Dr. Etemad is an Assistant Professor, as well as a Mitchell Professor in AI for Human Sensing & Understanding at the Department of Electrical and Computer Engineering, Queen’s University, Canada, where he leads the Ambient Intelligence and Interactive Machines (Aiim) lab. He is also a faculty member at Ingenuity Labs Research Institute. He received his M.A.Sc. and Ph.D. degrees in Electrical and Computer Engineering from Carleton University, Ottawa, Canada, in 2009 and 2014, respectively. His main area of research is machine learning and deep learning focused on human-centered applications with wearables, smart devices, and smart environments. Prior to joining Queen’s, he held several industrial positions as lead scientist. He has co-authored articles in venues such as CVPR, AAAI, ACM CHI, T-AFFC, T-IP, T-HMS, T-IFS, T-BIOM, IEEE T-GRS, IEEE IoT J., IEEE Sens. J., Neurocomputing, ICASSP, ICPR, ACII, Interspeech, and others, and is a co-inventor of several patents. He has been a Senior PC for ACII, a PC for IEEE BSN, IEEE AIVR, and ACM SAP, among others, and an active reviewer for NeurIPS, T-AFFC, T-HMS, T-KDD, T-AI, T-NSRE, JBHI, Neural. Comput. Appl., CVIU, Appl. Intell., ICASSP, Interspeech, SMC, and ACM CHI. He has received a number of awards including Supervisor of the Year Award, Instructor of the Year Award, and Best Paper Awards at conferences such as CGI, among others. Dr. Etemad’s lab and research program have been funded by the Natural Sciences and Engineering Research Council (NSERC) of Canada, Ontario Centers of Excellence (OCE), Canadian Foundation for Innovation (CFI), Mitacs, and other organizations, as well as the private sector.