جست‌وجوی استاد و پژوهشگر

Trym Vegard Haavardsholmمشاهده پروفایل

مدرس

• Computer Vision
• Machine Learning
• Robotics
• +۳ مورد دیگر

Trym Vegard Haavardsholm is a 20% part-time Lecturer at the University of Oslo (UiO) within the Section for Autonomous Systems and Sensor Technologies. He also serves as Principal Scientist at the Norwegian Defence Research Establishment (FFI) and is a PhD candidate at the Department of Engineering Cybernetics, NTNU. His research focuses on computer vision, machine learning, robotics, and image analysis, with a particular emphasis on multispectral imaging systems and unmanned aerial vehicles (UAVs). Haavardsholm has contributed to advancements in sensor technologies for tactical reconnaissance, autonomous navigation, and real-time data processing. His work spans applications in defense, environmental monitoring, and emergency response systems. Research Interests Haavardsholm’s research integrates interdisciplinary approaches to develop innovative sensor systems and algorithms. Key areas include compact multispectral imaging for small UAVs, in-operation camera calibration, and anomaly detection in hyperspectral data. His contributions emphasize practical applications such as urban feature classification, collaborative indoor navigation, and bioaerosol detection. His work bridges theoretical computer science with applied engineering, addressing challenges in autonomous systems and sensor fusion. Publications His publications highlight trends in multispectral sensor design, UAV imaging, and real-time georeferencing. Recent work includes compact sensor systems for tactical use and advancements in pushbroom image rectification. Earlier research explored band selection algorithms for target detection and GPU-accelerated anomaly detection. Professional Roles As a lecturer, Haavardsholm contributes to academic supervision and teaching in autonomous systems. His dual role at FFI and UiO reflects his commitment to translating academic research into practical defense and civilian applications. His PhD candidacy at NTNU underscores his ongoing academic engagement in engineering cybernetics.

Mehmetcan Akbulutمشاهده پروفایل

استاد پژوهشی

• Photonics
• Directed Energy
• Remote Sensing
• +۱۲ مورد دیگر

Mehmetcan Akbulut is an Associate Research Professor at the Wyant College of Optical Sciences , The University of Arizona. His office is located in GCRB 447. Research Focus: Photonics subsystems and systems development with applications in Directed Energy, Remote Sensing, Quantum Optical Networks, Optical Computing, Ultrafast & RF Photonics, and Biophotonics. Key Research Areas: High-energy fiber lasers, coherent beam combining, LIDAR systems, quantum communications, optical computing architectures, and photonic biosensors. Recent publications highlight advancements in injection-locked fiber lasers, SBS suppression techniques, optical Ising machines, and frequency comb applications. His work intersects academic and applied research through collaborations like the Center for Quantum Networks and CIAN projects. The Photonics & Systems Laboratory explores technologies for Directed Energy, wind shear sensing, distributed fiber sensing, and AI-driven biomedical imaging systems.

Jeremy P. Bosمشاهده پروفایل

استادیار

• Atmospheric Optics
• Statistical Optics
• Quantum Optics
• +۵ مورد دیگر

Jeremy P. Bos is an Assistant Professor in the Department of Electrical and Computer Engineering at Michigan Technological University. He serves as a Faculty Advisor for the Robotic Systems Enterprise and is affiliated with professional societies including SPIE (since 2011), OSA (since 2003), and IEEE. His work bridges engineering and optical sciences, with a focus on imaging through turbulent environments. PhD, Electrical Engineering (2012), Michigan Technological University MS, Electrical Engineering (2003), Villanova University BS, Electrical Engineering (2000), Michigan Technological University Dr. Bos’s research spans atmospheric optics , statistical optics , and quantum optics , with applications in image and signal processing , autonomous vehicles , and industrial automation . His work addresses challenges in imaging through atmospheric turbulence, including speckle noise mitigation, phase compensation, and adaptive optics. He also investigates machine intelligence for optimizing reconstruction algorithms. Recent publications highlight trends in non-Kolmogorov turbulence modeling , multiframe blind deconvolution (MFBD) , and hybrid adaptive optics systems . His studies focus on long horizontal-path imaging, anisoplanatic conditions, and performance metrics for turbulence correction. Scientific recognition includes: NRC Research Associateship Program Award CLEO 2012 Maiman Student Paper sEMI-Finalist Dr. Bos previously led the Paulding Lights Activity and contributed to SPIE student leadership committees. His expertise extends to electromagnetic compatibility (EMC) and RF system design , informed by industrial roles at General Motors, Johnson Controls, and Lockheed Martin.

Richard K. Martinمشاهده پروفایل

استاد

• Radio Tomographic Imaging
• Laser Radar (LADAR)
• Signal Processing
• +۷ مورد دیگر

Richard K. Martin is a Professor in the Department of Electrical and Computer Engineering at the Air Force Institute of Technology (AFIT), Wright-Patterson Air Force Base, OH. He has been a faculty member since 2004 and holds a Ph.D. in Electrical and Computer Engineering from Cornell University. Education: Ph.D., Electrical and Computer Engineering, Cornell University, 2004 M.S., Electrical and Computer Engineering, Cornell University, 2001 B.S., Electrical Engineering, University of Maryland, 1999 (Summa Cum Laude) B.S., Physics, University of Maryland, 1999 (Summa Cum Laude) His research focuses on radio tomographic imaging, laser radar (LADAR), signal processing, and engineering education . He has made significant contributions to channel equalization, wireless localization, and polarimetric LiDAR systems. His work bridges theoretical signal processing with practical defense and sensing applications. The recent articles highlight a strong trend in optical remote sensing, spectropolarimetry, and advanced signal processing for defense and surveillance. His work increasingly integrates machine learning, sensor fusion, and real-time imaging under atmospheric distortions. Scientific Awards: 2013 Air Force Outstanding Science and Engineering Educator Award Eta Kappa Nu Instructor of the Year (twice) Instructor of the Quarter (three times) Dr. Martin has led numerous student research initiatives, including the COEUR program to enrich undergraduate research. He has secured research funding in areas such as RF sensing, LADAR, and wireless security. He holds eight patents and has published extensively in IEEE journals and conferences. He leads research in the development of rapid Mueller matrix polarimeters, spectropolarimetric LADAR, and radio tomographic imaging systems , often in collaboration with students and defense labs.

Stephen C. Cainمشاهده پروفایل

دانشیار

• Optical Engineering
• Image Processing
• Remote Sensing
• +۷ مورد دیگر

Dr. Stephen C. Cain is an Associate Professor in the Department of Electrical Engineering at the Air Force Institute of Technology (AFIT), located at Wright-Patterson Air Force Base, Ohio. He is affiliated with the Graduate School of Engineering and Management and conducts research in optical engineering, image processing, and space-based sensing systems. Education: Ph.D. in Electrical Engineering, University of Dayton (2001), with focus on Image Processing and Remote Sensing M.S.E.E., Michigan Technological University (1993), funded by AFRL/DE assistantships B.S.E.E., University of Notre Dame (1992), funded by AFROTC Scholarship Argonne National Lab Student Exchange Program (1992), including study at the Mexican Nuclear Research Institute His research interests include photodetector calibration , space object detection , image restoration , and optical system modeling . He has developed algorithms for blind deconvolution, phase error reduction, and parallax-based detection, contributing significantly to remote sensing and defense modeling. His work bridges theoretical optics and practical aerospace applications, particularly in satellite guidance and LADAR systems. The recent publications (2019–2024) reflect a consistent focus on optical sensing , image processing under low-light conditions , and statistical calibration methods . These works span disciplines such as astronomy, defense modeling, photonics, and signal processing, showcasing interdisciplinary innovation in photonic systems and space surveillance. Scientific Awards: No awards explicitly mentioned in the provided text. Advising and Grants: While no named students are listed, as an Associate Professor at AFIT, Dr. Cain likely supervises graduate research in electrical engineering and optics. His doctoral work was supported by an NSF Research Assistantship, and his master’s by AFRL/DE funding, indicating a long-standing connection with defense and federal research support. Current research appears to be aligned with Air Force mission needs in space domain awareness. Labs and Teams: Though specific lab names are not provided, Dr. Cain’s research is likely conducted within AFIT’s electro-optics or remote sensing laboratories, possibly in collaboration with Air Force Research Laboratory (AFRL) divisions. His work on satellite guidance and space object detection suggests integration with broader defense modeling and simulation initiatives.

Cal Coopmansمشاهده پروفایل

عضو هیئت علمی

• Uncrewed Aerial Systems
• Cyber-Physical Systems
• Aerial Remote Sensing
• +۱۰ مورد دیگر

Cal Coopmans is a Research Assistant Professor in the Department of Electrical and Computer Engineering at Utah State University, where he also serves as Director of AggieAir, a leading unmanned aerial systems (UAS) research program. His work bridges aerospace engineering, cyber-physical systems, and environmental science, with a focus on applying drone technology to agricultural and ecological monitoring. Dr. Coopmans earned his PhD in Electrical Engineering from Utah State University in 2014, with a dissertation on cyber-physical systems enabled by UAS-based personal remote sensing. He also holds an MS in Electrical Engineering from USU (2010) and a BS in Computer Engineering from Montana State University (2004), with minors in Mathematics and Computer Science. His research interests include uncrewed systems, aerial remote sensing, image processing, lidar, mechatronics, and autonomous control systems. He teaches graduate courses in Electrical Engineering, particularly special topics in uncrewed systems and robotics. The recent publications of Dr. Coopmans reflect a strong trend in using small UAS (sUAS) for high-resolution environmental monitoring, particularly in agriculture. His work frequently involves thermal and multispectral imaging, machine learning, and energy balance modeling (e.g., TSEB) to estimate evapotranspiration, leaf area index, and water stress in crops like vineyards and turfgrass. He also contributes to UAS system design, including the development of the GreatBlue VTOL fixed-wing drone. Dr. Coopmans has mentored several graduate students in the Electrical & Computer Engineering program, including Richard Michael Snider, Sadikul Alim Toki, Mitchell Lee Bailey, and Stockton Gerald Slack. While no formal scientific awards are listed in the provided text, his extensive peer-reviewed publications and leadership in AggieAir indicate significant scholarly impact. He is actively involved in interdisciplinary research, collaborating with experts in hydrology, agriculture, and environmental science. His lab, AggieAir, functions as a hub for UAS-based data collection and analysis, supporting projects in irrigation management, ecosystem monitoring, and precision agriculture.