معرفی
Sarah Levitan is an Assistant Professor in the Department of Computer Science at Hunter College and a doctoral faculty member in the Computer Science and Linguistics PhD programs at the CUNY Graduate Center. She holds a PhD (2019) and MS from Columbia University and a BS from Brooklyn College. Her research focuses on spoken language processing, with special emphasis on paralinguistic aspects of speech and computational methods for analyzing deception, misinformation, and speaker traits.
Her key research areas include acoustic-prosodic and lexical analysis of speech to identify deception cues, trustworthiness perception in conversational agents, and mental health analysis through social media data. She has developed methodologies for detecting hate speech, radicalization content, and psychiatric conditions from online text and speech.
Recent work highlights include studies on cross-lingual trust perception in dialogues, multimodal deception detection systems, and computational models for analyzing speaker states. Her research has been supported by NSF grants ($298k as PI), Google Cyber NYC ($80k), and the Air Force Office of Scientific Research ($764k as Co-PI).
Levitan leads the Hunter Speech Lab, mentoring 3 PhD students, 4 MS students, and 2 undergraduates. She has published over 30 peer-reviewed articles and received the 2015 Cognitive Conference Best Paper Award. Her teaching portfolio includes undergraduate/graduate courses in Natural Language Processing, Computational Linguistics, and Computer Theory.
Funded projects include $20M ARNI Institute (Senior Personnel) and NSF EAGER grant exploring trust perception in AI agents. Current research trends focus on hybrid acoustic-lexical models, human-AI collaboration in speech analysis, and ethical applications of NLP in media.
