• 2020 – present: PhD, Civil Engineering, Kathmandu University, Dhulikhel. Flood Modelling and Flood Plain Management using hydrodynamic and Machine Learning Approaches
• 2010 – 2011: Masters of Science, Hydrology, Hydrogeology and Water Resource(120 HECS), Stockholm University, Stockholm, Sweden.
• 2011: Extra Courses in MSc.(10 HECS), Lund University, Lund, Sweden, Introduction and advanced GIS (online course).
• 2010 – 2011: Extra Courses in MSc.(22.5 HECS), Stockholm University, Stockholm, Sweden,
• 1. Scientific writing in English, 2. Positioning, Map Projection, and Digital Photogrammetry, 3. Remote Sensing and Digital Image Processing.
• 2003 – 2008: Bachelor of Engineering, Civil Engineering, Khwopa Engineering College, Bhaktapur.

• Programming Languages: Python, MATLAB, R
• GIS & RS: QGIS, ArcGIS, Google Earth Engine
• Hydrology & Hydraulic Modeling:  HEC-RAS, HEC-HMS
• Machine Learning & AI: Machine Learning for classification and regression modeling with ANN, RNN, SVM, RF, etc.
• Environmental Modeling: ISEE systems STELLA for System Dynamics 

• Machine Learning in ArcGIS: Map Land Use/ Land Cover in GIS, 22nd July, 2020
• Python 101 - Introduction to Programming, 29th July 2020
• EO&GEO Series: Remote Sensing for Flood Risk and Hazard Management, 11th May 2023
• Research4Life Publishing and Research Communication Short Course 1: From idea to article: manuscript writing, journal selection and publishing in high impact journals, 19th May to 2nd July 2023
• How to influence policy and practice with open research, 12th July 2023
• EO&GEO Series: UAV Remote Sensing for LULC, Landscape, Citizen Sciences, 13th July 2023
• Good Citation Behavior, 18th July 2023
• An Introduction to Ethical Publishing Behavior, 7th August 2023
• The Taylor & Francis STEM Peer Reviewer Bootcamp, 5th - 7th September 2023
• Publishing in compliance with the OSTP Nelson Memo: what we know so far, 7th September 2023
• Reviewing in the Sciences, 5th November 2023

• 2016 - Present: ​Principal & Associate Professor, Khwopa College of Engineering.
• 2014 - 2016: Vice-Principal, Khwopa College of Engineering.
• 2013: Lecturer, Khwopa Engineering College.
• 2012: Part-time faculty, Khwopa College of Engineering & Khwopa Engineering College.​

Water Resource Management: Flood, Hydrology, Machine Learning/AI, Disaster Management
 

Journal Articles

• 2024 Y. Bhattarai, S. Duwal, S. Sharma, and R. Talchabhadel. Leveraging machine learning and open-source spatial datasets to enhance flood susceptibility mapping in transboundary river basin. International Journal of Digital Earth, volume 17, page 2313857. Taylor & Francis, 2024, ( Impact Factor:5.1 ).
• 2023 S. Duwal, D. Liu, and P. M. Pradhan. Flood susceptibility modeling of the karnali river basin of nepal using different machine learning approaches. Geomatics, Natural Hazards and Risk, volume 14. Taylor & Francis, 12 2023, ( Impact Factor:4.7 ).
• 2023 S. Duwal, Y. Bhattarai, R. Milapati, and R. Talchabhadel. Charting the course to resilience: Hydrodynamic modeling for socio-economic insights for flood risk management in nepal’s ungauged roshi river catchment. Journal of Hydrology and Meteorology, volume 11, pages 53–66, 2023.
• 2021 M. Shakya, C.K. Kawan, A.K. Gaire, and S. Duwal. Post-earthquake damage assessment of traditional masonry buildings: A case study of bhaktapur municipality following 2015 gorkha (nepal) earthquake. Engineering Failure Analysis, volume 123, 2021, ( Impact Factor:4 ).
• 2017 S. Shrestha, M. Reina Ortiz, M. Gutland, R. Napolitano, I. M. Morris, M. Santana Quintero, J. Erochko, S. Kawan, R. G. Shrestha, P. Awal, S. Suwal, S. Duwal, and D. K. Maharjan. Digital recording and noon-destructive techniques for the understanding of structural performance for rehabilitating historic structures at the kathmandu valley after gorkha earthquake 2015. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, volume 4, 2017.

In Conference Proceedings

• 2024 S.O. Mangkhaseum, S. Duwal, Y. Bhattarai, and A. Hanazawa. Harnessing multisatellite remote sensing data and machine learning for flood risk assessment in nam ngum river basin, lao pdr. 2024.
• 2023 S. Duwal, P. M. Pradhan, Y. Bhattarai, and D. Liu. Machine learning for flood susceptibility mapping and assessment of associated risk to the population and buildings in the karnali river basin. 2023.
• 2023 Y. Bhattarai and S. Duwal. Application of the machine learning in management of flood hazard in transboundary river. volume 95, pages 194–195, 2023.
• 2018 R. Joshi, S. Duwal, and S. Duwal. Making bhaktapur a rain-efficient city. 2018.
• 2016 M. Shakya, S. Duwal, and C. K. Kawan. Rapid visual damage assessment of masonry buildings after 2015 gorkha earthquake: A case study of bhaktapur municipality rapid visual damage assessment of masonry buildings after 2015 gorkha earthquake: A case study of bhaktapur. pages 202–211, 2016.
• 2016 K. Gnyawali, S. Maka, B.R. Adhikari, D. Chamlagain, and A. R. Dhungana S. Duwal. Spatial implications of earthquake induced landslides triggered by the april 25 gorkha earthquake mw 7.8: Preliminary analysis and findings. 2016. 

• Engineering Hydrology,
• Engineering Economics,
• Computational Techniques in Civil Engineering,
• Elective III: GIS Application & Remote Sensing, 
• Technology Environment and Society,
• Computer-Aided Design,
• Environmental Modeling.

Grants Awards

• 2020 – present: University Grants Commission (UGC), Nepal, PhD Research Grant as a PhD research scholar at Kathmandu University

Professional Memberships

• 2008 - present: General Member, Nepal Engineering Council
• 2014 - present: General Member, Nepal Engineering Association
• 2023 - present: Individual Member, South Asia Alliance of Disaster Research Institutes