I am the technical lead on a pollution monitoring project designing, building, and maintaining the data acquisition hardware, server backend, and visualisation elements.
Technology for Good was incorporated to work on problems of environmental and societal import and carried out pro-bono technical work for a variety of social enterprises.
Lecturing for IoT, Erlang, and People and Computing modules. Co-management of makerspace. Construction of IoT prototypes for external stakeholders.
Analysed PPC data to assess bidding strategy and constructed a tool to aid decision making. Responsible for maintaining adwords scraper.
Noisy Atom is an IoT solutions company. Consulted on IoT projects for external clients. Re-worked PCBs for external client. Performed R&D on IoT product development.
M2M product development lead. Covering high level design, systems integration, hardware prototyping, and embedded software development. Rapidly developed IoT prototypes for people across the business. Management of stakeholders, contractors, suppliers, and budget of ~200K.
Lead developer on LTE link and system level simulator. Research focused on scheduling mechanisms to mitigate inter-cell interference. Managed R&D compute cluster. Lead author of three peer-reviewed publications. Author on three granted patents.
Software development and research. Research focused on the representation of time in the cerebellum during delayed-conditioning tasks. Biologically accurate models of cerebellar circuits were developed and experiments conducted.
Software development and research. Research focused on induction of symbolic structures in networks of spiking neurons. Modelling of recurrent networks of spiking neurons. Second author on two peer-reviewed publications.
10+ years experience using Matlab for statistical and parametric analysis. Creation of custom visualisation tools. Visualization of high dimensional and complicated data sets. Working with very large data sets across clusters of computers.
LaTeX, Docbook, Word. Experience authoring of peer reviewed scientific articles (8), patents (3), tutorials (20+). Reviewer for IEEE journals and conferences. Written hundreds of blog articles attracting tens of thousands of web hits.
10+ years of Unix experience. Installation and configuration of nginx, lighttpd, haproxy, postfix, spamassassin, ipfw, iptables, etc. Maintained personal web and mail server for family. Maintained Vodafone R&D compute cluster.
Extensive presentation and public speaking. International project involvement, both academic (for example FP7 projects) and industrial collaborations. Attendance and contribution to industry standards meetings and other forums. Three month secondment at NII, Tokyo, Japan.
Animating Typescript Using Aesthetically Evolved Images, Ashley Mills, International Conference on Evolutionary and Biologically Inspired Music and Art, (pp 126-134). Springer International Publishing, 2016.
Evolving Aesthetic Images, Ashley Mills, MSc Natural computation mini project thesis. 2005.
Scheduling Strategies and Inteference Migitation for OFDMA Cellular Networks, Ashley Mills, EngD Thesis
Power-Efficient Downlink Transmission in Multicell Networks with Limited Wireless Backhaul, Tuan Anh Le, S. Nasseri, A. Zarrebini-Esfahani, M.R. Nakhai, A. Mills, IEEE Wireless Communications, Volume 18, Issue 5. Pages 82-88. October 2011.(c) 2011 IEEE
Understanding Static Inter-Cell Interference Coordination Mechanisms in LTE, Ashley Mills, David Lister, Marina De Vos, Journal of Communications, Volume 6, Number 4, July 2011 (c) Academy Publisher
Intrasite Scheduling for Interference Avoidance in LTE, Ashley Mills, David Lister, In Proceedings of the IEEE 73rd Vehicular Technology Conference, IEEE VTC2011-Spring, 2011, Budapest, Hungary. (c) 2011 IEEE
The impact of MS velocity on the performance of frequency selective scheduling in IEEE 802.16e Mobile WiMAX, Ashley Mills, David Lister, Marina De Vos, and Yusheng Ji, In Proceedings of IEEE Consumer Communications and Networking Conference, 2010, Las Vegas, Nevada. (c) 2010 IEEE
Learning Beyond Finite Memory in Recurrent Networks Of Spiking Neurons, Peter Tino, Ashley Mills, Neural Computation, Volume 18, Issue 3 (March 2006), Pages 591-613. (c) MIT Press
Learning Beyond Finite Memory in Recurrent Networks Of Spiking Neurons, Peter Tino, Ashley Mills, In Advances in Natural Computation - ICNC 2005, (eds) L. Wang, K. Chen, Y.S. Ong. pp. 666-675, Lecture Notes in Computer Science, Springer-Verlag, 2005.
Non-Linear memory, Ashley Mills, MSc Natural computation summer project thesis. 2005.
Beyond Finite Memory with Networks of Spiking Neurons, Ashley Mills, BSc Computer Science Thesis, 2004.
Interference detection in mobile telecommunications networks, John Turk, Roger Beck, Ashley Mills Issued 12th August 2014. [US8804555B2, EP2466945A1, EP2466945B1, US20120155307].
CQI Adjustment, Ashley Mills, Eric Douglas Murray Issued 8th May 2014. [WO2014023963A3, EP2883407A2, US20150201428, WO2014023963A2].
Telecommunications system and method, Nicholas Herriot, Ashley Mills, David Lister Issued 2nd August 2016. [US9407575B2, EP2661107A1, EP2661107B1, US20140146826].