جستجوی استاد راهنمای دانشگاهی

Carlos Vázquezمشاهده پروفایل

استاد

• Computer vision
• Medical imaging
• 3D reconstruction
• +۴ مورد دیگر

Carlos Vázquez is a Professor at the Department of Software Engineering and IT, École de technologie supérieure (ÉTS). He holds a B.Eng. and M.Sc. from ISPJAE, Cuba, and a Ph.D. from INRS, Montreal. His research focuses on computer vision, medical imaging, 3D reconstruction, and immersive video technologies. He co-leads the Summit Tech Research Chair in Immersive and Interactive Video and is affiliated with the Multimedia Research Laboratory (LABMULTIMEDIA) and the Open Innovation Laboratory in Health Technologies (LIO-ÉTS). His expertise includes stereoscopic imaging, multi-view video coding, and GPGPU programming. Notable research axes are software systems, multimedia, cybersecurity, and health technologies. He has supervised numerous doctoral and master’s theses, including works on 3D spine reconstruction, personalized femur modeling, and immersive video compression. Key contributions include advancements in medical imaging analysis, 3D reconstruction from biplanar radiographs, and efficient video coding for virtual reality. His work bridges clinical applications and engineering, with implications in surgical planning, patient rehabilitation, and multimedia systems optimization.

• Digital Signal Processing
• Image Processing
• Multimedia Communications
• +۳ مورد دیگر

Marco Carli is a Full Professor at the Department of Industrial, Electronic, and Mechanical Engineering, Roma Tre University, Italy. He holds a Laurea in Telecommunication Engineering from Università degli Studi di Roma 'La Sapienza' and a Ph.D. from Tampere University of Technology. His research focuses on digital signal and image processing applied to multimedia communications, including digital watermarking, multimedia quality evaluation, and information security. He has led projects such as EHEM (medieval architecture modeling), ISEEYOO (AI-based anomaly detection), and INSECTT (secure IoT-AI systems). Carli serves as an Associate Editor for IEEE Transactions on Image Processing and Area Editor for Signal Processing: Image Communication. He is an IEEE Senior Member. His work spans over 55 journal publications and numerous conferences, addressing topics like immersive VR applications, cybersecurity, and perceptual quality metrics. Education: Laurea in Telecommunication Engineering, Università di Roma 'La Sapienza', 1990s Ph.D. in Telecommunication Engineering, Tampere University of Technology, Finland Projects: EHEM: Digital modeling of medieval architecture and art ISEEYOO: Anomaly detection in Cyber-Physical Systems INSECTT: Secure IoT systems with AI Research Interests: Signal/image processing for multimedia Quality evaluation and watermarking Cybersecurity and IoT applications Awards: None explicitly listed Grants/Advising: Multiple EU-funded projects (e.g., ImmerSAFE, RESISTO, ATENA) and collaborations with industry partners like Thales Alenia Space.

Abhranil Dasمشاهده پروفایل

پژوهشگر ارشد

• Computational neuroscience
• Vision science
• Psychedelics
• +۵ مورد دیگر

Abhranil Das is a Postdoctoral Fellow at the University of Texas at Austin with interdisciplinary expertise in computational neuroscience, vision science, and the intersection of psychedelics with psychology. He holds a PhD in Physics and Neuroscience from UT Austin and explores topics ranging from human perception to transpersonal psychology through both academic research and personal reflection. Education: PhD in Physics/Neuroscience from University of Texas at Austin Current Role: Postdoctoral Fellow at UT Austin His research interests span computational modeling of human vision , camouflage detection mechanisms , and psychedelic-assisted therapy , with a focus on interdisciplinary connections between physics, neuroscience, and cognitive science. He also maintains a blog ( One Life ) where he discusses transpersonal psychology, climate anxiety, and personal philosophical reflections. Recent publications highlight his work on Bayesian models of visual perception , self-supervised learning in texture discrimination , and statistical methods for signal classification . Das is affiliated with the Center for Psychedelic Research and Therapy at UT Austin and explores the energetic and transpersonal aspects of consciousness in both scientific and anecdotal contexts.

Aljaž Božičمشاهده پروفایل

پژوهشگر

• Computer Vision
• Computer Graphics
• Artificial Intelligence
• +۷ مورد دیگر

Aljaž Božič is a Research Scientist at Meta Reality Labs Research , focusing on neural rendering, 3D reconstruction, and AI-driven geometry modeling. He earned his Ph.D. in Computer Science from the Technical University of Munich (TUM) and holds a Master's in Computer Science from TUM and a Bachelor's in Mathematics from the University of Ljubljana . His research spans computer vision, graphics, and artificial intelligence , with a focus on neural rendering , generative AI , and 3D deformable object modeling , targeting applications in VR/AR and robotics. His work includes time-consistent dynamic scene reconstruction (SceNeRFlow), volumetric hair appearance modeling, and high-fidelity walkable VR spaces (VR-NeRF), alongside efficient NeRF distillation and calibration methods (Neural Lens Modeling). Key article trends include Transformer-based monocular reconstruction (TransformerFusion), neural parametric shape models (NPMs), and self-supervised non-rigid tracking (Neural Deformation Graphs). He has contributed to open-source projects like the TransformerFusion GitHub repository , emphasizing MIT-licensed tools for scene reconstruction. At TUM, he served as a Teaching Assistant for courses such as 3D Scanning and Spatial Learning and 3D Vision Seminar , bridging academic instruction with research innovation. His work integrates advanced neural networks with practical optimization techniques, advancing fields like RGB-D reconstruction (DeepDeform) and variational SLAM.

Frédéric Dufauxمشاهده پروفایل

استاد پژوهش

• Image and Video Coding
• 3D Video
• High Dynamic Range Imaging
• +۵ مورد دیگر

Frédéric Dufaux is a CNRS Research Director at Université Paris-Saclay, affiliated with CentraleSupélec and the Laboratoire des Signaux et Systèmes (L2S), where he heads the Telecom and Networking hub. He holds an M.Sc. in Physics (1990) and a Ph.D. in Electrical Engineering (1994) from the Swiss Federal Institute of Technology (EPFL). With over 20 years of research experience, he previously worked at EPFL, MIT, and industry leaders including Compaq and Digital Equipment. His research spans: Fundamental video coding techniques and 3D video systems High dynamic range imaging and perceptual quality assessment Privacy-preserving video surveillance and multimedia content analysis Wireless video transmission and next-generation compression standards Recent publications focus on HDR compression optimization, semantic video coding using seam carving, distributed video coding with machine learning, and 3D video standardization, demonstrating consistent innovation in video processing architectures and perceptual quality enhancement. Awards & Honors: IEEE Fellow Two ISO Awards for contributions to JPEG 2000 wireless (JPWL) and JPSearch standards He leads multiple standardization initiatives in MPEG/JPEG committees and has held editorial leadership roles including Editor-in-Chief of Signal Processing: Image Communication (2010-2019). He chairs the EURASIP Technical Area Committee on Visual Information Processing and has organized major conferences including ICIP and MMSP.

Haibo Liمشاهده پروفایل

استاد

• Media Technology
• Digital Signal Processing
• Image and Video Compression
• +۵ مورد دیگر

Haibo Li is a Full Professor of Media Technology at KTH Royal Institute of Technology, affiliated with the School of Electrical Engineering and Computer Science and Digital Futures Faculty. His roles include leading the Media Lab in MID, directing Master’s programs in Media Technology, and teaching courses like Generative AI for Media Technology and Video Technology. He holds a Technical Doctorate from Linköping University (1993) and received the Nordic Best PhD Thesis Award (1994) and Docent title in Image Coding (1997). Research focuses on digital media technologies, including image/video compression, human-computer interaction, and AI-driven media systems. He pioneered the Digital Media Lab at Umeå University and co-founded UCIT. His work spans blind image deblurring, thermal comfort sensing, and multimodal emotion recognition. Over 250 publications and six patents highlight contributions to multimedia, AI, and signal processing. Key projects include developing contactless thermal measurement systems for smart buildings, real-time gesture recognition for wearable devices, and advanced neural networks for image restoration. Awards include the Nordic Best Thesis and leadership in EU projects. He chairs conferences and actively participates in MPEG standardization efforts.

Patrizio Campisiمشاهده پروفایل

استاد

• Digital Signal Processing
• Image Processing
• Biometrics
• +۱۲ مورد دیگر

Patrizio Campisi is a Full Professor in the Section of Applied Electronics at the Department of Engineering, Roma TRE University, Rome, Italy. He leads cutting-edge research in digital signal and image processing with applications to secure multimedia communications and biometrics. He has held visiting positions at the University of Toronto, Beckman Institute (UIUC), and École Polytechnique de Nantes, and has been a Marie Curie Fellow (2010–2014). His educational background includes a Laurea (summa cum laude) in Electronic Engineering from Sapienza University of Rome and a Ph.D. in Electrical Engineering from Roma TRE University. His research focuses on secure biometric recognition (signature, keystroke, EEG, vein), digital watermarking, blind image deconvolution, HDR imaging, and privacy-preserving technologies. He has contributed significantly to template protection, multimodal biometrics, and forensic image analysis. His work bridges engineering, computer science, and security, with strong applications in mobile authentication, border control, and social media safety. The recent publications reflect a strong trend in biometrics, image forensics, and privacy-enhancing technologies, with a focus on real-world applications in mobile systems, healthcare, and law enforcement. Key themes include secure authentication, de-identification, and computational imaging. IEEE Second International Conference on Biometric Systems 2008 Best Student Paper Award IEEE Biometric Symposium 2007 Best Paper Award IEEE International Conference on Image Processing 2006 Best Student Paper Award Marie Curie Fellow (2010–2014) NATO-CNR Advanced Fellowship (2003) IEEE Senior Member Prof. Campisi has supervised numerous students and leads the BioMedia4n6 lab. He has secured major EU grants including H2020 projects AMBER, COSMOS, and ENCASE. His editorial leadership includes serving as Editor-in-Chief of IEEE Transactions on Information Forensics and Security (2018–2020) and Chair of the IEEE Information Forensics and Security Technical Committee (2017–2018). He is actively involved in research networks such as COST Actions on de-identification and biometrics-forensics integration, and has contributed to EU policy via the BEST Thematic Network on biometrics and fundamental rights. His lab, BioMedia4n6, focuses on biometrics, multimedia forensics, and privacy-aware systems.

• Software Security
• Artificial Intelligence
• Adversarial Machine Learning
• +۷ مورد دیگر

Yang Yuxiang is an Assistant Professor at the University of Hong Kong's School of Computing and Data Science. His research focuses on software security, adversarial machine learning, and AI safety, with a particular emphasis on formal methods and large language models. He holds a PhD from Hong Kong. Research interests include: Automated program repair using LLMs Cybersecurity in open-source ecosystems Adversarial attacks on vision-language models Formal verification of theorem provers Ethical implications of AI systems Recent publications explore cutting-edge topics such as causality-aware safety testing for autonomous systems , smart contract vulnerability detection , and large model safety at scale . His work bridges theoretical foundations with practical applications in secure software development and AI ethics.

Jianfei Caiمشاهده پروفایل

استاد

• Computer Vision
• Multimedia
• Visual Computing
• +۵ مورد دیگر

Roles and Affiliations: Jianfei Cai is a Professor at Monash University's Faculty of IT, leading the Department of Data Science & AI. Previously, he held roles including Head of the Data Science & AI Department, and was a Full Professor at NTU's School of Computer Science and Engineering. He is a co-recipient of multiple paper awards and an IEEE Fellow. Currently serves as General Chair for ACM Multimedia 2024 and on editorial boards of TPAMI and IJCV. Education: PhD in Electrical Engineering, University of Missouri Columbia (2002) MEng in Electrical Engineering, Southeast University (1997) BEng in Electrical Engineering, Nanjing University of Aeronautics and Astronautics (1994) Research Interests: Focuses on computer vision, deep learning, vision-language systems, 3D imaging, and medical imaging applications. His work spans generative AI, neural scene representation (e.g., Gaussian Splatting), and open-vocabulary semantic segmentation. He has published over 380 papers and led projects in trustworthy AI and 3D vision. Key Contributions: Developed MVSplat (3D Gaussian Splatting from sparse views) Pioneered open-vocabulary object detection via scene graph discovery Advanced diffusion models for multi-sensor fusion and panorama synthesis Awards and Recognition: Monash FIT Dean's Researcher of the Year Award IEEE Fellow ACCV/ICCM/IEEE ICIP paper awards Recipient of Google/Adobe research gifts Grants and Labs: Leading projects on trustworthy generative AI, 3D Gaussian splatting compression, and safe AI Former director of NTU's Data Science & AI Research Center

Bill S. Hanssonمشاهده پروفایل

استاد

• Neuroethology
• Olfaction
• Evolution
• +۶ مورد دیگر

Bill S. Hansson is the Managing Director of the Max Planck Institute for Chemical Ecology (MPICE) in Jena, Germany, and Director of the Department of Evolutionary Neuroethology. Previously, he served as Professor and Head of Chemical Ecology Division at the Swedish University of Agricultural Sciences (SLU), Associate Dean at the Faculty for Landscape Planning, Horticulture and Agricultural Sciences, and held academic positions at Lund University spanning from Assistant to Associate Professor. His research focuses on the neuroethology of insect olfaction, examining its function, anatomy, and evolutionary basis. Key interests include olfactory coding, neural processing of chemical signals, and odor-dependent behaviors in model organisms like Drosophila and moths. His pioneering work includes developing calcium imaging in moth brains and demonstrating functional organization in insect olfactory systems. Hansson's extensive publication record (200+ papers) reveals consistent focus on insect sensory biology, with recent work exploring neural correlates of odor valence, deceptive pollination systems, and molecular mechanisms of odorant reception. His research integrates neurophysiology, molecular biology, and behavioral ecology approaches. Major Honors and Awards: ISCE Silverstein-Simeone Lecture Award (2014) AChemS Givaudan Lecture Award (2013) Letterstedt Prize (2009) Swedish Linnaeus Grant: €1M/year for 10 years (2006) Elected Fellow/Member of 5 national academies including Royal Swedish Academy of Sciences He leads a research department of approximately 60 members at MPICE, where he established evolutionary neuroethology as a core discipline. His team investigates olfactory modulation across evolutionary timescales using Drosophila and hawk moth models, supported by major funding including the Linnaeus Grant.

Lawrence K Cormackمشاهده پروفایل

استاد

• Visual System
• Natural Scene Statistics
• Data Analysis and Visualization
• +۳ مورد دیگر

Lawrence K. Cormack is a Professor of Psychology and Neuroscience at the University of Texas at Austin, affiliated with the College of Liberal Arts. He holds a B.S. from the University of Florida (1986) and a Ph.D. in Physiological Optics from UC Berkeley (1992). His research focuses on 3D motion processing, natural scene statistics, and visual system dynamics. He actively contributes to the Center for Perceptual Systems and collaborates with the Institute for Neuroscience. Dr. Cormack teaches graduate statistics and advanced undergraduate courses, emphasizing data visualization and statistical methods. Education: B.S. in Psychology, University of Florida (1986) Ph.D. in Physiological Optics, UC Berkeley (1992) Research Interests: 3D Motion Perception Visual System Evolution Depth and Motion Processing Data Analysis and Visualization Teaching: Neuroscience/Psychology 384M: Graduate Statistics PSY 341K: Computer Simulations His recent work explores retinal motion statistics during natural locomotion and the integration of binocular cues for 3D perception. He has developed continuous psychophysics techniques to study visual processing delays and their impact on motor responses.

• Image and Video Quality Estimation
• Video Transport over Networks
• Video Analytics
• +۳ مورد دیگر

Amy R. Reibman is the Elmore Family School of Electrical and Computer Engineering's Elmore Professor of Electrical and Computer Engineering at Purdue University. She holds a PhD (1987), MSEE (1984), and BSEE (1983) from Duke University. Her research focuses on image/video quality assessment, video transport over networks, and video analytics with applications in agriculture, healthcare, and surveillance. She is an IEEE Fellow and recipient of the 1998 Leonard G. Abraham Prize Paper Award. Reibman teaches ECE 302: Probabilistic Methods in ECE (undergraduate) and ECE 634: Digital Video Systems (graduate). Her work integrates quality estimation into real systems and explores video analytics for activities like animal behavior analysis, hand hygiene monitoring, and farming automation. She collaborates with industry (e.g., AT&T Labs) and publishes widely in IEEE journals and conferences. Research Highlights: Video quality for IoT, first-person video stability, and agricultural video analytics. Grants/Projects: Supported by NSF and industry partnerships (e.g., video transport optimization). Her lab develops tools for stress-testing quality estimators and has contributed foundational work on packet loss resilience in video coding. Current projects include cattle intake monitoring and honeybee hive detection.

• Genomic medicine
• Neonatal intensive care
• Epilepsy genetics
• +۴ مورد دیگر

Dr. Alissa Maria D'Gama, M.D., Ph.D. is an Assistant Professor of Pediatrics at Boston Children's Hospital, specializing in the Division of Newborn Medicine. Her research bridges genomic medicine and neonatal care, with particular expertise in epilepsy genetics and brain somatic mosaicism. She is actively involved in multiple research networks including the VIGOR Network, Gene-STEPS Study Group, and the International Precision Child Health Partnership (IPCHiP). Dr. D'Gama's research interests focus on the application of genomic medicine in neonatal intensive care settings, with particular emphasis on diagnostic approaches for critically ill infants. Her work explores the utility of rapid genomic sequencing, particularly in safety-net hospitals serving vulnerable populations. She investigates brain somatic mosaicism in epilepsy, examining how genetic variants in brain tissue contribute to seizure disorders. Her research also addresses neurodevelopmental disorders, congenital anomalies, and the implementation challenges of genomic medicine in resource-limited NICU settings. Analysis of Dr. D'Gama's recent publications reveals a strong focus on translating genomic discoveries into clinical practice. Her work spans from fundamental research on somatic mosaicism in brain tissue to implementation science studies examining how to deliver genomic medicine equitably across different healthcare settings. She frequently collaborates on international consortia studying rare pediatric diseases, with particular attention to improving diagnostic yield and clinical utility of genomic testing in neonatal and pediatric populations. Dr. D'Gama has been involved in significant research initiatives including the Gene-STEPS study evaluating rapid genome sequencing for infantile epilepsy, the VIGOR Network implementing genomic sequencing in safety-net NICUs, and the IPCHiP initiative accelerating discovery in rare pediatric diseases. Her work demonstrates a commitment to addressing healthcare disparities in genomic medicine and improving outcomes for critically ill infants through precision medicine approaches. Dr. D'Gama collaborates extensively with researchers across institutions, particularly with Annapurna Poduri, Christopher Walsh, and Monica Wojcik. Her laboratory work focuses on analyzing DNA from brain tissue to identify mosaic variants related to epilepsy, while her clinical research examines implementation strategies for genomic medicine in neonatal intensive care. She is actively involved in developing consensus guidelines for reporting ultra-rare genetic conditions and improving phenotypic characterization of neurodevelopmental disorders.

Sebastian Bosseمشاهده پروفایل

پژوهشگر

• Computational Perception
• Machine Learning
• Computer Vision
• +۶ مورد دیگر

Dr.-Ing. Sebastian Bosse heads the Interactive & Cognitive Systems research group at Fraunhofer HHI in Berlin, Germany. His work integrates computational perception and cognition with machine learning and human-machine interaction , addressing applications in multimedia , augmented reality , medicine , agriculture , and industrial production . Research Interests include: Computational Perception & Cognition Machine Learning for Computer Vision Human-Machine Interaction in immersive environments AI-Driven Quality Assessment Neurophysiological Response Analysis Multi-View Gesture Recognition Recent Articles focus on multi-view coding , VR/AR applications , deepfake detection , agricultural AI , and neural quality metrics . Key collaborations span surgical robotics , explosive ordnance exploration , and agricultural phenotyping . Labs & Teams : Leads the Interactive & Cognitive Systems group at Fraunhofer HHI, specializing in pose/gesture analysis , contact-free interaction , and image quality estimation using subjective testing and neurophysiological data .

Christopher Tylerمشاهده پروفایل

استاد

• Visual Neuroscience
• Visual Perception
• Oculomotor Function
• +۷ مورد دیگر

Professor Christopher Tyler is a visual neuroscientist specializing in visual and oculomotor function and disorders at City St George's, University of London. He joined the institution in 2013 after working at several universities in the United States and maintaining a long-standing affiliation with the Smith-Kettlewell Eye Research Institute in San Francisco, where he established its Brain Imaging Center. His research spans multiple disciplines including neuroscience, psychology, and vision science, with active international collaborations across France, Germany, United States, Taiwan, Israel and Australia. Professor Tyler received his training in Experimental Psychology at the Universities of Leicester, Aston and Keele before taking postdoctoral fellowships at Northeastern University, Boston, University of Bristol and Bell Laboratories. His educational background provides a strong foundation for his interdisciplinary research that bridges visual neuroscience, psychophysics, and computational modeling. His research interests focus on the neural processing of visual information, with particular emphasis on form, symmetry, flicker, motion, color, and stereoscopic depth perception. Professor Tyler has developed effective psychophysical and electrophysiological tests for diagnosing retinal, optic nerve, visual cortical and oculomotor disorders. His current work investigates the effects of traumatic brain damage on eye movements and their brainstem control mechanisms, with significant implications for understanding and treating traumatic brain injury. Professor Tyler's extensive publication record demonstrates consistent contributions to understanding visual perception across multiple dimensions. His recent work shows a strong focus on traumatic brain injury effects on vision, advanced computational modeling of visual processes, symmetry processing, and the intersection of visual science with art history. His research bridges fundamental neuroscience with clinical applications, particularly in understanding how brain trauma affects visual function. Smith-Kettlewell Eye Research Institute (1996) Kettlewell Chair Smith-Kettlewell Eye Research Institute (1985) Kettlewell Chair American Academy of Optometry (1982) Garland-Clay Award Professor Tyler has taught courses at numerous prestigious institutions including Northeastern, UCLA, UC Santa Barbara, UC Berkeley and the University of Paris. His research has been supported by significant grants from CDMRP (US) for studying human oculomotor functions in traumatic brain injury, AFOSR (US) for encoding 3D structure in visual scenes, and NSF (US) for investigating neural dynamics of conceptual learning. He maintains an active research laboratory focused on visual neuroscience and has collaborated with numerous researchers worldwide. His research center is focused on Optometry and Visual Neuroscience, where he leads investigations into visual perception mechanisms and their applications to clinical problems. Professor Tyler's work bridges fundamental neuroscience with practical applications in vision science and clinical optometry.