Joined LIOPS
Started as a 3D AI Engineer at LIOPS, working on stereo depth estimation while continuing broader interests in 3D vision and multimodal AI.
MD Khalequzzaman Chowdhury Sayem
3D AI Engineer at LIOPS ยท Researcher in 3D Vision and Multimodal AI
I am a 3D AI Engineer at LIOPS, where I work on stereo depth estimation for 3D AI and vision systems. My research background comes from the Vision & Learning Lab at UNIST, where I worked under the supervision of Prof. Seungryul Baek and Prof. Binod Bhattarai. My research focuses on multimodal learning and vision-language models, with an emphasis on structured and grounded reasoning in complex visual environments, particularly involving articulated hands and human-object interactions.
My recent work develops large-scale benchmarks and real-time Transformer architectures that integrate explicit 3D geometric supervision into multimodal models, improving fine-grained spatial reasoning reliability and cross-task generalization.
I am currently interested in advancing multimodal foundation models toward more reliable and interpretable reasoning, and in translating 3D perception research into practical depth-estimation systems, with long-term directions in grounded world models and embodied multimodal systems that integrate perception, language, and action.
I am always open to collaborations and discussions. If you are interested in my research or have any inquiries, feel free to reach out to me at khalequzzamansayem@gmail.com.
