Dec 28, 2026 - Jan 7, 2027
Embedded Files
The Annual Nepal AI School (ANAIS) is a unique platform in South Asia that brings together from all over the world scientists, faculties, and participants for an intensive 11 days of AI lectures, labs, and project works. The course covers depth from fundamentals to a wide range of applications and domains, including the frontier of recently developed ideas and methods. ANAIS attracts diverse audiences, from senior undergraduates and graduates to PhD students, teaching faculties, and industry professionals.
Join over 500+ in-person attendees and thousands of livestream participants as we come together to shape the future of AI and AI Agents.
Date: 28th Dec 2026 to 7th Jan 2027
Venue: Kathmandu, Nepal (Exact venue to be announced)
Registration Opens in August 2026. Stay Tuned!
Last Year's Speakers
Prof. Anubha Gupta
IIIT Delhi, India
Prof. Balaraman Ravindran
IIT Madras, India
Prof. Frank Dignum
Umeå University, Sweden
Prof. Khondaker Abdullah-Al-Mamun
United International University, Bangladesh
Prof. Mayank Vatsa
IIT Jodhpur, India
Prof. Michael Bronstein
University of Oxford, UK /
AITHYRA Austria
Prof. Virginia Dignum
Umeå University, Sweden
Prof. Xavier Bresson
National University of Singapore, Singapore
Assoc. Prof. Alexey Zaytsev
Applied AI Institute, Russia
Assoc. Prof. Ashutosh Modi
IIT Kanpur, India
Assoc. Prof. Ismail Ceylan
TU Wien Austria /
AITHYRA Austria
Assoc. Prof. Sandeep Kumar
IIT Delhi, India
Asst. Prof. François Rameau
SUNY Korea, South Korea NAAMII, Nepal
Asst. Prof. Manoj Shakya
Kathmandu University, Nepal
Asst. Prof. Raunak Bhattacharya
IIT Delhi, India
Adj. Asst. Prof. Bipendra Basnyat
University of Maryland, Baltimore
NAAMII, Nepal
Dr. Haitz Sáez de Ocáriz Borde
University of Cambridge, University of Oxford, UK
Dr. Martin Balaba
Academy for Health Innovations, Uganda
Dr. Vijay Prakash Dwivedi
Stanford University, USA
Dr. Viktor Schlegel
Imperial College London, UK
Martin Karungi
KaCyber Technologies
Alisia Lupidi
University of Oxford, UK
Teodora Reu
University of Oxford, UK
OUR OBJECTIVES
OUR OBJECTIVES
Bring together top scientists, researchers, and professors from around the globe to Nepal, providing a venue for sharing and discussing cutting-edge technological advances in AI among both veteran and young researchers.
Provide prerequisite students/professionals fundamentals of mathematics, statistics, programming and paper reading skills required for starting a career in AI research.
Inspire early stage researchers from Nepal and the region to take on challenging high impact AI problems in visual recognition, natural language processing, medical science etc.
Create new opportunities for the participants and play an important role in democratizing AI by inspiring the next generation of leaders in AI from developing countries
Provide overview of state-of-the-art research in ML and AI.
GLIMPSES OF PAST EDITIONS
GLIMPSES OF PAST EDITIONS
World-renowned scientists and faculty from top universities have come to Nepal and delivered more than 200 hours of lectures and more than 80 hours of hands-on lab sessions. Participants have had the opportunity to network, learn, and enjoy 11 days of intensive workshops in each of the past five editions.
PREVIOUS LECTURES
PREVIOUS LECTURES
Mathematics
Mathematics
Linear Algebra
Bishesh Khanal (ANAIS 2018, Youtube)
Linear Algebra
Shashwot Shresthamali (ANAIS 2021, Youtube)
Probability and Statistics
Samrachana Adhikari (ANAIS 2018, Part 1|Part 2)
Probability and Statistics
Sandesh Ghimire (ANAIS 2021, Youtube)
Introduction to Optimization
Ajad Chhatkuli (ANAIS 2018, Youtube)
Continuous Probability Distributions
Suresh Manandhar (ANAIS 2018, Part 1 | Part 2 )
Introductory
Introductory
Introduction to AI and Motivation for Linear Algebra and Computer Vision
Bishesh Khanal (ANAIS 2018, Youtube)
Introduction to AI and Motivation for Linear Algebra and Computer Vision
Bishesh Khanal (ANAIS 2021, Youtube)
Introduction to Machine Learning
Samrachana Adhikari (ANAIS 2018, Part 1 | Part 2 | Part 3)
Linear Regression/Logistic Regression
Aayush Chaudhary (ANAIS 2021, Youtube)
Supervised Learning
Kris Sankaran (ANAIS 2021, Part 1 | Part 2) Self/Semi/Un-Supervised Learning
Danda Pani Paudel (ANAIS 2021, Youtube)
Reinforcement Learning
John D. Martin (ANAIS 2021, Youtube)
Deep Neural Network
Deep Neural Network
Deep Learning Foundations
Kris Sankaran (ANAIS 2018, Part 1 | Part 2 | Part 3)
Advanced Deep Learning
Kris Sankaran (ANAIS 2018, Part 1 | Part 2 | Part 3)
Graphical Modeling and Deep Learning
Kris Sankaran and Suresh Manandhar (ANAIS 2018, Youtube)
Convolutional Neural Networks (CNNs)
Nripesh Parajuli (ANAIS 2021, Part 1 | Part 2)
Computer Vision
Computer Vision
Computer Vision - 3D Geometry (Beginner)
Ajad Chhatkuli (ANAIS 2018,Youtube)
Computer Vision: Learning from Points
Ajad Chhatkuli (ANAIS 2018,Youtube)
Recap to Computer Vision - Stereo Vision and 3D
Ajad Chhatkuli ( ANAIS 2018 ,Youtube)
Image Representation, Processing and Feature Extraction
Bishesh Khanal( ANAIS 2018 ,Youtube)
Computer Vision: Deep Face Recognition
Binod Bhattarai (ANAIS 2018 ,Youtube)
Computer Vision: Structure From Motion
Ajad Chhatkuli (ANAIS 2018,Youtube)
Medical Imaging Informatics
Bishesh Khanal and Taman Upadhaya (ANAIS 2018 - Youtube)
Geometry Deep Learning
Geometry Deep Learning
Geometric Deep Learning
Michael Bronstein ( ANAIS 2021, Part 1 | Part 2)
Geometric Deep Learning on Complexes
Cristian Bodnar ( ANAIS 2021, Youtube)
Graph Neural Networks (GNNs)
Vijay Prakash Dwivedi ( ANAIS 2021, Youtube | Part 2)
Subgraphs for More Expressive GNNs
Fabrizio Frasca (ANAIS 2021, Youtube)
Generative Modeling
Generative Modeling
Generative Modeling
Jakub Tomczak (ANAIS 2021, Youtube | Another Video)
Variational Autoencoders (VAEs)
Variational Autoencoders (VAEs)
Variational Autoencoders (VAEs)
Prashnna K Gyawali (ANAIS 2021, Youtube )
Vision Language Models & VQA
Vision Language Models & VQA
Vision Language Models & VQA
Kushal Kafle (ANAIS 2021, Youtube)
Google Sites
Report abuse