Hello, I’m a PhD student in the Department of Computer Science at the University of Maryland, College Park. .
Variability in Test Artifacts Across Devices w/ Myra Cohen, Atif Memon.
Remotely Monitoring Patients w/ Multiple Sclerosis Using a Smart Phone w/ Atif Memon, Bibi Bielekova.
Modeling App Behavior from Multiple Artifacts w/ Myra Cohen, Atif Memon.
Using Static Analysis and Machine Learning to Detect Malicious Apps at Scale (DARPA) w/ Tom Yeh, Bor-Yuh Evan Chang, Atif Memon, Khalid Alharbi, Sam Blackshear.
 “Piecing Together App Behavior from Multiple Artifacts: A Case Study” by Emily Kowalczyk, Atif Memon, and Myra B. Cohen, in The Proceedings of the 26th IEEE International Symposium on Software Reliability Engineering (ISSRE), 2015.
 “Extending Manual GUI Testing Beyond Defects by Building Mental Models of Software Behavior” by Emily Kowalczyk and Atif Memon, in The Proceedings of the Sixth International Workshop on Testing Techniques for Event BasED Software (TestBeds 2015), 2015.
 “Exploiting the Saturation Effect in Automatic Random Testing of Android Applications” by Domenico Amalfitano, Nicola Amatucci, Anna Rita Fasolino, Porfirio Tramontana, Emily Kowalczyk, and Atif Memon, in The Proceedings of the 2nd ACM International Conference on Mobile Software Engineering and Systems (MOBILESoft 2015), 2015.
 “Android apps consistency scrutinized” by Khalid Alharbi, Sam Blackshear, Emily Kowalczyk, Atif M. Memon, Bor-Yuh Evan Chang, and Tom Yeh, in The ACM Conference on Human Factors in Computing Systems Extended Abstracts (CHI 2014), 2014.
Apple, Intern, Spring & Summer 2018
CMSC 737 - Fundamentals of Software Testing, Fall 2017
CMSC 436 - Programming Handheld Systems, Fall 2016 & Spring 2017
BUDT 758 - Mobile App Development: Engineering Mobile Apps for Health, Spring 2014
National Institute of Health (NIH), Intramural Research and Training Award w/ Dr. Bielekova, Summer & Fall 2017
University of Maryland, College Park, MD
College of Computer, Mathematical, and Natural Sciences
• Ph.D., Computer Science, GPA 3.9/4.0, expected graduation Dec. 2019
• M.S., Computer Science
• B.S., Computer Science
Information-Centric Design of Systems, Reinforcement Learning, Computational Linguistics I & II, Artificial Life & Genetic Algorithms, Computational Systems Biology, Intro. to Compilers, Social Network Analysis, Intro. to Quantum Information Processing