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Mohammad Omar Khursheed
MATS Research Scholar
I grew up in Saudi Arabia and studied computer science at Aligarh Muslim University, India. I completed my MS at UMass Amherst with Mohit Iyyer and Brendan O'Connor, studying gender bias in narrative tropes. I spent five years as an Applied Scientist at Amazon building wakeword models for Alexa, shipping efficient speech systems to hundreds of millions of devices. I'm currently on leave to pursue research interests in AI safety as a scholar at MATS.
Research Interests
Speech & Efficient ML
- Efficient Deep Learning Architectures
- Speech Recognition & Keyword Spotting
- Self-supervised Representations
- Model Compression
AI Safety
- Computational Social Science
- Model Behavior Analysis
- Mechanistic Interpretability
Publications
Small Footprint Slimmable Networks for Keyword Spotting
Akhtar, Khursheed, Du, Liu · IEEE ICASSP
Latency Control for Keyword Spotting
Jose, Wang, Strimel, Khursheed, et al. · INTERSPEECH
Tiny-CRNN: Streaming Wakeword Detection
Khursheed, Jose, Kumar, et al. · IEEE ASRU
Analyzing Gender Bias within Narrative Tropes
Gala*, Khursheed*, Lerner, O'Connor, Iyyer · EMNLP Workshop
Projects
Hansard NLP Explorer
GitHubSocio-technical analysis of the UK Parliament's Hansard Debate Corpus (1803-2005).
Key Findings
- 92.9% accuracy classifying 2,808 suffrage speeches via LLM
- 5,138 arguments extracted across 9 taxonomy categories
- 95% drop in suffrage speeches 1913-1915 (WWI impact)