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
- Nicolae, Dragoş Constantin; Yadav, Rohan Kumar; Tufiş, Dan (2022). A Lite Romanian BERT:ALR-BERT. Computers. ISSN: 2073-431X. 11 (4). doi:10.3390/computers11040057.
- Yadav, Rohan Kumar; Lei, Jiao; Granmo, Ole-Christoffer; Goodwin, Morten (2021). Enhancing Interpretable Clauses Semantically using Pretrained Word Representation. Proceedings of the Fourth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP. ISBN: 978-1-955917-06-3. Association for Computational Linguistics. chapter. s 265 - 274.
- Yadav, Rohan Kumar; Lei, Jiao; Granmo, Ole-Christoffer; Goodwin, Morten (2021). Human-Level Interpretable Learning for Aspect-Based Sentiment Analysis. Proceedings of the AAAI Conference on Artificial Intelligence. ISSN: 2159-5399. s 14203 - 14212.
- 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.
- 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.
- 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. 226doi: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.
Last changed: 12.12.2020 11:12