Nazmus Saquib

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I design wearable and tangible sensor networks, and model human interactions using mathematics. Using these tools, my aim is to build intelligent machines that empower individuals and human networks.

My current research focuses on instrumentation of early childhood classrooms to sense social and educational interactions, and creating AI driven interventions based on such data. I utilize RF based sensing, machine learning, network science, and data visualizations to augment the capabilities of teachers and parents in helping their children learn efficiently.

I am a PhD student at the Laboratory for Social Machines (directed by Deb Roy) at the MIT Media Lab. My research is supported by Wildflower Foundation, where I am a Technical and Research Fellow. Prior to attending MIT, I received a BA in Physics from Bard College and MS in Computational Engineering from University of Utah.

Other than being a researcher, I deeply care about mentoring underprivileged students who aim to become stellar researchers and technology leaders, and also about empowering emerging economies using data and AI. Combining these ideas, I currently run two initiatives in Bangladesh. I also advise Ice9Interactive (who are using computer vision to solve traffic problems in Dhaka), and The Tech Academy in Bangladesh, which teaches coding & robotics to underprivileged school students.

Fun fact: I go by my last name, Saquib (pronounced Sa-kib).

Email: lastname [at] mit [dot ] edu