Posts by Collection
portfolio
Closed-loop optogenetic system for deep behavioral phenotyping
ProjectCARE: Suicide Prevention from Tissue Damage Images
In collaboration with Harvard University and Massachusetts General Hospital.
Mouse Behavior Tracking
In collaboration with National Institutes of Health.
Sensorium: Visual Cortex Modeling
Real-time Action Recognition
Real-time Automated Answer Scoring
Rahat: AI-based Disaster Management Platform
Unvoiced: Sign-languge to Speech
Digital Image Forensics
Photogrammetry 3D Printer
Analysis of Integrative Medicine for Elephantiasis
CDAE4InfoExtraction
litFS: A lightweight File System
NGO Protal
NotePal
r2ic: Rust to Intermediate Code
Learning Algorithms to detect Vulnerabilities in Source Code
sesh: Simple Elegant Shell
watchIt
publications
Digital Image Forensics using Deep Learning
Akash Nagaraj, Mukund Sood, Vivek Kapoor, Yash Mathur, Bishesh Sinha
Preprint. Technical Report published in eForensics (May 2020)
Learning Algorithms in Static Analysis of Web Applications
Akash Nagaraj, Bishesh Sinha, Mukund Sood, Yash Mathur, Sanchika Gupta, Dinkar Sitaram
A Concise Introduction to Reinforcement Learning in Robotics
Akash Nagaraj, Mukund Sood, Bhagya M Patil
Machine Learning-based Analysis of Filarial Lymphoedema
Akash Nagaraj, Mukund Sood, Bishesh Sinha, Ashok Raman, Dinkar Sitaram
Oral presentation at The 8th National Colloquim on Evidence-based Integrative Medicine.
Real-time Action Recognition for Fine-Grained Actions and The Hand Wash Dataset
Akash Nagaraj, Mukund Sood, Chetna Sureka, Gowri Srinivasa
Preprint. Patent Pending. arXiv:2210.07400
Cross-domain Variational Capsules for Information Extraction
Akash Nagaraj, Akhil K, Akshay Venkatesh, Srikanth HR
Real-Time Automated Answer Scoring
Akash Nagaraj, Mukund Sood, Gowri Srinivasa
Closed-loop optogenetic system for deep behavioral phenotyping
Remy Meir, Akash Nagaraj, Samir Samadov, Jaeson Jang, Thomas Serre, David Sheinberg, Jason Ritt, Diane Lipscombe
Presented at Society for Neuroscience (SfN) 2023, (Under review at COSYNE 2024)
Diffusion Models as Artists: Are we Closing the Gap between Humans and Machines?
Victor Boutin, Thomas Fel, Lakshya Singhal, Akash Nagaraj, Julien Colin, Thomas Serre
Published at ICML 2023 (Oral presentation, top 2.3% of papers)
Ecological data and objectives align deep neural network representations with humans
Akash Nagaraj, Alekh Karkada Ashok, Drew Linsley, Francis E Lewis, Peisen Zhou, Thomas Serre
teaching
Teaching Assistant: CS-314 Big Data
Department of Computer Science, PES University, 2018
Taught and mentored students for Dr. Dinkar Sitaram’s course CS-314: Big Data, with 60 students.
Teaching Assistant: CS-341 Cloud Computing
Department of Computer Science, PES University, 2018
Taught and mentored students for Dr. KV Subramaniam’s course CS-341: Cloud Computing, with 44 students.
Course Design and TA: CLPS-1291 Computational Methods for Mind, Brain and Behavior
Department of Cognitive, Linguistic and Psychological Sciences, Brown University, 2022
Designed and created assignments for the Dr. Thomas Serre’s course CLPS-1291: Computational Methods for Mind, Brain and Behavior, with ~50 students.
Course Design and TA: CLPS-1291 Computational Methods for Mind, Brain and Behavior
Department of Cognitive, Linguistic and Psychological Sciences, Brown University, 2023
Designed and created assignments for the Dr. Thomas Serre’s course CLPS-1291: Computational Methods for Mind, Brain and Behavior, with ~60 students.