Priti Oli

Priti Oli

PhD student in Computer Science

Click here for a full pdf copy of my Resume

Click here for a full pdf copy of my CV

Education

In Progress
Ph.D. in Computer Science
University of Memphis
Advisor: Dr. Vasile Rus

2019-2021
M.S in Computer Science
University of Memphis
Memphis, TN

2011-2015
B.E. in Electronics and Communication Engineering
IOE, Pulchowk Campus
Tribhuvan University

Research experience

2019 - Present
Graduate Research Assistant

Projects:

  • Learner Data Institute (LDI)
  • Collaborative Research: CSEdPad
  • iCode: Adaptive Training of Students’ Code Comprehension Processes

Professional Experience

  • Senior Software Development Engineer (2018-2019), Zakipoint Health
  • Software Development Engineer (2017-2018), Zakipoint Health Inc.
  • Associate Software Developer(2015-2016) Deerwalk Inc.

Publications

  • Explaining Code Examples in Introductory Programming Courses: LLM vs Humans, Arun-Balajiee Lekshmi-Narayanan, Priti Oli, Jeevan Chapagain, Mohammad Hassany, Rabin Banjade, Peter Brusilovsky, Vasile Rus AI for Education Workshop, AAAI 2024
  • Automated Assessment of Students’ Code Comprehension using LLMs,Priti Oli, Rabin Banjade, Jeevan Chapagain, Vasile Rus AI for Education Workshop, AAAI 2024
  • Exploring The Effectiveness of Reading vs. Tutoring For, Enhancing Code Comprehension For Novices. Priti Oli, Rabin Banjade, Arun Balajiee Lekshmi Narayanan, Peter Brusilovsky, and Vasile Rus. 2024. In Proceedings of ACM SAC Conference (SAC’24). ACM, Avila, Spain, Article 4, 10 pages
  • The Behavior of Large Language Models When Prompted to Generate Code Explanations. Priti Oli, Rabin Banjade, Jeevan Chapagain, Vasile Rus - arXiv preprint arXiv:2311.01490, 2023, Genrative AI in Education Workshop, NeurIPS 2023 GAIED
  • Preliminary Experiments with Transformer based Approaches To Automatically Inferring Domain Models from Textbooks, Rabin Banjade, Priti Oli, Lasang Jimba Tamang, Vasile Rus, Proceedings of the 15th International Conference on Educational Data Mining 2022
  • SelfCode: An Annotated Corpus and a Model for Automated Assessment of Self-Explanation During Source Code Comprehension, Jeevan Chapagain, Zak Risha, Rabin Banjade, Priti Oli, Lasang Tamang, Peter Brusilovsky, Vasile Rus, The International FLAIRS Conference Proceedings, 2023
  • Improving Code Comprehension through Scaffolded Self-Explanation, Priti Oli, Rabin Banjade, Arun Balajiee Lekshmi Narayanan, Jeevan Chapagain, Lasang J. Tamang, Peter Brusilovsky, and Vasile Rus, AIED: International Conference on Artificial Intelligence in Education 2023
  • Automated Assessment of Quality of Jupyter Notebooks Using Artificial Intelligence and Big Code, Oli Priti, Banjade Rabin, Tamang Lasang Jimba, and Rus Vasile, The International FLAIRS Conference Proceedings 2021
  • A Systematic Investigation of Expert and Novice Programmers’ Ratings of Code Cohesion. Jeff Bye, Rina Harsch, Yewon Kang, Priti Oli, Rabin Banjade Banjade, Andrew Tawfik, Vasile Rus, Panayiota Kendeou, Poster presented at the 64th Annual Meeting of the Psychonomic Society. San Francisco, CA, USA(2023, November)
  • Domain Model Discovery from Textbooks for Computer Programming Intelligent Tutors, Banjade Rabin, Oli Priti, Tamang Lasang Jimba, Chapagain Jeevan, and Rus Vasile, The International FLAIRS Conference Proceedings 2021
  • A Comparative Study of Free Self-Explanations and Socratic Tutoring Explanations for Source Code Comprehension, Tamang, Lasang Jimba, Zeyad Alshaikh, Nisrine Ait Khayi, Priti Oli, and Vasile Rus, In Proceedings of the 52nd ACM Technical Symposium on Computer Science Education (pp. 219-225).
  • NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation, Kaustubh D. Dhole, Varun Gangal, Sebastian Gehrmann, …, Priti Oli ,… Jascha Sohl-Dickstein, Jinho D. Choi, Eduard Hovy,arXiv:2112.02721v1
  • Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models, Aarohi Srivastava, Abhinav Rastogi,…., Priti Oli,………….., Zijie J. Wang, Zirui Wang, Ziyi Wu, arXiv:2206.04615
  • Preliminary Experiments with Transformer based Approaches To Automatically Inferring Domain Models from Textbooks, Rabin Banjade, Priti Oli, Lasang Jimba Tamang, Vasile Rus, Proceedings of the 15th International Conference on Educational Data Mining
  • Automated Assessment of Student Self-explanation During Source Code Comprehension, Jeevan Chapagain, Lasang Tamang, Rabin Banjade, Priti Oli, Vasile Rus,The International FLAIRS Conference Proceedings

Awards and Honors

  • Peter I. Neathery Scholarship/Fellowship (Aug 2020) University of Memphis
  • Runner-Up(2016) NASA space app challenge Kathmandu 2016
  • Google Computer Science Research Mentorship Program (CSRMP 2022 a)
  • GHC Scholar 2022, 2023

Travel Grant

  • IIS (Institute for Intelligent Systems) Travel Grant 2021, 2022, 2023
  • GSA Student Travel Award
  • Travel Award by SPLICE to present on CSEDM 2023
  • AIED 2023: Conference Travel Scholarship
  • CRA Grad Cohort 2020, 2021, 2022

Professional Services and Outreach

  • Reviewer: ACM SigCSE 2023, 2024
  • Reviewer: BEA Workshop (ACL 2023)
  • Reviewer: Flairs 2021, 2022
  • Volunteer: Code for Nepal (217-2018)

Teaching

  • Teaching Assistant IOE, Pulchowk Campus 2017

  • Instructor DataWhy’s DataScience Internship 2023

Talks and Presentations