I am currently a second-year PhD student in the Department of Computer Science at the University of Maryland at College Park. In May 2019, I earned my bachelor's degree in Computer Science and Mathematics from Harvey Mudd College. I am interested in computer vision and deep learning research.
During my undergrad, I was part of AMISTAD Lab where I studied notions of algorithm capacity and dataset complexity with Prof. George Montañez. I was also part of a neural networks research group exploring programming language translation under the guidance of Prof. Robert Keller.
In my free time, I enjoy running, building physical computing projects, and developing apps for iOS.
Bashir, Montañez, Sehra, Sandoval-Segura, Lauw. "An Information-Theoretic Perspective on Overfitting and Underfitting". In Australasian Joint Conference on Artificial Intelligence (AJCAI), 2020. [arXiv:2010.06076]
Sandoval-Segura, Lauw, Bashir, Shah, Sehra, Macias, Montañez. "The Labeling Distribution Matrix (LDM): A Tool for Estimating Machine Learning Algorithm Capacity". 12th International Conference on Agents and Artificial Intelligence (ICAART 2020), 2020. [arXiv:1912.10597]
Drissi, Sandoval, Ojha, Medero. "Harvey Mudd College at SemEval-2019 Task 4: The Clint-Buchanan Hyperpartisan News Detector". In Proceedings of The 13th International Workshop on Semantic Evaluation (SemEval), 2019. [arXiv:1905.01962]
Drissi, Watkins, Khant, Ojha, Sandoval, Segev, Weiner, Keller. “Programming Language Translation using a Grammar-Driven Tree-to-Tree Model”. ICML Workshop on Neural Abstract Machines and Program Induction v2 (NAMPI), 2018. [arXiv:1807.01784]
CMSC 421: Introduction to Artificial Intelligence (Spring 2021), Graduate Teaching Assistant, University of Maryland at College Park
CMSC 421: Introduction to Artificial Intelligence (Fall 2020), Graduate Teaching Assistant, University of Maryland at College Park
CMSC 436: Programming Handheld Systems (Fall 2019), Graduate Teaching Assistant, University of Maryland at College Park
CS 81: Computability and Logic (Spring 2019), Grader and Tutor, Harvey Mudd College
MATH 187: Operations Research (Spring 2019), Grader, Harvey Mudd College
An implementation of the GD-UAP algorithm in PyTorch. This code can be used to generate UAPs which can fool a variety of image classifiers with high accuracy.
I developed experimental software to turn AR-enabled iPhones into 3D-scanners. Here's a point cloud of a full-size pickup truck captured with my iPhone 7:
TapTunes: an iOS app which brings album dashboards to augmented reality. The project won 2nd Place in the Advanced category of the 5C Hackathon in 2017. Here's what a Spotify playlist album tower looks like on top of my college desk:
I recently wired and wrote software for a 32x32 LED matrix that accurately displays time, local weather, and a recent news headline. It uses an Arduino Mega outfitted with an ethernet shield and is installed in my home:
psando AT cs DOT umd DOT edu