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Dr. Esraa Khatab is an Assistant Professor at the School of Mathematical and Computer Sciences, Heriot-Watt University (Dubai Campus). She holds a PhD from the University of Central Lancashire (2024), and prior degrees from AASTMT Egypt (BEng 2014, MEng 2016). With 11 years of academic experience, she has taught courses like Data Structures, Computer Architecture, and Systems Programming. She is currently completing a PGCert in Teaching & Learning at Heriot-Watt. **Education**: BEng (Hons) Computer Engineering, AASTMT (2014) MEng (Hons) Computer Engineering, AASTMT (2016) PhD in Computer Science, University of Central Lancashire (2024) Her research focuses on Computer Vision, Autonomous Vehicles, and Embedded Systems , with applications in healthcare (medical imaging), precision agriculture, and AI-driven safety systems. Her work addresses challenges like autonomous vein injection, weather-resistant vision systems, and vulnerable object detection for self-driving cars. Awards : Associate Fellow of Advanced HE. Teaching & Roles**: Computer Science Year 1 Coordinator (January intake) Course coordinator for Hardware-Software Interfaces, Data Structures, and Systems Programming Accepting PhD students Her research aligns with UN SDGs related to innovation and infrastructure, sustainable cities, and health equity.

• Computer Vision
• Autonomous Vehicles
• Embedded Systems
• +5 more

Associate Professor Thierry Peynot is affiliated with the Queensland University of Technology (QUT) , specifically within the School of Electrical Engineering & Robotics in the Faculty of Engineering . He holds a PhD from the Institut National Polytechnique de Toulouse , France. His research focuses on robotics, perception, sensor data fusion, computer vision, autonomous systems, planetary rovers, mining robotics, and medical robotics , with a strong emphasis on terrain traversability analysis and resilient navigation in challenging environments. His professional roles include serving as Associate Editor for the IEEE Robotics and Automation Letters (RA-L) and involvement in prestigious conferences such as IEEE International Conference on Robotics and Automation (ICRA) and IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) . He has contributed to national robotics initiatives, including co-chairing the Resources section of Australia's National Robotics Roadmap (2018 & 2020). Thierry’s research has led to advancements in autonomous navigation, particularly in dense vegetation, underground mining, and planetary exploration. His work includes developing systems like ForestTrav for forest terrain analysis and LookUP for underground localization. He has supervised over 15 PhD and Master’s students, focusing on topics such as medical robotics, autonomous navigation, and sensor fusion. Key achievements include awards for conference organization, editorial contributions, and leadership in robotics standardization. His lab, the QUT Centre for Robotics , drives innovations in robotics for industry, space, and healthcare.

• Robotics
• Perception
• Sensor Data Fusion
• +9 more

Øyvind Ødegård is a senior researcher in marine archaeology at the Department of Archaeology and Cultural History, NTNU University Museum, affiliated with the Centre for autonomous marine operations and systems and Applied Underwater Robotics Laboratory. His research focuses on developing advanced technological approaches to underwater archaeology, including sensor-carrying platforms, autonomous systems, and remote sensing methods for documenting cultural heritage. His education includes doctoral research focused on autonomous operations in marine archaeology. Research interests include: Underwater robotics for archaeological mapping Hyperspectral imaging applications in marine archaeology Non-destructive geophysical methods Arctic marine ecology and archaeology intersections Computational archaeology methods Publications show consistent focus on technological innovation in underwater documentation, with recent work exploring drone applications, multi-sensor integration, and climate impacts on marine heritage. Awards include recognition for innovative archaeological methods. Leads field operations in challenging environments including Arctic regions and Mediterranean underwater sites. Directs field operations using ROVs, AUVs and surface vessels. Collaborates internationally on projects including Oppdrag Mjøsa and Mediterranean archaeological surveys. Research has been demonstrated in high-profile archaeological investigations including documentation of world's northernmost shipwrecks.

• Marine Archaeology
• Underwater Robotics
• Remote Sensing
• +2 more

Thomas Theis Nielsen is an Associate Professor at the Department of People and Technology, Roskilde University. His work focuses on satellite remote sensing and GIS applications, contributing to UN Sustainable Development Goals. He has participated in 13 research projects including the Femern Fyrtårn infrastructure impact study and the SEAFACTS maritime history platform. His research explores rural migration patterns, sustainable tourism in nature parks, and socio-economic impacts of large infrastructure projects. Education & Professional Background: While specific academic credentials aren’t detailed, his extensive publication record (64+ outputs) and project leadership indicate advanced training in geography and spatial sciences. Research Interests: Combines technical expertise (remote sensing, GIS) with socio-spatial analysis. Key themes include: Quantitative migration modeling Infrastructure development impacts Sustainable tourism governance Crowdsourced spatial data applications GIS-based education innovation Awards: Won RUC's 2018 Teaching Prize for educational contributions. Grants & Activities: Manages projects like Urban Tech Lab (Carlsberg Foundation) and Innotech TaskForce. Engages in 45+ activities including consultancy on urban housing trends and workshops on historical GIS. Labs/Teams: Collaborates with the Centre for Maritime and Marine Research and leads the MOSPUS research group.

• Satellite Remote Sensing
• Geographic Information Systems (GIS)
• Urban Studies
• +4 more

Vishnu Perumthuruthil Suseelan is a Postdoctoral Fellow at the Norwegian University of Science and Technology (NTNU), with affiliations to both the Department of Engineering Cybernetics and the Department of Language and Literature. His research focuses on ocean color remote sensing for coastal and open ocean water monitoring, particularly in characterizing water quality and phytoplankton communities including harmful algal blooms using HYPSO-1 satellite capabilities. PhD in Geography, University of Victoria, Canada Master of Science in Environmental Science and Disaster Management, Mahatma Gandhi University Bachelor of Science in Physics, Kottayam Specializing in multisensor data integration, Vishnu combines satellite imagery (Sentinel 3A OLCI, HYPSO-1) with in situ hyperspectral radiometry, HPLC pigment data, and environmental drivers to reveal phytoplankton dynamics in diverse regions like the subarctic northeast Pacific, Gulf of Mannar, and southeastern Arabian Sea. His work addresses ecological impacts of mariculture and supports salmon migration route monitoring through bio-optical property analysis. Peer-reviewed publications highlight his contributions to satellite validation (Sentinel 3A OLCI), seasonal phytoplankton mapping, and coastal water quality assessment. Current research extends to under-review studies on spatial-temporal phytoplankton variability and bioregionalization frameworks in the subarctic Pacific. Scientific Awards & Fellowships: European Space Agency (ESA) Fellowships MEOPAR Funding Canadian Space Agency (CSA) Grants Indian Space Research Organisation (ISRO) Support International Conference Travel Awards As a former Teaching Assistant at the University of Victoria, he has experience in laboratory instruction for remote sensing and image analysis. His fieldwork expertise includes water sample collection and analysis for biogeochemical parameters across diverse marine environments.

• Ocean Color Remote Sensing
• Marine Science
• Phytoplankton Dynamics
• +3 more

Zhaohui Chi is a Lecturer at Texas A&M University's Department of Geography. Her research focuses on integrating remote sensing techniques with geospatial analysis to monitor environmental changes, particularly in glacial dynamics, coastal zones, and land cover transitions. She holds a Ph.D. in Geography from Texas A&M University (2012), an M.S. in GIS from Sun Yat-Sen University (2007), and a B.S. in Geography from Nanjing University of Information Science and Technology (2004). Her research interests emphasize passive microwave remote sensing applications in geosciences, including glacier modeling, SAR imagery analysis, and environmental monitoring systems. Recent work includes studies on debris-covered glaciers in High Mountain Asia and Antarctic ice dynamics. Key publications span geomorphology, glaciology, and remote sensing, with a focus on numerical modeling, satellite data integration, and automated geospatial processing methods. Her work often addresses climate change impacts on cryosphere systems. Awards: SWAAG Student Paper Competition (2011), NASA RADARSAT-1 Data Approval (2010), and multiple grants in geospatial research. She has contributed to projects such as shoreline mapping (NASA-funded) and riparian assessments for Texas state agencies. Her technical expertise bridges field observations with advanced remote sensing analytics.

• Remote Sensing Applications
• Geospatial Image Processing
• Glacier Dynamics Modeling
• +3 more

Dr. Bryan Carter is a Professor in Africana Studies at the University of Arizona and Director of the Center for Digital Humanities within the College of Humanities. He specializes in African American literature of the 20th century, focusing on the Harlem Renaissance and digital culture. His work bridges historical scholarship with cutting-edge digital tools, notably through the Virtual Harlem project, an early virtual reality environment exploring 1920s Harlem's cultural landscape. Dr. Carter has held visiting roles at Sorbonne University (Paris IV) and led workshops globally on Digital Humanities, generational learning styles, and immersive technologies. Education: Ph.D. in African American Literature from the University of Missouri-Columbia Research Interests: Virtual Reality in Education Volumetric Video Technology BIPOC Cultural Preservation Immersive Storytelling Digital Pedagogy Afrofuturism & Technology Notable Contributions: Co-developed Virtual Montmartre (funded by Sorbonne) Pioneer in Second Life-based education (since 2005) Recipient of Sorbonne's 'Professeur Invite' award Keynote speaker at global conferences like L3 Singapore Grants & Collaborations: National Black Programming Consortium (2006) Government of Norway (2006) NEH ODH Summer Institute (2017) Labs & Initiatives: Center for Digital Humanities (UArizona) HumLab (Umea University, Sweden) African American Literatures and Cultures Institute (UTSA)

• Digital Humanities
• African American Literature
• Harlem Renaissance
• +4 more

Associate Professor John Triantafilis is an Honorary Associate Professor at the School of Biological, Earth & Environmental Sciences, University of New South Wales (UNSW). His research focuses on digital soil mapping (DSM), integrating proximal sensing technologies like electromagnetic induction and gamma-ray spectrometry with mathematical models such as linear mixed models, wavelet analysis, and machine learning. He addresses challenges in soil and water management, natural resource interpretation, and precision agriculture. Education: BSc.Agr, The University of Sydney, Australia (1990) PhD, The University of Sydney, Australia (1996) Research Interests: Development of DSM frameworks for soil property prediction Application of geophysical and spectral data for soil characterization Optimization of agricultural practices through precision management Environmental impact assessment of soil salinity and sodicity Funding & Collaborations: Grants from Cotton Research and Development Corporation, Sugar Research Australia, and Australian Government bodies International collaborations with universities in Australia, Portugal, Spain, and Iran Industry partnerships for practical outcomes in irrigation and fertilizer efficiency Awards: Recipient of prestigious awards including the Fulbright Fellowship and OECD Travel Fellowships Recognized for contributions to cotton research and environmental stewardship Labs/Teams: Engages in interdisciplinary projects with global research groups focused on soil science, geophysics, and environmental engineering.

• Digital Soil Mapping
• Soil Science
• Environmental Science
• +5 more

Marta Marrón Romera is an Associate Professor at the Department of Electronics, School of Engineering, University of Alcalá. Her research focuses on intelligent systems, embedded systems, mobile robotics, computer vision, and assistive technologies. She holds a PhD in Electronics Technology (2008) and has over 25 years of research experience, including a 15-week stay at KTH Royal Institute of Technology in Sweden. Her work spans probabilistic algorithms for autonomous robots, machine learning, and applications in smart environments. She has led 33 research projects (19 national, 2 European, and 20 private) and holds 3 patents. She has authored 39 peer-reviewed journal articles (36 in JCR-indexed journals, 24 Q1-Q2), 5 book chapters, and over 70 conference communications. Her h-index ranges from 17 to 21, with over 1,200 citations. She has supervised 2 Cum Laude PhD theses (European), 4 ongoing PhDs, 19 master's, and 35 bachelor's theses. She actively participates as an evaluator for national research agencies, including the Spanish State Research Agency and Andalusian Quality Agency. She has organized 9 workshops and a Special Session on Multisensor Signal Processing. Her research is recognized by continuous 'sexenios' (research activity valuations) since 2015. Key contributions include the GEINTRA group's work on sensor fusion for intelligent spaces, autonomous wheelchairs, and human activity monitoring. She pioneers edge computing solutions for real-time surveillance and healthcare applications.

• Intelligent Systems
• Embedded Systems
• Mobile Robotics
• +9 more

Wei Wei is an Assistant Professor of Finance at the University of Oklahoma's Price College of Business. He holds a Ph.D. in Finance from Duke University (2014) and previously served at the Haskayne School of Business, University of Calgary. His research focuses on capital structure, real options, macro finance, corporate governance, financial economics, and mutual funds. Teaching expertise includes corporate finance, investments, and derivatives. He is affiliated with the University of Oklahoma, which has over 6,300 students across six academic divisions. Research interests emphasize the intersection of finance and environmental systems, leveraging remote sensing and satellite data for ecological and agricultural studies. Recent work explores carbon dynamics, vegetation phenology, and urbanization impacts. He has published extensively on forest cover mapping, water resource monitoring, and climate-driven ecosystem changes, primarily using advanced remote sensing techniques (PALSAR-2, Sentinel-2, Landsat). His 2025 articles highlight innovations in tracking vegetation phenology, biomass carbon losses, and agricultural monitoring. Notable studies include analyzing drought impacts on northern temperate ecosystems and vertical urban growth in China’s Yangtze River Delta. While no scientific awards are explicitly mentioned, his contributions bridge financial theory with environmental and spatial data analysis. Advising and grants details are not detailed in the text, though his research involves collaborations on global datasets and satellite imagery analysis. He is part of Price College's efforts to expand interdisciplinary programs in finance and environmental economics.

• capital structure
• real options
• macro finance
• +3 more

Didier COQUIN is a University Professor at the Networks and Telecoms Department of IUT Annecy-Chambéry, University of Savoie Mont-Blanc. He has served as Head of the Networks and Telecoms (R&T) Department since July 2022 and previously held the role from 2014 to 2020. His research focuses on information fusion for decision-making under uncertainty, with applications in image processing, robotics, and environmental studies. He leads the AFuTé group and has organized conferences on machine learning and information fusion. Research Themes: Interval approaches and fuzzy thick sets Credibility-building methodologies Multisensor data fusion (e.g., for robotics, multispectral imaging) Adaptive fusion architectures for tree species recognition Teaching: Responsible for 1st-year computer science courses (Python programming) Machine Learning module for 5th-year engineering students Courses in telecommunications, signal processing, and probability-statistics Grants/Projects: ANR ReVeRIES (2016-2020): Smartphone-based plant recognition using fused data ANR ReVeS (2010-2014): Smartphone applications for tree species identification INTERREG France-Suisse CIME (2018-2022) Labs/Teams: AFuTé Group (Learning, Fusion, Remote Sensing) Former CoDe and FIAD groups Collaborations with EDYTEM lab on sediment core analysis

• Information Fusion
• Decision Support Systems
• Machine Learning
• +5 more

Dr. Dan Lathrop is a Professor at the University of Maryland's Department of Physics, leading the Nonlinear Dynamics Laboratory. His research focuses on turbulence, magnetohydrodynamics, and geophysical fluid dynamics, with a particular emphasis on modeling planetary magnetic fields using liquid sodium experiments. He oversees the 3-meter geodynamo experiment, aiming to replicate Earth's core dynamics. His work bridges experimental physics, computational modeling, and geophysics, with applications in understanding planetary interiors and astrophysical phenomena. Dr. Lathrop's research interests include turbulence modification by rotation and magnetic fields, quantum fluid dynamics, and the development of novel geophysical sensors for landmine detection. He has collaborated on interdisciplinary projects involving UAVs, machine learning, and reservoir computing. His lab has been featured in media outlets like Terp Magazine and Veritasium for its groundbreaking experiments. He advises multiple graduate students and has mentored former researchers now in academia and industry. His experimental setups, such as the sodium-filled spherical Couette device, explore magnetic dynamo action and helicity effects. Recent work includes advancements in magnetic gradiometry, superparamagnetic tunnel junctions, and stochastic computing hardware. Dr. Lathrop's team integrates field robotics, multisensor platforms, and AI for environmental monitoring and UXO detection, demonstrating a commitment to applied physics with societal impact.

• Turbulence Studies
• Magnetohydrodynamics (MHD)
• Quantum Fluid Dynamics
• +3 more

Simone Maria Stünzi is a Research Fellow at Humboldt-Universität zu Berlin, specializing in Arctic permafrost-vegetation interactions. She leads the BorealFrost project investigating boreal forests' role in permafrost protection. Her research integrates numerical modeling, field observations, and remote sensing to study climate feedbacks in Siberia and Canada. Education: PhD in Geography (2018-2022), Humboldt-Universität & Alfred Wegener Institute MSc Environmental Science (2016-2018), University of Zurich BSc Geography (2013-2016), University of Zurich Research Focus: She examines how boreal forests modulate permafrost stability through thermal insulation mechanisms. Key areas include permafrost-vegetation-climate couplings, thermohydrological processes, and the impacts of forest disturbances. Her work emphasizes modeling tools like CryoGrid and integrates satellite data for landscape-scale analysis. Publications Trends: Recent work highlights boreal forests' delaying effect on thermokarst formation, permafrost thaw under climate change, and modeling advancements in Siberian and Arctic ecosystems. Cross-disciplinary collaborations enhance understanding of global carbon feedbacks. Awards: Helmholtz representative for Lindau Nobel Laureates Meeting 2024 Geo.X Young Academy Research Fellow Best Presentation Award at AWI Science Days 2020 Grants & Leadership: Principal Investigator: BorealFrost (DFG Walter-Benjamin Grant, 2024-2026) MOMENT Project (AWI, 2023-2024): Led field expeditions in Greenland PermaRisk Project (AWI, 2021-2023): Analyzed thermokarst dynamics Labs & Teams: Collaborates with the Alfred Wegener Institute, CryoGrid community model developers, and international field teams in Siberia, Canada, and Mongolia.

• Permafrost Dynamics
• Boreal Ecosystems
• Numerical Modeling
• +3 more

Professor Ahmet Emre Tekeli is a faculty member in the Department of Civil Engineering at Iğdır University. He holds a PhD in Civil Engineering from Middle East Technical University (METU), focusing on hydrological forecasting using remote sensing and GIS. His research integrates satellite data with hydrological models for flood prediction, snow cover analysis, and UAV-based snow depth measurements. He has published extensively in journals like Natural Hazards and Water , and collaborates internationally on projects related to climate monitoring and environmental engineering. Education: PhD in Civil Engineering (2000-2005), METU: Thesis: 'Operational hydrological forecasting of snowmelt runoff by remote sensing and geographic information systems integration.' MSc in Civil Engineering (1997-2000), METU: Thesis: 'Integration of remote sensing and geographic information systems on snow hydrology modelling.' BSc in Civil Engineering (1993-1997), METU: Thesis: '22222.' Research Interests: Professor Tekeli’s work emphasizes satellite remote sensing applications in hydrology, flood risk assessment, snow hydrology, and climate modeling. He actively employs TRMM, AMSR-E, and GPM satellite data to improve flood forecasting and water resource management, particularly in arid and mountainous regions. Recent studies include UAV-based snow depth retrievals and climate change impacts on snow cover in Turkey. Grants & Projects: Principal Investigator: ' İnsansız Hava Aracının Kar Derinlik Ölçümlerinde Kullanımı ve Doğruluk Analizleri' (UAV snow depth measurement project). Co-Investigator: 'Antarctic sea ice thickness from space validating estimates from the laser and radar satellite altimeters with ship-based measurements.' Professional Affiliations: Member of the American Geophysical Union (AGU), European Geosciences Union (EGU), and International Association of Hydrologic Sciences (IAHS).

• Remote Sensing
• Hydrology
• Climate Modeling
• +6 more

Dr. Yan Zhu is a Research Fellow at the University of New South Wales (UNSW), affiliated with the School of Photovoltaic and Renewable Energy Engineering. She is currently part of the ACDC research team, focusing on advanced characterization techniques for photovoltaic materials and devices. Dr. Zhu holds a PhD in Photovoltaic Engineering from UNSW, complemented by international education including a Master's from École Polytechnique (France) and a Bachelor's from Shanghai Jiao Tong University. Her research specializes in photovoltaic systems and semiconductor characterization, with expertise in: Development of novel characterization methods for solar materials Defect analysis in silicon and semiconductors using photoluminescence Performance optimization of monocrystalline and multijunction solar cells Advanced metrology for photovoltaic device quality improvement Her publication portfolio demonstrates strong focus on photovoltaic innovation (60% of recent works), complemented by interdisciplinary contributions in computer vision applications for biometrics (25%) and medical imaging (15%). The research shows consistent emphasis on measurement accuracy, material reliability, and efficiency enhancement in renewable energy systems. Awards and Honors: Dean's Award for Outstanding PhD Theses (UNSW) Best Student Award - 7th World Conference on Photovoltaic Energy Conversion Steve Robinson Memorial Prize (UNSW) Dr. Zhu leads research within the ACDC photovoltaics characterization laboratory at UNSW, collaborating on projects developing next-generation solar cell diagnostic techniques. Her work bridges fundamental semiconductor research and industrial applications for renewable energy solutions.

• Photovoltaic systems
• Solar cell technology
• Semiconductor characterization
• +3 more