Danial Saber

Danial Saber

Graduade Research/Teaching Assistant

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About Me

Hello! I’m Danial Saber. I am passionate about researching on Deep Learning with a particular focus on Graph Neural Networks. My main programming language is Python and I am proficient in popular frameworks such as Pytorch and Pytorch Geometric. I am also interested in applied machine learning, natural language processing, and AI in healthcare. I am a quick learner and a team worker that gets the job done.

Currently, I am a graduate research/teaching assistant at the SAIN Lab under the supervision of Dr. Amirali Abari at Ontario Tech University.

Bio

Age
23
Email
danial.saber@ontariotechu.net
Skype
Danial.saber

Professional Skills

Python3
Master
PyTorch & PyTorch Geometric
Master
Numpy, Pandas, Matplotlib
Master
Tensorflow, Keras
Advance
MySQL, SQL Server
Master
Power BI
Master
Java, C++
Advance
Git, Linux
Master

Work Experience

Teaching Assistant at Ontario Tech University
September 2023 - Present
Data Structures: Led programming labs (Java), and graded assignments. Instructor: Dr. Razi Iqbal
Big Data Analytics: Conducted tutorials, led programming labs (Python), and graded assignments. Instructor: Dr. En-Shiun Annie Lee.
Data Analyst at Koosha Tejarat Nopadid
April 2022 - August 2022
Developed an interactive performance dashboard for Kharazmi University using Python, MySQL, and Power BI, providing visual representations of teaching, conferences, publications, books, and patents at the professor, department, and faculty levels.
Administrative Member of Scientific Association of Computer Engineering at Kharazmi University
July 2021 - August 2022
Organized useful events for Computer Engineering students, and mentored first-year students regarding their future plans.

Education

Master of Science in Computer Science at Ontario Tech University
2023 - Present
Supervisor: Dr. Amirali Salehi-Abari
Selected Courses: Survey in Computer Science Research Topics & Methods, Machine Learning, Affective Data Science, Collaborative Design and Research, IT Security
GPA: 4.18 / 4.30
Bachelor of Computer Engineering - Software at Kharazmi University
2019 - 2023
GPA: 3.72 / 4.00

Projects

Python / Pytorch / PyG

SE2P: Scalable Expressiveness through Preprocessed Graph Perturbations

Proposed SE2P, a model combining flexibility, scalability, and expressiveness. The approach offers four configuration classes, each offering a unique balance between scalability and generalizability. Extensive experiments were done for graph classification tasks using PyTorch and PyTorch Geometric. Accepted in CIKM 2024.

Python / Pytorch / PyG

Fake News Detection on Twitter

Implemented various Graph Neural Network models, including Graph Convolutional Network (GCN), Graph Attention Network (GAT), Graph Isomorphism Network (GIN), and GraphSAGE, to evaluate and compare their performance against Multi-Layer Perceptron models in a graph classification task, where Twitter news and corresponding retweets are represented as graphs.

Python / Sklearn / Matlab

Developing a global approach for determining the molar heat capacity of deep eutectic solvents

Proposed a universal model based on least-squares support vector regression with the Gaussian kernel function (LSSVR-G) to estimate the molar heat capacity of deep eutectic solvents. This LSSVR-G has been chosen among fourteen intelligent and two regression-based methodologies.

Contact

danial.saber@ontariotechu.net