Sisman, berrak

Assistant Professor

berrak.sisman@utdallas.edu
Phone: 9728834895
Office: ECSN 4.208

Research Website

EDUCATION

PhD in Electrical & Computer Engineering, National University of Singapore, Singapore
MS in Electronics Engineering, Isik University, Turkey
BS in Computer Science and Engineering (double major), Isik University, Turkey
BS in Electrical and Electronics Engineering, Isik University, Turkey

OVERVIEW

Dr. Sisman received the PhD degree in Electrical and Computer Engineering from National University of Singapore in 2020, fully funded by A*STAR Graduate Academy under Singapore International Graduate Award (SINGA). She is currently working as a tenure-track Assistant Professor at the Erik Jonsson School Department of Electrical and Computer Engineering at University of Texas at Dallas, United States. Prior to joining UT Dallas, she was a faculty member at Singapore University of Technology and Design (2020-2022), where she taught machine learning and deep learning courses. She was a Postdoctoral Research Fellow at the National University of Singapore (2019-2020). She was an exchange PhD student at the University of Edinburgh and a visiting scholar at The Centre for Speech Technology Research (CSTR), University of Edinburgh (2019). She was a visiting researcher at RIKEN Advanced Intelligence Project in Japan (2018). Her research is focused on machine learning, signal processing, emotion, speech synthesis and voice conversion.

She plays leadership roles in conference organizations and active in technical committees. She has served as the General Coordinator of the Student Advisory Committee (SAC) of International Speech Communication Association (ISCA). She has served as the Area Chair at INTERSPEECH 2021, INTERSPEECH 2022, IEEE SLT 2022 and as the Publication Chair at ICASSP 2022. She has been elected as a member of the IEEE Speech and Language Processing Technical Committee (SLTC) in the area of Speech Synthesis for the term from Jan. 2022 to Dec. 2024.

At UT Dallas, her team develops cutting-edge neural models for speech information processing. If you’re interested in joining her team, please get in touch with her.

RESEARCH INTEREST

Artificial intelligence; machine learning; speech synthesis; emotion.

PEOPLE
OPENINGS

Several positions are available, providing successful candidates with a unique opportunity to shape this nascent department.

FACULTY ORIENTATION
T.A ORIENTATION