Find Academic Supervisors

• Signal Processing
• Image Processing and Computer Vision
• Machine Learning Applications
• +5 more

Professor Zdenka Babić is a full professor at the Department of General Electrical Engineering, Faculty of Electrical Engineering, University of Banja Luka. With a prolific research career spanning over two decades, she has established herself as a leading expert in signal processing, computer vision, and biohybrid systems. Her work bridges electrical engineering with biological applications, particularly in the innovative field of using honeybees for landmine detection. Professor Babić's research interests focus on signal processing applications, image analysis, machine learning, and embedded systems. Her pioneering work in biohybrid systems has gained international recognition, especially her research on using honeybees as biosensors for explosive detection. She has led numerous research projects exploring the intersection of electrical engineering and biological systems, developing sophisticated monitoring platforms for bee activity and environmental parameters. Her recent publications demonstrate a strong focus on practical applications of computer vision and signal processing, with emphasis on UAV video analysis, sensor fusion, and IoT-based monitoring systems. The research shows a clear trajectory toward increasingly sophisticated biohybrid systems that combine traditional engineering approaches with biological sensing mechanisms. Professor Babić has secured significant research funding from various national and international sources, including NATO Science for Peace and Security, European Commission programs, and the Ministry for Science, Technology Development and Higher Education of Republika Srpska. Her projects consistently involve interdisciplinary collaboration across engineering and biological sciences. She has been instrumental in developing electronic systems for remote monitoring of environmental parameters in bee yards, creating novel methods for honeybee counting and activity tracking, and establishing frameworks for biohybrid systems that leverage natural biological processes for security applications. Her work on bee-based landmine detection represents a unique intersection of entomology, electrical engineering, and humanitarian demining efforts.

• Photogrammetry
• Remote Sensing
• Measurement Data Analysis
• +2 more

Fatemeh Alidoost is a Lecturer at the Department of Photogrammetry and Geoinformatics at HFT Stuttgart. Her teaching areas include Photogrammetry, Remote Sensing, Measurement Data Analysis, Computer Vision, and Deep Learning. Her research focuses on 3D reconstruction techniques, deep learning applications in geospatial data analysis, and UAV-based photogrammetry for infrastructure and urban mapping. She has contributed to advancements in automated building detection, bridge modeling, and tunnel inspection systems. Her recent publications emphasize integrating convolutional neural networks with photogrammetric data for damage detection, semantic segmentation of point clouds, and multiscale analysis of remote sensing imagery.

Emmanuel CledatView profile

Associate Professor

• Photogrammetry
• Sensor Calibration
• Risk Measurement for Cyclists
• +4 more

Emmanuel Cledat is an Associate Professor of photogrammetry at the National Institute of Geographic and Forest Information (IGN) and lecturer at the ENSG (National School of Geographic Sciences), where he teaches courses in sensor technology, mathematics for photogrammetry, and applied photogrammetry. As a member of the UMR Lastig research unit and ACTE research team, he conducts interdisciplinary work spanning photogrammetry, geomatics, and transportation safety. His research interests focus on photogrammetry , sensor calibration , and measurement of risks faced by cyclists . Dr. Cledat specializes in macro-photogrammetry of small objects, drone-based mapping systems, and GNSS-denied environment navigation. His methodological expertise includes camera calibration models, 3D reconstruction, and fusion of photogrammetric and LiDAR data. Dr. Cledat's publication record demonstrates consistent contributions to photogrammetry and geospatial sciences since 2016, with recent work exploring AI applications in geomatics and historical bridge modeling. His research shows a clear trajectory from foundational work on drone photogrammetry calibration to more applied projects addressing transportation safety and cultural heritage preservation. ISPRS Best Young Author Award 2020 As principal investigator, Dr. Cledat leads the CycloSafe project which quantifies cycling risks using LIDAR-equipped bicycles, and the EntrePonts project focused on 3D modeling of historical bridge models from the 17th-19th centuries. His teaching portfolio spans undergraduate and graduate courses in photogrammetry fundamentals, underwater photogrammetry, and climate change workshops. His laboratory work centers around the UMR Lastig research unit, with projects involving drone mapping systems, 3D TOF camera calibration, and photogrammetric fieldwork methodologies for both small objects and large-scale environmental mapping.

Bénédicte FruneauView profile

Associate Professor

• Radar Interferometry
• Geophysics
• Remote Sensing
• +4 more

Bénédicte Fruneau is an Associate Professor at Université Gustave Eiffel and a member of the ACTE research team within LASTIG (Laboratory of Studies and Research in Geomatics). She serves as co-coordinator of the Master 2 Geographical Information, Spatial Analysis and Remote Sensing program. Her expertise lies in radar interferometry for ground deformation monitoring and seismic cycle studies. Research Interests : DInSAR and MTInSAR techniques Seismic cycle deformation analysis Urban and suburban displacement monitoring Residual mining subsidence characterization Publications focus on satellite radar interferometry applications for glacier monitoring , forest phenology , anthropogenic deformation , and post-mining subsidence . Her work spans geophysics, remote sensing, and geotechnical risk assessment across France, Taiwan, Mexico, and India. Education : Habilitation (HDR) in Radar Interferometry, Université Paris-Est (2011) PhD in Geophysics, Université Paris 7 (1995) MSc in Signal/Image/Parole, Grenoble INP (1991) Electrical Engineering degree, Grenoble INP (1991)

Thomas WiemannView profile

Professor

• Autonomous Robotics
• 3D Mapping
• SLAM
• +7 more

Thomas Wiemann is a temporary Professor for Autonomous Robotics at Osnabrück University and a researcher at the German Research Center for Artificial Intelligence (DFKI) , group Kooperative und Autonome Systeme . He has been active since 2007, focusing on 3D mapping, SLAM, and semantic interpretation of sensor data for robotics. He received his Dr. rer. nat. in 2013 and his habilitation in 2020. His work is widely recognized, with awards such as the Karman Innovation Award (2007) and the Intevation Free Software Award (2014). Education: Habilitation in Computer Science, Osnabrück University (2020) Doctorate (Dr. rer. nat.) in Computer Science, Osnabrück University (2013) M.Sc. in Physics and Computer Science, Osnabrück University (2007) B.Sc. in Physics and Computer Science, Osnabrück University (2005) Research Focus: Thomas Wiemann's research is centered on autonomous robotics , particularly in 3D mapping , SLAM , and semantic environment understanding . His work includes the automatic generation of polygonal maps from point cloud data, large-scale 3D reconstruction, hyperspectral data integration, and hardware-accelerated SLAM systems using FPGAs and GPUs. He has developed open-source tools like the Las Vegas Reconstruction Toolkit (LVR) and contributed to ROS packages for 3D mapping and navigation. Scientific Awards: Karman Innovation Award (2007) for his master’s thesis Intevation Free Software Award (2014) for his contributions to open-source software Advising & Grants: He has supervised over 60 bachelor’s and master’s theses, primarily in the areas of 3D mapping, SLAM, and robotics systems. His projects include SOILAssist (2019–2021), focusing on sustainable agriculture using robotics, and 3DinOS (2016–2017) for 3D documentation of historical buildings. He has also worked on DFG-funded projects like RoboRithmics . Labs & Teams: He is part of the Knowledge Based Systems Group at Osnabrück University and collaborates with the DFKI Robotics Innovation Center . His lab focuses on advanced 3D perception, semantic mapping, and energy-efficient robotic systems.

Rainer HerpersView profile

Professor

• Computer Vision
• Face and Gesture Recognition
• Computer Graphics
• +7 more

Prof. Dr. Rainer Herpers is a full Professor at the Department of Computer Science within the Graduate Institute at Hochschule Bonn-Rhein-Sieg University of Applied Sciences . He serves as Scientific Director of the Graduate Institute and Director of the Institute of Visual Computing (IVC), leading interdisciplinary projects that bridge Computer Vision , Human Perception , and Real-Time Systems . His research explores gravitational effects on spatial orientation, serious games for medical training, and FPGA-based computer vision solutions. Research Interests: Computer Vision and Machine Vision Face and Gesture Recognition Artificial Neural Networks Robotics and Real-Time Systems Medical Informatics Usability in Work Safety Article Trends: Recent work focuses on gravity perception (2023-2024), neural network applications in environmental monitoring, and machine learning for network traffic analysis. Collaborations with York University and DLR highlight his interdisciplinary approach. Scientific Awards: Best Paper Award, IBM Centre for Advanced Studies in Computer Science (2020) Labs: Leads the Computer Vision Lab (C065) and Immersive Visualization Lab (C061) , developing systems like the FIVIS Bicycle Simulator and SimuBridge platform for education and safety evaluation.

• Virtual Reality
• Multimedia Systems
• Network Protocols
• +7 more

Mario Montagud Climent is a researcher at Centrum Wiskunde & Informatica (CWI) , focusing on virtual reality (VR), extended reality (XR), and multimedia systems. His work bridges network protocols, human-computer interaction, and immersive technologies. Key contributions: Multi-party holographic meetings, Edge rendering architectures, and XR quality of experience (QoE) optimization Collaborations: Sergi Fernández, Pablo César, Gianluca Cernigliaro, and other international experts in VR/XR Research spans network programmability for adaptive XR, holographic communications , and explainable AI for spatial audio analysis. Publications highlight QoE assessment and low-cost immersive solutions . Recent articles address real-time multiuser systems, neural 3D reconstruction for UAVs, and 6G federation concepts. His work integrates 5G/6G technologies with applications in cultural heritage and social VR.

David James DeleneView profile

Research Professor

• Cloud Physics
• Atmospheric Aerosols
• Airborne Measurements
• +7 more

David James Delene is a Research Professor in the Department of Atmospheric Sciences at the University of North Dakota , with a secondary appointment as Aerospace Research Fellow at the John D. Odegard School of Aerospace Sciences. His expertise spans Cloud Physics , Atmospheric Aerosols , and Airborne Measurements , with a focus on Scientific Programming and Open Source Software development. He has taught advanced courses in Atmospheric Chemistry and Measurement Systems since 2006 and led significant research initiatives including the IMPACTS and FATIMA field campaigns. Education : Ph.D. in Atmospheric Science (University of Wyoming), MS in Geophysics (Michigan Tech), BS in Applied Physics (Michigan Tech) Research Interests center on airborne measurement systems, cloud microphysics, aerosol dynamics, and machine learning applications in meteorology. He develops open-source tools like ADTAE and adpaa_readplot_ccncdata for atmospheric data analysis. His work bridges Remote Sensing with Statistical Analysis to improve weather modification techniques. Scientific Awards include: UND's Spirit Faculty Achievement Award (2014) Golden Remer Awards (2007, 2013) Biggest Techie Award (2009) Delene advises both undergraduate capstone projects and graduate students in Atmospheric Sciences, with recent master's advisees including Kendra Sand (2024) and Joseph O'Brien (2023). He manages the Ballooning Laboratory and maintains the department's Atmospheric Sciences Wiki , contributing to UNIDATA and NASA EPSCoR programs.

Carlos Rubio-MedranoView profile

Assistant Professor

• Cybersecurity
• Access Control
• Authorization Systems
• +7 more

Carlos Rubio-Medrano is an Assistant Professor of Computer Science specializing in Cybersecurity at Texas A&M University-Corpus Christi's College of Science and Engineering. He leads the Cybersecurity Research and Innovation Laboratory (CSRIL) and has established himself as a prominent researcher in access control, authorization systems, and cyber-physical security. Dr. Rubio-Medrano earned his Ph.D. in Computer Science from Arizona State University (2016), following an MS from The University of Texas at El Paso (2008) and BS from Instituto Tecnologico de Chihuahua II (2005). His research focuses on the intersection of cybersecurity and software specification, verification, and validation, with particular expertise in access control models and their implementation at the source-code level. His work spans multiple domains including mobile security, industrial control systems, drone security, and energy delivery systems. He has secured substantial research funding including a $500,000 site award as part of the $10 million CYBER-CARE Transportation Cybersecurity Center and multiple NSF grants totaling over $2 million for projects related to zero-trust access management, drone security, and high-performance computing infrastructure. His recent publications demonstrate a strong trajectory in top-tier security venues including IEEE Security & Privacy (S&P), USENIX Security, and ACM conferences. His research shows an evolving focus from traditional access control systems to emerging challenges in cyber-physical systems, reflecting the expanding scope of cybersecurity threats in interconnected environments. Cybersecurity Fellow by the Computing Alliance of Hispanic Serving Institutions (CAHSI), December 2024 Dr. Rubio-Medrano actively mentors students, with multiple current PhD candidates and numerous past MS and BS students who have completed their degrees under his supervision. His teaching portfolio includes graduate courses in Advanced Software Engineering, Computer Forensics, and Advanced Information Assurance. He has been featured in TAMU-CC's 'Why I Teach' series and has received positive student evaluations highlighting his teaching excellence. His laboratory, CSRIL, focuses on innovative approaches to cybersecurity challenges, particularly in authorization frameworks for emerging technologies and mission-critical cyber-infrastructures.

• Marine Sciences and Technology
• Oceanography
• Geotechnical Engineering
• +3 more

Cem GAZİOĞLU is a Professor at Istanbul University , affiliated with both the Institute of Marine Sciences and Management and the Faculty of Architecture (Department of Architecture). His academic career spans over two decades, with prior appointments at Istanbul Kültür University (2005-2013) and technical institutions. He holds a Doctorate in Marine Environment-Coastal Engineering (2001) and postgraduate degrees in Geomatics Engineering (1995, 1993). Research areas include Marine Sciences , Oceanography , Remote Sensing , and Environmental Pollution . Doctorate: Istanbul University , Institute of Marine Sciences and Management, Department of Marine Environment-Coastal Engineering (2001) Postgraduate: Istanbul Technical University , Geodesy and Photogrammetry Engineering Program (1995) Undergraduate: Istanbul Technical University , Geodesy and Photogrammetry Engineering (1993) His work focuses on coastal vulnerability , marine pollution , ship emissions , and climate change impacts on coastal zones. He employs remote sensing , GIS , and deep learning for coastal monitoring and environmental risk assessment. Recent studies include pharmaceutical residues in Arctic waters , antifouling paint biocides in the Sea of Marmara , and coastal inundation modeling . Publications highlight trends in satellite-derived bathymetry , coastal risk assessment , and maritime transport emissions . He has advised 38 graduate theses on topics like decarbonization in shipping , deep learning for coastal analysis , and marine environmental policy . His managerial roles include Director of the Institute and Member of the Senate at Istanbul University.

• Emergency cartography
• Geographic data
• Digital photogrammetry
• +7 more

Dr. Fabio Giulio Tonolo is an Associate Professor at the Politecnico di Torino , Department of Architecture and Design (DAD), specializing in geomatics and remote sensing for urban and environmental applications. His work bridges emergency cartography , UAV photogrammetry , and climate change monitoring through advanced geospatial techniques. Academic Roles : Teaching Satellite Remote Sensing and GIS and Advanced Geospatial Data Management at various cycles of the PhD in Urban and Regional Development Research Leadership : Scientific Director for projects like MOHYCAM (hydrogeological hazards) and EMERITUS (environmental crimes), with collaborations on glacier monitoring and cultural heritage preservation Scientific Affiliations : Secretary of AIT - Italian Remote Sensing Association (2019-2026), former President of IWG-SEM, and active member of ISPRS working groups Key Research Themes : Multi-source geospatial data integration, 3D modeling for heritage conservation, satellite-based climate impact analysis, and emergency mapping protocols His 15 most recent publications focus on remote sensing , glacier monitoring , and cultural heritage digitization , with methodologies spanning from UAV LiDAR to AI-based image segmentation . Dr. Tonolo has received ASITA Federation Best Poster Awards and contributes to editorial boards like ISPRS International Journal . He supervises PhD students in Urban and Regional Development, leads commercial projects such as 3D metric surveys in Assisi, and participates in international conferences including GISTAM and Gi4DM. His work aligns with SDG 11 (Sustainable Cities) and ERC PE10_14 (Earth Observations).

Anu BourgeoisView profile

Associate Professor

• Health Informatics
• Security and Privacy
• Wireless Networks
• +2 more

Anu Bourgeois is an Associate Professor in the Department of Computer Science at Georgia State University. She holds a Ph.D. in Electrical and Computer Engineering from Louisiana State University. Her research spans health informatics, security and privacy, wireless and sensor networks, and computer science education. Dr. Bourgeois has served as general co-chair for the IEEE International Parallel and Distributed Processing Symposium (2020, 2023) and program co-chair for the IEEE International Conference on Internet of Things (2019). Her technical contributions include developing energy-efficient MAC protocols for sensor networks, privacy protection frameworks for context-aware services, and mobile health interventions for opioid use disorder. In computer science education, she explores bridge programs for underrepresented groups, TA training methods, and visualization of career pathways. Current projects include cosmic ray detection systems, natural language-controlled UAVs, and animation workflow innovations.

Tim TaltyView profile

Professor

• Wireless Communications
• Communication Systems
• Signal Processing
• +4 more

Tim Talty is a Collegiate Professor and Director of Admissions for the Master of Engineering Program at Virginia Tech's Bradley Department of Electrical and Computer Engineering. He holds a Ph.D. from the University of Toledo (1996) and a B.S. from Trine University (1987). His research focuses on wireless communications, signal processing, and intra-vehicle sensor networks, with particular emphasis on physical layer security and mobile communications. Key research areas include lidar systems, vehicular antennas, and software-defined radio architectures. He has contributed to innovations in automotive communication networks, including UWB localization and transparent antenna fabrication. His work bridges theoretical advancements with practical applications in autonomous vehicles and telematics. Notable awards include the General Motors ‘Boss Kettering’ Award for Innovation (2019) and the Commander's Award for Civilian Service from the U.S. Army. He has served as an ABET program evaluator and actively participates in industry collaborations, including leadership roles in IEEE conferences and automotive R&D initiatives. Recent publications emphasize energy-efficient computing for ADAS, lidar miniaturization, and 5G vehicle connectivity. His research trends highlight interdisciplinary approaches to solving challenges in vehicular communication, sensor fusion, and autonomous systems.

Xiaowei WuView profile

Assistant Professor

• Statistical Genetics
• Bioinformatics
• Bayesian Statistics
• +3 more

Xiaowei Wu is an Assistant Professor in the Department of Statistics at Virginia Polytechnic Institute and State University, part of the College of Science. He holds a Ph.D. in Statistics from Rice University (2010), and M.S. and B.S. degrees in Electrical Engineering from Wuhan University, China (2003 and 1997, respectively). His research focuses on statistical genetics, bioinformatics, Bayesian methods, and stochastic population dynamics. Key areas include mutation rate estimation, epigenetic analysis, and computational tools for genomic data. Teaching includes courses like Advanced Statistical Genomics and Probability & Statistics for Electrical Engineers. His work bridges theoretical statistics with applications in genetics, neurology, and environmental health. Notable contributions include developing simulation frameworks (e.g., SimuBP) and methodologies for analyzing genetic and epigenetic data. Current projects address antimicrobial resistance, neurological disorder genetics, and machine learning in clinical prediction. Publications span journals in stochastic analysis, genetics, and bioinformatics, with emphasis on branching processes, mutation dynamics, and genomic variant detection. He collaborates across disciplines to advance quantitative methods in life sciences and healthcare.

Kirti RajagopalanView profile

Assistant Professor

• Environmental Engineering
• Agricultural Resource Management
• Water Resource Management
• +3 more

Kirti Rajagopalan is an Assistant Professor in the Department of Biological Systems Engineering at Washington State University (WSU), part of the College of Agricultural, Human, and Natural Resource Sciences. Her research focuses on transdisciplinary approaches to address water and agricultural resource challenges through systems modeling, integrating engineering, economics, and environmental science. She leads the Agricultural, Natural and Human Systems Modeling Group, which develops tools for climate adaptation, water resource management, and crop resilience. Her work emphasizes leveraging satellite imagery, machine learning, and data-driven methods to solve real-world problems in precision agriculture and environmental sustainability. Key research interests include climate change impacts on crop water demand, precision agriculture technologies (e.g., SoilScan mobile app), and sustainable water management strategies. Dr. Rajagopalan collaborates widely with experts in entomology, statistics, and agronomy to ensure interdisciplinary problem-solving. Her contributions include advancing snow-water equivalent prediction models, evaluating seasonal forecast utility for agricultural decisions, and assessing vulnerabilities in the Columbia River Basin under climate change scenarios. Her recent projects highlight innovative applications of AI, such as the IGraSS framework for infrastructure network identification via satellite imagery, and UAV-based digital trait analysis for wheat yield prediction. She also investigates legal frameworks like water right forfeiture and the economic implications of agricultural water trading. Dr. Rajagopalan’s research has been supported by high-profile initiatives, including WSU’s leadership in a $20M NSF-funded AI institute for agriculture. Notably, her work bridges science and practice through public engagement, policy analysis, and stakeholder dialogues focused on the food-energy-water nexus. She emphasizes actionable solutions for resilient agricultural systems in the face of climate uncertainty, leveraging both technical and institutional innovations.