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 motivated and hard-working PhD students who are interested in LLMs/NLP to join my research group.

Research Grants

• NSF: Collaborative Research: SaTC: CORE: Small: Toward Personalized and Trustworthy Mobile App Recommendations via Grounding App Behaviors; PI: A.B. Siddique, collaborator: Umar Farooq (Louisiana State University). Amount: $300,000; Start Date: 10/1/2025, End Date 9/30/2028. Details
• 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

• Krishna Upadhyay, Vinaik Chhetri, A.B. Siddique, and Umar Farooq. Analyzing the evolution and maintenance of quantum computing repositories, arXiv e-prints, 2025.
• Muhammad Umair Haider, Hammad Rizwan, Hassan Sajjad, Peizhong Ju, and A.B. Siddique. Neurons Speak in Ranges: Breaking Free from Discrete Neuronal Attribution, arXiv preprint arXiv:2502.06809, 2025.
• Moghis Fereidouni, Md Sajid Ahmed, Adib Mosharrof, and A.B. Siddique. Improving Multi-turn Task Completion in Task-Oriented Dialog Systems via Prompt Chaining and Fine-Grained Feedback, arXiv preprint arXiv:2502.13298, 2025.
• Adib Mosharrof, Moghis Fereidouni, and A.B. Siddique. Evaluating and Enhancing Out-of-Domain Generalization of Task-Oriented Dialog Systems for Task Completion without Turn-level Dialog Annotations, arXiv preprint arXiv:2502.13310, 2025.
• Joseph Strauss, Krishna Upadhyay, A.B. Siddique, Ibrahim Baggili, and Umar Farooq. Assessing and Enhancing Quantum Readiness in Mobile Apps, arXiv preprint arXiv:2506.00790, 2025.
• Vinaik Chhetri, Krishna Upadhyay, A.B. Siddique, and Umar Farooq. What Users Value and Critique: Large-Scale Analysis of User Feedback on AI-Powered Mobile Apps, arXiv preprint arXiv:2506.10785, 2025.
• MH Maqbool, Moghis Fereidouni, Umar Farooq, A.B. Siddique, and Hassan Foroosh. INTERPOS: Interaction Rhythm Guided Positional Morphing for Mobile App Recommender Systems, arXiv preprint arXiv:2506.12661, 2025.
• Vinaik Chhetri, Yousaf Reza, Moghis Fereidouni, Srijata Maji, Umar Farooq, and A.B. Siddique. A Framework for Generating Conversational Recommendation Datasets from Behavioral Interactions, arXiv preprint arXiv:2506.17285, 2025.
• Krishna Upadhyay, Vinaik Chhetri, A.B. Siddique, and Umar Farooq. Analyzing the Evolution and Maintenance of Quantum Software Repositories, arXiv preprint arXiv:2501.06894, 2025.
• Muhammad Hasan Maqbool, Moghis Fereidouni, A.B. Siddique, and Hassan Foroosh. Model-agnostic zero-shot intent detection via contrastive transfer learning, International Journal of Semantic Computing, (World Scientific Publishing Company), Volume 18, 2024.
• Halima Abukadah, Moghis Fereidouni, and A.B. Siddique. Mapping natural language intents to user interfaces through vision-language models, 2024 IEEE 18th International Conference on Semantic Computing (ICSC), (IEEE), 2024.
• Srijata Maji, Moghis Fereidouni, Vinaik Chhetri, Umar Farooq, and A.B. Siddique. Mobileconvrec: A conversational dataset for mobile apps recommendations, arXiv preprint arXiv:2405.17740, 2024.
• Muhammad Umair Haider, Umar Farooq, A.B. Siddique, and Mark Marron. Looking into black box code language models, arXiv preprint arXiv:2407.04868, 2024.
• Moghis Fereidouni, Adib Mosharrof, and A.B. Siddique. Grounded language agent for product search via intelligent web interactions, arXiv preprint arXiv:2404.10887, 2024.
• Adib Mosharrof, and A.B. Siddique. Training Zero-Shot Generalizable End-to-End Task-Oriented Dialog System Without Turn-level Dialog Annotations, arXiv preprint arXiv:2407.15055, 2024.
• Ayesha S Dina, A.B. Siddique, and D Manivannan. A deep learning approach for intrusion detection in Internet of Things using focal loss function, Internet of Things, (Elsevier), Volume 22, 2023.
• Muhammad Hasan Maqbool, Umar Farooq, Adib Mosharrof, A.B. Siddique, and Hassan Foroosh. Mobilerec: A large scale dataset for mobile apps recommendation, Proceedings of the 46th international ACM SIGIR conference on research and development in information retrieval, 2023.
• Muhammad Hasan Maqbool, Fahad Ahmed Khan, A.B. Siddique, and Hassan Foroosh. Robust zero-shot intent detection via contrastive transfer learning, 2023 IEEE 17th International Conference on Semantic Computing (ICSC), (IEEE), 2023.
• Adib Mosharrof, Moghis Fereidouni, and A.B. Siddique. Toward Open-domain Slot Filling via Self-supervised Co-training, Proceedings of the ACM Web Conference 2023, 2023.
• Adib Mosharrof, Muhammad Hasan Maqbool, and A.B. Siddique. Zero-shot generalizable end-to-end task-oriented dialog system using context summarization and domain schema, arXiv preprint arXiv:2303.16252, 2023.
• Dina Ayesha S, and A.B. Siddique. FS3: Few-shot and self-supervised framework for efficient intrusion detection in Internet of Things networks, Proceedings of the 39th Annual Computer Security Applications Conference, 2023.
• Ayesha Siddiqua Dina, A.B. Siddique, and D Manivannan. Effect of balancing data using synthetic data on the performance of machine learning classifiers for intrusion detection in computer networks, Ieee Access, (IEEE), Volume 10, 2022.
• Muhammad Hasan Maqbool, Luxun Xu, A.B. Siddique, Niloofar Montazeri, Vagelis Hristidis, and Hassan Foroosh. Zero-label anaphora resolution for off-script user queries in goal-oriented dialog systems, 2022 IEEE 16th International Conference on Semantic Computing (ICSC), (IEEE), 2022.
• A.B. Siddique, Muhammad Hasan Maqbool, Kshitija Taywade, and Hassan Foroosh. Personalizing task-oriented dialog systems via zero-shot generalizable reward function, Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022.
• Moghis Fereidouni, Adib Mosharrof, Umar Farooq, and A.B. Siddique. Proactive prioritization of app issues via contrastive learning, 2022 IEEE International Conference on Big Data (Big Data), (IEEE), 2022.
• A.B. Siddique, Fuad Jamour, and Vagelis Hristidis. Linguistically-enriched and context-awarezero-shot slot filling, Proceedings of the Web Conference 2021, 2021.
• Ahmed Eldawy, Vagelis Hristidis, Saheli Ghosh, Majid Saeedan, Akil Sevim, A.B. Siddique, Samriddhi Singla, Ganesh Sivaram, Tin Vu, and Yaming Zhang. Beast: Scalable exploratory analytics on spatio-temporal data, Proceedings of the 30th ACM International Conference on Information & Knowledge Management, 2021.
• Nhat Le, A.B. Siddique, Fuad Jamour, Samet Oymak, and Vagelis Hristidis. Predictable and adaptive goal-oriented dialog policy generation, 2021 IEEE 15th International Conference on Semantic Computing (ICSC), (IEEE), 2021.
• Nhat Le, A.B. Siddique, Fuad Jamour, Samet Oymak, and Vagelis Hristidis. Generating predictable and adaptive dialog policies in single-and multi-domain goal-oriented dialog systems, International Journal of Semantic Computing, (World Scientific Publishing Company), Volume 15, 2021.
• A.B. Siddique, Fuad Jamour, Luxun Xu, and Vagelis Hristidis. Generalized zero-shot intent detection via commonsense knowledge, Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021.
• A.B. Siddique, Samet Oymak, and Vagelis Hristidis. Unsupervised paraphrasing via deep reinforcement learning, Proceedings of the 26th ACM SIGKDD international conference on knowledge discovery & data mining, 2020.
• Umar Farooq, A.B. Siddique, Fuad Jamour, Zhijia Zhao, and Vagelis Hristidis. App-aware response synthesis for user reviews, 2020 IEEE International Conference on Big Data (Big Data), (IEEE), 2020.
• Abu Bakar Siddique, Ahmed Eldawy, and Vagelis Hristidis. Comparing synopsis techniques for approximate spatial data analysis, Proceedings of the VLDB Endowment, Volume 12, 2019.
• A.B. Siddique, Ahmed Eldawy, and Vagelis Hristidis. Euler++: Improved selectivity estimation for rectangular spatial records, 2019 IEEE International Conference on Big Data (Big Data), (IEEE), 2019.
• A.B. Siddique, and Ahmed Eldawy. Experimental evaluation of sketching techniques for big spatial data, Proceedings of the ACM Symposium on Cloud Computing, 2018.

Professional Experience

Education

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

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.