IIMA

 Ankur Sinha, PhD

Indian Institute of Management Ahmedabad

HomepageResearchTeachingOpen Positions Contact IIMA Profile

Ankur Sinha

Associate Professor, Production and Quantitative Methods
Chairperson, Centre for Innovation Incubation and Entrepreneurship (CIIE)
Indian Institute of Management Ahmedabad
Ahmedabad India

Office Address
Wing 4 Room G
IIMA Campus, Vastrapur
Ahmedabad 380015 Gujarat
India

Phone (Office) +91 (0) 79 7152 4837
Phone (Residence) +91 (0) 79 7152 5522

Email: asinha@iima.ac.in

Educational Qualifications
Upcoming Programmes for Executives
 Enquiries for participation in the above programmes can be sent to asinha@iima.ac.in


My weblinks
My research interestes and teaching activities can be found below. Along with teaching and research, I actively engage in consulting and training private and government organizations on technology innovations, analytics, operations management and service design. 

Research Interests
Teaching
  • Indian Institute of Management Ahmedabad
    -Data Science for Business (MBA-PGPX) - 2018, 2019
    -Service Operations Management (MBA-PGP) - 2016, 2017, 2018, 2019
    -Decision Analysis (MBA-PGP) - 2015, 2016, 2017, 2019
    -Operations Management II (MBA-PGP) - 2017, 2018, 2019
    -Non-linear Optimization (PhD) - 2017, 2018, 2019
    -Mathematics - Preparatory Module (MBA-FABM) - 2015
  • Aalto University School of Business
    -Tools for Business Decisions 30C00400 (Masters/Bachelors Level) - Spring 2012, 2013, 2014
    -Quantitative Business Analysis 30A00410 (Bachelors Level) - Fall 2011, 2012, 2013
    -Optimization 30E00100 (PhD Level) - Fall 2013
Past Experience
  • 2018 (Apr) - 2018 (Jul) Aalto University School of Business, Visiting Faculty
  • 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)
Invited Research Talks
  • "Bilevel Optimization: Methods and Application", September 2019, University of Cologne, Germany
  • "Financial Sentiment Analysis", March 2018, McAfee, Bangalore, India
  • "Multiobjective Bilevel Optimization", March 2016, Neuvo Leon, Mexico
  • "Evolutionary Bilevel Optimization", July 2014, Xerox Research Center India, Bangalore, India
  • "Evolutionary approaches to handling bilevel optimization problems" at Beacon Center MSU, February 2013, East Lansing, MI, USA
  • "Introduction to Bilevel Optimization" at Indian Institute of Technology Kanpur, August 2011, Kanpur, India
  • "Progressively Interactive Evolutionary Multi-objective Optimization" at Saint Petersburg State University, May 2011, St. Petersburg, Russia
  • "Solving Bilevel Multi-Objective Optimization Problems Using Evolutionary Algorithms" at University of Jyvaskyla, November 2008, Jyvaskyla, Finland

Recent Journal Publications
  1. A. Sinha, and V. Shaikh. Solving Bilevel Optimization Problems using Kriging Approximations. IEEE Transactions on Cybernetics, 2021 (Forthcoming).
  2. R. Tiwari, S. Jayaswal, and A. Sinha. Competitive Hub Location Problem: Model and Solution Approaches, Transportation Research Part B, 2021 (Forthcoming).
  3. S. Bhatt, S. Jayaswal, A. Sinha, N. Vidyarthi. Alternate Second Order Conic Program Reformulations for Hub Location under Stochastic Demand and Congestion, Annals of Operations Research, 2021 (Forthcoming).
  4. R. Tiwari, S. Jayaswal, and A. Sinha. Alternate solution approaches for competitive hub-location problems, European Journal of Operational Research, 290(1):68-80, 2021.
  5. A. Sinha, P. Malo, K. Deb, and Z. Lu. Bilevel optimization based on iterative approximation of multiple mappings. Journal of Heuristics, 26:151-185, 2020.
  6. A. Sinha, T. Soun, and K. Deb. Using Karush-Kuhn-Tucker proximity measure for solving bilevel optimization problems. Swarm and evolutionary computation, 44:496–510, 2019.
  7. T. Pajala, P. Korhonen, P. Malo, A. Sinha, 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.
  8. A. Sinha, P. Malo and M. Kallio. Convex preference cone-based approach for many objective optimization problems, Computers and Operations Research, 95:1–11, 2018.
  9. 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, 270(1):230–245, 2018.
  10. 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.
  11. Z. Lu, K. Deb, and A. Sinha. Uncertainty handling in bilevel optimization for robust and reliable solutions. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 26(Suppl. 2):1–24, 2018.
  12. 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.
  13. A. Sinha, P. Malo, K. Deb. Approximated Set-valued Mapping Approach for Handling Multiobjective Bilevel Problems. Computers and Operations Research, 77:194–209, 2017.
  14. 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.
  15. M. Islam, H. K. Singh, T. Ray and A. Sinha. A Memetic Algorithm for Single Objective Bilevel Optimization Problems. Evolutionary Computation Journal, 2016.
  16. 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.
  17. 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.
  18. 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.
  19. A. Sinha, P. Malo, and K. Deb. Test problem construction for single-objective bilevel optimization. Evolutionary Computation Journal, 22(3):439-477, 2014.
  20. 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.
  21. 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.
  22. 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.
  23. 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.
  24. P. Malo, P. Siitari, and A. Sinha. Automated query learning with wikipedia and genetic programming. Artificial Intelligence, 194:86-110, 2013.
  25. P. Malo, A. Sinha, J. Wallenius, and P. Korhonen. Concept-based document classification using wikipedia and value function. Journal of the American Society for Information Science and Technology, 62(12):2496-2511, 2011.
  26. 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.
  27. 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.
For complete publication record refer: 
 

Professional Service

Co-chair: IEEE Task Force on Bilevel Optimization

Session Chair
  • Special session on Evolutionary Bilevel Optimization at WCCI 2016 conference in Vancouver, Canada
  • Special session on Bilevel Optimization at CEC 2015 conference in Sendai, Japan
  • Session on Optimization and Decision-making: Theory and Applications at IFORS 2014 in Barcelona, Spain
  • Special session on Bilevel Optimization at CEC 2013 conference in Cancun, Mexico
  • Special session on Bilevel Optimization at WCCI 2012 conference in Brisbane, Australia.
  • Session on Applied Simulations at CEC 2009 conference in Trondheim, Norway.

Conference Tutorials
  • Bilevel Optimization at CEC (2019), Wellington, New Zealand.
  • Bilevel Optimization: Methods and Applications at WCCI (2018), Rio de Janeiro, Brazil
  • Evolutionary Bilevel Optimization at CEC (June 2017), San Sebastian, Spain.
  • Evolutionary Bilevel Optimization at CEC (May 2015), Sendai, Japan.
  • Evolutionary Bilevel Optimization at PPSN (September 2014), Ljubljana, Slovenia.
  • Bilevel Optimization at GECCO (July 2013) in Amsterdam, Netherlands and GECCO (July 2014) in Vancouver, Canada.

 

Page Updated on : 11-06-2021 07:54:40
Copyright © 2024 Indian Institute of Management Ahmedabad | by IIMA Web Group