Hi, I'm Sai Yerramreddy
Software Testing, Artificial Intelligence, AI Robustness, AI Interpretability
Software Testing, Artificial Intelligence, AI Robustness, AI Interpretability
I am a second-year Ph.D. student in the Department of Computer Science at the University of Maryland (UMD), College Park, where I am advised by Prof. Adam Porter. My research primarily focuses on developing testing and interpretability pipelines for software and AI algorithms.
I previously also earned my Masters in Computer Science from University of Maryland. Currently I work with Dr. Justyna Zwolak on analyzing feature engineering and interpretability techniques for detecting dark solitons in Bose-Einstein condensates as a part of the NIST Professional Research Experience Program (PREP). Additionally, I also collaborate with Fraunhofer CMA on studying boundaries and improving the robustness of bioinformatics classifiers. In the past, I have also worked with Prof. Leilani Battle and Prof. Dominik Moritz on modeling user behavior and optimizing visualization tools.
When I'm not working, you can find me on the football field (or soccer field, as some might say), hiking, playing video games, or whipping up some delicious meals in the kitchen. And if all else fails, I'll probably just be napping. After all, being a PhD student is exhausting!
When I get involved in a project, I don't just complete it. I walk an extra mile ahead to make it better than requested. Below are some of my projects. Check out my Github for more open sources.
Sai Yerramreddy, Austin Mordahl, Ugur Koc, Shiyi Wei, Jeffrey Foster, Marine Carpuat, Adam Porter
Empirical Software Engineering Journal
Junran Yang, Hyekang Kevin Joo, Sai S Yerramreddy, Siyao Li, Dominik Moritz, Leilani Battle
SIGMOD '22: Demo Paper
Rohan Reddy Mekala, Sai S Yerramreddy, Adam A Porter
The AAAI-22 Workshop on Adversarial Machine Learning and Beyond (AAAI-22 AdvML Workshop)
Sai Yerremreddy, KTV Talele, Yash Kokate
2019 IEEE 5th International Conference for Convergence in Technology (I2CT)
Royston Dmello, Sai Yerremreddy, Samriddha Basu, Tejas Bhitle, Yash Kokate, Prachi Gharpure
2019 9th IEEE Confluence
Sai Yerramreddy, Samriddha Basu, Ananya D Ojha, Dhananjay Kalbande
Proceedings of ICICC 2019, Springer Singapore
09-Jan-2023 to Present
Conducting an empirical evaluation of feature engineering and neural network approaches for classifying dark solitons in Bose-Einstein condensates. Furthermore, we also aim to assess and enhance interpretability techniques related to the evaluated classification methods, in order to highlight the areas of interest for human evaluation.
01-Feb-2020 to Present
Developed a metamorphic adversarial detection pipeline for face recognition systems. Conducted an empirical study of machine learning algorithms (Bag of Words, LSTM, and GNN) to detect false positive reports being generated by static analysis tools. Working on a testing suite and data generation framework for AI based metagenomics software.
21-May-2018 to 20-Jul-2018
Built a smart retail algorithm to detect SKUs on grocery aisles. Also developed an automated annotation tool using Flask and Angular.js for generating brief analytical reports based on the detection.
Fall 19, Spring 22, Fall 22
TA for CMSC436: Programming Handheld Systems. Developed labs and testing suites. Helped students with their academic projects and assignments. Organized schedule for other TAs. Proctored and graded midterms and finals.
Bachelors of Engineering in Computer Science
Master of Science in Computer Science
PhD in Computer Science