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Rajendra Dhakal

Prof. Rajendra Dhakal

Computer Science and Engineering,  Sejong University

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Rajendra Dhakal was born in Nepal. He received his Ph.D., in Electronic Engineering from the Kwangwoon University, Seoul, Korea in 2016. He is currently working as an Assistant Professorin the College of Artificial Intelligence Convergence, Department of Computer Science & Engineering at Sejong University, Seoul, Korea. He had worked as a Post doc fellow in the Radio Frequency Integrated Centre (RFIC) at the Department of Electronic Engineering, Kwangwoon University. He has published more than 30 research articles in peer-reviewed, indexed journals and conferences. He has coedited the first volume of ‘‘Practical RF Biosensor Technology’’ book published in Feb. 2017. He also serves as a reviewer for several peer-review journals (SCI/ SCIE). My current research focuses on utilizing flexible wrist devices for biomedical applications, integrating advanced AI models using machine learning techniques to enhance patient diagnosis.

Research Keywords & Expertise

Resonance Biosensor
Resonators
bandstop filter
Gallium arsenide
Glucose Detection

Fingerprints

56%
Resonators
38%
resonant frequency
26%
bandstop filter
19%
Gallium arsenide
5%
glucose biosensor
5%
Dielectric Materials

Short Biography

Rajendra Dhakal was born in Nepal. He received his Ph.D., in Electronic Engineering from the Kwangwoon University, Seoul, Korea in 2016. He is currently working as an Assistant Professorin the College of Artificial Intelligence Convergence, Department of Computer Science & Engineering at Sejong University, Seoul, Korea. He had worked as a Post doc fellow in the Radio Frequency Integrated Centre (RFIC) at the Department of Electronic Engineering, Kwangwoon University. He has published more than 30 research articles in peer-reviewed, indexed journals and conferences. He has coedited the first volume of ‘‘Practical RF Biosensor Technology’’ book published in Feb. 2017. He also serves as a reviewer for several peer-review journals (SCI/ SCIE). My current research focuses on utilizing flexible wrist devices for biomedical applications, integrating advanced AI models using machine learning techniques to enhance patient diagnosis.