Biography

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

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

News

• Received NSF Grant as PI with Brent Harrison (co-PI). III: Small: Toward User-Centric Task-Oriented Dialog Systems via Zero-shot Adaptation and Personalization; Amount: $599,898; Start Date: 9/1/2024, End Date 8/31/2027. Details
• Received Planning Grant from NSF as co-PI with Simone Silvestri (PI) and collaborators from Penn State University. Planning: DCL EPSCOR: CISE Large: Distributed Edge Intelligence in Support of Next-Generation Applications; Amount: $100,000; Start Date: 10/1/2024, End Date 9/30/2025. Details

Selected Publications

Journal / Other Publications

• Ayesha Siddiqua 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, July 2023.
• M.H. Maqbool, F.A. Khan, A.B. Siddique, and Hassan Foroosh. Robust Zero-Shot Intent Detection via Contrastive Transfer Learning, IEEE International Conference on Semantic Computing, (ICSC '23).
• 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, September '22.
• M.H. 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, IEEE International Conference on Semantic Computing, (ICSC '22).
• Nhat Le, A.B. Siddique, Fuad Jamour, Samet Oymak, and Vagelis Hristidis. Predictable and Adaptive Goal-oriented Dialog Policy Generation, IEEE International Conference on Semantic Computing, (ICSC '21).
• 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 (IJSC), December 2021 (volume 15).
• A.B. Siddique, Ahmed Eldawy, and Vagelis Hristidis. Euler++: Improved Selectivity Estimation for Rectangular Spatial Records, IEEE Big Spatial Data Workshop of IEEE International Conference on Big Data 2019, (IEEE BSD '19).
• A.B. Siddique and A. Eldawy. Experimental evaluation of sketching techniques for big spatial data, In Proceedings of the ACM Symposium on Cloud Computing, (SoCC ’18) | Poster.

Graduate Students

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.
• Algorithm Design
  Fall '23, Fall '24.
• Intermediate Topics in Database Systems
  Spring '24.

Service & Outreach

• Program Committees
  ACL RR 21-24, NeurIPS 21-24, ICML 20-24, ICLR 21-25, WWW 21-24, ACM KDD 23-24, AAAI 22-25, CIKM 22-24, IEEE ICSC 22-24, IEEE Big Data '24.
• Mentoring
  Diversity, Equity, and Inclusion Graduate Summit, UCR 2020.