About Me

Hi there! This is Maryam Hashemi's personal page.

I'm a researcher based in Sydney where I work on computer science challenges. More specifically, I develop algorithms based on AI, ML, etc, to solve real-world problems.

The best way to reach me is through my email which you can find on the left side at the bottom of the page.

Computer Skills

Python

90%

C++

65%

HTML

65%

MATLAB

60%

Android

60%

LaTeX

100%

OpenCV

100%

Keras

80%

Scikit-Learn

90%

Tenserflow

80%

Windows

80%

Linux

40%

Python

90%

C++

65%

HTML

65%

Android

60%

LaTeX

100%

OpenCV

100%

Keras

80%

Scikit-Learn

90%

Tenserflow

80%

Windows

80%

Linux

40%

Publications

1- Driver Safety Development: Real-Time Driver Drowsiness Detection System Based on Convolutional Neural Network. Maryam Hashemi, Alireza Mirrashid and Aliasghar Beheshti Shirazi, SN Computer Science Journal, Springer, 2020.

Paper

2- Towards Safer Roads: A Deep Learning-Based Multimodal Fatigue Monitoring System. Maryam Hashemi, Bahar Farahani and Farshad Firouzi, International Conference on Omni-layer Intelligent Systems (COINS), IEEE, 2020.

Paper

My presentation

3- Detection and identification of defects in 3D-printed dielectric structures via thermographic inspection and deep neural networks. Barbara Szymanik, Grzegorz Psuj, Maryam Hashemi, and Przemyslaw Lopato, Materials Journal, MDPI, 2021.

Paper

4- Delve into Multiple Sclerosis (MS) Lesion Exploration: A Modified Attention U-Net for MS Lesion Segmentation in Brain MRI. Maryam Hashemi, Mahsa Akhbari, and Christian Jutten, Computers in Biology and Medicine Journal, Pergamon, 2022.

Paper

5- Who wants what and how: a Mapping Function for Explainable Artificial Intelligence. Maryam Hashemi, 2023.

Paper

Education

• University of Isfahan

• Bachelor of science in Electrical Engineering, (2013-2017)

• Isfahan- Iran

• Iran University of Science and Technology (IUST)

• Master of science in Information Technology, (2017-2020)

• Tehran, Iran

• West Pomeranian University of Technology (ZUT)

• Researcher at West Pomeranian University of Technology, (2019-2020)

• Szczecin, Poland

• Iran University of Science and Technology (IUST)

• Master of science in Information Technology, (2017-2020)

• Tehran, Iran

⏺ Thesis: Deep learning based Driver Distraction and Drowsiness Detection

⏺ Description: Analysis of driver's face to find risky situations (e.g., sleeping) through designing deep neural networks for real time tasks

⏺ Supervisor: Dr. Aliasghar Beheshti Shirazi

⏺ Focus: Artificial Intelligence, Computer vision, Machine learning, Human and Machine Interaction, Python

• University of Isfahan

• Bachelor of science in Electrical Engineering, (2013-2017)

• Isfahan- Iran

⏺ Thesis: Designing an Android application to have a Intelligent Greenhouse

⏺ Description: Control of vital conditions of plants by Internet Of Thing with an Android application

⏺ Focus: Android, Internet Of Thing, Arduino

• West Pomeranian University of Technology (ZUT)

• Researcher at West Pomeranian University of Technology, (2019-2020)

• Szczecin, Poland

⏺ Title of Project: Deep Learning-Based Defect analysis in 3D Composite by thermal imaging

⏺ Description: Detection and identification of defects in 3D printed dielectric structure using thermographic inspection and deep neural networks

⏺ Supervisor: Dr. Grzegorz Psuj, Dr. Barbara Szymanik, Dr. Przemyslaw Lopato

⏺ Focus: Deep learning, Image Processing, Thermal Images, Signal processing, Python, Matlab

Languages

⏺ Persian: Native language

⏺ English: Fluent

• TOEFL: 103 (Reading: 30, Listening: 28, Speaking: 22, Writing: 23)

• GRE: 319 (Quantitative Reasoning: 167, Verbal Reasoning: 152, Writing: 3.5)

• IAESTE English Certificate

⏺ French: Basic (A1 Level)

⏺ Arabic: Basic

CV

To see my CV in more detail, click here.

However, for an up-to-date one, please send me an email.

News

Check my latest poster in explainable participatory budgeting.

Click here