Nurettin Dorukhan Sergin

Nurettin Dorukhan Sergin

Industrial Engineering Ph.D. Candidate

Arizona State University; School of Computing, Informatics, and Decision Systems Engineering


I’m graduating this summer!

If you’re looking for someone who has both research and applied experience in building machine learning-based solutions, shoot me an email.

Role fits:

  • Machine Learning Engineer
  • Applied Researcher/Scientist
  • Data Scientist
  • Operations Research Engineer

I am a doctoral candidate at ASU’s School of Computing, Information and Decision Systems Engineering (CIDSE). I am currently at the “all but dissertation” stage of my doctoral degree. I am expected to receive my degree in the Summer of 2021.

If you are here, you’re probably looking for some serious stuff such as links to my publications, talks, projects etc. Feel free to explore and reach out to me about any question you have in mind. Even though this blog has mostly serious stuff, I intend to put more fun stuff once I finally manage to finish my Ph.D. and hopefully have a more stable work-life balance.

Speaking of fun stuff, I love sailing. Ever since I first capsized in a bathtub-sized Optimist when I was a little kid, it has been my favorite pastime activity. I also proudly served as a board member at Bogazici University Sailing and Maritime Society throughout my undergrad. That gave me opportunity to spread the love by teaching people sailing both on the water and in front of the blackboard.

Other than going sailing, I like reading about a wide range of topics, from philosophy to politics, history, and art. I believe keeping the range wide open helps me understand them better collectively by drawing connections between them.

Here are the stuff that I’m currently reading, thinking, pondering, wasting time about:

  • How can we learn lessons from this pandemic and be better prepared for a creeping climate disaster?
  • How to (actively) model human preferences?
  • Electronic music, all the way from music theory to sound design


  • Ph.D. in Industrial Engineering, 2021 (Expected)

    Arizona State University

  • M.S. in Industrial Engineering, 2017

    Bogazici University

  • B.S. in Industrial Engineering, 2015

    Bogazici University



Machine Learning Engineer Intern

Apple Inc.

Jun 2020 – Dec 2020 Phoenix, AZ (Remote due to COVID-19)

Graduate Research Assistant

Arizona State University

Aug 2017 – Jun 2020 Tempe, AZ

Graduate Research Assistant

Bogazici University

Oct 2015 – Nov 2016 Istanbul/Turkey


Deep Learning Specialization

See certificate

Recent Publications

(2021). Toward a Better Monitoring Statistic for Profile Monitoring via Variational Autoencoders. JQT Special Issue – Artificial Intelligence & Statistics for Quality Technology.


(2020). Tensor Completion for Weakly-Dependent Data on Graph for Metro Passenger Flow Prediction. AAAI.


(2019). Image-based Process Monitoring via Adversarial Autoencoder with Applications to Rolling Defect Detection. IEEE CASE 2019.