👩‍💻 About Me

I am a fourth-year Computer Science Ph.D. student at the School of Computing and Augmented Intelligence (SCAI) at Arizona State University, specializing in Trustworthy AI. My research focuses on fairness and robustness in AI/ML, particularly in domain generalization and bias mitigation for LM-based NLP tasks. Currently, I work full-time as a research assistant at DHS-CAOE and Data Mining and Machine Learning (DMML) Laboratory, under the guidance of Dr. Huan Liu and Dr. Mickey Mancenido. Before joining DMML lab, I obtained CSE bachelor’s and master’s degrees from Korea University advised by Dr. Jaewoo Kang.

For a more detailed look at my qualifications, please review my complete resume and example cover letter.

🎓 Education

• Ph.D. in Computer Science, Arizona State University, Expected 2025
• M.S. in Computer Science & Engineering, Korea University, 2019
• B.E. in Computer Science & Engineering, Korea University, 2017

🗒️ Publication

• STANCE-C3: Domain-adaptive Cross-target Stance Detection via Contrastive Learning and Counterfactual Generation (Under Review) [pdf]
  Nayoung Kim, David Mosallanezhad, Lu Cheng, Michelle V. Mancenido, Huan Liu\

• PADTHAI-MM: A Principled Approach for the Design of Trustworthy, Human-Centered AI systems using the MAST Methodology [pdf] [code]
  Nayoung Kim, Myke C. Cohen, Yang Ba, Anna Pan, Shawaiz Bhatti, Pouria Salehi, James Sung, Erik Blasch, Michelle V. Mancenido, Erin K. Chiou
  AI Magazine, 2024

• Evaluating Trustworthiness of AI-Enabled Decision Support Systems: Validation of the Multisource AI Scorecard Table (MAST) [pdf]
  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

• Debiasing Word Embeddings with Nonlinear Geometry [pdf] [code]
  Lu Cheng, Nayoung Kim, Huan Liu
  In the Proceedings of the 29th International Conference on Computational Linguistics (COLING). Gyeongju. October 12-17, 2022.

• Bridging the Gap: Commonality and Differences between Online and Offline COVID-19 Data [pdf] [code]
  Nayoung Kim, Ahmadreza Mosallanezhad, Lu Cheng, Baoxin Li, Huan Liu
  In the 15th International Conference on Social Computing, Behavioral-Cultural Modeling, & Prediction and Behavior Representation in Modeling and Simulation (SBP-BRiMS). Pittsburgh. September 20-23, 2022.

🏛️ Experiences

• Fall 2022-Present: Research Assistant, Department of Homeland Security (DHS-CAOE)
  • Supervisor: Professor Erin K. Chiou, Michelle V. Mancenido
• Fall 2021-Summer 2022: Research Assistant, Arizona State University
  • Supervisor: Professor Huan Liu
• Spring 2021: Research Assistant, Arizona State University & Mathpresso
  • Supervisor: Professor Sang Pil Han
• Spring 2022: Teaching Assistant, Arizona State University
  • CSE 205: Object-Oriented Programming and Data Structures (Instructor: Phillip Miller)
• Fall 2021: Teaching Assistant, Arizona State University
  • CSE 205: Object-Oriented Programming and Data Structures (Instructor: Faye Tadayon-Navabi)

🎙️ Talks

• Machine Learning Day 2024, Arizona State University West Valley Campus

🏢 Services

• Conference Program Committee
  • ASONAM’24
  • SBP-BRiMS’23
  • ASONAM’23
• Conference External Reviewer
  • AAAI’23, EMNLP’23, ECML-PKDD’22, ACM MultiMedia’22, ASONAM’22, ASONAM’21, IEEE CogMI’21
• Volunteer
  • WSDM’22
  • KDD’21

🏆 Honors & Awards

• Conference Scholarship, SBP-BRiMS, 2022
• Fulton Scholarships, Ira A. Fulton Schools of Engineering, Arizona State University, 2021
• General Scholarships, Korea University, 2017-2018
• Work-Study Scholarships, Korea University, 2015
• Academic Excellence Scholarships, Korea University, 2013

💡 Contact

Address: 699 S Mill Ave, Tempe, AZ, 85281 [Room 584AD]
Email: nkim48 at asu dot edu

Last updated: 04/08/24