Doctoral Candidates Scheduled for Final Oral Examinations of the Dissertation

Final oral examinations are open all members of the University community and the public, unless attendance is restricted by the Graduate Studies Committee. Questions should be directed to the Office of the Vice-Provost and Dean of Graduate Studies, Degree Evaluators at (512) 471-4511.

Student Name Major Chair Name Date, Time, Location Title
JUETTEN, KYLE CHEMISTRY Brodbelt, Jennifer S MARCH 13, 2026; 10:00 AM TO 11:30 AM; WEL 4.260 KYLE JUETTEN'S DISSERTATION DEFENSE
LI, RUOYU PETROLEUM ENGINEERING Mohanty, Kishore MARCH 13, 2026; 9:30 AM TO 12:30 PM; BRONS ROOM CPE 3D PORE-SCALE REACTIVE TRANSPORT MODELING USING THE LATTICE BOLTZMANN METHOD
COWAN, LENNEX E N AFRICAN AND AFRICAN DIASPORA STUDIES (PHD) Brown, Keffrelyn D, Young, Hershini MARCH 23, 2026; 11:00AM; GWB 3.200A EMBRACING THE TEACHABLE MOMENT 2.0: THE DIMENSIONS OF BLACK PEDAGOGICAL PERFORMANCE
DIVINE, MADELINE PSYCHOLOGY - CLINICAL Champagne, Frances A, Josephs, Robert A MARCH 23, 2026; 8:00 AM TO 10:00 AM; SEA 5.556 A LONGITUDINAL INVESTIGATION OF ENDOCRINE RESPONSES TO ACUTE STRESS AS PREDICTORS OF SUICIDAL SYMPTOMS
DUNCAN, ADDIE MATHEMATICS Kileel, Joseph D MARCH 23, 2026; 4:00PM CST; PMA12.166 AND ONLINE HIGHER-ORDER AND GLOBAL METHODS FOR GROUP SYNCHRONIZATION
DUNN, KAMERON AMERICAN STUDIES Beasley, Alex A, Davis, Janet M MARCH 23, 2026; 2:00PM CST; BUR 214 AESTHETIC CREATURES: FURRIES, STYLE, AND THE INTIMACY OF MASS CONSUMPTION
SISTLA, MEGHANA APARNA COMPUTER SCIENCE Chaudhuri, Swarat MARCH 23, 2026; 3:00-5:00PM; GDC 5.816 SUCCINT FUNCTION REPRESENTATIONS FOR SIMULATION AND VERIFICATION
LIN, CHIEN-YU BIOMEDICAL ENGINEERING Rausch, Manuel K MARCH 24, 2026; 10:00AM CST; BME 3.204 THE COMPLEX HISTOMECHANICS OF MEMBRANOUS SOFT TISSUES IN AGE, SEX AND DISEASE
MEWAR, ADITYA PHYSICS MACDONALD, ALLAN H MARCH 24, 2026; 3:00 PM TO 5:00 PM; PMA 5.208 MODELING MESOSCOPIC MOIRE MATERIALS
MUNOZ EWALD, PATRICIA MATHEMATICS Chen, Thomas MARCH 24, 2026; 12:30PM CST; PMA 11.176 TRUNCATION MAPS AND GEOMETRY OF DEEP LEARNING