Prof. Dr. Ranjit Shrestha
Kathmandu University
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Academic Career Length
12Years (2015-Present)
(Calculated once Scilit publication data is synced: current year − year of first publication + 1)
Representative Publications
View All Publications1 August 2018 in Infrared Physics & Technology
Journal Article
Ranjit Shrestha
Wontae KimJournal Article
HKHojong Kim
Hojong KimNLNirjal Lamichhane
Nirjal LamichhaneCKCheol Sang Kim
Cheol Sang KimRanjit ShresthaInfrared thermography is a non-destructive technique that uses infrared radiation to visualize surface temperature variations. It is a versatile tool that can be used to detect a variety of problems in buildings, including insulation deficiencies, moisture intrusion, structural compromise, and electrical faults. The review paper discusses the fundamental principles of infrared thermography, the different types of infrared approaches, and the condition monitoring of buildings using infrared imaging techniques. It also discusses research showing how infrared thermography has been applied to recognize and solve different building-related problems. The article highlights the potential for infrared thermography to advance while also acknowledging its current limits. Infrared thermography is predicted to become an even more effective technique for building diagnostics with the development of more sensitive cameras and the incorporation of artificial intelligence.
1 June 2017 in Infrared Physics & Technology
Journal Article
Ranjit ShresthaWontae Kim1 October 2015 in International Journal of Precision Engineering and Manufacturing
Journal Article
Journal Article
YCYoonjae Chung
Yoonjae ChungRanjit ShresthaSLSeungju Lee
Seungju LeeWontae KimThis study performed an experimental investigation on pulsed thermography to detect internal defects, the major degradation phenomena in several structures of the secondary systems in nuclear power plants as well as industrial pipelines. The material losses due to wall thinning were simulated by drilling flat-bottomed holes (FBH) on the steel plate. FBH of different sizes in varying depths were considered to evaluate the detection capability of the proposed technique. A short and high energy light pulse was deposited on a sample surface, and an infrared camera was used to analyze the effect of the applied heat flux. The three most established signal processing techniques of thermography, namely thermal signal reconstruction (TSR), pulsed phase thermography (PPT), and principal component thermography (PCT), have been applied to raw thermal images. Then, the performance of each technique was evaluated concerning enhanced defect detectability and signal to noise ratio (SNR). The results revealed that TSR enhanced the defect detectability, detecting the maximum number of defects, PPT provided the highest SNR, especially for the deeper defects, and PCT provided the highest SNR for the shallower defects.
1 November 2018 in Infrared Physics & Technology
Journal Article
Ranjit ShresthaWontae KimAbout Me
Dr. Ranjit Shrestha is an Assistant Professor at the Department of Mechanical Engineering, Kathmandu University, Nepal. He holds a PhD in Mechanical Engineering from Kongju National University, South Korea. His academic contributions have been recognized with several honors, including the Academic Excellence Award from the Nepal Engineers’ Association (July, 2025), the Best Graduate Researcher Award (August, 2019, Kongju National University), and multiple Best Paper and Poster Presentation Awards at international conferences. He has carried out numerous projects on structural health monitoring using thermal imaging and is currently leading research on indoor thermal comfort analysis through simulation and experimental studies of window behavior and 2D/3D camera-based custom insoles for diabetic foot care. He has published widely, contributing book chapters, journal articles, and peer-reviewed papers in reputed international outlets, and actively serves as a reviewer for leading publishers including Elsevier, Springer Nature, and MDPI, with over 200 verified reviews. His teaching portfolio includes machine elements design and processes, engineering drawing, image processing and analysis, and AI applications in mechanical systems. His research interests span nondestructive testing and evaluation, structural health monitoring, infrared thermography, image processing, modeling and simulation, renewable energy technologies, and thermal comfort studies.