جست‌وجوی استاد و پژوهشگر

• Video Quality Assessment
• Image Processing
• Machine Learning
• +۳ مورد دیگر

Steve Goering is a researcher at Technische Universität Ilmenau with a focus on video/image quality assessment , machine learning , and human-computer interaction . His work spans QoE modeling , AI-generated content evaluation , and VR/AR applications . Key Contributions: AVT-VQDB-UHD-1 dataset, Frankenstone toolbox, and AVrate Voyager platform. Collaborations: Alexander Raake, Rakesh Rao Ramachandra Rao, Rasmus Merten. Research Trends: Recent articles analyze AI upscaling appeal , 4K/8K HDR perception , and spatial audio in VR . His work integrates deep learning and crowdsourced evaluation . Grants & Tools: Developed open-source platforms for adaptive streaming analysis and immersive media quality assessment. No scientific awards are documented in the provided sources.

• Digital Image Forensics
• Steganography and Steganalysis
• Hypothesis Testing Theory
• +۴ مورد دیگر

Remi Cogranne is an Associate Professor at Troyes University of Technology (UTT), affiliated with the LIST3N Lab and the LM2S (Systems Modelling and Dependability) department. His research focuses on digital image forensics, steganography, and hypothesis testing theory. He has extensive teaching experience in computer networks, cryptography, and mathematical engineering, including international collaborations in China and the U.S. Education: PhD in System Safety and Optimization (O2S) from UTT (2008–2011) Engineer degree in Telecommunications and Information Systems (SIT) from UTT (2003–2008) Erasmus exchange in Jönköping, Sweden (2005) Volunteer teaching in Ziguinchor, Senegal (2007) Research Interests: Cogranne’s work spans steganalysis, digital forensics, and statistical methods for detecting hidden data. His contributions include advancements in JPEG steganography, camera model identification, and handling cover-source mismatch in deep-learning-based steganalysis. Service & Leadership: General Chair of IEEE Workshop on Information Forensics and Security (WIFS 2022) Associate Editor of IEEE Trans. on Information Forensics and Security Organizer of ALASKA steganalysis contests (2019–2020) Advising & Grants: Co-advised over a dozen PhD students and postdocs. Active in European and French research projects like UNCOVER and tools for detecting digital image manipulation.

Sander Stuijkمشاهده پروفایل

دانشیار

• Embedded Systems
• Signal Processing
• Multi-Core Architectures
• +۳ مورد دیگر

Sander Stuijk is an associate professor at the Department of Electrical Engineering of Eindhoven University of Technology, chairing the Electronic Systems (ES) group. His research focuses on design methodologies for embedded signal processing applications in high-tech systems like industrial manufacturing, automotive, and healthcare. He develops high-level compilation strategies for heterogeneous multi-core platforms, with interests in efficient code generation and resource allocation. Prof. Stuijk holds leadership roles including chairing the ES group, serving on the board of 4TU.NIRICT (a Dutch ICT research consortium), and coordinating the Embedded Systems master program. He contributes to national ICT initiatives through ICT Next Generation, a network for mid-career academics. He also chaired the Department Council (2016-2018) and participates in TPC activities. His research spans streaming applications, real-time systems, and multi-processor architectures. Notable projects include the PROMES initiative (programming embedded multi-media systems) and the MNEMEE project (automated MPSoC design). His work emphasizes predictable and energy-efficient computing, with applications in healthcare monitoring (e.g., remote PPG, thermal imaging) and reconfigurable systems. Prof. Stuijk has advised numerous PhD/Master students and led projects like FORSEE, VSM, and SenSafety. His publications include over 70 journal/conference papers, covering topics like neuromorphic computing, GPU optimization, and medical signal processing. He actively engages in academic service, including organizing SCOPES workshops and serving on editorial boards.

• Edge Intelligence
• Energy-Efficient Computing
• Sensor Platforms
• +۲ مورد دیگر

Minah Lee is a Postdoctoral Fellow at Georgia Tech's Electrical and Computer Engineering department. Her research integrates edge intelligence, energy-efficient computing, and reliable sensor platforms. Publications feature cross-layer hardware designs (AFE-CIM macro), cryogenic computing efficiency (Cool-CIM), and uncertainty estimation for neural accelerators. Recent work explores multi-agent dynamics and analog computing robustness.

Christoph Kellerمشاهده پروفایل

استاد مهمان

• Exoplanets
• Instrumentation
• Solar Physics
• +۵ مورد دیگر

Christoph Keller is a Visiting Professor at Leiden Observatory (Leiden University) and serves as Director of Science at Lowell Observatory. His career spans roles at the National Solar Observatory, Utrecht University, and Leiden University, where he focused on high-accuracy polarimetry for astronomy and environmental sensing, exoplanetary systems, solar physics, remote sensing, and interdisciplinary instrumentation. Education: PhD in Physics from ETH Zürich (1992), MSc in Physics from ETH Zürich (1988) Research Interests: His work bridges exoplanet characterization, innovative optical instruments, polarized light analysis, and remote sensing of planetary atmospheres. He has pioneered techniques in holographic aperture masking, vector-apodizing phase plates, and spectropolarimetry for detecting biosignatures like homochirality. Scientific Contributions: Recent publications highlight advancements in high-contrast imaging, adaptive optics, and life detection via polarization. His projects include the Planetary Camera and Spectrograph (PCS) for the ELT and the Life Signature Detection polarimeter (LSDpol). Scientific Awards: Friedrich Wilhelm Bessel Award for astrophysics Advising and Projects: Supervised numerous PhD students and postdocs, including Rico Landman, Fedde Fagginger Auer, and Evangelia Kleisioti. Led projects like SPHERE+, LEXI, and the European Solar Telescope. His work integrates machine learning, optical design, and space-based instruments for exoplanet and solar research.

• Autonomous Underwater Vehicles
• Machine Learning
• Marine Robotics
• +۲ مورد دیگر

Vibhav Bharti serves as a Research Fellow in Computer Science at Heriot-Watt University's School of Mathematical & Computer Sciences. His work focuses on bridging theoretical machine learning with practical marine robotics applications, contributing to UN Sustainable Development Goals through technological innovation. Research interests span Autonomous Underwater Vehicles , Machine Learning reliability , and Marine Robotics systems . Key contributions include developing deep reinforcement learning frameworks for AUV docking, creating the Stonefish platform for marine ML research, and advancing multi-beam echo-sounder object detection. His fingerprint reveals expertise in underwater vehicle pipelines, sensor data processing, and learning-based assessment systems. Recent publications demonstrate a clear trajectory toward real-world implementation of simulation-trained AI systems, with strong emphasis on safety-critical applications. Work spans 2017-2025 with consistent output in top robotics conferences including OCEANS and TAROS. Collaborations show extensive international network in marine technology, particularly with researchers in underwater perception and machine learning validation. Current projects focus on enhancing reliability of ML components in autonomous systems and improving image quality assessment through edge detection techniques.

Michael Stelzigمشاهده پروفایل

پژوهشگر

• Radar Remote Sensing
• Ice Penetrating Radar
• UAV-Based Radar Systems
• +۴ مورد دیگر

Dr. Michael Stelzig serves as a Researcher at the Institute of Microwaves and Photonics (LHFT) within the Department of Electrical-Electronic-Communication Engineering at Friedrich-Alexander University Erlangen-Nuremberg. His work focuses on advanced radar systems for environmental and extraterrestrial exploration. His research spans multiple high-impact domains: Development of ice-penetrating radar systems for glacial exploration UAV-based synthetic aperture radar (SAR) for subsurface imaging Radar signal processing for extraterrestrial applications Novel transponder technologies for radar calibration His recent publications demonstrate leadership in radar technology for both terrestrial glaciology and planetary science applications, particularly in Saturn's moon Enceladus exploration. His scientific contributions include: Design of hybrid radar-sonar systems for melting probes Lightweight radar platforms for glacial subsurface imaging Joint radar-communication waveform innovations Drone-based UHF-VHF radar systems for snow stratification analysis Stelzig's technical expertise bridges microwave engineering, signal processing, and field applications in extreme environments. His collaborative work with institutions like DLR (German Aerospace Center) highlights interdisciplinary approaches to complex exploration challenges.

Jonathan Robertsمشاهده پروفایل

استاد

• Field Robotics
• Medical Robotics
• Performance Robotics
• +۷ مورد دیگر

Jonathan Roberts is a Professor in Robotics at Queensland University of Technology (QUT), affiliated with the School of Electrical Engineering & Robotics within the Faculty of Engineering. He serves as Director of the Australian Cobotics Centre and Technical Director of the Advanced Robotics for Manufacturing (ARM Hub). His research focuses on Field Robotics, Medical Robotics, Performance Robotics, and Cobots. Roberts holds a PhD in Aerospace Systems Engineering from the University of Southampton (UK) and has extensive industry experience, including leading robotics projects at CSIRO. He co-invented the UAV Challenge Outback Rescue and pioneered the Museum Robot Project, earning awards such as the 2013 Australia and New Zealand Internet Award for Innovation. His work spans autonomous systems, surgical robotics, and cultural heritage mapping, with notable contributions to 3D mapping technologies like the Zebedee system. Roberts is an active editor for robotics journals and contributes to policy discussions on advanced manufacturing and robotics strategy. **Education**: PhD (University of Southampton, 1994), Honours in Aerospace Systems Engineering (1991). **Key Projects**: Australian Cobotics Centre, ARM Hub, UAV Challenge, Museum Robot Project, 3D mapping of heritage sites. **Awards**: Australia-India Strategic Research Fund (2017), BBC International News features (2014–2016). **Grants & Roles**: Chief Investigator at QUT Centre for Robotics, Deputy Research Director of Australian Research Centre for Aerospace Automation (2008–2013). **Labs/Teams**: QUT Centre for Robotics, collaborations with The University of Queensland and CSIRO. His research bridges robotics with healthcare, manufacturing, and cultural preservation, emphasizing human-robot collaboration and innovation.

Payam Nori Zadehمشاهده پروفایل

پژوهشگر ارشد

• Robotics
• Mobile Robot Navigation
• Computer Vision
• +۳ مورد دیگر

Dr. Payam Nori Zadeh is a Research Fellow in AI and Robotics at the Queensland University of Technology (QUT) Centre for Robotics, a position he has held since May 2023. He actively collaborates on the pioneering Australia-USA joint project (AUSMURI) with institutions including MIT, Boston University, UNSW, and the University of Melbourne. Education: PhD in Computer Science from Victoria University of Wellington (2023), focusing on mobile robot navigation in outdoor terrains with slip and skid. Master’s in Robotics and Control from the University of Tehran, with thesis research on cooperative control of multiple mobile robots in cluttered environments. Dr. Nori Zadeh's research specializes in autonomous mobile robotics for challenging environments, integrating bio-inspired navigation strategies with advanced computer vision techniques for high-speed event cameras. His work addresses critical gaps in terrain adaptability and real-time perception: Mobile Robot Navigation under extreme slip/skid conditions in unstructured outdoor settings Computer Vision algorithms optimized for neuromorphic event cameras Bio-inspired control systems mimicking biological locomotion Cooperative multi-robot coordination in complex obstacle fields No public information is available regarding Dr. Nori Zadeh's student advising or grant funding activities. As a core contributor to the QUT Centre for Robotics, he operates within the AUSMURI project framework, leveraging international partnerships to advance autonomous systems research. Connect with Payam on his Scholar and LinkedIn profiles for further details about his research.

Steve Martinمشاهده پروفایل

پژوهشگر

• Robotics
• Autonomous Systems
• Computer Vision
• +۴ مورد دیگر

Steve Martin is a Researcher at the QUT Centre for Robotics, Queensland University of Technology. He holds a Bachelor of Mechatronics (QUT, 2009) and was a former PhD student under Professors Gordon Wyeth and Peter Corke at the QUT Cyphy Lab. Since rejoining QUT in 2016, he has contributed to the Australian Centre for Robotic Vision’s engineering projects, focusing on robotics maintenance, software development, and electrical design. His work spans diverse applications including autonomous agricultural systems for weed control, semi-automated power infrastructure inspection, and robotic coral reef monitoring. Key projects include the 'Mini Autonomous Vehicles' initiative (AOS: Kelpie) and coral reef surveillance systems. Research interests emphasize real-time perception, long-term robot navigation, and energy-efficient robotic systems. He has developed solutions for traversability mapping, proprioceptive sensing, and distributed object tracking. Notable contributions include pandemic-related ventilator design and light field camera adapters. Steve collaborates across disciplines, bridging robotics engineering with environmental and medical applications. Advising and grants: While no current advisees are listed, his PhD supervision experience at QUT and contributions to large-scale robotic projects highlight his mentorship role. He actively engages with industry partnerships, particularly in agricultural and infrastructure robotics. Labs/Teams: Core member of the QUT Centre for Robotics, contributing to cross-disciplinary research in autonomous systems and robotic vision.

Florian Michahellesمشاهده پروفایل

استاد

• Human-Centered AI
• Ubiquitous Computing
• Internet of Things (IoT)
• +۵ مورد دیگر

Florian Michahelles is a Full Professor of Ubiquitous Computing at TU Wien, specializing in human-centered AI and IoT systems. He holds a Ph.D. from ETH Zurich and an MSc from Ludwig-Maximilians University Munich. His research focuses on integrating technology into everyday life while maintaining human control, including digital companions, AI-driven task optimization, and sustainable tech solutions. Roles include Full Professor in Artifact-based Design and User Research, Curriculum Coordinator for Human-Centered Computing, and Principal Member of TU Wien's Informatics department. He leads projects like the 'Eternity Bike' (self-balancing bicycle) and 'Urban-Engage' (citizen-driven urban planning). Education: Ph.D. (ETH Zurich), MSc (LMU Munich) Key Research Areas: Human-AI Collaboration, Wearable Tech, Sustainable Computing, Robotics Interaction Notable awards include the IoT 2023 Best Paper Award and the Ten Year Impact Award (MUM 2022). His work spans 20+ publications annually, addressing topics from textile interfaces to climate action systems. Active in entrepreneurship, he co-founded 42matters and advises on innovation management. His lab develops prototypes like the 'Smart Trash Can' and 'Skillab' AR training platform.

• Fault-Tolerant Computing
• Asynchronous Circuits
• Digital System Design
• +۳ مورد دیگر

Florian Ferdinand Huemer is a PostDoc Researcher at the Embedded Computing Systems department (E191-02 Faculty Council Substitute Member) within the Faculty of Informatics at Vienna University of Technology. His work focuses on fault-tolerant asynchronous circuits, delay-insensitive communication protocols, and FPGA reliability analysis. BSc , Vienna University of Technology Dipl.-Ing. , Vienna University of Technology Dr.techn. , Vienna University of Technology Key research areas include: Fault-Tolerant Computing : Designing systems resilient to transient faults and radiation effects. Asynchronous Circuits : Developing quasi-delay-insensitive logic and Muller pipelines. Embedded Metrology : Applying polarization cameras and time-to-digital converters for industrial measurements. Recent publications address: 2024 : Polarization camera-based inline thickness measurement and FPGA ring oscillator synchronization. 2023 : Mitigating single-event transients in QDI logic. 2021 : Automated fault-injection frameworks and QDI pipeline sensitivity analysis. Projects funded by the Austrian Science Fund (FWF) during 2013-2018 explored self-stabilizing Byzantine fault-tolerant algorithms. Supervisions include: Haschke (2024): QDI adder comparison Spitzer (2024): Automated fault-injection framework Schwendinger (2022): Asynchronous circuit testing tools Pircher (2022): Smart SoC testing via IJTAG Behal (2021): QDI design template fault sensitivity

• Animal Behaviour
• Behavioural Ecology
• Conservation Biology
• +۳ مورد دیگر

Dr. David Hamilton is an Adjunct Researcher at the University of Tasmania (School of Natural Sciences, Biological Sciences Department) and a Conservation Ecologist with the Tasmanian Land Conservancy. His work bridges behavioral ecology and conservation biology, focusing on how animal behavior informs effective management strategies. He holds a PhD from the University of Tasmania (2019), an MSc from Edinburgh Napier University, and a BSc Hons from the University of Aberdeen. Research interests include the behavioral drivers of disease transmission (e.g., devil facial tumour disease), translocation strategies for endangered species like the eastern quoll, and the ecological impacts of habitat modification. His projects often involve collaboration with UTAS researchers and applied work on TLC reserves. Key funded projects include Holsworth grants investigating eastern quoll translocations (2024–2028) and Tasmanian devil tumour dynamics (2015–2018). Recent publications emphasize wildlife monitoring techniques, invasive species management, and genomic analyses of disease impacts. His work contributes to both theoretical understanding and practical conservation outcomes. Grant involvement includes roles in projects totaling over $36,000, addressing translocation protocols and disease ecology. Supervision focuses on doctoral and honours students examining quoll translocation outcomes and population genetics. His interdisciplinary approach integrates behavioral, ecological, and genetic methodologies to address conservation challenges.

• Conservation and Biodiversity
• Terrestrial Ecology
• Wildlife Disease Ecology
• +۴ مورد دیگر

Professor Menna Jones is a Professor in Biological Sciences at the University of Tasmania's School of Natural Sciences. Her research focuses on conservation biology, ecological restoration, and the impacts of invasive species and disease on ecosystems. She leads projects investigating the eco-evolutionary dynamics of wildlife diseases, such as the transmissible cancer affecting Tasmanian devils, and the role of top predators in structuring ecosystems. Jones supervises numerous doctoral and master's students and teaches courses including KZA161 Biology of Animals and KPZ308 Biodiversity Conservation. Her research interests include trophic cascades, wildlife disease ecology, and the management of invasive species. She has secured significant grants from bodies like the Australian Research Council and the National Science Foundation, funding projects on predator-prey dynamics, invasive species control, and conservation genetics. Jones has been recognized by the Australian-American Fulbright Commission for her contributions to science. Her work spans field studies in Tasmania and beyond, addressing critical challenges in biodiversity conservation and ecological resilience. She collaborates with institutions globally to advance solutions for landscape-scale restoration and wildlife management.

Alex Rastمشاهده پروفایل

مدرس ارشد

• Neuromorphic computing
• Artificial Intelligence
• Autonomous robotics
• +۶ مورد دیگر

Dr Alex Rast is a Senior Lecturer in Computing within the School of Engineering, Computing and Mathematics at Oxford Brookes University , where he also serves as Third-Year Tutor for all computing programmes. His career spans academic posts at the Universities of Manchester and Southampton and industry experience at wireless start-up Inficom, Inc. Education & Career Path A-level studies sparked lifelong interest in neural networks and neuromorphic hardware. Post-doctoral research at University of Manchester on cognitive robotics and neuromorphic chips. Research fellow at University of Southampton on large-scale parallel event-driven systems. Industry stint at Inficom working on control processors and modulation theory. Joined Oxford Brookes University, rising to Senior Lecturer while leading multiple research initiatives. Research Focus Dr Rast’s research integrates event-driven vision sensors with neuromorphic cognitive processors to create fully integrated autonomous neurorobotic systems capable of operating in unstructured natural environments. Core themes include: Real-time perception and SLAM for autonomous vehicles and racing robots. Large-scale spiking neural network models for learning and decision-making. Probabilistic temporal reasoning under uncertainty. Ethical decision-making and reinforcement learning for responsible AI agents. Novel applications such as neural models for fine-flavour cacao and chocolate assessment. Funding & Projects Knowledge Transfer Partnership (KTP) with Supponor on advanced scene infilling systems. CLAIMOR (Co-I; British Academy, Apr–Nov 2025) developing comprehensive large AI models for mobile robotics. Active consultancy to the Oxford Brookes Racing (OBR) Autonomous racing team on perception and SLAM. Research Groups & Labs Visual Artificial Intelligence Laboratory (VAIL) Autonomous Driving and Intelligent Transport (ADIT) group Machine Learning and Robotics Group (MLR) Artificial Intelligence, Data Analysis and Systems (AIDAS) Institute Institute for Ethical AI collaboration on ethical agents Teaching & Supervision Dr Rast is Third-Year Tutor for all computing programmes and teaches core AI and robotics modules: Artificial Intelligence (BSc, MSci, MSc), Cognitive Robotics, Autonomous Intelligent Systems, and Artificial Intelligence Systems Engineering. He supervises final-year projects and postgraduate research students in neuromorphic computing and autonomous systems.