Jasmine DeHart is a Doctoral Student in the School of Computer Science at the University of Oklahoma Gallogly College of Engineering. Jasmine is a member of the OU Data Analytics Lab. She is advised by Dr. Christan Grant. Her research interests can be categorized into three areas: Privacy, Human Computer Interaction, and Machine Learning.

Jasmine obtained her BS in Computer Science from Philander Smith College in 2017. During undergrad, she was advised by Dr. Samar Swaid and Dr. Chuanlei Zhang.

Jasmine also leads a team of students conducting research on her project and various related topics. Three undergraduates conduct research under Jasmine's supervision: John Alberse, Lise Egede, & Makya Stell.


Co-Chair :: DataBite Workshop
Volunteer :: Youth Robotics
Mentor :: National Society of Black Engineers
Officer :: Computer Science Graduate Student Association
Member :: Sigma Gamma Rho Sorority, Incorporated.

Awards and Recognitions

Black in AI Workshop Student Travel Grant, 2018
AT&T Labs Graduate Student Travel Award, 2018
VizSec Diversity Scholarship Award, 2018
IEEE Communications Society Conference Student Travel Grant, 2018
ChiMe Workshop Student Travel Grant, 2018
GEM Fellow, 2018 (Declined)
Bridge to the Doctorate Fellow, 2017



Jasmine DeHart, Christan Grant. Visual Content Privacy Leaks on Social Media. The 39th IEEE Symposium on Security and Privacy (S&P). San Franciso, CA. 2018.

Jasmine's Corner: Fresh Off the Press

Presentations 🎒 = poster | 📜 = paper

VIPER: Visual Inspection of Personal Exposed Records

Jasmine DeHart, Christan Grant. AT&T Graduate Student Symposium. New York, NY. 2018.

[poster/images] 🎒


OU Data Analytics Lab @ SIGMOD

This was our first time attending a SIGMOD conference and we would like to take you on this journey with us as we reflect on our experience at SIGMOD 2018.