My research spans multiple areas of Artificial Intelligence and Machine Learning including Optimization and Decision Making, Inference and Learning in Graphical Models and Tree Learning for Anomaly Detection or Streaming Domains. I am in the Pattern Analysis and Machine Intelligence group at the University of Waterloo in the Electrical and Computer Engineering Department.
This site is not currently being updated much so please see more recent news on website for the UWECEML lab.
Key Words: machine learning (big data, data analytics), reinforcement learning, causal modelling, Bayesian Networks, inference in probabilistic graphical models, game theory, mechanism design, object oriented software design, logic programming.
Contact
I am always interested in talking to students, other researchers and companies about research opportunities. Feel free to contact me via email or social media. If you are interested in being supervised by me for graduate studies be aware I receive many emails of this kind so I may not always reply. Also, be aware that I am not planning on taking many new students in the next few years, as I have a large group already and have some students committed to accept already. If you apply officially for graduate school in the ECE department, you can list my name as someone you want to work with I will see your application and decide based on quality of applicants, funding and workload.
News
- This site is not updated much anymore, please see My UWaterloo Site for more up to date news about my lab’s research and events.
- January 2018 : My team and collaborators from other research labs successfully demonstrated a Collaborative Self-Driving and Obstacle Avoidance system at the Consumer Electronics Expo in Las Vegas in Co-operation with Denso Inc. Pictures and videos to come soon!
- Nov 2017 : I gave an invited talk on connecting Machine Learning with challenges in Forest Fire Management at the Banff International Research Station workshop on “Forest and Wildland Fire Management: a Risk Management Perspective”.
- See news of presentations being given by members of the lab.
- Feb 2017 : I’ll be attending AAAI and RSA in San Francisco, giving a talk on Anomaly Detection in secure mobile systems at RSA and a short talk on AI educaiton at the EAAI symposium at AAAI.
- January 2017: I have a new website at https://uwaterloo.ca/scholar/mcrowley which will replace this site. Check there for more up to date information about research, teaching and the things students in my lab are working on.
- July 6-8, 2016: I’ll be attending the International Conference on Computational Sustainability at Cornell.
- Check out @compsust and read the CompSust Blog for related news
- January, 2016: I’ll be teaching ECE 657A – Data and Knowledge Modeling and Analysis
- December 2015: Our latest paper on PAC Optimal MDP Planning just got published to JMLR!
- December 2015: I’ll be attending NIPS2015 in Montreal and probably tweeting heavily under @compthink, if you’re going, give me a shout.
- September, 2015: This fall I’ll be teaching ECE 606 Algorithm Design and Analysis.
- July 2015: I joined the steering committee of The Waterloo Institute for Complexity and Innovation (WICI), lots of exciting things happening at UWaterloo!
- June 17-19, 2015: I’ll be presenting at the “2015 Summer Solstice
7th International Conference on Discrete Models of Complex Systems” hosted at the Fields Institute in Toronto. If you’re in town for it look me up. - Jan, 2015: I’m begining as an Assistant Professor in the Department of Electrical and Computer Engineering at the University of Waterloo!
- Sept, 2014: I’m back in Toronto! Get in touch if you want to talk AI, Machine Learning, computational Sustainability or exciting software development projects.
- August, 2014: Completed my Postdoc at Oregon State University working with Tom Dietterich’s Machine Learning research group.
- July 24, 2014: Colloqium Talk at the Department of Electrical and Computer Engineering at the University of Waterloo. Title: Big Data and Big Decisions – From Sustainable Management to Large Scale Spatiotemporal Decision Making.
- November 25, 2013: I’ll be giving a colloqium talk of the School of Electrical Engineering & Computer Science at Oregon State University.
- October, 2013 : Attending the 1st Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM2013) in Princeton presenting my latest work on EPG planning in spatial domains with experiments on a wildfire fuel treatment simulator. See all the abstracts and papers for RLDM2013 here.
- September, 2013: Went kayaking with Humpback whales in the Great Bear Rainforest!
- August 5, 2013: Extended abstract was accepted for RLDM2013.
- July, 2013: Attending AAAI 2013 in Bellevue, Washington for the paper “PAC Optimal Planning for Invasive Species Management : Improved Exploration for Reinforcement Learning from Simulator-Defined MDPs” coauthored with Thomas Dietterich, Majid Alkaee Taleghan.
- July, 2013: Attending UAI 2013 in Bellevue, Washington.
- May, 2013: Attending the Canadian Operational Research Society (CORS2013) in Vancouver, BC
- February 25, 2013: Giving an invited talk on my research at the Computer Science Department at the University of Alberta in Edmonton.
- January, 2013: Gave a talk at the Informs Computing Society Conference in Sante Fe, New Mexico.
- December 2012: Attended NIPS2012 in Lake Tahoe, Nevada.
