Mr. Wakar Yunus

Assistant Professor

Mr. Wakar Yunus is an academician and researcher in Computer Science and Engineering with expertise in Generative Artificial Intelligence (Generative AI), Deep Learning, Natural Language Processing (NLP), Large Language Models (LLMs), Computer Vision, and Explainable AI. He is currently serving as an Assistant Professor at Dayananda Sagar University, Bengaluru, where he is actively involved in teaching, research, student mentoring, and academic activities for undergraduate and postgraduate programs.

He holds a Master of Engineering (M.E.) in Computer Science and Engineering from Jadavpur University, Kolkata, where his postgraduate research focused on trustworthy AI, generative image synthesis, geometry-aware image transformation, diffusion models, and Large Language Model (LLM)-based intelligent systems. His research addresses challenges in explainable AI-assisted content generation by integrating semantic understanding, prompt intelligence, and interpretable image transformation techniques. He also earned his Bachelor of Technology (B.Tech.) in Computer Science and Engineering from Aliah University, Kolkata, establishing a strong foundation in computer science principles and intelligent computing.

Prior to joining Dayananda Sagar University, also served as a Teaching Assistant at Jadavpur University, where he actively contributed to the teaching and mentoring of Bachelor of Engineering (B.E.) and Master of Computer Applications (MCA) students. His responsibilities included conducting laboratory sessions, assisting in lectures, mentoring student projects, evaluating assignments, and supporting academic and research activities. This experience strengthened his passion for outcome-based education and research-oriented teaching.

His current research focuses on Generative AI, Deep Learning, Large Language Models (LLMs), Natural Language Processing, Computer Vision, Diffusion Models, Explainable Artificial Intelligence (XAI), Trustworthy AI, and AI-driven Image Generation. He is particularly interested in developing intelligent systems that combine semantic understanding, explainability, and human-centric AI for real-world applications. His ongoing work aims to bridge the gap between advanced AI technologies and practical engineering solutions through innovative and interdisciplinary research.

With a strong academic background and growing research experience, actively participates in research collaborations, curriculum development, and emerging AI technologies. He is committed to advancing high-impact research in intelligent computing while fostering innovation, interdisciplinary collaboration, and excellence in teaching.

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LinkedIn: https://www.linkedin.com/in/wakar-yunus/