Assistant Professor of Electrical and Computer Engineering
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.
Appointments and Affiliations
- Assistant Professor of Electrical and Computer Engineering
Contact Information
- Office Location: 101 Science Drive, 3469 Fitzpatrick Ciemas, Durham, NC 27708
- Office Phone: +1 919 660 4215
- Email Address: tania.roy@duke.edu
- Websites:
Education
- M.S. Vanderbilt University, 2008
- Ph.D. Vanderbilt University, 2011
Research Interests
Energy-efficient electronics
Two-dimensional materials
Neuromorphic Computing
Optoelectronics
Wide bandgap materials
High power electronics
Radiation effects and reliability
Courses Taught
- ECE 526: Semiconductor Devices for Integrated Circuits
- 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 (Nov 20, 2022 | Pratt School of Engineering)
- Tania Roy: Building High-Energy Space Electronics and Brain-Like AI Hardware (Jun 20, 2022 | Duke Engineering News)
Representative Publications
- 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 (Accepted).” Npj 2D Materials and Applications 8, no. 1 (December 1, 2024). https://doi.org/10.1038/s41699-024-00458-9.
- Roy, Tania. “A 2D route to 3D computer chips.” Nature 625, no. 7994 (January 2024): 249–50. https://doi.org/10.1038/d41586-023-03992-6.
- Krishnaprasad, A., D. Dev, M. S. Shawkat, R. Martinez-Martinez, M. M. Islam, H. S. Chung, T. S. Bae, Y. Jung, and T. Roy. “Graphene/MoS2/SiOx memristive synapses for linear weight update.” Npj 2D Materials and Applications 7, no. 1 (December 1, 2023). https://doi.org/10.1038/s41699-023-00388-y.
- Islam, Molla Manjurul, Adithi Krishnaprasad, Durjoy Dev, Ricardo Martinez-Martinez, Victor Okonkwo, Benjamin Wu, Sang Sub Han, et al. “Multiwavelength Optoelectronic Synapse with 2D Materials for Mixed-Color Pattern Recognition.” ACS Nano 16, no. 7 (July 2022): 10188–98. https://doi.org/10.1021/acsnano.2c01035.
- Yoo, C., T. J. Ko, M. G. Kaium, R. Martinez, M. M. Islam, H. Li, J. H. Kim, et al. “A minireview on 2D materials-enabled optoelectronic artificial synaptic devices.” APL Materials 10, no. 7 (July 1, 2022). https://doi.org/10.1063/5.0096053.