جست‌وجوی استاد و پژوهشگر

Bogdan Vrusiasمشاهده پروفایل

استاد مهمان

• Generative AI
• Large Language Models
• Foundation Models
• +۶ مورد دیگر

Bogdan Vrusias is a Visiting Professor at the University of Surrey's School of Computer Science and Electronic Engineering (part-time). He concurrently serves as Global Head of AI and Data Engineering at The Economist. His academic journey began at Surrey as an undergraduate (BSc Computing and Information Technology, 1998), followed by a PhD in multi-modal information retrieval (2004) and an MBA (2010). He is a Fellow of the Higher Education Academy (FHEA). Education: PhD, University of Surrey (2004) MBA, University of Surrey (2010) BSc Computing and Information Technology, University of Surrey (1998) His research spans Generative AI, Large Language Models, Foundation Models, Machine Learning, Deep Learning, Cloud Computing, Natural Language Processing, and Computer Vision . His work focuses on developing scalable AI architectures and semantic technologies for real-world applications. Publications consistently explore semantic systems, neural networks, and multimodal information retrieval . Recent articles emphasize video annotation frameworks and P2P network architectures, while earlier work established foundations in self-organizing maps and feature selection for high-dimensional data. Awards: FHEA (Fellow of the Higher Education Academy) He previously directed UG/PG programs at Surrey and created pioneering courses like Web Hacking Countermeasures. His industry leadership includes founding tech startups and heading Amazon Web Services' AI/ML Specialist Solutions Architects team for EMEA. At The Economist, he drives AI and data transformation.

• Ophthalmology
• Public Health
• Dry Eye Disease
• +۵ مورد دیگر

Dr Ngozi Chidi-Egboka is a Postdoctoral Research Fellow at the Save Sight Institute, University of Sydney, within the Faculty of Medicine and Health. She is also a member of the Charles Perkins Centre. As a therapeutically trained optometrist, her work focuses on improving eye health care delivery, particularly in anterior eye health, dry eye disease, and the impact of digital screen use on ocular health. Her research spans basic science, clinical trials, and translational studies, aiming to enhance diagnostic methods, understand environmental influences, and promote evidence-based treatments. Dr Chidi-Egboka holds prestigious fellowships, including the American Academy of Optometry and Nigerian College of Optometrists, and has completed a residency in Cornea and Contact Lenses. She contributes to global optometry and ophthalmology through peer review, professional committee work, and mentoring in STEM. Key achievements include developing clinical guidelines for ocular surface disease and advancing methodologies for dry eye symptom measurement in children. Research Projects: Save Sight Dry Eye Registry, Guidelines for Ciclosporin Use in Ocular Surface Disease Awards: Brian Kirby Prize (2023), Dean’s Excellent Thesis Award (2022), Multiple Travel Grants (2016–2022) Professional Affiliations: Cochrane Collaboration, Tear Film and Ocular Surface Society, ARVO, and Women-in-STEM initiatives. Her work bridges clinical practice and research, emphasizing public health impacts and translational innovation. Recent studies explore the ocular surface burden of chemotherapy and digital device effects on blinking in children.

• Early Childhood Education
• Infant and Toddler Development
• Socio-Economic Disparities in Education
• +۳ مورد دیگر

Belinda Davis is a Senior Lecturer at the Macquarie School of Education, Macquarie University, specializing in early childhood education. Her research focuses on pedagogy, curriculum design, and how children’s experiences shape learning, particularly for infants, toddlers, and low socio-economic groups. She is affiliated with The Centre for Research in Early Childhood Education (CRECE) and the Lifespan Health and Wellbeing Research Centre. Her teaching spans postgraduate and undergraduate early childhood programs. Key research projects include the ORICL initiative (Observing, Reflecting, Improving Children’s Learning) and collaborations with institutions like the Museum of Contemporary Art Australia. She has received the OMEP New Scholar Award for her work on refugee representation in children’s literature. Recent publications address quality assessment in childcare systems, multimodal literacy, and policy impacts on preschool attendance. Davis actively supervises Higher Degree Research students and contributes to professional development initiatives for educators.

• Neurodevelopmental Disorders
• Pediatric Neuroscience
• Environmental Health
• +۳ مورد دیگر

Elizabeth R. Sowell-Crowell, PhD, is a Professor of Pediatrics, Neurology, and Psychology at the Keck School of Medicine, University of Southern California (USC), and a researcher at The Saban Research Institute. Her work focuses on understanding brain development in children and adolescents, particularly in populations affected by neurodevelopmental disorders such as fetal alcohol spectrum disorders (FASD) and autism. She investigates how structural and functional brain changes correlate with behavioral and cognitive outcomes, aiming to identify intervention strategies for abnormal developmental patterns. Her research integrates advanced neuroimaging techniques (e.g., MRI, fMRI) to study environmental and socioeconomic factors impacting brain health, including exposure to pollutants like lead and fine particulate matter. She also explores the impact of HIV on neurodevelopment in youth and examines sex differences in brain maturation linked to puberty and hormonal changes. Key contributions include longitudinal studies on cortical and subcortical development, the Adolescent Brain Cognitive Development (ABCD) study, and the Pediatric Imaging, Neurocognition, and Genetics (PING) repository. Her work emphasizes translational research to bridge biological findings with clinical and educational interventions.

Steven Verstocktمشاهده پروفایل

استاد

• Multimodal Data Processing
• Video Analysis
• Computer Vision
• +۲ مورد دیگر

Steven Verstockt is a Professor at Ghent University’s Department of Electronics and Information Systems, affiliated with the Internet Technology and Data Science Lab (IDLab) and the Multimedia Lab. His research spans multimodal data processing computer vision video analytics geospatial information technology sports data science domains. He leads interdisciplinary projects in sports, media, and cultural heritage, focusing on spatio-temporal data collection, classification, and visualization. Recent research trends highlight his work in CO2-based occupancy detection BIM semantic enrichment multi-camera sports analytics geosocial media mining historical archive digitization hyperspectral image classification published across 2025–2024. His team combines computer vision, machine learning, and geospatial tools for real-world applications.

Tariq Iqbalمشاهده پروفایل

استادیار

• Human-Robot Collaboration
• Artificial Intelligence
• Computer Vision
• +۳ مورد دیگر

Tariq Iqbal is an Assistant Professor in the Department of Systems Engineering and Computer Science at the University of Virginia, located at Olsson Hall 263. His research focuses on developing robotic systems capable of fluent collaboration with humans in complex environments, such as factories. His work integrates robotics, artificial intelligence, computer vision, and machine learning to enhance human-robot coordination and trust. Research interests include human-robot interaction , motion prediction , multimodal learning , and assistive robotics . Notable projects involve creating systems like CoHRT for teamwork, FOLD for cloud robotic workload distribution, and VADER for motion prediction using GANs. He has secured a grant from the Air Force Office of Scientific Research to advance trust between humans and robots. His publications span topics such as gesture recognition, trust modeling via biometrics, and embodied question answering. Recent work addresses dementia care robotics and energy optimization in maritime ports. Ongoing efforts emphasize ethical design, accessibility, and safety in human-robot systems.

Alain Nogaretمشاهده پروفایل

استاد

• Condensed Matter Physics
• Quantum Devices
• Neuromorphic Engineering
• +۴ مورد دیگر

Alain Nogaret is a Professor in the Department of Physics at the University of Bath, leading the NanoBioEletronics group. His research spans two main areas: low-dimensional and nonlinear systems in condensed matter physics, and the physics of neural synchronization and biomedical applications. He holds affiliations with multiple interdisciplinary centers including the Centre for Networks and Collective Behaviour, Centre for Nanoscience and Nanotechnology, and Institute for Mathematical Innovation. Research Interests: Two-dimensional electron physics in inhomogeneous magnetic fields Quantum Hall systems and spin resonance phenomena Neuromorphic engineering and computational neuroscience Development of silicon neural networks for medical therapies Biomedical applications including cardiac pacing and disease treatment Key Projects (2022-2025): "Pacing with Digital Twins of Brainstem Neuronal Circuits" (EU Horizon 2020) "GW4 Epilepsy Community Extension" "PROTEOCARE: Market study & Commercial Partnerships" Lab/Teams: NanoBioEletronics Group Condensed Matter Physics CDT Bath Institute for the Augmented Human Advisory Role: Supervising doctoral students in molecular electronics, quantum devices, and neuromorphic systems. Open to PhD applications in computational neuroscience and biomedical engineering domains.

• Learning Analytics
• Artificial Intelligence in Education
• Educational Technology
• +۳ مورد دیگر

Xinyu Li is a Research Fellow at the Department of Human Centred Computing, Monash University. Their work focuses on multimodal learning analytics, AI in education, and collaborative learning dynamics, contributing to UN Sustainable Development Goals through educational technology advancements. Key research areas include generative AI's impact on learning processes, self-regulated learning strategies, and spatial data analysis for educational systems. Over 27 peer-reviewed publications since 2021 demonstrate expertise in learning analytics, educational psychology, and computer science intersections. Recent studies examine metacognitive effects of AI tools, comparative analysis between ChatGPT and human experts in learning support, and temporal dynamics of collaborative learning through sensor data. Work also extends to spatial computing with road network query optimization and ethical challenges of large language models in education. Collaborations span global institutions, reflecting interdisciplinary reach in education technology. Publications have been widely disseminated via news outlets, social platforms, and academic networks, achieving significant readership on Mendeley. Research bridges technical innovations (e.g., FLoRA Engine, VizChat systems) with educational outcomes, emphasizing practical deployments and real-world impact through field trials and randomized controlled trials.

Manmohan Chandrakerمشاهده پروفایل

استاد

• Computer Vision
• 3D Reconstruction
• Scene Understanding
• +۵ مورد دیگر

Manmohan Chandraker is a Professor in the Department of Computer Science & Engineering at the University of California, San Diego (UCSD). His research focuses on computer vision, 3D reconstruction, and autonomous driving, with interdisciplinary links to robotics, machine learning, and computer graphics. He leads projects in 3D scene understanding, real-time visual odometry, and sensor fusion for autonomous systems. His work has been recognized with top academic awards and industry accolades. Education: B.Tech. in Electrical Engineering from IIT Bombay Ph.D. in Computer Science from UCSD Postdoctoral scholarship at UC Berkeley Research Interests: Chandraker’s work addresses challenges in 3D reconstruction under complex lighting and materials, autonomous driving systems, and physically-based inverse rendering. Key contributions include frameworks for non-convex optimization in geometric reconstruction and semantic-driven dense reconstruction techniques. His research bridges theory and practice, with applications in augmented reality, robotics navigation, and automotive safety systems. Key Awards: Best Paper Award at CVPR 2014 UCSD CSE Dissertation Award (2009) NEC Business Contribution Award (2015) Advising & Industry Collaboration: He has led teams at NEC Labs America, collaborating with automobile manufacturers to develop single-camera systems for real-time autonomous driving. His work on closed-loop traffic simulations and adversarial scenario generation has driven industry partnerships and patents. Current research explores multimodal LLM integration, data-centric AI tools (e.g., Ymir platform), and photorealistic scene synthesis. Labs & Projects: Chandraker’s group develops open frameworks like OpenRooms and TRoVE for 3D scene datasets, and contributes to benchmarks for domain adaptation in vision tasks. His team also works on safety-critical systems for autonomous vehicles through projects like SAFE-SIM and Drive-1-to-3.

Elisabetta Adamiمشاهده پروفایل

دانشیار

• Multimodality
• Social Semiotics
• Multimodal Discourse Analysis
• +۷ مورد دیگر

Dr. Elisabetta Adami is an Associate Professor in Multimodal Communication at the University of Leeds, affiliated with the School of Languages, Cultures and Societies. Her work focuses on social semiotic analysis of communication across modalities, including gestures, digital platforms, and intercultural interactions. She holds a PhD from the University of Verona and has held research and teaching roles at institutions including UCL and the University of Chieti-Pescara. Education: PhD in English Studies and Linguistics, University of Verona (Italy) Special Research Programme, Institute of Education, UCL-London Research Interests: Elisabetta explores how meaning is constructed through multimodal resources in diverse settings—from face-to-face interactions to digital environments. Her work emphasizes intercultural communication, digital literacy, and the role of visual and spatial elements in sign-making. Recent projects include analyzing pandemic-era communication through the PanMeMic initiative and investigating translanguaging in deaf education. Key Projects: PanMeMic: Global research on pandemic-era communication shifts EU-MADE4LL: Multimodal digital education for language learning Leeds Voices: Superdiversity in the Market Editorial Roles: Co-founding editor of Multimodality & Society Editorial board member of Visual Communication , Multimodal Communication , and Kairos Student Supervision: Elisabetta supervises PhD candidates researching topics such as Thai cultural representation online, politeness in translation, and Chinese video game localization.

• Multimodal Signal Processing
• Smart Systems
• Digital Transformation
• +۹ مورد دیگر

Professor Mohamed Abdel-Maguid is a Visiting Professor of Smart Systems at the University of Suffolk, affiliated with the School of Technology, Business and Arts. He has over 25 years of experience in academia and industry, focusing on innovation, enterprise, and knowledge exchange. Since 2012, he has led initiatives such as the New Anglia Digital Skills Accelerator and the Ipswich Waterfront Innovation Centre, generating over £12 million in external funding. Education: B.Eng. (Distinction) in Electronics and Telecommunications from AAST, Egypt; MSc. (Distinction) in Telecommunications Engineering from AAST, Egypt; PhD in Electronic Engineering (Image and Video Processing) from Staffordshire University. Professional qualifications include Fellowships from the Chartered Management Institute and the Institute of Innovation and Knowledge Exchange, alongside Senior Membership in the IEEE. Research interests span multimodal signal processing, smart systems for future cities, digital transformation, and technology-assisted learning. Notable projects include telemedicine advisory work for the Egyptian Ministry of Health and fraud detection systems for Tanzania’s tax authority. Awards include the UHNS Clinical Innovation Award (2010) and Lord Stafford Award (2009). Advising & Grants: Supervised over 25 postgraduate students to completion, contributed to international conferences, and advised governments and corporations on smart technologies. Key projects include the 3D Productivity Centre and STEM Centre at the University of Suffolk. Labs/Teams: Active in the New Anglia Digital Skills Accelerator (collaboration with BT Group), the Ipswich Waterfront Innovation Centre, and the STEM Centre.

Ni Liمشاهده پروفایل

مدرس

• Climate Science
• Environmental Data Analysis
• Natural Language Processing
• +۳ مورد دیگر

Ni Li is a Lecturer and doctoral candidate in the Department of Water and Climate at the Faculty of Engineering, Vrije Universiteit Brussel. Their research focuses on climate extremes, environmental data analysis, and natural language processing applications in climate science. Ni has presented at international workshops such as the Helmholtz Center for Environmental Research (UFZ) and the COMPASS Workshop on Climate Risks. They have also engaged in teaching activities, including a workshop on Shell & Git for big data and modeling. Ni’s interdisciplinary work bridges climate science, text-mining techniques, and music technology, as evidenced by their diverse publication record. Research Interests: Climate Impact Analysis using LLMs Text-as-data methods in hydrology and natural hazards IoT applications for environmental comfort Algorithmic fairness in recommendation systems Rhythm perception in music and language development Recent Activities: Keynote speaker at the UFZ workshop on Big Data and Modelling (Feb 2025) Presentation at ClimateNLP 2024 on climate impact databases Teaching workshops on computational tools for researchers

Li Wangمشاهده پروفایل

استاد آموزشی

• AI
• Biometrics
• Big Data
• +۱ مورد دیگر

Li Wang is an Assistant Teaching Professor at Syracuse University. His research interests span AI, Biometrics, Big Data, and System & Web Security. He teaches courses including CSE 581 Introduction to Database Management System and CIS 342 Introduction to System Programming . Education includes a BA in Electrical & Computer Engineering from Central South University (China) and an MS in Computer Science from Louisiana Tech University. Research focuses on cybersecurity applications of AI, biometric authentication systems, and multimodal datasets. Publications highlight work on game theory for cyber-insurance, keystroke-based authentication via music, and gait recognition surveys. No scientific awards or advising/grant details are listed in the provided text.

Franceska Xhakajمشاهده پروفایل

عضو هیئت علمی

• Educational Technology
• Intelligent Tutoring Systems
• Learning Analytics
• +۳ مورد دیگر

Franceska Xhakaj is an Assistant Teaching Professor in the Computer Science Department at Carnegie Mellon University, affiliated with the School of Computer Science. She specializes in educational technology, intelligent tutoring systems, and learning analytics. Her work focuses on leveraging technology to enhance teaching practices, particularly through classroom sensing, data-driven instruction, and dashboard design for educators. She teaches courses such as 15110 ('Fundamentals of Programming and Computer Science'), 15121 ('Great Ideas in Theoretical Computer Science'), and 15890 ('Special Topics in CS'). Her research integrates artificial intelligence and human-computer interaction to improve educational outcomes, including studies on teacher dashboards, gaze-tracking classroom digital twins, and heuristic evaluations via multimodal LLMs. She has contributed to systems like EduSense and Luna, aiming to scale practical classroom analytics and support teacher professional development. Her teaching responsibilities include multiple semesters of introductory programming courses (2023-2025), reflecting her dual focus on both research innovation and foundational computer science education. Key projects emphasize bridging gaps between technological tools and pedagogical needs, with recent work exploring instrumentation-free classroom monitoring and adaptive learning systems.

John Darbyمشاهده پروفایل

مدرس ارشد

• Computer Vision
• Machine Learning
• Human Movement Analysis
• +۵ مورد دیگر

Dr. John Darby is a Senior Lecturer in the Department of Computing, Mathematics and Digital Technology at Manchester Metropolitan University (MMU). He serves as the programme leader for the MSc Computer Science and teaches AI and machine learning modules. His research focuses on non-invasive Computer Vision techniques for analyzing human movements, spanning from skeletal muscle analysis to behavior classification and human-object interactions. He holds a PhD from MMU and has industry experience as a Software Engineer at Echostar Europe. Education: BSc Hons. in Computational Physics (University of Edinburgh, 2000–2003), MSc in Mobile and Distributed Computer Networks (Leeds Metropolitan University, 2003–2004), and a PhD from MMU (2006–2010). Postdoctoral roles included Research Assistant at IRM (2010–2011) and Research Associate at SCMDT (2011–2013). Research Interests: His work integrates Machine Learning, Image Processing, and Particle Filtering to address challenges in surveillance, biomechanics, and healthcare. Key applications include markerless motion tracking, implement recognition, and clinical decision support systems. He collaborates with the Image and Sensory Computation Group on interdisciplinary projects. Advising & Grants: While specific student names or grant details are not listed, his role as a Senior Lecturer and programme leader implies involvement in supervising postgraduate students and securing research funding. His projects often involve clinician-led approaches and industry partnerships. Labs/Teams: Active contributor to the Image and Sensory Computation Group, focusing on human movement analysis and healthcare technology applications.