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Dr Paul Keeler
Associate Investigator
The University of Melbourne
I am a researcher with interests in mathematical models involving randomness. My Google profile lists my research contributions. More information on my research can be found on my website: hpaulkeeler.wordpress.com
Research Interests:
Applied probability
Random networks
Spatial models
Stochastic models
Qualifications:
PhD (Applied Probability)
Bachelor of Science (Physics)
Bachelor of Technology (Electronics)
Publications
Books
Błaszczyszyn, B., Haenggi M., Keeler H., & Mukherjee S.
(2018). Stochastic Geometry Analysis of Cellular Networks.
doi: 10.1017/9781316677339
Invited talks, refereed proceedings and other conference outputs
Bowden, R., Keeler H., Krzesinski A., & Taylor P.
(2018). Block arrivals in the Bitcoin blockchain.
Stochastic Models VI, Bedlewo, Poland..
Bowden, R., Keeler H., Krzesinski A., & Taylor P.
(2018). Block arrivals in the Bitcoin blockchain.
Colloquium, Department of MNanagement Science and Engineering, Stanford University.
Blaszczyszyn, B.., Keeler H., & Muhlethaler P..
(2017). Optimizing spatial throughput in device-to-device networks.
2017 15th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt)2017 15th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt). 1 - 6. doi: 10.23919/WIOPT.2017.7959938
Journal Articles
Chattopadhyay, A., Blaszczyszyn B., & Keeler H.
(2018). Gibbsian On-Line Distributed Content Caching Strategy for Cellular Networks.
IEEE Transactions on Wireless Communications. 17(2), 969-981. doi: 10.1109/TWC.2017.2772911
Hirsch, C., Jahnel B., Keeler H., & Patterson R.
(2018). Large deviations in relay-augmented wireless networks.
Queueing Systems. 88(3-4), 349-387. doi: 10.1007/s11134-017-9555-9
Keeler, H., Ross N., & Xia A.
(2018). When do wireless network signals appear Poisson?.
Bernoulli. 24(3), 1973-1994. doi: 10.3150/16-BEJ917
Hirsch, C., Jahnel B., Keeler H., & Patterson R. I. A.
(2017). Traffic flow densities in large transport networksAbstract.
Advances in Applied Probability. 49(04), 1091 - 1115. doi: 10.1017/apr.2017.35
Göbel, J., Keeler H., Krzesinski A., & Taylor P.
(2016). Bitcoin blockchain dynamics: The selfish-mine strategy in the presence of propagation delay.
Performance Evaluation. 104, 23-41. doi: 10.1016/j.peva.2016.07.001
Keeler, H., Ross N., Xia A., & Blaszczyszyn B.
(2016). Stronger wireless signals appear more Poisson.
IEEE Wireless Communications Letters. 5(6), 572-575. doi: 10.1109/LWC.2016.2601913
Hirsch, C., Jahnel B., Keeler H., & Patterson R. I. A.
(2016). Large deviation principles for connectable receivers in wireless networksAbstract.
Advances in Applied Probability. 48(04), 1061 - 1094. doi: 10.1017/apr.2016.65
Blaszczyszyn, B., & Keeler H.
(2015). Studying the SINR Process of the Typical User in Poisson Networks Using Its Factorial Moment Measures.
IEEE Transactions on Information Theory. 61(12), 6774 - 6794. doi: 10.1109/TIT.2015.2484348
Keeler, H., & Taylor P.
(2014). Discussion on “On the Laplace Transform of the Aggregate Discounted Claims with Markovian Arrivals,” by Jiandong Ren, Volume 12(2).
North American Actuarial Journal. 19(1), 73-77. doi: 10.1080/10920277.2014.977453
