Jump to navigation

The University of Arizona Wordmark Line Logo White
UA Profiles | Home
  • Phonebook
  • Edit My Profile
  • Feedback

Profiles search form

Soheil Salehi

  • Assistant Professor, Electrical and Computer Engineering
  • Member of the Graduate Faculty
Contact
  • (520) 621-2434
  • Electrical & Computer Engr, Rm. 230
  • Tucson, AZ 85721
  • ssalehi@arizona.edu
  • Bio
  • Interests
  • Courses
  • Scholarly Contributions

Biography

Dr. Soheil Salehi is a Tenure-Track Assistant Professor in the Electrical and Computer Engineering (ECE) Department at the University of Arizona. Before joining the University of Arizona, he was an NSF-Sponsored Computing Innovation Fellow (CIFellow) and Postdoctoral Research Fellow in the Accelerated, Secure, and Energy-Efficient Computing (ASEEC) Laboratory and the Center for Hardware and Embedded Systems Security and Trust (CHEST) at the University of California, Davis (UCD) from 2020 until 2022. Dr. Salehi's postdoctoral fellowship was supported by the Computing Research Association (CRA) and the Computing Community Consortium (CCC) under the NSF-Sponsored CIFellows Program. Dr. Salehi received his Ph.D. and M.S. degrees in ECE from the University of Central Florida (UCF) in 2016 and 2020, respectively. He also received a B.S. degree from the Isfahan University of Technology (IUT), Isfahan, Iran, in 2014. Dr. Salehi was the sole recipient of the UCF Excellence by a Graduate Teaching Assistant at the university-level in 2016. He was nominated for the 30-under-30 Award at UCF in 2020 and the Postdoctoral Research Excellence Award at UCD in 2022. Dr. Salehi's technical research interests are Hardware and AI-enabled Security in IoT, Energy-Efficient and Intelligent Signal Conversion and Processing in IoT, Neuromorphic and Biologically-inspired AI Hardware, Emerging Spin-Based Devices, Reconfigurable and Adaptive Computer Architectures, and Low-Power and Reliability-Aware VLSI circuits.

Degrees

  • Ph.D. Electrical and Computer Engineering
    • University of Central Florida, Orlando, Florida, United States
    • Energy-Efficient Signal Conversion and In-Memory Computing using Emerging Spin-based Devices
  • M.S. Electrical and Computer Engineering
    • University of Central Florida, Orlando, Florida, United States
    • Towards Energy-Efficient and Reliable Computing: From Highly-Scaled CMOS Devices to Resistive Memories
  • B.S. Electrical and Computer Engineering
    • University of Central Florida, Orlando, Florida, United States
    • Design and implementation of Embedded Systems for Autonomous Vehicles using Wireless Sensor Networks

Work Experience

  • University of California, Davis, Davis, California (2020 - 2022)

Related Links

Share Profile

Interests

Research

Hardware and AI-enabled Security in IoT, Generative AI for Hardware Design and Security, Energy-Efficient and Intelligent Signal Conversion and Processing in IoT, Neuromorphic and Biologically-inspired AI Hardware, Emerging Spin-Based Devices, Reconfigurable and Adaptive Computer Architectures, Low-Power and Reliability-Aware VLSI circuits, Digital Twins and Mixed Reality for Workforce Training and Development, and Generative AI for Personalized Education.

Teaching

Hardware Security, Digital VLSI Design, Applications of AI in Hardware Design and Security, IoT and Embedded System Design, Computer Organization and Architecture.

Courses

2025-26 Courses

  • Research
    SFWE 900 (Fall 2025)
  • Web Dev Internet of Things
    ECE 413 (Fall 2025)
  • Web Dev Internet of Things
    ECE 513 (Fall 2025)

2024-25 Courses

  • Digital Vlsi Sys Design
    ECE 407 (Spring 2025)
  • Digital Vlsi Sys Design
    ECE 507 (Spring 2025)
  • Dissertation
    ECE 920 (Spring 2025)
  • Thesis
    ECE 910 (Spring 2025)
  • Colloquium
    ECE 695 (Fall 2024)
  • Independent Study
    ECE 599 (Fall 2024)
  • Research
    SFWE 900 (Fall 2024)
  • Thesis
    ECE 910 (Fall 2024)
  • Web Dev Internet of Things
    ECE 413 (Fall 2024)
  • Web Dev Internet of Things
    ECE 513 (Fall 2024)

2023-24 Courses

  • Digital Vlsi Sys Design
    ECE 407 (Spring 2024)
  • Digital Vlsi Sys Design
    ECE 507 (Spring 2024)
  • Dissertation
    ECE 920 (Spring 2024)
  • Research
    ECE 900 (Spring 2024)
  • Research
    ECE 900 (Fall 2023)
  • Web Dev Internet of Things
    ECE 413 (Fall 2023)
  • Web Dev Internet of Things
    ECE 513 (Fall 2023)

2022-23 Courses

  • Directed Research
    ECE 492 (Spring 2023)
  • Web Dev Internet of Things
    ECE 413 (Fall 2022)
  • Web Dev Internet of Things
    ECE 513 (Fall 2022)

Related Links

UA Course Catalog

Scholarly Contributions

Journals/Publications

  • Gubbi, K. I., Saber Latibari, B., Chowdhury, M. A., Jalilzadeh, A., Yazdandoost Hamedani, E., Sasan, A., Rafatirad, S., Homayoun, H., & Salehi Mobarakeh, S. (2024).

    Optimized and Automated Secure IC Design Flow: A Defense-in-Depth Approach

    . IEEE Transactions on Circuits and Systems.

Profiles With Related Publications

  • Afrooz Jalilzadeh
  • Erfan Yazdandoost Hamedani

 Edit my profile

UA Profiles | Home

University Information Security and Privacy

© 2025 The Arizona Board of Regents on behalf of The University of Arizona.