Dr. Muhammad Yasir Siddiqui | Deep Learning | Best Researcher Award

Dr. Muhammad Yasir Siddiqui, Seoul National University of Science and Technology, South Korea

Dr. Muhammad Yasir Siddiqui is a seasoned researcher and academician with extensive experience in Artificial Intelligence and Deep Learning. Currently serving as a Research Professor at SeoulTech in South Korea, he has contributed to renowned research projects across Pakistan, Denmark, and South Korea. With over nine publications in peer-reviewed journals and conferences, his work focuses on cutting-edge technologies such as 3D applications and autonomous vehicles.

Professional Profile:

Google Scholar

Suitability for Best Researcher Award

Dr. Muhammad Yasir Siddiqui is a highly qualified candidate for the Best Researcher Award due to his extensive contributions to Artificial Intelligence (AI), Deep Learning, and Computer Vision. His research has led to significant advancements in 3D applications, autonomous vehicles, and AI-driven perception systems, making him a strong contender for this recognition.

Education and Experience

🎓 PhD in Engineering (Computer Vision, AI)
Mar. 2019 – Feb. 2023
Mechanical System Engineering, Tongmyong University, South Korea
🎓 Master of Science in Computer Science
Sep. 2008 – Mar. 2011
Blekinge Institute of Technology, Karlskrona, Sweden
🎓 Master in Information Technology
Sep. 2005 – Mar. 2007
Quaid-i-Azam University, Islamabad, Pakistan
🎓 Bachelor of Science in Computer Science
Sep. 2000 – Mar. 2004
Allama Iqbal Open University, Islamabad, Pakistan
👨‍🏫 Research Professor
Mar. 2023 – Jun. 2025
Dept. of Electrical and Information System, SeoulTech, South Korea
👨‍🏫 Senior Lecturer
Jun. 2016 – Feb. 2019
School of Computing and Engineering, Lahore Leads University, Pakistan
💻 Software Engineer
Mar. 2011 – Apr. 2015
Edixen Solutions, Copenhagen, Denmark

Professional Development

Throughout his career, Dr. Siddiqui has demonstrated a commitment to advancing technology and education. As a Research Professor at SeoulTech, he leads programming lectures and spearheads machine learning and deep learning projects, focusing on computer vision and big data. His tenure as a Senior Lecturer at Lahore Leads University involved teaching programming languages, guiding research initiatives, and supervising undergraduate projects. At Edixen Solutions in Denmark, he led a team of over 20 professionals, driving multi-phased research initiatives that directly impacted product development across web, API, and mobile platforms.

Research Focus

Dr. Siddiqui’s research interests lie at the intersection of Deep Learning and Computer Vision. He specializes in developing algorithms for classification, detection, and segmentation tasks, with a particular emphasis on depth estimation and 3D instance segmentation. His work extends to augmented and virtual reality (AR/VR) applications, where he explores immersive technologies that enhance user experiences. Additionally, he contributes to advancements in autonomous vehicles, focusing on the integration of AI-driven perception systems to improve safety and efficiency.

Awards and Honors

🥉 3rd Position
Busan Datathon Competition
Korea Intelligence Information Society, Digital Ministry by Busan Techno Park
🎓 Fully Funded Professor’s Fellowship
Co-funded by the BK21 for PhD studies
🎓 Fully Funded Scholarship
Ministry of Education, Sweden for Master’s studies
🎓 Fully Funded Scholarship
Software Technology Park, Islamabad, Pakistan for Master’s studies
🎓 Partially Funded Scholarship
University Scholarship for Bachelor’s studies

Publication Top Notes:

📄 A comparative analysis of machine learning approaches for plant disease identification – 31 citations, 2017

📝 Recognition of Pashto handwritten characters based on deep learning – 28 citations, 2020

⚙️ Faster metallic surface defect detection using deep learning with channel shuffling – 12 citations, 2024

🔍 Modeling & Evaluating The Performance Of Convolutional Neural Networks For Classifying Steel Surface Defects – 8 citations, 2024

📚 Deep learning-based 3D instance and semantic segmentation: A review – 8 citations, 2024

Dr. Sabrina Clusiau , Dragonfly, Comet Inc , Canada

Sabrina Clusiau is a Ph.D. candidate in Materials Engineering at McGill University, where she has been pursuing her research since 2021. She holds a Bachelor’s degree in Biomedical Engineering from École Polytechnique de Montréal (2019) and a Bachelor of Science in Anatomy and Cell Biology from McGill University (2015). With a professional background as a Software Developer at Object Research Systems in Montreal, Sabrina has been instrumental in designing and implementing code and user interfaces, particularly for the Dragonfly software. Her research, focused on optimizing Scanning Electron Microscopy (SEM) parameters using AI, has been published in prestigious journals. Sabrina has been recognized for her academic excellence with multiple awards, including the Graduate Excellence Fellowship and the McGill Engineering Doctorate Award

Suitability for Best Researcher Award: Sabrina Clusiau

Sabrina Clusiau is a strong candidate for the Best Researcher Award due to her impactful research in materials engineering, particularly in integrating AI with SEM technology .Sabrina Clusiau is a promising researcher in the field of materials engineering with a strong focus on integrating artificial intelligence (AI) into microscopy and image analysis. Her innovative work on optimizing Scanning Electron Microscopy (SEM) parameters and developing automated workflows highlights her contribution to advancing materials science through technology. Her research not only pushes the boundaries of traditional microscopy but also improves the efficiency and accuracy of image processing techniques.

🎓Education:

Sabrina Clusiau earned her Ph.D. in Materials Engineering from McGill University, where she has been conducting research since 2021. She holds a Bachelor’s degree in Biomedical Engineering from École Polytechnique de Montréal, obtained in 2019, and a Bachelor of Science in Anatomy and Cell Biology from McGill University, awarded in 2015.

🏢Professional Experience:

Sabrina Clusiau has been working as a Software Developer at Object Research Systems in Montreal since 2019. In this role, she is responsible for designing, implementing, maintaining, and documenting code and user interfaces, with a focus on developing workflows in Dragonfly software to enhance user experience and address clients’ specific image processing needs. Prior to this, she served as a Continuous Improvement Intern at Pfizer in Montreal in 2018, where she created an electronic chart for operators using VBA in Excel, implemented it on a pilot line, and analyzed service contracts for expirations and renewals.

🏆Awards:

Sabrina Clusiau has received several prestigious awards in recognition of her academic achievements. She was honored with the Graduate Excellence Fellowship in both 2021 and 2023. In 2022, she was awarded the M&M Poster Award for her outstanding presentation, and in 2021, she also received the McGill Engineering Doctorate Award (MEDA) for her exceptional work in Materials Engineering.