Sitemap
A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Posts
Future Blog Post
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Blog Post number 4
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
publications
DeepFaceAR: Deep Face Recognition and Displaying Personal Information via Augmented Reality
Published in International Conference on Machine Vision and Image Processing (MVIP), 2020
In this research, we propose a system that combines Deep Neural Networks and Augmented Reality to recognize faces and display information about individuals. Download Manuscript
Probabilistic Deep Learning and Transfer Learning for Robust Cryptocurrency Price Prediction
Published in Expert Systems with Applications, 2024
In this research, we propose a probabilistic gated recurrent unit (P-GRU) model for accurate Bitcoin price prediction, outperforming traditional deep learning models in capturing market volatility and uncertainty
Efficient Multi-Scale Brain Tumor Segmentation: Integrating Adaptive Distributed Attention and Weighted Inception Module
Published in Under Preparation, 2024
In this research, we propose a novel approach to enhancing the U-Net architecture for brain tumor segmentation using BRATS dataset. By integrating Weighted Inception Module and Adaptive Distributed Attention Mechanism, our proposed Dynamic U-Net achieves superior segmentation accuracy and computational efficiency compared to traditional U-Net variants.
Adaptive Real-Time Multi-Loss Function Optimization Using Dynamic Memory Fusion Framework: A Case Study on Breast Cancer Segmentation
Published in arXiv preprint arXiv:2410.19745, 2024
In this research, we propose a dynamic memory fusion framework for adaptive multi-loss function penalizing in real-time, which dynamically adjusts the weighting of loss functions based on historical loss values and incorporates an auxiliary loss function and class-balanced dice loss to improve segmentation performance. Download Manuscript
talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Engineering Tutor
Undergraduate course, The Student's Home, 2013
As a private tutor from November 2013 to December 2016, I provided personalized guidance to students in core engineering subjects, including engineering mathematics, linear control systems, and signals & systems analysis.
TA in Engineering Mathematics
Undergraduate course, Darolfonoon Institute of Higher Education, 2014
As a TA in Engineering Mathematics, I effectively led recitation sessions, provided individual guidance, graded assignments, and developed innovative teaching methods to support student success and achieve positive feedback from both students and professors.
TA in Linear Control Systems
Undergraduate course, Darolfonoon Institute of Higher Education, 2015
As a TA in Linear Control Systems, I effectively led recitation sessions, provided individual guidance, graded assignments, and developed innovative teaching methods to support student success and achieve positive feedback from both students and professors.
TA in Analysis and Synthesis of Signals and Systems
Undergraduate course, Darolfonoon Institute of Higher Education, 2015
As a TA in Analysis and Synthesis of Signals and Systems, I effectively led recitation sessions, provided individual guidance, graded assignments, and developed innovative teaching methods to support student success and achieve positive feedback from both students and professors.
TA in Neural Networks
Graduate course, Shahrood University of Technology, 2017
Serving as a TA for Ph.D. and Master’s students was definitely demanding. These students are already skilled researchers and critical thinkers, which can make teaching them both rewarding and challenging. One of the most interesting parts of the job was helping them develop activities and strategies that fit their individual learning goals.
MATLAB Programming for Engineering Students
Graduate and undergraduate course, Students Scientific Association of Shahrood University of Technology, 2017
As a teacher in the Students Scientific Association of Shahrood University of Technology, I led two separate computer programming courses focused on MATLAB over two semesters. I emphasized practical applications, guiding students in implementing algorithms for signal processing and artificial neural networks.
Deep Learning Using TensorFlow and Keras
Graduate course, Shahrood University of Technology, 2018
In 2018, I organized and led a Deep Learning course for graduate students, covering fundamental concepts like linear and non-linear regression, and advanced techniques like convolutional neural networks. The course materials, developed using TensorFlow and Keras, are available on GitHub for wider accessibility.