جست‌وجوی استاد و پژوهشگر

Matthias Springsteinمشاهده پروفایل

پژوهشگر

• Computer Vision
• Deep Learning
• Multimedia Information Retrieval
• +۵ مورد دیگر

Matthias Springstein is a researcher at the Technical Information Library (TIB), which is affiliated with Leibniz University Hannover. He is part of the Visual Analytics research group within TIB's Research & Development department, focusing on advanced computer vision and multimedia information retrieval techniques. His research interests span multiple areas of artificial intelligence with emphasis on computer vision applications. Springstein specializes in web-supervised learning for visual concepts, incremental learning approaches, and methods to minimize manual labeling efforts for training data. His work bridges theoretical machine learning with practical applications in digital humanities, particularly in art-historical image analysis and film/video studies. His publication record shows a consistent focus on multimodal analysis, with recent work exploring knowledge graphs for image classification, large-scale hierarchical classification of art-historical images, and computational tools for film analysis. The research demonstrates progression from foundational work in image-text relations and depth estimation toward increasingly sophisticated applications in cultural heritage and scholarly media analysis. Notable achievements include receiving the Best Paper Award at the International Conference on Multimedia Retrieval (ICMR) in 2019 for his work on semantic image-text relations. Springstein has developed TIB AV-Analytics, a computational platform for scholarly video analysis that has been presented at multiple major conferences (SIGIR 2023, SCSMI 2024), indicating significant impact in both the information retrieval and film studies communities.

• Steganography
• Information Security
• Multimedia Security
• +۲ مورد دیگر

Andreas Westfeld is a Professor at the Faculty of Informatics and Mathematics , specializing in advanced research at the intersection of information security and digital media. His work addresses critical challenges in steganography , watermarking , and multilateral security systems. Current affiliation: Faculty of Informatics and Mathematics Academic rank: Professor Westfeld’s research focuses on steganography and steganalysis , with particular emphasis on vulnerabilities in audio and image-based data hiding systems, countermeasures against attacks, and cryptographic applications. His work also explores multimedia security and digital forensics , contributing to the understanding of attack models and secure protocol design. Recent publications highlight advancements in audio steganography , JPEG steganalysis , and watermarking techniques. Key themes include sensitivity analysis, regression-based restoration, and spatial analysis adapted to transformed domains. This body of work underscores his leadership in developing robust information security strategies for multimedia environments.

• Human-Computer Interaction
• Tangible Interfaces
• Musical Interaction
• +۵ مورد دیگر

Dr. Sergi Jordà is a Senior Researcher and Associate Professor at the Music Technology Group of Universitat Pompeu Fabra (UPF) in Barcelona. He obtained his B.S. in Fundamental Physics (1986) and PhD in Computer Science and Digital Communication (2005) from UPF. He leads the Music & Advanced Interaction (MAIn) team and teaches courses in Computer Music, Audio Signal Processing, Human-Computer Interaction (HCI), and Interactive Media. In 2011, he joined the tenure-track faculty at UPF. Research Interests Jordà's research focuses on the intersection of Human-Computer Interaction (HCI) and tangible musical interfaces , including applications in education, collaborative music creation, and brain-computer interfaces . His work explores how tabletop interfaces and visual feedback can enhance intuitive instrument design and real-time performance. He is best known for co-inventing the Reactable , a tangible tabletop musical instrument that gained global recognition after being used by Icelandic artist Björk in her 2007-08 world tour. Scientific Awards Prix Ars Electronica Golden Nica (2008) MIDEM Hottest Music Biz Start-Up Award (2008) Yellow Pencil, D&AD Design Awards (2008) Rolling Stone Magazine's Hot Instrument of the Year (2007) Premi Ciutat de Barcelona (1999, 2007) Möbius International Award (2001) Innova Business Ideas Contest (2008) Projects and Grants He has participated in over 30 international scientific committees, including chairing TEI'13 (Tangible, Embedded and Embodied Interaction Conference) . Jordà has secured funding from the European Commission and Spanish government for six research projects, two as Principal Investigator (IP). In 2009, he co-founded the spin-off company Reactable Systems , which launched Reactable Mobile for iOS devices in 2010.

• Machine Learning
• Natural Language Processing
• Multimedia Systems
• +۳ مورد دیگر

Liao Lizi is an Assistant Professor and Lee Kong Chian Fellow at Singapore Management University's School of Computing and Information Systems. She received her Ph.D. from the National University of Singapore under Professor Tat-Seng Chua. Her research explores the intersection of Machine Learning, Natural Language Processing, and Multimedia, focusing on developing conversational AI systems. Key areas include: Proactive conversational agents that anticipate user needs Multimodal conversational search and recommendation systems Task-oriented dialogue frameworks Human-machine collaborative systems Emotional support and empathetic response generation Her publications demonstrate a strong focus on advancing conversational AI through novel architectures for dialogue planning, multimodal understanding, and knowledge-enhanced generation. Recent work shows increasing emphasis on LLM optimization, financial reasoning benchmarks, and emotional intelligence in dialogue systems. Scientific Awards: Lee Kong Chian Fellowship Google South Asia & Southeast Asia Research Awards 2023 She leads the CoAgent Lab and advises multiple PhD students including recipients of the SMU Presidential Doctoral Fellowship. Current teaching includes Visual Analytics for Business Intelligence (IS428) and Text Analytics and Application (ISSS609).

• Artificial Intelligence
• Data Science
• Data Management & Mining
• +۵ مورد دیگر

Steven Hoi is a full-time Professor of Computer Science at the School of Computing and Information Systems (SCIS) within Singapore Management University (SMU) . He is currently on leave but remains actively engaged in academic research. His primary research domains include Artificial Intelligence , Data Science , and Machine Learning , with specific emphasis on Vision-Language Models , Time Series Forecasting , and Human-Machine Collaborative Systems .

• Artificial Intelligence
• Machine Learning
• Computer Vision
• +۳ مورد دیگر

Chao Li is a Researcher and Postdoctoral Fellow at the Bureau of Economic Geology within the Jackson School of Geosciences at The University of Texas at Austin. His primary research focuses on advancing generative AI, diffusion models, and multimodal understanding through innovative machine learning techniques. He is affiliated with the Bureau of Economic Geology and holds an office at the Petroleum Institute of Texas (PIC KLE). His work emphasizes cutting-edge contributions to generative models, including advancements in 3D shape synthesis, multimodal systems, and efficient diffusion processes. Recent publications highlight breakthroughs in rectified flow models, reinforcement learning for LLMs, and model compression techniques. Chao's research bridges theoretical foundations with practical applications in vision-language models and large-scale data processing. Chao's technical contributions include frameworks like SlimFlow for model efficiency and DISCS for discrete sampling benchmarks. His lab affiliations and collaborations underscore a commitment to interdisciplinary geoscience applications, though his core technical focus remains in AI-driven computational methods.

Jiangyu Zhengمشاهده پروفایل

استاد

• Computer Vision
• Artificial Intelligence
• Autonomous Driving
• +۳ مورد دیگر

Jiangyu Zheng is a Professor of Computer Science at Purdue University, affiliated with both West Lafayette and Indianapolis campuses. He holds dual roles within the Department of Computer Science and the College of Science. His career includes tenure at ATR Communication Systems Research Laboratory (1990–1993) and Kyushu Institute of Technology (1993–2001) as an associate professor, before joining Indiana University Purdue University Indianapolis (IUPUI) in 2001, where he advanced to full professorship. He earned a PhD in Control Engineering from Osaka University (1990) and a BS in Computer Science from Fudan University (1983). Dr. Zheng’s research focuses on computer vision, AI, autonomous driving, multimedia, virtual reality, and robotics. His pioneering work includes the world’s first digital panoramic image and motion-based human tracking systems. He has received notable awards such as the 1991 Best Paper Award (IPSJ) and 2000 Excellent Paper Award (Japan Society of Art & Science). His publications emphasize vehicle interaction analysis, semantic segmentation for autonomous systems, and hazard detection using deep learning. Key projects include developing motion profile-based collision alarming systems and weather/illumination-adaptive road profiling. He is a senior IEEE member and maintains active research labs focusing on AI-driven traffic systems and immersive technologies.

David Brooksمشاهده پروفایل

استاد

• Computer Architecture
• Energy-Efficient Computing
• Sustainable Computing
• +۳ مورد دیگر

David Brooks is the Haley Family Professor of Computer Science at Harvard University's John A. Paulson School of Engineering and Applied Sciences. His research focuses on energy-efficient computing architectures, sustainable systems, and hardware/software co-design for AI. He holds a Ph.D. from Princeton University (2001) and a B.S. from the University of Southern California (1997). Research interests include energy-efficient computer architectures for high-performance and embedded systems, sustainable computing ecosystems, and AI hardware resilience. His innovations like dynamic thermal management and AI co-design have been adopted in industry. Recent publications emphasize reducing computing's environmental impact, with work on carbon-aware systems, PFAS mitigation in semiconductors, and quantum computing performance modeling. Awards include the ACM Maurice Wilkes Award and IEEE Fellow status. Brooks leads initiatives such as the NSF-funded Carbon Connect and collaborates with industry partners like Meta. His work bridges academic research with practical sustainability solutions for computing infrastructure.

Alain Breuleuxمشاهده پروفایل

دانشیار

• Cognition
• Educational Technology
• Collaborative Learning
• +۵ مورد دیگر

Alain Breuleux is a retired Associate Professor in the Department of Educational & Counselling Psychology at McGill University's Faculty of Education. He specializes in educational technology integration, teacher professional development, and collaborative learning communities. His work focuses on leveraging technology to enhance pedagogical practices through research-practice partnerships. Dr. Breuleux holds a B.Sc., M.Sc., and Ph.D. from Université de Montréal. His research explores cognition in learning environments, online community dynamics, and sociocultural theories like Cultural Historical Activity Theory (CHAT). He has contributed to scalable professional development models for educators and innovative uses of digital tools in remote learning contexts. His recent publications emphasize active learning strategies, teacher agency, and boundary-crossing in educational research. He has presented widely on topics such as knowledge-building networks and formative change laboratories. Despite not currently supervising students, his scholarship has shaped policies for ICT integration and teacher collaboration.

Myungin Leeمشاهده پروفایل

مدرس

• Multimodal Instrument Design
• Human-Computer Interaction (HCI)
• Machine Learning
• +۷ مورد دیگر

Myungin Lee is a Lecturer at the Department of Immersive Media Design, University of Maryland, College Park. His research focuses on designing multimodal instruments and interactive systems that integrate principles from HCI, machine learning, signal processing, and neuroscience. Key projects include NeuResonance (inter-brain synchronization feedback) and FractalBrain (EEG-based VR mindfulness tools). He has contributed to venues like ACM CHI, IEEE VIS, and NIME, and holds patents on reverberation time estimation using neural networks. Research interests span crossmodal correspondence in XR, neuro-interactive systems, and real-time audio-visual simulations. Notable collaborations include the NASA Ocean Project and AlloSphere Research Group . His work has been showcased at Ars Electronica and Getty PST 2024. Education: PhD in Media Arts & Technology (implied by dissertation, 2023) Patents: Multichannel microphone-based reverberation time estimation methods (WO2018111038A1, US10854218B2, etc.).

• Movement Behaviors
• Early Childhood Education
• Physical Activity Promotion
• +۳ مورد دیگر

Rachel Jones is an Associate Professor in the School of Education at the University of Wollongong, Australia. She holds a PhD from the same institution and is affiliated with the Faculty of the Arts, Social Sciences and Humanities. Her research focuses on movement behaviors (physical activity and sedentary behavior) in young children (3-5 years), with a particular emphasis on intervention strategies, early childhood educator professional development, and quality improvement in early education settings. Dr Jones also teaches research methodology at undergraduate and postgraduate levels and contributes to the Early Years program. Education: Ph.D. Doctor of Philosophy, University of Wollongong Research Interests: Dr Jones' work bridges education and health sciences, addressing: Prevention and intervention strategies for early childhood physical activity Professional development for early childhood educators Quality assessment of ECEC environments related to movement play Global health studies (e.g., Mongolian preschooler behavior patterns) Motor skill development's cognitive/social impacts Grants & Leadership: Co-chair, Early Childhood Education Special Interest Group (International Society of Behavioural Nutrition and Physical Activity) Principal investigator on projects including: Motor development assessment tools Children's museum-based health programs Wearable technology for child activity tracking Supervision: Currently guiding research on interventions for physical activity promotion, movement behaviors in Mongolia, and screen use in disadvantaged communities. Labs/Teams: Collaborates within Early Start research networks and interdisciplinary teams focusing on early childhood development.

• Investigative Journalism
• Multimedia Investigations
• Government Accountability
• +۳ مورد دیگر

Mark Greenblatt is a Professor of Practice at the Walter Cronkite School of Journalism and Mass Communication, Arizona State University. A three-time Peabody Award winner, he specializes in high-impact multimedia investigations that drive legal and institutional reforms. His work includes exposing military sex offender registration loopholes, leading to Senate action under President Obama, and uncovering systemic flaws in police clearance practices for rape cases. Education: Not explicitly listed in text. Research focuses on investigative journalism's role in accountability, with notable projects like the podcast 'The Next Threat' (exposing extremist networks) and the 'Case Cleared' series (exposing police data manipulation). His reporting has directly influenced legislative changes and felony indictments. Awards include three Peabody Awards for investigative work. Collaborations include Scripps News, ProPublica, and Reveal. He advises students in graduate programs and the W. P. Carey MBA.

• Machine Learning
• Computer Vision
• Human Motion Analysis
• +۳ مورد دیگر

Dr. Timilehin Aderinola is a Marie Curie Postdoctoral Fellow at the School of Computer Science, University College Dublin. His research focuses on applying machine learning and computer vision to analyze human movement, particularly in neurological conditions like Parkinson's disease. He holds a PhD in Information Technology from Multimedia University, Malaysia (2022), and master's and bachelor's degrees from Federal University of Technology Akure, Nigeria (2017 and 2012). Education: B.Eng. (Hons) in Electrical and Electronic Engineering, Federal University of Technology Akure (2012) M.Sc. in Computer Science, Federal University of Technology Akure (2017) PhD in Information Technology, Multimedia University Malaysia (2022) Research Interests: Machine Learning and Computer Vision Human Motion Analysis (e.g., gait analysis, fall detection) Applications in healthcare and surveillance Awards: Silver Medal (2021) for commercialization potential of PhD work Honourable Mention (2021) at NP2C poster competition Advising/Grants: Co-supervised research projects on exercise classification and human pose estimation. Engaged in peer review for conferences like ECML-PKDD and ICoICT. Labs/Teams: Active in the Insight Centre for Data Analytics at UCD, focusing on NeuroInsight Marie Skłodowska-Curie Fellowship projects analyzing mobility data for neurological patients.

Ala Al Kafriمشاهده پروفایل

مدرس ارشد

• Artificial Intelligence
• Machine Learning
• Medical Imaging Analysis
• +۵ مورد دیگر

Ala Al Kafri is a Senior Lecturer in Computer Science at Teesside University's Department of Computing & Games, affiliated with the Centre for Digital Innovation. With over 16 years of teaching experience across multiple institutions globally, he specializes in machine learning, artificial intelligence, and medical imaging applications. His research focuses on AI-driven diagnostics for lumbar spine diseases, with notable contributions to MRI analysis using convolutional neural networks. He has collaborated on projects involving physiotherapy education technology, autism screening, and multidisciplinary learning initiatives. Education includes a PhD in Machine Learning for Lumbar Spine Disease Diagnosis from Liverpool John Moores University (2019), an MSc from New York Institute of Technology (2005), and a bachelor’s degree. Professional development includes a Postgraduate Certificate in Academic Practice. Research interests span medical AI, data science, and education technology, with emphasis on practical applications in healthcare and learning environments. Key collaborations include developing an AI tool for lumbar spine disease prediction with University Multimedia Nusantara, and creating video-based physiotherapy assessment systems. Recent projects include AI-powered physiotherapy education systems, autism screening using ML, and smart highway vehicle detection. His work integrates technical innovation with real-world societal impact through multidisciplinary approaches.

Nick Reidمشاهده پروفایل

دانشیار مدعو

• Linguistics
• Australian Aboriginal Languages Documentation
• Morphological and Syntactic Typology
• +۶ مورد دیگر

Adjunct Associate Professor Nick Reid is an emeritus academic at the University of New England (UNE), specializing in Australian Aboriginal linguistics and language revitalization. He retired in 2019 but continues research on Daly River languages (NT), including Ngan'gikurunggurr and Ngan'giwumirri. His work bridges descriptive linguistics, ethnomusicology, and environmental science, notably linking Indigenous oral traditions to sea-level chronologies. A pioneer of online education, he co-developed UNE's Master of Applied Linguistics and created multimedia resources like the Phonetics: An Interactive Introduction CD-ROM. Reid holds a BA (Hons) and PhD from ANU, with research interests spanning morphosyntax, nominal classification systems, and Indigenous language maintenance. He collaborates with institutions like the Northern Institute (CDU) and the University of Melbourne on projects blending linguistics with environmental science. Awards include the Carrick Citation (2006) for student learning innovations and UNE's Vice-Chancellor's Award (2000) for teaching excellence. His publications emphasize language documentation, including grammars and curriculum resources for Aboriginal communities. Recent work focuses on collaborative projects with the Ngan’gi Schools Network and coastal inundation studies with Patrick Nunn. He has supervised numerous higher-degree students and remains active in eResearch initiatives, such as digitizing the Ngan’gi language collection.