Affiliations: Carnegie Mellon University, Princeton University, Rutgers University

Dr. A. D. (Andy) Gunawardena served as a faculty member in the department of Computer Science at Princeton University. He also served as an Associate Teaching Professor of Computer Science at Carnegie Mellon University from 1998-2013 and is now a courtesy faculty at CMU. He is a long time advocate of technology in education and the application of the principles of learning sciences to teaching and learning. He is the co-author of three college textbooks in computational linear algebra published by Springer-Verlag and Thompson Brooks-Cole and is the author and co-author of over 45 research articles. His textbooks have been translated into other languages. He is the co-founder of Classroom Salon, a platform to increase student engagement through annotations and analytics. Classroom Salon was acquired by GTII in 2022. He has received over US$ 3 million in funding from NSF, Qatar Foundation, Hewlett Packard, Microsoft, Google and many other foundations. His many honors include: leadership in technology award from HP, service award from Jesse Jones institute, ACM appreciation award from ACM Houston chapter, and Exceptional achievement award (highest honor given to Sri Lankan expatriate) from Sri Lanka foundation. He was also a founding fellow of HP Catalyst Institute in 2010. From 2010-2013, he co-led the HP's measuring learning consortium, a multi-million dollar effort to introduce data driven learning. He is the principle inventor of US Patent 10,061,756 sponsored by Carnegie Mellon University and is the principle inventor of Princeton University based patents machine assisted segmentation of video collections(US Patents # 10810436 #11126858 ). He is a co-founder of CUbits.ai a Princeton University based startup aiming to provide indexing and search capabilities for large video collections. He is currently the stream editor for learning analytics at the International Journal of innovation in online education. He typically teaches courses in data science, computer algorithms, discrete structures, systems programming, and pen-based computing. His research interests include in AI in education/training and Human Computer Interaction for building human-centric intefaces.