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Bimal Bhattarai

PhD Research Fellow

PhD Research Fellow

 
Office:
A03207 ( Jon Lilletuns vei 9, Grimstad )
Office hours:
8:00 am to 4:00 pm

I am currently a PhD candidate at the University of Agder (UiA). I work under the supervision of Professor Ole-Christoffer Granmo as a part of the Center for Artificial Intelligence Research (CAIR). I received a MSc in Information and Communication from Chosun University, South Korea. My research is focused primarily on applications of Artificial Intelligence (AI) and Deep Learning in indoor navigation and chatbots. Specifically, I am working with the CAIR team to design a chatbot models using the Tsetlin Machine.

Research interests

Deep learning, Machine Learning, Tsetlin Machine, Indoor Navigation

Work experience

Research Assistant, Chosun university 2017-2019) 

BSS Engineer at ZTE Corporation, Nepal  (2016-2017)

Internship at ZTE Corporation, Nepal  (2016)

Selected publications

B. Bhattarai, R. K. Yadav, H. Gang and J. Pyun, "Geomagnetic Field Based Indoor Landmark Classification Using Deep Learning," in IEEE Access, vol. 7, pp. 33943-33956, 2019. doi: 10.1109/ACCESS.2019.2902573

R. K. Yadav, B. Bhattarai, H. Gang and J. Pyun, "Trusted K Nearest Bayesian Estimation for Indoor Positioning System," in IEEE Access, vol. 7, pp. 51484-51498, 2019. doi: 10.1109/ACCESS.2019.2910314

Bimal Bhattarai, Ashok Subedi, N. Krishna Chaitanya. Channel Sensing in Cognitive Radio by Using MATLAB. The IUP Journal of Telecommunications, Vol. VII, No. 4, November 2015, pp. 16-27

Bhattarai, B.; Hwang, S.-S.; Pyun, J.-Y. “An Efficient Geomagnetic Indoor Positioning System Using Smartphones.” The 3rd International Conference on Next Generation Computing (ICNGC2017b), Korea, December 2017

Bhattarai, B.; Gang, H.-S.; Pyun, J.-Y. “Deep Neural Network Architecture for Geomagnetic based Indoor Positioning System,” Korea Telecom Society 2019 Winter Conference Proceedings, Korea, January 2019

Last changed: 20.09.2019 20:09