Dr Maryam Hemmati

Doctor of Philosophy (Electrical and Electronic Engineering)

Biography

Qualifications

BSc. (Electrical and Electronic Engineering), Sharif University of Technology, Tehran, Iran

MSc. (Electrical and Electronic Engineering), KNT University of Technology, Tehran, Iran

PhD (Electrical and Electronic Engineering), University of Auckland, Auckland, New Zealand

 

 

Research | Current

  • Hardware accelerators for real-time embedded systems
  • Dynamically reconfigurable architectures

Teaching | Current

  • COMPSYS 305 - Digital Systems Design 1
  • COMPSYS 304 - Computer Architecture 1
  • COMPSCI 313 - Computer Organisation

Distinctions/Honours

Faculty of Engineering Students’ Choice Top Teacher Award 2020 (one of 15 Top Teachers)

Selected publications and creative works (Research Outputs)

As of 29 October 2020 there will be no automatic updating of 'selected publications and creative works' from Research Outputs. Please continue to keep your Research Outputs profile up to date.
  • Hemmati, M. (2019). Adaptive Embedded Systems for Autonomous Vehicles The University of Auckland. ResearchSpace@Auckland.
    URL: http://hdl.handle.net/2292/49284
  • Hemmati, M., Biglari-Abhari, M., & Niar, S. (2019). Adaptive Vehicle Detection for Real-time Autonomous Driving System. Paper presented at 22nd Design, Automation and Test in Europe Conference and Exhibition (DATE), Florence, ITALY. 25 March - 29 March 2019. 2019 DESIGN, AUTOMATION & TEST IN EUROPE CONFERENCE & EXHIBITION (DATE). (pp. 6).
    Other University of Auckland co-authors: Morteza Biglari-Abhari
  • Hemmati, M., Biglari-Abhari, M., Niar, S., & Berber, S. (2017). Real‐time multi‐scale pedestrian detection for Driver Assistance Systems. Proceedings of the 54th Annual Design Automation Conference 2017 New York, USA: Association for Computing Machinery. 10.1145/3061639.3062308
    URL: http://hdl.handle.net/2292/35710
    Other University of Auckland co-authors: Morteza Biglari-Abhari, Stevan Berber
  • Hemmati, M., Biglari-Abhari, M., Berber, S., & Niar, S. (2014). HOG feature extractor hardware accelerator for real-time pedestrian detection. 2014 17th Euromicro Conference on Digital System Design (DSD), 543-550. Verona, Italy: IEEE. 10.1109/DSD.2014.60
    Other University of Auckland co-authors: Morteza Biglari-Abhari, Stevan Berber

Identifiers

Contact details

Primary office location

ENGINEERING BLOCK 5 - Bldg 405
Level 6, Room 655
5 GRAFTON RD
AUCKLAND CENTRAL
AUCKLAND 1010
New Zealand

Web links