Find Academic Supervisors

• Marine and Coastal GIS
• Climate Change Adaptation
• Environmental Livelihood Security
• +4 more

Associate Professor Eleanor Bruce is an academic at the University of Sydney, affiliated with the Sydney Environment Institute and Sydney Institute of Agriculture. As Deputy Node Leader of the University of Sydney's SpaceNet program, her work integrates Earth observation data with socio-ecological research to address environmental change and sustainability challenges. Her research focuses on coastal management, climate adaptation, remote sensing, and geospatial technologies. Her expertise includes spatial analysis of marine ecosystems, disaster risk assessment, and climate-smart agricultural systems in the Pacific region. She leads interdisciplinary projects involving partnerships between academia, policy, and communities. Notable contributions include developing frameworks for youth engagement in climate adaptation and creating open-source geospatial tools for smallholder farmers. Eleanor has secured grants such as the 'Identifying High-Risk Communities for Climate-Sensitive Child Undernutrition in Maluku Province, Indonesia' (2024) and 'Detecting Flooding in Fiji's Croplands' (2022). Her work emphasizes practical applications of geospatial data to enhance resilience in vulnerable coastal communities. She has collaborated on projects like the 'More Than Maps' framework for youth research capacity building and pioneered UAV techniques for whale observation. Her research also addresses historical vegetation changes in protected areas like the Angkor World Heritage Site. Eleanor holds leadership roles in environmental policy and has contributed to initiatives like the Sydney Southeast Asia Centre. Her teaching and supervision span environmental GIS applications and climate change mitigation strategies.

• Computational Methods
• High Performance Computing
• Cloud Computing
• +3 more

Professor Simon Cox is a Professor of Computational Methods and Director of the Microsoft Institute for High Performance Computing within the Faculty of Engineering and Physical Sciences at the University of Southampton. He holds a doctorate in Electronics and Computer Science, complemented by first-class degrees in Mathematics and Physics. His research focuses on computational tools and platforms, particularly in high-performance computing, cloud computing, and interdisciplinary applications in engineering and science. He has secured over £30 million in research and enterprise funding, published over 250 papers, and is a Microsoft Most Valuable Professional since 2003. Research interests include computational electromagnetics, meshless methods, and data management. His team, the Computational Engineering and Design Group, develops high-performance computing systems and commercial distributed computing solutions. Notable projects include a Raspberry Pi and Lego-based supercomputer and a spin-off company from computational electromagnetics research. He actively supervises PhD students in Engineering and Environmental Science. Key awards include the Microsoft MVP title. His work spans environmental monitoring (e.g., methane sensors, IoT-based peatland tracking), cybersecurity for IoT devices, and biomedical applications like 3D X-ray histology. He leads outreach initiatives, including the 'Supercomputing in Engineering Course' since 2005.

Peter AlonziView profile

Assistant Professor

• Criminal Justice
• Mental Health
• Data Science
• +3 more

Peter Alonzi is an Assistant Professor of Data Science at the University of Virginia's School of Data Science, appointed in 2022. He previously served as lead of research computing and held a postdoctoral position at the University of Washington. His research focuses on the intersection of mental health and criminal justice, with additional expertise in particle physics. Alonzi collaborates across disciplines, partnering with the School of Engineering, School of Medicine, and Darden School of Business on projects addressing societal challenges. He teaches courses like Data Wrangling in Python and Physics, and leads educational initiatives for the M.S. in Data Science program. Education: Ph.D. in Physics (University of Virginia), B.S. Physics (College of William and Mary, Magna Cum Laude) Labs: Paul Scherrer Institute, Fermilab, Oak Ridge National Laboratory, Jefferson Lab, TRIUMF Teaching Roles: Orientation leader, capstone project coach, curriculum committee co-chair Alonzi's research explores criminal justice system inefficiencies, mental health service integration, and data-driven policy solutions. His work combines advanced computational methods with interdisciplinary collaboration. Recent projects analyze electronic incarceration efficacy, mental health screening in correctional facilities, and pandemic-era justice system adaptations. His technical contributions include deep learning fraud detection models and particle physics instrumentation designs. Despite no explicitly listed awards, his collaborative approach and applied data science focus reflect sustained academic engagement.

• Agricultural Economics
• Food Security Policy
• Development Economics
• +7 more

William Burke is an Associate Professor in the Department of Agricultural, Food, and Resource Economics at Michigan State University (MSU), affiliated with the College of Agriculture & Natural Resources. His research focuses on agricultural policy, food security, and poverty dynamics in Africa, with extensive fieldwork in Zambia, Malawi, and The Gambia. He holds an MSc and PhD from MSU (2009, 2012), following Peace Corps service in The Gambia (2001–2003). Burke’s work includes analyzing fertilizer subsidies, soil management, and gender disparities in resource access. He has held roles at Stanford University and consultancies with organizations like the MwAPATA Institute in Malawi. Research interests include poverty dynamics, sustainable intensification, and cost-benefit analysis of agricultural policies. He contributes to multivariate statistical methods, notably developing the 'craggit' package in Stata. Awards include the 2017 Bruce Gardner Memorial Prize for policy analysis and recognition for top-cited papers in Agricultural Economics. Burke advises the Food Tank Board and serves on The African Journal of Agricultural and Resource Economics editorial board. Educations: PhD & MSc in Agricultural Economics (MSU, 2012 & 2009) Awards: Multiple accolades for policy research and academic contributions Labs/Initiatives: Innovation Lab for Food Security Policy, MwAPATA Institute collaboration His recent work addresses climate impacts on Malawi’s agriculture, fertilizer price volatility, and gender gaps in land access. Teaching includes multivariate statistics and survey design at MSU, Stanford, and the University of Zambia.

• Ecohydrology
• Water Quality Management
• Environmental Impact Assessment
• +6 more

Dr. Pouyan Nejadhashemi is an MSU Research Foundation Professor in the Departments of Plant, Soil and Microbial Sciences and Biosystems & Agricultural Engineering at Michigan State University. He serves as Director of the MSU Institute of Water Research and the Center for Intelligent Water Resources Engineering. His expertise spans ecohydrology, climate change adaptation, environmental impact assessment, and decision support systems for ecosystem sustainability. He holds a Ph.D. in Biological Resources Engineering from the University of Maryland. Dr. Nejadhashemi's research focuses on water quality modeling, non-point source pollution prevention, and integrating machine learning with hydrological systems. Key areas include irrigation optimization, PFAS contamination monitoring, and watershed management. He teaches courses on water resources systems analysis and ecohydrology. Awards: MSU Research Foundation Professor Title Grants: FAA grant for PFAS remediation, grants for developing agricultural innovations in Senegal and Bangladesh Labs/Teams: MSU Institute of Water Research, Center for Intelligent Water Resources Engineering His work bridges computational methods with environmental challenges, addressing global water security, food systems, and sustainable resource management. Recent projects include modeling water quality in the Chesapeake Bay and developing AI tools for agricultural extension platforms.

• Human-AI Value Alignment
• Ethical Machine Learning
• Algorithmic Fairness
• +5 more

Neil S. Gaikwad is an Assistant Professor at the University of North Carolina, Chapel Hill, in the School of Data Science and Society and Department of Computer Science. He holds a PhD in Society-Centered AI from MIT and has affiliations with the MIT Dalai Lama Center for Ethics and UNC’s Parr Center for Ethics. His research focuses on Human-AI Alignment, ethical machine learning, and policy design for global equity, particularly in underserved populations. His work integrates ethical principles into AI systems to address societal disparities, climate change, and algorithmic fairness. Dr. Gaikwad has led projects such as the AI and Policy research program, developed systems like Daemo and EteRNA, and contributed to high-impact publications in AAAI, ACM CSCW, and PNAS. He has mentored over 30 students, many of whom have secured fellowships and advanced AI fairness research. Awards include MIT’s Karl Taylor Compton Prize and Facebook Research Fellowship. His teaching spans courses on AI ethics, policy, and societal impact at MIT, CMU, and UNC, with student evaluations praising his mentorship and course design. He has advised global institutions like the UN and EU on AI policy, and his work bridges academia, industry, and policy through initiatives like Data-driven Humanitarian Mapping. His art installations, such as Beyond Boundaries , explore environmental and ethical themes, reflecting his interdisciplinary approach to science and society.

• Environmental Surveillance Monitoring
• Ecological Data Standardization
• Remote Sensing
• +7 more

Associate Professor Ben Sparrow is affiliated with the University of Adelaide's School of Biological Sciences within the Faculty of Sciences, Engineering and Technology. He leads the TERN Ecosystem Surveillance program, focusing on environmental monitoring methodologies and data standardization. His work emphasizes integrating remote sensing technologies with ecological data to improve biodiversity tracking and policy development. Ben has extensive experience in grant-funded research, including leadership roles in TERN's AusPlots and Eco-informatics initiatives, and has contributed to projects like the Global Drylands Assessment with the UN FAO. He collaborates with stakeholders to address socio-ecological challenges in environmental management and has advised Honours students on topics related to natural resource management and ecological data analysis. Research Interests : Ben's research centers on environmental surveillance, ecological monitoring standardization, remote sensing applications, citizen science integration, and understanding climate change impacts on Australian flora. He advocates for adaptable protocols that balance national data consistency with regional autonomy, ensuring ecological data supports both science and policy. His work includes developing open-access datasets (e.g., deadtrees.earth) and advancing tools like the ausplotsR package for vegetation analysis. Grants & Funding : Recent grants include $2.1M from NCRIS/TERN (2018), a $484,770 Citizen Science Grant for the Wild Orchid Watch project, and UN FAO funding ($20,000 USD) for global drylands research. He has also secured funding for LiDAR and photogrammetry initiatives, vegetation mapping projects, and cross-disciplinary research efforts. Professional Activities : Ben actively participates in committees such as the Enabling ecosystem surveillance working group (Ecosystem Science Council) and the Drylands Working Group (UN FAO). He co-chaired the 15th Australasian Remote Sensing and Photogrammetry Conference and contributes to global initiatives like the sPlot dataset project. His work bridges ecological science with practical policy applications, emphasizing reflexivity and communication in socio-ecological systems. Labs/Teams : Ben is part of the Terrestrial Ecosystem Research Network (TERN) team at the University of Adelaide's Waite campus, leading the Ecosystem Surveillance unit. He collaborates with the AusPlots Rangelands program and the Eco-informatics group to develop continental-scale ecological monitoring infrastructure.

Ozgur OzdemirView profile

Research Professor

• Unmanned Aerial Systems (UAS)
• mmWave Technology
• Wireless Communication
• +7 more

Ozgur Ozdemir is an Associate Research Professor in the Department of Electrical and Computer Engineering at North Carolina State University's College of Engineering. He is affiliated with the university's primary faculty and works closely with platforms like AERPAW and AFAR Challenge. His research focuses on advanced wireless systems, including UAV networks, mmWave technology, spectrum analysis, and radar-communication integration. His work spans experimental testbed development, digital twin applications for AI research, and methodologies for improving coverage in rural and urban environments. Ozdemir has contributed to standards like 5G NR and non-standalone 5G systems, emphasizing practical implementation and environmental impact analysis. He leads efforts in signal processing for autonomous systems and has expertise in software-defined radio (SDR) technologies. Research interests include aerial threat detection, RF signal analysis, and robust localization techniques. He explores challenges in NLOS bias correction, antenna radiation patterns, and passive reflector-based coverage enhancement. His work often combines theoretical models with experimental validation using platforms like AERPAW. His articles highlight advancements in drone detection systems, channel modeling for mmWave, and the integration of radar and communication systems. Key trends show a focus on outdoor/indoor spectrum measurements, UAV navigation, and resilient network design. Ozdemir's contributions are characterized by empirical studies and cross-disciplinary approaches to wireless challenges.

• Climate Change Mitigation
• Industrial Ecology
• Life Cycle Assessment (LCA)
• +7 more

Francesco Cherubini is a Professor and Director of the Industrial Ecology Programme at NTNU's Department of Energy and Process Engineering. He leads multidisciplinary research on climate change mitigation, environmental sustainability, and bio-based systems. His work integrates field studies, climate models, and life cycle assessment (LCA) to evaluate energy systems, land use, and technological innovations. Education & Roles: Professor at NTNU since [year not explicitly stated, inferred from roles] Lead Author for IPBES Nexus Assessment Report and IPCC Special Report on Climate Change and Land Director of the Industrial Ecology Programme Research Focus: Climate impacts of energy systems and land use (agriculture, forestry) Sustainable bioenergy and bio-based technologies (biofuels, biorefinery) Environmental impacts of hydrogen, aviation fuels, and industrial processes Climate-smart agriculture and land management strategies Life cycle assessment methodological advancements Key Projects (2020–2027): LCA4BIO: Harmonized LCA methods for bio-based systems ICARUS: Sustainable aviation biofuels development HYDROGENi: Norwegian hydrogen innovation center AGRISCASCADE: Circular fertilizers from agricultural waste SusLand: Sustainable land management for climate mitigation Scientific Recognition: Web of Science 'Highly Cited Researcher' (top 1% by citations) Teaching: Graduate course TEP 4300: 'Climate Change Mitigation'

• Quality of Experience (QoE)
• User Experience (UX)
• Cybersecurity
• +6 more

Katrien De Moor is an Associate Professor at the Department of Information Security and Communication Technology at NTNU. Her work focuses on socio-technical approaches in ICT research, particularly in Quality of Experience (QoE), human-technology interactions, and ethical implications of technology. She co-edits the journal Quality and User Experience and leads the 5-year Master's program in Cybersecurity and Data Communication. Her research emphasizes user-centric innovation, digital ethics, and sustainable HCI. Education: PhD in Social Sciences from Ghent University (2012). Visiting researcher at TU Eindhoven, TU Berlin, and NTNU (Marie Curie Fellow). Research Interests: User Experience (UX) and QoE in immersive technologies Human behavior and ethical design Ecological validity in user studies Cybersecurity in critical sectors Long-term QoE assessment Publications highlight: Recent work explores ethical risks in smart environments, sustainable multimedia design, and user perspectives on parental controls. Her projects include Amplify (EU-funded), PERSEUS Doctoral Programme , and Cryptology and Social Life . Supervision: Active mentor to over 30 PhD students and researchers, focusing on cybersecurity, ethical AI, and human-centered design. Grants: Principal Investigator for the Norwegian TufiQoE project (2020-2024) and grants on digital carbon footprint awareness. Labs/Teams: Member of SFI NORCICS (Norwegian Cybersecurity Center) and the Young Academy of Norway. Leads interdisciplinary projects in human-centric networking and XR security.

• Quantum Technologies
• Imaging
• Sensing
• +6 more

Professor Daniele Faccio is Professor of Quantum Technologies at the University of Glasgow's School of Physics & Astronomy since December 2017. He also serves as adjunct professor at the University of Arizona and was elected Fellow of the Royal Society of Edinburgh in 2017. Previously, he was at Heriot-Watt University (2010-2017) and has held visiting positions at MIT and ICFO, Barcelona. Professor Faccio leads the Extreme Light Group, focusing on quantum technologies applied to imaging and sensing. His research spans quantum-enhanced imaging through complex media, photon transport in biological tissues, and analogue gravity phenomena where intense laser pulses create artificial black holes and 'expanding universes' in laboratory settings. His work bridges fundamental physics with practical applications in biomedical imaging, security, and quantum information processing. Recent publications reveal a strong trend toward quantum-enhanced imaging techniques, machine learning applications in optical sensing, and biomedical applications of advanced optical technologies. His research integrates quantum optics, computational imaging, and photonics to develop novel sensing modalities with applications ranging from non-invasive medical diagnostics to quantum information processing. Professor Faccio has received numerous prestigious awards including the Philip Leverhulme Prize in Physics (2015) and the Royal Society of Edinburgh Senior Public Engagement Medal (2017). He was an ERC fellow from 2012-2017 and a Marie-Curie fellow at ICFO, Barcelona. As principal investigator, Professor Faccio has secured significant research funding supporting his interdisciplinary team. His work on quantum imaging, analogue gravity, and computational optics has attracted substantial grant support from major research councils. He actively mentors postdoctoral researchers and PhD students in the interdisciplinary field spanning physics, engineering, and computational science. The Extreme Light Group maintains state-of-the-art laser laboratories with capabilities in ultrafast optics, quantum optics, and computational imaging. Current projects focus on quantum-enhanced imaging for biomedical applications, non-line-of-sight imaging through scattering media, and exploring fundamental physics through optical analogues of gravitational phenomena.

Stanko StankovView profile

Researcher

• Industrial Automation
• Process Control
• SCADA Systems
• +7 more

Stanko Stankov is a researcher at the Faculty of Electronics, University of Niš, Serbia, affiliated with the Department of Automation. His work bridges academic research and industrial application in automation, control systems, and energy-efficient industrial processes. Master's Degree, Automation, Faculty of Electronics, University of Niš, 2013 Bachelor's Degree, Automation, Faculty of Electronics, University of Niš, 1987 His research focuses on industrial automation, particularly the application of PLC and SCADA systems in mineral wool production, water treatment, HVAC, and electrical installations. His work emphasizes real-time monitoring, process optimization, and energy efficiency in industrial settings. He has contributed to the design and implementation of control systems for complex technical plants, grounding, solar power, and security installations. The recent publications reveal a consistent trend in applied control engineering, with a focus on industrial process automation, data acquisition, and system integration. His work spans chemical, water, metallurgical, and energy sectors, demonstrating interdisciplinary relevance in engineering. Stanko Stankov holds professional licenses as a responsible designer and contractor in electrical and automation systems, indicating strong industry engagement. He has been involved in over 40 major design projects and the construction of more than 20 industrial facilities. He participates in national research projects and has contributed to journals such as Facta Universitatis , Tehnika , and Chemical Industry . His expertise includes solar power plants, fire protection, video surveillance, and telecommunications infrastructure.

Maria ShahgedanovaView profile

Professor

• Climate Change
• Climatology
• Mountain Cryosphere
• +9 more

Maria Shahgedanova is a Professor in the Department of Meteorology at the University of Reading, Faculty of Science. She serves as Programme Co-Director for the MSc in Environmental Management and teaches climatology and climate change at both undergraduate and postgraduate levels. She is affiliated with key research groups including the Walker Institute, Water@Reading, and the Environmental Science Research Division. Research Interests: Her work centers on climate change and variability in extratropical Eurasia and mountainous regions, with emphasis on the mountain cryosphere, glacier dynamics, water resources, and natural hazards. She investigates the impacts of light-absorbing impurities on snowmelt, uses stable water isotopes in hydrological assessments, and develops meteorological forecasts for early warning systems. Her research is particularly focused on Central Asia and High Mountain Asia. The recent publications reflect a strong trend in climate-hydrology interactions in glacierized environments, with increasing emphasis on disaster risk reduction, isotope hydrology, and climate adaptation. Much of her work integrates remote sensing, modeling, and field data to assess future water security and hazards under climate change. University of Reading Engagement and Impact Award (2022) Schlumberger Foundation Fellowship Climate and Cryosphere (CliC) Fellowship Contributing Author, IPCC SROCC Chapter on High Mountain Areas Maria leads multiple international research projects funded by IAEA, UKRI, the Royal Society, and GCRF. She supervises PhD students including Qiao Li and Saule Suleimenova, and mentors postdoctoral researchers such as Dr. Gavkhar Mamadjanova and Dr. Vadim Yapiyev. She leads the Mountain Observatories working group at the Mountain Research Initiative (MRI) and established the Central Asia Research and Adaptation Water Network (CARAWAN), enhancing regional collaboration and capacity building. Her team’s work at the Tuyuksu Mountain Observatory has gained international recognition, including coverage in the New York Times . She actively collaborates with ECMWF, WMO’s Third Pole Regional Climate Change Network (TPRCC), and IAEA’s GLOWAL network, demonstrating strong engagement in global climate science initiatives.

• Signal Processing
• Image Processing
• Smart Environments
• +6 more

Manuel Reis is an Associate Professor with Agregação at the University of Trás-os-Montes e Alto Douro (UTAD), Portugal, in the Electrical Engineering Department. His research focuses on signal/image processing, smart environment systems, and multimedia education technologies. He is affiliated with the Institute of Electronics and Telematics Engineering of Aveiro (IEETA) and collaborates with Brazil's IFPA-Santarém in computing education research. Education: Bachelor's in Electrical Engineering (University of Trás-os-Montes e Alto Douro, 1991) Master's in Electronics and Telecommunications (University of Aveiro, 1996) PhD in Electrical Engineering (University of Aveiro, 2001) Research Interests: Signal & Image Processing Cybersecurity for IoT and Smart Environments Education Technology (e-learning, multimedia tools) 5G and Edge Computing Applications Artificial Intelligence in Agriculture and Healthcare Recent articles highlight his work on cybersecurity in connected vehicles, federated learning for IoT security, and IoT-based systems for drowsiness detection. He has contributed to projects involving smart city infrastructure, sustainable waste management, and low-cost biomedical devices. His educational research explores e-learning frameworks, student engagement metrics, and innovative teaching methodologies in engineering education. Lab/Affiliations: Institute of Electronics and Telematics Engineering of Aveiro (IEETA) Multidisciplinary Research Group IFPA-Santarém-Brazil (Computing in Education)

Ollie BallingerView profile

Lecturer

• Geocomputation
• Remote Sensing
• Conflict Analysis
• +4 more

Dr. Ollie Ballinger is a Lecturer (Teaching) in Geocomputation at the Centre for Advanced Spatial Analysis (CASA), University College London. His research focuses on leveraging computational methods and satellite imagery for conflict analysis, environmental monitoring, and humanitarian applications. He holds a PhD from the Oxford Department of International Development, where his work explored computational approaches to insurgent recruitment dynamics in Turkey. Education: PhD in International Development from the University of Oxford (focused on computational conflict analysis) Research Interests: Dr. Ballinger's work spans geospatial analysis, remote sensing, and open-source intelligence (OSINT). He develops novel algorithms for detecting conflict-related damage (e.g., pixel-wise T-test for SAR imagery), tracks illicit activities like ship-to-ship transfers and illegal mining, and creates tools for humanitarian and environmental accountability. His projects often involve collaboration with organizations like Bellingcat and the Alan Turing Institute. Key Projects: Pixel-Wise T-Test (PWTT) algorithm for open-access battle damage detection Analysis of ship-to-ship transfers in maritime trade Monitoring illegal rare earth mining in Myanmar Radar interference tracking for military surveillance systems Tools & Contributions: Developed Python libraries for image processing and network analysis Principal Investigator for projects with Global Witness and the Alan Turing Institute Contributor to Bellingcat's investigative reporting on conflict pollution and environmental crimes Grants & Collaborations: Collaborations include work with the United Nations Satellite Centre (UNOSAT) for damage assessments and partnerships with NGOs like Global Witness for environmental monitoring projects. His research is supported by grants focused on computational methods for humanitarian and environmental applications. Labs & Teams: Active within the Centre for Advanced Spatial Analysis (CASA) at UCL, where he contributes to interdisciplinary geospatial research initiatives.