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oguztoragay/README.md

Oğuz Torağay

Assistant Professor of Engineering Management Penn State Great Valley · Malvern, PA

Google Scholar ResearchGate Stack Exchange LinkedIn ORCiD Website

About Me

I am an Assistant Professor of Engineering Management at Penn State Great Valley. I hold a Ph.D. in Industrial and Systems Engineering from Auburn University, where I was recognized as the Outstanding Ph.D. Student of 2022 by the ISE faculty.

My work sits at the intersection of applied Operations Research and engineering systems, with a focus on building mathematical models and intelligent algorithms that solve complex, real-world planning and scheduling problems.

Research Interests

  • Mathematical Optimization — Linear, Nonlinear, MILP, MINLP
  • Scheduling — Robot-assisted manufacturing systems, Job shop scheduling
  • Metaheuristics & Heuristics — Approximate solution methods (applications in queueing theory)
  • Drone Routing & Scheduling — Highway monitoring, emergency responses, medical supply chain
  • Machine Learning for Optimization — Predicting solver computation times

Tools & Technologies

‒ Programming languages ⇨  python ‒ matlab ‒ R ‒ cpp 

‒ Libraries & Tools ⇨  NumPy ‒ Pandas ‒ NetworkX ‒ PyCharm ‒ docker ‒ googleCloud 

‒ Algebraic Modeling Languages (AMLs) ⇨  Pyomo ‒  AMPL ‒ GAMS 

‒ Solvers ⇨   ‒   ‒   

‒ Machine Learning ⇨  Scikit-learn ‒ Tensorflow ‒ PyTorch 

Pinned Loading

  1. AMmodels AMmodels Public

    This repository includes all the codes for exact mathematical models for lightweight frame structures' design for additive manufacturing.

    Python

  2. AMPAP2.8 AMPAP2.8 Public

    Python

  3. SchedulingGAP SchedulingGAP Public

    Codes that are used for the experiment part of the paper.

    Python 1 1

  4. ML4JS ML4JS Public

    This code has been used in the paper titled: "How Do Machine Learning Models Perform in Predicting the Solution Time for Optimization Problems? Case of Job Shop Scheduling Problem"

    Python 1