Scholar
Seyed Shayan Daneshvar
Google Scholar ID: NVHzLg0AAAAJ
CS Master's Graduate, University of Manitoba
Citations & Impact
Citations
23
H-index
3
i10-index
1
Publications
5
Co-authors
4
list available
Publications
Resume (English only)
Academic Achievements
- - [J1] The application of barcode readable assay and linear regression RGB analysis using a customized smartphone app in on-chip electromembrane extraction for simultaneous determination of heavy metal ions. (Microchemical Journal, Q1, IF: 5.4)
- - [J2] VulScribeR: Exploring RAG-based Vulnerability Augmentation with LLMs. (TOSEM journal, Q1, IF: 7.0)
- - [C1] A Study on Mixup-Inspired Augmentation Methods for Software Vulnerability Detection. (Accepted at EASE 2025, CORE A Conference)
- - GUI Element Detection Using SOTA YOLO Deep Learning Models. (ArXiv pre-print document)
Research Experience
- - Conducted various projects in Enterprise Web Development, Software Engineering, Machine/Deep Learning, and Computer Vision.
- - Example: Single Image Reflection Removal with MAMBA/S6 (2024, Image-based Generative Methods in Machine Learning)
- - For more details, please see LinkedIn page or CV.
Education
- - MSc in Computer Science - ML4SE, focused on Deep Learning, Computer Vision, and Data-driven Software Engineering. University of Manitoba (Jan 2023 – Apr 2025, Winnipeg, Canada)
- - Thesis: Representation-level Augmentation and RAG-enhanced Vulnerability Augmentation with LLMs for Vulnerability Detection
- - BSc in Computer Engineering, focused on Machine Learning, Computer Vision & Software Engineering. K. N. Toosi University of Technology (Sep 2018 – July 2022, Tehran, Iran)
- - Thesis: Reflection Removal of In-vehicle Images (Supervisor: Dr. Behrooz Nasihatkon)
Background
- - Software engineer and machine learning practitioner with over 6 years of experience in software engineering and 4+ years in machine and deep learning.
- - Contributed to projects including chat systems, payment and wallet management, e-commerce platforms, distributed computing, computer vision, image processing, and Android applications.
- - Passionate about Generative AI, Computer Vision, Deep Learning, AI4SE, SE4AI, and AIOps.
Miscellany
- - Primarily works with Java and Python, extensive experience with Spring Framework and PyTorch, and working knowledge of other languages and platforms.
- - Currently seeking opportunities as a software engineer (Java/Spring), machine learning engineer, or research-focused role to combine software engineering experience with cutting-edge ML expertise to build impactful, scalable solutions.
