Currently my research is 3D estimation and texture reconstruction from single images, specifically document images. I am trying to dewarp folded/warped document images to its equivalent flatbed scanned version using an end-to-end neural network [Read more >].
Prior to this one, I was working in two projects. One related to Speech disfluency detection and correction, and another was detecting Dark Patterns in webpages. These projects were advised by Prof. Roy Shilkrot[Read more >].
In my Masters', I was working in Evolutionary and Nature Inspired Algorithms, advised by Prof. Haider Banka.
PhD. Computer Science, Stony Brook University, New York, USA (2016-Present)
M.Tech. Computer Science & Engineering, Indian Institute of Technology Dhanbad, India (2014-2016)
B.Tech. Computer Science & Engineering, West Bengal University of Technology, India (2009-2013)
CRHS: Clustering and Routing in Wireless Sensor Networks using Harmony Search Algorithm Praveen Lalwani, Sagnik Das, Haider Banka, and Chiranjeev Kumar, Neural Computing and Applications 30, no. 2 (2018): 639-659.
Increase Apparent Public Speaking Fluency By Speech Augmentation Sagnik Das, Nisha Gandhi, Tejas Naik, and Roy Shilkrot, 44th IEEE International Conference on Acoustics, Speech & Signal Processing (ICASSP), 2019. [Presentation due].
The Common Fold: Utilizing the Four-Fold to Dewarp Printed Documents from a Single Image Sagnik Das, Gaurav Mishra, Akshay Sudharshana, and Roy Shilkrot, In Proceedings of the 2017 ACM Symposium on Document Engineering, pp. 125-128. ACM, 2017.
Bacterial Foraging Optimization Algorithm for CH Selection and Routing in Wireless Sensor Networks Praveen Lalwani, and Sagnik Das, In Recent Advances in Information Technology (RAIT), 2016 3rd International Conference on, pp. 95-100. IEEE, 2016.