Welcome

Welcome to the GitHub repository of the Applied AI research lab. This page is dedicated to disseminating research products/publications on artificial intelligence, machine learning, pattern recognition, computer vision, image processing, data mining and big data with various application domains such as healthcare informatics and medical imaging, document imaging, biometrics, forensics, speech analysis and Internet of Things.
We actively participate and/or sponsor the International Conf on Recent Trends in Image Processing & Pattern Recognition (RTIP2R).

Research (Science & Engineering)

Healthcare-medical imaging informatics

5K+ CT scans - fractured limbs (dataset)
Fractured limbs (classification & detection)
Covid-19 (screening)
Multimodal learning & representation (Pneumonia)

Data science & machine learning tools

Books

Active Learning meets Federated Learning – Healthcare Informatics (contract signed, with Aaisha Makkar - University of Derby)
Building models is not machine learning innovation (book, to appear)
Graph neural networks - when to deploy? (book, to appear)
Active learning - what, how, and when to deploy? (book, to appear)

2AI lab team

KC Santosh,PhD (Founder & Director, 2AI research lab, Profile and LinkedIn)
Rodrigue Rizk, PhD
Aaisha Makkar, PhD (University of Derby)
More members

List of Contrubutors

Padam Jung Thapa, Siddhi Kiran Bajracharya, Suprim Nakarmi

Openings

We frequently have openings for research positions, and strongly suggest to contact at santosh.kc@usd.edu | santosh.kc@ieee.org

Follow us on Linkedin to know more