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David Markowitz is an academic expert in automated text analysis and psychological dynamics. At the University of Oregon, he is an assistant professor of social media data analytics. He researches what our digital traces reveal about us, using computational approaches to analyze how social and psychological phenomena鈥攕uch as deception, persuasion, and status鈥攁re reflected in language. He also evaluates how the communication processes we perform on various media, including mobile phones and immersive virtual reality, can reveal what we are thinking, feeling, and experiencing psychologically. For example, his dissertation investigated the psychological and physiological consequences of using, resisting, or being without one鈥檚 mobile device. He received his PhD from Stanford University and his Masters and undergraduate degrees from Cornell University.

Don Daniels documents and describes the underdocumented languages in Papua New Guinea, as well as doing comparative reconstruction. In 2022, he received the National Science Foundation鈥檚 most prestigious award in support of early-career faculty, the CAREER Award. Daniels has been a UO faculty member since 2018. He received his Ph.D. and M.A. in linguistics from University of California, Santa Barbara, and his bachelor鈥檚 degree from Dartmouth. 

 is a  and a  at the University of Illinois Urbana-Champaign. He is the William L. Everitt Faculty Scholar in ECE and holds affiliations in the Department of Speech and Hearing Science, Coordinated Science Lab, , and Department of Computer Science. He also leads the , a new research initiative to make voice recognition technology more useful for people with a range of diverse speech patterns and disabilities. 
Hasegawa-Johnson has been on the faculty at the University of Illinois since 1999. His research addresses automatic speech recognition with a focus on the mathematization of linguistic concepts. His group has developed mathematical models of concepts from linguistics including a rudimentary model of pre-conscious speech perception (the landmark-based speech recognizer), a model that interprets pronunciation variability by figuring out how the talker planned his or her speech movements (tracking of tract variables from acoustics, and of gestures from tract variables), and a model that uses the stress and rhythm of natural language (prosody) to disambiguate confusable sentences. Applications of his research include:

Speech recognition for talkers with cerebral palsy. The automatic system, suitably constrained, outperforms a human listener.

Provably correct unsupervised ASR, or ASR that can be trained using speech that has no associated text transcripts.


Equal Accuracy Ratio regularization: Methods that reduce the error rate gaps caused by gender, race, dialect, age, education, disability and/or socioeconomic class.


Automatic analysis of the social interactions between infant, father, mother, and older sibling during the first eighteen months of life.


Hasegawa-Johnson is currently Senior Area Editor of the journal IEEE Transactions on Audio, Speech and Language and a member of the ISCA Diversity Committee. He has published 308 peer-reviewed journal articles, patents, and conference papers in the general area of automatic speech analysis, including machine learning models of articulatory and acoustic phonetics, prosody, dysarthria, non-speech acoustic events, audio source separation, and under-resourced languages.
Education

Postdoctoral fellow, University of California at Los Angeles, 1996-1999

Ph.D., Massachusetts of Technology, 1996

M.S., Massachusetts Institute of Technology, 1989

Honors

2023: Fellow of the International Speech Communication Association for contributions to knowledge-constrained signal generation

2020: Fellow of the IEEE, for contributions to speech processing of under-resourced languages


2011: Fellow of the Acoustical Society of America, for contributions to vocal tract and speech modeling


2009: Senior Member of the Association for Computing Machinery


2004: Member, Articulograph International Steering Committee; CLSP Workshop leader, "Landmark-Based Speech Recognition”, Invited paper


2004: NAACL workshop on Linguistic and Higher-Level Knowledge Sources in Speech Recognition and Understanding


2003: List of faculty rated as excellent by their students


2002: NSF CAREER award


1998: NIH National Research Service Award


Personal website: 
CV: 

Dr. Kendra Calhoun is an assistant professor in the Department of Anthropology at the University of Illinois Urbana-Champaign. She is an interdisciplinary linguistic anthropologist with a background in linguistics, and her scholarship engages fields including media studies, communication, sociology, education, and Black Studies. Her qualitative research explores critical questions about language, identity, and power in face-to-face and mediated contexts, with particular focus on the language, culture, and experiences of Black people in the United States.
Dr. Calhoun’s research on language, race, gender, humor, and activism on social media includes studies of Vine, Tumblr, and TikTok. She has analyzed racial comedy on Vine as a platform-specific genre of African American humor, “everyday online activism” among Black Tumblr users, and linguistic innovation on TikTok in response to content moderation policies. Her dissertation, “Competing Discourses of Diversity and Inclusion: Institutional Rhetoric and Graduate Student Narratives at Two Minority Serving Institutions,” analyzed diversity discourses, ideologies, and practices in U.S. colleges and universities and their impacts on the experiences of graduate students of color.
Research interests

sociolinguistics
linguistic anthropology
power
identity
language, race, and ethnicity
online discourse
digital culture
social and entertainment media
African American language and culture
diversity discourse in higher education

Education

PhD, Linguistics, University of California, Santa Barbara, 2021
BA, English Language & Literature and Experimental Psychology, University of South Carolina, 2013

Website