Scholar
Abrar Majeedi
Google Scholar ID: pcGoUxoAAAAJ
University of Wisconsin-Madison
Citations & Impact
Citations
53
H-index
4
i10-index
2
Publications
12
Co-authors
6
list available
Publications
Resume (English only)
Academic Achievements
- 1. November 2025: Our paper 'Deep learning to assess laryngoscope insertion depth during neonatal intubation with video laryngoscopy' was accepted at Journal of Perinatology.
- 2. July 2025: Our paper 'Agentic Prompt Optimization for Evidence-Grounded Clinical Question Answering' was accepted as an Oral presentation at BioNLP @ ACL 2025.
- 3. June 2025: Our team was awarded 2nd position in the Shared Task on grounded question answering (QA) from electronic health records (ArchEHR-QA 2025) at BioNLP@ACL 2025.
- 4. June 2025: Our paper 'LETS Forecast: Learning Embedology for Time Series Forecasting' has been accepted at the International Conference on Machine Learning (ICML) 2025.
- 5. April 2025: Our team was awarded 1st place in the Machine Learning Challenge at the Pediatric Academic Societies (PAS) 2025 Conference, Honolulu, Hawaii.
- 6. January 2025: Our Poster 'Deep learning to quantify care manipulation activities in neonatal intensive care units' won an Award for Best Innovation in Neonatology at the Cleveland Clinic Children's SHINE (Syposium on Health Innovation and Neonatal Excellence) Conference, Orlando, FL.
- 7. November 2024: Our paper 'RICA2: Rubric-Informed, Calibrated Assessment of Actions' won the Best Poster Award at NSF Poster Competition at Purdue University, West Lafayette, IN.
Research Experience
- Gained valuable research experience through internships at Amazon, Microsoft, and EMC.
Education
- Pursuing a PhD at the University of Wisconsin-Madison, advised by Prof. Yin Li.
Background
- PhD candidate at the University of Wisconsin-Madison, working on multimodal deep learning. Focuses on LLMs, vision-language models, and their applications in sequential data such as videos, sensor data (time series), and text.
Miscellany
- On the job market for Research or Applied Scientist roles starting early 2026.
