Day 1: 15th September 2021, Wednesday

8:00 AM - 9:15 AM: Talk 1: AI, Machine Vision and Robotics in Agriculture

Dr. Manoj Karkee;

Associate Professor, Biological Systems Engineering

Washington State University


Decreasing availability and increasing cost of farm labor is a critical challenge faced by agricultural

industry around the world. Robotics has played a key role in reducing labor use and increasing

productivity in farming. Modular automation and robotics technologies developed in recent years,

decreasing cost and increasing capabilities of sensing, control and automation technologies such as

UAVs, and increasing emphasis by governments around the world in mechanizing and automating

agriculture have created a conductive environment to develop and adopt smart farming technologies for

the benefit of agricultural industries around the world including smaller, subsistence farming operations

common in developing and underdeveloped countries. In this presentation, the author will first discuss

the importance of precision and automated/robotic systems for the future of farming (Smart Farming,

Ag 4.0). He will then summarize past efforts and current status of agricultural automation and robotics

including examples from fruit harvesting and fruit tree pruning, followed by an introduction of the

novel systems being developed in his program. The technologies to be introduced include robotic fruit

harvesting, targeted shake-and-catch harvesting, and fruit tree and berry bush pruning. At the end,

major challenges and opportunities in agricultural robotics and related areas, especially in small-scale

farming common in countries like Nepal, as well as potential future directions in research and

development will be discussed.

11:00 AM- 12:15 AM Keynote 1:

Prof. Dr. Shashidhar Ram Joshi

Dean, Institute of Engineering,

Pulchowk, Nepal

1:15 PM - 2:30 PM : Talk 2: TBA

Tej Shahi

Asst. Professor, TU-CDCSIT

Research Fellow, CQUniversity, Australia

Co-founder, MLDSN

2:45 PM- 4:00 PM: Talk 3: TBA

Ashok Pant

VP of Engineering and Co-founder

Treeleaf Technologies Pvt. Ltd

4:15 PM - 5:15 PM: Talk 4: TBA

Dr. Binod Bhattarai

Senior Research Fellow

University College London

Day 2: 16th September 2021, Thursday

8:00 AM- 9:15 AM: Keynote 2: Secure and Trustworthy Machine Learning Algorithms and Artificial Intelligence Systems: Status, Challenges and Perspectives

Prof. Dr. Danda B. Rawat;

Professor, Department of Electrical Eng. & CS

Howard University, Washington DC


In this talk, we will share the overview, vision as well as technical and contributed results about the secure and trustworthy machine learning algorithms and artificial intelligence systems.

9:30 AM - 10:45 AM: Talk 5: Machine Learning in Medical Imaging and Healthcare

Dr. Ukash Nakarmi

Assistant Professor

University of Arkansas

11:00 AM - 12:15 PM: Talk 6: Leveraging NLP and ML Solutions: Current Trends and Practices.

Dr. Bal K. Bal

Associate Professor and Head of Department,

Computer Science and Engineering,

Kathmandu University


NLP and ML, when leveraged, can result in robust language technology solutions, which would not have been possible in their standalone versions. This talk gives an overview of the current trends and practices on the hybridization of two technologies to achieve state-of-the-art solutions.

1:15 PM - 2:30 PM: Talk 7: A session on AWS Cloud Computing

Anjani Phuyal

Global CTO and Founder,

Genese Solution

2:45 PM - 4:00 PM: Talk 8: Deep Active Learning

Razvan Caramalau

Research Post-graduate

Imperial College London


Large-scale dataset annotation has been a laborious, expensive, and time-consuming process. In this talk, we will go through one of the key solutions for optimizing real data selection with Active Learning. A short presentation of this standard practice is presented within the deep learning domain. We will address the recent trends and how these impacted several vision applications.

4:15 PM- 5:15 PM - Talk 9: Building a Nepali Quantum Computing Ecosystem

Dr. Manish Thapa

President, OneQuantum Nepal

Quantum Engineer, Germany


In this presentation, I will discuss how Nepalis can help catalyse a nascent quantum ecosystem within Nepal. Quantum computers operate by harnessing the fundamental laws of nature. These devices are seen to have capacity to solve computational tasks much faster than our present-day supercomputers. Tasks suited for quantum computers include traffic route optimization, drug discovery, financial modelling, better batteries and artificial intelligence, among others. Many sources estimate $50 billions worth of market for quantum computers by 2030. If this number is accurate, Nepal should partake in the quantum revolution now so as to built capabilities, workforce as well as a sizeable quantum market within Nepal and beyond. After a short crash course on quantum computing, I will discuss about different potential ways to achieve this challenging yet seeming rewarding goal.

Day 3: 17th September 2021, Friday

8:00 AM- 9:15 AM: Talk 10 : TBA

Dr. Sarbagya Ratna Shakya

Asst. Prof. Eastern New Mexico University

9:30 AM - 10:45 AM: Talk 11: TBA

Dr. Bibek Paudel

Post-doctoral Research Fellow

Stanford University

11:00 AM- 12:15 PM: Talk 12: TBA

Dr. Rakesh Katuwal

Machine Learning Engineer

Fusemachines Inc.

13:15 - 14:30: Talk 13: AI in Education

Dr. Dovan Rai


Global Institute for Interdisciplinary Education

14:45 - 16:00: Talk 14: Application of Machine Vision and Deep Learning in Agriculture

Dr. Anand Koirala

Post-doctoral Research Fellow,

Institute of Future Farming,

CQ University Australia


In this talk, he will explore some example applications of machine vision and deep learning in

Agriculture. Highlights will be Object Detection and Classification using Deep Learning

Convolutional Neural Networks (CNN). A general overview of Machine Learning, Computer

Vision and Image processing will also be covered.

17:15 - 18:15: Keynote 3: TBA

Dr. Sameer Maskey

CEO and Founder,

Fusemachines Inc.

Day 4: 18th September 2021,Saturday

8:00 - 9:15: Talk 15: An Application of NLP in Health Domain

Dr. Sabita Acharya

R &D Scientist, NLP

Proctor and Gamble, USA


This talk will cover my work on generating personalized and patient-friendly health information. I will discuss some of the challenges of working in this domain and talk about how we collected data, built our pipeline, and conducted evaluations.

9:30 AM - 10:45 AM: Talk 16: TBA

Dr. Sunil Aryal

Lecturer in IT,

Deakin University, Australia

11:00 AM- 12:15 PM: Keynote 4: TBA

Prof. Dr. Manish Pokharel

Dean, Kathmandu University

1:15 PM - 2:30 PM: Talk 17: TBA

Dr. Bhogendra Mishra

Research Fellow,

Policy Research Institute, Nepal

4:15 PM - 5:15 PM: Talk 18: TBA

Dr. Samip Malla

Wireless System Engineer


Day 5: 19th September 2021, Sunday

8:00 AM- 9:15 AM: Talk 19: Semantic Search: Retrieval with Meaning

Dr. Archana Bhattarai

Senior Search Relevance Engineer

Apple, USA


The traditional information retrieval methodology is guided by the document retrieval paradigm, where relevant documents are returned in response to user queries. This paradigm faces serious drawback if the desired result is not explicitly present in a single document. The problem becomes more obvious when a user tries to obtain complete information about a real world entity and its properties such as “best food in Kathmandu”, “best place to visit in Nepal”. In such cases, understanding the meaning of the query is important as well as collecting various facts about the target entity or concept from multiple document sources. We present in this talk, various methods to get to the meaning of the query and methods to extract information about a target entity based on the concept retrieval paradigm that focuses on extracting and blending information related to a concept from multiple sources if necessary. The paradigm is built around a generic notion of a semantic understanding which is defined as “the process of capturing the real meaning of a document beyond word and phrase frequencies, to represent the interpretation of text, in order for computers to be able to process it”.

9:30 AM- 10:45 AM: Talk 20: AI for Health: Academic and Industrial Perspective

Bishal Lamichhane

Researcher, Scalable Health Labs

Rice University, USA


We are witnessing the rapid ascent of AI-enabled healthcare technologies in the past years. Applications across the healthcare spectrum of diagnosis, therapeutics, and care are being developed with some, or the majority, of the components driven by advanced AI solutions. There are unique challenges in healthcare such as the unavailability of large datasets, the need for personalization, frequent concept drifts, privacy needs, etc. which stipulates innovative AI solutions. In this talk, I will share some recent advances on AI for healthcare applications being pursued at the Scalable Health Labs, Rice University, in collaboration with its academic and clinical collaborators. This discussion will mainly focus on mental health where opportunities for improvements are plenty. I will also share some industrial perspectives on the productization of AI solutions in healthcare markets based on my experiences at Philips Research and IMEC.

11:00 AM - 12:15 PM: Talk 21: AI in Health care for LMICs like Nepal

Dr. Bishesh Khanal

Director/Research Scientist NAAMII



Taking an example of Nepal, we will see a brief overview of important health problems in Low and Middle Income Countries, then see what potential opportunities and challenges AI has in solving some of the difficult health care delivery challenges with a focus on rural and community health services. We will then go into some of the open problems in machine learning that are relevant to the development of health care in AI.

2:45 PM - 4:00 PM: Talk 22: TBA

Er. Jnaneshwar Bohara

Computer Engineer

Government of Nepal

4:15 PM - 5:15 PM: Talk 23: TBA

Dr. Yash Raj Shrestha

Senior Researcher, ETH Zurich,

Assistant Director, Strategy and AI Lab