When he’s not developing hardware-efficient computer vision solutions for extended reality (XR) or creating novel facial landmark detection algorithms for mobile devices, you might find Upal Mahbub writing poetry in Bengali, creating “zentangle” art, or editing Dorpon, the literary magazine he publishes.
Or? You might check the list of Computing’s Top 30 Early Career Professionals for 2024, where you will definitely find him.
Mahbub is a staff engineer in the Multimedia R&D Lab at Qualcomm. In the following Q&A, he describes
How he combined deep learning with computer vision techniques to develop a real-time hand-tracking framework for XR apps
His two-year journey of editing and contributing to a computer vision book that highlights challenges and technology advances in the rapidly evolving field
How he revitalized the IEEE Computer Society’s San Diego Chapter by organizing various events, including a popular speaker series that’s now in its third year
His current work in 3D reconstruction, which requires algorithms that can efficiently reconstruct 3D scenes from 2D images or video feeds in real-time and can be applied in everything from gaming to remote collaboration
What drives his passion for research and writing, both in the science and technology realm and in more creative areas such as children’s literature
You received the Early Career Distinguished Alumni Award from the A. James Clark School of Engineering at UMD College Park in 2024. Can you share the key achievements that led to this recognition, and how has your education at UMD shaped your career?
I am honored to have received the Early Career Distinguished Alumni Award; this recognition is a testament to the impactful research and innovative contributions I have made in the fields of computer vision, machine learning, and extended reality (XR) technologies.
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