Contact details

Pekka Malo, Ph.D. (econ), M.Sc. (math)
Assistant Professor of Statistics
Department of Information and Service Economy
Aalto University School of Business

Office address:
Chydenia, 4th floor, Room CG-4.18
Runeberginkatu 22-24
Helsinki 00100
Finland

Phone: +358403538071
Email: pekka.malo@aalto.fi

Research interests

• Machine learning and artificial intelligence
• Evolutionary computation
• Semantic information retrieval
• Statistical natural language processing
• Multiobjective optimization

News

• 31st European Meeting of Statisticians (EMS) 2017 is organized at Helsinki, July 24-28

Professional activity

• Member of the Institute of Electrical and Electronics Engineers (IEEE)
• Member of the Institute for Operations Research and the Management Sciences (INFORMS)
• Member of the IEEE Computational Intelligence Society
• Reviewer in journals: IEEE Transactions on Evolutionary Computation; IEEE Transactions on Knowledge and Data Engineering, Journal of the American Society for Information Science and Technology; ACM Transactions on the Web; Physica A; Expert Systems with Applications; Simulation & Gaming; Electronic Commerce Research Journal; International Journal of Information Technology & Decision Making; Annals of Operations Research

Currently teaching

• 30E03000 - Data Science for Business I
• 30E03500 - Data Science for Business II

Publications

Working papers

• Malo, P., Viitasaari, L., Gorskikh, O., Ilmonen, P. (2018): "Non-parametric Structural Change Detection in Multivariate Systems." [arXiv:1805.08512]

Journal publications

• Sinha, A., Malo, P. and Kallio, M. (2018): “Convex Preference Cone-based Approach for Many Objective Optimization Problems.” Computers & Operations Research. (forthcoming)
• Pajala, T., Korhonen, P., Malo, P., Sinha, A., Wallenius, J., and A. Dehnokhalaji (2018): "Accounting for Political Opinions, Power, and Influence: A Voting Advice Application". European Journal of Operational Research, 266(2), pp. 702-715.
• Korhonen, P., Malo, P., Pajala, T., Ravaja, N., Somervuori, O., Wallenius, J. (2018): "Context Matters: The Impact of Product Type, Emotional Attachment and Information Overload on Choice Quality". European Journal of Operational Research, 264(1), pp. 270-279.
• Sinha, A., Malo, P. and Deb, K. (2018): "A Review on Bilevel Optimization: From Classical to Evolutionary Approaches and Applications". IEEE Transactions on Evolutionary Computation. (forthcoming)
• Bragge, J., Kallio, H., Seppälä, T., Lainema, T. and Malo, P. (2017): “Decision-making in a Real-time Business Simulation Game: Cultural Aspects in Small Group Dynamics.” International Journal of Information Technology & Decision Making, 16(3), pp. 779–815.
• Sinha, A., Malo, P. and Deb, K. (2017): "Evolutionary Algorithm for Bilevel Optimization using Approximations of the Lower Level Optimal Solution Mapping". European Journal of Operational Research, 257(2), pp. 395-411.
• Sinha, A., Malo, P. and Deb, K. (2017): "Approximated Set-valued Mapping Approach for Handling Multiobjective Bilevel Problems". Computers & Operations Research, 77, pp. 194-209.
• Sinha, A., Rämö, J., Malo, P., Kallio, M. and Tahvonen, O. (2017): "Optimal Management of Naturally Regenerating Uneven-aged Forests". European Journal of Operational Research, 256(3), pp. 886-900.
• Sinha, A., Malo, P., Deb, K., Korhonen, P. and Wallenius, J. (2016): “Solving Bilevel Multi-criterion Optimization Problems with Lower Level Decision Uncertainty”. IEEE Transactions on Evolutionary Computation, 20(2), pp. 199-217.
• Sinha, A., Malo, P. and Kuosmanen, T. (2015): “A Multi-objective Exploratory Procedure for Regression Model Selection”. Journal of Computational and Graphical Statistics, vol. 24(1), pp. 154-182.
• Sinha, A., Malo, P. and Deb, K. (2014): “Test Problem Construction for Single-Objective Bilevel Optimization“. Evolutionary Computation Journal, vol. 22(3), pp. 439-477.
• Malo, P., Sinha, A., Takala, P., Korhonen, P. and Wallenius, J. (2014): "Good debt or bad debt: Detecting semantic orientations in economic texts." Journal of the Association for Information Science and Technology, vol. 65(4), pp. 782-796.
• Sinha, A., Malo, P., Frantsev, A. and Deb, K. (2014): “Finding Optimal Strategies in Multi-Period Multi-Leader-Follower Stackelberg Games Using an Evolutionary Framework.” Computers & Operations Research, vol. 41, pp. 374-385.
• Malo, P., Siitari, P. and Sinha, A. (2013): “Automated Query Learning with Wikipedia and Genetic Programming”. Artificial Intelligence, vol. 194, pp. 86--110.
• Malo, P. and Pennanen, T. (2012): “Reduced form modeling of limit order markets”. Quantitative Finance, vol. 12(7), pp. 1025–1036.
• Malo, P., Sinha, A., Wallenius, J. and Korhonen, P. (2011): “Concept-based Document Classification Using Wikipedia and Value Function”. Journal of the American Society for Information Science and Technology, vol. 62(12), pp. 2496-2511.
• Malo, P. (2009): “Modeling electricity spot and futures price dependence: A multifrequency approach”. Physica A, vol. 388(22), pp. 4763–4779.
• Andreev, A., Kanto, A., and Malo, P. (2007): “Computational Examples of a new method for distribution selection in the Pearson System”. Journal of Applied Statistics, vol. 34(4), pp. 487–506.
• Malo, P. and Kanto, A. (2006): “Evaluating Multivariate GARCH models in the Nordic Electricity Markets”. Communications in Statistics: Simulation and Computation, vol. 35(1), pp. 117--148.

Conference proceedings

• Upreti, B., Merikivi, J., Bragge, J., and Malo, P. (2017): “Analyzing the ways IT has changed our TV consumption: Binge Watching and Marathon Watching”. In: International Conference on Information Systems (ICIS-2017).
• Gorskikh, O., Malo, P., and Ilmonen, P. (2017): “Nonparametric Splitting Algorithm for Detecting Structural Changes in Predictive Relationships”. In: International Conference On Computing and Data Analysis (ICCDA-2017). ACM.
• Suryan, V., Sinha, A., Malo, P., and Deb, K. (2016): “Handling Inverse Optimal Control Problems using Evolutionary Bilevel Optimization.” In: Proceedings of IEEE World Congress on Computational Intelligence (WCCI-2016), pp.1893-1900.
• Sinha, A., Malo, P., and Deb, K. (2016): “Solving Optimistic Bilevel Programs by Iteratively Approximating Lower Level Optimal Value Function.” In: Proceedings of IEEE World Congress on Computational Intelligence (WCCI-2016), pp. 1877-1884.
• Upreti, B., Asatiani, A., and Malo, P. (2016): “To Reach The Clouds: Application of Topic Models to the Meta-review on Cloud Computing Literature.” In: Proceedings of Annual Hawaii International Conference on Systems Sciences (HICSS-2016), pp. 3979-3988.
• Malo, P., Aspara, J., Luo, X., and Sinha, A. (2015): "High-Volume Business News: Detecting Topic-Specific Sentiments to Account for Brand Ratings and Stock Returns." In: Proceedings, Marketing Strategy Meets Wall Street IV Conference. Singapore Management University, Marketing Strategy Meets Wall Street Conference, Singapore, Singapore, 08.01.2015.
• Sinha, A., Malo, P., and Deb, K. (2015): “Towards Understanding Bilevel Multi-objective Optimization with Deterministic Lower Level Decisions.” In: Proceedings of Evolutionary Multicriterion Optimization (EMO-2015), Lecture Notes in Computer Science Volume 9018, 2015, pp. 426–443.
• Porokka, A., Sinha, A., Malo, P., and Deb, K. (2015): “Unconstrained Robust Optimization using a Descent-based Crossover Operator.” In: Proceedings of IEEE Congress on Evolutionary Computation (CEC-2015).
• Sinha, A., Malo, P., and Deb, K. (2015): “Transportation Policy Formulation as a Multi-objective Bilevel Optimization Problem.” To appear in: IEEE Congress on Evolutionary Computation (CEC-2015).
• Sinha, A., Malo, P., Xu, P., and Deb, K. (2014): “A Bilevel Optimization Approach to Automated Parameter Tuning.” In: Proceedings of the 16th Annual Genetic and Evolutionary Computation Conference (GECCO-2014), pp. 847–854. ACM New York, NY, USA.
• Sinha, A., Malo, P. and Deb, K. (2014): “An Improved Bilevel Evolutionary Algorithm based on Quadratic Approximations.” In: IEEE Congress on Evolutionary Computation (CEC-2014), pp. 1870–1877. IEEE Press.
• Takala, P., Malo, P., Sinha, A., and Ahlgren, O. (2014): “Gold-standard for topic-specific sentiments in economic texts.” In: Proceedings of the 9th edition of the Language Resources and Evaluation Conference (LREC-2014), 26-31 May, Reykjavik, Iceland.
• Malo, P., Sinha, A., Takala, P., Ahlgren, O. and Lappalainen, I. (2013): "Learning the Roles of Directional Expressions and Domain Concepts in Financial News Analysis." In: Proceedings of IEEE International Conference on Data Mining Workshops (SENTIRE-2013). IEEE Press.
• Sinha, A., Malo, P., Frantsev, A. and Deb, K. (2013) : “Multi-objective Stackelberg Game Between a Regulating Authority and a Mining Company: A Case Study in Environmental Economics“. In: Proceedings of IEEE Congress on Evolutionary Computation (CEC-2013). IEEE Press.
• Frantsev, A., Sinha, A. and Malo, P. (2012): “Finding Optimal Strategies in Multi-period Stackelberg Games Using an Evolutionary Framework”. In: Proceedings of IFAC Workshop on Control Applications of Optimization (IFAC-2012).
• Sinha, A., Malo, P. and Deb, K. (2012): “Unconstrained Scalable Test Problems for Single-Objective Bilevel Optimization”. In: Proceedings of IEEE Congress on Evolutionary Computation (CEC-2012), IEEE Press.
• Ahlgren, O., Malo, P., Sinha, A., Wallenius, J. and Korhonen, P. (2011): “A Dimensionality Reduction Approach to Semantic Document Classification”. In: Proceedings of 2nd Workshop on Semantic Personalized Information Management: Retrieval and Recommendation (SPIM 2011) in conjunction with the 10th International Semantic Web Conference ISWC2011.
• Sinha, A., Kuosmanen, T. and Malo, P. (2011): “Estimation of Efficient Regression Model using a Multi-Objective Procedure”, In: Proceedings of Annual International Conference on Operations Research and Statistics (ORS 2011).
• Malo, P., Siitari, P., Ahlgren, O., Wallenius, J. and Korhonen, P. (2010): “Semantic Content Filtering with Wikipedia and Ontologies”. In: Proceedings of IEEE International Conference on Data Mining Workshops, 2010, pp. 518--526. (Best paper award in Semantic Aspects in Data Mining)

Visiting scholar

• 2013: Michigan State University, MI, USA. https://www.coin-laboratory.com
• 2012: The University of New South Wales, Canberra, Australia. Multidisciplinary Design Optimization Lab, http://www.mdolab.net

Talks and tutorials

• Sinha, A., Malo, P. and Deb, K. (2014): Tutorial on "Evolutionary Bilevel Optimization" by at PPSN 2014, September 13-17, Ljubljana, Slovenia.
• Sinha, A., Malo, P., and Deb, K. (2013): Tutorial on Bilevel Optimization at GECCO 2013, July 6-10, Amsterdam, Netherlands.
• Sinha, A., Malo, P., and Deb, K. (2013): “Evolutionary approaches to handling bilevel optimization problems” at BEACON Center, Michigan State University, February 2013, East Lansing, MI, USA.
• Malo, P., Sinha, A., Korhonen, P. and Wallenius, J. (2012): “Document Classification: A Many Criteria Optimization Problem”. Abstract published in: Proceedings of INFORMS 2012 Annual Meeting, Session on Decision-making and Optimization Problems with Many Criteria, Phoenix, AZ, October 14-17, 2012.
• Sinha, A., Malo, P. and Deb, K. (2012): “Preference-based Evolutionary Algorithm for Multi-objective Bilevel Optimization”. Abstract published in: 25th European Conference on Operational Research (EURO 2012), Session on Hybrid Evolutionary Multiobjective Optimization Algorithms, Vilnius, July 8-11, 2012.
• Malo, P., Sinha, A., Ahlgren, O., Wallenius, J. and Korhonen, P. (2011): “A Dimensionality Reduction Approach for Semantic Information Retrieval”. Abstract published in: Proceedings of The 21st International Conference on Multiple Criteria Decision Making (MCDM 2011), Session on Behavioral Issues in Multiple Criteria Decision Making, June 13-17, 2011.
• Sinha, A. and Malo, P. (2011): “Solving Bilevel Problems using an Evolutionary Approach”. Abstract published in: Proceedings of INFORMS 2011 Annual Meeting, Session on Multiobjective Programming, North Carolina, November 13-16, 2011.