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Rohan Kumar Yadav

PhD Research Fellow

Center for Artificial Intelligence Research (CAIR)

 
Office:
A2121 ( Jon Lilletuns vei 9, Grimstad )
Office hours:
8:00 am to 4:00 pm

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. 

Research interests

Tsetlin Machine

Deep Learning

Chatbots

LSTM

Indoor Positioning System

Wireless Positioning

Work experience

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

 

Selected publications

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.

Scientific publications

  • Yadav, Rohan Kumar; Lei, Jiao; Granmo, Ole-Christoffer; Goodwin, Morten (2021). Interpretability in Word Sense Disambiguation using Tsetlin Machine. Proceedings of the 13th International Conference on Agents and Artificial Intelligence (ICAART 2021). ISBN: 978-989-758-484-8. SciTePress. chapter. s 402 - 409.
  • Yadav, Rohan Kumar; Lei, Jiao; Goodwin, Morten; Granmo, Ole-Christoffer (2021). Positionless aspect based sentiment analysis using attention mechanism.. Knowledge-Based Systems. ISSN: 0950-7051. 226Cdoi:10.1016/j.knosys.2021.107136.
  • 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.
  • Yadav, Rohan Kumar; Lei, Jiao; Granmo, Ole-Christoffer; Goodwin, Morten (2021). Interpretability in Word Sense Disambiguation using Tsetlin Machine.

Last changed: 12.12.2020 11:12