Danial Mohseni Taheri

Ph.D. Candidate, at University of Illinois at Chicago in Information and Decision Sciences.

I am currently a Ph.D. candidate at the University of Illinois at Chicago, Department of Information and Decision Sciences. Here at UIC, I am working with Prof. Nadarajah. My research focuses on developing and applying machine learning and decision making algorithms for various business-oriented problems. These include user behavior modeling, procurement, and investment decisions.

RECENT NEWS:

November 2019:

PUBLICATIONS

  • Meeting Corporate Renewbale power targets, Under review in Management Science (with S. Nadarajah, A. Trivella) [PDF]
  • Interpretable User Models via Decision-rule Gaussian Processes, Submitted to NIPS 2019 Workshop (with S. Nadarajah, T. Tulabandhula) [Draft upon request]
  • Investment under Limited Long-Term Information, Working Paper (with S. Nadarajah, A. Kelevin, S-E. Feleten )
  • Overbooking in Network of Storage Assets, Technical report (with S. Nadarajah, T. Tulabandhula )

SKILLS AND BACKGROUND

Interests

  • Machine Learning
  • Reinforcement Learning
  • decision-making algorithms
  • Statistics

Programming

  • Python (Pandas, Pytorch, Tensorflow, Keras, Scikit-Learn, Scipy)
  • C++
  • R, MATLAB
  • SQL, Spark
  • Unix, AWS

Education

  • PhD in Information and Decision Sciences, University of Illinois at Chicago

  • BSc in Industrial Engineering, AmirKabir University, 2015

EXPERIENCE

Graduate Reaserch Assistant in Artificial Intelligence

  • Worked on human behavior modeling, procurement, and investment problems using machine learning and decision making algorithms.

Graduate Teaching Assistant in Business Analytics

  • Topics: Computer vision, Natural Language Processing, Bayesian inference, reinforcement learning
  • Topics: Linear and integer programming in Julia, forecasting in R
  • Provided tutorials in Pytorch

Project Adviser for Industry Projects

  • Cloudbakers: Designing and implementing a predictive model using natural language processing along with analysts to evaluate the credibility of repositories in GitHub, Fall 2019
  • Varuna (Startup): Collaborated with co-founders and analysts on business requirements, gathering data, and discussing findings to build a predictive model for forecasting system failures in water purification plants, Spring 2019

INVITED TALKS

Interpretable User Models via Decision-rule Gaussian Processes
INFORMSAnnual Meeting, Seattle, Washington
OCT 2019
Meeting Corporate Renewable Power Targets
INFORMSAnnual Meeting, Seattle, Washington
OCT 2019
Overbooking in Network of Storage Assets
Production and Operations Management Society Annual Conference, Washington D.C. (POMS)
May 2019
Meeting Corporate Renewable Power Targets
Production and Operations Management Society Annual Conference (POMS)
May 2019
Investment under Limited Long-Term Information
Production and Operations Management Society Annual Conference (POMS)
May 2019
Dual Reoptimization based Approximate Dynamic Programming
INFORMS Annual Meeting, Phoenix, Arizona
Nov 2019
Meeting Corporate Renewable Power Targets
Production and Operations Management Society Annual Conference, Houston, Texas (POMS)
May 2019
Meeting Corporate Renewable Power Targets
Manufacturing & Service Operations Management Annual Conference, Dallas, Texas (MSOM)
Jul 2018