Find Academic Supervisors

Gururaj BijurView profile

Assistant Professor

• Video Communication
• Wireless Networks
• Software Defined Networking
• +3 more

Gururaj Bijur serves as Assistant Professor - Selection Grade at Manipal Institute of Technology, Manipal University, within the School of Computer Engineering and Department of Computer Science and Engineering in Manipal, Karnataka. His academic profile integrates teaching responsibilities with research in networked multimedia systems. His educational credentials include a B.E., M.Tech., and Ph.D. degrees, establishing foundational expertise in engineering disciplines. Research centers on video communication optimization under constrained environments, with specific contributions to HEVC coding efficiency, wireless network adaptation algorithms, and software-defined multicast routing. His work addresses critical challenges in resource management, mobility dynamics, and real-time streaming quality across heterogeneous networks. Recent publications (2021-2022) demonstrate sustained focus on algorithmic improvements for video delivery systems, particularly in computational complexity reduction and adaptive parameter estimation. Cross-cutting themes include network resource optimization, experimental validation of dynamic adaptation models, and traffic engineering for software-defined infrastructures.

Wolfgang FunkView profile

Professor

• Software Engineering
• Digital Watermarking
• Biometric Recognition Systems
• +3 more

Prof. Dr. Wolfgang Funk is a full-time Professor in the Business Information Systems program at the Faculty of Business, Baden-Württemberg Cooperative State University Villingen-Schwenningen. With a doctorate in Computer Science from Technische Universität Darmstadt and extensive experience in applied research, he specializes in software engineering, digital watermarking, and biometric recognition systems. PhD in Engineering from TU Darmstadt (2008) Diploma in Physics from University of Würzburg (1994) His research focuses on: Digital watermarking techniques for multimedia data Biometric system security and liveness detection Software engineering for business applications Image compression algorithms in recognition systems Publications demonstrate expertise in: 3D CAD model watermarking Multimedia security frameworks MPEG-4 compression impacts Biometric anti-spoofing methods Scientific achievements include: Joseph von Fraunhofer Prize (1998) Three granted European patents in digital watermarking and biometric systems

Jialie ShenView profile

Professor

• Computer Vision
• Deep Learning
• Data Science
• +3 more

Professor Jialie Shen is a leading academic in computer vision and machine learning at City St George's, University of London . With a PhD from UNSW Sydney (2006) , he transitioned from a Reader at Queen's University Belfast (2018–2022) to his current role as a full Professor since 2022. His research spans artificial intelligence , focusing on computer vision , deep learning , and data science , with over 100 publications in top journals like IEEE Transactions on Multimedia , Pattern Recognition , and ACM TOMM . Education: PhD in Computer Science, UNSW Sydney, 2006 Research Focus: Computer Vision Deep Learning Data Science Machine Learning Scientific Awards: Lee Foundation Fellowship for Research Excellence Singapore Microsoft Mobile Plus Cloud Computing Theme Research Program Award Best Reviewer Awards (IP&M 2019, ACM Multimedia 2020) Test of Time Reviewer Award (IP&M 2022) Associate Editor with Honourable Mention (Pattern Recognition 2023/24) Editorial Roles: Associate Editor, IEEE Transactions on Big Data (2025–present) Associate Editor, IEEE Transactions on Circuits and Systems for Video Technology (2022–present) Editorial Board Member, ACM TOMM and others Publications: 15 most recent articles (2025–2021) across biomedical engineering , AI , and graph representation learning

Zhixiang ChenView profile

Lecturer

• Computer Vision
• Machine Learning
• Human Analysis
• +2 more

Dr. Zhixiang Chen is a Lecturer in Machine Learning at the Department of Computer Science, University of Sheffield, and an active member of both the Machine Learning and Computer Vision research groups. Previously, he held postdoctoral positions at Imperial College London and Tsinghua University. Education: PhD in Computer Science, Tsinghua University, China B.Eng. in Computer Engineering, Xi'an Jiaotong University, China His research focuses on advancing Computer Vision and Machine Learning through human analysis, object detection, and image retrieval systems. Recent work integrates deep learning for industrial applications like PCB inspection and autonomous systems, while earlier contributions pioneered video hashing techniques for efficient multimedia search. His methodology emphasizes robust feature representation and scalable algorithm design. Publication trends reveal a strategic shift from foundational hashing research (2016-2019) toward applied 3D vision and industrial automation (2020-2024), with increasing emphasis on uncertainty-aware models and sensor fusion for real-world deployment. Scientific Awards: China Society of Image and Graphics Doctoral Dissertation Award (2019) IEEE International Conference on Multimedia and Expo Best Paper Award (2018) China National Postdoctoral Program for Innovative Talents (2017) Dr. Chen currently leads the EPSRC-funded project 'VIM: towards a Vision based System for Inventory Management with Deep Learning' (2024-2026, £46,354) as Principal Investigator. He serves as a Grant Reviewer for UKRI-FLF and NSFC, Senior Program Committee Member for AAAI 2023, and regularly reviews for top-tier conferences (CVPR, ICCV, NeurIPS) and journals (IEEE T-PAMI, IEEE T-MM). As a core member of Sheffield's Machine Learning and Computer Vision research groups, he contributes to collaborative projects involving industrial partners and interdisciplinary teams focused on AI-driven solutions for healthcare, manufacturing, and autonomous systems.

• Computer Vision
• Machine Learning
• Artificial Intelligence
• +4 more

Guangyao Chen is an Assistant Professor in the Department of Computer Science within Cornell University's College of Engineering, where he leads research at the intersection of computer vision, machine learning, and artificial intelligence. His work focuses on advancing open-world visual understanding systems capable of handling unknown classes and real-world complexity. His primary research interests include: Computer Vision and Open-Set Recognition Few-Shot Learning and Cross-Domain Adaptation LLM-Visual Integration and Symbolic Reasoning Neuromorphic Computing and Spiking Neural Networks Multi-Modal Learning and Real-Time Systems Analysis of his 2021-2025 publications reveals a strategic evolution toward solving open-world perception challenges. His recent work demonstrates how large language models can unlock complex event understanding from object detectors, while his G-OSR benchmark establishes new standards for graph-based open-set recognition. Notable contributions include real-time multimodal anomaly detection frameworks, retina-inspired saliency models, and Autoagents for automatic agent generation - all addressing critical gaps in deploying AI systems in dynamic, uncontrolled environments. Though specific awards and advising details aren't documented in available sources, his prolific publication output (including 9 papers in 2025) indicates an active research program with significant community impact. His work bridges theoretical advances in representation learning with practical applications in robotics, medical imaging, and industrial systems where handling unknown classes is critical.

• Translation Studies
• Queer Cinema
• Fandom and Fan Translation
• +5 more

Dr. Jonathan Evans is a Reader in Translation Studies at the University of Glasgow, having joined as Senior Lecturer in 2020 and promoted to Reader in 2024. Previously, he held academic positions at the University of Exeter, University of Hull, and University of Portsmouth. His work centers on translation's intersections with culture, politics, and media, particularly examining transnational text circulation and alternative practices in participatory cultures. Evans's research spans queer cinema translation, fandom practices, film remakes as translation forms, and translation's political dimensions. His current projects include a monograph on Translating Queer Cinema (with Ting Guo), expanding their AHRC-funded Translating for Change project, and research on 1960s-1970s countercultural connections funded by a Royal Society of Edinburgh grant. He has extensive work on fan translation, including the Fan Translations book with Guo exploring Global South and queer fandoms. His recent publications demonstrate strong focus on Korean media translation, queer representation, and streaming services, showing consistent theoretical rigor while adapting to digital and participatory contexts in translation studies. The work reveals increasing attention to sustainability in translation practices and transnational queer movements. Major research funding includes: Royal Society of Edinburgh small grant (£3907) for 'International Counterculture in the 1970s' (2025) ESRC grant (£47500) for 'Diversity and Sustainability in Streaming' (2021) AHRC grant (£248595) for 'Translating for Change' (2018) British Academy grant (£9102) for 'Fan Translation in Viet Nam' (2016) Evans actively supervises PhD students at Glasgow working on literary translation, queer media, and fandom. His current supervisees include Yifei Kong, Menghui Zhang, and Donna Wilson, while recent graduates include Qing Guo and Yunjing Ouyang (2025). He teaches courses including Translation Studies in Theory and Practice, Subtitling Film and TV, and contributes to the Glasgow-Nankai Joint Graduate School. Evans serves as deputy editor of The Journal of Specialised Translation and sits on multiple editorial boards for leading translation journals.

Michael L OelzeView profile

Professor

• Acoustic Communications
• Ultrasound Therapy
• Coded Excitation and Ultrasound
• +6 more

Professor Michael L Oelze is a faculty member at the Carle Illinois College of Medicine (University of Illinois at Urbana-Champaign). His research spans ultrasound imaging, therapy, and in-body communication systems, with clinical applications in breast cancer detection and implantable medical devices . He teaches courses in acoustics, ultrasonic imaging, and biomedical engineering. Education: PhD in Physics from the University of Mississippi (2000) His research focuses on quantitative ultrasound (QUS) for cancer diagnosis, null subtraction imaging (NSI) for super-resolution imaging, and ultrasound-powered devices for in-body communication. Recent work includes 4K video streaming through tissues and mechanophore activation for deep-tissue therapy . The 15 most recent articles highlight advancements in QUS , NSI , and deep learning transferability across ultrasound platforms. His lab has developed ultrasound-identified radiological clips for improved tumor localization and real-time beam visualization for focused ultrasound therapies. Scientific Awards: UFFC Editorial Excellence Award (2024), Fellow of Acoustical Society of America (2023), Fulbright Scholar (2012-2013) Professor Oelze mentors PhD and Master’s students and collaborates with institutions like Sunnybrook Research Institute and QT Imaging . His lab utilizes advanced systems such as the Verasonics Vantage 128 and NVIDIA GPU clusters for real-time processing.

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.

• Computer Science
• Software Engineering
• Programming Languages
• +1 more

Lecturer Yılmaz EROĞLU is affiliated with Kastamonu University's Vocational School, Department of Computer Technologies, focusing on programming languages and software education. He has taught courses such as System Analysis and Design , Visual Programming , and Graphics and Animation at the associate degree level since 2009. Education: Master's Degree in Electronics and Computer Education (Thesis) from Gazi University (2007). Education: Bachelor's Degree in Computer Education from Gazi University (2003). His research centers on programming languages and computer software, with a focus on algorithm design, video processing, and historical document analysis. His publications include a journal article on Ottoman script recognition and conference papers exploring H.264 bitstream segmentation. The scientific impact metrics indicate a focus on teaching and applied research, with no recorded citations or h-index data. He has collaborated with Halil İbrahim Eskikurt from Sakarya University on video processing projects.

Rebecca BaldwinView profile

Associate Professor

• Entomology
• Pest Management
• Integrated Pest Management (IPM)
• +4 more

Dr. Rebecca Baldwin is an Associate Professor and Undergraduate Coordinator in the Department of Entomology and Nematology at the University of Florida (UF/IFAS Extension). Her work focuses on urban and agricultural pest management, chemical ecology, and pesticide safety education. Her research spans insect behavior, subsocial dynamics (e.g., horned passalus beetles), invasive species (e.g., tawny crazy ants), and defensive mechanisms in peridomestic pests like the Florida woods cockroach. She co-authored 15 recent publications on these topics, emphasizing practical IPM strategies and outreach tools. Key trends in her publications include the development of DIY pest control methods (bed bug interceptors), characterization of invasive ant biology, and pesticide safety training materials with QR code video integrations. She collaborates extensively with Philip Koehler, Roberto Pereira, and other UF/IFAS researchers.

Adrian DegondaView profile

Lecturer

• Digital Games in Education
• Augmented Reality in Teacher Training
• Computer Science Didactics
• +2 more

Adrian Degonda is a lecturer at the Zurich University of Teacher Education ( PH Zurich ), specializing in media education and computer science didactics. He focuses on integrating augmented reality , digital games , and AI tools into teacher training and K-12 education, particularly for secondary school computer science instruction. Key research areas include AR in teacher education , game-based learning , and pedagogical game design Collaborates with ETH Zurich and PH FHNW on immersive learning technologies Develops AI-supported educational escape games and AR visualization tools His recent publications examine: Impact of Microsoft HoloLens on student teacher motivation Critical factors in AR technology adoption for science education Development of digital literacy frameworks for Swiss teacher training Interdisciplinary ethnology-computer science projects using embroidery data visualization Current projects include: Net Zero simulation game about sustainable construction Computer Science in Schools initiative across German-speaking Switzerland

• Robotics
• Machine Learning
• Computer Vision
• +11 more

Dr. Hamidreza Kasaei is an Associate Professor in the Department of Artificial Intelligence at the University of Groningen, Netherlands. He leads the Interactive Robot Learning Lab (IRL-Lab) , focusing on robotics, machine learning, and computer vision. Develops algorithms for lifelong interactive robot learning Specializes in 3D perception and multi-arm manipulation Actively involved in IEEE RAS as Associate Editor His research directions include: Perception systems for dynamic environments Dual-arm manipulation techniques Lifelong learning architectures Multimodal integration for object understanding Dynamic motion planning for reactive systems Recent work trends show emphasis on: Vision-language model integration for open-world grasping Dual-arm reinforcement learning frameworks Neural ODE applications for video generation Ensemble methods in continual learning Imitation learning for agricultural robotics Transformer-based view planning systems Scientific awards include: Google Research Scholar Award (2023) Outstanding Associate Editor - IEEE RAS (2023) His lab actively trains students through PhD and Master's projects in domains like 3D object perception, dual-arm coordination, and multimodal learning. The lab has successfully graduated multiple PhD candidates including Zhenxing Zhang and Hamed Ayoobi .

Ranjay KrishnaView profile

Assistant Professor

• Computer Vision
• Human-Centered AI
• Machine Learning
• +7 more

Ranjay Krishna is an Assistant Professor at the Paul G. Allen School of Computer Science & Engineering at the University of Washington, with a Ph.D. in Computer Science from Stanford University (2021). He co-directs the RAIVN Lab and leads the computer vision team at Ai2 . His research sits at the intersection of computer vision , human-computer interaction , robotics , and natural language processing .

Kirsten StoewerView profile

Lecturer

• Multilingualism
• Mother Tongue Teaching
• Educational Work
• +3 more

Kirsten Stoewer is a University Lecturer at Linköping University, affiliated with the Department of Learning, Aesthetics and Science (LEN) and the Department of Behavioral Sciences and Learning (IBL). She conducts research and teaching activities primarily focused on multilingualism and mother tongue education in the Norrköping campus. Her research interests center on the practice of mother tongue teaching in daily school activities, with a particular emphasis on interaction analysis methods. She examines how language instruction occurs in classroom settings, especially focusing on vocabulary work and translation requests as resources for language learning. Her work bridges educational theory and practical classroom applications, with special attention to multilingual development in educational contexts. Stoewer's publication record demonstrates a consistent focus on language interaction in educational settings, particularly examining how teachers and students navigate vocabulary explanation and language switching in mother tongue instruction. Her recent work shows increasing specialization in the practical aspects of vocabulary instruction within multilingual classrooms. Her research methodology primarily employs video-recorded lessons analyzed through interaction analysis techniques, providing detailed insights into the micro-processes of language teaching and learning.