Researcher · Engineer · Educator

Sushant
Chalise

Instructor & System Administrator at Pulchowk Campus, IOE · Tribhuvan University

Computer Engineering and Data Science researcher working at the intersection of AI, computer vision, and structural health monitoring. Holds two Master's degrees from Tribhuvan University and completed an Erasmus+ research mobility at the University of Sannio, Italy. Currently instructs Samsung Innovation Campus courses at Pulchowk Campus, IOE, and contributes to SOI Asia's DHASH project on digital cultural heritage, collaborating with researchers across Japan, Thailand, Malaysia, and the Philippines.

7
Peer-reviewed
publications
7+
Years in
academia
2
Master's
degrees
5+
National &
global awards
IEEE Young
Professionals
Chair
Sushant Chalise
🇮🇹
Erasmus+ Researcher University of Sannio, Italy · Jan-Apr 2026
About

Background & Expertise

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2 Master's Degrees, Completed

B.E. in Electronics & Communication (IoE, TU) · M.Sc. Climate Change & Sustainable Dev. (GPA 3.3/4) · M.Sc. Computer Engineering — Data Science & Analytics (GPA 3.5/4), thesis: Marker-Based Vision System for Pose Estimation and Tracking of Civil Structures

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Research Interests

AI & Machine Learning · Computer Vision & Vision-Based Sensing · Structural Health Monitoring · Sensor-Based Infrastructure Assessment · Digital Twins · 3D Reconstruction & Digital Heritage · Sustainable Infrastructure

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Institutional Roles

System Administrator, Pulchowk Campus (2019–present) · Instructor, Samsung Innovation Campus (2023–present) · Research Contributor, SOI Asia / DHASH (2023–present)

Er. Sushant Chalise is an engineer, researcher, and educator based at the Institute of Engineering, Tribhuvan University — Nepal's premier technical institution. His current research sits at the intersection of computer vision, structural health monitoring, and AI: his M.Sc. thesis developed a low-cost, marker-based computer-vision system for pose estimation and dynamic-response tracking of civil structures, carried out in part during an Erasmus+ research mobility in the Civil Structures Laboratory at the University of Sannio, Italy.

Alongside this, he is a Research Contributor to SOI Asia's DHASH project on digital cultural heritage and open science, collaborating with institutions across the Asia-Pacific and presenting DHASH work in Yokohama, Japan and at the Asian Institute of Technology, Thailand. He also instructs Samsung Innovation Campus courses in programming, data science, and big data analytics at Pulchowk Campus, where he has served in system administration and ICT infrastructure roles since 2019.

His research path began with an M.Sc. in Climate Change and Sustainable Development, for which he received an earlier Erasmus+ mobility grant to conduct thesis research in Italy on solar radiation estimation using hybrid AI models. He also co-founded Green Coins Pvt. Ltd., a climate-tech social enterprise developed with the UNDP Accelerator Lab, and serves as IEEE Young Professionals Chair.

Python OpenCV DeepTag / Marker Tracking Deep Learning Transfer Learning Signal Processing Gaussian Splatting 3D Computer Vision NumPy / Pandas / SciPy Data Visualisation Linux / Server Administration CCNA

Experience Timeline

2024–2026
M.Sc. Computer Engineering (Data Science)
Pulchowk Campus, IOE, TU — completed, GPA 3.5/4.0
Thesis: Marker-Based Vision System for Pose Estimation and Tracking of Civil Structures
Jan-Apr, 2026
Erasmus+ Researcher
University of Sannio, Italy
Vision-based structural dynamic testing, Civil Structures Laboratory
2023–Now
Instructor
Institute of Engineering, TU
Samsung Innovation Campus — Coding, Data Science, Big Data Analytics
2023–Now
Research Contributor
SOI Asia / DHASH
Digital cultural heritage, open science, Asia-Pacific collaboration
2019–Now
System Administrator
Pulchowk Campus, IOE, TU
ICT infrastructure, network & web services, software development
2019–2021
M.Sc. Climate Change & Sustainable Dev.
Pulchowk Campus, IOE · + Erasmus+ Italy
GPA 3.3/4 · Thesis: Solar Radiation using ANN Hybrid Models
2018–2020
Co-Founder & CTO
Green Coins Pvt. Ltd.
Climate-tech startup · UNDP Accelerator Lab · Climate Launchpad 1st Runner-Up
2014–2017
B.E. Electronics & Communication Eng.
Kantipur Engineering College, IOE, TU
Final Project: Smart City using IoT · CCNA certified
Research & Publications

Peer-Reviewed Work

Research spanning computer vision, structural health monitoring, digital cultural heritage, and AI-driven infrastructure assessment — published in international journals and conferences.

2026
Preliminary Assessment of a Low-Cost DeepTag-Based Vision System for Structural Dynamic Testing
Chalise S., Joshi B., Balestrieri E., Monaco M., Picariello F., Neyestani A., D'Arco M.
IEEE MetroLivEnv 2026
Read paper ↗
2026
A Transfer Learning-Based Approach for Automatic Monument Detection
Giri S., Purbey J., Adhikari S., Pokharel P., Dawadi B.R., Pati B.M., Ito A., Chalise S., Satyal S.
IAES International Journal of Artificial Intelligence, 15(4), 3326–3341
Read paper ↗
2025
Efficient 3D Scene Reconstruction from Multi-View RGB Images Using Optimized Gaussian Splatting
Aryal A., Giri S., Panday S.P., Sharma S., Dawadi B., Chalise S.
IEEE Access
Read paper ↗
2025
Automatic Monument Detection: Leveraging Deep Learning for Cultural Heritage Applications
Giri S., Purbey J., Adhikari S., Ito A., Dawadi B., Chalise S., Satyal S.
CANDAR 2025
Read paper ↗
2025
An Optimized Graph Based Implementation for Efficient Journey Planning with Public Transport in Kathmandu Valley
Parajuli M.P., Sharma M., Chalise S., Giri S.
International Journal on Engineering Technology, 2(2), 296–305
Read paper ↗
2021
Prediction of Solar Radiation: A Case Study at Hill Station Kushma, Nepal using Artificial Neural Networks (ANNs)
Chalise S., Bhattrai A., Neupane P., Chalise A., Bhattarai N., Poudyal K.N.
Proceedings of 10th IOE Graduate Conference, Vol. 10, pp. 1065–1070
Conference paper ↗
🇮🇹

Erasmus+ Research Mobility — University of Sannio, Italy

Conducted research in the Civil Structures Laboratory at the University of Sannio (Jan-Apr 2026), developing a low-cost, DeepTag-based vision system for structural dynamic testing. This work, supervised jointly with collaborators including Prof. Monaco and Prof. Picariello, formed the core of the M.Sc. thesis and led to a peer-reviewed publication at IEEE MetroLivEnv 2026.

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SOI Asia / DHASH — Digital Cultural Heritage

Research Contributor to DHASH, a SOI Asia project on digital cultural heritage and open science, collaborating with researchers across the Asia-Pacific. Presented DHASH work at a project showcase in Yokohama, Japan (2025) and at the Asian Institute of Technology, Thailand, and presented at APAN 62's E-Culture Working Group. Also a participant in AI3 (Asian Internet Interconnection Initiatives) in Malaysia and the Philippines, and EBA Minamata fieldwork in Japan.

View Google Scholar profile ↗ View ORCID iD ↗
Work

Delivered Projects

From government information systems to climate-tech platforms and technical education — a selection of impactful projects built across sectors.

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Institute of Engineering, TU — Instructor
Samsung Innovation Campus
Design and deliver SIC coursework in coding, data science, and big data analytics for engineering students at Pulchowk Campus, IOE.
Teaching Data Science Curriculum Design details
Project Bank MIS
National Planning Commission, Nepal
Local/Provincial Project Bank Management Information System
Designed and deployed a nationwide MIS enabling government project tracking at local and provincial levels. Delivered orientation and training to policy makers and government employees across Nepal.
Government MIS Policy details
GreenCoins
Green Coins Pvt. Ltd. — Co-founder & CTO
GreenCoins — Climate-Tech Social Enterprise
Co-founded a social business with UNDP Accelerator Lab partnership. Built platforms including Walkman, Hariyobazar, and GreenPartner Interface. Winner at Climate Launchpad Nepal; Top 11 in South Asia.
Climate Tech UNDP Startup details
Info Viz
MSDSA · Pulchowk Campus
Visualisation of Priorities at Pulchowk Campus
Interactive data visualisation dashboard developed for academic decision-making. Supervised by Asst. Prof. Aman Shakya, with team members Suraj Kalu and Yatru Magar.
Data Viz Dashboard details
Awards & Recognition

Achievements

🇮🇹
Erasmus+ Research Mobility
University of Sannio, Italy · Structural Dynamic Testing
2024–2026
2
🌍
Climate Launchpad Nepal — 1st Runner-Up
Green Coins · National Climate Competition
2020
11
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Climate Launchpad South Asia — Top 11
Regional Climate Innovation Programme
2020
5
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Startup ICT Award — Top 5
Nepal ICT Startup Competition
2019

Past Experience

Earlier roles & recognition, kept here for the full record
2023–2024
Consultant Engineer
National Planning Commission, Nepal — delivered orientation and training on the Local/Provincial Project Bank Management Information System (LPBMIS/PPBMIS) to government employees at local and provincial level.
2022
IoE Football Cup — First Place
Institute of Engineering, Nepal.
2019
Belt and Road Entrepreneurial Stories — Top 20
International Entrepreneurship Competition, China.
Insights

Writing & Tutorials

Technical writing on cloud infrastructure, data visualisation, and engineering topics.

Hadoop on AWS
Cloud Infrastructure
How to Setup a Hadoop Cluster and Configure on AWS
Step-by-step guide to provisioning EC2 instances, configuring HDFS, YARN, and deploying Apache Hadoop in a multi-node cluster on Amazon Web Services.
Read article →
Data Visualisation
Data Science
Data Visualisation: History, Evolution & Modern Practice
An exploration of how data visualisation has evolved from early statistical graphics to modern interactive dashboards — and why it matters for communicating research.
Read article →
✍️
More articles coming soon
Working on posts about vision-based structural monitoring, digital cultural heritage, and teaching data science at IoE.
Contact

Get in Touch

Open to research collaborations, speaking invitations, consulting enquiries, and teaching opportunities.

🎓 Currently seeking PhD positions in computer vision, structural health monitoring, and AI for infrastructure / digital heritage — happy to discuss potential collaborations.
Location Kageshwori Manohara, Kathmandu, Nepal
Phone +977-9849****75
Google Scholar View publications ↗

Also find me at

LinkedIn — Sushant Chalise Facebook — Sushant Chalise Instagram — @sushantchalise

Certifications

CCNA 200-215 Neural Networks & Deep Learning Data Scientist's Toolbox R Programming IT Infrastructure Computer Networking