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Dr. Aziz received the ACM SIGDA Outstanding Ph.D. Dissertation Award (2021)

[January 11, 2022] 

Dr. Aziz received the ‘ACM SIGDA Outstanding Ph.D. Dissertation Award‘ (2021). This recognition is conferred to one recipient per year, chosen through a worldwide competition among universities. The Association for Computing Machinery (ACM) is a US-based international learned society for computing. It was founded in 1947 and is the world’s largest scientific and educational computing society. ACM’s Special Interest Group on Design Automation (SIGDA) established this annual award to encourage innovative, ground-breaking research in the area of electronic design automation. The award was presented at the Design Automation Conference (DAC) 2021, held in San Francisco, CA, USA.

Dr. Aziz’s Ph.D. Dissertation – “Device-Circuit Co-design Employing Phase Transition Materials for Low Power Electronics.


Nazmul & Dr. Aziz receive the Student/Faculty Research Award (SFRA) from the Graduate School@UT Knoxville

[November 10, 2021]

Nazmul Amin, and Dr. Aziz have jointly received the Student/Faculty Research Award (SFRA) from the Graduate School of UT Knoxville. The Student/Faculty Research Awards are used to advance the scholarship of graduate students and faculty working in partnership. This process is intended to help support student research/scholarship/creative activity, and foster the mentoring relationship between faculty and graduate students. The joint proposal submitted by Nazmul and Dr. Aziz was selected through a university-wide competition and review.



Shamiul’s paper selected as an ‘Editor’s Pick’ article in Applied Physics Letters

[August 26, 2021]

Shamiul’s recent paper on cryogenic memory array design with superconducting memristors has appeared in APL as an Editor’s Pick article. This paper develops a physics-based circuit-compatible model for superconducting memristors and uses that to perform a device-to-array co-design of a memory system that is capable of operating below 4 Kelvin temperature. This work will pave the way for scalable memory blocks for quantum computing systems, space electronics, and superconducting processors.

Link to the article: