Notice: Function _load_textdomain_just_in_time was called incorrectly. Translation loading for the acf domain was triggered too early. This is usually an indicator for some code in the plugin or theme running too early. Translations should be loaded at the init action or later. Please see Debugging in WordPress for more information. (This message was added in version 6.7.0.) in /opt/bitnami/wordpress/wp-includes/functions.php on line 6131

Notice: Function _load_textdomain_just_in_time was called incorrectly. Translation loading for the filebird domain was triggered too early. This is usually an indicator for some code in the plugin or theme running too early. Translations should be loaded at the init action or later. Please see Debugging in WordPress for more information. (This message was added in version 6.7.0.) in /opt/bitnami/wordpress/wp-includes/functions.php on line 6131

Notice: Function acf_get_value was called incorrectly. Advanced Custom Fields - We've detected one or more calls to retrieve ACF field values before ACF has been initialized. This is not supported and can result in malformed or missing data. Learn how to fix this. Please see Debugging in WordPress for more information. (This message was added in version 5.11.1.) in /opt/bitnami/wordpress/wp-includes/functions.php on line 6131

Deprecated: preg_replace(): Passing null to parameter #3 ($subject) of type array|string is deprecated in /opt/bitnami/wordpress/wp-includes/kses.php on line 2018

Hernisa Kacorri

Hernisa Kacorri

Associate Professor

hernisa@umd.edu
  2118A Hornbake Building, South Wing
http://hernisakacorri.com

Availability to Accept New PhD Students

This faculty member is NOT currently accepting Ph.D. students

BIO

Dr. Hernisa Kacorri is an associate professor with a joint appointment in the College of Information and the University of Maryland Institute for Advanced Computer Studies (UMIACS). She also holds an affiliate appointment in the Department of Computer Science and serves as a core faculty at the Trace RERC. She received her Ph.D. in Computer Science from The Graduate Center at City University of New York, and has conducted research at the University of Athens, IBM Research-Tokyo, Lawrence Berkeley National Lab, and Carnegie Mellon University. Her research focuses on accessibility and human-centered artificial intelligence, with a mix of participatory methods and rigorous, experimental approaches for assessing impact. Her most recent work on teachable machines does not see end-users as passive consumers but as active directors of AI-infused technology.

Hernisa is recipient of a Mina Rees Dissertation Fellowship in the Sciences and was recognized by the Rising Stars in EECS program of CMU/MIT. Her collaborations with students, colleagues, and advisors have received honorable mention and best paper awards at ACM ASSETS, ACM CHI, IEEE WACV, IEEE VL/HCC. Her work is funded by NSF and NIDILRR.