Greetings,
I am Md Kaykobad Reza, an Applied Scientist at Amazon. I recently completed my Ph.D. in Computer Science and Engineering at the University of California, Riverside, under the supervision of Professor M. Salman Asif. I earned my B.Sc. from Bangladesh University of Engineering and Technology and my M.Sc. from University of California, Riverside. I am deeply grateful to Dr. M. Sohel Rahman, whose mentorship introduced me to the world of research and provided the foundational knowledge that has shaped my academic journey.
My research lies at the intersection of multimodal machine learning, computer vision, multimodal large language models, and data mining. I am particularly focused on enhancing the robustness of multimodal models, ensuring they remain computationally efficient, even with large-scale data; effectively learn from noisy, occluded, or low-quality data; and adapt seamlessly to missing, unaligned, or incomplete modalities in real-world scenarios. Through my work, I aim to develop more reliable, adaptable, explainable, and cost-effective multimodal solutions with real-world applications.
I have had the privilege of gaining valuable professional experience at Amazon Lab126, bKash Limited, and Samsung R&D Institute Bangladesh. These roles enriched my technical expertise and deepened my understanding of the application of machine learning to real-world problems.
Last Updated: September 29, 2026