A Grid Resource Allocation Mechanism for Heterogeneous E-waste Computers. - Timothy M. Lynar; Ric D. Herbert; William J. Chivers; Simon (AusGrid, 2009)

Impact of Node ranking on Outcomes of grid Resource allocation. - Timothy M. Lynar; Ric D. Herbert; Simon; William J. Chivers (GCA, 2009)

Implementing an agent based auction model on a cluster of reused workstations. - Timothy M. Lynar; Ric D. Herbert; William J. Chivers (Int. J. Comput. Appl. Technol., 2009)

Reducing grid energy consumption through choice of resource allocation method. - Timothy M. Lynar; Ric D. Herbert; Simon; William J. Chivers (IPDPS Workshops, 2010)

Clustering Obsolete Computers to Reduce E-Waste. - Timothy M. Lynar; Simon; Ric D. Herbert; William J. Chivers (Int. J. Inf. Syst. Soc. Chang., 2010)

Resource allocation to conserve energy in distributed computing. - Timothy M. Lynar; Ric D. Herbert; Simon Chivers; William J. Chivers (Int. J. Grid Util. Comput., 2011)

Reducing energy consumption in distributed computing through economic resource allocation. - Timothy M. Lynar; Simon; Ric D. Herbert; William J. Chivers (Int. J. Grid Util. Comput., 2013)

Blue Gene/Q defragmentation for energy waste minimisation. - Timothy M. Lynar; Mark D. Nelson (J. Supercomput., 2015)

Dynamic and Robust Wildfire Risk Prediction System: An Unsupervised Approach. - Mahsa Salehi; Laura Irina Rusu; Timothy M. Lynar; Anna Phan (KDD, 2016)

Cognitive IoT Gateways: Automatic Task Sharing and Switching between Cloud and Edge/Fog Computing. - Fatemeh Jalali; Olivia J. Smith; Timothy M. Lynar; Frank Suits (SIGCOMM Posters and Demos, 2017)

Dynamic Edge Fabric EnvironmenT: Seamless and Automatic Switching among Resources at the Edge of IoT Network and Cloud. - Fatemeh Jalali; Timothy M. Lynar; Olivia J. Smith; Ramachandra Rao Kolluri; Claire V. Hardgrove; Nick Waywood; Frank Suits (EDGE, 2019)

On Quantifying the Complexity of IoT Traffic. - Lisa Liu; Daryl Essam; Timothy M. Lynar (LCN, 2021)

A Data Driven Review of Board Game Design and Interactions of Their Mechanics. - Dilini Samarasinghe; Michael Barlow 001; Erandi Lakshika; Timothy M. Lynar; Nour Moustafa; Thomas Townsend; Benjamin P. Turnbull (IEEE Access, 2021)

DAD: A Distributed Anomaly Detection system using ensemble one-class statistical learning in edge networks. - Nour Moustafa; Marwa Keshk; Kim-Kwang Raymond Choo; Timothy M. Lynar; Seyit Camtepe; Monica T. Whitty (Future Gener. Comput. Syst., 2021)

Error Prevalence in NIDS datasets: A Case Study on CIC-IDS-2017 and CSE-CIC-IDS-2018. - Lisa Liu; Gints Engelen; Timothy M. Lynar; Daryl Essam; Wouter Joosen (CNS, 2022)

Edge Intelligence-based Privacy Protection Framework for IoT-based Smart Healthcare Systems. - Mahmuda Akter; Nour Moustafa; Timothy M. Lynar (INFOCOM Workshops, 2022)

Know Your Victim: Tor Browser Setting Identification via Network Traffic Analysis. - Chun-Ming Chang; Hsu-Chun Hsiao; Timothy M. Lynar; Tatsuya Mori (WWW (Companion Volume), 2022)

Complexity Measures for IoT Network Traffic. - Lisa Liu; Daryl Essam; Timothy M. Lynar (IEEE Internet Things J., 2022)

Edge Intelligence: Federated Learning-Based Privacy Protection Framework for Smart Healthcare Systems. - Mahmuda Akter; Nour Moustafa; Timothy M. Lynar; Imran Razzak (IEEE J. Biomed. Health Informatics, 2022)

Reinforcement Learning Agents Playing Ticket to Ride-A Complex Imperfect Information Board Game With Delayed Rewards. - Shuo Yang; Michael Barlow 001; Thomas Townsend; Xuejie Liu; Dilini Samarasinghe; Erandi Lakshika; Glennn Moy; Timothy M. Lynar; Benjamin P. Turnbull (IEEE Access, 2023)