Ankur Sinha

• Ph.D in Quantitative Methods (2008-2011)
  Aalto University School of Business, Helsinki Finland
  (Former Helsinki School of Economics)
  Received the best dissertation award for the year 2011
  
• B.Tech in Mechanical Engineering (2002-2006)
  Indian Institute of Technology, Kanpur India

• Bilevel Optimization
• Data Science for Business (Course material)

• Business Intelligence: Data analysis and decision making
• Optimization: Evolutionary algorithms and multi-level programming
• Big-data: Financial text mining and sentiment analysis 
  

• 2016 (Apr) - 2016 (Oct) Michigan State University, Visiting Faculty
• 2008-2015 Aalto University School of Business, Research Scholar (PhD and Postdoc)
• 2013 (Jan) - 2013 (Aug) Michigan State University, Visiting Scholar (Postdoc)
• 2007-2008 Idea Product Design, Design Engineer (Engineering Team)
• 2006-2007 Tata Steel, Manager (Coal and Coke)
  

1. A. Sinha, P. Malo and M. Kallio. Convex preference cone-based approach for many objective optimization problems, Computers and Operations Research, 2018 (Forthcoming).
2. P. Ramamoorthy, S. Jayaswal, A. Sinha, and N. Vidyarthi. Multiple Allocation Hub Interdiction and Protection Problems: Model Formulations and Solution Approaches. European Journal of Operational Research, 2018 (Forthcoming).
3. T. Pajala, P. Korhonen, P. Maloa, A. Sinh, J. Wallenius and A. Dehnokhalaji. Accounting for political opinions, power, and influence: A Voting Advice Application. European Journal of Operational Research, 266(2): 702-715, 2018.
4. A. Sinha, P. Malo, and K. Deb. A review on bilevel optimization: From classical to evolutionary approaches and applications. IEEE Transactions on Evolutionary Computation, 22(2): 276-295, 2018.
5. A. Sinha, P. Malo, K. Deb. Evolutionary Algorithm for Bilevel Optimization using Approximations of the Lower Level Optimal Solution Mapping. European Journal of Operational Research, 257(2):395–411, 2017.
6. A. Sinha, P. Malo, K. Deb. Approximated Set-valued Mapping Approach for Handling Multiobjective Bilevel Problems. Computers and Operations Research, 77:194–209, 2017.
7. A. Sinha, J. Rämö, P. Malo, M. Kallio, and O. Tahvonen. Optimal Management of Naturally Regenerating Uneven-aged Forests. European Journal of Operational Research, 256(3):886–900, 2017.
8. M. Islam, H. K. Singh, T. Ray and A. Sinha. A Memetic Algorithm for Single Objective Bilevel Optimization Problems. Evolutionary Computation Journal, 2016.
9. A. Sinha, P. Malo, K. Deb, P. Korhonen, and J. Wallenius. Solving bilevel multi-criterion optimization problems with lower level decision uncertainty. IEEE Transactions on Evolutionary Computation, 20(2):199-217, 2016.
   
10. A. Sinha, P. Korhonen, and J. Wallenius. Finding better alternatives than those considered in a multicriteria data sample. Journal of Business Economics (Zeitschrift für Betriebswirtschaft), 86(1):35-54, 2016.
11. A. Sinha, P. Malo, and T. Kuosmanen. A multi-objective exploratory procedure for regression model selection. Journal of Computational and Graphical Statistics, 24(1):154-182, 2015.
12. A. Sinha, P. Malo, and K. Deb. Test problem construction for single-objective bilevel optimization. Evolutionary Computation Journal, 22(3):439-477, 2014.
    
13. P. Malo, A. Sinha, P. Takala, P. Korhonen, and J. Wallenius. Good debt or bad debt: Detecting semantic orientations in economic texts. Journal of the American Society for Information Science and Technology, 65(4):782-796, 2014.
    
14. A. Sinha, D. K. Saxena, K. Deb, and A. Tiwari. Using objective reduction and interactive procedure to handle many-objective optimization problems. Applied Soft Computing, 13(1):415-427, 2013.
15. A. Sinha, P. Malo, A. Frantsev, and K. Deb. Finding optimal strategies in a multi-period multi-leader-follower stackelberg game using an evolutionary algorithm. Computers & Operations Research, 41:374-385, 2014.
    
16. A. Sinha, K. Deb, P. Korhonen, and J. Wallenius. An interactive evolutionary multi-objective optimization algorithm with a limited number of decision maker calls. European Journal of Operational Research, 233(3):674-688, 2014.
    
17. P. Malo, P. Siitari, and A. Sinha. Automated query learning with wikipedia and genetic programming. Artificial Intelligence, 194:86-110, 2013.
    
18. P. Malo, A. Sinha, J. Wallenius, and P. Korhonen. Concept-based document classication using wikipedia and value function. Journal of the American Society for Information Science and Technology, 62(12):2496-2511, 2011.
    
19. K. Deb and A. Sinha. An efficient and accurate solution methodology for bilevel multi-objective programming problems using a hybrid evolutionary-local-search algorithm. Evolutionary Computation Journal, 18(3):403-449, 2010.
    
20. K. Deb, A. Sinha, P. Korhonen, and J. Wallenius. An interactive evolutionary multi-objective optimization method based on progressively approximated value functions. IEEE Transactions on Evolutionary Computation, 14(5):723-739, 2010.

• "Transportation Policy Formulation as a Multi-objective Bilevel Optimization Problem", "Unconstrained Robust Optimization using a Descent-based Crossover Operator" and "Incorporating Data Envelopment Analysis Solution Methods into Bilevel Multi-Objective Optimization" at IEEE Congress on Evolutionary Computation (CEC-2015), May 2015, Sendai, Japan
• "An Improved Bilevel Evolutionary Algorithm based on Quadratic Approximations" at IEEE Congress on Evolutionary Computation (CEC-2014), June 2014, Beijing, China
• "A Bilevel Optimization Approach to Automated Parameter Tuning" at the 16th Annual Genetic and Evolutionary Computation Conference (GECCO 2014), July 2014, Vancouver, Canada
• "Multi-objective Stackelberg Game Between a Regulating Authority and a Mining Company: A Case Study in Environmental Economics" at 2013 IEEE Congress on Evolutionary Computation (CEC-2013), June 2013, Cancun, Mexico
• "Interactive Evolutionary Algorithm for Solving Many Criteria Optimization Problems" at INFORMS Annual Meeting (INFORMS-2012), October 2012, Phoenix, AZ, USA
• "Optimization of large objective problems using interactive techniques" at 25th European Conference on Operational Research (EURO-2012), July 2012, Vilnius, Lithuania
• "Unconstrained Scalable Test Problems for Single-Objective Bilevel Optimization" and "Solving High Objective Problems in Fixed Interactions with the Decision Maker" at IEEE Congress on Evolutionary Computation (CEC-2012), June 2012, Brisbane, Australia
• "Solving Bilevel Problems Using an Evolutionary Approach" at INFORMS Annual Meeting (INFORMS-2011), November 2011, Charlotte, NC, USA
• "Bilevel Multi-Objective Optimization Problem Solving Using Progressively Interactive EMO" at the Sixth International Conference on Evolutionary Multi-Criterion Optimization (EMO-2011), April 2011, Ouro Preto, Brazil
• "Estimation of Efficient Regression Model using a Multi-Objective Procedure" at the Annual International Conference on Operations Research and Statistics (ORS-2011), April 2011, Penang, Malaysia
• "A Dimensionality Reduction Approach for Semantic Information Retrieval" at the 21st International Conference on Multiple Criteria Decision Making (MCDM-2011), June 2011, Jyvaskyla, Finland
• "Progressively interactive evolutionary multi-objective optimization method using generalized polynomial value functions" at IEEE Congress on Evolutionary Computation (CEC-2010), July 2010, Barcelona, Spain
• "An Interactive Evolutionary Multi-objective Optimization Method Based on Polyhedral Cones" at Learning and Intelligent Optimization (LION-2010), January 2010, Venice, Italy
• "Constructing Test Problems for Bilevel Evolutionary Multi-objective Optimization" at IEEE Congress on Evolutionary Computation (CEC-2009), May 2009, Trondheim, Norway
• "Towards Understanding Evolutionary Bilevel Multi-objective Optimization Algorithm" at IFAC Workshop on Control Applications of Optimization (IFAC-2009), May 2009, Jyvaskyla, Finland