Associate Professor Marcus Gallagher

Associate Professor

School of Information Technology and Electrical Engineering
Faculty of Engineering, Architecture and Information Technology
marcusg@itee.uq.edu.au
+61 7 336 56197

Overview

Researcher in Complex and Intelligent Systems

Marcus Gallagher is an Associate Professor in the Complex and Intelligent Systems Research group in the School of Information Technology and Electrical Engineering. His main research interests are metaheuristic optimization and machine learning algorithms, in particular techniques based on statistical modelling. He is also interested in biologically inspired algorithms, methodology for empirical evaluation of algorithms and the visualization of high-dimensional data.

Dr Gallagher received his BCompSc and GradDipSc from the University of New England, Australia in 1994 and 1995 respectively, and his PhD in 2000 from the University of Queensland, Australia. He also completed a GradCert (Higher Education) in 2010.

Qualifications

  • PhD, The University of Queensland
  • Grad Dip Sc, University of New England
  • Bachelor of Computer Science, University of New England

Publications

View all Publications

Supervision

  • Doctor Philosophy

  • Doctor Philosophy

  • Doctor Philosophy

View all Supervision

Publications

Book Chapter

  • Yuan, B. and Gallagher, M. (2007). Combining Meta-EAs and Racing for Difficult EA Parameter Tuning Tasks. In Lobo, F. G., Lima, C. F. and Michalewicz, Z. (Ed.), Parameter Setting in Evolutionary Algorithms (pp. 121-142) Berlin, Heidelberg, Germany: Springer-Verlag. doi:10.1007/978-3-540-69432-8_6

Journal Article

Conference Publication

  • Saleem, Sobia and Gallagher, Marcus (2017). Exploratory analysis of clustering problems using a comparison of particle swarm optimization and differential evolution. In: Markus Wagner, Xiaodong Li and Tim Hendtlass, 3rd Australasian Conference on Artificial Life and Computational Intelligence, ACALCI 2017. 3rd Australasian Conference on Artificial Life and Computational Intelligence, ACALCI 2017, Geelong, VIC, Australia, (314-325). 31 January – 2 February 2017. doi:10.1007/978-3-319-51691-2_27

  • Hu, Xuelei, Gallagher, Marcus, Loveday, William, Connor, Jason P. and Wiles, Janet (2015). Detecting anomalies in controlled drug prescription data using probabilistic models. In: Stephan K. Chalup, Alan D. Blair and Marcus Randall, Artificial Life and Computational Intelligence: First Australasian Conference, ACALCI 2015, Proceedings. 1st Australasian Conference on Artificial Life and Computational Intelligence, ACALCI 2015, Newcastle, NSW Australia, (337-349). 5 - 7 February 2015.

  • Mishra, Krishna Manjari and Gallagher, Marcus (2014). A modified screening estimation of distribution algorithm for large-scale continuous optimization. In: Grant Dick, Will N. Browne, Peter Whigham, Mengjie Zhang, Lam Thu Bui, Hisao Ishibuchi, Yaochu Jin, Xiaodong Li, Yuhui Shi, Pramod Singh, Kay Chen Tan and Ke Tang, Simulated Evolution and Learning : Proceedings 10th International Conference, SEAL 2014, Dunedin, New Zealand, December 15-18, 2014. 10th International Conference SEAL 2014, Dunedin, New Zealand, (119-130). 15-18 December 2014. doi:10.1007/978-3-319-13563-2_11

  • Gallagher, Marcus (2014). Clustering problems for more useful benchmarking of optimization algorithms. In: Grant Dick, Will N. Browne, Peter Whigham, Mengjie Zhang, Lam Thu Bui, Hisao Ishibuchi, Yaochu Jin, Xiaodong Li, Yuhui Shi, Pramod Singh, Kay Chen Tan and Ke Tang, Simulated Evolution and Learning : Proceedings 10th International Conference, SEAL 2014, Dunedin, New Zealand, December 15-18, 2014. 10th International Conference SEAL 2014, Dunedin, New Zealand, (131-142). 15-18 December 2014. doi:10.1007/978-3-319-13563-2_12

  • Morgan, Rachael and Gallagher, Marcus (2014). Fitness landscape analysis of circles in a square packing problems. In: Grant Dick, Will N. Browne, Peter Whigham, Mengjie Zhang, Lam Thu Bui, Hisao Ishibuchi, Yaochu Jin, Xiaodong Li, Yuhui Shi, Pramod Singh, Kay Chen Tan and Ke Tang, Simulated Evolution and Learning. 10th International Conference, SEAL 2014, Dunedin, New Zealand, (455-466). 15 - 18 December 2014. doi:10.1007/978-3-319-13563-2_39

  • Shaker, Noor, Togelius, Julian, Yannakakis, Georgios N., Poovanna, Likith, Ethiraj, Vinay S., Johansson, Stefan J., Reynolds, Robert G., Heether, Leonard K., Schumann, Tom and Gallagher, Marcus (2013). The Turing test track of the 2012 Mario AI championship: entries and evaluation. In: 2013 IEEE Conference on Computational Intelligence in Games (CIG). 2013 IEEE Conference on Computational Intelligence in Games (CIG), Niagara Falls, ON, Canada, (291-298). 11-13 August, 2013. doi:10.1109/CIG.2013.6633634

  • Rohde, David, Gallagher, Marcus and Drinkwater, Michael (2012). Astronomical catalogue matching as a mixture model problem. In: Julio Michael Stern, Marcelo de Souza Lauretto, Adriano Polpo and Marcio Alves Diniz, AIP Conference Proceedings: XI Brazilian Meeting On Bayesian Statistics (EBEB 2012). 11th Brazilian Meeting on Bayesian Statistics (EBEB), Amparo, Brazil, (304-313). 18-22 March 2012. doi:10.1063/1.4759615

  • Gallagher, Marcus (2012). Beware the parameters: estimation of distribution algorithms applied to circles in a square packing. In: Carlos A.Coello Coello, Vincenzo Cutello, Kalyanmoy Deb, Stephanie Forrest, Giuseppe Nicosia and Mario Pavone, Parallel Problem Solving from Nature - PPSN XII 12th International Conference, Proceedings, Part II. Parallel Problem Solving from Nature - PPSN XII 12th International Conference, Taormina, Italy, (478-487). 1 - 5 September 2012. doi:10.1007/978-3-642-32964-7_48

  • McPartland, Michelle and Gallagher, Marcus (2012). Game designers training first person shooter bots. In: Michael Thielscher and Dongmo Zhang, Proceedings of the 25th Australasian Joint Conference on Artificial Intelligence (AI'12). AI 2012: Advances in Artificial Intelligence, Sydney, Australia, (397-408). 4 - 7 December 2012. doi:10.1007/978-3-642-35101-3_34

  • McPartland, Michelle and Gallagher, Marcus (2012). Interactively training first person shooter bots. In: Proceedings of the 2012 IEEE International Conference on Computational Intelligence and Games, CIG 2012. IEEE International Conference on Computational Intelligence and Games, CIG 2012, Granada, Spain, (132-138). 11 - 14 September 2012. doi:10.1109/CIG.2012.6374149

  • Morgan, Rachael and Gallagher, Marcus (2012). Length scale for characterising continuous optimization problems. In: Carlos A.Coello Coello, Vincenzo Cutello, Kalyanmoy Deb, Stephanie Forrest, Giuseppe Nicosia and Mario Pavone, Parallel Problem Solving from Nature - PPSN XII 12th International Conference, Proceedings, Part II. Parallel Problem Solving from Nature - PPSN XII 12th International Conference, Taormina, Italy, (407-416). 1 - 5 September 2012. doi:10.1007/978-3-642-32937-1_41

  • Mishra, Krishna Manjari and Gallagher, Marcus (2012). Variable screening for reduced dependency modelling in Gaussian-based continuous estimation of distribution algorithms. In: 2012 IEEE Congress on Evolutionary Computation (CEC). 2012 IEEE World Congress on Computational Intelligence (IEEE-WCCI 2012), Brisbane Australia, (). 10-15 June 2012. doi:10.1109/CEC.2012.6256482

  • Luo, Wei and Gallagher, Marcus (2011). Faster and parameter-free discord search in quasi-periodic time series. In: Joshua Zhexue Huang, Longbing Cao and Jaideep Srivastav, Advances in Knowledge Discovery and Data Mining: 15th Pacific-Asia Conference, PAKDD 2011: Proceedings, part II. 15th Pacific-Asia Conference on Knowledge Discovery and Data Mining, Shenzhen, China, (135-148). 24-27 May 2011. doi:10.1007/978-3-642-20847-8_12

  • Arief, Ardiaty, Nappu, Muhammad Bachtiar, Gallagher, Marcus and Dong, Zhao Yang (2011). Under voltage load shedding utilizing trajectory sensitivity to enhance voltage stability. In: 2011 21st Australasian Universities Power Engineering Conference (AUPEC 2011). 21st Australasian Universities Power Engineering Conference (AUPEC) 2011, Brisbane, Australia, (). 25-28 September 2011.

  • Arief, Ardiaty, Nappu, Muhammad Bachtiar, Gallagher, Marcus, Dong, Zhao Yang and Zhao, Junhua (2010). Comparison of CPF and modal analysis methods in determining effective DG locations. In: IPEC 2010 Conference Proceedings. 9th International Power and Energy Conference (IPEC), Singapore, (555-560). 27-29 October 2010. doi:10.1109/IPECON.2010.5697057

  • Luo, Wei and Gallagher, Marcus (2010). Unsupervised DRG upcoding detection in healthcare databases. In: Wei Fan, Wynne Hsu, Geoffrey I. Webb, Bing Liu, Chengqi Zhang, Dimitrios Gunopulos, Xindong Wu and Lisa O’Conner, Proceedings: 10th IEEE International Conference on Data Mining Workshops (ICDMW 2010). IEEE International Conference on Data Mining, Sydney, NSW, Australia, (600-605). 14-17 December 2010. doi:10.1109/ICDMW.2010.108

  • Luo, Wei, Gallagher, Marcus, O'Kane, Di, Connor, Jason, Dooris, Mark, Roberts, Col, Mortimer, Lachlan and Wiles, Janet (2010). Visualising a state-wide patient data collection: A case study to expand the audience for healthcare data. In: Anthony Maeder, David Hansen, Vladimir Estivill-Castro and Simeon J. Simoff, Conferences in Research and Practice in Information Technology. Health Informatics and Knowledge Management 2010: Proceedings of the Fourth Australasian Workshop on Health Informatics and Knowledge Management (HIKM 2010). HIKM 2010: 4th Australasian Workshop on Health Informatics and Knowledge Management, Brisbane, Australia, (45-52). 18-21 January 2010.

  • Morgan, Rachael and Gallagher, Marcus (2010). When does dependency modelling help? Using a randomized landscape generator to compare algorithms in terms of problem structure. In: Robert Schaefer, Carlos Cotta, Joanna Kołodziej and Günter Rudolph, Proceedings of: Parallel Problem Solving from Nature – PPSN XI. 11th International Conference. Part 1. Parallel Problem Solving from Nature, Kraków, Poland, (94-103). 11-15 September 2010. doi:10.1007/978-3-642-15844-5_10

  • Yuan, Bo and Gallagher, Marcus (2009). An improved small-sample statistical test for comparing the success rates of evolutionary algorithms. In: Proceedings of the 11th Annual Genetic and Evolutionary Computation Conference, GECCO-2009. 11th Annual Genetic and Evolutionary Computation Conference, GECCO-2009, Montreal, QC, Canada, (1879-1880). 8-12 July 8 2009. doi:10.1145/1569901.1570213

  • Gallagher, Marcus (2009). Black-box optimization benchmarking: results for the BayEDAcG algorithm on the noiseless function testbed. In: Proceedings of the 11th Annual Conference Companion on Genetic and Evolutionary Computation Conference: Late Breaking Papers. 11th Annual Conference Companion on Genetic and Evolutionary Computation Conference (GECCO'09), Montreal, Canada, (2383-2388). 8-12 July 2009. doi:10.1145/1570256.1570332

  • Yuan, Bo and Gallagher, Marcus (2009). Convergence analysis of UMDAc with finite populations: A case study on flat landscapes. In: Franz Rothlauf and Günther Raidl, Proceedings of the 11th Annual Genetic and Evolutionary Computation Conference, GECCO-2009. 11th Annual Genetic and Evolutionary Computation Conference, GECCO-2009, Montréal, QC, Canada, (477-482). 8-12 July 2009. doi:10.1145/1569901.1569967

  • Marcus Gallagher (2009). Investigating circles in a square packing problems as a realistic benchmark for continuous metaheuristic optimization algorithms. In: Proceedings of the VIII Metaheuristic International Conference (MIC 2009). The VIII Metaheuristic International Conference MIC 2009, Hamburg, Germany, (). 13-16 July, 2009.

  • Yeh, F.Y-H. and Gallagher, M. (2008). An empirical study of the sample size variability of optimal active learning using Gaussian process regression. In: Hou, Z-G. and Zhang, N., Proceedings of the IEEE International Joint Conference on Neural Networks, 2008. IJCNN 2008. IEEE World Congress on Computational Intelligence, Hong Kong, (3787-3794). 1-6 June 2008. doi:10.1109/IJCNN.2008.4634342

  • Wirth, N. and Gallagher, M. (2008). An influence map model for playing Ms. Pac-Man. In: P. Hingston and L. Barone, Computational Intelligence and Games 2008. IEEE Symposium on Computational Intelligence and Games 2008 (CIG '08), Perth, Australia, (228-233). 15-18 December 2008. doi:10.1109/CIG.2008.5035644

  • McPartland, M. and Gallagher, M. (2008). Creating a multi-purpose first person shooter bot with reinforcement learning. In: P. Hingston and L. Barone, Computational Intelligence and Games 2008. IEEE Symposium on Computational Intelligence and Games 2008 (CIG '08), Perth, Australia, (143-150). 15-18 December 2008. doi:10.1109/CIG.2008.5035633

  • Kumar, N. and Gallagher, M. (2008). Gaussian mixture models in estimations of distribution algotithms: Implementation details and experimental analysis. In: Suzanne Sadedin, Greg Paperin and Tania G.Leishman, Proceedings of the 12th Asia Pacific Symposium on Intelligent and Evolutionary Systems (IES'08). 12th Asia-Pacific Symposium on Intelligent and Evolutionary Systems (IES'08), Melbourne, Australia, (51-61). 7-8 December 2008.

  • McPartland, M. and Gallagher, M. (2008). Learning to be a Bot: Reinforcement learning in shooter games. In: Darken, C. and Mateas, M., Proceedings, the Fourth Artificial Intelligence and interactive Digital Entertainment Conference. 4th Artifical Intelligence for Interactive Digital Entertainment Conference, Stanford, California, (78-83). 22-24 October, 2008.

  • Maetschke, S., Gallagher, M. and Boden, M. (2007). A comparison of sequence kernels for localization prediction of transmembrane proteins. In: D. Fogel, Computational Intelligence in Bioinformatics and Computational Biology 2007 (CIBCB 2007). IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology 2007 (CIBCB 2007), Honolulu, Hawaii, (367-372). 1-5 April 2007.

  • Connelly, S., Lindsay, P. A. and Gallagher, M. (2007). An agent based approach to examining shared situation awareness. In: B. Werner, Engineering Complex Computer Systems 2007. 12th IEEE International Conference on Engineering Complex Computer Systems (ICECCS 2007), Auckland, New Zealand, (138-147). 11-14 July 2007. doi:10.1109/ICECCS.2007.14

  • Gallagher, M. R., Wood, I., Keith, J. and Sofronov, G. (2007). Bayesian inference in estimation of distribution algorithms. In: K. C. Tan, Evolutionary Computation 2007 (CEC 2007). IEEE Congress on Evolutionary Computation (CEC 2007), Singapore, (127-133). 25-28 September 2007. doi:10.1109/CEC.2007.4424463

  • Yuan, Bo and Gallagher, Marcus (2007). Combining Meta-EAs and racing for difficult EA parameter tuning tasks. In: Lobo, FG, Lima, CF and Michalewicz, Z, Workshop on Parameter Setting in Genetic and Evolutionary Algorithms, Washington Dc, (121-+). 2005.

  • Gallagher, M. and Ledwich, M. (2007). Evolving pac-man players: Can we learn from raw input?. In: Fogel, D., Proceedings of the 2007 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2007). 2007 IEEE Symposium Series on Computational Intelligence and Games (IEEE SSCI 2007), Honolulu, Hawaii, (282-287). 1-5 April, 2007. doi:10.1109/CIG.2007.368110

  • Gallagher, M. R. and Yuan, B. (2006). A mathematical modelling technique for the analysis of the dynamics of a simple continuous EDA. In: G. G. Yen and S. M. Lucas, 2006 IEEE Congress on Evolutionary Computation. 2006 IEEE Congress on Evolutionary Computation (CEC 2006), Vancouver, Canada, (1585-1591). 16-21 July 2006. doi:10.1109/CEC.2006.1688497

  • Maetschke, S. R., Boden, M B and Gallagher, M R (2006). Higher order HMMs for localization prediction of transmembrance proteins. In: M. Boden and T. Bailey, Proceedings of the 2006 Workshop on Intelligent Systems for Bioinformatics (WISB 2006). 2006 Workshop on Intelligent Systems for Bioinformatics (WISB 2006), Hobart, Australia, (49-53). 4 December, 2006.

  • Yuan, B. and Gallagher, M. R. (2005). A hybrid approach to parameter tuning in genetic algorithms. In: B. Mckay, 2005 IEEE Congress on Evolutionary Computation. 2005 IEEE Congress on Evolutionary Computation (IEEE CEC 2005), Edinburgh, Scotland, (1096-1103). 2-5 September 2005.

  • Yeh, Y. and Gallagher, M. R. (2005). An empirical study of Hoelfding Racing for model selction in K-nearest neighbor classification. In: M. Gallagher, J. Hogan and F. Maire, Intelligent Data Engineering and Automated Learning - IDEAL2005: Proceedings of the 6th International Conference. Intelligent Data Engineering and Automated Learning - IDEAL205, Brisbane, Australia, (220-227). 6-8 July, 2005.

  • Yuan, B. and Gallagher, M. R. (2005). Experimental results for the special session on real-parameter optimization at CEC 2005: A Simple, Continuous EDA. In: B. Mckay, 2005 IEEE Congress on Evolutionary Computation. 2005 IEEE Congress on Evolutionary Computation (IEEE CEC 2005), Edinburgh, Scotland, (1792-1799). 2-5 September, 2005.

  • Yuan, B., Gallagher, M. R. and Crozier, S. (2005). MRI magnet design: Search space analysis, EDAs and a real-world problem with significant dependencies. In: H-G. Beyer, U. O'Reilly and et al, Proceedings of the Genetic and Evolutionary Computation Conference - GECCO 2005. 7th Annual Genetic and Evolutionary Computation Conference - GELCCO 2005, Washington DC, USA, (2141-2148). 25-29 June, 2005. doi:10.1145/1068009.1068362

  • Yuan, B. and Gallagher, M. R. (2005). On the importance of diversity maintenance in estimation of distribution algorithms. In: H-G Beyer and U. O'Reilly et al., Proceedings of the Genetic and Evolutionary Computation Conference GECCO 2005. 7th Annual Genetic and Evolutionary Computation Conference GECCO 2005, Washington DC, USA, (719-726). 25-29 June, 2005. doi:10.1145/1068009.1068129

  • Rohde, D. J., Drinkwater, M. J., Gallagher, M. R., Downs, T. and Doyle, M. T. (2004). Machine learning for matching astronomy catalogues. In: Zheng Rong Yang, Richard M. Everson and Hujun Yin, Intelligent Data Engineering and Automated Learning: IDEAL 2004. The Fifth International Intelligent Data Engineering and Automated Learning Conference (IDEAL 2004), Exeter, U.K., (701-707). 25-27 August 2004.

  • Yuan, B. and Gallagher, M. R. (2004). Statistical racing techniques for improved empirical evaluation of evolutionary algorithms. In: X. Yao, E. Burke, J. A. Lozano, J. Smith, J. J. Merelo-Guervós, J. A. Bullinaria, J. Rowe, P. Tino, A. Kabán and H.-P. Schwefel, Parallel Problem Solving from Nature: PPSN VIII. The Eighth International Conference on Parallel Problem Solving from Nature, Birmingham, U.K., (172-181). 18-22 September 2004.

  • Leong, W. Y., Homer, J. P. and Gallagher, M. R. (2003). Blind separation of noisy mixtures using the SAND algorithm. In: B. Wysocki and T. Wysocki, Proceedings of the Seventh International Symposium on DSP for Communication System and the Second Workshop on the Internet, Telecommunication and Signal Processing. The Seventh International Symposium on DSP for Communication System and the Second Workshop on the Internet, Telecommunication and Signal Processing, Coolangatta, (503-508). 8-11 Decmber, 2003.

  • Gallagher, M. R. and Ryan, A. J. (2003). Learning to play Pac-Man: An evolutionary, rule-based approach. In: R. Sarker, R. Reynolds and H. Abbass, 2003 Congress on Evolutionary Computation. The 2003 Congress on Evolutionary Computation (CEC 2003), Canberra, Australia, (2462-2469). 8-12 December 2003. doi:10.1109/CEC.2003.1299397

  • Yuan, B. and Gallagher, M. R. (2003). On building a principled framework for evaluating and testing evolutionary algorithms: A continuous landscape generator. In: R. Sarker, R. Reynolds and H. Abbass, 2003 Congress on Evolutionary Computation. The 2003 Congress on Evolutionary Computation (CEC '03), Canberra, Australia, (451-458). 8-12 December 2003. doi:10.1109/CEC.2003.1299610

  • Yuan, B. and Gallagher, M. R. (2003). Playing in continuous spaces: Some analysis and extension of population-based incremental learning. In: R. Sarker, R. Reynolds and H. Abbass, 2003 Congress on Evolutionary Computation. 2003 Congress on Evolutionary Computation (CEC '03), Canberra, Australia, (443-450). 8-12 December 2003. doi:10.1109/CEC.2003.1299609

  • Gallagher, M. R. and Deacon, P. (2002). Neural networks and the classification of mineralogical samples using x-ray spectra. In: L. Wang, J. Rajapaske, K. Fukushima, S. Lee and X. Yao, Proceedings of the Ninth International Conference on Neural Information Processing. Ninth International Conference on Neural Information Processing, Singapore, (2683-2687). 18-22 November, 2002. doi:10.1109/ICONIP.2002.1201983

  • Gallagher, M. R. (2001). Fitness distance correlation of neural network error surfaces: A scalable, continuous optimization problem. In: L. De Raedt and P. Flach, Proceedings of the Twelfth European Conference on Machine Learning. Twelfth European Conference on Machine Learning, Freiburg, Germany, (157-166). 3-7 September, 2001.

  • Gallagher, M. R. (2000). An empirical investigation of the user-parameters and performance of continuous PBIL algorithms. In: B. Widrow et al, Neural Networks for Signal Processing X: NNSP 2000. NNSP 2000, Sydney, (702-710). 11-13 December 2000.

  • Gallagher, M., Frean, M. and Downs, T. (1999). Real-valued evolutionary optimization using a flexible probability density estimator. In: W. Banzhaf, J.. Daida, A. E. Eiben, M. H. Garzon, V. Honavar, M. Jakiela and R. E. Smith, Proceedings of the Genetic and Evolutionary Computation Conference. GECCO-99, Orlando, Florida, (840-846). 13-17 July, 1999.

Edited Outputs

  • Intelligent Data Engineering and Automated Learning - IDEAL2005 (2005) . Edited by Marcus Gallagher, James Hogan and Frederic Maire. 6th International Conference on Intelligent Data Engineering and Automated Learning - IDEAL 2005: Lecture Notes in Computer Science (journal), 6-8 July 2005, Brisbane, Australia.

Other Outputs

  • Gallagher, M. R. (2005) McCulloch-Pitts Network in A. Scott (eds.) Encyclopedia of Nonlinear Science. 1st USA: Routledge (Taylor & Francis Group)

  • Gallagher, M. R. (2005) Perceptron in A. Scott (eds.) Encyclopedia of Nonlinear Science. 1st USA: Routledge (Taylor & Francis Group)

  • Gallagher, Marcus Reginald (2000). Multi-layer Perceptron Error Surfaces: Visualization, Structure and Modelling PhD Thesis, Computer Science and Electrical Engineering, University of Queensland.

PhD and MPhil Supervision

Current Supervision

  • Doctor Philosophy — Principal Advisor

  • Doctor Philosophy — Principal Advisor

    Other advisors:

  • Doctor Philosophy — Principal Advisor

  • Doctor Philosophy — Principal Advisor

  • Doctor Philosophy — Principal Advisor

  • Master Philosophy — Principal Advisor

    Other advisors:

  • Doctor Philosophy — Principal Advisor

    Other advisors:

  • Doctor Philosophy — Associate Advisor

  • Doctor Philosophy — Associate Advisor

    Other advisors:

Completed Supervision