"why we do, what we do, defines who we are"

Howdy! I am Arif Arman.

📌 I am looking for the next career opportunity from late Summer or early Fall of 2026. You can find details in my updated CV. Note that I am a U.S. Permanent Resident since 02/2024 and do not require any employment visa sponsorship.

I am currently a Ph.D. Candidate and Graduate Research Assistant in the Department of Computer Science and Engineering (CSE) at Texas A&M University (TAMU), College Station, TX, USA. I completed my Bachelor of Science (B.Sc.) in CSE from Bangladesh University of Engineering and Technology (BUET). Previously I worked as a Lecturer in the Department of CSE at United International University (UIU), and as a Software Engineer at REVE Systems Ltd.

My research focus is in algorithm optimization for big-data system components, tailored to extract high-performance from the underlying hardware. This goal has become increasingly critical and challenging due to the exponential growth of data and diverse workloads involving OLAP and AI/ML. These tasks demand efficient data retrieval and rapid processing of complex queries and computations. Therefore, my research interest lies in assessing program flow of such systems, identifying bottlenecks caused by programs oblivious of the advance features of modern complex processors, and improving them through novel methods that ensure high-performance, efficiency, and scalability. I am also fond of computational geometry, spatial databases, and systems dealing with location based services. I have authored and co-authored papers in prestigious international conferences including ASPLOS, VLDB, Bigdata, CIKM and ADC.

In my doctoral research at Texas A&M, supervised by Dr. Dmitri Loguinov, I focused on high-performance SIMD (single instruction, multiple data) sorting of large-scale datasets, focusing on reducing bottlenecks caused by several CPU components and inefficient code generation by the compiler. I am also working on a streaming framework that provides the programmer with a seemingly infinite buffer. I have a strong research background in computer systems, which traces back to my junior-year introduction to database systems. In my undergraduate research, I studied optimization of ranking data points for visibility query processing on spatial databases using R*-Tree, answering questions like “which surveillance camera has the best view of a moving car in the presence of obstacles”.

C/C++ is my favorite programming language as I love to write programs that try to squeeze maximum performance out of the underlying system and architecture. I turn to Python now and then for scripting and analytics tasks.

In my leisure I like to play guitar and ukulele, read books, and travel!