Research Interest

My research focuses on natural language processing, information retrieval, and scalable machine learning. Specifically, I investigate large language models and dialog systems with the goal of developing zero-shot generalizable, personalizable, interpretable, and safe conversational AI systems. Additionally, I explore scalable language modeling methodologies across disciplines in collaboration with domain experts.

My research has appeared in top venues such as WWW, SIGIR, KDD, CIKM, and VLDB.

I am looking for enthusiastic PhD and MS students who are interested in LLMs/NLP to join my research group at Computer Science department at the University of Kentucky.

Research Grants

  • NSF: III: Small: Toward User-Centric Task-Oriented Dialog Systems via Zero-shot Adaptation and Personalization; PI: A.B. Siddique, co-PI: Brent Harrison. Amount: $599,898; Start Date: 9/1/2024, End Date 8/31/2027. Details
  • NSF: Planning: DCL EPSCOR: CISE Large: Distributed Edge Intelligence in Support of Next-Generation Applications; PI: Simone Silvestri, co-PIs: A.B. Siddique, and collaborators from Penn State University. Amount: $100,000; Start Date: 10/1/2024, End Date 9/30/2026. Details

Publications

Professional Experience

University of Kentucky

08/2021 - Present: Assistant Professor

University of California, Riverside

09/2017 - 06/2021: Graduate Student Researcher

University of Management & Technology, Pakistan

09/2009 - 08/2017: Lecturer

Education

Ph.D. in Computer Science
09/2017 - 06/2021

University Of California, Riverside
Advisor: Professor Vagelis Hristidis

M.S. in Computer Science
08/2008 - 06/2011

Lahore University of Management Sciences, Pakistan

B.S. in Computer Science
08/2003 - 01/2008

International Islamic University, Pakistan

Teaching Expertise

  • Natural Language Processing with Deep Neural Networks
    Spring '22, Spring '23.
  • Machine Learning
    Fall '21, Fall '22, Fall '23, Fall '24, Fall '25.
  • Algorithm Design
    Fall '23, Fall '24.
  • Intermediate Topics in Database Systems
    Spring '24.
  • Advanced Web Technologies
    Spring '15, Spring '16, Spring '17.
  • Big Data Programing
    Spring '15, Spring '16, Spring '17.
  • Artificial Intelligence
    Spring '10, Spring '11, Spring '12, Spring '15, Spring '16, Spring '17.
  • Internet Applications Design and Development
    Fall '12, Fall '13, Fall '14, Fall '15, Fall '16.
  • Advanced Software Development
    Fall '14, Fall '15, Fall '16.
  • Mobile Application Development - Android
    Fall '14, Fall '15, Fall '16.
  • iPhone Applications Development
    Spring '13, Spring '14.
  • Web Technologies
    Spring '13, Spring '14.
  • Programing Fundamentals
    Spring '13, Spring '14.
  • Software Project Management
    Fall '12, Fall '13.
  • Testing and Quality Assurance
    Fall '12, Fall '13.
  • Object Oriented Programing
    Spring '10, Spring '11, Spring '12.
  • Software Engineering
    Spring '10, Spring '11, Spring '12.
  • Analysis of Algorithms
    Fall '09, Fall '10, Fall '11.
  • Data Structures and Algorithms
    Fall '09, Fall '10, Fall '11.
  • Object Oriented Design and Programing
    Fall '09, Fall '10, Fall '11.

Graduate Students

Current Students

Adib Mosharrof (PhD Candidate)
Moghis Fereidouni (PhD Candidate)
Muhammad Umair Haider (PhD Candidate)

Alumni

Ayesha Siddiqua Dina (Co-adviser: PhD '23 Assistant Professor at Florida Polytechnic University)
Srijata Maji (Adviser: MS '24)
Halima Abukadah (Adviser: MS '24)
James Bundy (Adviser: MS '24)
Mir Al-Masud (Adviser: MS '24)
John Stacy (Adviser: MS '25)

Service & Outreach

  • Program Committees
    ACL RR 21-25, NeurIPS 21-25, ICML 20-25, ICLR 21-25, WWW 21-25, ACM KDD 23-25, AAAI 22-25, CIKM 22-25, IEEE ICSC 22-25, IEEE Big Data 24-25.
  • Outreach
    Host high school students in the lab via Summer Youth Program at the University of Kentucky.