Dr Julia Handl

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Position: Lecturer in Decision Sciences
Academic unit: Management Sciences and Marketing
 

Biography

I am a lecturer in the Decision and Cognitive Sciences Group in the Manchester Business School. Prior to this (April 2007 - June 2011), I was an MRC Special Training Fellow in Bioinformatics in the Faculty of Life Sciences at the University
of Manchester and I spent six months as a visiting researcher at the University of Washington, Seattle (in 2009). I hold a PhD degree from the University of Manchester (2006), a Masters degree from the University of Erlangen-Nuremberg (2003), and an Honours degree from Monash University, Melbourne (2001).

My expertise lies in the areas of optimization, data-mining and machine learning and I have a keen interest in the development and use of these techniques in challenging application areas. The multi-faceted nature of real-world problems implies that they are most suitably represented as multi-criterion problems and I am interested in the ways this affects problem definitions and solutions. My publications span both theoretical and empirical work related to the multiobjective formulation of a variety of different problems including unsupervised clustering, semi-supervised classification, feature selection and protein structure prediction. In considering these problems, I have looked at the effect of multiobjective formulations at a variety of different levels. This has included the effects on the accuracy of the problem definition, but also on the difficulty of the search and the resulting changes in the performance of optimization methods. Furthermore, I am interested in the properties of the sets of Pareto optimal solutions obtained and the design of suitable strategies to support decision makers in selecting a final solution.

Research Interests

My research interests include:

- data-mining
- machine learning
- optimization
- multiobjective optimization
- multicriterion decision making
- computational biology
- computational protein structure prediction

I am also very interested in public communication
of science.

Research Group(s)

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Working papers

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Showing 45 publication(s)

2016

  • Kandathil, S. M., Lovell, S. C., & Handl, J. (2016). Toward a detailed understanding of search trajectories in fragment assembly approaches to protein structure prediction. Proteins: Structure, Function and Bioinformatics, 84(4), 411-26. DOI: 10.1002/prot.24987. Publication link: a57ace85-7389-4273-aee1-0f743e8a2e55 | PubMed:26799916
  • Diaz, J. E., Handl, J., & Xu, D. (2016). Evolutionary Robust Optimization in Production Planning - Interactions between Number of Objectives, Sample Size and Choice of Robustness Measure. Computers and Operations Research. DOI: 10.1016/j.cor.2016.06.020. Publication link: f7f88580-485a-42be-a94f-2ecf055a8d21

2015

  • Lu, E., & Handl, J. (2015). Multicriterion Segmentation of Demand Markets to Increase Forecasting Accuracy of Analogous Time Series: A First Investigation. In Lecture Notes in Computer Science, Volume 9108. (pp. 379-388). Publication link: 7f69b80b-2347-44dc-8cb5-c3b783756495
  • Handl, J., & Knowles, J. (2015). Nature-inspired Clustering Approaches. In Handbook of Cluster Analysis: Handbooks of Modern Statistical Methods. Chapman & Hall/CRC. . Publication link: 5d78d637-cf94-44d2-a1c3-005a3fffd1ea
  • Diaz, J. E., & Handl, J. (2015). Implicit and Explicit Averaging Strategies for Simulation-Based Optimization of a Real-World Production Planning Problem.Informatica, 39(2). . Publication link: 34f25a17-bdae-48b2-9d33-9f13b84d604d
  • Khan, R., Yang, J-B., & Handl, J. (2015). Interactive multi-objective vehicle routing via GA-based dynamic programming. In host publication.. Publication link: c2752d06-7a5d-4f9a-b1ba-622ac1e7f4b8

2013

  • Aler, R., Handl, J., & Knowles, J. D. (2013). Comparing multi-objective and threshold-moving ROC curve generation for a prototype-based classifier. In GECCO 2013 - Proceedings of the 2013 Genetic and Evolutionary Computation Conference|GECCO - Proc. Genet. Evol. Comput. Conf.. (pp. 1029-1036). ACM. DOI: 10.1145/2463372.2463504. Publication link: ca926e7b-0785-470e-8424-d568b19a74ba

2012

  • Handl, J., & Knowles, J. (2012). Clustering criteria in multiobjective data clustering. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|Lect. Notes Comput. Sci.. (Vol. 7492, pp. 32-41). Berlin/Heidelberg: Springer Verlag. DOI: 10.1007/978-3-642-32964-7_4. Publication link: 426a48da-a867-499e-b7b0-c42b668c571c
  • Handl, J., Knowles, J., Vernon, R., Baker, D., & Lovell, S. C. (2012). The dual role of fragments in fragment-assembly methods for de novo protein structure prediction. Proteins: Structure, Function and Bioinformatics, 80(2), 490-504. DOI: 10.1002/prot.23215. Publication link: e66c0808-f825-4f79-8bd8-9ea987d9d7d9

2010

  • Adiamah, D., Handl, J., & Schwartz, J. M. (2010). Generic dynamic modeling of metabolic systems. In Proceedings Dynamic Days South America 2010: International Conference on Chaos and Nonlinear Dynamics.. Publication link: 0c05db26-7ec0-47e3-a8d3-ce52d1d62f9b

2009

2008

  • Handl, J., & Knowles, J. (2008). Modes of Problem Solving with Multiple Objectives: Implications for Interpreting the Pareto Set and for Decision Making. In Multiobjective Problem Solving from Nature. (pp. 131-151). Springer Verlag. DOI: 10.1007/978-3-540-72964-8_7. Publication link: 572ac705-ecf2-4de2-aa2b-4d485a49efbd
  • Handl, J., Lovell, S. C., & Knowles, J. (2008). Multiobjectivization by decomposition of scalar cost functions. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|Lect. Notes Comput. Sci.. (Vol. 5199, pp. 31-40). Berlin Heidelberg: Springer Verlag. DOI: 10.1007/978-3-540-87700-4_4. Publication link: a306ec49-1e48-4689-a365-1e22ce05c548
  • Handl, J., Lovell, S. C., & Knowles, J. (2008). Multiobjectivization by decomposition of scalar cost functions. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 5199, 31-40. DOI: 10.1007/978-3-540-87700-4_4. Publication link: 0f539a35-efdd-4269-b98c-e3c5f45c633b
  • Handl, J., Lovell, S. C., & Knowles, J. (2008). Investigations into the effect of multiobjectivization in protein structure prediction. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|Lect. Notes Comput. Sci.. (Vol. 5199, pp. 702-711). Berlin Heidelberg: Springer Verlag. DOI: 10.1007/978-3-540-87700-4_70. Publication link: d1432aec-3a3b-406e-a0d1-101299802596
  • Handl, J., Lovell, S. C., & Knowles, J. (2008). Investigations into the effect of multiobjectivization in protein structure prediction. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 5199, 702-711. DOI: 10.1007/978-3-540-87700-4_70. Publication link: f392f90e-b90b-4c27-8b06-23251ae86c09

2007

2006

  • Handl, J., & Knowles, J. (2006). Representations, Operators, and Empirical Evaluation-An Investigation of Representations and Operators for Evolutionary Data Clustering with a Variable Number of Clusters. In Lecture Notes in Computer Science. (Vol. 4193, pp. 839-849). Berlin: Springer-Verlag, 1973-. . Publication link: e6e5cfc2-4bdd-4e9f-9ac5-023b36c40a4d
  • Handl, J., & Knowles, J. (2006). An investigation of representations and operators for evolutionary data clustering with a variable number of clusters. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|Lect. Notes Comput. Sci.. (Vol. 4193, pp. 839-849). Springer Verlag. . Publication link: bce8cfc4-cf9b-4ee3-b083-c8dc1e2dba87

2005

  • Handl, J., & Knowles, J. (2005). Exploiting the trade-off - The benefits of multiple objectives in data clustering. In C. A. Coello Coello, A. Hernandez Aguirre, & E. Zitzler (Eds.), Lecture Notes in Computer Science|Lect. Notes Comput. Sci.. (Vol. 3410, pp. 547-560). (LNCS). Springer Verlag. . Publication link: 0ba5a38f-657f-447a-8254-0124b958c525
  • Handl, J., & Knowles, J. (2005). Multiobjective clustering around medoids. In 2005 IEEE Congress on Evolutionary Computation, IEEE CEC 2005. Proceedings|Congr. Evol. Comput. Proc.. (Vol. 1, pp. 632-639). Publication link: 682866ad-32ce-44e8-af68-1de2e16b61a6
  • Handl, J., & Knowles, J. (2005). Improvements to the scalability of multiobjective clustering. In 2005 IEEE Congress on Evolutionary Computation, IEEE CEC 2005. Proceedings|Congr. Evol. Comput. Proc.. (Vol. 3, pp. 2372-2379). Publication link: 8b588ef6-5c61-4e64-af72-f1394fe0843d
  • Handl, J., & Knowles, J. (2005). Exploiting the trade-off - The benefits of multiple objectives in data clustering. In C. A. Coello Coello, A. Hernandez Aguirre, & E. Zitzler (Eds.), Lecture Notes in Computer Science|Lect. Notes Comput. Sci.. (Vol. 3410, pp. 547-560). Springer Verlag. . Publication link: eb19ed16-f7d5-4bfe-8379-a9d854892b06

2004

  • Handl, J., & Knowles, J. (2004). Evolutionary multiobjective clustering. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|Lect. Notes Comput. Sci.. (Vol. 3242, pp. 1081-1091). Springer Verlag. . Publication link: d365fd4a-d012-4877-b1fb-be6767f31ffa
  • Handl, J., Knowles, J., & Dorigo, M. (2004). Strategies for the increased robustness of ant-based clustering. In Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)|Lect Notes Artif Intell. (Vol. 2977, pp. 90-104). (LNCS). Springer-Verlag Heidelberg. . Publication link: fda8de6b-afaa-4e8e-823b-420b73da6a70
  • Handl, J., & Knowles, J. (2004). Evolutionary multiobjective clustering. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|Lect. Notes Comput. Sci.. (Vol. 3242, pp. 1081-1091). (LNCS). Springer Verlag. . Publication link: 547589f1-f49b-457e-8072-81b59482e284
  • Handl, J., Knowles, J., & Dorigo, M. (2004). Strategies for the increased robustness of ant-based clustering. In Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)|Lect Notes Artif Intell. (Vol. 2977, pp. 90-104). Springer Verlag. . Publication link: 3af892cb-618e-4ca7-9c65-5d618a23bf44

2003

  • Handl, J., Knowles, J., & Dorigo, M. (2003). Ant-based clustering: a comparative study of its relative performance with respect to k-means, average link and 1d-som. In Design and Application of Hybrid Intelligent Systems. (pp. 204-213). Citeseer. . Publication link: b70dbded-bce3-4090-82a9-79ff7f36f392
  • Handl, J., Knowles, J., & Dorigo, M. (2003). On the performance of ant-based clustering. In Proc. of the 3rd Int. Conf. on Hybrid Intelligent Systems. Citeseer. . Publication link: 1fca35fa-6eca-43aa-bc11-456b0ab87b0d

2002

  • Handl, J., & Meyer, B. (2002). Improved ant-based clustering and sorting in a document retrieval interface. In Parallel Problem Solving from Nature, PPSN VII. (pp. 913-923). Springer Verlag. . Publication link: ef531dac-7fea-4466-81c4-72afec214969