Mud Lake Biodiversity Project
This project is a hobby of mine. The goal of the Mud Lake Biodiversity Project website is to have an easily accessed
pictoral catalogue of all organisms that inhabit or otherwise pass through Mud Lake.
We hope to eventually have ALL organisms catalogued, from the smallest bacterium to the largest tree.
The Britannia Conservation Area - "Mud Lake" - is an undeveloped patch of land within
Ottawa, Ontario set aside as a nature preserve and maintained by the National Capital
Commission. A path encircles the lake, taking visitors through various distinct biomes.
Here is an article on the project, written by Dylon Copland.
There are currently: 310 species catalogued in this website.
External Biodiversity Project
About Me
My name is Patrick Killeen. I am a PhD student studying Computer Science at the University of Ottawa. You may visit my home page to check out other web development I have done,
or check out my Github projects found here
Course Papers
Below is a list of papers (reports) I wrote for some of my graduate courses at the University of Ottawa
Publications
- Patrick Killeen, Ci Lin, Futong Li, Tet Yeap, and Iluju Kiringa. "IoT-Based Smart Farming Architecture Using Federated Learning: a Nitrous Oxide Emission Prediction Use Case." ACM Journal on Computing and Sustainable Societies (2025): just accepted.
- Ci Lin, Futong Li, Patrick Killeen, Tet Yeap, and Iluju Kiringa. "Agriculture-informed Neural Networks for Predicting Nitrous Oxide Emissions." ACM Transactions on Internet of Things (2024): 1-24.
- Gautam Vira, Patrick Killeen, Tet Yeap, and Iluju Kiringa. "Predictive Maintenance by Detection of Gradual Faults in an IoT-Enabled Public Bus". In 2024 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE) (pp. 570-576). IEEE, 2024.
- Patrick Killeen, Iluju Kiringa, Tet Yeap, and Paula Branco. 2024. "Corn Grain Yield Prediction Using UAV-Based High Spatiotemporal Resolution Imagery, Machine Learning, and Spatial Cross-Validation" Remote Sensing 16, no. 4: 683.
- Tet Yeap, Iluju Kiringa, Paula Branco, Patrick Killeen, Ci Lin, Bernard Asare, David Owusu, and Futong Li. "Predicting Crop Yields and Nitrous Oxide Emissions Using Data Collected at the Area X. 0 Smart Farming Research Fields: A Progress Report." In Proceedings of the 33rd Annual International Conference on Computer Science and Software Engineering, pp. 245-247. 2023.
- Patrick Killeen, Iluju Kiringa, Tet Yeap, and Branco Paula. "Using UAV-Based Multispectral Imagery, Data-Driven Models, and Spatial Cross-Validation for Corn Grain Yield Prediction." 2023 IEEE International Conference on Data Mining (ICDM). IEEE, 2023.
- Moswa, A.B., Killeen, P., Kiringa, I., Yeap, T. (2023). "Corn Yield Prediction Using Crop Growth and Machine Learning Models." In: Chinara, S., Tripathy, A.K., Li, KC., Sahoo, J.P., Mishra, A.K. (eds) Advances in Distributed Computing and Machine Learning. Lecture Notes in Networks and Systems, vol 660. Springer, Singapore.
- Patrick Killeen, Iluju Kiringa, and Tet Yeap. "Corn Grain Yield Prediction Using UAV-based High Spatiotemporal Resolution Multispectral Imagery." IEEE International Conference on Data Mining Workshops (ICDMW). IEEE, 2022.
- Patrick Killeen, Iluju Kiringa, and Tet Yeap. "Unsupervised Dynamic Sensor Selection for IoT-based Predictive Maintenance of a Fleet of Public Transport Buses." ACM Transactions on Internet of Things 3.3 (2022): 1-36.
- P. Killeen, B. Ding, I. Kiringa, and T. Yeap, "IoT-based predictive maintenance for fleet management", Procedia Computer Science, vol. 151, pp. 607-613, 2019.
Last modified: March 14 2025 09:58:27.
