programme Chair) and journal refereeing for IEEE-ASME Transactions on Mechatronics and Scientific Reports.

• Crustal deformation
• GPS/Geodesy
• active plate boundary processes
• +2 more

Laura Wallace is a Research Professor at the Institute for Geophysics, Jackson School of Geosciences, The University of Texas at Austin. Her research focuses on crustal deformation, geodesy (including GPS and InSAR), and active tectonic processes at subduction zones, particularly the Hikurangi Subduction Margin in New Zealand. She leads studies on slow slip events, fault mechanics, and geohazard modeling, contributing to national seismic and tsunami hazard assessments. Her work integrates geodetic data (GNSS, seafloor pressure sensors) with seismic and geological observations to unravel deformation patterns and fault behaviors. She collaborates on international initiatives like the International Ocean Discovery Program (e.g., Expedition 375) and has advanced understanding of subduction zone dynamics, including how sediment properties and fluid pressures influence fault slip. Key contributions include developing strain rate models for New Zealand’s national seismic hazard framework and analyzing the 2016 Kaikōura earthquake’s impact on tectonic systems. Her research bridges field observations, laboratory experiments, and computational modeling to address critical questions in tectonics and geohazard mitigation. Research Group: Institute for Geophysics Expertise: Subduction Zone Geodynamics, Slow Slip Events, Geohazard Assessment Fieldwork: Hikurangi Margin, Nankai Trough, and Papua New Guinea

Kyle O'KeefeView profile

Professor

• Global Navigation Satellite Systems (GNSS)
• Indoor Positioning and Navigation
• Ultra-wideband Ranging
• +6 more

Kyle O'Keefe is a Professor in the Department of Geomatics Engineering at the University of Calgary's Schulich School of Engineering. He holds dual B.Sc. degrees in Geomatics Engineering (University of Calgary, 2000) and Honours Physics (University of British Columbia, 1997), and a Ph.D. in Geomatics Engineering (University of Calgary, 2004). He is a Professional Engineer (P.Eng.) registered with the Association of Professional Engineers and Geoscientists of Alberta since 2005. His research focuses on positioning and navigation technologies, including Global Navigation Satellite Systems (GNSS) advancements Ultra-wideband (UWB) ranging for vehicle/pedestrian navigation Indoor positioning using wireless signals Wearable sensor integration for biomechanics and navigation GNSS spoofing detection and cybersecurity Notable projects include: Development of UWB-augmented GNSS for RTK surveying (2007–present) Wearable sensor systems for rowing/kayaking motion analysis (2017–present) CanX-2 nanosatellite GPS receiver operations (2008) Igliniit project with Inuit hunters for Arctic environmental monitoring (2006–2009) Multi-constellation GNSS evaluation across 20+ years He has received prestigious awards including the Michael Richey Medal (2011) and multiple Best Paper Awards at IPIN and ION conferences. His teaching includes courses like Advanced GNSS Theory and Wireless Location. Active in professional organizations, he co-edits special journal issues and advises industry on emerging navigation technologies.

Malcolm MacdonaldView profile

Professor

• Space Technology
• Astrodynamics
• Networked Systems
• +3 more

Eur Ing Malcolm Macdonald is a Professor of Electronic and Electrical Engineering at the University of Strathclyde. He serves as Director of the Applied Space Technology Laboratory (ApSTL) and the Centre for Signal and Image Processing (CeSIP). Additionally, he holds Visiting Professor roles at University College Dublin's Centre for Space Research and is Vice-Chair of the UK Space Agency's Space Technology Advisory Committee. His expertise spans space mission design, networked systems, and sustainable space technologies, with a focus on democratizing space data accessibility. He contributed to Scotland's first CubeSat and led initiatives like the Scottish Centre of Excellence in Satellite Applications (SoXSA). Research interests include astrodynamics, swarm engineering, and Earth observation, leveraging systems engineering to address global challenges. Notable awards include the 2020 Copernicus Masters Transport Challenge and the 2024 CompleNet Best Poster Award. He advises on over 80 research projects, focusing on satellite constellations, offshore energy monitoring, and space debris mitigation. His work integrates multidisciplinary approaches, emphasizing resilience and innovation in space systems. Labs and teams include ApSTL and CeSIP, where he leads a team of researchers and postgraduate students. Equipment resources include specialized drones and control systems for experimental validation. Collaborations span academia, industry, and government, driving advancements in space technology and policy.

• GNSS Positioning Error Estimation
• Machine Learning Interpretability
• Algorithmic Fairness
• +4 more

Alejandro Kuratomi is an Assistant Professor in Data Science at the Department of Computer and Systems Sciences (DSV), Faculty of Social Sciences, Stockholm University. His academic journey includes a Ph.D. in Machine Learning (2024), M.Sc. in Engineering Design: Mechatronics (2019), and dual B.Sc. degrees in Industrial and Mechanical Engineering (2014). Ph.D., Machine Learning – DSV, Stockholm University M.Sc., Mechatronics – KTH Royal Institute of Technology B.Sc., Industrial Engineering – Universidad de Los Andes B.Sc., Mechanical Engineering – Universidad de Los Andes Kuratomi’s research focuses on Machine Learning Interpretability , Algorithmic Fairness , and Multivariate Time Series Classification , with applications in GNSS error estimation and healthcare decision-making. He develops interpretable models like CRITS and ORANGE to address technical and ethical challenges in AI. His recent work explores Transformer/LLM interpretability , mechanistic explanations , and integer-justified counterfactuals . While no awards or students are mentioned, his publications highlight interdisciplinary efforts combining computer science, ethics, and engineering.

Yichuang SunView profile

Professor

• Wireless Communications
• 5G/6G Technologies
• RF Circuits and Systems
• +7 more

Yichuang Sun is a Professor of Communications and Electronics at the University of Hertfordshire, leading the Communications and Intelligent Systems Research Group and the Electrical and Electronic Engineering Department. He holds a PhD from the University of York (1996) and has over 450 peer-reviewed publications, 5 authored books, and 40+ supervised PhD students. His research focuses on wireless communications (5G/6G, RIS-aided systems), RF/microwave circuits, neuromorphic computing, and machine learning applications. He serves as Editor or Guest Editor for 12+ IEEE/IET journals and chairs technical committees for IEEE conferences. Notably ranked in the World's Top 2% Scientists since 2019, he also advises global institutions like Oxford and the Royal Academy of Engineering. Education: PhD in Electronics, University of York, UK (1996) Research Interests: Wireless/Mobile Communications and Networks RF and Microelectronic Circuits Neuromorphic Computing and Machine Learning Memristor-based Systems Secure and Energy-Efficient Communications Grants & Projects (selected): Advanced mmWave MIMO 4D Radar for Traffic Detection (2024–2027) Wireless Power Transfer for Implantable Medical Devices (2023–2025) RFID System for Sample Management (2021–present) Labs/Teams: Leads the Communications and Intelligent Systems Research Group, collaborating on 6G, neuromorphic hardware, and IoT systems.

Jihye ParkView profile

Associate Professor

• Remote Sensing
• Geodesy
• Geophysics
• +3 more

Jihye Park is an Associate Professor in the Department of Civil and Construction Engineering at Oregon State University's College of Engineering. She specializes in GNSS (Global Navigation Satellite System) positioning/navigation and remote sensing applications, focusing on enhancing system performance in harsh environments and leveraging GNSS for atmospheric monitoring. Her research includes detecting ionospheric disturbances caused by earthquakes, volcanic eruptions, and artificial explosions, as well as developing algorithms for real-time anomaly detection and navigation system improvements. Dr. Park holds a Ph.D. in Geodetic Science and Surveying from The Ohio State University (2012), an M.S. in Geodetic Science and Surveying from the same institution (2010), and prior degrees in Geoinformatics from The University of Seoul (B.S. 2004, M.S. 2006). Her research interests span GNSS remote sensing applications such as monitoring ionospheric anomalies, hurricane-induced rainfall trajectories, and coastal hazards. She also explores GNSS-Reflectometry (GNSS-R) for sea level changes, storm surge monitoring, and climate-related phenomena. Her work emphasizes real-time data processing, machine learning integration, and interdisciplinary applications in disaster response and geophysical monitoring. Dr. Park has contributed to advancements in GNSS accuracy through projects like JPL's GUARDIAN system and studies on the Galileo High Accuracy Service. Her recent work highlights automated detection systems and deep learning approaches for TID (Traveling Ionospheric Disturbance) identification, reflecting her commitment to bridging geomatics with environmental and disaster resilience challenges.

• Geodesy
• Navigation Technologies
• Earth Observation
• +5 more

Maaria Nordman is an Assistant Professor at Aalto University's School of Built Environment , specializing in geodesy and its applications to navigation technologies, earth observation, and climate change impacts. Her expertise spans GNSS data accuracy, coastal habitat vulnerability, and geodynamic modeling. Email: maaria.nordman@aalto.fi Phone: +358503533852 Her research combines geodetic techniques with interdisciplinary approaches to address: Non-tidal atmospheric loading corrections in GNSS analysis Coastal adaptation to sea level rise 3D deformation monitoring through geospatial time series Smartphone positioning accuracy enhancements Height system unification via geodetic SAR Recent publications highlight her work in geodynamics and climate science, particularly focusing on the Baltic Sea region. While no formal awards are listed, her collaborative publications demonstrate significant contributions to geodetic research methodologies and coastal resilience studies.

Yaguang ZhangView profile

Assistant Clinical Professor

• Data Science
• Digital Agriculture
• UAV-Aided Wireless Communication Systems
• +4 more

Dr. Yaguang Zhang is a Clinical Assistant Professor at Purdue University, jointly appointed in the Department of Agricultural & Biological Engineering (ABE) and the Department of Agricultural Sciences Education & Communication (ASEC) . Holding a Ph.D. in Electrical and Computer Engineering from Purdue (2021), he specializes in data science , digital agriculture , and UAV-aided wireless communication systems , with applications in intelligent transportation, proactive road maintenance, and engineering education. Education: Ph.D. and M.Sc. in Electrical and Computer Engineering (Purdue), B.Eng. in Communication Engineering (Tianjin University) Research Interests span cutting-edge domains including: Digital Agriculture: GPS-based field shape generation, product traceability trees, and automated metadata collection for agricultural operations Wireless Communication: Millimeter-wave channel modeling, UAV relay systems, and rural network coverage optimization Smart Infrastructure: Pavement condition assessment tools, sun-shadow simulation for road treatment, and vehicle automation platforms Recent Publications emphasize scalable solutions for agricultural IoT, machine learning in crop monitoring, and interoperable data frameworks. His scientific awards include: 2024 Outstanding Engineering Teacher (Purdue) 2024 ASABE Superior Paper Award 2020 FFAR Student Poster First Prize Multiple NSF/IEEE travel supports Grants from USDA, NSF, INDOT, and industry partners (CableLabs, Nokia) fund projects like tractor autopilot development, rural 6G networks, and pavement monitoring systems. He mentors graduate students in agricultural robotics , data science , and connected vehicle research .

Wolfgang ZachariasView profile

Professor

• Geodesy
• Satellite Geodesy
• Earth System Monitoring
• +3 more

Professor Wolfgang Zacharias is the Chair of Geodesy at the Technical University of Munich (TUM), leading the Geodetic Institute. His research focuses on satellite geodesy, Earth system monitoring, and climate change studies. He holds a PhD in Geodesy from TUM and has over 20 years of experience in geodetic data analysis and remote sensing applications. Education: PhD in Geodesy, Technical University of Munich, 2003 Diploma in Geomatics Engineering, Dresden University of Technology, 1998 Research Interests: Professor Zacharias specializes in integrating satellite altimetry, GPS, and radar interferometry for monitoring Earth's dynamic processes. His work addresses climate change impacts on sea levels, crustal deformation, and coastal erosion. He collaborates with international space agencies and contributes to global geodetic reference frameworks. Publications Trends: Recent articles emphasize multi-sensor data fusion, crustal deformation modeling, and climate-related geodetic applications. Key themes include satellite laser ranging, terrestrial laser scanning, and Earth rotation parameter estimation. Awards: 2023: Bavarian Order of Merit 2021: TUM Teaching Award Grants & Labs: He leads the Geodetic Institute at TUM, overseeing projects funded by the German Research Foundation (DFG) and the European Space Agency (ESA). Active in graduate education, he advises students in geodetic engineering and Earth observation technologies.

Paul ThevenonView profile

Assistant Professor

• GNSS Signal Processing
• Navigation Systems
• Satellite Communication
• +3 more

Dr. Paul Thevenon is an Assistant Professor at ENAC (National Civil Aviation School) in Toulouse, France, since July 2013. He holds a Habilitation à Diriger les Recherches (2023) and focuses on GNSS signal processing, integrity monitoring, and hybrid sensor systems. His research integrates advanced algorithms for cycle slip detection, multipath mitigation, and hybrid navigation filters using 5G/ LTE signals. Education: Bachelor's in Electronic Engineering from École Centrale de Lille (2004) Master's in Space Telecommunications from ISAE (2007) PhD in Signal Processing from ENAC (2010) Research Themes: GNSS robustness against malicious signals (e.g., evil waveforms) Multi-receiver systems for RTK positioning enhancement Integration of non-GNSS signals (5G, LTE) for hybrid navigation Factor graph approaches for carrier phase processing Awards: 2023: Habilitation à Diriger les Recherches Technical Contributions: Developed CNN-based multipath detection systems Advanced RTK ambiguity resolution via multi-rover arrays Validated TDCP measurements in low-cost PPP-IMU filters Labs/Teams: Core member of the SIGNAV lab, specializing in signal processing and navigation systems.

Mohamed AtiaView profile

Associate Professor

• Sensor Fusion
• Autonomous Systems
• Embedded Systems
• +12 more

Mohamed Atia is an Associate Professor in the Department of Systems and Computer Engineering at Carleton University's Faculty of Engineering and Design. He conducts research in sensor fusion for autonomous systems, including robotics, autonomous vehicles, and the Internet of Things, with an emphasis on real-time embedded implementation. PhD, Electrical and Computer Engineering, Queen’s University (2013) M.Sc., Computer Systems, Ain Shams University (2006) B.S., Computer Systems, Ain Shams University (2000) His research focuses on sensor fusion , integrating data from heterogeneous sensors such as GNSS, IMU, Vision, Radar, and LiDAR under real-time constraints on embedded platforms like FPGAs and microcontrollers. He applies advanced signal processing, estimation theory, machine learning, and AI to solve challenges in state estimation, observability, fault tolerance, and concurrency management. Dr. Atia’s work has applications in intelligent vehicles, indoor navigation, mobile robotics, smart buildings, medical devices, and remote sensing . He leads a research lab focused on embedded multi-sensor systems, where students develop practical solutions for autonomous navigation and SLAM. His teaching emphasizes hands-on learning through labs and projects. He teaches undergraduate courses in computer systems, embedded systems, and signal processing, and a graduate course (SYSC 5807) on Advanced Topics in Computer Systems, specifically Sensor Fusion Systems . Scientific Awards: Alberta Innovate Association Award (2011) IEEE Excellence in PhD Research (2013) Mitacs Elevate Industrial Postdoc Award (2014) NSERC PDF Award (2015) Queen’s University Teaching Award (2016) Dr. Atia has advised graduate students such as Hamza Sadruddin and Alan Zhang , who have presented at IEEE Sensors and ION GNSS+ conferences, with Zhang winning Best Presentation. He has no listed grants in the provided text but has received prestigious fellowships. His research lab supports innovation in real-time embedded sensor fusion with links to industry and open-source tools.

• Communication and Information Theories
• Wireless Communications
• Energy-Efficient Wireless Networks
• +1 more

Dr. Nghi Tran is a Professor in the Department of Electrical and Computer Engineering at the University of Akron's College of Engineering. His research focuses on communication and information theories, wireless communications, energy-efficient wireless networks, and security. He has published over 160 papers and served as an editor for multiple IEEE journals. Education: Ph.D. in Electrical & Computer Engineering (University of Saskatchewan, 2008) Education: M.Sc. in Electrical & Computer Engineering (University of Saskatchewan, 2004) Education: B.Sc. in Electrical Engineering (Hanoi University of Technology, 2002) Dr. Tran's research spans wireless communication systems, with special emphasis on physical layer security, energy-efficient networks, full-duplex technologies, and channel coding. His work bridges theoretical foundations with practical implementations in next-generation wireless systems. His recent publications (2023-2025) demonstrate expertise in physical layer security, full-duplex antenna design, polar codes for GNSS, and machine learning applications in MIMO systems. Key trends include optimization of wireless networks, robust error correction, and cross-layer security approaches. Scientific Awards: NSERC Postdoctoral Fellowship Professional Recognition: IEEE Senior Member As an ABET coordinator for ECE and frequent journal editor, Dr. Tran contributes to academic leadership. His research has received funding from the US National Science Foundation, Office of Naval Research, Air Force Research Laboratory, and industry partners.