Postdoctoral Fellow in Computer Science and Software Engineering Department
Laval University, Québec, Québec, Canada
PhD in Computer Science, Laval University, Québec, Québec, Canada
MMath in Computer Science, University of Waterloo, Waterloo, Ontario, Canada
BSc in Computer Science, University of Kerman, Kerman, Kerman, Iran
Contact: [my First Name As Appear Above][dot][my Last Name][dot][at sign][dot][ulaval][dot][ca]
I am interested in reasoning under uncertainty models such as POMDPs (Partially Observable Markov Decision Processes), and their applications in Spoken Dialogue Systems for projects such as Robotic Assistant for Persons with Disabilities.
I am also interested in applying artificial intelligence techniques in user-centered information retrieval and question answering. I have applied techniques such as Bayesian Networks and POMDPs to user modeling in web information retrieval as a research project in Topics in Artificial Intelligence Course: Reasoning under Uncertainty (in University of Waterloo).
Hamid R. Chinaei and Brahim Chaib-draa: Learning Dialogue POMDP Model Components from Expert Dialogues: Reward Model Learning. Accepted in International Journal of Speech Technology, 2013.
Hamid R. Chinaei and Brahim Chaib-draa: Learning Dialogue POMDP Model Components from Expert Dialogues: States and Observations. Submitted to International Journal of Speech Technology, 2013.
Hamid R. Chinaei and Brahim Chaib-draa: An Inverse Reinforcement Learning Algorithm for Partially Observable Domains with Application on Healthcare Dialogue Management, In Proceedings of 11th International Conference on Machine Learning and Applications (ICMLA'2012), Boca Raton, Florida, USA, 2012. [Presentation slides (pdf)]
Hamid R. Chinaei, Brahim Chaib-draa, Luc Lamontagne: Learning Observation Models for Dialogue POMDPs, In Proceedings of 25th Canadian Conference on Artificial Intelligence (AI'2012), Toronto, Ontario, Canada, 2012.
Hamid R. Chinaei and Brahim Chaib-draa: Learning Dialogue POMDP Models from Data, In Proceedings of 24th Canadian Conference on Artificial Intelligence (AI'2011), St. John's, Newfoundland and Labrador, Canada, 2011.
Abdeslam Boularias, Hamid R. Chinaei, Brahim Chaib-draa: Learning the Reward Model of Dialogue POMDPs from Data, Presented in the NIPS 2010 workshop of Machine Learning for Assistive Techniques, Vancouver, Canada, December 2010.
Hamid R. Chinaei, Brahim Chaib-draa, Luc Lamontagne: Learning User Intentions in Spoken Dialogue Systems, In Proceedings of 1st International Conference on Agents and Artificial Intelligence (ICAART'09), Porto, Portugal, January 2009 (Best Student Paper Award).
Natural Language Understanding with Gerald Penn in University of Toronto. I learned Zipf's first law, etc.
Machine Learning with Francois Laviolette in Laval University. I learned What Probably Approximately Correct (PAC) learning is, etc.
Introduction to Artificial Intelligence with Pascal Poupart in University of Waterloo. I learned POMDPs, etc.
Computability with Esfandiar Eslami in University of Kerman. I learned Church-Turing thesis, etc.
Calculus with M. Kolooshani in Harati high school, I learned limits at infinity, etc.
Composition with Mahmood Nikbakht in guidance school, I learned short story basics, we went through Old Man at the Bridge by Ernest Hemingway, etc.
I was in collaboration with AT&T research Labs from May 2010 to February 2012
I performed an internship at AT&T research with Jason Williams in May-August 2010
I was in Organizing Committee of Young Researchers' Roundtable on Spoken Dialogue Systems 2011