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Jaehoon Koo committed Jan 19, 2024
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- M.S. in Industrial Engineering and Management Sciences, 2015
- [Korea Advanced Institute of Science and Technology (KAIST)](https://ie.kaist.ac.kr/)
- M.S. in Industrial and Systems Engineering, 2012
- [Ajou University](https://ie.ajou.ac.kr/ie/index.do)
- [Ajou University](https://www.ajou.ac.kr)
- B.S. in Industrial Engineering, 2010

<!-- - Ph.D. in Industrial Engineering and Management Sciences, [Northwestern University](https://www.mccormick.northwestern.edu/industrial/), 2020, USA
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- B.S. in Industrial Engineering, [Ajou University](https://ie.ajou.ac.kr/ie/index.do), 2010, South Korea -->

## Experience
- Hanyang University <font size="2">(Ansan, Gyeonggi, South Korea)</font>
- [Hanyang University](https://www.hanyang.ac.kr/) <font size="2">(Ansan, Gyeonggi, South Korea)</font>
- Assistant Professor in the School of Business Administration (Sep. 2022 - present)

- Argonne National Laboratory <font size="2">(Lemont, IL, USA)</font>
- [Argonne National Laboratory](https://www.anl.gov/) <font size="2">(Lemont, IL, USA)</font>
- Postdoctoral Appointee in the Mathematics and Computer Science Division (Jul. 2020 - Jul. 2022)
- Collaborated with plasma physicists to design a combined MLP/CNN model to reconstruct plasma equilibrium images and physical quantities; implemented using Pytorch; achieved 1000x speedup over the traditional algorithms. (Project page: EFIT-AI)
- Developed autotuning framework to explore a tree‑like search space based on Monte Carlo tree search; obtained 3.7x speedup over the default heuristic optimizations on Exascale proxy apps; collaborated with experts on compiler optimization for HPC. [[code]](https://github.com/ytopt-team/ytopt/blob/mcts/ytopt/cmcts/README.md) [[tutorial]](https://github.com/ytopt-team/ytopt/blob/mcts/docs/tutorials/mcts-gemm/tutorial-mcts-gemm.md)
- Designed autotuning framework for online settings based on transfer learning; provided a hands‑on tutorial. [[code]](https://github.com/ytopt-team/ytopt/tree/v0.0.3) [[tutorial]](https://github.com/ytopt-team/ytopt/blob/online/docs/tutorials/omp-xsbench-tl/tutorial-omp-xsbench-tl.md)
- Maintained a ML based autotuning software package (Ytopt); provided tutorial examples of HPC proxy apps; available in Spack.
- Helped X‑ray scientists by designing corrector algorithm in Tensorflow to clean noisy images from dark‑field X‑ray microscope based on a CNN for optical flow (PWC‑Net).
- Helped materials scientists using a distributed hyperparameter search software (DeepHyper) to autotune configurations of neuromorphic computing architectures under extreme environments
- Northwestern University <font size="2">(Evanston, IL, USA)</font>
- [Northwestern University](https://www.northwestern.edu/) <font size="2">(Evanston, IL, USA)</font>
- Research Assistant (Sep. 2015 - Jun. 2020)
- Projects with Allstate Insurance Company
- Developed inverse classification framework for churn analysis and for mortality prediction on sequential data; implemented using Tensorflow and PuLP; successfully perturbed samples as desired achieving 17% improvements over the baseline.
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- Argonne profile at [https://www.anl.gov/profile/jaehoon-koo](https://www.anl.gov/profile/jaehoon-koo).
- Northwestern website at [https://sites.google.com/a/u.northwestern.edu/jaehoon_koo/home](https://sites.google.com/a/u.northwestern.edu/jaehoon_koo/home). -->

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