Research Interests
Energy-efficient electronics
Two-dimensional materials
Neuromorphic Computing
Optoelectronics
Wide bandgap materials
High power electronics
Radiation effects and reliability
Bio
Roy's work focuses on developing hardware for artificial intelligence applications using novel functional materials including two-dimensional materials. By modeling computer architecture after the basic structure of synapses and neurons, hardware can be manufactured to be better adapted to pattern recognition algorithms. She also focuses on high-power electronics made with gallium nitride and other wide bandgap semiconductors. She is currently working on investigating the defects produced by ionizing radiation in GaN devices. She is particularly interested in studying the reliability of emerging devices and materials systems using electrical characterization techniques.
Education
- M.S. Vanderbilt University, 2008
- Ph.D. Vanderbilt University, 2011
- Georgia Institute of Technology, 2013
- University of California, Berkeley, 2016
Positions
- Assistant Professor of Electrical and Computer Engineering
Awards, Honors, and Distinctions
- Presidential Early Career Awards for Scientists and Engineers (PECASE). National Science Foundation (NSF). 2024
Courses Taught
- ECE 526: Semiconductor Devices for Integrated Circuits
- ECE 493: Projects in Electrical and Computer Engineering
- ECE 391: Projects in Electrical and Computer Engineering
- ECE 230L: Introduction to Microelectronic Devices and Circuits
- ECE 230L9: Introduction to Microelectronic Devices and Circuits-Lab
In the News
- Tania Roy Shares Her Love of Electrical Engineering with Her Students (Jan 11, 2024 | Duke Research Blog)
- Taming AI’s Outsized Appetite (Jul 25, 2023 | Pratt School of Engineering)
- Tania Roy: Building High-Energy Space Electronics and Brain-Like AI Hardware (Jun 21, 2022 | Pratt School of Engineering)
Representative Publications
- Ko, T. J., H. Li, S. A. Mofid, C. Yoo, E. Okogbue, S. S. Han, M. S. Shawkat, et al. “Erratum: Two-Dimensional Near-Atom-Thickness Materials for Emerging Neuromorphic Devices and Applications (iScience (2020) 23(11), (S2589004220308683), (10.1016/j.isci.2020.101676)).” IScience 28, no. 4 (April 18, 2025). https://doi.org/10.1016/j.isci.2025.112255.
- Chen, Jiazheng, Arijit Sarkar, Md Sazzadur Rahman, Victoria Ravel, Aaron D. Franklin, and Tania Roy. “Robust Memcapacitive Synapse Array for Energy-Efficient Motion Detection.” ACS Nano 19, no. 16 (April 2025): 15974–82. https://doi.org/10.1021/acsnano.5c02340.
- Han, Sang Sub, Mashiyat Sumaiya Shawkat, Changhyeon Yoo, Chung Won Lee, Justin Cao, Jin Hee Lee, Ki-Young Lee, et al. “Centimeter-Scale Ultrathin Platinum Monosulfide Films with Large Negative Temperature Coefficient of Resistance for Deformable Visible-to-Mid-Infrared Photodetectors.” ACS Applied Materials & Interfaces 17, no. 10 (March 2025): 15764–74. https://doi.org/10.1021/acsami.4c16559.
- Rahman, M. S., A. Sarkar, D. R. D. Silva, A. T. Harrison, Y. H. Kuo, J. Chen, A. I. Khan, and T. Roy. “Accurate Bias Stress Instability Measurements in High-Performance ITO FETs Using Modified On-the-Fly Technique.” IEEE Electron Device Letters 46, no. 5 (January 1, 2025): 864–67. https://doi.org/10.1109/LED.2025.3554214.
- Islam, M. M., M. S. Rahman, H. Heldmyer, S. S. Han, Y. Jung, and T. Roy. “Bio-inspired “Self-denoising” capability of 2D materials incorporated optoelectronic synaptic array.” Npj 2D Materials and Applications 8, no. 1 (December 1, 2024). https://doi.org/10.1038/s41699-024-00458-9.