Photo of Pakiman, Parshan

Parshan Pakiman

Doctoral Student in Business Administration: Information and Decision Sciences Emphasis

Department of Information and Decision Sciences

About

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 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

Notable Honors

2017 - present, Doctoral Scholarship and CBA Doctoral Fellowship, UIC Business

2017 - present, Graduate Assistantship, UIC Business

2016, Graduate Entrance Scholarship, Department of Mathematics, Statistics and Computer Science, University of Tehran, Iran

2016, Technical Qualification, 2D Soccer Simulation League

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.