I am a Ph.D. Research Fellow in ICT at UiA. Currently, I am working on the Development of Chatbot for Education using Tsetlin Machine and Deep Learning. More specifically, my research topic is Word Sense Disambiguation and context embedding on the interpretable model. I have completed MSc in Information and Communication from Chosun University, South Korea. I have completed my Bachelor's degree from Sona College of Technology/Anna University in 2015. My research areas are Deep Learning, chatbots, wireless positioning, and Indoor Navigation.
Indoor Positioning System
Lecturer: Softwarica College of IT and E-commerce, Nepal
04-2019 to 09-2019
NOC Engineer: Huawei Technologies Pvt Ltd Nepal.
11-2015 to 02-2017
Rohan Yadav, Lei Jiao, Ole-Christoffer Granmo, and Morten Goodwin, "Human-Level Interpretable Learning for Aspect-Based Sentiment Analysis", AAAI 2021, accepted.
Rohan Kumar Yadav, Bimal Bhattarai, Lei Jiao, Morten Goodwin, and Ole-Christoffer Granmo, "Indoor Space Classification Using Cascaded LSTM", in 15th IEEE Conference on Industrial Electronics and Applications (ICIEA), Jun. 2020, Kristiansand, Norway, Accepted.
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
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, J.Pyun, "BLE beacon based Indoor Positioning using Variance-Weighted KNN," in International Conference on ICT Convergence 2018, Seoul, South Korea.
Last changed: 12.12.2020 11:12