College of Liberal Arts - College of Liberal Arts

  • Associate Professor AI, Data Science
  • NADARAJAN, GAYATHRI
    Lab Web page

Research Interest

Responsible/Ethical AI, Large data integration, AI and Education

I am broadly interested in applying AI technologies to a variety of problems such as drug discovery, video processing, etc. I am also passionate about teaching and education research. Do get in touch if you are interested to collaborate!

Education

  • Ph.D. Informatics (AI), University of Edinburgh, U.K.
  • MSc. Informatics (AI), University of Edinburgh, U.K.
  • B.A. Computer Science, Trinity College Dublin, Ireland

Experience

  • 2019–present Associate Professor, Sungkyunkwan University, South Korea
  • 2014-2015 Post-doctoral Researcher, Biomedical Knowledge Engineering Lab, Seoul National University, S. Korea
  • 2010-2013 Post-doctoral Researcher, AIAI, University of Edinburgh, U.K. (Fish4Knowledge EU Project)
  • 1999-2018 Industry Experience - various (Software engineer, Senior scientist, AI consultant) across Europe and Asia
  • TEACHING
  • DSC3021 Introduction to Artificial Intelligence (Spring)
  • DSC2005 Data Science and R (Spring)
  • DSC3032 Deep Learning 1: Foundations and Image Processing (Spring)
  • DSC3037 Relational Databases (Fall)
  • DSC3033 Deep Learning 2: Natural Language Processing (Fall)
  • DSC2016 Ethical and Social Impact of Data (Fall)
  • CLA3108 Introduction to AI for Humanities (2020-2022)
  • LIS4031 Data Impact on Cognition and Ethics (Fall 2025–) ***NEW***
  • International Summer School (ISS): Artificial Intelligence (2019–present)

Journal Articles

  • (2025)  Did Alice Do Wrong? Cross-Cultural Differences in Student Perceptions of Generative AI Use in University Computing Education.  ACM TRANSACTIONS ON COMPUTING EDUCATION.  1,  1

Conference Paper

  • (2025)  An International Examination of Student Perceptions of the Ethics of Using Generative AI in CS Education.  ACM Global Computing Education Conference (CompEd).  BOTSWANA
  • (2025)  Automatic Piecewise Linear Regression for Predicting Student Learning Satisfaction.  International Conference on Intelligent Tutoring Systems.  GREECE
  • (2024)  Exploring Factors Affecting Student Learning Satisfaction during COVID-19 in South Korea.  10th International Conference on Frontiers of Educational Technologies (ICFET 2024).  MALAYSIA

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