Syem Aziz

Professional Summary

Syem Aziz is a Lecturer in the Department of Computer Science and Engineering at the Bangladesh University of Business and Technology (BUBT). Alongside his teaching role, he is actively involved in curriculum enrichment and student mentorship, focusing on helping learners build a strong foundation in computing and research. He has completed his undergraduate studies in Computer Science and Engineering at the Islamic University of Technology (IUT), where he has developed a strong academic background in machine learning, natural language processing, and computer vision. His thesis centers on medical image classification using Vision Transformers (ViT) and adaptive subspace techniques, with a broader research interest in Visual Question Answering (VQA). Syem has industry experience as a Machine Learning Engineer at Grameen Communications, where he developed a chatbot and a credit score prediction model to support financial decision-making. During his internship at ShopUp’s BRIDDHI Operations Department, he automated financial processes, optimized decision workflows, and contributed to operational data analysis. His published research on Bangla Speech Emotion Recognition demonstrates his commitment to developing inclusive and impactful AI for underrepresented languages and communities. His academic interests include artificial intelligence, deep learning, computer vision, and NLP. Beyond academia, Syem enjoys photography, 3D art in Blender, and exploring creative intersections between technology and design. Driven by curiosity and purpose, he is passionate about contributing to the scientific community through research, innovation, and knowledge-sharing, with a vision to develop AI solutions that create meaningful real-world impact.