Find Academic Supervisors

• Autonomous Systems
• Computer Vision
• Robotics
• +3 more

Arturo De La Bone Ladder is a Full Professor at the University Carlos III of Madrid (UC3M), affiliated with the Department of Systems Engineering and Automation. He leads the Intelligent Systems Laboratory and is part of the Duque de Santomauro Institute of Motor Vehicle Safety. His research focuses on autonomous systems, computer vision, robotics, and sensor fusion, with applications in intelligent vehicles, UAVs, and industrial automation. Key research areas include autonomous driving technologies, multi-camera obstacle detection, reinforcement learning for energy management, and deep learning for defect recognition. He has authored over 150 publications in top journals like Sensors, Robotics and Autonomous Systems, and IEEE Transactions on Intelligent Transportation Systems. Notable projects include the SUAFF fire-fighting drone system, energy management algorithms for hybrid UAVs, and vision-based navigation architectures for swarms. His work spans grants from the Madrid Government, Spanish Ministry of Science, and industry partners like Sacyr and Applied Artificial Intelligence. He advises on advanced driver assistance systems, UAV mission planning, and robotics for firefighting. His lab develops software architectures for autonomous navigation and collaborates on projects like the PEAV electric vehicle and fire-fighting drone systems.

Nishant SinhaView profile

Researcher

• Heat Transfer
• Boiling Processes
• Microlayer Formation
• +3 more

Nishant Sinha is a Researcher at the Institute for Technical Thermodynamics at TU Darmstadt since 2022. He holds a Ph.D. in Mechanical Engineering from IIT Patna, India (2016-2022) and a Bachelor of Technology in Mechanical Engineering from NSEC, Kolkata, India (2012-2016). His research focuses on heat transfer phenomena, particularly on moving substrates and microlayer formation in boiling processes. He is actively involved in the CRC 1194 project "Interaction between Wetting and Transport Processes," specifically working on subproject A01 "Forced Wetting and De-Wetting on Complex Surfaces." Dr. Sinha's work investigates the physics of thin film evaporation (microlayers) which plays a significant role in liquid-vapor phase change processes such as pool boiling, flow boiling in microchannels, printed electronics, semiconductor industry applications, and heat exchangers. His research employs experimental approaches including high-speed camera measurements of dynamic contact angles and infrared camera recording of local temperature fields at fluid-wall interfaces. His research interests span across: Heat transfer on moving substrates Microlayer formation and evaporation Wetting and dewetting phenomena Boiling crisis prediction Thermal management systems Dr. Sinha's publications demonstrate a consistent focus on experimental thermal engineering with applications in industrial thermal management. His work combines acoustic monitoring, visual characterization, and thermal analysis to understand fundamental boiling phenomena, with particular emphasis on predicting and preventing thermal runaway situations in boiling systems. The research has direct implications for improving efficiency in heat exchangers, electronic cooling systems, and manufacturing processes involving phase change. He works under the supervision of Prof. Dr.-Ing. Jeanette Hussong and Prof. Dr.-Ing. Peter Stephan as part of an interdisciplinary team investigating wetting phenomena and transport processes.

Zhen GaoView profile

Associate Professor

• Automation Engineering Technology
• Robotics
• Industry 4.0
• +5 more

Dr. Zhen Gao is an Associate Professor of Automation Engineering Technology at the W Booth School of Engineering Practice and Technology, McMaster University. He holds associate membership roles in the School of Computational Science & Engineering, Department of Civil Engineering, and McMaster School of Biomedical Engineering. His expertise spans Automation Engineering Technology, Industry 4.0, Health Technology, and Robotics. Research focuses on advanced manufacturing systems, smart systems, and biomedical engineering applications. Dr. Gao’s work integrates robotics, AI, and sensor technologies for practical applications like wound analysis, autonomous systems, and healthcare automation. His recent publications emphasize 3D object detection algorithms, machine learning for medical diagnostics, and robotics control systems. He advises students in emerging technologies, including Shiyu (Shannon) Chen, a Master of Engineering Systems and Technology student. His academic contributions include innovations in parallel robotic mechanisms, smart grid systems, and project-based learning methodologies. He actively collaborates with institutions like St. Joseph’s Healthcare Hamilton to advance healthcare technologies.

António Paulo MoreiraView profile

Professor

• Robotics
• Automation
• Control Systems
• +3 more

António Paulo Moreira is a Full Professor at the Department of Electrical and Computer Engineering, Faculty of Engineering, University of Porto. He serves as Research Coordinator of CRIIS - Centre for Industrial Robotics and Intelligent Systems and Head of the iiLab – Industry and Innovation Laboratory at INESC TEC. His research focuses on Robotics, Automation, and Control, emphasizing industrial applications and technology transfer. He has led 25 scientific projects, generating 40 industry partnerships and 18 prototypes, co-owning 2 patents. He advises on robotics and automation projects, contributing to two spin-off companies. Education: BSc (1986), MSc (1991), PhD (1998), and Aggregation (2017) in Electrical and Computer Engineering from FEUP. Research Interests: Industrial Robotics, Automation Systems, Control Theory, and their practical implementation in agriculture and manufacturing. Recent work includes robotic arm integration for quadruped robots, AR marker tracking, and recommendation systems for industrial data. Notable Projects: 18 industry contracts, 2 patents, and leadership in national robotics competitions (e.g., Robot@Factory 4.0).

Nuno CruzView profile

Associate Professor

• Marine Robotics
• Autonomous Vehicles
• Underwater Sensor Systems
• +3 more

Nuno Cruz is an Associate Professor at the Faculty of Engineering of the University of Porto and Coordinator at the Centre for Robotics and Autonomous Systems at INESC TEC. He holds a MSc in Digital Systems Engineering (UMIST, UK) and a PhD in Electrical Engineering (University of Porto). His research focuses on marine robotics, autonomous vehicles, and underwater sensor systems. He has over 125 publications and 30 years of experience developing marine robotic vehicles like the Zarco/Gama ASVs and MARES/TriMARES AUVs. Research interests include adaptive sampling strategies for autonomous vehicles and energy-efficient underwater platforms. He is a Senior Member of IEEE Oceanic Engineering Society, chairs the Portuguese IEEE OES Chapter, and serves as Associate Editor for IEEE Journal of Oceanic Engineering. Recent work emphasizes underwater sensor calibration via sonar imaging, energy-saving control systems, and advancements in SMART cable technology. Supervised theses include multi-sensor fusion for marine vehicle docking and autonomous bathymetric mapping.

Nadia KanwalView profile

Senior Lecturer

• Computer Vision
• Machine Learning
• Data Privacy and Security
• +9 more

Nadia Kanwal is a Senior Lecturer in Computing at Keele University’s School of Computer Science and Mathematics. She holds a PhD in Computer Science from the University of Essex (2013) and a Marie Skłodowska-Curie Research Fellowship (2018–2022). As Program Director of the Data Science Apprenticeship Degree Program, she focuses on bridging academic and industry needs in computing education. Her research spans Computer Vision , Machine Learning , and Data Security , with emphasis on privacy-preserving surveillance systems, healthcare applications, and ethical AI. Notable projects include: Developing secure video storage systems with EU-funded grants (€256,200) Leading projects on federated learning for emotion recognition via smart clothing (€77,000 grant) Designing encryption frameworks for CCTV systems compliant with GDPR Her work has been published in top-tier venues like IEEE Access , Applied Sciences , and Security and Communication Networks . She has supervised multiple PhD students through grants from Enterprise Ireland and the President Doctoral Scholarship program. Recognition includes Senior Fellow status from Advance HE (2022) and IEEE Senior Membership (2019). Her recent research trends focus on: privacy-aware video analytics , AI ethics in healthcare , and edge computing for real-time surveillance . Current grants include a £29,548 MDUK study on motor skill assessment in muscle-wasting conditions (2022) and a €15,000 feasibility grant for secured video storage systems (2020).

Barta ZoltánView profile

Professor

• Evolutionary Biology
• Behavioural Ecology
• Parental Care
• +4 more

Zoltán Barta is a Professor of Biology at the University of Debrecen , serving as Head of the Department of Evolutionary Zoology and Director of the Institute of Biology and Ecology. He is a member of Academia Europaea and actively leads the Evolutionary Biology and Biodiversity Doctoral Programme at the Juhász-Nagy Pál Doctoral School. His work integrates theoretical and empirical approaches to address questions in behavioural ecology , evolutionary biology , and life history theory . Research Focus : Combines social foraging , parental care dynamics , and gene expression regulation in model systems like the Lethrus apterus beetle. Awards : Medal of the Debrecen Chapter of the Hungarian Academy of Science (2014) Bolyai Research Fellowships (2001, 1998) Marie Curie and NATO Fellowships (2001, 1996) Öveges Scholarship (2006) Leadership : Organized national/international workshops; supervised numerous PhD and Master’s students. Current chair of the Ecology and Evolution panel at Hungary's National Office for Research, Development, and Innovation.

• Conservation Biology
• Ecology
• Biodiversity
• +3 more

Gareth Russell is an Associate Professor in the Biological Sciences department at New Jersey Institute of Technology (NJIT). His research focuses on conservation biology, ecology, and biodiversity, with emphasis on species richness, extinction risk, and human impacts on ecosystems. He has led and collaborated on federal grants, including projects on automated species identification and urban forest ecosystem services. Notable contributions include studies on African elephant movement, mosquito abundance monitoring, and camera trap methodologies. Key research interests include understanding ecological networks, conservation strategies, and applying technology like deep learning to ecological data. His work spans diverse ecosystems, from tropical forests to urban environments, addressing challenges such as habitat fragmentation and invasive species management. Russell has published extensively in peer-reviewed journals and contributed to media discussions on sustainability and biodiversity initiatives. Projects: ODOMATIC (species identification tools), ULTRA-Ex (urban forest dynamics), and real-time reef fish monitoring systems. Grants: Multiple National Science Foundation grants (2007–2019). Media: Featured in articles on urban gardens, mosquito surveillance, and environmental policy. His research integrates fieldwork with computational models, aiming to inform conservation policies and mitigate human-driven ecological disruptions.

Curtis CohenourView profile

Associate Professor

• Avionics Engineering
• Navigation Systems
• GPS and Satellite Technology
• +4 more

Curtis Cohenour is an Associate Professor in the Department of Engineering Technology and Management at Ohio University's Russ College of Engineering and Technology. He holds a Ph.D. in Electrical Engineering (2009) from Ohio University, along with earlier degrees from Ohio University (M.S., 1988) and West Virginia Institute of Technology (B.S., 1980). His professional background includes industry roles as an electrical engineer and project manager, alongside research engineer positions at Ohio University's Avionics Engineering Center since 2002. Research interests focus on avionics systems, navigation technology (including GPS/WAAS), image geo-registration corrections, and aerospace data analysis. His work with the Air Force Research Lab addresses airborne platform imaging errors, while collaborations span projects like the WPAFB WAMI data set and MLS/Airbus A380 critical area assessments. He is a registered professional engineer in Ohio and West Virginia. Publications emphasize aerospace imaging accuracy (e.g., WAMI error elimination, diagnostic clock synchronization) and satellite signal integrity (GPS orbit/clock error distributions). He has contributed to education innovations, including PLC course design using finite state machines and Arduino-based labs. Technical reports cover critical aviation infrastructure impacts and advanced DGPS multipath models. Cohenour's affiliations include the Air Force Research Laboratory and Avionics Engineering Center. His work bridges academic research with practical aerospace engineering challenges in navigation, imaging, and system validation.

Aamir AhmadView profile

Professor

• Aerial Robotics
• Multi-Robot Systems
• Deep Learning
• +7 more

Aamir Ahmad is a Tenure-track Professor (Flugrobotik) and Deputy Director (Research) at the Institute of Flight Mechanics and Control, Faculty of Aerospace Engineering and Geodesy, University of Stuttgart. He also leads the Robot Perception Group (RPG) at the Max Planck Institute for Intelligent Systems in Tübingen. His research focuses on aerial robotics, multi-robot systems, deep reinforcement learning, formation control, and perception-driven navigation. He leads the Flight Robotics Group (FRG) and Robot Perception Group (RPG), which are part of the Cyber Valley and IMPRS-IS initiatives. His work includes developing autonomous aerial systems for tasks like motion capture, environmental monitoring, and cooperative target tracking. Key projects include AirCap (aerial human motion capture) and GRADE (generating dynamic environments for robotics). Research interests span reinforcement learning for autonomous systems, SLAM algorithms, and bio-inspired robotics. Notable contributions include autonomous multi-rotor landing on moving platforms, viewpoint-driven airship formations, and synthetic data-driven wildlife tracking. Ahmad has secured grants such as the EU H2020-funded DeepField project. He advises PhD students through the IMPRS-IS program and offers postdoc and research positions. His groups collaborate with institutions globally and engage in open-source software development for robotics.

Keigo HirakawaView profile

Professor

• Signal Processing
• Image Processing
• Digital Cameras
• +3 more

Keigo Hirakawa is a full-time Professor and Bernhard Schmidt Chair in Engineering Leadership at the University of Dayton's School of Engineering, Department of Electrical and Computer Engineering. He holds a joint appointment with the Electro-Optics and Photonics program. His academic journey includes a Ph.D. from Cornell University (2005), an M.S. from Cornell (2003), a B.S. from Princeton University (2000), and a Master of Music in Jazz Studies/Piano Performance from the New England Conservatory (2006). His research focuses on signal and image processing, statistical modeling, color image processing, and digital camera pipeline optimization. He is actively involved in professional activities such as serving as an Associate Editor for SPIE's Journal of Electronic Imaging and IEEE Transactions on Image Processing , and participates in the IEEE Image, Video, and Multidimensional Signal Processing Technical Committee. Recent work emphasizes event-based sensing, noise reduction in imaging systems, and advanced spectral imaging techniques. His research has led to innovations like Fourier multispectral imaging and Kalman filter-based particle velocimetry. He teaches courses such as ECE 203, 215, 340, 445, and graduate-level ECE 503 and 595. His laboratories focus on developing next-generation imaging systems and sensor technologies, with applications in aerospace, cybersecurity, and biomedical imaging. Collaborations span industry and academia to address challenges in real-time data processing and high-fidelity image reconstruction.

• Mobile Crowd Sensing
• Visual Information Processing
• Medical Imaging Analysis
• +5 more

Huihui Chen is an Associate Professor in the Department of Computer Science and Engineering at Northwestern Polytechnical University, specializing in mobile crowd sensing, medical imaging analysis, and control systems for autonomous vehicles. With over 50 publications spanning from 2013 to 2025, Dr. Chen has established a significant research presence in interdisciplinary areas combining computer science, engineering, and medical applications. Dr. Chen's research interests focus on mobile crowd sensing systems , particularly visual crowdsensing applications for smart cities and transportation. Their work extends to medical imaging analysis for conditions like Fragile X syndrome and granulosa cell tumors, as well as control systems for unmanned surface vehicles. The research demonstrates a progression from fundamental crowd sensing frameworks to sophisticated applications in medical diagnostics and autonomous systems. Key methodological approaches include sensor fusion techniques, neural network modeling, and optimization algorithms for dynamic environments. Recent publications reveal a growing emphasis on interdisciplinary applications, particularly at the intersection of computer vision and medical diagnostics. The 15 most recent articles demonstrate expertise across multiple domains including transportation systems optimization, neural network synchronization, and medical imaging analysis. This diverse portfolio shows a research trajectory that bridges theoretical computer science with practical applications in healthcare and autonomous systems. Dr. Chen actively collaborates with researchers including Bin Guo (31 joint publications), Zhiwen Yu, Chundi Zheng, and Aiguo Wang, forming a productive research group focused on mobile sensing technologies. The collaborative network extends across multiple Chinese institutions, with significant contributions to IEEE journals and international conferences in computer science and engineering.

Fei LuoView profile

Assistant Professor

• Policing Studies
• Race and Ethnicity
• Criminal Justice Systems
• +2 more

Fei Luo is an Assistant Professor at Texas A&M International University teaching in the M.S. in Criminal Justice program. She holds a Ph.D. from Sam Houston State University (2016) and law degrees (LLB, LLM) from Nanjing University institutions. Her research focuses on policing, race/ethnicity, criminal justice systems, and quantitative methods. She has received significant recognition including the Outstanding Article Award from the Journal of Ethnicity in Criminal Justice (2017) and the Outstanding Dissertation Award from Sam Houston State University (2017). Her funded research includes grants from TAMIU and SHSU examining policing dynamics and community relations. Her extensive publication record focuses on police-community relations, racial disparities, and criminal justice policies, particularly in cross-cultural contexts. Recent work explores protest movements, police perceptions in border communities, and systemic analyses of mental health impacts in justice systems. Beyond academia, Professor Luo practices yoga and martial arts, and plays piano.

• Geomatics
• Photogrammetry
• Structural Monitoring
• +7 more

Alessandro Capra is a Full Professor at the University of Modena and Reggio Emilia's Department of Engineering 'Enzo Ferrari'. His research focuses on geomatics, photogrammetry, structural monitoring, and BIM/GIS applications. He leads courses in applied geomatics, BIM, and GIS for Civil and Environmental Engineering programs. Key research areas include coral reef monitoring via underwater photogrammetry, Antarctic geodynamics using GNSS networks, and cultural heritage preservation through 3D laser scanning. Capra's work integrates geodetic, remote sensing, and machine learning techniques to address environmental challenges and structural safety. Notable projects include coral bleaching impact analyses using AI, Antarctic crustal motion studies, and BIM modeling of historic structures like Modena's Cathedral and Ghirlandina Tower. His interdisciplinary approach bridges civil engineering, environmental science, and cultural heritage conservation. He has authored over 50 publications since 2010, with recent focus on marine bioconstructors, UAV-based quarry topography, and machine learning for crack detection. Teaching responsibilities include topography and advanced geomatics modules, emphasizing practical skills in BIM software and geospatial data analysis.

• Computer Science
• Real-Time Systems
• Embedded Systems
• +6 more

Marko Bertogna is a Full Professor in the Department of Physical, Computer and Mathematical Sciences at the University of Modena and Reggio Emilia. His primary research focuses on real-time systems, embedded systems, autonomous driving, machine learning, and robotics. He leads the HiPeRT Lab and teaches courses such as Autonomous Driving Systems, Real-Time Embedded Systems, and Computer Architecture. His work spans interdisciplinary areas including: Autonomous vehicle control and perception Real-time scheduling algorithms for heterogeneous platforms IoT applications in agriculture and environmental monitoring Efficient deep learning models for embedded systems GPU and multi-core predictability Notable projects include the SPHERE architecture for cyber-physical systems, the F1/10 autonomous vehicle platform, and the BETTY dataset for full-stack autonomy. Recent articles highlight contributions to 6-DoF pose estimation for robotics, livestock waste management via IoT, and model-based control for autonomous racecars. He collaborates with industries on automotive-grade embedded systems and safety-critical applications.