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<h2><p>This page is no longer updated. Please visit <a href="https://saeedshakuri.github.io/", style="color: red;"> HomePage </a></p></h2>
<p>
I am a master's student in Data Science at the University of Science and Culture, Tehran, Iran, under the supervision of <a href="https://scholar.google.com/citations?hl=en&user=1Sln9i0AAAAJ&view_op=list_works&sortby=pubdate">Dr. Alireza Rezvanian</a>. I'm currently in my final master's semester, and my research interests broadly lie in Deep Learning methods within real-world applications and challenges. My current research focuses on Computer Vision methods in detecting lung nodules associated with lung cancer. Additionally, I would like to conduct high-quality research, resulting in publications in top-tier venues. <strong>I'm actively looking for a Ph.D. position in the field of Deep Learning for fall 2025.</strong>
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<p style="margin-bottom: 0;">
<strong>Highlight of my research experience:</strong>
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<li>I have authored a paper titled <strong>’An Efficient Approach in Detecting Lung Nodules Using Swin Transformer’</strong> which has
been submitted to the 19th ICIS (IEEE), and the conference takes place on Oct. 23 and 24, 2024.
<li style="padding-top: 15px;">I also have worked on employing Few-shot Learning methods in object detection for detecting lung nodules from CT scan images, and it's in the final phase and is going to be submitted to Computerized Medical Imaging and Graphics.</li>
<li style="padding-top: 15px;"> have also collaborated on two papers focused on the Image Classification domain within real-time emotion recognition
(More info in the Publications section).
Deep Learning, Computer Vision, Medical Image Analysis
<h2 style="padding-top: 15px;">Education</h2>
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<strong>University of Science and Culture, Tehran, Iran</strong>
<br>M.Sc., Data Science (GPA 4/4 or 19.05/20)
<br><strong><u>Thesis:</u></strong> Few-shot lung nodule detection.
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<strong>Oct. 2021 - Expected Feb. 2025</strong>
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<strong>Technical and Vocational University, Tehran, Iran</strong>
<br>B.E., Electronics Engineering (Shamsipour College)
<br><strong><u>Project:</u></strong> A smart house project with an electronic device and a mobile application for monitoring and controlling household environmental conditions and switches via WiFi and a mobile application.
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<strong>2018 - 2021</strong>
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<strong>Technical and Vocational University, Karaj, Iran</strong>
<br>A.S., Electronics Engineering (Beheshti College)
<!-- <br><strong><u>Project:</u></strong> A smart house project with a digital lock and automatic household light switch. -->
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<strong>2016 - 2018</strong>
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<h2 style="padding-top: 15px;">Publications</h2>
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<li style="margin-bottom: 10px;">
<strong>(Submitted)</strong> <strong>Saeed Shakuri</strong> and Alireza Rezvanian. ”An Efficient Approach in Detecting Lung Nodules Using Swin Transformer” 19th Iranian Conference on Intelligent Systems (ICIS), IEEE, 2024.
</li>
<li style="margin-bottom: 10px;">
<strong>(<a href="https://scholar.google.com/citations?user=fuJHdW0AAAAJ&hl=en">Published</a>)</strong> Ghadami, Omid, Alireza Rezvanian, and <strong>Saeed Shakuri</strong>. ”Scalable Real-time Emotion Recognition using EfficientNetV2 and Resolution Scaling.” 2024 10th International Conference on Web Research (ICWR), IEEE, 2024.
</li>
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<strong>(Under Review)</strong> Omid Ghadami, Alireza Rezvanian, <strong>Saeed Shakuri</strong>, and Mohammad Shamami. ”Real-time facial emotion recognition in smartphones using EfficientNetV2 and quantization-aware training.” Multimedia Tools and Application, Springer.
</li>
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<strong>(In preparation)</strong> <strong>Saeed Shakuri</strong>, Alireza Rezvanian, ”Lung Nodule Detection Using Few-shot Learning and Swin Transformer” to be submitted to Computerized Medical Imaging and Graphics.
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<h2 style="padding-top: 15px;">Teaching Experience</h2>
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<strong>Teaching Assistant, Undergraduate Artificial Intelligence class</strong>
<br>University of Science and Culture
<br>Dr. Azadeh Tabatabei
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<strong>Fall 2023</strong>
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<strong>Teaching Assistant, Graduate Machine Learning class</strong>
<br>University of Science and Culture
<br>Dr. Alireza Rezvanian
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<strong>Fall 2022</strong>
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<h2 style="padding-top: 15px;">Notable Academic Projects</h2>
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Object detection with Detectron2
<a href="https://github.com/SaeedShakuri/Detectron2">GitHub</a>
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Measuring sentence similarity with a TF-IDF approach
<a href="https://github.com/SaeedShakuri/ML-DL-Projects/tree/main/NLP">GitHub</a>
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Computer Vision projects using PyTorch
<a href="https://github.com/SaeedShakuri/Computer-Vision">GitHub</a>
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A classification project using Ensemble Learning with the Abalone dataset
<a href="https://github.com/SaeedShakuri/ML-DL-Projects/tree/main/Ensemble%20Learning">GitHub</a>
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An Image classification project using Transfer Learning with ResNet50
<a href="https://github.com/SaeedShakuri/ML-DL-Projects/tree/main/Convolutional-Neural-Network/Transfer%20Learning">GitHub</a>
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<h2 style="padding-top: 15px;">Professional Services</h2>
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<strong><div>Reviewer</div></strong>
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<div>Wiley - The Journal of Engineering</div>
<strong><div>Aug. 2023</div></strong>
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<div>Elsevier - Data in Brief Journal</div>
<strong><div>Mar. 2023 - Apr. 2023</div></strong>
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<strong>Judge</strong>
<br>University of Science and Culture
<br>Conducting assessments of computer science bachelor students’ final projects, followed by assigning grades.
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<strong>Jul. 2023 & Jan. 2024</strong>
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<strong>Invited Presenter</strong>
<br>University of Science and Culture
<br>Presentation title: ”<a href="https://www.researchgate.net/publication/372553317_An_Introduction_to_Few-Shot_Learning_-_Saeed_Shakuri">An Introduction to Few-Shot Learning</a>”
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<strong>Dec. 2022</strong>
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<h2 style="padding-top: 15px;">Work Experience</h2>
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<strong>BlazingFallApps, remotely</strong>
<br>Software Developer
<br>Developing the following mobile applications with the Flutter framework: A digital board game, a warehouse handling application for shopping stores, and a real estate application
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<strong>Mar. 2020 - Nov. 2021</strong>
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<strong>PergasTeb, remotely</strong>
<br>Software Developer
<br>Developing a medical android application with the Flutter framework for better interaction between doctors and their patients.
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<strong>May 2020 - Oct 2020</strong>
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