Find Academic Supervisors

Filip ElvanderView profile

Assistant Professor

• Statistical signal processing
• Stochastic processes
• Audio signal processing
• +4 more

Filip Elvander is an Assistant Professor in the Department of Information and Communications Engineering at Aalto University, Finland. Previously, he served as a postdoctoral research fellow at KU Leuven (2020-2022), supported by the Research Foundation - Flanders (FWO). PhD in Mathematical Statistics (2020) and MSc in Industrial Engineering and Management (2015) from Lund University Assistant Professor at Aalto University since 2022 Leader of the Structured and Stochastic Modeling Group (SSMG) His research focuses on statistical signal processing, particularly inverse problems and optimal transport theory. Key application areas include acoustic localization, spectral estimation, audio processing, and spectroscopy. Current research directions involve: Optimal transport for geometric signal space modeling Spatio-temporal signal modeling in remote sensing and audio Misspecified modeling impacts and mitigation Optimal sampling schemes for efficient data collection Recent publications demonstrate trends in optimal transport applications for multi-pitch estimation, room acoustics, sensor networks, and audio restoration. His group includes 5 PhD students working on these topics. Awards include FWO postdoctoral fellowship (2021-2022). Collaborations span Lund University, KU Leuven, and Aalto University research teams.

Claudio FontanariView profile

Associate Professor

• Algebraic Geometry
• Birational Geometry
• Moduli Spaces
• +5 more

Claudio Fontanari is an Associate Professor of Geometry at the Department of Mathematics , University of Trento , Italy. His research spans algebraic geometry, birational geometry, and the history/philosophy of mathematics, with interdisciplinary applications in multimedia engineering. Research Focus : Algebraic curves and moduli spaces, geometric modeling, shape matching, and digital forensics. Teaching : Offers courses in Linear Algebra, Analytic Geometry, and Geometry for Industrial Engineering and Philosophy programs. Interdisciplinary Work : Exploits algebro-geometric tools like linear algebra, commutative algebra, and conformal geometry for multimedia engineering tasks such as asymmetric watermarking and digital fingerprinting. Publications highlight his contributions to multimedia security, including hierarchical watermarking schemes and genetic algorithm-based robustness evaluation. He also organizes the Multimedia Geometry Seminar , fostering academic exchange in geometry and its applications.

Jean Le FeuvreView profile

Assistant Professor

• Multimedia Systems Architecture
• Interactive Media Production and Streaming
• MPEG Standardization
• +4 more

Jean Le Feuvre is a lecturer and researcher (equivalent to Assistant Professor) in the Image, Data, Signal (IDS) department at Télécom Paris , an active member of the MPEG standardization body since 2000, and the creator of the open-source multimedia platform GPAC . He belongs to the Multimedia (MM) research team within the Information Processing and Communication Laboratory (LTCI). Research Interests: His work spans multimedia systems architecture, focusing on authoring, coding, transmission, composition, and rendering of interactive, animated contents that mix audio, video, text, images, and dynamic metadata. Key areas include: MPEG-DASH adaptive streaming and low-latency delivery ISO Base Media File Format (ISOBMFF) design and extensions HEVC/VVC-based tiled and layered media Media encryption and selective protection (Common Encryption, CENC) Hybrid broadcast–broadband services Open-source multimedia toolchains (GPAC ecosystem) Standards & Publications Trend: Over the past two decades Le Feuvre has continuously contributed to, and edited, core MPEG standards such as ISOBMFF, DASH, Common Encryption, and scene description languages. His recent 2024-2025 patents and papers emphasize low-latency streaming, efficient encapsulation of partitioned (tiled) media, robust indexing/repair mechanisms, and improved random access—demonstrating a clear trajectory toward real-time, adaptive, and secure next-generation media delivery. Scientific Awards & Honors: While no specific named awards are listed, his long-standing role as MPEG standard editor and his continuous leadership of the widely adopted GPAC open-source platform constitute significant recognition within the multimedia research community. Teaching & Supervision: He teaches Master-level courses on Multimedia Networking (M2R AV Transport & Content Security) and mentors multidisciplinary first-year student projects (PACT, PAF, ARTEFACT). He also serves as scientific contact for internships and provides corporate training on Digital TV, Mobile TV, Video over IP, and 3D TV through Télécom Paris. Laboratory & Teams: Le Feuvre is embedded in the LTCI laboratory and leads development within the GPAC open-source community, coordinating contributions to reference software, conformance tools, and end-to-end streaming solutions.

• Adaptive Video Streaming
• Internet Performance Measurements
• Peer-to-Peer (P2P) Networks
• +3 more

Turhan Tunalı is a distinguished Professor in the Department of Computer Engineering at Izmir University of Economics . He holds a BSc in Electrical Engineering from Middle East Technical University (1978), an MSc in Applied Statistics from Ege University (1980), and a DSc in Systems Science and Mathematics from Washington University in St. Louis (1985). Current Professor at Izmir University of Economics (since 2009) Director, Ege University International Computer Institute (2001–2009) Dean, Izmir University of Economics (2010–2014) Visiting Professor at Loyola University Chicago (2000–2001) His research focuses on adaptive video streaming and Internet performance measurements , with publications spanning P2P networks, WDM optical networks, and scalable video encryption. Recent work includes comparative studies on MLR routing, shared backup strategies, and hierarchical clustering frameworks for streaming systems. Key article trends reveal expertise in network resilience , adaptive algorithms , and optical communication design . He has collaborated extensively with researchers like Muge Sayit, Gül Boztok Algın, and Sercan Demirci on these topics. As an active academic leader, he has directed research institutes and served as department head, contributing to the advancement of computer engineering through both theoretical and applied research.

Ioannis PratikakisView profile

Professor

• Computer Vision
• 3D Image Processing
• Document Image Analysis
• +3 more

Ioannis Pratikakis serves as a Professor in the Department of Electrical and Computer Engineering at Democritus University of Thrace (DUTH), where he has held a faculty position since 2010. Previously, he worked as a collaborating researcher at the Institute of Informatics and Telecommunications of NCSR 'Demokritos' (2003-2010) and completed postdoctoral research at IRISA/INRIA in Rennes, France until 2000. His academic background includes a PhD in digital 3D image processing and analysis from the Vrije Universiteit Brussel (Belgium), awarded in January 1999. Pratikakis's research spans computer vision, 3D image processing, and document analysis, with core expertise in 2D/3D image sequence analysis, pattern recognition, and multimedia information retrieval. His work bridges theoretical computer vision with practical applications in cultural heritage preservation, medical imaging, and human-computer interaction. Analysis of his publication trends reveals sustained innovation in 3D vision systems, particularly in human action recognition from mesh sequences, facial expression analysis, and unsupervised methods for historical document processing. Recent work increasingly integrates deep learning for medical diagnostics while maintaining strong contributions to cultural heritage digitization. He actively leads research through major projects including μtS (historical manuscript transcription), READ (archival document enrichment), and TRANSCRIPTORIUM (handwritten document recognition), alongside European initiatives like H2020-EINFRA-9-2015 and FP7-ICT frameworks. Pratikakis directs research activities within DUTH's Electrical Circuits, Signal and Image Processing Laboratory, mentoring students through undergraduate courses (Computer Vision, Computer Graphics) and postgraduate instruction (Digital Video Editing, 3D Graphics). His professional engagement includes senior IEEE membership, Technical Chamber of Greece affiliation, and leadership in the Hellenic Society for Artificial Intelligence (2010-2014).

Wenbo HeView profile

Professor

• Machine Learning
• Privacy-Preserving Machine Learning
• Wireless Networks
• +7 more

Wenbo He is a Professor in the Department of Computing and Software at McMaster University 's Faculty of Engineering. His research bridges Machine Learning , Privacy-Preserving Technologies , and Networked Systems , with a focus on secure federated learning , data anonymization , and wireless network optimization . Contact: hew11@mcmaster.ca Research Interests include: Machine Learning : Robustness under label noise, ensemble models, and 2D/3D classification. Privacy : Differentially private feature operations, encrypted classification, and location privacy. Networking : Software Defined Networking (SDN), wireless ad hoc networks, and crowdsensing. Recent Publications span IEEE Transactions on Mobile Computing , IEEE Infocom , and NeurIPS , with themes in: Security : Data poisoning, web shell obfuscation, and correlation attacks. AI/ML : Noise-robust models, face anonymization, and video action recognition. Systems : RFID optimization, cloud storage, and energy-efficient data centers. Teaching highlights include courses like Real-Time Systems , Computer Networks and Security , and Big Data Systems since 2017.

• Information Security
• Applied Cryptography
• Vehicular Networks (VANETs)
• +4 more

Isabel Victoria Martin-Faus is a Researcher at the Polytechnic University of Catalonia (UPC) in the Department of Telematics Engineering , with a focus on the Information Security Group (ISG-MAK) . Her work spans cybersecurity, applied cryptography, vehicular networks, and quality of service (QoS) in heterogeneous communication environments. Research Interests: Specializing in Behavior-based intrusion detection systems for IoMT Markov-reward modeling for VANETs QoS frameworks for adaptive video streaming Security in public blockchain applications Performability analysis of network protocols Project Involvement: Key contributor to national and regional R&D initiatives including Cátedra CARISMATICA (cybersecurity chair) and SECONNET (secure multimedia commerce on heterogeneous networks). Collaborator in journals like IEEE Transactions on Vehicular Technology and Computer Communications. Contact: ORCID 0000-0001-9975-8791 | WoS Researcher ID K-8187-2015 | Scopus ID 35619876000

David McDonnellView profile

Associate Professor

• Computer Music
• Spectral Composition
• Jazz Fusion
• +6 more

David McDonnell is an Associate Professor at Temple University's Boyer College of Music and Dance, specializing in Music Studies. A composer, computer music programmer, and saxophonist, he bridges spectral composition with rhythms from his 15-year career in Chicago's rock/jazz scene. DMA, University of Cincinnati-College Conservatory of Music MM, DePaul University BM, DePaul University McDonnell's research integrates algorithm-driven computer music with non-Western rhythmic traditions (e.g., African polyrhythms) and live percussion. His work explores ambient soundscapes, electro-acoustic techniques, and cultural contexts of electronic dance/world music. Conference presentations like Trapped by Polygons (2015 SEAMUS) and lecture recitals (e.g., Elements and Strategies in Computer Generated Music ) highlight his focus on blending computational methods with improvisation and multimedia.

Manolis SangriotisView profile

Associate Professor

• Image Processing
• Computer Vision
• Stereo Image Coding
• +4 more

Manolis Sangriotis is an Associate Professor at the National and Kapodistrian University of Athens, affiliated with the Department of Informatics and Telecommunications. His academic journey began with a B.Sc. in Physics (1970), followed by M.Sc. degrees in Electronics and Radioelectrology (1973) and Electronic Automation (1975), culminating in a Ph.D. in Informatics and Telecommunications (1980) from the University of Athens. His research focuses on image processing , computer vision , and 3D imaging , with emphasis on stereo image coding, integral photography, and real-time compression architectures. He explores applications in medical imaging, autostereoscopic displays, and multimedia systems, leveraging wavelet transforms, morphological operations, and statistical clustering. Recent publications (2012–2004) reveal a strong trend toward integral imaging innovations , including rectification frameworks, watermarking, and 3D-DCT compression. His work consistently addresses challenges in multiview data representation, disparity estimation, and photorealistic rendering, bridging computer vision with optical engineering. Scientific Awards: Best Paper Award at IEEE 8th International Conference on Intelligent Information Hiding and Multimedia Signal Processing (2012) He actively advises PhD students, including Eirini Kostopoulou, Tzanoukos Georgios, and Papageorgiou Louis. His research group collaborates on projects related to real-time systems and image datasets, often supported by institutional grants. As part of the RTSImage laboratory, he contributes to developing computational tools for image analysis and compression, with applications spanning medical diagnostics and 3D display technologies. Future directions include advancing omnidirectional imaging and robustness in automated biomedical assessments.

PerMagnus LindborgView profile

Associate Professor

• Sound Art
• Composition
• Sonification
• +12 more

PerMagnus Lindborg is a composer, sound artist, and researcher in sound perception with over 150 scholarly publications, compositions, and media artworks. Currently serving as Associate Professor at City University of Hong Kong's School of Creative Media, he teaches sound, music, research skills, and perception while coordinating research degrees. PhD: KTH Stockholm (2015) DEA: Paris (2003) IRCAM: Paris (1999) BMus: Oslo His research focuses on sound perception , sonification , spatial audio , multi-sensory environments , and data-driven art . He pioneered low-cost spatial audio solutions through the Open Ambisonics Toolkit and explores sensory heritage documentation via soundscapes and smellscape analysis in Hong Kong. Recent publications demonstrate trends in climate data sonification , neural audio processing , and immersive sound design . His work intersects computer music , psychoacoustics , and environmental art . Scientific Awards : Best New Director (World Film Carnival, Cannes Short Film Festival, ISA Awards - 2020) First Prize (Stavanger Symphony Orchestra Prize - 2002) Fellowships: The Arctic Circle (2023), SCM Team Research (2020-25), TBA The Current (2016) As principal investigator for Multi-Modal Hong Kong (GRF 2023-25) and Data Art for Climate Action (2020-23), he supervises PhD students in areas like multi-sensory cultural heritage , deep learning audio processing , and virtual reality sound design . He co-founded the SoundLab and DACA Conference .

Fabien PierreView profile

Associate Professor

• mathematics
• computer science
• image processing
• +5 more

Fabien Pierre is an Associate Professor at the University of Lorraine in Nancy, France, affiliated with the MAGRIT/Tangram team at LORIA (Lorrain Research Laboratory in Computer Science and its Applications), a joint research unit between CNRS, Inria, and the University of Lorraine. He has been a lecturer at the University of Lorraine since 2017 and previously served as Head of the DUT/BUT MMI (Multimedia and Internet Professions) department at the IUT of Saint Dié from September 2019 to August 2022. His educational background includes: Doctor of Applied Mathematics from the University of Bordeaux (2016) Master 2 in Signal and Image Processing, with honors (2013) Master 2 in Fundamental Mathematics, with honors (2011) Mathematics Aggregation, specializing in Probability and Statistics (2012) Fabien Pierre's research focuses on the intersection of mathematics, computer science, and image processing. His work primarily centers on image and video colorization, enhancement, and restoration techniques. He has developed innovative approaches combining variational methods with deep learning for various applications including medical imaging, film restoration, and video processing. His research has significant applications in medical diagnostics (particularly for aneurysm detection), quality control in industrial settings, and cultural heritage preservation through film restoration. His recent publications (2021-2023) demonstrate a clear trend toward applying deep learning to medical imaging challenges, particularly in aneurysm detection, while continuing to advance colorization techniques with novel hybrid approaches that combine traditional variational methods with modern neural network architectures. This evolution reflects his ability to adapt mathematical frameworks to leverage emerging AI technologies. As a scientific manager, he leads the ANR Arcé project focused on Automatic Colorization of Videos. His software contributions include COLOCIEL, a graphical interface for image colorization, and various Matlab toolboxes for contrast enhancement and image processing. He actively mentors the next generation of researchers, having co-supervised several doctoral theses and internships. His current advisee is Nicolas Maignan, while he has previously supervised Arthur Renaudeau, Youssef Assis, and Gaetano Agazzotti. His teaching portfolio spans DUT-level courses in scientific culture, algorithms, and JavaScript, as well as Master's level instruction in deterministic tools and models for information systems. Based at INRIA Nancy Grand Est, Pierre operates within a robust research ecosystem that bridges theoretical mathematics with practical computer vision applications across multiple domains.

Bing WangView profile

Professor

• Computer Networking
• Quantum Communications
• Network Security
• +4 more

Professor Bing Wang is a faculty member in the Computer Science & Engineering Department at the University of Connecticut. He leads the Computer Networking Research Group, focusing on computer networking, ubiquitous computing, multimedia streaming, network security, and quantum communications. His research integrates machine learning for depression treatment prediction using smartphone data and explores secure quantum key distribution systems. Research interests span quantum networks, adaptive bitrate streaming optimization, wireless network routing strategies, and leveraging mobile sensory data for mental health diagnostics. His work addresses challenges in network security (e.g., BGP hijacking defenses), energy-efficient streaming, and resilient microgrid systems through programmable networks. Publications emphasize cross-disciplinary applications of networking principles, including depression symptom prediction via smartphone sensors and quantum repeater security. Notable contributions include frameworks like C2 for ABR streaming and BGP-Isec for routing security. His group actively develops methodologies for optimizing network performance while balancing resource usage and user experience.

Mohamed KhabouView profile

Professor

• Image Analysis
• Pattern Recognition
• Machine Learning
• +4 more

Dr. Mohamed Khabou serves as a Professor in the Department of Electrical and Computer Engineering and Dean of the Hal Marcus College of Science and Engineering at the University of West Florida. He holds a Ph.D., M.S., and B.S. in Electrical Engineering from the University of Missouri. His research spans multi-component image analysis, gender equity in engineering, historical artifact digitization, and distance learning impact analysis. He has authored over 30 publications in IEEE Transactions and other journals, and his work includes systems for mosaic image indexing, actigraphy signal analysis, and land mine detection. Dr. Khabou has mentored over 60 engineering capstone projects, many of which achieved regional/national recognition. He teaches Microprocessor Applications, Digital Logic, and Pattern Recognition courses. His 2013 Faculty Excellence in Teaching Award reflects his dedication to pedagogy. Collaborative research areas include underrepresentation of women in engineering and interactive distance-learning laboratory development. Key research themes include spectral geometry for shape recognition, fuzzy logic applications in cultural heritage preservation, and adaptive machine learning systems. His work bridges theoretical foundations (eigenvalue analysis, Laplacian operators) with practical applications in education technology and biomedical signal processing.

Marcos RodriguesView profile

Professor

• Robotics and AI
• Advanced Modelling
• 3D Imaging
• +7 more

Professor Marcos Rodrigues is the Head of the Geometric Modelling and Pattern Recognition (GMPR) Group at Sheffield Hallam University, within the Communication and Computing Research Centre and Culture and Creativity Research Institute. His research focuses on pattern recognition, sensor design, and 3D imaging with applications in robotics, medical engineering, security, and animation. He has pioneered world-leading technologies in fast 3D acquisition and data compression, earning patents and over 20 grants from EPSRC, EU, and industry. He teaches MSc courses in Artificial Intelligence, Network Applications, and Operating Systems. His work spans over 200 publications, emphasizing machine learning, medical informatics, and cybersecurity. Notable projects include the GMPR's 3D digitization of Sheffield Metalwork Collection and initiatives like MARWIN (Advertising Monitoring) and ADMOS (Outdoor Media Analytics). Research interests include AI-driven healthcare monitoring, facial expression analysis for patient risk assessment, and secure cloud computing. He has supervised PhD students in compression algorithms, medical imaging, and cybersecurity. His labs focus on advancing 3D reconstruction, data security, and real-time systems.

Mihai V. MICEAView profile

Professor

• Intelligent Robotic Environments
• Energy Management and Optimization
• Embedded and Real-Time Systems
• +5 more

Mihai V. Micea is a Professor and Head of the Department of Computer and Information Technology at the Politehnica University of Timisoara. He also serves as Director of the CCCTI Research Center and Coordinator of the DSPLabs. With a B.Sc., M.Sc., and Ph.D. (Cum Laude) from Politehnica University of Timisoara, he has been a faculty member since 1996. His research focuses on intelligent robotic environments, energy management, embedded systems, and real-time hardware/software systems. He has supervised 4 completed PhD theses and currently oversees multiple doctoral candidates. Micea has authored over 125 publications, 3 patents, and managed over 50 R&D projects worth €1.88M. His awards include the 'Eminent Young Researcher of Timisoara' (2006) and the IEEE Outstanding Reviewer Distinction (2017). Education: B.Sc. in Computer Engineering (Politehnica University of Timisoara, 1995) M.Sc. in Computer Engineering (Politehnica University of Timisoara, 1996) Ph.D. in Computer Engineering (Politehnica University of Timisoara, 2005) Habilitation Degree (2015) Research Interests: His work spans intelligent robotic systems, energy optimization, signal processing, and real-time embedded systems. Key areas include cyber-physical systems, sensor networks, and secure IoT communication protocols. His recent projects include RoNaQCI (Quantum Communication Infrastructure) and TEEFIOS (Time-Efficient Framework for Smart Devices). Grants & Projects: As Principal Investigator/Manager, he has led 29 projects with total funding exceeding €1.88M. Notable projects include CloudPUTing (High-Performance Cloud Platform) and MELISSEVS (Robotic-Sensor Collaboration Models). Awards & Recognition: 2006: Eminent Young Researcher of Timisoara (ANCS) 2017: IEEE T-IM Outstanding Reviewer Labs & Teams: Founder and Coordinator of DSPLabs (Digital Signal Processing Laboratories), focusing on real-time systems and smart sensing. Active in IEEE SSIT Romanian Chapter (2013–2022) and international conference organization (e.g., IEEE ROSE 2014).