CV

Education

Ph.D in Computer Science, University of Memphis, 2024 (expected)
B.E. in Electronics and Computer Engineering, IOE, Pulchowk Campus, Tribhuvan University University, 2015

Work experience

NLP/AI Research Intern: May. 2022 – August 2022
- Philips, Boston, MA
- Research, development and evaluation of key phrase extraction using unsupervised embedding based methods and contrastive learning framework
Research Assistant Aug. 2017 – Aug. 2020
- NIH Center of Excellence, Mobile Data to Knowledge Center (MD2K), Memphis, TN
- Developed end to end machine learning model for just in time intervention based on mobile sensor data.
- Developed, designed and implemented visualization and analytic crowd-tracing infrastructure for mContain - City of Memphis advertised COVID-19 tracing application released in Google Play Store
- Contributor of feature extraction algorithm for PySpark based open source analytic software - Cerebral Cortex (mCerebrum)
Software Engineering Intern: May 2014 – March. 2016
- E & T NepalSoftware Engineering Intern Kathmandu, Nepal
- Worked on proprietary computational fluid dynamics system for particle image velocimetry
Teaching Assistant:May 2016 – June 2017
- Institute of Engineering, Pulchowk Campus, Kathmandu, Nepal
- Created assignments, lectures and graded undergraduate course for C programming

Publications

Automated Assessment of Quality of Jupyter Notebooks Using Artificial Intelligence and Big Code Permalink

Oli, Priti, Rabin Banjade, Lasang Jimba Tamang, and Vasile Rus. 'Automated Assessment of Quality of Jupyter Notebooks Using Artificial Intelligence and Big Code.' In The International FLAIRS Conference Proceedings, vol. 34. 2021.

Domain Model Discovery from Textbooks for Computer Programming Intelligent Tutors Permalink

Banjade, Rabin, Priti Oli, Lasang Jimba Tamang, Jeevan Chapagain, and Vasile Rus. 'Domain Model Discovery from Textbooks for Computer Programming Intelligent Tutors.'

A Comparative Study of Free Self-Explanations and Socratic Tutoring Explanations for Source Code Comprehension Permalink

Tamang, Lasang Jimba, Zeyad Alshaikh, Nisrine Ait Khayi, Priti Oli, and Vasile Rus. 'A comparative study of free self-explanations and socratic tutoring explanations for source code comprehension.' In Proceedings of the 52nd ACM Technical Symposium on Computer Science Education, pp. 219-225. 2021.

Nl-augmenter: A framework for task-sensitive natural language augmentation Permalink

Dhole, Kaustubh D., Varun Gangal, Sebastian Gehrmann, Aadesh Gupta, Zhenhao Li, Saad Mahamood, Abinaya Mahendiran et al. 'Nl-augmenter: A framework for task-sensitive natural language augmentation.' arXiv preprint arXiv:2112.02721 (2021).

Beyond the imitation game: Quantifying and extrapolating the capabilities of language models Permalink

Srivastava, Aarohi, Abhinav Rastogi, Abhishek Rao, Abu Awal Md Shoeb, Abubakar Abid, Adam Fisch, Adam R. Brown et al. 'Beyond the imitation game: Quantifying and extrapolating the capabilities of language models.' arXiv preprint arXiv:2206.04615 (2022).

Improving Code Comprehension Through Scaffolded Self-explanations Permalink

Oli, P., Banjade, R., Lekshmi Narayanan, A. B., Chapagain, J., Tamang, L. J., Brusilovsky, P., & Rus, V. (2023, June). Improving Code Comprehension Through Scaffolded Self-explanations. In International Conference on Artificial Intelligence in Education (pp. 478-483). Cham: Springer Nature Switzerland.

Preliminary Experiments with Transformer based Approaches To Automatically Inferring Domain Models from Textbooks Permalink

Banjade, Rabin, Priti Oli, Lasang Jimba Tamang, and Vasile Rus. 'Preliminary Experiments with Transformer based Approaches To Automatically Inferring Domain Models from Textbooks.' In Proceedings of the 15th International Conference on Educational Data Mining, p. 667. 2022.

Automated Assessment of Student Self-explanation During Source Code Comprehension Permalink

Chapagain, Jeevan, Lasang Tamang, Rabin Banjade, Priti Oli, and Vasile Rus. 'Automated Assessment of Student Self-explanation During Source Code Comprehension.' In The International FLAIRS Conference Proceedings, vol. 35. 2022.6

SelfCode: An Annotated Corpus and a Model for Automated Assessment of Self-Explanation During Source Code Comprehension Permalink

Chapagain, Jeevan, Zak Risha, Rabin Banjade, Priti Oli, Lasang Tamang, Peter Brusilovsky, and Vasile Rus. 'SelfCode: An Annotated Corpus and a Model for Automated Assessment of Self-Explanation During Source Code Comprehension.' In The International FLAIRS Conference Proceedings, vol. 36. 2023.

Automated Extraction of Domain Models from Textbook Indexes for Developing Intelligent Tutoring Systems Permalink

Banjade, Rabin, Priti Oli, and Vasile Rus. 'Automated Extraction of Domain Models from Textbook Indexes for Developing Intelligent Tutoring Systems.' In International Conference on Intelligent Tutoring Systems, pp. 124-136. Cham: Springer Nature Switzerland, 2023.

Rabin Banjade

CV