Curriculum Vitae
Education
- Ph.D. in Computer Science, Arizona State University, expected 2026
- M.E. in Computer Science & Engineering, Korea University, 2019
- B.S. in Computer Science & Engineering, Korea University, 2017
Experience
- Sep 2025 – Dec 2025 — Applied Scientist Intern, Amazon, Bellevue WA
- May 2025 – Aug 2025 — AI/ML Intern, AMD, Austin TX
- Aug 2024 – Dec 2024 — Software Development Intern, AMD, Austin TX
- Aug 2022 – May 2025 — Research Assistant, Department of Homeland Security (DHS-CAOE)
- PI: Dr. Erin K. Chiou; Co-PI: Dr. Michelle V. Mancenido
- Aug 2021 – Aug 2022 — Research Assistant, Arizona State University
- PI: Dr. Huan Liu
- Jan 2021 – May 2021 — Research Assistant, Arizona State University & Mathpresso
- PI: Dr. Sang Pil Han
- Mar 2017 – Feb 2019 — Research Assistant, Korea University DMIS Lab — Seoul, Republic of Korea
Publications
A complete list is also available on my Google Scholar profile.
(* denotes equal contribution; bold denotes author of this page.)
2025
PADTHAI-MM: A Principled Approach for the Design of Trustworthy, Human-Centered AI systems using the MAST Methodology
Myke C. Cohen, Nayoung Kim, Yang Ba, Anna Pan, Shawaiz Bhatti, Pouria Salehi, James Sung, Erik Blasch, Michelle V. Mancenido, Erin K. Chiou
AI Magazine, 2025.
2024
Robust Stance Detection: Understanding Public Perceptions in Social Media
Nayoung Kim, David Mosallanezhad, Lu Cheng, Michelle V. Mancenido, Huan Liu
International Conference on Social Networks Analysis and Mining (ASONAM), 2024.
2023
Evaluating Trustworthiness of AI-Enabled Decision Support Systems: Validation of the Multisource AI Scorecard Table (MAST)
Pouria Salehi, Yang Ba, Nayoung Kim, David Mosallanezhad, Anna Pan, Myke C. Cohen, Yixuan Wang, Jieqiong Zhao, Shawaiz Bhatti, Michelle V. Mancenido, Erin K. Chiou
Journal of Artificial Intelligence Research, 2023.
2022
Debiasing Word Embeddings with Nonlinear Geometry
Lu Cheng, Nayoung Kim, Huan Liu
Proceedings of the 29th International Conference on Computational Linguistics (COLING), 2022.
Bridging the Gap: Commonality and Differences between Online and Offline COVID-19 Data
Nayoung Kim, Ahmadreza Mosallanezhad, Lu Cheng, Baoxin Li, Huan Liu
15th International Conference on Social Computing, Behavioral-Cultural Modeling, & Prediction and Behavior Representation in Modeling and Simulation (SBP-BRiMS), 2022.
Talks
- Machine Learning Day 2024, Arizona State University, West Valley Campus — April 26, 2024
- SCAI AI Day, Arizona State University — November 17, 2023
Teaching
- Spring 2022 — Teaching Assistant, CSE 205: Object-Oriented Programming and Data Structures, Arizona State University (Instructor: Phillip Miller)
- Fall 2021 — Teaching Assistant, CSE 205: Object-Oriented Programming and Data Structures, Arizona State University (Instructor: Faye Tadayon-Navabi)
Mentoring
- Andre Ellini, Undergraduate, Barrett, The Honors College, ASU, 2024
- Michael Clarkin, Undergraduate, Barrett, The Honors College, ASU, 2024
- Robert Bradley, Undergraduate, Barrett, The Honors College, ASU, 2024
Service
Program Committee
- ASONAM 2024, SBP-BRiMS 2023, ASONAM 2023
Conference Reviewer
- AMLC 2025 (Gen AI Evaluation Workshop), NeurIPS 2025 (Reliable ML Workshop), AAAI 2023, EMNLP 2023, ECML-PKDD 2022, ACM Multimedia 2022, ASONAM 2022, ASONAM 2021, IEEE CogMI 2021
Volunteer
- WSDM 2022, KDD 2021
Honors & Awards
- SCAI Travel Award, Arizona State University, 2022 & 2024
- Conference Scholarship, SBP-BRiMS, 2022
- Fulton Scholarship, Ira A. Fulton Schools of Engineering, Arizona State University, 2021
- General Scholarships, Korea University, 2017–2018
- Work-Study Scholarship, Korea University, 2015
- Academic Excellence Scholarship, Korea University, 2013