Find Academic Supervisors

Scott HoskingView profile

Academic

• AI for Environmental Science
• Climate Change
• Machine Learning Applications in Meteorology
• +7 more

Scott Hosking is a Senior Research Fellow at British Antarctic Survey (BAS) and The Alan Turing Institute , serving as Mission Director for Environmental Forecasting and Head of the BAS AI Lab. His work bridges AI innovation with critical climate science challenges, particularly in data-sparse polar regions. PhD in Climate Science from University of Cambridge (2005-2009) Established BAS AI Lab (2018) Co-Director of AI4ER Doctoral Training Programme (2019-2023) Research focuses on: AI-powered environmental forecasting systems Digital twin technologies for planetary monitoring Machine learning in climate modeling Sea ice and wildlife population tracking Reproducibility in geoscientific research Recent publications span weather prediction , precipitation downscaling , and extreme event analysis , with articles appearing in Nature , Nature Communications , and Geophysical Research Letters . Key projects include IceNet (Arctic sea ice forecasting) and Aardvark Weather (end-to-end AI weather prediction). Scientific recognition includes: The Laws Prize (BAS, 2017) Designation as AI for Good Exemplar (UK government, 2023) Inclusion in Nature Communications 25 most downloaded Earth science papers (2021) Secured over £25M in research funding as Principal Investigator, including projects with NERC , EPSRC , and ESA . Collaborates with institutions across Cambridge , Lund , and UiT The Arctic University .

Bruna G. PalmView profile

Lecturer

• Statistical Modeling
• Signal Processing
• Remote Sensing
• +4 more

Bruna G. Palm is a Lecturer at the Department of Mathematics and Natural Sciences, Blekinge Institute of Technology (BTH), Sweden. She holds a BA (2014) and PhD (2020) in Statistics from Brazilian institutions and has held visiting and research fellow positions at BTH and the Aeronautics Institute of Technology (ITA). Education: BA in Statistics (2014), PhD in Statistics (2020) Current Role: Lecturer at BTH Collaborations: Saab AB, Sweden Her research bridges statistical modeling with remote sensing and signal processing , focusing on SAR image analysis , change detection , and machine learning applications. She has also contributed to environmental data forecasting and educational pedagogy in STEM. Key trends include Bayesian inference , autoregressive models , and Rayleigh distribution techniques for SAR imagery. Her work on resin composite masking extends into dentistry , highlighting interdisciplinary reach. She has no listed scientific awards but maintains active profiles on LinkedIn , Google Scholar , and ORCID .

Ahmad HadaviView profile

Clinical Professor

• Metaverse
• Virtual Reality
• Augmented Reality
• +6 more

Dr. Ahmad Hadavi is a Clinical Professor in the Department of Civil and Environmental Engineering at Northwestern University's McCormick School of Engineering, serving as Deputy Director of the Master of Project Management Program. His academic credentials include a Ph.D. in Civil Engineering from Northwestern University, an MBA from the Harvard-affiliated Iran Center for Management Studies, and a B.S. in Civil Engineering from Iran University of Science and Technology. His research explores: Metaverse applications in Architecture, Engineering and Construction (AEC) Virtual/Augmented/Mixed Reality implementation Innovative construction methods and Lean principles International construction practices and productivity enhancement Advanced project control methodologies Dr. Hadavi teaches 'CIV_ENV 336: Project Scheduling' and 'CIV_ENV 435: Cost Engineering and Control'. His extensive professional service includes ABET program evaluation for civil engineering and construction management programs, ACCET accreditation panels, textbook reviews, and NSF review panels for STEM education initiatives. His publications demonstrate consistent focus on integrating emerging technologies like AI, XR, and BIM into construction workflows, with recent emphasis on metaverse applications and lean-digital synergies.

Roger D. EastmanView profile

Professor

• Computer Vision
• Robotics
• Immersive Media Design
• +3 more

Roger D. Eastman is a Professor of the Practice in the Department of Computer Science at the University of Maryland, College Park, and serves as Director of the Immersive Media Design Program. He holds a Ph.D. (1990) and B.A. (1979) in Mathematics and Computer Science from the University of Maryland and University of Missouri-Columbia, respectively. His research focuses on computer vision applications in robotics, remote sensing, and immersive media. Notable projects include work with NASA-Goddard on satellite imagery registration, NIST on robotics perception standards, and JHU on medical imaging for glaucoma diagnosis. Current efforts emphasize XR visualization for Earth science and algorithmic art. Teaching priorities include introductory computer science, non-major courses in computer art with Processing/Arduino, and graphics/HCI. He has supervised undergraduate research leading to advanced academic and industry careers in VFX/game design. Publications span image registration techniques, sensor ontology development, and XR-based scientific visualization. Collaborations include Google Scholar profiles and a Cambridge Press book on remote sensing registration.

• Remote Sensing
• Wireless Communications
• Astronomy
• +3 more

Sean Bryan is an Associate Research Professor at Arizona State University (ASU), part of the School of Earth and Space Exploration. He specializes in developing novel systems and algorithms for remote sensing, wireless communications, and astronomy. Since 2014, he has contributed to major projects such as the SPIDER balloon-borne telescope and the NASA CubeSounder mission, which aims to map atmospheric water vapor for improved weather forecasting. As the survey schedule lead for the SPHEREx IR satellite mission, he plays a key role in advancing astronomical surveys. His education includes a Ph.D. in Physics from Case Western Reserve University (2014) and a B.S. in Physics from the University of Minnesota (2006). His research focuses on cutting-edge instrumentation for cosmic microwave background (CMB) studies, including work on the TolTEC camera and the Simons Observatory. He has pioneered signal processing techniques for wireless communications and balloon-borne telescopes, with a strong emphasis on interdisciplinary applications in space exploration and Earth science. Bryan’s technical contributions span cryogenic systems, detector arrays, and data analysis pipelines. He leads teams in designing and testing advanced instruments for suborbital and orbital missions, ensuring their readiness for extreme environmental conditions. His work bridges theoretical astrophysics with practical engineering, addressing critical challenges in observational cosmology and atmospheric science.

John KershawView profile

Professor

• Forest Mensuration
• Forest Inventory Design
• Remote Sensing in Forestry
• +5 more

John Kershaw is a Professor at the University of New Brunswick (UNB), holding the position of Associate Vice President Academic (Partnerships). He teaches Advanced Mensuration, Research Methods, and coordinates the Nanjing Forest University-UNB 3+1+1 program. His research focuses on forest mensuration, inventory design, LiDAR analysis, and growth modeling, with projects spanning North America, Asia, and beyond. He co-authored the widely used Forest Mensuration (5th Edition) . Key research interests include copula applications in forestry, large-scale forest inventory , and climate change impacts on forest dynamics. He collaborates internationally, with active projects in New Brunswick, Newfoundland, Maine, Florida, Oregon, Malaysia, Taiwan, Indonesia, and India. He serves on the editorial board of Forest Ecosystems and represents UNB in the Indo-Canadian Shastri Institute. Recent publications emphasize LiDAR-driven forest analysis , big data applications , and mixed-species stand modeling . His work bridges theoretical and applied forestry, focusing on sustainable management and technology integration. Outside academia, he is an avid outdoors enthusiast, engaging in hiking, canoeing, and mountain climbing.

Hemantha HerathView profile

Professor

• Accounting Analytics
• Information Security Governance
• Financial Risk Management
• +3 more

Hemantha Herath is a Professor of Accounting at the Goodman School of Business, Brock University. His research focuses on intersections of accounting analytics, information security governance, and financial risk management. He specializes in applying advanced statistical techniques like Monte Carlo simulations and Bayesian analysis to address challenges in managerial decision-making, regulatory compliance, and organizational performance. Key research themes include cybersecurity frameworks, cryptocurrency valuation, and the integration of balanced scorecards for strategic initiatives. His work frequently explores real-world applications in sectors such as winemaking, timber harvesting, and pandemic-era technology adaptation. Dr. Herath’s contributions bridge theoretical models with practical implementations in corporate social responsibility, environmental sustainability, and cost-volume-profit analysis. His publications span academic journals and industry reports, emphasizing methodological rigor and actionable insights. Notable areas of exploration include cyber-insurance pricing frameworks, regulatory pressures on small businesses, and the ethical dimensions of cryptocurrency.

Vincent LarsonView profile

Professor

• Simulation of clouds and microphysics
• Computational fluid dynamics
• Monte Carlo simulation
• +1 more

Professor Vincent Larson, affiliated with the Department of Mathematical Sciences at the University of Wisconsin — Milwaukee, serves as Data Science Internship Coordinator and Program Coordinator for the Statistics Research Group. He holds a PhD from MIT and a BA in Physics from Yale. PhD, Massachusetts Institute of Technology (1999) BA in Physics, Yale University (1992) Larson's research focuses on cloud simulations, computational fluid dynamics, Monte Carlo methods, and parameter estimation. His work explores turbulence-cloud interactions, microphysical processes, and numerical accuracy in Earth System Models. Developed CLUBB GPUization for performance portability in turbulence parameterization Coordinated Climate Process Team grants (2010–2015) across 6 institutions Collaborated with Fachhochschule Aachen on dual-degree Master's programs His publications (over 87) emphasize cloud dynamics , precipitation modeling , and subgrid-scale representations in climate models. Larson has held visiting fellowships at NCAR and maintains affiliations with Pacific Northwest National Laboratory and Colorado State University's CIRA.

Julie PaprockiView profile

Assistant Professor

• Geotechnical Engineering
• Coastal Engineering
• Remote Sensing
• +4 more

Julie Paprocki is an Assistant Professor in the Department of Civil and Environmental Engineering at the University of New Hampshire (UNH), serving as the Ocean Engineering Minor Coordinator within the College of Engineering and Physical Sciences. Her research focuses on geotechnical engineering applications in coastal and estuarine environments, leveraging remote sensing technologies like synthetic aperture radar and satellite imagery. She specializes in sediment characterization, intertidal zone analysis, and developing frameworks for assessing coastal soil properties using non-invasive methods. Dr. Paprocki teaches advanced courses including CEE 502 (Project Engineering), CEE 796/896 (Marine Geotechnics), and OE 758/858 (Design of Ocean Structures). Her work integrates field measurements with remote data collection to improve understanding of coastal geotechnical challenges, particularly in extreme event contexts. Recent publications emphasize satellite-based moisture content assessment, sediment classification, and portable instrumentation for site characterization. No scientific awards or grants are explicitly listed in the provided materials. Her research lab focuses on advancing coastal infrastructure resilience through innovative geotechnical methodologies.

XiaoHang LiuView profile

Professor

• Geographic Information Systems (GIS)
• Remote Sensing
• Spatial Statistics
• +5 more

Dr. XiaoHang Liu is a Professor in the Department of Geography and Environment at San Francisco State University (SFSU). She specializes in geographic information techniques, including GIS, Remote Sensing, and Spatial Statistics, with applications in urban land use, environmental modeling, and public health. Her research focuses on the intersection of built environments and health equity, leveraging internet GIS for community engagement in urban revitalization. Dr. Liu holds a PhD in Geography from the University of California, Santa Barbara (UCSB). She is affiliated with the Institute for Geographic Information Science at SFSU, emphasizing applied geospatial research and education. Her research interests include urban land use dynamics, population distribution modeling, and environmental justice. She has extensively explored methods for improving digital elevation model accuracy, spatial interpolation techniques, and pedestrian volume estimation in urban settings like San Francisco. Dr. Liu collaborates on projects addressing estuary conservation networks, dasymetric mapping, and geostatistical approaches to demographic analysis. Her work bridges theoretical spatial metrics with practical applications, such as enhancing public participation through GIS tools.

• Artificial Intelligence
• Data Science
• Machine Learning
• +9 more

Qianru Sun is an Associate Professor at the School of Computing and Information Systems, Singapore Management University (SMU), and a Lee Kong Chian Fellow. Her research focuses on artificial intelligence, machine learning, computer vision, and semantic segmentation, with a particular emphasis on few-shot learning, meta-learning, and domain adaptation in remote-sensing imagery. Recent publications highlight her work on visual chain-of-thought reasoning , 3D scene understanding via 2D models , and parameter-efficient fine-tuning of large models. Her research also extends to weakly-supervised semantic segmentation and cross-modal video retrieval . Scientific Awards : Lee Kong Chian Fellow (2021–2023, 2025–2027) Outstanding Service Award by MMAsia (2020) Outstanding Reviewer at NeurIPS'21 and ICLR'21 Students : PhD students: Luo Zilin, Tian Zichen, Ying Jiahao Master’s students: Bao Chunhui, LOH Yi Lin, MA Li

• Computer Vision
• High Performance Computing
• Data Science
• +1 more

Kannappan Palaniappan is a Curators' Distinguished Professor in Electrical Engineering and Computer Science at the University of Missouri. His pioneering work spans computer vision, high-performance computing, and biomedical image analysis, with applications from molecular microscopy to satellite remote sensing. Received prestigious honors including NASA Public Service Medal for scientific visualization innovations and National Academies Jefferson Science Fellowship. Research interests include large-scale image analysis, geospatial visualization, biomedical imaging, and parallel computing algorithms. Developed foundational techniques for the Digital Earth visualization system and co-founded NASA's Visualization and Analysis Lab. Publications demonstrate extensive applications across scales from cellular neuroscience to Earth observation. Recent works focus on neural circuit modeling, high-performance computing frameworks, and interdisciplinary applications in neuroscience and geospatial analysis. NASA Public Service Medal National Academies Jefferson Science Fellowship Air Force Summer Faculty Fellowship Boeing Welliver Faculty Fellowship William T. Kemper Teaching Fellowship Secured research funding from NIH, NSF, NASA, and DoD laboratories. Holds patents for moving object detection and camera pose estimation technologies.

Naeem MianView profile

Professor

• Machine Tools
• Thermal Engineering
• Sensor Technology
• +7 more

Dr. Naeem Mian is a Professor and Subject Area Leader in Mechanical and Automotive Engineering at the School of Computing and Engineering, University of Huddersfield. He holds a BEng in Electronic Engineering, MSc in Engineering Control Systems and Instrumentation, and a PhD in Machine Tools Thermal Finite Element Analysis (FEA). His research focuses on thermal behavior of machine tools, vibration sensors, control engineering, and sustainable technologies. He is affiliated with the Centre for Precision Technologies and the Centre for Thermofluids, Energy Systems, and High-Performance Computing. Dr. Mian’s research explores thermal error mitigation, sensor calibration, and advanced manufacturing systems. His work contributes to UN Sustainable Development Goals via innovations in energy-efficient systems and smart materials. Recent projects include developing a 'Smart Mattress' to reduce landfill waste and improve sleep quality. His publications span thermal modeling, hybrid generators, and wearable e-textiles. Notable collaborations involve wind energy optimization, bioaerosol dispersion analysis in railways, and precision vibration sensing. He actively supervises PhD students and participates in interdisciplinary projects combining mechanical, electrical, and materials engineering.

Aly FathyView profile

Professor

• Antenna Design
• Microwave Engineering
• Phased Array Antennas
• +5 more

Dr. Aly Fathy is a Professor in the Department of Electrical Engineering and Computer Science at the University of Tennessee, Knoxville. He is affiliated with the Tickle College of Engineering and holds a PhD in Electrical Engineering from the Polytechnic Institute of New York (1984). His research focuses on antenna design, microwave engineering, phased arrays, and biomedical radar applications. He has led the development of advanced radar systems for non-invasive health monitoring and contributed to innovations in UWB, MIMO, and millimeter-wave technologies. Education: PhD in Electrical Engineering, Polytechnic Institute of New York, 1984 MS in Electrical Engineering, Ain Shams University, Cairo, Egypt, 1980 BS in Pure & Applied Mathematics (Honors) and BS in Electrical Engineering (Honors), Ain Shams University, Cairo, Egypt, 1979 Research Interests: Dr. Fathy's work bridges theoretical electromagnetic analysis and practical applications. He has pioneered reconfigurable antennas, radar systems for vital sign detection, and microwave heating technologies. His research includes: Development of compact, high-performance antennas for 5G and satellite communications Ultra-Wideband (UWB) radar for through-wall imaging and non-contact health monitoring Biomedical applications, such as heart rate and respiration detection using Doppler radar Advanced phased array designs and microwave circuit optimization Publications & Trends: His recent work emphasizes multi-subject vital sign monitoring, millimeter-wave radar systems, and AI-driven signal processing. Key themes include improving radar accuracy in cluttered environments and enhancing biomedical sensor reliability. Awards: Sarnoff Team Award (1999) for DBS antenna development Outstanding Achievement Awards (1989–1997) for contributions to superconductors, embedded filters, and antenna innovation Best Paper Award at IEEE-MTT Symposium (1988) Grants & Advising: Dr. Fathy has advised over 10 graduate students and secured significant industry partnerships, including grants from Agilent and Ansoft. He established state-of-the-art labs for antenna testing, microwave circuit fabrication, and high-frequency simulations. Labs & Teams: His research group collaborates with biomedical departments on cross-disciplinary projects, such as fiber-optic communication systems and electromagnetic biological effects analysis.

Peter Jan van LeeuwenView profile

Professor

• Data Assimilation
• Physical Oceanography
• Geophysical Fluid Dynamics
• +4 more

Peter Jan van Leeuwen is a Professor of Data Assimilation and Physical Oceanography at Colorado State University (since 2018) and a Professor of Data Assimilation at the University of Reading (since 2009). He holds leadership roles, including Director of the Data Assimilation Research Centre (DARC) and former Director of the National Centre for Earth Observation (NCEO). He earned his Ph.D. in Fluid Dynamics from Delft University of Technology (1992) and holds multiple advanced degrees in Theoretical Physics and Astrophysics from Dutch universities. His research focuses on advancing data assimilation techniques (including machine learning), causal discovery in non-intervenable systems, and their applications to geophysical fluids like oceans, atmosphere, and cryosphere. Key areas include ocean dynamics, air-sea interaction, sea-ice prediction, cloud microphysics, and hurricane modeling. He has been funded by NSF, NOAA, NASA, and European agencies like the ERC and NERC. Notable awards include the George T. Abell Outstanding Faculty Research Award (2025) and the ERC Advanced Investigator Award (2016). He has authored over 50 peer-reviewed articles and co-edited the open-access textbook Data Assimilation Fundamentals . Van Leeuwen leads the Center for Nonlinear Data Assimilation, Causal Discovery, and Prediction, emphasizing cutting-edge methods for high-dimensional systems and climate predictability.