Video Coding Professors and Supervisors | ApplySharif

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Joey BargstenView profile

Professor

Florida Atlantic University - Boca RatonUnited States

Dr. Joey Bargsten is a Professor in the Communication and Multimedia Studies department within the Dorothy F. Schmidt College of Arts and Letters at Florida Atlantic University. He holds a PhD from the University of Iowa and teaches courses including Fundamentals of Multimedia, Interactive Multimedia, Multimedia Practicum, Creating Interactive Culture, New Media Studies, and Creating Interactive Soundtracks. Bargsten's research focuses on the intersection of digital media and live performance, with particular expertise in interactive multimedia, music and sound design for virtual reality environments, and intermedia performance. His work explores how digital technologies can transform traditional artistic forms, creating what he terms 'syncretic moments' where disparate materials and intentions unite meaningfully. His notable projects include the multimedia opera MelanchoLalaland™, which premiered at the Miami Beach Cinematheque in 2015 with support from the Knight Foundation, and BAD MIND TIME™, an award-winning interactive art website that was featured as one of 'The 9 Best New Media Projects on the Planet' by New Media Magazine in 1998. 2013 Miami Knight Art Challenge Awards for MelanchoLalaland™ InVision award by New Media Magazine (1998) Audience Award at the Stuttgart Filmwinter Festival Recognition from Broadcast Design Association, Fluxus International Film Festival, and Print Magazine Bargsten founded and directs FAU's MTEn (Media, Technology, and Entertainment) Experimental Media Ensemble (meme™), which explores the intersection between digital media and live performance. His recent work includes VR environments created with students in the Glitch Gallery™ project, where students produced virtual reality experiences ranging from miniature golf to creepy hospital environments. He has received significant grant support from the John S. and James L. Knight Foundation, Miami-Dade County Department of Cultural Affairs, and the Florida Department of State Division of Cultural Affairs.

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Reginold RoystonView profile

Associate Professor

University of Wisconsin-MadisonUnited States

Reginold Royston serves as an Associate Professor jointly appointed in the School of Information (iSchool) and the Department of African Cultural Studies at the University of Wisconsin-Madison. With a Ph.D. in African Diaspora Studies & New Media Studies from UC Berkeley, he brings extensive professional experience from 15 years working as a reporter, graphics designer, and cultural critic for Knight Ridder, Village Voice Media, and National Geographic.com. His educational background includes: Ph.D. in African Diaspora Studies & New Media Studies, University of California, Berkeley M.A. in African American Studies, University of California, Berkeley B.A. in Anthropology and Philosophy, Howard University Royston's research focuses on the intersection of digital media, African diaspora cultures, and technology development. He examines Ghana's digital diaspora through ethnographic work in Ghana, the U.S., and the Netherlands, while also exploring Black social media practices, podcasting in African contexts, and viral dance phenomena. His work bridges media anthropology, digital humanities, and critical race studies to investigate how marginalized communities navigate and transform digital landscapes. His publication record demonstrates consistent scholarly output examining digital practices in the African diaspora, with recent works analyzing African viral dance circuits, podcasting as new orality, and the political economy of digital platforms. These works collectively reveal a research trajectory centered on understanding how African and African diasporic communities appropriate, adapt, and innovate with digital technologies in ways that challenge Western-centric narratives of technological development. His scholarly recognition includes: HASTAC-MacArthur Foundation research grant (2012) for virtual classroom research As an educator, Royston has developed and taught innovative courses including 'Code & Power: An Intersectional Analysis of Web Culture,' 'Africa + The Internet — Digital Diasporas,' and 'Black Media Studies.' He has coordinated the Black Arts + Data Futures group through the Borghesi-Mellon Interdisciplinary Workshop in the Humanities at the UW-Madison Center for Humanities. His teaching integrates practical digital skills with critical analysis of power structures in technology. Royston leads the Black Arts + Data Futures research group and has developed multiple digital projects including 'Atomic Junction: Nuclear Science in an African Suburb,' 'Juneteenth as a Communicative Event,' and various civic technology initiatives focused on Africa and underserved communities in the United States.

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Kim MinsoView profile

Visiting Assistant Professor

University of North TexasUnited States

Kim Minso is a Visiting Assistant Professor in the Department of Interdisciplinary Art and Design Studies at the University of North Texas. Their work focuses on the intersection of art, technology, and human interaction, exploring themes such as biometric authentication systems, wearable technology, and the symbiotic relationship between humans and digital environments. Key projects include Lock at first sight , a wearable adversarial design challenging biometric privacy, and Citizen X , which proposes customizable contact lenses as a future solution for digital identity. Their research also delves into sensory experiences through interactive installations like Searching for the meaning , which uses sensors to engage audiences in ephemeral public space explorations. Kim’s work frequently employs computational algorithms, sound design, and robotic systems to interrogate cultural communication, temporal perspectives, and the human body’s integration with technology. Their projects have been exhibited in venues such as the Climbable Discovery Museum and Junkyard Social Club, Boulder CO.

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Marcos RodriguesView profile

Professor

Sheffield Hallam UniversityUnited Kingdom

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.

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Joohee KimView profile

Associate Professor

Illinois Institute of TechnologyUnited States

Joohee Kim is an Associate Professor in the Department of Electrical and Computer Engineering at Illinois Institute of Technology, where she has been since 2009. She directs the Multimedia Communications Laboratory and focuses on research funded by U.S. Federal Agencies and the Korean Government. Education: Ph.D., Electrical and Computer Engineering, Georgia Institute of Technology (2003) M.S., Electrical Engineering, Yonsei University (1993) B.S., Electrical Engineering, Yonsei University (1991) Research interests include image/video signal processing, computer vision, machine learning, multimedia communication, and real-time 3D reconstruction . Her work spans applications in autonomous systems, robotics, and advanced driver assistance systems, emphasizing low-complexity algorithms and efficient coding techniques. Her recent articles highlight advancements in pedestrian detection via deep learning, 3D reconstruction fusion methods, and optimized depth map coding. These contributions address challenges in real-time systems, energy efficiency, and robust transmission over wireless networks. Awards: None explicitly listed. Grant Activity: Active in federal and international funding for projects like low-delay distributed video coding and error-resilient transmission. Advising: No students listed, though lab leadership implies mentorship roles. Labs/Teams: Director of the Multimedia Communications Lab, collaborating on 3D imaging, video coding, and intelligent systems integration.

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Andreas Reier JensenView profile

Associate Professor

University of AgderNorway

Andreas Reier Jensen is an Associate Professor in Education and research group leader of anthrozoology at the University of Agder's Department of Education. He holds a PhD and has over a decade of research experience in classroom observation, teacher education, and human-animal interactions in educational contexts. Previously, he worked as a lecturer and subject didactician in nautical science at upper secondary schools and technical colleges. His research focuses on anthrozoology (human-animal interactions), didactics, and sociology of education. He employs methodologies such as video analysis, discourse analysis, and mixed methods. Jensen supervises and teaches in master’s and PhD programs in education and sociology of education. Key research themes include the role of animals in education (e.g., reading programs with dogs), professional development through Lesson Study, and inclusive education strategies. He has published extensively in journals like Acta Didactica Norden and Anthrozoos , and has contributed to books on educational methodologies and policy. Jensen has collaborated with schools and farms to explore adaptive educational practices. He frequently engages with media (e.g., NRK, TV2) to discuss his findings, such as the impact of reading programs with dogs on children’s literacy. His work bridges theory and practice, emphasizing embodied pedagogy and democratic education.

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Ge LiuView profile

Assistant Professor

University of Illinois Urbana-ChampaignUnited States

Dr. Ge Liu is an Assistant Professor at the Siebel School of Computing and Data Science, University of Illinois Urbana-Champaign. Her research focuses on Artificial Intelligence, Bioinformatics, and Ethical AI, with notable contributions to LLM policy frameworks, adversarial AI defenses, and social AI modeling. She teaches courses including CS 582 (ML for Bioinformatics) and CS 598 GBL (Genetic Models for Biomedical Sciences). Recent work emphasizes balancing AI safety and utility, particularly through policy design for large language models and multi-agent systems. Liu's publications address topics like content moderation, uncertainty expression in AI, and cross-modal video-language models. Education: Not explicitly listed in provided text Her research interests span AI ethics, LLM behavior analysis, and computational biology applications. Key projects include MOSAIC (social AI simulations) and SciCode (scientific coding benchmarks). Collaborative efforts focus on multi-agent systems and adversarial attack defenses. Publications highlight trends in AI safety, LLM governance, and multimodal learning. No scientific awards are listed, but her record includes notable contributions to Grainger Engineering's faculty expansion.

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Mohammad MoshirpourView profile

Professor

University of California, IrvineUnited States

Professor Mohammad Moshirpour is a faculty member at the University of California, Irvine (UCI), affiliated with the School of Information and Computer Sciences and the Department of Computer Science. As Director of the Software Engineering Practice and Education (SEPE) Lab, his work spans applied software engineering, artificial intelligence, machine learning, and educational methodologies. He emphasizes practical applications, collaborating with healthcare institutions (e.g., University of Calgary nursing faculty), industry partners, and academic institutions to address real-world challenges such as pipeline monitoring, video restoration, and dementia therapy through virtual reality. His research interests include software requirements engineering, AI-driven software development, and innovative education models like project-based learning (PBL) and hackathon-based assessment. He advocates for hands-on learning, comparing software engineering education to medical training. His SEPE Lab focuses on creating scalable, maintainable software solutions with a strong emphasis on AI integration. Key collaborations include work on parent-child interaction analysis via machine learning and video super-resolution techniques. Professor Moshirpour’s recent projects highlight cross-disciplinary innovation, such as leveraging federated learning for video enhancement and applying Monte Carlo methods to pipeline monitoring. His educational contributions include frameworks for agile teaching, automated feedback systems, and curriculum modernization. While no specific awards are listed, his work reflects a commitment to bridging theoretical research with practical implementation.

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Ehsan MiandjiView profile

Assistant Professor

Linköping UniversitySweden

Ehsan Miandji is an Assistant Professor and Docent at Linköping University's Department of Science and Technology (ITN), part of the Faculty of Science and Engineering. His research focuses on computer graphics, computer vision, and machine learning, with a particular emphasis on BRDF modeling, light field imaging, compressed sensing, and sparse representation techniques. He is affiliated with the Computer Graphics and Image Processing group and the Wallenberg Autonomous Systems Program (WASP). His work spans both theoretical advancements and applied methodologies in visual data processing. Recent research includes optimizing BRDF acquisition via FROST-BRDF, advancing multidimensional compressed sensing for spectral light fields, and developing sparse representation frameworks for bidirectional texture functions (BTF). Miandji collaborates with interdisciplinary teams within the Media and Information Technology (MIT) division, contributing to projects that bridge computational imaging, algorithm design, and real-world applications. His publications reflect a strong commitment to pushing boundaries in visual data compression, rendering efficiency, and perceptual quality assessment of material models.

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Sonia NapravnikView profile

Associate Professor

University of North Carolina at Chapel HillUnited States

Sonia Napravnik, PhD, is an Associate Professor in the Department of Epidemiology at the University of North Carolina's Gillings School of Global Public Health. Her research focuses on HIV/AIDS epidemiology, chronic disease management, substance use, and healthcare outcomes in vulnerable populations. She leads studies addressing comorbidities in people with HIV, including cardiovascular health, cardiometabolic disorders, and adherence to antiretroviral therapy (ART). Her work integrates genomic, clinical, and social determinants to improve health equity and clinical care. Dr. Napravnik collaborates with the Centers for AIDS Research Network of Integrated Clinical Systems (CNICS) and other national cohorts. Her recent projects include analyzing polygenic risk scores for chronic kidney disease, evaluating statin use in HIV populations, and assessing interventions for chronic pain management. She also investigates disparities in hepatitis C treatment outcomes and the impact of substance use on HIV treatment adherence. Her research has been published in high-impact journals, emphasizing translational findings for clinical practice. Dr. Napravnik is based at the UNC School of Medicine, with an office in the Bioinformatics Building, Chapel Hill.

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Erola FenollosaView profile

Research Fellow

University of OxfordUnited Kingdom

Dr. Erola Fenollosa is a Marie Curie Fellow at the University of Oxford's Department of Biology, specializing in plant physiological performance, demographic responses, and species distributions with focus on invasive plants under climate change scenarios. Her work integrates experimental ecology, data science, and imaging techniques to address ecological forecasting challenges. BSc in Environmental Sciences (University of Barcelona, 2015, extraordinary prize) MSc in Environmental Agrobiology (University of Barcelona, 2016, extraordinary prize) Superior University Course in Data Science (2018) MSc in Data Science (2023) PhD in Ecology, Environmental Sciences and Plant Physiology (University of Barcelona, 2020, Summa Cum Laude, extraordinary prize) Her research centers on abiotic stress tolerance mechanisms in invasive plants, ecological modeling of invasion dynamics, and image-based monitoring systems. She pioneers the integration of RGB/multispectral imaging with physiological data to develop stress proxies and forecast species distributions under environmental change, with particular emphasis on clonal plants like Carpobrotus edulis in Mediterranean ecosystems. Recent publications (2022-2025) demonstrate strong convergence between machine learning applications, mechanistic niche modeling, and image analysis for invasion biology. Key trends include drought response characterization in grasslands, microhabitat constraints on invasive succulents, and development of standardized protocols for demographic data reporting in ecological studies. Marie Skłodowska-Curie Postdoctoral Fellowship Margarita Salas Postdoctoral Fellowship She actively mentors through the Street View Sentinel project seeking Master's students in data science and environmental fields, while serving as Review Editor for Frontiers in Plant Science and Data Editor for Ecology Letters. Her current FRONTSTRESS project combines field experiments with UAV-based imaging to develop predictive models for invasion fronts. Fenollosa collaborates across the SalGo Team (University of Oxford, led by Dr. Rob Salguero-Gómez), Plant Synergy Team (University of Barcelona), and University of Lausanne, utilizing interdisciplinary approaches that merge plant physiology laboratories with ecological modeling workspaces for comprehensive invasion studies.

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Pavol JancuraView profile

Assistant Professor

Eindhoven University of TechnologyNetherlands

Pavol Jancura is an Assistant Professor in Electrical Engineering at Eindhoven University of Technology, affiliated with the Mobile Perception Systems Lab. His research spans reinforcement learning, video coding architectures, and edge AI systems. Current projects include 5G-MOBIX for connected automated mobility and NXP Smart Mobility. Recent publications focus on multi-agent reinforcement learning coordination, efficient object detection using sensor fusion, and quantization-aware neural networks for edge devices. His work integrates computer vision, multi-agent systems, and optimization for autonomous systems.

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Pantelis M. PapadopoulosView profile

Associate Professor

University of TwenteNetherlands

Pantelis M. Papadopoulos is an Associate Professor in Instructional Technology with a research focus on educational technologies, learning analytics, and artificial intelligence in education. His work spans collaborative learning, conversational agents, gamification, and peer feedback mechanisms. He has contributed to projects such as the development of conversational agents for MOOCs and the design of tangible learning tools like the CUBE. His research addresses ethical considerations in AI integration, motivation dynamics in e-learning, and teacher professional development through digital competencies. Key research interests include the design of AI-driven educational tools, enhancing dialogue productivity in inquiry-based learning, and evaluating the impact of gamification on student engagement. He collaborates internationally on initiatives such as climate change literacy enhancement through agent-mediated learning and cross-cultural educational comparisons. His invited talks highlight contributions to technology-enhanced peer review, audience response systems, and the role of tangible artifacts in collaborative learning environments. Notable outputs include studies on conversational agents' adverse effects, summative assessment with AI, and the efficacy of free-selection peer feedback protocols. His work bridges theoretical frameworks with practical applications, aiming to improve educational outcomes through innovative technological integration.

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Brian EvansView profile

Professor

University of Texas at AustinUnited States

Brian Evans is a Professor at the University of Texas at Austin, affiliated with the Center for Perceptual Systems within the College of Liberal Arts. He holds a Ph.D. from the Georgia Institute of Technology. His research focuses on wireless communications, multiantenna systems, millimeter wave technologies, and the application of machine learning to communication challenges. Notably, his group has developed advanced halftoning algorithms for image processing that enhance visual quality in printers and displays. His work spans cutting-edge areas such as hybrid beamforming design for full-duplex millimeter wave systems, low-complexity signal processing in massive MIMO networks, and adaptive detection techniques leveraging machine learning. Evans' contributions address critical issues like phase noise compensation in MIMO systems and spectral efficiency optimization with reconfigurable intelligent surfaces (RIS). His publications reflect a strong emphasis on practical implementations, including low-resolution ADC architectures, full-duplex communication frameworks, and energy-efficient resource allocation strategies. Evans' research bridges theoretical advancements with real-world applications in smart grids, video stabilization, and GNSS signal authentication. His interdisciplinary approach integrates electrical engineering, computer science, and perceptual systems, making him a key figure in both communication technologies and visual quality assessment.

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Eckehard SteinbachView profile

Professor

Technical University of MunichGermany

Prof. Dr.-Ing. Eckehard Steinbach is a Full Professor of Media Technology at the Technical University of Munich (TUM), affiliated with the TUM School of Computation, Information and Technology. His research focuses on haptic communication, the Tactile Internet, multimedia systems, and machine learning-driven analysis of sensory data. He holds an IEEE Fellowship (2015) for contributions to visual and haptic communications and has led projects like the Centre for Tactile Internet with Human-in-the-Loop (CeTI). Education: Studied Electrical Engineering at the University of Karlsruhe, University of Essex, and ESIEE Paris. Earned a Ph.D. from Friedrich-Alexander University of Erlangen-Nuremberg (1999). Postdoc at Stanford University (2000–2002). Research Interests: Haptic data compression, teleoperation, networked multimedia systems, and applications of machine learning in sensory data analysis. Key projects include the IEEE 1918.1.1-2024 standard for haptic codecs and 5G-based teleoperation systems. Awards: ERC Starting Grant (2011–2015), Alcatel-Lucent Research Award (2011), VDE-ITG Publication Award (2009). Grants and Projects: Led initiatives in tactile internet, 5G testbeds for eHealth, and radar-based human activity monitoring. Collaborates on robotics and remote collaboration systems via platforms like the Munich 5G Research Hub. Labs/Teams: Chair of Media Technology at TUM, contributing to TUM-IAS and the Munich Institute of Robotics and Machine Intelligence (MIRMI).

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