Mir Mahathir Mohammad

Computer Science Ph.D. Student, University of Utah

I am a Computer Science Ph.D. student at the Kahlert School of Computing, University of Utah, supervised by El Kindi Rezig. My research interests lie in data systems, data lakes, data discovery and integration, data wrangling, data cleaning and AI for Data Management.

Publications

SIGMOD 2026 — Qualitative Join Discovery in Data Lakes using Examples

Mir Mahathir Mohammad, El Kindi Rezig.

a system for discovering hybrid join paths (combining semantic and equi-joins) in data lakes using query-by-example, supporting hidden tables and semantic tuple matching

SIGMOD 2026 — SemDisc: An End-to-End Query-by-Example Semantic Join Discovery System

Mir Mahathir Mohammad, El Kindi Rezig.

an interactive system enabling users to discover hybrid join paths in schema-less data lakes through a query-by-example interface

SIGMOD 2026 — NLDisc: Intent-aware Join Discovery using Natural Language

Mir Mahathir Mohammad, El Kindi Rezig.

a system for intent-aware join discovery over data lakes using natural language queries with interactive intent disambiguation and join path diversification

VLDB 2026 — LORY-J: Location-aware Join Discovery from Data Lakes

Lu Xing, Mir Mahathir Mohammad, Walid G. Aref, El Kindi Rezig.

a system for location-aware join discovery in data lakes that treats spatial attributes as first-class signals, composing hybrid join paths through an interactive, map-driven interface

CIDR 2026 — Towards Scalable Visual Data Wrangling via Direct Manipulation

El Kindi Rezig, Mir Mahathir Mohammad, Nicolas Baret, Ricardo Mayerhofer, Andrew McNutt, Paul Rosen.

a visual data wrangling system that enables users to clean and repair data anomalies through direct manipulation of interactive visualizations

VLDB 2025 — Sort it Like You Mean It: Discovering Semantically Interesting Attribute Augmentations to Sort Tables

Akash Khatri, Mir Mahathir Mohammad, El Kindi Rezig.

Recommends semantically meaningful ways to sort tables by automatically discovering and augmenting attributes from data lakes using LLMs.

FG 2024 — BTVSL: A Novel Sentence-Level Annotated Dataset for Bangla Sign Language Translation

Iftekhar E Mahbub Zeeon, Mir Mahathir Mohammad, Muhammad Abdullah Adnan.

Introduces the first large-scale sentence-level dataset for Bangla Sign Language translation.

Neurocomputing 2022 — A survey on deep learning based POI recommendations

Md. Ashraful Islam, Mir Mahathir Mohammad, Sarkar Snigdha Sarathi Das, Mohammed Eunus Ali.

Categorizes deep learning approaches for POI recommendation systems in location-based social networks.

Videos

Skills & Experience

Current Position

Graduate Research Assistant, Kahlert School of Computing, University of Utah.

Computer Science, August 2023 – Present.

Supervisors

Ph.D. Supervisor: El Kindi Rezig, Assistant Professor at the Kahlert School of Computing, University of Utah; formerly a postdoctoral associate at MIT CSAIL, Ph.D. in Computer Science from Purdue University.

Undergraduate Thesis Supervisor: Muhammad Abdullah Adnan, Professor in CSE at BUET, Ph.D. in Computer Science and Engineering from UCSD.

Education

Graduate Studies (Ph.D.), Computer Science, Kahlert School of Computing, University of Utah, August 2023 – Present.

Master of Science, Computer Science, Kahlert School of Computing, University of Utah, August 2023 – December 2025.

Bachelor of Science, Computer Science and Engineering, Bangladesh University of Engineering and Technology (BUET), Dhaka, Bangladesh, April 2017 – April 2022.