"World-class center of excellence in AI Research and Innovation to improve the lives of people."

Research | Educate | Innovate

High-quality research from LMICs on critical global problems and democratizing AI. Building a solid research and higher education foundation in AI, informatics, and applied math in Nepal.

NAAMII is a company not-distributing profit created by Nepali researchers with the mission of building a firm foundation of scientific research in Nepal in the field of informatics, applied maths, and AI and contributing toward democratizing and decentralizing AI in the world. Doing science and technology research in low-income countries such as Nepal is challenging- there is a lack of adequate funding, experts in diverse fields, and policy and infrastructure. We are therefore taking a very comprehensive approach to solving this complex web of systemic problems.

Featured Research Projects

Genomic Epidemiology of SARS-CoV-2 in Nepal

The coronavirus disease 2019 (COVID-19), caused by the Severe Acute Respiratory Syndrome Coronavirus 2

Evaluating Nepali Sexual, Reproductive, and Maternal Health (SRMH) Chat-bot with Large Language Models (LLMs)

Most people in Nepal don’t have easy access to clear information about Sexual, Reproductive, and Maternal

3D Reconstruction from Biplanar X-ray

CT scans are often taken to visualize internal body organs, diagnose pathologies and for surgical planning.

Abusive Nepali Text Detection

This project focuses on aiding IPV research to understand the nature and prevalence of online IPV and to

AI-assisted VIA Screening of Cervical Cancer

This project aims to research and develop AI-assisted VIA screening using mobile-captured photos to

AI Assisted Microscopy

This project aims to develop object detection models to detect diarrhea cysts from vegetables, stool, and water

AI Ethics Survey in Nepal

The main goal of this project is to do a landscape mapping of understanding and approaches to AI Ethics in Nepal

Systems Genomics Modeling of Multi-drug Resistance in Mycobacterium tuberculosis

Multi-drug resistance presents a growing challenge to global tuberculosis (TB) control efforts, with a

Geometric deep learning on graphs for electroencephalogram dataset

The objective of the study is to design a geometric deep learning approach to identify whether a person is

GI tract anomaly detection from endoscopy images

The aim of this research is to build comprehensive techniques for detection, localization and

State-of-the-art in Nepali NLP

We will first do a comprehensive review of the current state-of-the art of NLP tools and techniques

Nepali Dialogue Corpus

This research aims to study the existing Nepali dialogue corpus (if any), identify their limitations, and

Motion Analysis for Clinical Classification of Dystonia Patients using deep Learning-based Approach

We aim to design and implement a deep learning-based algorithm to classify different dystonia types and

AI-Assisted Smartphone Microscopy

Water-borne diseases due to parasites such as Giardia and Cryptosporidium are still an important problem in

Semi-Supervised Semantic Image Segmentation

Supervised deep learning methods have seen tremendous progress with several successful applications since

Uncertainty Estimation in Semantic Segmentation of US Images

2D US is the most common imaging modality for cardiovascular diseases and fetal scans. The portability and

Automatic Spine Curvature Estimation from X-ray Images

Idiopathic scoliosis is one of the most common spinal deformities that can be potentially lethal if not intervened

Augmented Reality System for Overlaying Objects in Room

“My room” is an exclusive feature in Explorug, a product of Alternative Technology, that can overlay 3D

Estimating Pesticide Concentration with Smartphone

This is a multi-disciplinary research with an aim to empower everyone to be able to measure pesticide

HIPPIE- Autonomous Robots Using Machine Learning and Swarm Intelligence

Artificial Intelligence, Machine Learning and Deep Learning has been around for a while. Everyone is

Research Groups

Transforming Global health with AI (TOGAI)

Transforming Global health with AI (TOGAI) aims to identify and solve difficult but important problems

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B Bhattarai MultiModal Learning Lab (MMLL)

B Bhattarai MultiModal Learning Lab (MMLL) is a research group within NAAMII that focuses on theoretical

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Computational Endoscopy, Surgery & Pathology (CESP)

Computational Endoscopy, Surgery & Pathology Group (CESP) is another autonomous research group within

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Computational Genomics Lab (CGL)

The Computational Genomics Lab (CGL) aims to solve complex problems in biological sciences using

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Providential use of spatial and human visual computing (PUSHVIC)

The Providential Use of Spatial and Human Visual Computing (PUSHVIC) Lab is a pioneering research laboratory

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Research using Artificial Intelligence in Neuroscience (RAIN)

Research using Artificial Intelligence in Neuroscience (RAIN) is another autonomous research group within

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AI & Society

As the applications of AI are increasing rapidly across all sections of society, we need to actively work to better

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Other Adj. Faculties

There are other adjunct faculties working in different projects other than the groups.

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Education & Outreach Section

Annual Nepal AI School (ANAIS)

NAAMII annually organizes Nepal AI school and has successfully conducted three winter editions. The

Training Workshops

NAAMII conducted a 3-month summer research Training program from June-August 2020. 40 highly

Public Lecture Series

NAAMII has been organizing different lecture series in collaboration with

Industry & Innovation

Incubating & Supporting Start-ups

NAAMII is incubating Diyo.AI, providing scientific support for developing the next generation of

Industry Training & Capacity Building

NAAMII Research Scientist has trained, mentored, and helped build a machine learning team at different

Research & Development for Industry

Our team, led by a Research Scientist, does research and development work for different organizations in

NAAMII in Media