Nitin is a doctoral student in Computer Science. He had started as a Masters' student at Oxford on Commonwealth scholarship after graduating from the B.Tech program in Information Technology & Mathematical Innovations based at Cluster Innovation Centre, University of Delhi. Nitin's area of research involves machine learning for sensitive datasets with a special interest in healthcare technologies and quantified-self data.
Prior to joining Oxford as a graduate student, Nitin has interned and collaborated on research projects with IBM Research, Dalhousie University, Indian Institute of Technology Bombay and, Defence Research & Development Organization, Ministry of Defence, India
Nitin is currently interning at the Alan Turing Insitute for the summer of 2018. He is working on developing strategies for privacy-aware neural network based classification and training.
QUOTIENT: Two−Party Secure Neural Network Training and Prediction
Nitin Agrawal‚ Ali Shahin Shamsabadi‚ Matt J Kusner and Adrià Gascón
In Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security. Pages 1231–1247. ACM. 2019.
Iris recognition based on sparse representation and k−nearest subspace with genetic algorithm
Ashok K Bhateja‚ Shikhar Sharma‚ Santanu Chaudhury and Nitin Agrawal
In Pattern Recognition Letters. Vol. 73. Pages 13–18. 2016.
Fast & Dynamic Image Restoration using Laplace equation Based Image Inpainting
Nitin Agrawal‚ Prashant Sinha‚ Avnish Kumar and Shobha Bagai
In DU Journal of Undergraduate Research and Innovation. Vol. 1. No. 2. 2015.