Hossein Hajimirsadeghi

Principal Machine Learning Researcher at Borealis AI


I received my PhD in computer science under supervision of Prof. Greg Mori. Currently, I am a Principal Machine Learning Researcher at Borealis AI, Vancouver. Prior to that I was a Principal Member of Technical Staff at Oracle Labs, Vancouver.

Ph.D. in Computer Science, Simon Fraser University, Canada, 2015.
M.Sc. in Electrical Engineering, University of Tehran, Tehran, Iran, 2010.
B.Sc. in Electrical Engineering, University of Tehran, Tehran, Iran, 2008.


Email: first-name DOT last-name AT gmail DOT com
hossein hajimirsadeghi

[LinkedIn] [Google Scholar] [Resume]

Research Interests

  • Machine Learning
  • Computer Vision
  • Computational Perception and Action
  • Evolutionary Optimization
  • Bioinspired Comptuing
  • Multi-Agent Systems

Publications

Y. Gong, H. Hajimirsadeghi, J. He, T. Durand, and G. Mori, "Variational Selective Autoencoder: Learning from Partially-Observed Heterogeneous Data", AISTATS, 2021.
H. Hajimirsadeghi, G.T. Zhou, A. Brownsword, N. Agarwal, P. Chandrashekar, K. Rashedi Nia, "Context-aware feature embedding and anomaly detection of sequential log data using deep recurrent neural networks", U.S. Patent Application No. 16/122,505, 2020. [here]
G.T. Zhou, H. Hajimirsadeghi, A. Brownsword, S. Wray, C. Schelp, R. Reddekopp, F. Schmidt, "Malicious activity detection by cross-trace analysis and deep learning", U.S. Patent Application No. 16/122,398, 2020. [here]
L. Chen, J. Chen, H. Hajimirsadeghi, and G. Mori, "Adapting Grad-CAM for Embedding Networks", Winter Conference on Applications of Computer Vision (WACV), 2020. [pdf]
S. Su, H. Hajimirsadeghi, and G. Mori, "Graph Generation with Variational Recurrent Neural Network", NeurIPS 2019 Graph Representation Learning Workshop, 2019. [pdf]
Y. Gong, H. Hajimirsadeghi, J. He, M. Nawhal, T. Durand, and G. Mori, "Variational Selective Autoencoder", 2nd Symposium on Advances in Approximate Bayesian Inference, 2019. [pdf]
H. Hajimirsadeghi and G. Mori, "Multi-Instance Classification by Max-Margin Training of Cardinality-Based Markov Networks", IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2017. [pdf]
H. Hajimirsadeghi and G. Mori, "Joint Kernel Learning and Multi-Instance Classification", 2016. [pdf]
H. Hajimirsadeghi, "Multiple instance learning for visual recognition: Learning latent probabilistic models", Ph.D. Thesis, Simon Fraser University, 2015. [pdf]
H. Hajimirsadeghi and G. Mori, "Learning Ensembles of Potential Functions for Structured Prediction with Latent Variables", IEEE International Conference on Computer Vision (ICCV), Dec. 2015. [pdf] [supplementary]
H. Hajimirsadeghi, W. Yan, A. Vahdat, and G. Mori, "Visual Recognition by Counting Instances: A Multi-Instance Cardinality Potential Kernel", Proc. IEEE Computer Vision and Pattern Recognition (CVPR), pp. 2596-2605, June 2015. [pdf] [supplementary]
M. Khodabandeh, A. Vahdat, G.-T. Zhou, H. Hajimirsadeghi, M. Roshtkhari, G. Mori, and S. Se, "Discovering Human Interactions in Videos with Limited Data Labeling", Workshop on Group and Crowd Behavior Analysis and Understanding (at CVPR), June 2015. [pdf]
A. Madooei, M. S. Drew, and H. Hajimirsadeghi, "Learning to Detect Blue-white Structures in Dermoscopy Images with Weak Supervision", arXiv preprint arXiv:1506.09179. To appear in IEEE Journal of Biomedical and Health Informatics. [pdf]
J. Li, H. Hajimirsadeghi, M. Zaki, G. Mori, and T. Sayed, "Computer Vision Techniques to Collect Helmet-Wearing Data on Cyclists", Journal of the Transportation Research Board, vol. 2468, 2014. [pdf]
J. Li, H. Hajimirsadeghi, M. Zaki, G. Mori, and T. Sayed, "Cyclist's Helmet Recognition Using Computer Vision Techniques", Proc. 93rd Transportation Research Board (TRB) Annual Meeting, Washington DC, January 2014. [pdf]
H. Hajimirsadeghi, J. Li, G. Mori, M. Zaki, and T. Sayed, "Multiple Instance Learning by Discriminative Training of Markov Networks", Proc. 29th Conference on Uncertainty in Artificial Intelligence (UAI), pp. 262-271, July 2013. [pdf]
Sangmin Oh, Scott McCloskey, Ilseo Kim, Arash Vahdat, Kevin Cannons, Hossein Hajimirsadeghi, Greg Mori, Amitha A.G. Perera, Megha Pandey, and Jason Corso, "Multimedia Event Detection with Multimodal Feature Fusion and Temporal Concept Localization", Machine Vision and Applications (MVA), vol. 25, no. 1, pp. 49-69, 2014. [pdf]
H. Hajimirsadeghi, M. Nili Ahmadabadi, and B. Nadjar Araabi, "Conceptual imitation Learning based on perceptual and functional characteristics of action", IEEE Transactions on Autonomous Mental Development, vol.5, no.4, pp. 311-325, 2013. [pdf]
S. Oh et al., "TRECVID 2012 GENIE: Multimedia Event Detection and Recounting", NIST TRECVID Workshop, 2013. [pdf]
H. Hajimirsadeghi and G. Mori, "Multiple Instance Real Boosting with Aggregation Functions", IAPR International Conference on Pattern Recognition, ICPR 2012, Japan, pp. 2706-2710, Nov. 2012. [pdf] [slides]
A. Perera et al., "TRECVID 2012 GENIE: Multimedia Event Detection and Recounting", NIST TRECVID Workshop, 2012. [pdf]
H. Hajimirsadeghi, M. Nili Ahmadabadi, B. Nadjar Araabi, H. Moradi, "Conceptual imitation learning in a human-robot interaction paradigm", ACM Transactions on Intelligent Systems and Technology, vol. 3, no. 2, 2012. [pdf]
A. Nikoofard, H. Hajimirsadeghi, A. Rahimi-Kian, C. Lucas, "Multi-objective Invasive Weed Optimization: Application to Analysis of Pareto Improvement Models in Electricity Markets", Applied Soft Computing, vol. 12, no. 1, pp. 100-112, 2012. [pdf]
H. Hajimirsadeghi, "Conceptual Imitation Learning based on functional effects of action", Proc. EUROCON 2011, Lisbon, Portugal, April 2011. (Selected as one of the five best papers in IEEE R8 Student Paper Contest 2011) [pdf] [slides]
H. Hajimirsadeghi, M. Nili Ahmadabadi, M. Ajallooeian, B. Nadjar Araabi, H. Moradi, "Conceptual Imitation Learning: Application to Human-Robot Interaction". Journal of Machine Learning Research: Workshop and Conference Proceedings, vol. 13, pp. 341-356, ACML2010, Tokyo, Japan, Nov. 2010. [pdf] [slides]
M. Ramezani Ghalenoei, H. Hajimirsadeghi, C. Lucas, "Discrete invasive weed optimization algorithm: Application to cooperative multiple task assignment of UAVs", Proc. 48th IEEE Conference on Decision and Control, Shanghai, China, pp. 1665-1670, Dec. 2009. [pdf]
H. Hajimirsadeghi, A. Ghazanfari, A. Rahimi-Kian, C. Lucas, "Cooperative coevolutionary invasive weed optimization and its application to Nash equilibrium search", Proc. World Congress on Nature and Biologically Inspired Computing, Coimbatore, India, pp. 1532-1535, Dec. 2009. [pdf] [poster]
H. Hajimirsadeghi, C. Lucas, "A hybrid IWO/PSO algorithm for fast and global optimization", Proc. EUROCON 2009, St. Petersburg, RUSSIA, pp. 1964-1971, May 2009. (Selected as one of the five best papers in IEEE R8 student paper contest 2009) [pdf] [slides]
S. Sodagari, H. Hajimirsadeghi, A. Nasiri Avanaki, "Automatic artifact identification in image communication using watermarking and classification algorithms", Proc. International Symposium on Telecommunications (IST08), Tehran, Iran, pp. 725-730, Aug. 2008. [pdf] [slides]
H. Hajimirsadegh, M. Nabaee, B. Nadjar Araabi, "Ant colony optimization with a genetic restart approach toward global optimization", Advances in Computer Science and Engineering, Springer Berlin Heidelberg, vol. 6, pp. 9-16, 2008. [pdf] [slides]

Honors and Awards


Simon Fraser University:
  • Simon Fraser University Graduate Fellowship, 2013
  • Ebco/Eppich Graduate Scholarships in Intelligent Systems, 2012

IEEE Region 8:

University of Tehran:
  • 3rd place among all Masters students of Electrical Engineering in the 70th graduation anniversary of University of Tehran, 2010
  • 1st and 2nd place in the local student paper contest among ECE graduate students at University of Tehran, 2010
  • 2nd place in the local student paper contest among ECE graduate students at University of Tehran, 2009
  • 3rd place in the local student paper contest among ECE undergraduate and graduate students at University of Tehran, 2008

Selected Technical Reports

H. Hajimirsadeghi, "Conceptual imitation Learning based on perceptual and functional characteristics of action", M.Sc. thesis, School of Electrical and Computer Engineering, Faculty of Engineering, University of Tehran, Tehran, Iran, September 2010. [slides]
H. Hajimirsadeghi, "Nash Equilibrium Search for Nonlinear Games Using Evolutionary Algorithms", B.Sc. project, School of Electrical and Computer Engineering, Faculty of Engineering, University of Tehran, Tehran, Iran, July 2008. [pdf]
H. Hajimirsadeghi and M. Nili Ahmadabadi, "Hierarchical Multi-Agent Reinforcement Learning for Dynamic Coverage Control", Final project for "Machine Learning" course, School of Electrical and Computer Engineering, University of Tehran, Fall 2008. [pdf]
H. Hajimirsadeghi and C. Lucas, "Extended TOPSIS for Multi-Criteria Group Decision Making with Linguistic Quantification and Concept of Majority Opinion", Final project for "Fuzzy Systems" course, School of Electrical and Computer Engineering, University of Tehran, Spring 2009. [pdf]
H. Hajimirsadeghi, "Cooperative State Estimation for Mobile Sensors with Optimal Path Planning", Final project for "Optimal Control" course, School of Electrical and Computer Engineering, University of Tehran, Fall 2008. [pdf]
H. Hajimirsadeghi, A. Rahimi-Kian, and C. Lucas, "Discrete Invasive Weed Optimization for Nash Equilibrium Search in Nonlinear Games", Final project for "Social, Cognitive, and Behavioural Systems" course, School of Electrical and Computer Engineering, University of Tehran, Spring 2009. [pdf]
H. Hajimirsadeghi, "A Short Survey on Time Series Feature Extraction", Final project for "Digital Signal Processing" course, School of Electrical and Computer Engineering, University of Tehran, Spring 2008.
H. Hajimirsadeghi, "Ant Algorithms Unification and Improvement", Unpublished, 2007. [pdf]