PhD Student
Department of Computer Science
The University of Iowa
Email: ingroj-shrestha@uiowa.edu
Office: 317 MLH
Advisor: Padmini Srinivasan
Research Interests
Machine Learning, Deep Learning, Natural Language Processing, Biomedical Text Mining, Bias Detection and Mitigation, Fairness in AI, Model Explanation
Publications
Ingroj Shrestha, Louis Tay and Padmini Srinivasan. "Assessing Gender Bias in Human Trait Ratings by Pre-Trained MLMs." (To appear at NAACL 2025)
Ingroj Shrestha, and Padmini Srinivasan. "Debiasing by obfuscating with 007-classifiers promotes fairness in multi-community settings." Proceedings of the 31st International Conference on Computational Linguistics, pages 621–636. Association for Computational Linguistics. 2025
Ingroj Shrestha, and Padmini Srinivasan. "Comparing Deep Learning and Conventional Machine Learning Models for Predicting Mental Illness from History of Present Illness Notations." AMIA Annual Symposium Proceedings. Vol. 2021.
Ingroj Shrestha, and Shreeya Singh Dhakal. "Fine-grained part-of-speech tagging in Nepali text." Procedia Computer Science 189 (2021): 300-311.
Ingroj Shrestha, and Jonathan Rusert. "NLP_UIOWA at SemEval-2020 Task 8: You’re Not the Only One Cursed with Knowledge-Multi Branch Model Memotion Analysis." Proceedings of the Fourteenth Workshop on Semantic Evaluation. 2020.
Ingroj Shrestha, and Shreeya Singh Dhakal. "A new stemmer for Nepali language." 2nd International Conference on Advances in Computing, Communication, & Automation (ICACCA)(Fall). IEEE, 2016.
Ingroj Shrestha, Shreeya Dhakal, Madan Kadariya. "A Comparative Study of Stemming Algorithms for Nepali Language". Proceedings of 3rd International IT conference on ICT for Intelligent Computing. Kathmandu, Nepal, 2016.
Projects
Selling Drugs with Online Behavioral Advertising: Targeting Consumers Emotions on YouTube
- Assess whether online behavioral advertisements for prescription drugs on YouTube utilize Google search-query-derived data that identifies the emotional states of individual consumers, quietly matching consumers with ads calibrated to chime with their private thoughts, eroding consumer self-determination and implicating the autonomy interest in the process.
- Built a pipeline to collect YouTube video ads (using Selenium), automate Google account creation (using PVACreator and 5Sim.net), generate fake personas (positive: users searching heart disease and happy emotion bearing terms and negative: users searching heart disease and negative emotion bearing terms and neutral: searching only heart disease) and automate Google search for the created account
- Analyze the emotion in the ads received by positive and negative group
Sentiment Analysis of Nepali Texts
- Extracted Nepali news and tweets and developed a sentiment corpus for Nepali language. Implemented Naive Bayes algorithm to perform sentiment analysis of Nepali texts. Visualized the results using Sinatra Google charts and Google map.
Teaching Experience
| CS 2420 Databases for Informatics |
CS 4400 Database Systems |
CS 1110 Introductiom to Computer Science |
CS 2210 Discrete Structures |
CS 3330 Algorithms |
CS 5110 Introduction to Informatics |
CS 1020 Principles of Computing |
CS 2110 Programming for Informatics |
CS 2820 Introduction to Software Development |
CS 4980 Deep Learning |
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|---|---|---|---|---|---|---|---|---|---|---|
| Fall 2018 | Prof. Raman Aravamudhan | |||||||||
| Spring 2019 | Prof. Raman Aravamudhan Prof. Palani Andiappan |
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| Fall 2019 | Prof. Raman Aravamudhan | Prof. Palani Andiappan | ||||||||
| Spring 2020 | Prof. Denise Szecsei | |||||||||
| Summer 2020 | Prof. Tony Delaubenfels | Prof. Denise Szecsei | ||||||||
| Fall 2020 | Prof. Palani Andiappan | Prof. Padmini Srinivasan | ||||||||
| Spring 2021 | Prof. Denise Szecsei | |||||||||
| Fall 2021 | Prof. Denise Szecsei | Prof. Brandon Myers | ||||||||
| Spring 2022 | Prof. Elizabeth Kleiman | Prof. Steve Goddard | ||||||||
| Summer 2022 | Prof. Denise Szecsei | |||||||||
| Fall 2022 | Prof. Denise Szecsei | Prof. Denise Szecsei | Prof. Padmini Srinivasan | |||||||
| Spring 2023 | Prof. Padmini Srinivasan | |||||||||
| Summer 2023 | Prof. Tony Delaubenfels | |||||||||
| Fall 2023 | Prof. Padmini Srinivasan | Prof. Padmini Srinivasan | ||||||||
| Spring 2025 | Prof. Weiran Wang |