جست‌وجوی استاد و پژوهشگر

Stéphane Coulombeمشاهده پروفایل

استاد

• Video Processing
• Video Compression
• Immersive Video
• +۴ مورد دیگر

Stéphane Coulombe is a Professor in the Department of Software Engineering and IT at École de technologie supérieure (ÉTS). He holds a B.Eng. from Polytechnique Montréal and a Ph.D. from INRS Telecommunications. His research focuses on video processing, compression, immersive video systems, and reliable video transmission. He co-leads the Summit Tech Research Chair in Immersive and Interactive Video, aiming to advance immersive video technologies through compression optimization, AI integration, and low-latency transmission methods. Key collaborations include the LABMULTIMEDIA and SYNCHROMÉDIA research laboratories. Research interests span video quality assessment, error correction, and real-time video delivery. Notable achievements include the 2012 Best Paper Award and the 1997 Director General’s Award of Excellence. He has advised numerous doctoral and master’s students, contributing to breakthroughs in HEVC transcoding, deep learning-based error correction, and immersive video standards. Publications highlight advancements in no-reference quality metrics, CRC-based error correction, and 360-degree video compression. Over 50 patents reflect his work on video encoding, transcoding systems, and adaptive multimedia messaging. Current projects address MPEG immersive video standards, VR streaming, and AI-driven video analytics.

Irene Violaمشاهده پروفایل

پژوهشگر

• Multimedia Compression
• Quality of Experience (QoE)
• Extended Reality (XR)
• +۳ مورد دیگر

Irene Viola is a senior tenured researcher at Centrum Wiskunde & Informatica (CWI) in the Distributed and Interactive Systems (DIS) group. Her work focuses on Quality of Experience (QoE) metrics, immersive multimedia systems , and point cloud streaming . Current projects: AMPLIFY (Horizon Europe), OPEN-DASH-PC (SPIRIT Open Call), INDUX-R (Horizon Europe), TransMIXR (Horizon Europe), VOXReality (Horizon Europe) Education: PhD in Electrical and Electronic Engineering (EPFL), MSc in Computer Engineering (Polytechnic University of Turin/EPFL), BSc in Cinema and Media Engineering (Polytechnic University of Turin) Her research bridges multimedia compression , human-centric XR systems , and adaptive streaming protocols . Recent publications analyze visual saliency in 3D, PCA-based quality metrics, and social interaction latency thresholds. Awards include the 2023 IEEE Multimedia Best Paper, 2019 APSIPA Sadaoki Furui Prize, and 2022 IEEE Best Demo. Projects highlight her expertise in AI/XR integration , open-source VR platforms (VR2Gather), and 5G/XR architectures . She collaborates across Europe (Horizon Europe) and with institutions like EPFL and Nagoya University.

Iakovos Venierisمشاهده پروفایل

استاد

• Distributed Systems
• Security and Privacy
• Computer Networks
• +۱۰ مورد دیگر

Iakovos Venieris is a Professor at the School of Electrical and Computer Engineering, National Technical University of Athens (NTUA), with over 350 publications and leadership of the ICBNet research group. He holds a PhD in Electrical and Computer Engineering from NTUA (1990) and a Dipl.-Ing. from the University of Patras (1988). Research Interests : Distributed systems, security & privacy, machine learning in networks, wireless communications, intelligent networks, and communications software architecture. His scientific contributions span federated learning for 6G/IIoT, MIMO-OFDMA optimization, privacy-aware access control, and intelligent broadband networks. Recent works focus on stacked intelligent metasurfaces, beamforming, and constraint-aware edge AI. Awards : Recipient of multiple national and international academic awards, with papers nominated for top conference honors (e.g., EuCAP 2015 Best Paper, GIIS 2018 Best Student Paper). Leadership Roles : Director of ICBNet, contributor to IEEE/ACM journals, and co-editor of foundational books on broadband networks and object-oriented software. Projects : Led national/international initiatives in network management, telehealth platforms (inCASA), and cyber-physical system standardization.

• Human-Computer Interaction
• Image Processing
• Digital Signal Processing
• +۴ مورد دیگر

Yoichi Kato serves as a Professor (without tenure) at Waseda University's School of Creative Science and Engineering and Global Center for Science and Engineering. He maintains additional affiliations with the Graduate School of Creative Science and Engineering and the Global Education Center. His academic profile spans decades of research and teaching in information and communication technologies, with particular expertise in video coding algorithms, image processing, and human-computer interaction systems. Professor Kato's research interests focus on Human interface and interaction, Image Processing, Digital Signal Processing, and Design Thinking. His scholarly trajectory demonstrates a progression from foundational work in signal processing during the 1980s-1990s toward more applied, interdisciplinary research in recent years. Early publications established his expertise in motion picture coding algorithms and image restoration techniques, while his current work explores IoT applications, machine learning prototyping methods, and user-centered design approaches. Analysis of his publication history reveals significant contributions to video compression standards and image processing algorithms, with recent research expanding into collaborative systems, disaster prevention technologies, and educational applications. His work bridges theoretical foundations with practical implementations, particularly evident in his recent projects involving drone-based terrain analysis and automated plant monitoring systems. Professor Kato actively supervises graduate students through Master's Thesis projects in the Department of Modern Mechanical Engineering and Research on Neuro Robotics. His teaching portfolio includes diverse courses such as SHIP Field Practice, Modern Information and Communication Systems, Exercise for Co-Creation workshop, and Introduction to Python Programming, reflecting his interdisciplinary approach to education. His laboratory activities center on practical applications of information technologies, with current projects examining drone applications for disaster prevention, remote plant monitoring systems using IoT technology, and prototyping methodologies for machine learning applications. These initiatives demonstrate his commitment to translating theoretical knowledge into real-world solutions that address contemporary challenges.

• Information Technology
• Communication Engineering
• Image Processing
• +۳ مورد دیگر

Hiroshi Watanabe is a Professor at Waseda University 's Department of Communications and Computer Engineering , School of Fundamental Science and Engineering. With a Doctor of Engineering from Hokkaido University (1985), his career spans NTT Human Interface Laboratories (1985-2000) and academic leadership at Waseda since 2000, including chairing ISO/IEC JTC 1/SC 29 (1999-2006). A Fellow of IEEE , IEICE , and other institutions, he focuses on image/video coding , machine vision , and multimedia distribution . Education: BE, ME, Ph.D. in Electronic Engineering (Hokkaido University) Professional Affiliations: IEEE, IEICE, IPSJ, ITE, IIEEJ His research bridges image/video processing with deep learning , emphasizing machine-centric coding , real-time detection , and multimodal analysis . Key recent work includes: Novel image coding frameworks combining edge learning and diffusion models Super-resolution techniques for QR codes and medical imaging Advanced object detection using non-local modules and attention networks 3D pose estimation and point cloud analysis for robotics and healthcare He has received prestigious awards including the 2005 Information Processing Society of Japan Standardization Contribution Award and multiple earlier honors. His recent publications (2024-2025) demonstrate leadership in machine vision coding , real-time medical detection , and multimodal signal processing , often integrating stable diffusion , feature fusion , and parameter-efficient models .

Christian Rohlfingمشاهده پروفایل

پژوهشگر

• Signal Processing
• Data Compression
• Audio Source Separation
• +۳ مورد دیگر

Dr.-Ing. Christian Rohlfing is a Researcher at the Institute of Communications Engineering , RWTH Aachen University . His work spans genomic data compression , audio source separation , and video coding . Rohlfing’s research focuses on efficient genomic sequence compression using entropy coding, context-based methods, and standardization within MPEG-G . He also advances point cloud compression via graph transforms and adaptive entropy coding, and audio/video coding with non-negative matrix factorization (NMF), dictionary learning, and convolutional neural networks (CNNs). His publications (2011–2023) reflect expertise in signal processing for multimedia and bioinformatics , with applications in spatial audio coding , informed source separation , and gene variation compression . Rohlfing contributes to international standards like ITU-T and ISO/IEC MPEG , particularly in Versatile Video Coding (VVC) and MPEG-G for genomic data.

• Data Storage Systems
• Blockchain Technology
• Machine Learning
• +۴ مورد دیگر

Dr. Bin Li is an Assistant Professor in the Department of Management at the Naveen Jindal School of Management, University of Texas at Dallas. He specializes in accounting and teaches courses like 'Introduction to Financial Accounting,' emphasizing financial statement analysis for undergraduate students. Dr. Li holds a Ph.D. in Business Administration from Duke University (2012), an M.S. in Computer Science from Tsinghua University (2007), and a B.S. in Economics from Renmin University (2005). His research focuses on data storage systems, blockchain technology, machine learning applications, and neural network optimization. Key areas include hybrid SSD management, DNA storage innovations, stochastic computing for adversarial defense, and graph processing efficiency. He has pioneered techniques such as encoding schemes to enhance DNA storage density and hybrid learning-based SSD mapping strategies. His recent work explores large language model (LLM) applications for storage system analysis and integrates semantics-aware approaches in blockchain key-value stores. He also investigates energy-efficient storage solutions and sustainable SSD lifecycle management. Dr. Li has received the Best Paper Award from the American Accounting Association’s Financial Accounting and Reporting Section for his collaborative study on FASB standards’ shareholder value impact. His research grants and collaborations involve interdisciplinary projects at the intersection of computer science and accounting, with a focus on real-world applications in storage technologies and financial systems. Dr. Li is affiliated with research groups advancing next-generation storage architectures and participates in academic initiatives promoting sustainable computing practices.

Yu Luمشاهده پروفایل

استادیار

• Video Coding
• Image Processing
• Machine Learning
• +۳ مورد دیگر

Yu Lu is an Assistant Professor in the Department of Biological & Ecological Engineering at Oregon State University. Their research focuses on video coding, image processing, and algorithm optimization with applications in multimedia systems and computer vision. Current interests include fast video compression algorithms, salient object detection, and error resilience in 3D video coding. Yu Lu has published extensively on topics such as HEVC/SHVC intra/inter coding optimizations, sparse regularization techniques for image restoration, and Bayesian decision models for scalable video coding. Research highlights include developing multi-stage motion estimation algorithms for versatile video coding (VVC), fast intra-coding methods using online learning, and depth map error concealment strategies for 3D video. Their work bridges algorithmic efficiency and practical multimedia applications, with publications spanning both traditional video coding standards (HEVC) and emerging formats like screen content coding. Publications trends show a strong emphasis on optimizing video encoding processes through hierarchical classification, adaptive switching mechanisms, and edge-assisted mode decisions. Earlier work (2013) explored piezoelectric material analysis, indicating interdisciplinary research interests. No awards or grants are explicitly listed in the provided materials.

• Signal Processing
• Information Theory
• Video Coding
• +۵ مورد دیگر

Dr. Fabio Verdicchio is a Lecturer in the School of Engineering at the University of Aberdeen, UK, holding this position since August 2010. He serves as EEE Programme Leader (January 2022–present) and is a member of the Electronics and Optical Engineering research group. Education: Electronic Engineering (summa cum laude), Universita degli Studi Federico II, Naples, Italy (2002) PhD in Applied Sciences, Vrije Universiteit Brussel, Brussels, Belgium (2007) His research spans signal processing, information theory, and multimedia systems with focus on distributed computing, peer-to-peer networks, and video transmission over unreliable networks. Current work addresses distributed sensing for disaster response and rural connectivity, plus multiview processing for 3D video synthesis and super-resolution. He investigates scalable coding, motion-vector techniques, and rate-distortion modeling for video standards. Publications from 2003–2006 reveal deep expertise in video coding standardization (MPEG), error resilience, and motion-compensated temporal filtering. His work pioneered embedded multiple description quantization and scalable motion-vector coding, contributing directly to international standards. Scientific awards: None documented in source materials. Teaching includes course coordination for Computer/Software Engineering and Electrical & Electronics Design. He supervises student projects and maintains collaborations with UCLA, University College London, Ghent University, and industrial partners ST Microelectronics/IMEC. His IEEE membership supports ongoing research in resilient multimedia systems. Research infrastructure involves the Electronics and Optical Engineering group with academic-industrial partnerships targeting wireless video distribution, remote monitoring, and vehicular telemetry applications.

Cornelius Hellgeمشاهده پروفایل

استاد پژوهشی

• Video Coding
• 5G Networks
• Mobile Networks
• +۴ مورد دیگر

Cornelius Hellge is the Head of the Multimedia Communications Group at Fraunhofer Heinrich Hertz Institute since 2015. He holds a Dipl.-Ing. in Media Technology from Ilmenau University of Technology (2006) and a Dr.-Ing. (summa cum laude) from Berlin University of Technology (2013). He was a Visiting Researcher at MIT's Network Coding and Reliable Communications Group in 2014. His work focuses on video communication, 5G evolution, volumetric video formats, and VVC system integration. He contributes to standards bodies like 3GPP, MPEG, and IETF. He has authored over 60 publications and holds 40+ patents in video and mobile networks. Research interests include volumetric video for mixed reality, scalable video coding, and low-latency 5G enhancements. Awards include the IEEE ICCE’14 Best Paper Award. His team develops advanced video coding concepts, including neural network-based compression and efficient random access mechanisms. Projects involve 5G-XR, immersive media, and network optimization for vehicular communication (V2X). Publications span topics like NR-U wideband enhancements, sidelink feedback, and entropy coding. He oversees labs advancing video communication protocols and hardware-software integration for next-gen networks.

Ruedi Seilerمشاهده پروفایل

استاد

• Quantum Hall Effect
• Mathematical Physics
• Information Theory
• +۵ مورد دیگر

Professor Ruedi Seiler is a faculty member at the Technical University of Berlin, affiliated with the Faculty of Mathematics and Natural Sciences and the Institute of Mathematics. His office is located at Straße des 17. Juni 136, 10623 Berlin, Germany, with contact information including office telephone (+49 30 - 314 25 761) and email (seiler@math.tu-berlin.de). Professor Seiler's research spans multiple domains within mathematical physics and information theory. His primary interests include: Quantum Hall Effect and related topological phenomena in condensed matter physics Information theory, data compression, and universal source coding Quantum information theory and Q-typical configurations Distributed systems and peer-to-peer network architectures E-Pedagogy for large mathematics courses at the university level His publication record spans nearly four decades, with recent work focusing on quantum information theory, distributed virtual environments, and mathematical aspects of data compression. His research shows a consistent thread connecting mathematical rigor with physical applications, particularly in quantum systems and information processing. Professor Seiler has collaborated extensively with researchers across disciplines, including physicists working on quantum Hall systems, computer scientists developing distributed systems, and mathematicians exploring information-theoretic concepts. His work bridges theoretical mathematics with practical applications in physics and computer science.

Thomas Wiegandمشاهده پروفایل

استاد

• Video Coding
• Multimedia Compression
• Image and Video Transmission
• +۵ مورد دیگر

Prof. Dr.-Ing. Thomas Wiegand is Executive Director of the Fraunhofer Heinrich Hertz Institute and Professor of Information Technology at the Technical University of Berlin, where he is affiliated with the Department of Electrical Engineering and Computer Science. His work bridges academic research and industrial innovation in multimedia and telecommunications. His research focuses on video coding, compression, and transmission , with significant contributions to global standards such as H.264/AVC and H.265/HEVC. He has expanded into artificial intelligence for health , leading the ITU/WHO Focus Group on AI for Health since 2018. His work is characterized by deep engagement with international standardization bodies including ITU-T, ISO/IEC MPEG, and VCEG. Wiegand has received numerous accolades for his technical leadership, including multiple Emmy Engineering Awards, the IEEE Masaru Ibuka Award, and the Karl Heinz Beckurts Prize. He is recognized as one of the most cited researchers in engineering and is a member of both Acatech and Leopoldina. ATAS Primetime Emmy Engineering Award (H.264/MPEG-AVC) ATAS Primetime Emmy Engineering Award (H.265/MPEG-HEVC) NATAS Technology & Engineering Emmy Awards IEEE Masaru Ibuka Technical Field Award Eduard Rhein Technology Award Karl Heinz Beckurts Award Thomson Reuters 'World's Most Influential Scientific Minds' (since 2014) ITU150 Award Member, Acatech Member, Leopoldina He has advised multiple research projects and secured major funding through his leadership at Fraunhofer HHI and collaborations with industry and international organizations. His consulting work includes past engagement with Skyfire, Inc. and current work with Vidyo, Inc. He has mentored students and researchers, though specific advisees are not listed in the source. Wiegand leads cutting-edge research teams at the Fraunhofer Heinrich Hertz Institute, focusing on next-generation multimedia systems, AI-driven video analysis, and health informatics. The institute operates as a key node in Germany’s applied research ecosystem, collaborating with industry, academia, and global standardization bodies.

Mihai Mitreaمشاهده پروفایل

استاد

• Digital Signal Processing
• Multimedia Security
• Image and Video Processing
• +۴ مورد دیگر

Dr. Mihai Mitrea is a Professor at Telecom SudParis and a key member of the ARMEDIA research team. His work spans Digital Signal Processing , Multimedia Security , and Blockchain Technology , with a focus on video watermarking, content authentication, and adaptive media systems. Research Interests: Robust and semi-fragile video watermarking techniques Blockchain applications in media content tracking and authentication Statistical modeling for multimedia signal processing HEVC/MPEG-4 AVC domain analysis AI-driven sharpness-aware watermarking Recent Article Trends: His publications (2017–2025) highlight advancements in blockchain-assisted content verification, neural network watermarking robustness, and saliency detection in compressed video. Collaborative work with teams in France, Canada, and India further emphasizes cross-disciplinary applications in mobile multimedia and semantic remote display frameworks. Labs & Teams: Affiliated with ARMEDIA at Telecom SudParis, Professor Mitrea contributes to cutting-edge research in multimedia security and blockchain integration for Internet of Media Things (IoMT).

Titus Zahariaمشاهده پروفایل

استاد

• Computer Vision
• 3D Point Cloud Compression
• Neural Networks
• +۵ مورد دیگر

Titus Zaharia is a Professor at Telecom SudParis, affiliated with the SAMOVAR research department. His work focuses on computer vision, 3D data compression, neural networks, and augmented reality applications. He has contributed extensively to standards like MPEG-4 and MPEG-7, particularly in 3D mesh compression and multimedia indexing. Zaharia leads research in assistive technologies for visually and hearing-impaired individuals, developing systems like DEEP-HEAR and wearable devices for navigation assistance. His work bridges theoretical advancements with practical industrial applications, such as optimizing AR systems for manufacturing and improving public transportation prediction through machine learning. Zaharia has collaborated on projects like the INVENIO platform for content reuse in multimedia production, and his contributions span over 20 years of academic and applied research. Key research areas include dynamic point cloud compression, lightweight neural network libraries (e.g., FasterAI), and multimodal fusion for video advertising and accessibility. He has published over 100 peer-reviewed papers in journals like IEEE Access and Image and Vision Computing, and presented at conferences including CVPR, ICCV, and ISMAR. His research emphasizes real-world impact, addressing challenges in efficient data representation, human-centric technology, and industrial automation.

Colas Schretterمشاهده پروفایل

استاد مهمان

• Digital Holography
• Biomedical Imaging
• Image Compression
• +۳ مورد دیگر

Colas Schretter is a postdoctoral researcher and paid visiting professor at the Vrije Universiteit Brussel , affiliated with the Department of Electronics and Informatics. His research spans digital holography, biomedical imaging, and advanced signal processing techniques. Current projects include GEAR: Venturing into future health technologies (2021–2025) focusing on photoplethysmography and holographic image quality improvement. Previously led FWOAL784 (2015–2018) on hologram classification and compression. Research Interests : Digital holography for biomedical applications, lossless image compression algorithms, motion compensation in dynamic holography, and health technology innovation. His work bridges optical engineering, computer science, and real-time data processing. Recent Publications highlight advancements in hologram compression, spectrometer calibration, and 4D light field coding, reflecting his interdisciplinary focus. Collaborations include co-chairing conferences like ITF2018 Belgium and contributing to IEEE Access and SPIE proceedings.