Bradley Alexander

• Appointments

  Date	Position	Institution name
  1996 - ongoing	Senior Lecturer	University of Adelaide

• Education

  Date	Institution name	Country	Title
  2006	University of Adelaide, Adelaide	Australia	PhD
  2006	University of Adelaide	Australia	Grad. Cert. Higher Education
  1990	University of Western Australia	Australia	BSC (Hons)
  1988	University of Western Australia	Australia	BSC

• Postgraduate Training

  Date	Title	Institution	Country
  	Graduate Certificate in Higher Education	University of Adelaide	Australia

• Research Interests

  Artificial Intelligence Neural, Evolutionary and Fuzzy Computation Water Resources Engineering

• Journals

  Year	Citation
  2023	Zhang, C., Alexander, B. J., Stephens, M. L., Lambert, M. F., & Gong, J. (2023). A convolutional neural network for pipe crack and leak detection in smart water network. Structural Health Monitoring: an international journal, 22(1), 232-244. DOI Scopus28 WoS9
  2022	Bohorquez Arevalo, J., Lambert, M. F., Alexander, B., Simpson, A. R., & Abbott, D. (2022). Stochastic Resonance Enhancement for Leak Detection in Pipelines Using Fluid Transients and Convolutional Neural Networks. Journal of Water Resources Planning and Management, 148(3), 04022001-1-04022001-15. DOI Scopus25 WoS6
  2021	Bohorquez, J., Simpson, A. R., Lambert, M. F., & Alexander, B. (2021). Merging Fluid Transient Waves and Artificial Neural Networks for Burst Detection and Identification in Pipelines. Journal of Water Resources Planning and Management, 147(1), 1-14. DOI Scopus25 WoS15
  2021	Neumann, A., Alexander, B., & Neumann, F. (2021). Evolutionary Image Transition and Painting Using Random Walks. Evolutionary Computation, 28(4), 643-675. DOI
  2021	Neshat, M., Nezhad, M. M., Abbasnejad, E., Mirjalili, S., Tjernberg, L. B., Astiaso Garcia, D., . . . Wagner, M. (2021). A deep learning-based evolutionary model for short-term wind speed forecasting: A case study of the Lillgrund offshore wind farm. Energy Conversion and Management, 236, 1-25. DOI Scopus171 WoS83
  2021	Neshat, M., Nezhad, M. M., Abbasnejad, E., Mirjalili, S., Groppi, D., Heydari, A., . . . Wagner, M. (2021). Wind turbine power output prediction using a new hybrid neuro-evolutionary method. Energy, 229, 120617-1-120617-24. DOI Scopus93 WoS51
  2020	Neshat, M., Sergiienko, N. Y., Amini, E., Nezhad, M. M., Garcia, D. A., Alexander, B., & Wagner, M. (2020). A new bi-level optimisation framework for optimising a multi-modewave energy converter design: A case study for the marettimo island, mediterranean sea. Energies, 13(20), 5498. DOI Scopus23 WoS16
  2020	Bohorquez, J., Alexander, B., Simpson, A. R., & Lambert, M. F. (2020). Leak Detection and Topology Identification in Pipelines Using Fluid Transients and Artificial Neural Networks. Journal of Water Resources Planning and Management, 146(6), 1-11. DOI Scopus85 WoS50
  2020	Neshat, M., Alexander, B., & Wagner, M. (2020). A hybrid cooperative co-evolution algorithm framework for optimising power take offand placements of wave energy converters. Information Sciences, 534, 218-244. DOI Scopus53 WoS32
  2020	Neshat, M., Alexander, B., Sergiienko, N. Y., & Wagner, M. (2020). New insights into position optimization of wave energy converters using hybrid local search. Swarm and Evolutionary Computation, 59, 100744-1-100744-18. DOI Scopus29 WoS14
  2020	Neumann, A., Alexander, B., & Neumann, F. (2020). Evolutionary Image Transition and Painting Using Random Walks. Evolutionary Computation, 28(4), 643-675. DOI Scopus11 WoS8
  2019	Qiu, M., Simpson, A. R., Elhay, S., & Alexander, B. (2019). Bridge-Block Partitioning Algorithm for Speeding Up Analysis of Water Distribution Systems. Journal of Water Resources Planning and Management, 145(9), 15 pages. DOI Scopus3 WoS3
  2019	Qiu, M., Elhay, S., Simpson, A., & Alexander, B. (2019). Benchmarking study of water distribution system solution methods. Journal of Water Resources Planning and Management, 145(2), 13 pages. DOI Scopus5 WoS3
  2019	Conway, D., Alexander, B., King, M., Heinson, G., & Kee, Y. (2019). Inverting magnetotelluric responses in a three-dimensional earth using fast forward approximations based on artificial neural networks. Computers and Geosciences, 127, 44-52. DOI Scopus46 WoS26
  2019	Qiu, M., Alexander, B., Simpson, A., & Elhay, S. (2019). A software tool for assessing the performance of and implementing water distribution system solution methods. Environmental Modelling and Software, 112, 52-69. DOI Scopus2 WoS1
  2014	Simpson, A., Elhay, S., & Alexander, B. (2014). Forest-core partitioning algorithm for speeding up analysis of water distribution systems. Journal of Water Resources Planning and Management, 140(4), 435-443. DOI Scopus21 WoS16
  2014	Elhay, S., Simpson, A., Deuerlein, J., Alexander, B., & Schilders, W. (2014). Reformulated co-tree flows method competitive with the global gradient algorithm for solving water distribution system equations. Journal of Water Resources Planning and Management, 140(12), 04014040-1-04014040-10. DOI Scopus41 WoS36

• Conference Papers

  Year	Citation
  2021	Haraldsson, S., Brownlee, A., Woodward, J. R., Wagner, M., & Alexander, B. (2021). Genetic improvement: Taking real-world source code and improving it using genetic programming. In GECCO 2021 Companion - Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion (pp. 786-817). New York, NY, United States: Association for Computing Machinery. DOI
  2020	Neshat, M., Alexander, B., Sergiienko, N. Y., & Wagner, M. (2020). Optimisation of large wave farms using a multi-strategy evolutionary framework. In Proceedings of the 2020 Genetic and Evolutionary Computation Conference (GECCO'20) Vol. abs/2003.09594 (pp. 1150-1158). New York: Association for Computing Machinery. DOI Scopus23 WoS10
  2020	Bokhari, M. A., Alexander, B., & Wagner, M. (2020). Towards rigorous validation of energy optimisation experiments. In Proceedings of the 2020 Genetic and Evolutionary Computation Conference (GECCO'20) Vol. abs/2004.04500 (pp. 1232-1240). New York: Association for Computing Machinery. DOI Scopus9 WoS1
  2020	Bokhari, M. A., Wagner, M., & Alexander, B. (2020). Genetic improvement of software efficiency: the curse of fitness estimation. In C. A. C. Coello (Ed.), GECCO'20: Proceedings of the 2020 Genetic and Evolutionary Computation Conference (pp. 1926-1927). online: ACM. DOI Scopus1
  2020	Sergiienko, N. Y., Neshat, M., Silva, L. S. P. D., Alexander, B., & Wagner, M. (2020). Design optimisation of a multi-mode wave energy converter. In Proceedings of the 39th International Conference on Ocean, Offshore and Arctic Engineering (OMAE 2020) Vol. 9 (pp. 1-11). Online: American Society of Mechanical Engineers (ASME). DOI Scopus17
  2019	Bokhari, M. A., Weng, L., Wagner, M., & Alexander, B. (2019). Mind the gap - A distributed framework for enabling energy optimisation on modern smart-phones in the presence of noise, drift, and statistical insignificance. In 2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Proceedings (pp. 1330-1337). online: IEEE. DOI Scopus11 WoS5
  2019	Alexander, B., Hin, D., Neumann, A., & Ull-Karim, S. (2019). Evolving Pictures in Image Transition Space. In T. Gedeon, K. W. Wong, & M. Lee (Eds.), Neural Information Processing. ICONIP 2019 Vol. 11953 (pp. 679-690). Sydney, NSW, Aust: Springer. DOI Scopus1 WoS1
  2019	Brownlee, A. E. I., Petke, J., Alexander, B., Barr, E. T., Wagner, M., & White, D. R. (2019). Gin: Genetic improvement research made easy. In GECCO 2019: Proceedings of the 2019 Genetic and Evolutionary Computation Conference (pp. 985-993). New York: ACM. DOI Scopus37 WoS23
  2019	Neshat, M., Alexander, B., Sergiienko, N., & Wagner, M. (2019). A hybrid evolutionary algorithm framework for optimising power take off and placements of wave energy converters. In GECCO '19 Proceedings of the Genetic and Evolutionary Computation Conference Vol. abs/1904.07043 (pp. 1293-1301). New York: ACM. DOI Scopus19 WoS14
  2019	Petke, J., Alexander, B., Barr, E. T., Brownlee, A. E. I., Wagner, M., & White, D. R. (2019). A survey of genetic improvement search spaces. In GECCO '19 Companion - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion (pp. 1715-1721). online: Association for Computing Machinery. DOI Scopus28 WoS15
  2019	Bokhari, M. A., Wagner, M., & Alexander, B. (2019). The quest for non-functional property optimisation in heterogeneous and fragmented ecosystems: A distributed approach. In GECCO 2019 Companion - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion (pp. 1705-1706). online: ACM. DOI Scopus1 WoS2
  2019	Neshat, M., Abbasnejad, E., Shi, Q., Alexander, B., & Wagner, M. (2019). Adaptive neuro-surrogate-based optimisation method for wave energy converters placement optimisation. In T. Gedeon, K. W. Wong, & M. Lee (Eds.), Proceedings of the 26th International Conference on Neural Information Processing (ICONIP 2019), as published in Lecture Notes in Computer Science (Neural Information Processing Proceedings, Part II) Vol. 11954 (pp. 353-366). Switzerland: Springer Nature. DOI Scopus26 WoS16
  2018	Bokhari, M. A., Alexander, B., & Wagner, M. (2018). In-vivo and offline optimisation of energy use in the presence of small energy signals: case study on a popular Android library. In MobiQuitous '18 Proceedings of the 15th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (pp. 207-215). New York City, NY: Association for Computing Machinery. DOI Scopus18 WoS10
  2018	Izu, M., & Alexander, B. (2018). Using unstructured practice plus reflection to develop programming/problem-solving fluency. In Proceedings of the 20th Australasian Computing Education Conference (pp. 25-34). online: ACM. DOI Scopus8
  2018	Neumann, A., Pyromallis, C., & Alexander, B. (2018). Evolution of Images with Diversity and Constraints Using a Generative Adversarial Network. In L. Cheng, A. C. -S. Leung, & S. Ozawa (Eds.), Neural Information Processing - 25th International Conference, ICONIP 2018, Siem Reap, Cambodia, December 13-16, 2018, Proceedings, Part VI Vol. 11306 (pp. 452-465). Siem Reap, Cambodia: Springer. DOI Scopus8 WoS5
  2018	Neshat, M., Alexander, B., Wagner, M., & Xia, Y. (2018). A detailed comparison of meta-heuristic methods for optimising wave energy converter placements. In H. E. Aguirre, & K. Takadama (Eds.), Proceedings of the 2018 Genetic and Evolutionary Computation Conference as published in GECCO 2018 (pp. 1318-1325). online: ACM. DOI Scopus41 WoS26
  2017	Alexander, B., Kortman, J., & Neumann, A. (2017). Evolution of artistic image variants through feature based diversity optimisation. In P. A. N. Bosman (Ed.), Proceedings of the Genetic and Evolutionary Computation Conference. GECCO '17 (pp. 171-178). Berlin, Germany: ACM. DOI Scopus36 WoS27
  2017	Neumann, A., Alexander, B., & Neumann, F. (2017). Evolutionary Image Transition and Painting Using Random Walks. In Proceedings of the 6th International Conference on Evolutionary and Biologically Inspired Music, Sound, Art and Design (EvoMUSART 2017), as published in Lecture Notes in Computer Science Vol. 10198 (pp. 230-245). Cham, Switzerland: Springer International Publishing. DOI Scopus18 WoS14
  2017	Bokhari, M. A., Bruce, B. R., Alexander, B., & Wagner, M. (2017). Deep parameter optimisation on android smartphones for energy minimisation-a tale of woe and a proof-of-concept. In P. A. N. Bosman (Ed.), GECCO 2017 - Proceedings of the Genetic and Evolutionary Computation Conference Companion (pp. 1501-1508). online: ACM. DOI Scopus30
  2016	Neumann, A., Alexander, B., & Neumann, F. (2016). The Evolutionary Process of Image Transition in Conjunction with Box and Strip Mutation. In A. Hirose, S. Ozawa, K. Doya, K. Ikeda, M. Lee, & D. Liu (Eds.), Proceedings, Part III of the 23rd International Conference on Neural Information Processing (ICONIP 2016), as published in Lecture Notes in Computer Science Vol. 9949 (pp. 261-268). Cham, Switzerland: Springer International Publishing. DOI Scopus8 WoS8
  2016	Alexander, B., Pyromallis, C., Lorenzetti, G., & Zacher, B. (2016). Using scaffolding with partial call-trees to improve search. In J. Handl (Ed.), Proceedings of the 14th International Conference on Parallel Problem Solving from Nature Vol. 9921 (pp. 324-334). Edinburgh, Scotland, United Kingdom: Springer, Cham. DOI
  2014	Alexander, B., & Zacher, B. (2014). Boosting search for recursive functions using partial call-trees. In Proceedings of the 13th International Conference on Parallel Problem Solving from Nature (pp. 384-393). Ljubljana, Slovenia: Springer, Cham. DOI
  2013	Ibrahim, M., & Alexander, B. (2013). Evolving decision-making functions in an autonomous robotic exploration strategy using grammatical evolution. In Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS (pp. 4340-4346). United States: IEEE. DOI Scopus3 WoS3
  2012	Ibrahim, M., & Alexander, B. (2012). Designing a navigational control system of an autonomous robot for multi-requirements planetary navigation using evolutionary approach. In Proceedings of the 12th Australian Space Science Conference (pp. 1). online.
  2012	Alexander, B., Donnellan, S., Jeffries, A., Olds, T., & Sizer, N. (2012). Boosting instruction set simulator performance with parallel block optimisation and replacement. In Proceedings of the 35th Australasian Computer Science Conference, ACSC 2012 Vol. 122 (pp. 11-20). Australia: Australian Computer Society Inc. Scopus3
  2012	Alexander, B., Peacock, J., & Thiel, S. (2012). Application of evolutionary methods to 3D geoscience modelling. In Proceedings of the 14th International Conference on Genetic and Evolutionary Computation - GECCO'12 (pp. 1039-1046). New York: ACM. DOI Scopus2 WoS2
  2011	Ibrahim, M., & Alexander, B. (2011). Evolving a path planner for a multi-robot exploration system using grammatical evolution. In Proceedings of ISSNIP 2011 (pp. 590-595). USA: IEEE. DOI Scopus3
  2011	Ackling, T., Alexander, B., & Grunert, I. (2011). Evolving patches for software repair. In Proceedings of GECCO'11 (pp. 1427-1434). Ireland: ACM. DOI
  2010	Alexander, B., & Izu, M. (2010). Engaging weak programmers in problem solving. In Proceedings of IEEE EDUCON Education Engineering 2010 - The Future of Global Learning Engineering Education (pp. 997-1005). USA: IEEE. DOI Scopus3
  2009	Alexander, B., & Gratton, M. (2009). Constructing an Optimisation Phase Using Grammatical Evolution. In Proceedings of the IEEE Congress on Evolutionary Computation (pp. 395-506). USA: IEEE. DOI
  2006	Alexander, B., & Wendelborn, A. (2006). A simple programming model for new-generation hardware. In H. Detmold, K. Falkner, & D. Munro (Eds.), Proceedings of WOSSA'2006 (pp. 27-34). Adelaide, Australia: University of Adelaide.
  2006	Alexander, B., & Wendelborn, A. (2006). Data movement optimisation in point-free form. In M. Johnson, & V. Vene (Eds.), Proceedings of the 11th International AMAST Conference Vol. 4019 (pp. 21-35). Germany: Springer. DOI
  2004	Alexander, B., & Wendelborn, A. (2004). Automated transformation of BMF programs. In H. Detmold, K. Falkner, & D. Munro (Eds.), Proceedings of the First International Workshop on Object Systems and Software Architectures 2004 (pp. www 1-www 9). htp://www.cs.adelaide.edu.au/~wossa2004: The University of Adelaide.

• Preprint

  Year	Citation
  2019	Neshat, M., Alexander, B., & Simpson, A. R. (2019). Covariance Matrix Adaptation Greedy Search Applied to Water Distribution System Optimization..

Teaching

Teaching Leadership

I am the current director of teaching for the School of Computer Science. I have a keen interest in the development and improvement of teaching in the School. I actively mentor new staff and help coordinate and build capabilities in sessional teaching staff and help to oversee processes of course renewal and transition.  I am very interested in the development of research capability in undergraduate students and have set up and co-supevised many research projects with undergraduate students - a number of which have lead to publications. I also work at forging links between students and industry - I have been active in promoting industry projects to students and have co-supervised an number of industry projects. I am very interested in wider dissemination of our teaching and I am a co-developer of the AdelaideX Data101x MOOC. 

Current Teaching

My teaching focuses on Algorithms and Problem Solving at first and second year level. I teach into our introductory programming courses, algorithms courses, and have developed new problem solving courses at second year level. I also help to teach the core first year course for the Bachelor of Computer Science (Advanced) degree Grand Challenges - which helps students develop research capabilities and put their research into a broader societal context. I also teach our core second year Computer Systems course.

Past Teaching

I have in past years coordinated courses in Programming Paradigms, Advanced Problem Solving, Operating Systems, and Parallel Programming.

• Past Higher Degree by Research Supervision (University of Adelaide)

  Date	Role	Research Topic	Program	Degree Type	Student Load	Student Name
  2017 - 2021	Co-Supervisor	Use of Artificial Neural Networks and fluid transient waves for active and passive inspection of water pipelines	Doctor of Philosophy	Doctorate	Full Time	Dr Jessica Bohorquez Arevalo
  2016 - 2021	Co-Supervisor	Genetic Improvement of Software for Energy Efficiency in Noisy and Fragmented Eco-Systems	Doctor of Philosophy	Doctorate	Full Time	Mr Mahmoud Abdulwahab K Bokhari
  2016 - 2019	Principal Supervisor	Algorithms and Machine Learning for Evolving Images	Doctor of Philosophy	Doctorate	Full Time	Mrs Aneta Neumann
  2016 - 2020	Principal Supervisor	The Application of Nature-inspired Metaheuristic Methods for Optimizing Renewable Energy Problems and the Design of Water Distribution Networks	Doctor of Philosophy	Doctorate	Full Time	Mr Mehdi Neshat
  2014 - 2018	Co-Supervisor	A Software Tool for Assessing the Performance of Water Distribution System Solution Methods Based on Graph Theory	Doctor of Philosophy	Doctorate	Full Time	Mr Mengning Qiu
  2011 - 2015	Co-Supervisor	An Adaptive Provenance Collection Architecture In Scientific Workflow Systems	Doctor of Philosophy	Doctorate	Part Time	Mr Mehdi Sarikhani
  2010 - 2015	Co-Supervisor	Evolution of High Level Motion Control for Autonomous Ground Vehicles	Doctor of Philosophy	Doctorate	Full Time	Mr Mohd Faisal Ibrahim

• Consulting/Advisories

  Date	Institution	Department	Organisation Type	Country
  2020 - ongoing	SA Water	Research Water Distribution	Business and professional	Australia
  2019 - 2019	MEQ Pty Ltd	Data Analysis Team	Business and professional	Australia
  2017 - 2017	CSIRO On Prime	-	Scientific research	Australia
  2016 - 2017	Sentek Pty Ltd	-	Business and professional	Australia

• Email: bradley.alexander@adelaide.edu.au