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adelsakkir/README.md

I am Adel Sakkir. I am an Engineer from the Indian Institute of Technology (IIT), Kharagpur. I am pursuing my Masters in Mathematics (Operations Research and Analytics) from the London School of Economics. My primary interest lies in solving large scale combinatorial optimisation problems.

  • 🤔 Favourite Problems: Steiner Trees, Traveling Salesman, Parallel Machine Scheduling
  • 📫 How to reach me: https://www.linkedin.com/in/adelsakkir/
  • 🧑‍💻 Languages: C++, Python, R, AMPL
  • 📕 Masters Thesis: Approximation algorithms for the Steiner Tree problem

In my GitHub profile you can file some of my work on

Problems Methods Used
Constraint Shortest Path/ Multi-commodity Flow MILP, Deep Reinforcement Learning
Travelling Salesman Problem Several MIP formulations, 2OPT, 3OPT, Randomised Algorithms
Parallel Machine Scheduling MILP/ Heuristics, Deep Reinforcement Learning
Steiner Trees Dreyfus-Wagner (Exact), Approximation Algorithms (2-approx, 1.4-approx), Local Search
NQueens Constraint Programming, Depth First Search, DFS with Pruning
Knapsack Dynamic Programming, Depth First Search, Breadth First Search
Demand Forecasting (Low Shelf Life) Newsvendor Model, Disposal Discrete Event Simulations, Multiple Linear Regression
Queuing Models - Parallel, Series, Hybrid Servers Discrete Event Simulation
Supplier Risk Prediction Logistic Regression, ADA Boost, XG Boost, Decision Trees

Pinned Loading

  1. Constrained_Shortest_Path Constrained_Shortest_Path Public

    Shortest Paths, Multicommodity flow, Deep Reinforment Learning

    Python

  2. TSP-Traveling-Salesman- TSP-Traveling-Salesman- Public

    MILP, 2OPT, 3OPT Algorithms for solving large scale TSP problems

    Jupyter Notebook 1 1

  3. Deep-Reinforcement-Learning-Scheduling Deep-Reinforcement-Learning-Scheduling Public

    An offline and online approach to modelling and solving a Parallel machine scheduling problem using deep reinforcement learning

    Jupyter Notebook

  4. Parallel-Scheduling-MILP Parallel-Scheduling-MILP Public

    A MILP and genetic algorithm based algorithm to schedule semiconductor wafers in an unrelated parallel machine setting

    Jupyter Notebook 2

  5. SupplierSelection_ML_OR SupplierSelection_ML_OR Public

    A hybridized approach in supplier selection through classification and mixed integer linear programming

    Jupyter Notebook 1 1

  6. Cpp-ConstraintProgramming_NQueens Cpp-ConstraintProgramming_NQueens Public

    C++ implementation of Constraint Programming on the N Queens problem

    Jupyter Notebook