Pranay Manocha

 

                   Ph.D Candidate

                   Department of Computer Science

                       Princeton University                                                        Picture

 

                       Machine Learning Group

                       Google Scholar

 

                       Contact:-

                          413, 35 Olden Street, Computer Science Department

                          Princeton, New Jersey 08540

                           Email:- pmanocha@princeton.edu

                                       pmanocha@cs.princeton.edu               

 

 

Hey !

I am currently a Ph.D. student in the Machine Learning Group at the Department of Computer Science, Princeton University. I joined Princeton in Fall'18. Currently, my academic advisors are Dr. Karthik Narasimhan and Dr. Adam Finkelstein. 

I am very interested in the idea of multimodal machine learning, specifically combining textual and visual cues to solve various problems in the field of Question Answering, and Audio Generation. I am also deeply interested in audio and speech tasks related to cognition and how do humans perceive the various differences in audio and to quantifying the different measures by which we can measure the difference between two audio files. 

In the summer of 2017, I interned at Carnegie Mellon University, PA - advised by Dr. Bhiksha Raj, who leads the Machine Learning and Speech Processing Group at LTI-CMU. We worked on the problem of retrieving all semantically similar audio given a query clip. Devised a novel siamese neural network based approach which encodes the audio into a vector representation which is useful for retrieving similar recordings.
Previously, in the summer of 2016, I interned at Indian Institute of Technology, Delhi (IIT Delhi) advised by Dr. Tapan K. Gandhi, where I worked on various Machine Learning algorithms for analyzing and detecting the tumors in human brain using MR images. Designed a comprehensive tool where we could easily segment the tumor in the brain MR Image and then also see what 'Brodmann Area' it corresponds to.

My most updated CV is here

 

Publications (in reverse chronological order):

CONTENT-BASED REPRESENTATIONS OF AUDIO USING SIAMESE NEURAL NETWORKS[arXiv]   

Pranay Manocha, Rohan Badlani, Anurag Kumar, Ankit Shah, Benjamin Elizalde, Bhiksha Raj

IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018  

 

Brain Classification and Segmentation of MR Brain Images [arXiv]   

Tanvi Gupta, Pranay Manocha, R.K Gupta, B.K Panigrahi, Tapan K. Gandhi

Neurocomputing


Tumor Segmentation and Brain Mapping for the Tumor     [arXiv]      

Pranay Manocha, Snehal Bhasme, Tanvi Gupta, Tapan K. Gandhi

International Conference on Human-Computer Interaction - IHCI 2017


Tumor Segmentation and Gradation for MR Brain Images    
[arXiv]   

Tanvi Gupta, Pranay Manocha, R.K Gupta, B.K Panigrahi, Tapan K. Gandhi

Computational Intelligence and Communication Technology (CICT-2018)