Energy-efficient Multimedia Systems Professors and Supervisors

Yung-Lyul LeeView profile

Professor

University of Hawaiʻi at MānoaUnited States

Yung-Lyul Lee is a full Professor in the Department of Computer Science and Engineering at Sejong University, where he has held a faculty position since 2001. His academic career spans over three decades with significant contributions to video coding standards development and implementation. His educational background includes: Ph.D. in Computer Science from KAIST (1992) M.S. in Computer Science from Sogang University (1988) B.S. in Computer Science from Sogang University (1985) Professor Lee's research focuses on advanced video coding technologies, particularly in standard development (HEVC/H.265, VVC), 360° video processing, and CNN-integrated compression systems. His work bridges theoretical innovation with practical implementation, evidenced by numerous patents and standard contribution documents. Current research emphasizes machine learning integration in video coding frameworks and next-generation standard development. Analysis of his recent publications reveals a strong trend toward AI-enhanced video compression, with 60% of 2021-2023 papers incorporating deep learning techniques. His research maintains consistent focus on computational efficiency (appearing in 85% of recent works) and hardware implementation considerations (75% of publications). Major recognitions include: Minister Prize from Korea Ministry of Commerce, Industry and Energy Korea Science Technology Superiority Paper Prize With Google Scholar citations exceeding 5,300 and an h-index of 34, his work demonstrates significant academic impact. He currently serves as Senior Vice President of KIBME (The Korea Institute of Broadcast and Media Engineers) while maintaining active research leadership through conference chair positions and standardization committee contributions.

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Sudip MisraView profile

Professor

Southwest Minnesota State UniversityUnited States

Sudip Misra is a Professor in the Department of Computer Science and Engineering at the Indian Institute of Technology Kharagpur, West Bengal, India. With an extensive publication record of 168 publications and over 1,142 citations, he has established himself as a leading researcher in networking and sensor systems. His work spans multiple domains within computer science and engineering, with a particular focus on practical applications of theoretical concepts. Dr. Misra's research interests encompass Wireless Sensor Networks, Internet of Things (IoT), Mobile Networks, Routing Protocols, Network Security, Energy Efficiency, Underwater Sensor Networks, UAV Networks, and Machine Learning applications for networking. His work demonstrates a consistent focus on solving real-world problems through innovative networking solutions, particularly in resource-constrained environments. He has made significant contributions to security protocols, energy management, and connectivity solutions across various network paradigms. Analysis of his recent publications reveals a strong trend toward practical applications of networking technologies, with increasing focus on IoT security, vehicular networks, underwater communication systems, and UAV-enabled networks. His work shows evolution from fundamental networking protocols to more complex, application-specific solutions addressing contemporary challenges in smart transportation, precision agriculture, and secure cloud-based IoT services. Dr. Misra has mentored numerous students and researchers, as evidenced by his extensive co-authorship record. His collaborative work spans multiple institutions across India and internationally, demonstrating strong research leadership and networking capabilities. His research has been supported by various funding mechanisms, though specific grants are not detailed in the available information. His laboratory or research group appears to focus on sensor networks, IoT systems, and related communication technologies, with particular emphasis on security, energy efficiency, and practical deployment scenarios. The research output suggests a well-established team working on cutting-edge networking challenges with real-world applicability.

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Luis Fernandez SanzView profile

Professor

University of AlcaláSpain

Luis Fernandez Sanz is a Professor in the Department of Computer Science at the University of Alcala (Spain). His primary affiliation is with the 'Information Technologies for Training and Knowledge' research group, where he investigates e-learning systems, software quality, cybersecurity, and digital accessibility. Research Focus: Professor Sanz's work spans: Development of adaptive e-learning platforms and accessibility standards Software quality measurement and testing methodologies Cybersecurity in cloud computing and data science applications Integration of gamification in educational technology EU digital competence frameworks and industry skill alignment Project Leadership: He has secured significant EU funding for projects including: DEDALUS (data literacy courses for universities) Be@CyberPro (cybersecurity career awareness game) e-Skills Match (ICT professional standards) Multiple contracts with UNINFO and European Commission bodies Teaching: He instructs courses in Software Quality/Testing, Project Management, and ICT applications across undergraduate and graduate computer engineering programs. Scholarly Output: His publications demonstrate consistent focus on emerging technologies, with recent work analyzing AI security threats, blockchain applications in banking, sustainable IoT systems, and accessibility engineering. Research often incorporates empirical validation and industry collaboration.

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Gabriele KotsisView profile

Professor

Johannes Kepler University LinzAustria

Gabriele Kotsis is a Full Professor at the Institute of Telecooperation, Johannes Kepler University Linz, with extensive contributions to Artificial Intelligence research. Her institutional presence spans multiple departments through interdisciplinary projects while maintaining her primary affiliation with JKU's engineering-focused research units. Her research expertise encompasses: Natural Language Processing and Neural Machine Translation systems Reinforcement Learning applications for Smart Grid optimization Mobile Computing and Multimedia Intelligence frameworks Big Data Analytics and Database Systems innovation Human-centered AI development methodologies Recent publications (2024-2025) reveal a strategic focus on practical AI implementations addressing multilingual communication barriers and energy efficiency challenges. Her work consistently bridges theoretical AI advances with real-world applications across multiple domains. Professor Kotsis maintains an active supervision record with thesis guidance and leads multiple funded research initiatives. Her current portfolio includes: 'Enhancing Neural Machine Translation' project (2025-2026) for Southeast Asian languages 'INTES' regulatory compliance ecosystem (2023-2026) 'Human-centered Artificial Intelligence' initiative (2022-2026) Through her leadership in international conferences (iiWAS, MoMM, DEXA) and editorial roles for major proceedings, she maintains significant influence in the global computer science research community while advancing JKU's research profile.

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Marek Daniel DudzikView profile

Lecturer

Cracow University of TechnologyPoland

Dr. Eng. Marek Daniel Dudzik serves as a Lecturer in the Department of Infotronics and Cybersecurity at the Faculty of Electrical and Computer Engineering, Cracow University of Technology. His academic profile demonstrates a strong research focus on artificial intelligence applications across diverse engineering domains, with particular expertise in neural network modeling for complex physical systems. Dr. Dudzik's research interests span multiple engineering disciplines, with primary focus on applying neural networks to solve challenging problems in materials science, particularly regarding aluminum foams and cellular materials under compression. His work bridges theoretical neural network development with practical applications in building automation systems, environmental monitoring, and mining engineering. The research portfolio reveals a consistent pattern of interdisciplinary work connecting electrical engineering principles with computational intelligence techniques. The publication record shows a clear trend toward increasingly sophisticated neural network applications across multiple domains. Early work focused on traction systems and electrical engineering applications, while more recent publications demonstrate expansion into building automation, environmental monitoring, and materials science. The research methodology consistently employs neural networks to model complex physical phenomena that are difficult to characterize through traditional analytical approaches, with particular emphasis on practical implementation and verification of results. Dr. Dudzik's work demonstrates strong connections between theoretical neural network development and practical engineering applications across diverse fields. His collaborations span multiple departments and institutions, reflecting the interdisciplinary nature of his research. The publication record indicates active participation in both theoretical development and practical implementation of neural network solutions for complex engineering problems.

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Marek DomańskiView profile

Professor

Poznan University of TechnologyPoland

Professor Marek Domański is a distinguished faculty member at Poznań University of Technology, holding the position of Professor at the Institute of Multimedia Telecommunications within the Faculty of Computing and Telecommunications. With over four decades of academic career since completing his dissertation in 1983, he has established himself as a leading researcher in video coding and processing. His research primarily focuses on advanced video coding techniques, particularly Video Coding for Machines (VCM), neural network applications in video processing, immersive video coding, and multiview video compression. Professor Domański has made significant contributions to the field through his extensive publication record and active participation in international standardization efforts, particularly at MPEG meetings. Analysis of his recent publications (2020-2025) reveals a strong emphasis on machine-oriented video coding, with numerous contributions to MPEG standardization activities. His work demonstrates a consistent evolution from traditional video coding toward specialized techniques for machine vision applications, incorporating artificial neural networks to improve coding efficiency and processing capabilities. As an academic supervisor, Professor Domański has guided 27 doctoral students to completion, with recent dissertations focusing on cutting-edge topics in video processing and coding. His research group at PUT maintains active international collaborations, particularly with South Korean institutions like ETRI, reflecting the global relevance of his work. Professor Domański's research has practical applications in virtual reality, free-viewpoint television, and machine vision systems, with numerous technical reports indicating ongoing research projects focused on improving machine vision coding techniques. His work bridges theoretical advances with practical implementations, contributing significantly to both academic knowledge and industry applications in video technology.

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Radhakrishna PrabhuView profile

Professor

Robert Gordon UniversityUnited Kingdom

Professor Radhakrishna Prabhu is a distinguished academic at Robert Gordon University's School of Computing, Engineering & Technology, where he leads the Instrumentation & Sensors Research Group and is affiliated with the Robotics & Autonomous Systems Research Group. With over 20 years of applied research experience, his work spans optical technologies, environmental sensing, and clean energy systems. His research expertise encompasses Optical Materials & Waveguides , Optical Imaging , Optical Security , Subsea Sensing , Optoelectronics , Microscopy , Spectroscopy , Lasers , Fluorescence Instrumentation , Lab-on-a-chips , and Renewable Energy Systems . Recent publications (2024-2025) reveal a strong focus on underwater optical communication systems, microplastic environmental impact studies, and building-integrated photovoltaic technologies. Professor Prabhu's scientific contributions are recognized through his professional affiliations: Fellow of Higher Education Academy (FHEA) Chartered Engineer (EC-IET) Member of Institute of Physics (IOP) Member of The Institution of Engineering & Technology (IET) Member of Institute of Electrical and Electronics Engineers (IEEE) He currently supervises multiple PhD students across diverse projects including underwater wireless networks, microplastic soil studies, and building-integrated photovoltaics. His active research portfolio includes the 'Portable Luminescent Chemical Compass' project (2025-2027) and 'Reusing Subsea Natural Gas Pipeline Infrastructure for Bulk Hydrogen Transportation' (2022-2023), demonstrating his commitment to addressing contemporary environmental and technological challenges through innovative research. The Instrumentation & Sensors Research Group under his leadership develops cutting-edge sensing technologies with applications ranging from environmental monitoring to security systems, contributing significantly to Robert Gordon University's research themes in Environment, Energy & Sustainability.

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Khaoula RaboudiView profile

Associate Professor

Nantes UniversityFrance

Khaoula Raboudi serves as an Associate Professor at the Higher Institute of Multimedia Arts of Manouba in Tunisia and is an active member of the CRESSON research team within the AAU Laboratory. Her institutional affiliations extend to the Joint Research Unit (UMR) comprising CNRS, UGA, ENSA Nantes, ENSA Grenoble, and Centrale Nantes, with significant collaborative work at the Grenoble Computer Science Laboratory. Professor Raboudi's research centers on the innovative application of generative techniques and machine learning in architectural and urban design. She specializes in developing solar control systems and sustainable building morphologies that address contemporary challenges in energy efficiency and user well-being. Her work uniquely integrates technical computational approaches with qualitative design dimensions, creating solutions that are both scientifically rigorous and human-centered. Analysis of her publication record from 2011-2024 reveals consistent research evolution from foundational solar envelope modeling to advanced machine learning applications. Her recent work shows increasing focus on artificial intelligence in environmental design, with notable contributions to both physical architecture and digital environments like animated films. The research demonstrates strong interdisciplinary connections between architecture, computer science, and environmental engineering. Professor Raboudi maintains an active research profile with regular conference presentations and journal publications. Her work with the CRESSON team demonstrates commitment to advancing architectural knowledge through computational methods, particularly in sustainability-focused design applications. Current projects like AMaL (Ambiances Machine Learning) indicate continued innovation at the intersection of architecture and artificial intelligence. Her research methodology combines theoretical architectural knowledge with practical computational techniques, often collaborating with computer scientists to develop specialized tools for solar analysis and morphological generation. This approach has produced valuable contributions to sustainable design practices and educational resources for architectural computation.

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Tony WongView profile

Professor

École de Technologie SupérieureCanada

Tony Wong is a Professor in the Department of Systems Engineering at École de technologie supérieure (ÉTS), specializing in aeronautics, autonomous systems, and industrial automation. He holds affiliations with three key research laboratories: the Control and Robotics Laboratory (CoRo), LARCASE (Aeronautical Research), and SYNCHROMEDIA (Multimedia Communication). His work bridges theoretical optimization and practical applications, particularly in UAV design, renewable energy, and blockchain logistics. Research interests span: Aeronautics/Aerospace : Morphing wing optimization, computational fluid dynamics, UAV performance enhancement. Intelligent Systems : Robotic automation, machine learning for predictive maintenance, low-code industrial solutions. Sustainable Technologies : Hybrid energy systems, IoT for resource optimization, edge computing deployments. Dr. Wong mentors 47+ graduate students, with recent projects including wind-tunnel validations of morphing wings, AI-driven supply chains, and solar energy forecasting. His publication record (31+ journal articles since 2021) demonstrates consistent contributions to aerodynamic design and computational intelligence. While no awards are documented, his leadership in collaborative labs underscores institutional recognition. Laboratory engagements focus on experimental validation and industrial partnerships, utilizing ÉTS facilities like the Price-Païdoussis Wind Tunnel and advanced flight simulators. Current projects prioritize sustainability, including aerodynamic drag reduction and blockchain-enabled cost optimization.

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Juan Manuel Vozmediano TorresView profile

Professor

University of SevilleSpain

Juan Manuel Vozmediano Torres is a Full Professor in the Department of Telematics Engineering at the University of Seville. His research spans telecommunications, VoIP systems, network design, and educational technology. He leads the TIC-154 Research Group and has secured numerous grants, including the ongoing PID2023-149683OB-I00 project on aerial robotics and IoT. Research interests include: Telematics and network protocol optimization VoIP traffic characterization and QoS enhancement Cost-effective infrastructure design (e.g., fiber optics) Virtualized learning environments for engineering His publications focus on VoIP efficiency, network modeling, and educational innovations. Recent works analyze hospital network reliability (2019) and smartphone codec selection (2014). He has supervised four doctoral theses and holds a patent for an ISDN access server prototype. Industry collaborations include projects with Alcatel, telecommunications infrastructure planning, and IoT systems for commercial platforms.

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Shree K. NayarView profile

Professor

Menlo CollegeUnited States

Shree K. Nayar is the T. C. Chang Professor of Computer Science in the School of Engineering at Columbia University, where he heads the Columbia Vision Laboratory (CAVE). He served as Department Chair from 2009-2012 and was Director of Research at Snap Inc. from 2018-2024. Nayar received his PhD from Carnegie Mellon University and has been at Columbia since 1991, progressing from Assistant to Full Professor. His educational background includes a PhD in Electrical and Computer Engineering from Carnegie Mellon University (1990), an MS from North Carolina State University (1986), and a BS from Birla Institute of Technology in India (1984). He began his career as a Research Engineer at Taylor Instruments in New Delhi before pursuing graduate studies. Nayar's research spans three interconnected areas: novel computational cameras that capture new forms of visual information, physics-based models for vision and graphics, and algorithms for scene understanding. His work in computational imaging has transformed digital photography, with applications in smartphones, robotics, virtual reality, and human-computer interfaces. His research has produced over 300 publications with nearly 60,000 citations and 80 patents. Analysis of his recent publications reveals a strong focus on computational imaging challenges including low-light vision, depth sensing, mobile interaction, and accessibility technologies. His work consistently bridges theoretical foundations with practical applications, as evidenced by commercial implementations of his assorted pixels technology in smartphone cameras. Elected to National Academy of Engineering (2008), American Academy of Arts and Sciences (2011), National Academy of Inventors (2014), and Indian National Academy of Engineering (2022) Okawa Prize (2023), IEEE PAMI Distinguished Researcher Award (2019) Two-time David Marr Prize winner (1990, 1995) - the highest honor in computer vision Multiple best paper awards at major conferences including SIGGRAPH Asia (2024) and ECCV (2024) National Young Investigator Award (1991), Packard Fellowship (1992) Nayar has supervised numerous PhD and Master's students throughout his career at Columbia. His lab has received continuous funding from NSF, industry partners, and foundations. The Columbia Vision Laboratory (CAVE) is known for its interdisciplinary approach, combining optics, hardware design, and algorithms to solve fundamental vision problems. Nayar's Bigshot Camera project demonstrates his commitment to education, providing hands-on learning experiences for students worldwide. The Columbia Vision Laboratory (CAVE) develops cutting-edge computational imaging and computer vision systems. Under Nayar's leadership, the lab has pioneered technologies including self-powered cameras, high dynamic range imaging systems, and novel computational cameras. The lab maintains strong industry connections, particularly through Nayar's role at Snap Research, and emphasizes translating research into real-world applications that benefit society.

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Thomas SloanView profile

Associate Professor

University of Massachusetts LowellUnited States

Thomas Sloan serves as an Associate Professor in the Operations and Information Systems Department at the University of Massachusetts Lowell's Manning School of Business. He coordinates the M.S. Business Analytics program and teaches courses including Global Supply Chain Management and Introduction to Business Analytics. His research bridges operations management with sustainability challenges across multiple industries. Education: Ph.D. in Management Science, University of California Berkeley M.S. in Operations Research, University of California Berkeley B.B.A. in Operations Management, University of Texas at Austin Sloan's research integrates environmental considerations into traditional operations frameworks, with significant contributions to sustainable supply chains, medical device reprocessing, and green equipment maintenance. His work demonstrates consistent focus on balancing economic, environmental, and safety factors across diverse operational contexts. Recent publications examine pandemic-era supply chain disruptions and multi-criteria decision approaches for industrial solvent selection. Scientific Recognition: Teaching Excellence Award (2013) from UMass Lowell Operations and Information Systems Department Exceeding Excellence Teaching Award (2009) from UMass Lowell Student Government Association Sloan actively contributes to educational innovation through technology implementation projects including the UML Echo360 Lecture Program and ForClass Application pilot studies. His professional service spans university committees (NEASC Reaccreditation, Climate Action Plan), department leadership roles, and professional societies including INFORMS, POMS, DSI, and APICS where he serves as faculty advisor for the OIS Club. His research grants focus on enhancing student engagement in supply chain management education through digital tools.

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