Ryan Baker is a Professor at the University of Pennsylvania, and Director of the Penn Center for Learning Analytics. His lab conducts research on engagement and robust learning within online and blended learning, seeking to find actionable indicators that can be used today but which predict future student outcomes. Baker has developed models that can automatically detect student engagement in over a dozen online learning environments, and has led the development of an observational protocol and app for field observation of student engagement that has been used by over 150 researchers in 7 countries. Predictive analytics models he helped develop have been used to benefit over a million students, over a hundred thousand people have taken MOOCs he ran, and he has coordinated longitudinal studies that spanned over a decade. He was the founding president of the International Educational Data Mining Society, is currently serving as Editor of the journal Computer-Based Learning in Context, is Associate Editor of the Journal of Educational Data Mining, was the first technical director of the Pittsburgh Science of Learning Center DataShop, and currently serves as Co-Director of the MOOC Replication Framework (MORF). Baker has co-authored published papers with over 300 colleagues.
Crick is Professor of Digital &
Policy and Deputy Pro-Vice
Chancellor (Civic Mission) at
Swansea University. He holds a joint
research and innovation appointment
split between the Department of
Education & Childhood Studies
(Faculty of Humanities & Social
Sciences), and the £32m
Computational Foundry (Department of
Computer Science, Faculty of Science
& Engineering). Whilst his
disciplinary background is in
computer science, his academic
interests sit at the research/public
policy interface with a focus on
broad societal/policy impact:
STEM/digital education, curriculum
reform, science and innovation
policy, data science, intelligent
systems, smart cities, national
skills/infrastructure for the
digital/data economy. As
underpinning themes, his broader
research interests also include
levers for government innovation,
digital public services, new
economic models for the digital
economy, digital democracy, and
Tom also has extensive independent expert advisory, non-executive governance and assurance experience, across the public and private sectors, including Welsh and UK Government roles (see below).
He is Editor-in-Chief of The Computer Journal (2021-present), one of the longest-established journals (since 1958) serving all branches of the academic computer science community, published by Oxford University Press. Tom is also an Editor of the Wales Journal of Education/Cylchgrawn Addysg Cymru (2020-present), a bilingual platinum open access journal published by the University of Wales Press.
Tom was appointed MBE in the 2017 Queen’s Birthday Honours for “services to computer science and the promotion of computer science education”. In 2020, he was made a Fellow of the Learned Society of Wales, the national academy for science and the arts. He is also a Chartered Fellow of the BCS and the IET, and a Distinguished Speaker and Senior Member of the ACM.
Prof. Yudong Zhang worked as a postdoc from 2010 to 2012 with Columbia University, USA, and as an Assistant Research Scientist from 2012 to 2013 with the Research Foundation of Mental Hygiene (RFMH), USA. He served as a Full Professor from 2013 to 2017 with Nanjing Normal University. Now he serves as a professor at the School of Computing and Mathematical Sciences, University of Leicester, UK. His research interests include deep learning and medical image analysis. He is the Fellow of IET, Fellow of EAI, and Fellow of BCS. He is the Senior Member of IEEE, IES, and ACM. He is the Distinguished Speaker of ACM. He was included in Most Cited Chinese Researchers (Computer Science) by Elsevier from 2014 to 2018. He was the 2019 & 2021 recipient of Highly Cited Researcher by Clarivate. He won the Emerald Citation of Excellence 2017 and MDPI Top 10 Most Cited Papers 2015. He is included in Top Scientist in Research.com. He has (co)authored over 400 peer-reviewed articles in the journals JAMA Psychiatry, Inf Fus, IEEE TFS, IEEE TII, IEEE TIP, IEEE TMI, IEEE IoTJ, Neural Networks, IEEE TITS, Pattern Recognition, IEEE TGRS, IEEE JBHI, IEEE TCSVT, IEEE TETCI, IEEE TCSS, IEEE JSTARS, IEEE TNSRE, IEEE Sensors J, ACM TKDD, ACM TOMM, IEEE/ACM TCBB, IEEE TCAS-II, IEEE JTEHM, ACM TMIS, etc. There are more than 50 ESI Highly Cited Papers and 5 ESI Hot Papers in his (co)authored publications.