Canadian Indigenous languages are critically endangered. Language revitalization programs, such as the Indigenous Languages Act, need to evolve with technology to halt or reverse the decline of endangered languages. In this talk, novel techniques for developing and utilizing affordable and efficient technologies to aid the revitalization of Indigenous languages are presented. The techniques are based on state-of-the-art artificial intelligence and computer vision advances. The objective of the talk is to initiate interdisciplinary research programs between NSERC - for the technological challenges - and SSHRC - for the linguistics challenges.
 
Guest Speaker Bio:
Sajad Saeedi is an Assistant Professor at Toronto Metropolitan University. He received his PhD in Electrical and Computer Engineering from the University of New Brunswick. He was a Dyson Research Fellow at Imperial College London. He has developed large-scale datasets, benchmarking frameworks, and high-speed/low-power algorithms for computer vision systems. In his collaborations with industry, he has developed several successful products including omnidirectional and stereoscopic vision systems for robotics. He is currently working on semantic perception, bringing deep learning advances to computer vision systems.

WebEx Video link to join us online:
https://mun.webex.com/mun/j.php?MTID=m1f4461ece2487925f0278e3e83a0c5ea