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Nikhil Naik





Nikhil Naik is a PhD candidate at the MIT Media Laboratory. His research interests are in computer vision and computational imaging. His recent work focuses on harnessing online imagery for applications in the social sciences. He is a recipient of the Harvard Prize Fellowship and Dhirubhai Ambani Scholarship. His research has been featured in The Atlantic, The Economist, The Guardian, and Harvard Business Review, among others. He is also a decent ping-pong player.

My research focuses on developing machine learning algorithms that harnessing online imagery for applications in the social sciences. I have created methods that analyze street-level imagery to conduct automated surveys of cities at unprecedented resolution and scale.


List of Publications:

N. Naik, R. Raskar, and C. Hidalgo. “Cities Are Physical Too: Using Computer Vision to Measure the Quality and Impact of Urban Appearance”, American Economic Review: Papers & Proceedings. (2016):106(5), 128-132.

A. Dubey, N. Naik, D. Parikh, R. Raskar, and C. Hidalgo. “Deep Learning the City: Quantifying Urban Perception at a Global Scale”, European Conference on Computer Vision. (2016)

N. Naik, S. Kominers, R. Raskar, E. Glaeser, and C. Hidalgo. “Do People Shape Cities, or Do Cities Shape People? The Co-evolution of Physical, Social, and Economic Change in Five Major U.S. Cities”, NBER Working Paper No. 21620, (2015).

E. Glaeser, S. Kominers, M. Luca, and N. Naik. “Big Data and Big Cities: The Promises and Limitations of Improved Measures of Urban Life”, NBER Working Paper No. 21778, (2015).

N. Naik, A. Kadambi, C. Rhemann, S. Izadi, R. Raskar, and S. Kang. “A Light Transport Model for Mitigating Multipath Interference in Time-of-flight Sensors”, IEEE Conference on Computer Vision & Pattern Recognition, (2015):73-81.

N. Naik, J. Philipoom, R. Raskar, and C. Hidalgo. “Streetscore–Predicting the Perceived Safety of One Million Streetscapes”, IEEE Conference on Computer Vision & Pattern Recognition Workshops, (2014):793-799.

N. Naik, C. Barsi, A. Velten, and R. Raskar. “Estimating Wide-angle, Spatially Varying Reflectance using Time-resolved Inversion of Backscattered Light”, Journal of Optical Society of America A, (2014):31(5), 957-963.

N. Naik, S. Zhao, A. Velten, R.Raskar, and K. Bala. “Single View Reflectance Capture using Multiplexed Scattering and Time-of-flight Imaging”, ACM Transactions on Graphics, (2011):30(6), 171-179.