Professor (Associate), College of Artificial Intelligence Convergence, Department of Computer Science & Engineering, Sejong University
Address: Dayang AI centre #430 , Sejong University, 209 Neungdong-ro, Gwangjin-gu, Seoul 05006, Korea
E-mail: rajendra@sejong.ac.kr (official);
dhakal_rajendra@outlook.com / aperioraj@gmail.com (personal)
Office: +82-2-6935-2446, Fax: +82-2-3408-4321
Affiliation:
2024.03-Present, Professor (Associate), Sejong University, Seoul, Korea
Past affiliations:
2018.03-2024.02, Assistant Professor, Sejong University, Seoul, Korea
2017.05 - 2018.02, Post Doctorate Fellow, Soongsil University, Seoul, Korea; http://www.ssu.ac.kr/web/eng/home
2016.09 - 2017.04, Post Doctorate Fellow, Kwangwoon University, Seoul, Korea; https://www.kw.ac.kr/en/index.do
2014.08-2016.08, Teaching Assistant for undergraduate electronics engineering classes
2009.09-2012.08, Lecturer, Tribhuvan University, Institute of Engineering (IOE), Pashchimanchal Campus, Pokhara, Nepal; https://ioepas.edu.np
2008.01 - 2009.09, Lecturer, Dhanghadi Engineering College, Pokhara University, Nepal; http://nast.edu.np
I have completed my Ph.D in electronics engineering. Currently, I am working as an associate professor in the College of Artificial Intelligence Convergence, Department of Computer Science & Engineering at Sejong University. I possess twelve years of teaching experience in computer science and electronics engineering, two years of postdoctoral research, and have served as a professor at my current position for over seven years.
I am working on the development of a miniaturized, flexible, and reusable radio frequency resonator-based biosensor as a lab-on-a-chip device for the label-free, non-invasive detection of glucose in human blood to facilitate testing for type 1 and type 2 diabetes. I utilize my extensive experience in designing, developing, characterizing, and implementing radio frequency resonators and flexible filters for biomedical and other applications. A sports rehabilitation monitoring system with flexible pressure sensor employing machine-learning algorithms was developed to classify and identify different rehabilitation postures.
My current research focuses on utilizing flexible wrist devices and RF-integrated sensors for biomedical applications, integrating advanced AI models using machine learning techniques to enhance patient diagnosis.
I have successfully reported my works in numerous prestigious journals, including Biosensor and Bioelectronics, Applied Physics Letters, Scientific Reports, Medical Engineering & Physics (Elsevier Publication), Nano Energy, Sensor and Actuator A- physical, Cancers, Frontiers in Bioengineering and Biotechnology, Analytical Methods, Nanoscale Advances, Advanced Functional Materials, Nano Letters and so on. Moreover, these papers have been published in the top journals in Dr. Dhakal’s field, reflecting his peers’ recognition of the value of this research. I was honored with the outstanding Ph.D., foreign student by Kwangwoon University (2015) showing the most significant promise in international scientific publications, patents, outstanding presenter, and the best paper award at a couple of international and domestic conferences.
I have been regularly invited to conduct peer review for authoritative journals in the field, including Micromachines, Sensors, Energies, Electronics, Technologies, Applied Sciences, Polymer, The International Journal of Advanced Manufacturing Technology, Electronics Letters, IET Microwaves, Antennas & Propagation, Medical Engineering and Physics, Tsinghua Science and Technology, Microwave and Optical Technology Letters, Sensor and Actuators B: Chemical, Wireless Personal Communications and Advanced functional materials. I have completed at least 70 reviews to date.
My research background in electronics, with a focus on electrical engineering and teaching experience in computer science and engineering, strongly aligns with the field's requirements of electrical and computer engineering. I intend to pursue a position as a faculty member (tenured/tenure track) at a university in the United States.
