Find Academic Supervisors

Iosif VorovenciiView profile

Professor

• Digital Photogrammetry
• Remote Sensing
• Surveying
• +4 more

**Iosif Vorovencii** is a **Professor** at the **University Transilvania of Brașov (UNITBV)**, affiliated with the **Faculty of Silviculture and Forest Engineering**, specifically within the **Department of Forest Engineering, Forest Management Planning and Terrestrial Measurements**. His research focuses on **Digital Photogrammetry, Remote Sensing, Surveying, and Specialized Information Systems**, addressing environmental monitoring, land use changes, and geospatial analysis. He has conducted extensive studies on land cover changes, mining reclamation, forest fragmentation, and desertification risks using satellite imagery (e.g., Landsat, Sentinel). Recent work includes applications of machine learning for tree species identification and UAV-based cadaster mapping. His publications span over two decades, emphasizing interdisciplinary approaches in environmental science and geomatics. Key research themes include environmental impact assessments, urban sprawl analysis, and sustainable land management. He has contributed to academic studies on forestry education, including student resilience and retention strategies. His work often bridges technical geospatial methods with ecological and societal challenges.

Nicholas HansenView profile

Researcher

• Situation Awareness
• Autonomous Systems
• Robotics
• +3 more

Nicholas Hansen is a Postdoc at the Department of Electrical and Photonics Engineering, Technical University of Denmark (DTU), specializing in Control, Robotics and Embodied AI. His research directly contributes to UN Sustainable Development Goals through advancements in autonomous maritime systems. His core research interests include Situation Awareness (100%), Autonomous Systems (59%), Robotics (45%), Good Seamanship (45%), Confined Water Navigation (42%), Safe Navigation (41%), Maneuverability (39%), and Remote Control systems. This work bridges theoretical control engineering with real-world maritime applications, focusing on risk-aware decision-making and human factors in autonomous operations. Recent publications (2024-2025) demonstrate a cohesive research trajectory centered on quantifying maritime safety metrics, developing uncertainty-aware navigation frameworks, and creating holistic autonomous waterborne mobility solutions. His work consistently integrates AI-driven trajectory planning, multisensor data fusion, and real-time risk assessment for vessel operations in congested waterways. Scientific Awards: No awards documented in source materials. Hansen has no listed advisees but has received research funding through major DTU projects including 'Autonomous Supervision for Safe Ship Operation with Temporarily Unmanned Bridge' (2019-2023) and 'ShippingLab Autonomy' (2019-2022), where he contributed to situational awareness algorithms and collision avoidance systems. He operates within DTU's Control, Robotics and Embodied AI group, collaborating closely with the ShippingLab Autonomy consortium on GreenHopper - Denmark's flagship project for autonomous waterborne mobility, focusing on system architecture and safe navigation protocols.

Javier Marcello RuizView profile

Associate Professor

• Remote Sensing
• Image Processing
• Satellite Communications
• +3 more

Javier Marcello Ruiz is an Associate Professor at the Universidad de Las Palmas de Gran Canaria (ULPGC), affiliated with the Department of Signal and Communications and the Institute of Oceanography and Global Change (IOCAG). He holds an M.S. in Electrical Engineering from the Technical University of Catalonia (UPC) and a Ph.D. from ULPGC. His research focuses on remote sensing image processing, satellite communications, and climate change analysis, leveraging data from multiple sensors and satellites. He has authored over 35 articles in high-impact journals and served as an Associate Editor for IEEE-JSTARS and MDPI-Remote Sensing. Research Interests: Remote sensing pre-processing (radiometric, geometric, and atmospheric corrections), image segmentation, feature extraction, classification, satellite sensor analysis (AVHRR, MODIS, Landsat, etc.), and coastal/land product generation. His work addresses climate change impacts on marine and coastal environments. Publications: Recent works include studies on seagrass mapping using satellite imagery and super-resolution techniques for Sentinel-2 data. Earlier contributions focused on oceanographic thermal tracking and multi-sensor fusion. Over 100 conference presentations highlight his active engagement in international research. Affiliations: Associate Editor of IEEE-JSTARS and MDPI-Remote Sensing journals; reviewer for 35+ publications. Led numerous research projects and contracts. Active in the Canary Space Center (INTA) from 1992–2000 as Head Engineer.

Georgia FotopoulosView profile

Professor

• Geodesy
• Satellite Geodesy
• Geophysics
• +7 more

Professor Georgia Fotopoulos is a Geomatics Engineer and Professor at Queen's University's Department of Geological Science and Geological Engineering, part of the Faculty of Arts and Science. She leads the Geodesy and Geophysics Lab, focusing on geodetic data integration for Earth observation. Her work bridges satellite geodesy, positioning systems, and geophysical surveys, with applications in environmental monitoring and mineral exploration. Education: PhD (2003): Gravity Field and Geodynamics, University of Calgary Master's: Positioning and Navigation (Geomatics), University of Calgary Research Interests: Merging multi-platform geodetic data High-resolution UAV aeromagnetic surveys Height reference systems and geoid determination 3D digital outcrop modeling Autonomous navigation in GNSS-denied environments Publications: Her work emphasizes geospatial innovation, with recent focus on GRACE/GRACE-FO data analysis, UAV magnetometry standards, and urban seismic noise characterization. She co-authored Geoid Determination: Theory and Applications (2013). Awards & Affiliations: Loránd Eötvös Award Associate Editor, Geomatica Research Director, Queen's GeoEngineering Centre Advising & Labs: Supervised over 20 graduate students in geophysics/geodesy Co-directs the Geodesy & Geophysics Lab Labs conduct fieldwork globally, including Arctic surveys and mineral exploration

• Arctic Technology
• Sea Ice Mechanics
• Structural Analysis of Marine Structures
• +4 more

Ekaterina Kim is an Associate Professor in the Department of Marine Engineering at NTNU's Faculty of Engineering. Her research focuses on Arctic technology, sea ice mechanics, and structural analysis of marine structures under ice loads. She leads the Risk Group and co-founded the Arctic Hive Mind research initiative, emphasizing AI-driven solutions for Arctic navigation safety. Key affiliations include the Norwegian University of Science and Technology and collaborations with institutions like ASME and SNAME. Her work spans experimental and computational studies of ice-structure interactions, risk assessment models for ice-covered waters, and autonomous systems for environmental monitoring. Notable contributions include Bayesian network risk models for icebreaker operations and deep learning frameworks for sea ice classification under adverse weather conditions. Kim has advised over 20 master’s and PhD students on topics ranging from structural analysis of icebreakers to AI applications in maritime safety. Her interdisciplinary approach integrates mechanical engineering, data science, and environmental monitoring to address challenges in Arctic shipping and infrastructure resilience. Recent research highlights include developing a probabilistic approach to correct biases in shipborne sea ice mapping and creating material models for polycrystalline ice behavior during impacts. Her work is published in journals like Ocean Engineering , International Journal of Impact Engineering , and IEEE Sensors Journal .

• Reinforcement Learning
• Model-based Predictive Control
• Parametric Uncertainty
• +6 more

Congcong Sun is an Assistant Professor in Agricultural Biosystems Engineering, specializing in control systems for agricultural environments and water distribution networks. Her research spans predictive modeling, reinforcement learning, and sensor technology integration. Affiliation: Agricultural Biosystems Engineering Academic Rank: Assistant Professor Research Focus: Congcong Sun's work emphasizes: Reinforcement Learning for climate control in greenhouses Model-based Predictive Control (MPC) for water distribution systems Handling Parametric Uncertainty in urban drainage networks Multisensor Fusion for precision agriculture Food Security through advanced agricultural technology Collaborative Projects: Current projects include: Soft and Biodegradable Sensing Technologies for Precision Soil and Crop Management Zero-emission Indoor Horticulture with Renewable Energy Autonomous Plant Factory Light Control using Phenomics SMARTFARMING: Vertical Farming with Self-learning Control Manure Removal Robotics in Dairy Barns Scientific Contributions: Her publications focus on: Deep Learning for Temperature Prediction in Solar Greenhouses Stochastic MPC for Urban Drainage Systems Sliding Mode Control for Nonlinear Systems Safe Stabilization Techniques for Robotic Systems Data-Driven Pipe Life Prognosis in Water Networks Advising & Collaboration: Active advisor for multiple PhD and EngD candidates, collaborating with researchers like E. van Henten, P. Groot Koerkamp, and G. Kootstra on agricultural automation and water system controls.

• Underwater Robotics
• Unmanned Vehicles
• Vehicle Control
• +7 more

Martin Ludvigsen is a Professor and manager of the Applied Underwater Laboratory (AUR-Lab) at NTNU's Department of Marine Technology. He also holds an adjunct professorship at Svalbard University Centre (UNIS) and is affiliated with NTNU AMOS. His research focuses on underwater robotics, unmanned vehicles, Arctic technology, and autonomous systems. He teaches courses like TMR4120 Underwater Engineering and leads the AUR-Lab, which develops robotic platforms for marine research. Research interests include vehicle control, autonomy, acoustic navigation, and Arctic observation systems. Collaborations involve deploying robotic vehicles in the Arctic and deep-sea environments. He has advised multiple PhD students and contributed to projects on ocean mapping, environmental monitoring, and robotic sampling. Key contributions include advancing underwater hyperspectral imaging, developing adaptive sampling strategies, and improving AUV navigation. His work bridges engineering and environmental science, addressing challenges in marine exploration and resource management.

Edward MoskalView profile

Associate Professor

• Cyber Security
• Digital Forensics
• Blockchain Technology
• +5 more

Edward Moskal serves as Associate Professor of Computer & Information Sciences at Saint Peter's University, where he has taught for 18 years and previously chaired the department (2015-2018). During his leadership, student enrollment doubled from 70 to 145. He founded the Master's program in Cyber Security and established the University Cyber Security Center, Advisory Board, and internship program placing 24 students annually. His academic journey includes a B.S. from Saint Peter's University, M.M.S. from Stevens Institute of Technology, and M.S. from University of Notre Dame. Moskal's research spans cyber security, digital forensics, and workplace analytics through multimodal sensing. His work with the $7.9M IARPA MOSAIC project explored productivity measurement using wearables, smartphones, and machine learning across nine institutions. Current initiatives include managing the $100M CyberNYC workforce development project with NYC's Economic Development Council. His scholarly output focuses on integrating social media, sensor data, and behavioral modeling to predict job performance and well-being. Key contributions include establishing cyber security concentrations in undergraduate, MBA, and School of Professional Studies programs, plus the graduate Blockchain Certificate. His publications demonstrate expertise in crime analytics, personality sensing, and educational frameworks for cybersecurity centers. Moskal actively shapes industry standards through affiliations with the U.S. Secret Service Electronic Crimes Task Force and National Cyber Security Alliance. 2014 ISECON Conference Meritorious Paper Award Elected to Journal of Information System Educators Editorial Board (2014) Elected to International Journal of Cyber Research and Education Editorial Board (2018) Scholar-in-Residence at NYU (5 summers: 2005, 2008-2010, 2013) Notre Dame Fellowship developing NSA/DHS curriculum alignment (2014/2015) As Project Manager for iQ4's CyberNYC initiative, Moskal bridges academia and industry to build NYC's cybersecurity workforce capacity. His $7.9M IARPA grant managed technical infrastructure for multisensor workplace studies across nine institutions. Teaching philosophy emphasizes real-world case studies, team projects, and multimedia integration across 20+ courses including Cyber Security Capstone and Digital Forensics Lab. He maintains active industry connections through the Cybersecurity Workforce Alliance and EMC Academic Alliance. Moskal directs Saint Peter's Cyber Security Center with its dedicated Advisory Board and internship pipeline. The center partners with government agencies through the New Jersey Cybersecurity and Communications Integration Cell and National CyberWatch Center. His lab infrastructure supports hands-on learning in blockchain, digital forensics, and network security through specialized courses with $75 lab fees for equipment access.

Clem KarlView profile

Professor

• Statistical Signal Processing
• Inverse Problems
• Biomedical Signal and Image Processing
• +7 more

William Clem Karl is a Professor and Chair of the Department of Electrical and Computer Engineering at Boston University, with a joint appointment in Biomedical Engineering. He holds a Ph.D. from MIT (1991) and has been a faculty member at BU since 1995. His research focuses on statistical signal and image processing, inverse problems, biomedical imaging, and synthetic aperture radar. He currently serves as Editor-in-Chief of the IEEE Transactions on Image Processing and is a member of multiple technical committees in signal processing and biomedical engineering. Prof. Karl’s educational background includes degrees from MIT: S.B., S.M., and E.E. in Electrical Engineering and Computer Science, followed by a Ph.D. in the same field. His work bridges theoretical advancements and practical applications in imaging technologies, including computational imaging, CT artifact reduction, and multi-sensor fusion. He leads research initiatives at the Center for Information and Systems Engineering, Neurophotonics Center, and other interdisciplinary groups at BU. His recent contributions include innovations in low-dose CT imaging, deep learning for medical image reconstruction, and radar systems for remote sensing. He has organized international workshops and conferences, emphasizing collaboration across engineering disciplines. Prof. Karl’s research has been supported by grants from the National Science Foundation, Department of Defense, and industry partnerships. He advises students in interdisciplinary projects at the intersection of signal processing, machine learning, and biomedical engineering.

Mark FriedlView profile

Professor

• Remote Sensing
• Climate-Ecosystem Interactions
• Land Cover Dynamics
• +6 more

Mark Friedl is a Professor of Earth & Environment at Boston University's College of Arts & Sciences and an Affiliated Faculty member of the Institute for Global Sustainability (IGS). He serves as Director of the Center for Remote Sensing. His research focuses on land-atmosphere interactions, land cover dynamics, and remote sensing applications. He holds a PhD in Remote Sensing and Microclimatology from UC Santa Barbara and a BSc in Physical Geography and Computer Science from McGill University. Key research areas include global land cover mapping, vegetation phenology monitoring, and ecosystem responses to climate change. He leads NASA's MODIS Land Science Team and the Multi-Source Land Imaging Science Team. Notable contributions include developing the MODIS land cover product and advancing satellite-based phenology analysis. Awards: Bullard Fellow at Harvard University, Erasmus Mundus Visiting Scholar Editorial Roles: Associate Editor for Remote Sensing of Environment, Journal of Geophysical Research, Biogeosciences Scientific Leadership: Co-Chair of the Land Process Validation Working Group (CEOS) His work bridges satellite data analysis with ecological modeling, addressing challenges in global sustainability and environmental monitoring. Active in international science collaborations, he emphasizes interdisciplinary approaches to understanding Earth system processes.

• Cartography
• Surveying Techniques
• Geomatics Engineering
• +5 more

Assoc. Prof. Dr. Serdar Bilgi is an academic at Istanbul Technical University (ITU), affiliated with the Civil Engineering Faculty and the Department of Geomatics Engineering . He holds the rank of Associate Professor and has served in leadership roles such as Head of Department and Vice Dean at ITU. His research focuses on Cartography , Surveying Techniques , and interdisciplinary applications of geomatics, including 3D modeling, deformation monitoring, and geospatial analysis. Education : PhD in Geomatics Engineering, ITU (2003–2012) MSc in Geodesy and Photogrammetry Engineering, ITU (1997–2001) BSc in Geodesy and Photogrammetry Engineering, ITU (1997–2001) Research Interests : Prof. Bilgi’s work spans cultural heritage documentation (using UAVs and 3D modeling), deformation monitoring of dams and fault zones via GPS and geodetic methods, and GIS applications in urban planning and disaster management. He has led projects on topics like laser scanning for endoscopic imaging and integrating historical data into modern systems. Publications : His recent work includes studies on visual localization algorithms, dam deformation analysis, and spatial patterns in Istanbul. These reflect his expertise in computational geomatics, sensor fusion, and geophysical modeling. Awards : BİDEB 2214 International Research Scholarship (TUBITAK, 2010) Grants & Projects : He has executed over 15 research projects, including: Deformation Monitoring of Atatürk Dam (2006–2013) – Geodetic risk assessment Integration of 3D UAV Models into GIS (2019–2024) – Heritage site preservation CBS Sel Heyelan Hasar Tahmini (2009–2017) – Flood risk modeling Labs/Teams : Though not explicitly named, his projects involve collaboration with ITU’s geomatics and engineering teams, focusing on fieldwork and computational modeling.

Dirk PflugmacherView profile

Researcher

• Remote Sensing
• Forest Ecology
• Forest Disturbance Ecology
• +4 more

Dr. Dirk Pflugmacher is a Senior Scientist at Humboldt-Universität zu Berlin, specializing in remote sensing applications for ecological research. His work focuses on forest ecology, disturbance dynamics, and land use science, supported by advanced satellite data analysis techniques. He holds a PhD in Forest Science from Oregon State University (2011), an MSc from the same institution (2007), and a Diploma in Forestry from the University of Applied Sciences Eberswalde (2005). Research interests include remote sensing of forest cover, carbon cycle processes, time series analysis of satellite imagery, and big data methodologies. His studies often integrate Sentinel-1/2, Landsat, and LiDAR data to map ecological patterns and disturbances at regional to global scales. Notable projects involve national tree species mapping in Germany and quantifying fire severity impacts using bi-temporal unmixing. Publications highlight his expertise in vegetation phenology, biodiversity monitoring, and land-use change detection. Recent work examines drought effects on carabid beetle populations in beech forests and the robustness of spectral-temporal metrics across Landsat archives. Dr. Pflugmacher collaborates on large-scale environmental monitoring initiatives, leveraging multisensor data fusion and machine learning to advance ecological understanding. His contributions bridge remote sensing technology and applied environmental science, supporting policy decisions and conservation efforts.

• Geomatics
• Digital Photogrammetry
• UAV Photogrammetry
• +12 more

Andrea Maria Lingua is a Full Professor of Geomatics at the Department of Environmental, Land and Infrastructure Engineering (DIATI), Polytechnic University of Turin. He is a founding member of the Interdepartmental Center for Service Robotics (PIC4SeR) and leads the Geomatics Lab at DIATI. He is actively involved in numerous national, European, and commercial research projects and serves on multiple scientific committees and editorial boards. Education: Ph.D. in Geodetic and Topographic Sciences, Polytechnic University of Milan (1998) Laurea in Civil Engineering, Polytechnic University of Turin (1994) His research focuses on geomatics, digital photogrammetry, UAV-based mapping, hyperspectral imaging, and digital humanities. He applies advanced statistical and AI-driven methods to data fusion, visual odometry, and environmental and cultural heritage monitoring. His work bridges civil engineering, remote sensing, and computational modeling. The recent publications highlight a strong trend in environmental monitoring (e.g., seagrass mapping, blue carbon), cultural heritage documentation (underwater photogrammetry), and precision agriculture using UAVs and spectral data. His work integrates photogrammetry, GIS, and machine learning for sustainable development and climate action. Scientific Awards: Best Poster Award, CIPA Symposium (2001) Premio Miglior Poster, ASITA Conference (2005, 2008) CCB Paper Awards, Politecnico di Torino (2010, 2012) Sensors Best Paper Award (2013) He has supervised multiple PhD students in urban development, civil engineering, and architectural heritage. His research is supported by grants from EU (HERITALISE, ARCHIM3DES), PNRR, PRIN, and regional programs. He leads projects on drone applications in agriculture, infrastructure monitoring, archaeological surveys, and environmental protection. He is a member of the Italian Society of Photogrammetry and Surveying (SIFET), where he served as President (2019–2022), and represents Italy in the International Society of Photogrammetry and Remote Sensing (ISPRS). He also contributes to journals such as Applied Geomatics and the Bulletin of the Italian Society of Photogrammetry and Topography .

• Nonlinear Functional Analysis
• Calculus of Variations
• Partial Differential Equations
• +5 more

Dr. Joan Duran Grimalt is an Associate Professor at the University of the Balearic Islands (UIB) , affiliated with the Department of Mathematical Sciences and Computer Science . He is a member of the Mathematical Image Analysis (TAMI) research group and Institute for Community Code Computing Applications (IAC3) . His work bridges nonlinear functional analysis , calculus of variations , and deep learning for applications in image processing and computer vision . PhD in Mathematics (2016) from UIB MSc in Advanced Mathematics and Mathematical Engineering (2011) from UPC BSc in Mathematics (2010) from UIB His research integrates partial differential equations , convex optimization , and deep unfolding architectures to solve problems in satellite imaging , hypersharpening , and low-light image enhancement . Recent work focuses on nonlocal regularization, multi-head attention mechanisms, and model-guided neural networks. He has led two research projects and collaborated with institutions such as the French National Centre for Space Studies (CNES) and the Balearic Islands Oceanographic Centre . Key contributions include: State-of-the-art methods for pansharpening and hypersharpening using nonlocal modules Unfolding frameworks combining variational models with deep learning Retinex-based enhancement techniques for low-light imaging He has supervised PhD students Daniel Torres and Francesc Alcover and taught courses like Partial Differential Equations , Fundamentals of Mathematics , and Mathematical Models for Image Restoration across multiple degrees including Mathematics, Computer Engineering, and Chemistry. His personal website provides further details.

• Autonomous Systems
• Unmanned Ground Vehicles
• Terrain Traversability
• +7 more

Semih Beyçimen is a Lecturer in the Department of Control and Automation Engineering at Istanbul Technical University, College of Engineering. His research focuses on autonomous systems, robotics, and mechanical dynamics, with applications in unmanned ground and aerial vehicles. His research interests include: Autonomous Navigation and Control Sensor Fusion (LiDAR, Vision) Terrain Traversability for UGVs Structural Vibration Analysis End-to-End Learning for Robotics The recent publications (2020–2024) reflect a strong trend in autonomous vehicle perception and navigation, combining computer vision and point cloud data, along with fundamental mechanical modeling of cracked structures. His work appears in IEEE, AIAA, and international engineering journals. Scientific contributions include: h-index of 30 (Scopus) 4 research outputs in 5 years International collaborations (UK, Russia) He advises no publicly listed students and participates in research on intelligent systems and structural mechanics. No grant or award information is available. He is actively contributing to the advancement of autonomous systems and mechanical modeling.