Artificial Intelligence Researcher
Ottawa IC Lab
Huawei Technologies Canada Co., Ltd
Edmonton, Alberta, Canada
e-mail: hassanpo AT ualberta.ca
[Curriculum Vitae]
Currently, I am an AI Researcher at Ottawa IC Lab at Huawei Technologies Canada,
where I work on Neural Architecture Search.
The primary focus of my PhD research was on Counterfactual Regression and Causal Inference;
I worked under supervision of Prof. Russell Greiner.
| 9/2015 - 9/2022 | Department of Computing Science, University of Alberta, Canada; Doctor of Philosophy |
| 9/2012 - 8/2015 | Department of Computer Science, University of Northern British Columbia, Canada; Master of Science |
| 9/2007 - 7/2012 | Department of Electrical and Computer Engineering, University of Tehran, Iran; Bachelor of Engineering |
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Hassanpour, N.; Greiner, R.; ,
Learning Disentangled Representations for CounterFactual Regression.
International Conference on Learning Representations (ICLR), April 27-30, 2020.
[link] |
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Hassanpour, N.; Greiner, R.; ,
CounterFactual Regression with Importance Sampling Weights.
The 28th International Joint Conference on Artificial Intelligence (IJCAI), August 10-16, 2019, Macao, China.
[link] |
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Hassanpour, N.; ,
Counterfactual Reasoning in Observational Studies.
The 24th AAAI/SIGAI Doctoral Consortium, January 27 - February 1, 2019, Honolulu, Hawaii, USA.
[link] |
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Hassanpour, N.; Greiner, R.; ,
A Novel Evaluation Methodology for Assessing Off-Policy Learning Methods in Contextual Bandits,
The 31st Canadian Conference on Artificial Intelligence, May 8-11, 2018, Toronto, Canada, pp. 31-44.
[link] |
| Chen, L.; Hassanpour, N.; , Survey: How good are the current advances in image set based face identification?–Experiments on three popular benchmarks with a naïve approach, Journal of Computer Vision and Image Understanding, Volume 160, July 2017, pp. 1-23. |
| Hassanpour, N.; Chen, L.; , A Quantum Probability Inspired Framework for Image-Set Based Face Identification, The 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG), May 30-June 3, 2017, Washington DC, USA, pp. 551-557. |
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Hassanpour, N.; Chen, L.; ,
A Hierarchical Training and Identification Method using Gaussian Process Models for Face Recognition in Videos,
The 11th IEEE International Conference on Automatic Face & Gesture Recognition (FG), May 4-8, 2015, Ljubljana, Slovenia.
[pdf] |
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Haigh, C.; Zhang, Z.; Hassanpour, N.; Javed, K.; Fu, Y.; Shahramian, S.; Zhang, S.; Luo, J.; ,
Drawing Inductor Layout with a Reinforcement Learning Agent: Method and Application for VCO Inductors.
arXiv preprint arXiv:2202.11798, 2022.
[link] |
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Hassanpour, N.; Greiner, R.; ,
Variational Auto-Encoder Architectures that Excel at Causal Inference.
NeurIPS Workshop on Causal Discovery & Causality-Inspired Machine Learning, December 11, 2020.
[link] |
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Zhang, Z.; Lan, Q.; Ding, L.; Wang, Y.; Hassanpour, N.; Greiner, R.; ,
Reducing Selection Bias in Counterfactual Reasoning for Individual Treatment Effects Estimation.
NeurIPS Workshop “Do the Right Thing”: Machine Learning and Causal Inference for Improved Decision Making, December 14, 2019, Vancouver, Canada.
[link] |
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Wen, J.; Hassanpour, N.; Greiner, R.; ,
Weighted Gaussian Process for Estimating Treatment Effect,
NIPS Workshop: What If? Inference and Learning of Hypothetical and Counterfactual Interventions in Complex Systems, December 10th, 2016, Barcelona, Spain.
[link] |
| 2022 | Nominated for best PhD dissertation, Department of Computing Science, University of Alberta |
| 2016 - 2019 | Natural Sciences and Engineering Research Council of Canada - Postgraduate Scholarships Doctoral Program (NSERC-PGSD) |
| 2016 - 2019 | University of Alberta President's Doctoral Prize of Distinction |
| 2016 | Governor General’s Academic Gold Medal [link] |
| 2015 | University of Alberta PhD Recruitment Award |
| 2014 | University of Northern British Columbia Graduate Scholarship |
| Reviewer | FG 2015; NeurIPS 2016, 2020, 2022; ICLR 2020, 2021, 2022; JMLR; TMLR |
| Assisting Reviewer | NeurIPS 2018, 2019; AAAI 2018, 2023 |
| 2016 Fall | Introduction to Deep Learning (audit), University of Alberta, by Prof. Dale Schuurmans. | 2016 Spring | Probabilistic Graphical Models (A+), University of Alberta, by Prof. Russell Greiner. |
| 2015 Fall | Reinforcement Learning (A+), University of Alberta, by Prof. Richard Sutton. |
| 2014 Fall | Theory of Computation (A+), University of Northern British Columbia, by Prof. Liang Chen. |
| 2013 Spring | Machine Learning (A+), University of British Columbia, by Prof. Nando de Freitas. |