As an introverted individual, I have a profound passion for Mathematics, technology, and learning new things.
Currently, I am working as a Software Engineer at Huawei Canada R&D. In this role, my responsibilities encompass the implementation, testing, and integration of new features to elevate the performance of the OSPF routing protocol for Optical Networks. Prior to this position, I gained valuable experience as a Network Software Engineer Intern at Huawei, as well as during my internships at Tellext and SenseNet.
In 2020, I successfully completed my Master's degree at the University of British Columbia's Department of Electrical and Computer Engineering, under the supervision of Prof. Vincent Wong. My research focus centered on performance optimization within wireless-powered backscatter communication networks and machine learning area. I also hold a B.Sc. degree in Electrical Engineering from the University of Tehran, Iran, where my undergraduate research involved deep learning for Sound Event Detection in audio files. You can access my resume here.
Beyond my technical pursuits, I have a deep-seated passion for Persian calligraphy and the enjoyment of reading poetry. These interests provide me with solace and excitement during my leisure hours.
AWS Cloud Engineer Intern
Tellext Inc.
Feb 2021 - Mar 2021
Worked on enhancement of Security Robot capabilities using Amazon Web Services (e.g., IoT Greengrass, AWS Kinesis)
S E N S E N E T
Engineer Intern
SenseNet Inc.
Oct 2020 - Nov 2020
IoT and ML for early wildfire detection: anomaly detection on the environmental data captured by IoT sensors in the forest and sent to the gateway server using long-range (LoRa) communication
M. A. Sc. in Electrical and Computer Engineering
Thesis: Energy Efficiency Maximization for NOMA Backscatter Systems
Courses: Machine Learning and Data Mining, Convex Optimization for Communication
Networks, Optimization in Graphs and Networks, and Information Theory
B. Sc. in Electrical Engineering | GPA: 18.58/20 (3.94/4)
B.Sc. Project: Sound Event Detection in Audio Files by Deep Learning
Internship Project: Design and Implementation of a GPS Tracker with Raspberry Pi
Farhad Dashti Ardakani, Rui Huang, and Vincent W.S. Wong, "Joint Device Pairing, Reflection Coefficients, and Power Control for NOMA Backscatter Systems," IEEE Transactions on Vehicular Technology (TVT), vol. 71, no. 4, pp. 4396–4411, Feb. 2022. [PDF] from ieee.org
Farhad Dashti Ardakani, "Energy Efficiency Maximization for NOMA Backscatter Systems", the University of British Columbia, Oct. 2020. [PDF] from open.library.ubc.ca
Farhad Dashti Ardakani and Vincent W.S. Wong, "Joint Reflection Coefficient Selection and Subcarrier Allocation for Backscatter Systems with NOMA," in Proc. of IEEE Wireless Communications and Networking Conference (WCNC), May 2020. [PDF] from ieee.org
Shahriar Shayesteh, Farhad Dashti Ardakani, "An Ensemble Model for Sentiment Analysis of Movie Reviews," Apr. 2020. [PDF] [Code]