Azer atakishiyev biography of alberta california

Greg Kondrak Principal Investigator gkondrak at ualberta.

Azer atakishiyev biography of alberta california: Biography. PhD Candidate at the University

Nawshad is currently a PhD student at the Dept. As part of the applied team, Talat help clients reach their goals by helping them incorporate machine learning and leverage its potential to add business value to their organization. He is responsible for the development of strategic and practical applications of AI within the Volkswagen Group, and is currently developing the case for and role of explainable AI XAI in the whole group.

He has also published research papers in machine learning and have patents related to phonetic modelling and compression techniques. He is enthusiastic about finding the right solutions for various business problems and passionate about bringing applications closer to research. Housam is currently a PhD student at the Dept. Firas Lethaus firas.

However, road accidents involving autonomous vehicles have hindered societal acceptance and deployment of this technology on roads. In this sense, I first present a comprehensive overview of explainable artificial intelligence approaches for autonomous vehicles and describe the research gaps in this direction. Computer Science , M.

Currently, I'm an assistant professor in Augustana campus, University of Alberta. Randy Goebel's group since , as a postdoc and research associate. Osmar Zaiane Principal Investigator zaiane at ualberta. Juliano Rabelo Postdoc robelo at ualberta. Firas has a background in machine learning and development of autonomous driving systems in the Volkswagen Group, including in the automated driving division of Audi.

Lethaus Show less This dissertation aims to develop explainable artificial intelligence techniques for autonomous vehicles by approaching the existing issues from three essential aspects: interactivity, robustness analysis, and time granularity of explanations. Autonomous driving, as a rapidly growing field, has received increasing attention from the general society and the automotive industry over the last two decades.

Mi-Young Kim Postdoc miyoung2 at ualberta.

Azer atakishiyev - Azerbaijan | Professional Profile | LinkedIn

My research interests are in natural language processing, machine learning, and text analytics. Finally, I thoroughly investigate safety implications of explainable artificial intelligence in end-to-end autonomous driving via critical case studies and an empirical analysis. Second, I introduce a visual question answering approach to explain autonomous driving actions in an interactive manner.

He has worked on optimization, algorithm complexity, systems biology, and natural language processing, including applications in legal reasoning and medical informatics. Computing Science , and Ph. More information Overall, in pursuit of developing explainable artificial intelligence approaches for autonomous vehicles, this dissertation highlights 1 how to build intelligible and interactive explanations, 2 critical challenges in building trustworthy interactive explanations, and 3 how to leverage explanations in enhancing self-driving safety.

This thesis, or any portion thereof, may not otherwise be copied or reproduced without the written consent of the copyright owner, except to the extent permitted by Canadian copyright law. I have been researching with Prof. Third, I propose a situation awareness framework for autonomous vehicles backed by explanations and human-machine interfaces.

Professor Goebel's theoretical work on abduction, hypothetical reasoning and belief revision is internationally well know, and his recent research is focused on the formalization of visualization and explainable artificial intelligence XAI.