Md Abdus Salam Siddique

Md Abdus Salam Siddique

Assistant Professor — Department of Engineering and Computing Sciences

Arkansas Tech University

Entity Resolution Graph Algorithms Machine Learning Data Quality

About Me

I am an Assistant Professor in the Department of Engineering and Computing Sciences at Arkansas Tech University, where I have been serving since August 2022. My work sits at the intersection of graph technology, entity resolution, and machine learning, with a focus on solving real-world data quality challenges at scale.

I completed my Ph.D. in Information Science (Quality Track) at the University of Arkansas at Little Rock, where my dissertation explored the application of graph technology for improving entity resolution results in the context of group membership. I hold a Master of Science in Computer Science & Technology from the University of Arkansas at Pine Bluff and a Bachelor of Science in Computer Science & Engineering from Stamford University, Bangladesh.

Beyond research, I am passionate about teaching and mentoring the next generation of computing professionals. I serve on curriculum development and ABET accreditation committees and have contributed to multiple faculty hiring committees.

Contact

Research Interests

  • Entity Resolution
  • Graph Algorithms
  • Graph Databases
  • Data Quality
  • Data Mining
  • Machine Learning
  • Computer Vision
  • Bioinformatics

Education

Ph.D. in Information Science — Quality Track

2022

University of Arkansas at Little Rock • Little Rock, AR

Dissertation: The Application of Graph Technology for Improving Entity Resolution Results in the Context of Group Membership

M.S. in Computer Science & Technology

2017

University of Arkansas at Pine Bluff • Pine Bluff, AR

B.S. in Computer Science & Engineering

2011

Stamford University • Dhaka, Bangladesh

Research

Entity Resolution & Graph Technology

Developing graph-based approaches to entity resolution, including unsupervised clustering methods using modularity optimization and locality-sensitive hashing for large-scale record linkage.

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Machine Learning & Computer Vision

Applying convolutional neural networks for disease detection in aquaculture, and machine learning classifiers for toxicity classification in natural language contexts.

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Privacy-Preserving AI Systems

Designing federated retrieval-augmented generation (RAG) systems that preserve data privacy while enabling efficient question-answering over personal documents.

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Data Quality & Bioinformatics

Working with tools like OYSTER and the Data Washing Machine for data quality assessment, and developing web interfaces for DNA methylation analysis pipelines.

Publications

View full profile on Google Scholar →

2026

FedRAG: A Federated Retrieval-Augmented Generation System with Advanced Privacy and Efficiency

KM Chirumamilla, MAS Siddique

Journal of Computing Sciences in Colleges, Vol. 41(10)

2026

Privacy-Preserving RAG System for Personal Document Question Answering

KM Chirumamilla, MAS Siddique

2026 IEEE 16th Annual Computing and Communication Workshop and Conference

2025

Enhancing Disease Detection in the Aquaculture Sector Using Convolutional Neural Networks Analysis

H Tamut, R Ghosh, K Gosh, MAS Siddique

Aquaculture Journal, 5(1)

📄 24 citations
2024

Household Discovery with Group Membership Graphs

OK Mohammed, JR Talburt, K Syed, AS Siddiqui, A Mohammed, et al.

ITNG 2024: 21st International Conference on Information Technology — New Generations

📄 4 citations
2022

Graph-Based Hierarchical Record Clustering for Unsupervised Entity Resolution

IA Ebeid, JR Talburt, MAS Siddique

ITNG 2022: 19th International Conference on Information Technology — New Generations

📄 9 citations
2022

ModER: Graph-Based Unsupervised Entity Resolution Using Composite Modularity Optimization and Locality Sensitive Hashing

J Talburt et al. (incl. MAS Siddique)

International Journal of Advanced Computer Science and Applications, 13(9)

📄 3 citations
2022

The Application of Graph Technology for Improving Entity Resolution Results in the Context of Group Membership

MAS Siddique

Dissertations & Theses — University of Arkansas at Little Rock

2021

Toxicity Classification on Music Lyrics Using Machine Learning Algorithms

MAS Siddique, MI Sarker, R Ghosh, K Gosh

24th International Conference on Computer and Information Technology (ICCIT 2021), Dhaka, Bangladesh

📄 15 citations

Teaching

Courses taught at Arkansas Tech University.

Undergraduate Courses

  • COMS 1011 Programming I
  • COMS 1013 Programming I Lab
  • CSEC 1113 Introduction to Networking
  • COMS 3233 Database Design and Implementation
  • COMS 3413 App Development
  • COMS 3707 Operating System
  • COMS 3503 Visual Programming
  • COMS 4213 Database Administration
  • CSEC 4143 Building Secure Software

Graduate Courses

  • INFT 5203 Database Systems
  • INFT 5303 Developing and Administering Web Sites
  • INFT 6203 Database Development and Administration
  • INFT 6303 Design of Web-Based Information System