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Bidur Devkota (PHD)

Pokhara-16 (Postal/Zip code: 33700), Gandaki Province, Nepal
+977 9856066658

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Ph. D. Department of ICT, Asian Institute of Technology , Thailand

Research: A Study on Tourism Monitoring using Social Media and Nighttime Light Remote Sensing Data

This work focuses on extracting crowdsourced data from online sources like Twitter, Flickr and OpenStreetMap as well as remote sensing data and analyze them to identify and describe tourism areas (study area: Nepal). Data analysis is done using state-of-the art spatial clustering and text mining algorithms like DBSCAN, TFIDF, etc. Opensources tools like Python and QGIS are used for extracting and analyzing the data.

01. Awards

Fellowship for Second Nepal Winter School in AI, Organized by Nepal Applied Mathematics and Informatics Institute for Research (NAAMII), 10-20 December, 2019 Pokhara, Nepal

Financial support for participation in International Training Workshop on BeiDou Technology and Its Applications in the Belt and Road Countries and Regions, Organized by China Satellite Navigation Office Academic Exchange Center, 16-29 September, 2019

Financial support by National Institute of Advanced Industrial Science and Technology, Japan for participation in The 6th IEEE International Conference on Big Data and Smart Computing, 27th February – 2nd  March, 2019, Kyoto, Japan

02. Articles

Using machine learning to discover tourism areas of interest from tweet clusters

CSIS Days 2020 – Research Presentation on Spatial Information Science , 20 – 21 November 2020, University of Tokyo, Japan. Bidur Devkota, Hiroyuki Miyazaki

Utilizing User Generated Contents to describe Tourism Areas of Interest.

First International Conference on Smart Technology & Urban Development (STUD 2019) December 13-14, 2019, Chiang Mai, Thailand , Bidur Devkota, Hiroyuki Miyazaki, Niraj Pahari

Using Volunteered Geographic Information and Nighttime Light Remote Sensing Data to Identify Tourism Areas of Interest.

Sustainability 2019, 11, 4718. Bidur Devkota, Hiroyuki Miyazaki, Apichon Witayangkurn, Sohee Minsun Kim

Disaggregate Hotel Evaluation by Using Diverse Aspects from User Reviews

The 6th IEEE International Conference on Big Data and Smart Computing, 27th February – 2nd  March, 2019, Kyoto, Japan, Bidur Devkota, Chenyi Zhuang, Kyoungsook Kim, Hiroyuki Miyazaki