Hi! I am a Ph.D. student in the School of Computer Science & Engineering at the University of Washington . I am a part of the databases and programming languages research groups, where I focus on developing tools for verified lifting; a novel synthesis and verification based technique for source-to-source translation of programs. I am advised by Alvin Cheung.
I am interested in building programming systems using synthesis, especially for high-performance computing and big-data management.
MetaLift is a framework for building compilers that target domain-specific languages (DSLs). Unlike traditional syntax-driven compilers, which consists of rules that recognize patterns in the input code and translate them into the target language, MetaLift uses verified lifting to search for possible candidate programs in the target language that the given input can be translated to. This frees the developer from the need to devise, check, and maintain those pesky syntax-driven rules!
HALO is a compiler that uses Verified Lifting (a combination of synthesis and verification) to automatically retarget legacy image processing stencils to Halide. I am working on this project as part of my internship at Adobe under Shoaib Kamil.
Casper is a compiler that uses Verified Lifting (a combination of synthesis and verification) to automatically retarget sequential Java code to MapReduce frameworks such as Apache Spark.
A novel approach for automatic parallelization of single-pass array-processing programs with possible data-dependencies. This project is lead by Grigory Fedyukovich.
 Automatically Leveraging MapReduce Frameworks for Data-Intensive Applications
Maaz Bin Safeer Ahmad and Alvin Cheung SIGMOD 2018 (To Appear)
 Optimizing Data-Intensive Applications Automatically By Leveraging Parallel Data
Maaz Bin Safeer Ahmad and Alvin Cheung SIGMOD 2017 Demo · Honorable Mention for Best Demo Award
 Gradual Synthesis for Static Parallelization of Single-Pass Array-Processing Programs
Grigory Fedyukovich, Maaz Bin Safeer Ahmad and Rastislav Bodik PLDI 2017
 Leveraging Parallel Data Processing Frameworks with Verified Lifting
Maaz Bin Safeer Ahmad and Alvin Cheung SYNT 2016 · Best Student Paper
 Characterizing dengue spread and severity using internet media sources
Talal Ahmad, Nabeel Abdur Rehman, Fahad Pervaiz, Shankar Kalyanaraman, Maaz Bin Safeer Ahmad, Sunandan Chakraborty, Umar Saif and Lakshminarayanan Subramanian ACM DEV 2013