Find Academic Supervisors

• Physics Education
• STEM Education
• Science Teacher Training
• +3 more

Professor Manjula Sharma is a Professor of Science Education at The University of Sydney, holding dual appointments in the Faculty of Science and the Department of Physics. She serves as Director of the STEM Teacher Enrichment Academy and previously led the Sydney University Physics Education Research (SUPER) group. Her roles include Vice Chair of IUPAP Commission C14 on Physics Education, and co-founder of the Australian Conference on Science and Mathematics Education (ACSME) and the International Journal of Innovation in Science and Mathematics Education (IJISME). Sharma's educational background includes a PhD in Physical Optics and MEd in Research Methods from The University of Sydney, following early studies at the University of the South Pacific. Her research focuses on physics education, STEM teacher training, and innovative laboratory pedagogy. She has pioneered initiatives such as the ASELL Schools program for advancing science and engineering through laboratory learning. Her work emphasizes curriculum development, active learning strategies, and the integration of technology in education. Notable projects include the development of workshop tutorials for physics education and the creation of multimedia resources for physics students. She has secured grants for advancing STEM teaching practices in Australia and international collaborations, including India through the Australian Leadership Awards Fellowships program. Sharma’s contributions span over 100 peer-reviewed publications across books, journals, and conference proceedings. Her research addresses topics such as student engagement in labs, peer observation programs, and the transition to online teaching during the pandemic. She actively engages in policy-making through academic networks like SaMnet, fostering collaboration among university science educators nationally and globally.

• Strategic Design
• Design-Driven Innovation
• Experience Design
• +1 more

Associate Professor Daniel Faellman is a design researcher and practitioner affiliated with The University of Sydney's School of Architecture, Design and Planning. His role as Associate Professor of Practice emphasizes the application of designerly skills to real-world organizational challenges. His research explores strategic design, design-driven innovation, experience design, and design theory. He holds an office at G04 - Wilkinson Building on the university campus. His work bridges academic research and practical applications, focusing on how design methodologies can address contemporary organizational problems. Publications span architectural visualization, interactive installations, and critiques of computing paradigms. Key themes include sustainable design, interactive technologies, and the intersection of architecture with digital tools. Recent publications (2013) highlight innovations in interactive installations and sustainable technology implementations. Earlier work (2010-2012) explored stop-motion animation as a design sketching tool and critiqued desktop computing limitations. No awards or grants are explicitly listed in the profile. His advising record and lab affiliations remain unspecified, though his research collaborations involve projects like The Voice Harvester installation and Be Green interactive displays.

Charith AbhayaratneView profile

Senior Lecturer

• Signal Processing
• Machine Learning
• Multimedia Security
• +7 more

Dr. Charith Abhayaratne is a Senior Lecturer and EEE Foundation Year Tutor at the School of Electrical and Electronic Engineering, University of Sheffield. He leads the Communications Research Group and serves as the accreditation team lead for the school. With qualifications including a PhD from the University of Bath and a B.E. from the University of Adelaide, his research focuses on signal processing, machine learning, multimedia security, and video coding. His work explores blockchain for content protection, visual salience in robotics, human activity recognition, and advanced video coding techniques (HDR, UHD, 360° video). His research has been funded by Innovate UK, EPSRC, and industry partners. Education: B.E. (Electrical and Electronic Engineering), The University of Adelaide, Australia (1998) PhD (Electronic and Electrical Engineering), University of Bath, UK (2002) PGCertHE (Higher Education), University of Sheffield (2008) Fellow of the Higher Education Academy (FHEA), Member of the Institution of Engineering and Technology (MIET), Member of IEEE (MIEEE) Research Interests: His work spans multimedia security (data hiding, blockchain), computer vision (visual salience, object recognition), and video coding (HDR/UHD). Current projects include robotic vision applications, assisted living through activity recognition, and international standards development (JPEG/MPEG). He has contributed to scalable video standards and serves on technical committees for IEEE, EURASIP, and APSIPA. Awards & Service: Recipient of the Alain Bensoussan Fellowship (ERCIM, 2002) Associate Editor for IEEE Transactions on Image Processing, IEEE Access, and Elsevier JISA Member of EPSRC Peer Review College and British Standards Institution (BSI) Grants & Labs: Active grants from Innovate UK and EPSRC support projects in multimedia security and video coding. His lab leads interdisciplinary work in AI-driven visual analytics and secure media distribution frameworks.

• Learning
• Cognition
• Cognitive Load Theory
• +4 more

Prof. Fred Paas holds dual positions as Full Professor in Educational Sciences at the Erasmus School of Social and Behavioral Sciences (Erasmus University Rotterdam) and Professorial Fellow at the University of Wollongong's School of Education/Early Start. His research focuses on cognitive load theory, physical learning environments, and the interplay between physical activity and cognitive processes. He chairs the Educational and Developmental Psychology research group. Key achievements include recognition as the world’s most productive author in top educational psychology journals (2009-2014) and his role as Editor-in-Chief of Educational Psychology Review . He also serves on editorial boards for journals like Journal of Educational Psychology and is a Fellow of the American Educational Research Association. Research interests span cognitive load management in complex tasks, evolutionary approaches to learning, and the impact of physical environments on cognition. His work emphasizes practical applications, including advising companies like Tinqwise and delivering public lectures. Recent studies explore embodied cognition, the role of physical activity in education, and optimizing instructional design through cognitive load principles. His interdisciplinary approach integrates neuroscience, pedagogy, and technology to enhance learning outcomes.

Andrew Van SchaackView profile

Senior Lecturer

• Technology Forecasting
• Instructional Technology Development
• Generative AI in Education
• +3 more

Dr. Andrew Van Schaack is a Principal Senior Lecturer in the Department of Human and Organizational Development at Vanderbilt University's Peabody College, and also holds an appointment as Associate Professor of the Practice in the School of Engineering. His dual roles reflect expertise in both educational theory and technological innovation. He has over 19 years of experience at Vanderbilt, teaching courses in technology forecasting, organizational psychology, and instructional design. His research focuses on preparing for technological advancements through actionable strategies and developing evidence-based educational technologies. Notable roles include serving as Associate Dean for Online Programs (2017-2019), leading the redesign of Navy instructor training programs, and consulting for the U.S. Navy on resilience training initiatives. Education: Ph.D. in Instructional Technology from Utah State University (2004) Key Research: Technology forecasting methodologies, AI integration in education, accessibility solutions for STEM Awards: Madison Sarratt Teaching Prize, Fulbright Scholarship, multiple honorary military roles He has advised over 100 undergraduate research projects and holds 12 patents related to smartpen technologies. His work bridges academia and industry through collaborations like the OpenCourseWare support project with MIT and NSF-funded initiatives improving STEM accessibility for visually impaired students.

Carlee ArnettView profile

Professor

• Germanic Linguistics
• Cognitive Grammar
• Second Language Acquisition
• +3 more

Carlee Arnett is a Professor of German and Director of the UC Davis Language Center at the University of California, Davis. She holds a Ph.D. from the University of Michigan (1995), an M.A. from UC Berkeley (1991), and a B.A. from Mount Holyoke College (1987). Her research focuses on applying Cognitive Grammar (CG) to German and Russian language pedagogy, combining schematic diagrams and student-centered learning to teach grammar effectively. She also explores syntactic structures in Modern German and Old Saxon, with particular interest in oblique subject constructions and medieval agricultural practices. Her work integrates Sociocultural Theory with CG to design immersive language-learning environments, emphasizing collaborative activities and multimedia tools like animations. She has contributed to CALL (Computer Assisted Language Learning) through game-based approaches and published extensively on medieval Icelandic literature and Old Saxon syntax. As DLC Director, she oversees language education innovation at UC Davis. Teaching experience includes roles at Ohio State University (1997-1998) and the University of Arizona (1998-2000), where she also directed basic language programs. Her courses span Germanic mythology, medieval literature, and modern language pedagogy.

Jingjing MengView profile

Researcher

• Multimedia
• Computer Vision
• Machine Learning
• +3 more

Jingjing Meng is a Senior Scientist affiliated with the Computer Science and Engineering Department at the University at Buffalo, SUNY, and Amazon. She holds a Ph.D. from Nanyang Technological University (NTU, Singapore), advised by Prof. Yap-Peng Tan, along with an M.S. from Vanderbilt University and a B.E. from Huazhong University of Science & Technology, China. Her research focuses on multimedia, large multimodal models, product recommendation/search, and computer vision applications. Notable contributions include work on surgical triplet recognition, 3D object representation, and video summarization. She has received the 2016 IEEE Transactions on Multimedia Best Paper Award. Service Roles: Technical Program Co-Chair (ICME 2024), Tutorial Co-Chair (ACM MM 2024), Area Chair (AAAI 2021-2025), and Associate Editor for IEEE TMM, Signal Processing: Image Communication, and others. Leadership: Member of IEEE IVMSP TC, VSPC TC, and MSA TC committees, and a Senior Member of IEEE. Teaching includes courses like Multimedia Systems (CSE 534), Computer Graphics (CSE 410/580), and Discrete Structures (CSE 191). Her work bridges theoretical advancements and practical applications in multimedia and AI.

Abhigyan SinghView profile

Assistant Professor

• Design Anthropology for Social Change
• Energy and Climate Transitions
• Non-Market Value Exchanges
• +5 more

Abhigyan Singh is an Assistant Professor of Design Anthropology for Social Change at TU Delft's Faculty of Industrial Design Engineering and a Research Fellow at the Amsterdam Institute for Advanced Metropolitan Solutions (AMS Institute). He holds a PhD from TU Delft, a Master’s from Aalto University, and a Bachelor’s from DA-IICT. His research focuses on energy transitions, fairness in climate governance, and decolonizing design practices. He co-led the International Energy Agency's GOP2P initiative and serves on TU Delft’s Climate Governance Flagship committee. His academic journey includes postdoctoral work at Erasmus University and guest research roles at TU Delft’s EEMCS faculty. Notable awards include the WWNA Apply Award (2021) and recognition at the Shanghai World Expo 2010. His work bridges anthropology, design, and technology to address systemic inequities in energy systems and urban futures. Recent projects include conceptualizing inter-household energy exchanges in India and the Netherlands, developing participatory frameworks for energy communities, and advocating for inclusive climate policies. Media contributions highlight his engagement with marginalized voices in energy transitions and innovative educational tools like The Illuminator DIY kit.

Tao GuView profile

Professor

• Internet of Things
• Ubiquitous Computing
• Mobile Computing
• +3 more

Prof. Tao Gu is a Professor at the Department of Computing, Macquarie University, Sydney. He holds affiliations with the Future Communications Research Centre, Hearing Research Centre, and Smart Green Cities Research Centre. His research focuses on IoT, Ubiquitous Computing, Mobile Computing, Embedded AI, Wireless Sensor Networks, and Big Data Analytics. He earned his Ph.D. in Computer Science from the National University of Singapore (2006), M.Sc. in Electrical and Electronic Engineering from Nanyang Technological University, and B.Eng. in Automatic Control from Huazhong University of Science and Technology. Education: PhD (NUS), MSc (NTU), B.Eng (HUST) Affiliations: School of Computing, Macquarie University Research Themes: IoT, Embedded AI, Wireless Communication His research emphasizes innovative sensing and connectivity solutions. Notable projects include LoRa network optimization, mobile deep learning frameworks (MDLdroid), and acoustic-based health monitoring systems. He has received awards such as the IEEE SMARTCOMP 2016 Best Paper Award and the Ten Years CoMoRea Impact Paper Award at PerCom 2013. Current work explores secure device pairing, energy-efficient LoRa protocols, and multi-modal sensing using WiFi/RF signals. His lab develops systems like AudioGuard for intrusion detection and AIMSafe for driver behavior analysis. Ongoing projects address data-driven economies, hearing healthcare analytics, and non-intrusive human activity sensing.

• Augmented Reality
• Virtual Reality
• Human-Computer Interaction
• +3 more

Wolfgang Hürst is an Associate Professor at Utrecht University's Department of Information and Computing Sciences, where he also serves as program leader for the MSc in Game & Media Technology. Previously, he was Education Director of the department from 2020-2024. His research focuses on immersive technologies including augmented/virtual reality, human-computer interaction, and multimedia systems, with applications in gaming, healthcare, and neuroscience. Education includes: PhD in Computer Science from University of Freiburg, Germany Master's in Computer Science from University of Karlsruhe/KIT Visiting researcher at Carnegie Mellon University (1996-1997) Postdoctoral work at University of Freiburg (2005-2007) Research interests span virtual/augmented reality systems, mobile interaction design, multimedia methods, and gaming technology. His work explores how immersive technologies can enhance human perception, information visualization, and accessibility in domains ranging from neuroscience research to cultural heritage preservation. Publications demonstrate strong focus on AR/VR interface innovation, particularly in 360° video interaction, lifelog visualization, and neuroscience applications. Recent work emphasizes ethical AI integration in extended reality and inclusive design for diverse user populations. Research consistently combines technical development with rigorous human-centered evaluation methodologies. Scientific awards: No major awards reported in provided materials. Research involves collaborations through the Game Research group and Applied Data Science initiatives. Current projects include immersive literature exploration tools for neuroscientists and accessible VR museum experiences. Extramural funding sources not detailed in available documentation.

Abigale StanglView profile

Assistant Professor

• Inclusive Design
• Accessibility
• Human-Centered Design
• +5 more

Dr. Abigale Stangl is an Assistant Professor in the School of Industrial Design at the Georgia Institute of Technology . Her research focuses on inclusive design practices , accessibility , and sensory AI , prioritizing disability-first innovation . She explores tactile media, multimodal systems, and human-centered design principles to enhance accessibility for individuals with disabilities, particularly those who are blind or visually impaired. Her research interests include: Development of tactile interfaces and eyes-free interaction techniques Visual privacy management for blind users Collaborative design processes with disabled communities Ethical AI integration in assistive technologies Her work spans diverse domains such as: Video/audio accessibility solutions Children’s crossmodal learning through play Disability advocacy in workplace innovation Private content detection in visual assistance tools Though no specific grants or awards are listed, her projects emphasize interdisciplinary collaboration and real-world impact.

Haibo LiView profile

Professor

• Media Technology
• Digital Signal Processing
• Image and Video Compression
• +5 more

Haibo Li is a Full Professor of Media Technology at KTH Royal Institute of Technology, affiliated with the School of Electrical Engineering and Computer Science and Digital Futures Faculty. His roles include leading the Media Lab in MID, directing Master’s programs in Media Technology, and teaching courses like Generative AI for Media Technology and Video Technology. He holds a Technical Doctorate from Linköping University (1993) and received the Nordic Best PhD Thesis Award (1994) and Docent title in Image Coding (1997). Research focuses on digital media technologies, including image/video compression, human-computer interaction, and AI-driven media systems. He pioneered the Digital Media Lab at Umeå University and co-founded UCIT. His work spans blind image deblurring, thermal comfort sensing, and multimodal emotion recognition. Over 250 publications and six patents highlight contributions to multimedia, AI, and signal processing. Key projects include developing contactless thermal measurement systems for smart buildings, real-time gesture recognition for wearable devices, and advanced neural networks for image restoration. Awards include the Nordic Best Thesis and leadership in EU projects. He chairs conferences and actively participates in MPEG standardization efforts.

• Science Education
• Teacher Professional Learning
• Faculty Mentoring
• +5 more

Dr. Jerine Pegg is a Professor of Science Education and Co-director of the Centre for Mathematics, Science, and Technology Education (CMASTE) at the University of Alberta's Faculty of Education. She holds a PhD, MAT, and BS, and has served as Department Chair and Associate Chair in the Department of Elementary Education. Her research focuses on science education, teacher professional learning, faculty mentoring, and partnership development through social network theory and communities of practice. Dr. Pegg has received awards for her innovative use of technology in education and distinguished service to Alberta’s education community. She teaches undergraduate and graduate courses including Curriculum and Pedagogy in Elementary School Science , Conference Seminar , and Special Topics in Educational Theory and Practice . Her service roles include membership on the Alberta Education Science Curriculum Working Group and General Faculties Council at the University of Alberta. Dr. Pegg collaborates internationally, contributing to education initiatives in Oman and Rwanda. Her scholarship emphasizes interdisciplinary collaboration, with notable publications on online teacher development, mentoring communities, and science curriculum design. Key projects include the Science Curriculum Wayfinder and SaLLIE Project websites supporting Alberta’s science education reforms.

• Teaching Chinese as a Second Language
• Language Teaching Materials Development
• Online Language Education
• +2 more

Chao Li is a Lecturer of Chinese at the Georgia Institute of Technology's School of Modern Languages, part of the Ivan Allen College of Liberal Arts. He has been with Georgia Tech since 2001, focusing on teaching Chinese language at all proficiency levels and co-directing the Chinese Language for Business and Technology (LBAT) Program since 2006. His expertise includes developing online Chinese language courses, creating multimedia content, and compiling grammatical notes for effective language learning materials. Chao Li holds a Master of Arts in International Relations from Beijing Institute of Foreign Affairs and a Bachelor of Arts in Economics and Chinese from Yunnan University, China. He is a key figure in advancing online Chinese language education at Georgia Tech, emphasizing the integration of technology into language pedagogy. His work bridges language instruction with business and technology contexts, reflecting his commitment to practical, industry-relevant language training. His professional contributions include pioneering efforts in online course development, particularly in designing interactive and adaptive learning environments. While no formal awards are listed, his role in shaping Georgia Tech's Chinese language program highlights his significant impact on language education innovation. Chao Li’s teaching philosophy centers on student engagement through culturally immersive and technologically enhanced methodologies.

Pat HealeyView profile

Professor

• Human-Computer Interaction
• Communication Technologies
• Social Computing
• +4 more

Professor Pat Healey is a prominent academic in Human Interaction and Communication Technologies, holding a professorship at Queen Mary University of London's School of Electronic Engineering and Computer Science. He leads the Centre for Human-Centred Computing, focusing on how digital technologies transform human communication. His research integrates psychological theories with computational models to understand interaction dynamics in diverse contexts, including healthcare, robotics, and creative collaboration. He teaches modules such as Design for Human Interaction and Creative Group Project , emphasizing practical application of communication theories. His work spans theoretical studies (e.g., repair phenomena in dialogue) to applied projects (e.g., smart wearable sensors for social behavior analysis). Key grants include studies on mental health communication, internet standards, and human-robot interaction. Recent publications highlight his focus on organizational communication, gesture analysis, and AI-driven recommendation systems. He collaborates internationally, addressing challenges in healthcare delivery, computational linguistics, and social robotics. His research bridges cognitive science, computer science, and design to create technologies that align with human social and cognitive needs.