"why we do, what we do, defines who we are"
Howdy! I am Arif Arman.
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, ICDE, 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!
News
[05.26] Presented "F5" at ICDE 2026 held in Montreal, Canada.
[04.26] Served as a member of TPC/reviewing panel in SPAA 2026 and IRI 2026.
[04.26] Served as a member of judging panel in Senior Capstone Expo at Texas A&M University.
[03.26] Served as a member of judging panel in Student Research Week at Texas A&M University.
[02.26] Our paper "F5: A Robust SIMD-Accelerated MSD Radix Sort" is acceped in IEEE ICDE 2026.
[12.25] Awarded certification for completing the UR2PhD Graduate Student Mentor Training Course by Computing Research Association (CRA).
[11.25] Our paper "Typhoon: A Slice-Scrambled In-Place LSD Sort" is accepted in IEEE Bigdata 2025 and nominated for the Best Paper Award.
[05.24] Will be working as a Summer Intern at Microsoft Research.
[02.24] Became a Permanent Resident of the U.S..
[09.23] Passed my preliminary exam. Officialy a Ph.D. candidate now!
[09.22] Presented "Origami" at VLDB 2022 held in Sydney, Australia. [Slides]
[06.22] Invited talk on "Origami" at Microsoft Research Gray Systems Lab. [Slides]
[11.21] Codebase for "Origami" published in: GitHub.
[09.21] Our paper "Origami: A High-Performance Mergesort Framework" got accepted in VLDB 2022!
[06.21] Will be working as a Summer Intern at Google SysInfra.
[08.20] Will be working as the Teaching Assistant for CSCE 612: Networks and Distributed Processing and CSCE 313H: Introduction to Computer Systems (honors).
[12.19] Our paper "Vortex: Extreme-Performance Memory Abstractions for Data-Intensive Streaming Applications" is accepted in ACM ASPLOS 2020.
[08.18] Starting my Ph.D. in Computer Science under the supervision of Dr. Dmitri Loguinov at Texas A&M University.
