
- nipua@uwm.edu
- 414-251-8229
- Engineering & Mathematical Sciences Building E875
Ayesha Siddika Nipu
- Teaching Faculty II, Computer Science
Ayesha has a diverse background in teaching and working in the software industry. She is interested in exploring new trends in Computer Science and is currently conducting research on the use of Generative AI to improve healthcare experiences using large language models.
Education
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MS, Computer Science, Missouri State University, MO, USA
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BSc, Computer Science & Engineering, Shahjalal University of Science and Technology, Sylhet, Bangladesh
Research Interests
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Natural Language Processing
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Generative AI
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Reinforcement Learning
Selected Publications
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Nipu, A. S., Islam, K. S. & Madiraju, P. "How Reliable AI Chatbots are for Disease Prediction from Patient Complaints?." IEEE 25th International Conference on Information Reuse and Integration for Data Science (IRI). IEEE, 2024.
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Islam, K. S., Nipu, A. S., Madiraju, P., & Deshpande, P. "Autocompletion of Chief Complaints in the Electronic Health Records using Large Language Models." IEEE International Conference on Big Data (BigData). IEEE, 2023.
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Nipu, A. S., Liu, S., & Harris, A. "Enabling Multi-Agent Transfer Reinforcement Learning via Scenario Independent Representation." IEEE Conference on Games (CoG). IEEE, 2023.
Community Involvement
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Junior PC member, International Conference on Mining Software Repositories (MSR 2025)
- Member of IEEE and IEEE Young Professionals
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Program Committee Member, 25th IEEE IRI Conference, 2024
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Reviewer, IEEE Conference on Games (CoG), 2024