Prof. Mehdi Anwar

Electrical and Computer Engineering

University of Connecticut, USA

Email: [email protected]

Qualifications

1988 Ph.D., Electrical & Computer Engineering, Clarkson University, USA

Publications (Selected)

1. Kausani, A. A., Ding, C., & Anwar, M. (2026). Evaluating the performance of artificial neural networks with TiO2, ZnO, and HfO2 memristors: Ideal, degraded, and refresh-enhanced states. International Journal of High Speed Electronics and Systems, 35(01), 2640004.
2. Kausani, A. A., Ding, C., & Anwar, M. (2025). Network with memristor-bridges. Nanoelectronics, Nanophotonics, And Quantum Technologies: Devices And...
3. Kausani, A. A., Ding, C., & Anwar, M. (2024). Performance improvement of degrading memristor-bridge-based multilayer neural network with refresh pulses. International Journal of High Speed Electronics and Systems, 33(02n03), 2440056.
4. Kausani, A. A., & Anwar, M. (2023). Behavioral modeling of the pinched hysteresis loop of a Pt/TiO2/Pt memristor. International Journal of High Speed Electronics and Systems, 32(02n04), 2350008.
5. Mazady, A., & Anwar, M. (2023). Memristor-based material implication logic: Prelude to in-memory computing. International Journal of High Speed Electronics and Systems, 32(02n04), 2350021.
6. Mazady, A., & Anwar, M. (2019). Switching transients in memristors. International Journal of High Speed Electronics and Systems, 28(03n04), 1940023.
7. Rivera, A., Mazady, A., Zeller, J. W., et al. (2019). Structural and optical properties of high magnesium content wurtzite-Zn1− xMgxO nanowires. Journal of Vacuum Science & Technology A, 37(2).
8. Qian, F., Gong, Y., Huang, G., et al. (2018). Exploiting memristors for compressive sampling of sensory signals. IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 26(12).
9. Adnane, L., Dirisaglik, F., Cywar, A., et al. (2017). High temperature electrical resistivity and Seebeck coefficient of Ge2Sb2Te5 thin films. Journal of Applied Physics, 122(12).
10. Ahi, K., Rivera, A., Mazadi, A., et al. (2017). Fabrication of robust nano-signatures for identification of authentic electronic components and counterfeit avoidance. International Journal of High Speed Electronics and Systems, 26(03), 1740006.
11. Ahi, K., Rivera, A., & Anwar, M. (2017). Encrypted electron beam lithography nano-signatures for authentication. International Journal of High Speed Electronics and Systems, 26(03), 1740017.
12. Rivera, A., Mazady, A., & Anwar, M. (2016). ZnO nanostructures a versatile material platform. Wide Bandgap Power Devices and Applications, 9957, 16–16.
13. Ahi, K., & Anwar, M. (2016). A survey on GaN-based devices for terahertz photonics. Wide Bandgap Power Devices and Applications, 9957, 24–36.
14. Qian, F., Gong, Y., Huang, G., et al. (2016). A memristor-based compressive sensing architecture. 2016 IEEE/ACM International Symposium on Nanoscale Architectures (NANOARCH).
15. Ahi, K., & Anwar, M. (2016). Modeling of terahertz images based on x-ray images: A novel approach for verification of terahertz images and identification of objects with fine details beyond terahertz. Terahertz Physics, Devices, and Systems X: Advanced Applications in Industry...
16. Ahi, K., & Anwar, M. (2016). Developing terahertz imaging equation and enhancement of the resolution of terahertz images using deconvolution. Terahertz Physics, Devices, and Systems X: Advanced Applications in Industry...
17. Ahi, K., & Anwar, M. (2016). Advanced terahertz techniques for quality control and counterfeit detection. Terahertz Physics, Devices, and Systems X: Advanced Applications in Industry...
18. Ahi, K., & Anwar, M. (2016). Terahertz techniques: Novel non-destructive tests for detection of counterfeit electronic components. Connect. Symp. Microelectron. Optoelectron.