top of page
Analysing data

HI THERE! 
WELCOME TO MY LITTLE WEBSITE!

Come and Get to Know Me!

Home: Welcome

ABOUT ME

kimia-vahdat-2650x1440-01_edited_edited.jpg

Unlike other children of my age, I have always dreamt about being a "scientist" one day, whatever "scientist" meant to one back then. Although little I knew of what actually being a scientist mean in real world, the ambition of making this dream happen got me where I am today. I am a third year PhD student in Industrial and Systems Engineering with a focus on simulation optimization in data analysis. 
In my free time I often play board games with my friends, read fiction books or spend time with my cat, Joey. I also try to practice yoga regularly and love my daily few minutes of meditaion.

Home: About Me

EDUCATION

My Studies

August 2014-July 2018

BSC INDUSTRIAL ENGINEERING

SHARIF UNIVERSITY OF TECHNOLOGY

My senior project was concentrated on time series forecasting of Iran's stock values. I applied various methods such as ARCH and ARIMA in SAS and gained ~%80 accuracy in my predictions.

August 2018- Dec 2020

MASTER OF OPERATIONS RESEARCH 

NORTH CAROLINA STATE UNIVERSITY

Obtained in depth knowledge of mathematical programming and stochastic optimization.

August 2018- May 2023

PHD OF INDUSTRIAL AND SYSTEMS ENGINEERING

NORTH CAROLINA STATE UNIVERSITY

Received my minor in Statistics. Have been working with Dr. Sara Shashaani on developing solutions for stochastic combinatorial optimization in data-driven problems.

Home: Education

PUBLICATIONS

published and under review

K. Vahdat and S. Shashaani, “Simulation optimization based feature selection, a study on data-driven optimization with input uncertainty,” inProceedings of the 2020 Winter Simulation Conference. IEEE, 2020, pp. 2149–2160.

L. Mao, K. Vahdat, S. Shashaani, J. Swann, "Personalized Predictions for Unplanned Urinary Tract Infection Hospitalizations with Hierarchical Clustering", 2020 INFORMS Conference on Service Science.

  • Selected as one of the top finalists in the student paper competition

S. Shashaani, K. Vahdat, "Simulation Optimization Based Feature Selection", 2020 (under review).

Home: Experience

MY SKILLS

My handy toolbox

Image by Campaign Creators

OPERATIONS RESEARCH

  • Mathematical, Linear and Integer Programming,

  • Simulation, Stochastic and Combinatorial Optimization,

  • Meta-heuristic Search Algorithms.

Image by Procreator UX Design Studio

DATA SCIENCE

  • Predictive Analytics,

  • Data and Quantitative Analysis,

  • Deep Learning and Text Analysis,

  • Forecasting and Time Series Analysis,

  • Data Mining and Visualization Tools,

  • Statistical and Machine Learning Algorithms.

opti.jpeg

PROGRAMMING

  • Languages: R, Python, SAS, MATLAB, C#, C, SQL

  • Packages: caret, dplyr, Pandas, Scikit-learn, TensorFlow, Keras, PyTorch

  • Statistical and Visualization Software: JMP, Tableau, Visual Paradigm, Power BI

Home: Skills
Office with a View

Colin Powell, former U.S. Defense Secretary

"A dream does not become reality through magic; it takes sweat, determination, and hard work"

Home: Quote
Image by JOHN TOWNER

LET’S CONNECT

  • Facebook
  • LinkedIn
Home: Contact
Home: Blog Feed
bottom of page