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Parshan Pakiman

Parshan Pakiman, Doctoral Student
  • Doctoral Student in Business Administration, Information & Decision Sciences

Education

  • Second year PhD student, Information and Decision Sciences Department, UIC Business School, Chicago, IL, 2017-present.
  • Bachelor of Science in Applied Mathematics, Department of Mathematics, Statistics and Computer Science, University of Tehran, Tehran, Iran, 2012-2016.

Classes Taught

Teaching Assistant
  • Introduction to Operations Management (UIC, IDS 532)
  • Statistical Models and Methods for Business Analytics (UIC, IDS 575)
  • Business Forecasting (UIC, IDS 476)
  • Business Data Mining (UIC, IDS 472
  • Business Statistics (UIC, IDS 270)
  • Numerical Linear Algebra (UT)
  • Numerical Analysis (UT)

Research & Publications

Research Interests
My main research interest is (approximately) solving high-dimensional problems arise in Operations Research and Management Science (OR/MS) using Approximate Dynamic Programming (ADP) and Machine Learning (ML) techniques. I am also interested in the intersection of data-driven optimization with ML, especially for e-commerce retail. In my research, both theoretical and empirical aspects of OR/MS problems are indispensable.
  • Approximate Dynamic Programming
  • Machine Learning
  • Data-driven Optimization

Awards & Affiliations

Honors and Awards
  • Doctoral Scholarship and CBA Doctoral Fellowship, UIC College of Business, University of Illinois at Chicago, Chicago, IL, 2017-present.
  • Graduate Assistantship, UIC College of Business, University of Illinois at Chicago, Chicago, IL, 2017-present.
  • Graduate Entrance Scholarship, Department of Mathematics, Statistics and Computer Science, University of Tehran, Iran, 2016.
  • Top Student Award, Department of Mathematics, Statistics and Computer Science, University of Tehran, Iran, 2016.
  • Technical Qualification, 2D Soccer Simulation League, RoboCup Iran Open, 2016.
  • Technical Qualification, 2D Soccer Simulation League, Khwarizmi Young Award, 2010.