Find Academic Supervisors

• Immunotherapy
• Melanoma Research
• Translational Oncology
• +2 more

Ines Esteves Domingues Pires Da Silva is a Senior Lecturer at the Faculty of Medicine and Health, University of Sydney, and a Cancer Institute NSW Early Career Fellow. She leads translational oncology research in the FMH Translational Research Collective, focusing on immune checkpoint therapies, tumor microenvironment dynamics, and resistance mechanisms in melanoma and lung cancer. Her research integrates clinical and molecular oncology to develop predictive biomarkers for immunotherapy response. Key interests include organ-specific treatment resistance, combination therapies, and real-world outcomes across melanoma subtypes and thoracic malignancies. Recent studies explore stromal T-cell spatiotypes, KRAS-mutant NSCLC, and seasonal toxicity patterns. Dr. da Silva's publications demonstrate consistent focus on immunotherapy optimization in advanced cancers, with 2023-2025 works highlighting biomarker discovery, treatment durability, and novel therapeutic combinations. Over 85% of recent articles address clinical translation of immune-oncology concepts. Awards & Fellowships: Cancer Institute NSW Early Career Fellowship (2022) Research Leadership: Dr. da Silva mentors graduate students including Marissa GUAN (PhD candidate studying squamous cell carcinoma metastasis) and has secured competitive grants: NHMRC Ideas Grant: Liver metastases: therapeutic opportunities (2022) CINSW Translational Program Grant: Personalized Immunotherapy Platform (2021) She co-leads multidisciplinary teams at the FMH Translational Research Collective focusing on biomarker-driven clinical trials. Current projects investigate organ-specific resistance mechanisms and next-generation immunotherapies.

• Transportation Engineering
• Traffic Flow Theory
• Quantum Computing
• +7 more

Alireza Talebpour is an Assistant Professor in the Department of Civil and Environmental Engineering at the University of Illinois. He leads the Smart City Lab and focuses on advancing transportation systems through research in automated vehicles, traffic flow theory, and quantum computing applications. His work bridges microeconomic principles with microscopic traffic modeling to enhance urban mobility solutions. Education Ph.D. Civil and Environmental Engineering, Northwestern University (2015) M.Sc. and B.Sc. Civil and Environmental Engineering, Sharif University of Technology (2009, 2007) Research Interests His research spans quantum computing for infrastructure optimization, human-automated vehicle interactions, and AI-driven traffic management. Key areas include: - Mixed traffic systems with connected/autonomous vehicles - Smart city infrastructure and policy design - Microscopic traffic simulation (e.g., TGSIM dataset) - Freight and public transit consolidation strategies Key Contributions Recent work explores: - Charging lanes for EVs and their traffic impacts - Lane-changing behavior in automated driving environments - Quantum algorithms for EV charging station placement - Safety implications of self-enforcing street designs Affiliations He chairs the Traffic Flow Theory Committee at the Transportation Research Board and collaborates on national efforts for autonomous vehicle integration. Current projects include: - Developing game-theoretic frameworks for intersection maneuvers - Enhancing traffic prediction via machine learning - Evaluating infrastructure impacts of truck platooning

Anita Say ChanView profile

Professor

• Science and Technology Studies
• Globalization and Innovation Economies
• Critical Data Studies
• +7 more

Anita Say Chan, Professor at the University of Illinois Urbana-Champaign, is a leading scholar at the intersection of science and technology studies, critical data analysis, and decolonial frameworks. She holds appointments in the College of Media and the School of Information Sciences (iSchool), directing the Community Data Clinic and co-leading the Just Infrastructures Initiative . Her research examines datafication, ethical technology design, and historical parallels between eugenics and Big Tech, as detailed in her acclaimed book Predatory Data: Eugenics in Big Tech . Education: PhD in History and Anthropology of Science and Technology Studies, MIT Chan’s work spans globalization and innovation economies , feminist data studies , and digital humanities , with a focus on marginalized communities and data sovereignty. Her publications address query optimization , graph-based AI , and reinforcement learning , reflecting a technical and critical lens. Recent awards include the Fiddler Innovation Faculty Fellow and support from the National Science Foundation . She also serves as a Fulbright Specialist , advancing feminist data collectives in Latin America. Key Contributions: Founding the Community Data Clinic at NCSA Co-leadership in the Just Infrastructures Initiative Collaboration on the Feminist Data Manifest-NO project

Bogdan VrusiasView profile

Visiting Professor

• Generative AI
• Large Language Models
• Foundation Models
• +6 more

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
• +5 more

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
• +3 more

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
• +3 more

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 VerstocktView profile

Professor

• Multimodal Data Processing
• Video Analysis
• Computer Vision
• +2 more

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 IqbalView profile

Assistant Professor

• Human-Robot Collaboration
• Artificial Intelligence
• Computer Vision
• +3 more

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 NogaretView profile

Professor

• Condensed Matter Physics
• Quantum Devices
• Neuromorphic Engineering
• +4 more

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
• +3 more

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 ChandrakerView profile

Professor

• Computer Vision
• 3D Reconstruction
• Scene Understanding
• +5 more

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 AdamiView profile

Associate Professor

• Multimodality
• Social Semiotics
• Multimodal Discourse Analysis
• +7 more

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
• +9 more

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 LiView profile

Lecturer

• Climate Science
• Environmental Data Analysis
• Natural Language Processing
• +3 more

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