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Bimal Bhattarai

PhD Research Fellow

PhD Research Fellow

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

Scientific publications

  • Bhattarai, Bimal; Granmo, Ole-Christoffer; Lei, Jiao (2022). Word-level human interpretable scoring mechanism for novel text detection using Tsetlin Machines. Applied intelligence (Boston). ISSN: 0924-669X. doi:10.1007/s10489-022-03281-1.
  • Abeyrathna, Kuruge Darshana; Bhattarai, Bimal; Goodwin, Morten; Gorji, Saeed Rahimi; Granmo, Ole-Christoffer; Lei, Jiao; Saha, Rupsa; Yadav, Rohan Kumar (2021). Massively Parallel and Asynchronous Tsetlin Machine Architecture Supporting Almost Constant-Time Scaling. Proceedings of Machine Learning Research (PMLR). ISSN: 2640-3498.
  • Bhattarai, Bimal; Granmo, Ole-Christoffer; Jiao, Lei (2021). Measuring the Novelty of Natural Language Text using the Conjunctive Clauses of a Tsetlin Machine Text Classifier. Proceedings of the 13th International Conference on Agents and Artificial Intelligence (ICAART 2021). ISBN: 978-989-758-484-8. SciTePress. ICAART 2021. s 410 - 417.
  • Yadav, Rohan Kumar; Bhattarai, Bimal; Lei, Jiao; Goodwin, Morten; Granmo, Ole-Christoffer (2020). Indoor Space Classification Using Cascaded LSTM. IEEE Conference on Industrial Electronics and Applications. ISSN: 2158-2297. s 1110 - 1114. doi:10.1109/ICIEA48937.2020.9248347.
  • Bhattarai, Bimal; Yadav, Rohan Kumar; Gang, Hui-Seon; Pyun, Jae-Young (2019). Geomagnetic Field Based Indoor Landmark Classification Using Deep Learning. IEEE Access. ISSN: 2169-3536. doi:10.1109/ACCESS.2019.2902573.
  • Yadav, Rohan Kumar; Bhattarai, Bimal; Gang, Hui-Seon; Pyun, Jae-Young (2019). Trusted K Nearest Bayesian Estimation for Indoor Positioning System. IEEE Access. ISSN: 2169-3536. 7s 51484 - 51498. doi:10.1109/ACCESS.2019.2910314.

Last changed: 20.09.2019 20:09