Biography

My areas of research include artificial intelligence, natural language processing, and scalable data science. I am particularly interested in unsupervised learning, zero-shot learning, and conversational AI. I investigate emerging research topics in open-domain natural language interfaces and knowledge-grounded response generation, and build reliable and practical solutions that can seamlessly adapt to new unseen domains on-the-fly. Moreover, I am interested in exploring opportunities to leverage NLP and ML methods across disciplines.

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

News

• 03/31/2023 Our paper titled, "MobileRec: A Large Scale Dataset for Mobile Apps Recommendation" is accepted for presentation at SIGIR '23.
• 03/18/2023 Our paper titled, "Schema Guided Zero-Shot Generalizable End-to-End Task Oriented Dialog System using Context Summarization" is accepted for presentation at FLAIRS '23.
• 01/25/2023 Our paper titled, "Toward Open-domain Slot Filling via Self-supervised Co-training" is accepted for presentation at TheWebConf '23 (aka WWW).
• 01/14/2023 Our paper titled, "A Deep Learning Approach for Intrusion Detection in Internet of Things using Focal Loss Function" is accepted for publication the Internet of Things journal.
• 12/16/2022 Our paper titled, "Robust Zero-Shot Intent Detection via Contrastive Transfer Learning" is accepted for presentation at IEEE ICSC '23.

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 '23, Spring '23.
• Machine Learning
  Fall '21, Fall '22, Fall '23.
• Algorithm Design
  Fall '23.

Service & Outreach

• Program Committees
  ACL RR 21-23, NeurIPS ’23, ICML ’23, ACL ’23, ACM KDD ’23, WWW ’23, AAAI ’23, IEEE ICSC ’23, EMNLP ’22, NeurIPS ’22, ICML ’22, WWW ’22, ICRL ’22, CIKM ’22, AAAI ’22, IEEE ICSC ’22, NeurIPS ’21, WWW ’21, ICML ’21, ICLR ’21, ICML ’20.
• Mentoring
  Diversity, Equity, and Inclusion Graduate Summit, UCR 2020.