Publications, talks, and academic work in AI, ML, and NLP.
Publications
| Google Scholar Profile | Citations: 39 | h-index: 3 | i10-index: 2 |
INDUS [EMNLP 2024]
B. Bhattacharjee, A. Trivedi, M. Muraoka, M. Ramasubramanian, N. Pantha, et al., “Indus: Effective and efficient language models for scientific applications,” in Proc. Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024. [15 citations] [Paper]
Guardrailing LLMs for Science [2024]
N. Pantha, M. Ramasubramanian, I. Gurung, M. Maskey, and R. Ramachandran, “Challenges in guardrailing large language models for science,” arXiv preprint arXiv:2411.08181, 2024. [14 citations] [arXiv]
Blaze [IEEE CLOUD 2023]
S. Marru, B. Freitag, D. Wannipurage, R. Bommala, N. Pantha, et al., “Blaze: A High-Performance, Scalable, and Efficient Data Transfer Framework with Configurable and Extensible Features,” in Proc. IEEE 16th International Conference on Cloud Computing (CLOUD), pp. 58-68, 2023. [8 citations]
Feature Selection [SoutheastCon 2024]
N. Pantha, M. Ramasubramanian, I. Gurung, M. Maskey, L. M. Sanders, et al., “Feature Selection in High-Dimensional Space with Applications to Gene Expression Data,” in SoutheastCon 2024, pp. 6-15, 2024. [1 citation]
Query by Humming [ICAEIC 2019]
P. Koirala, M. Chapagain, N. Pantha, and N. B. Adhikari, “Effects of Auto Tuning and Pitch Normalization on Query by Humming,” in Advanced Engineering and ICT-Convergence 2019 (ICAEIC-2019), p. 128, 2019. [1 citation]
ABCDE [KJSE 2017]
N. Pantha, M. Kshitiz, and P. Ashis, “Artificial Intelligence, Big Data and Cloud Driven E-Governance (ABCDE),” KEC Journal of Science and Engineering (KJSE), vol. 3, no. 2, p. 14, 2017.
Talks
Engineering-AI [May-July, 2019]
Location: JEC, Bhaktapur, Nepal
As a part-time lecturer for teaching the engineering course AI at JEC, I cover the whole course through the expected timeline.
Slide: nish1001.github.io/engineering-ai/
AI Use-Cases [March 26, 2019]
Location: Amman, Jordan
The talk is a part of presentation that our COMPANY Mpercept Tech gave in Amman, Jordan to a telecommunication. This part of presentation is where I talk about general introduction to Artificial Intelligence and different usecases for systems that can actually implement AI.
Slide: nish1001.github.io/ai-usecases
Debunking AI [May 04, 2018]
Location: Kaffe Codes, Thapathali, Kathmandu, Nepal
The talk is about debunking the myths and realities of AI and hype. It was given at DMH Friday Session 10 organized by Swopna Digital at Kaffe Codes.
Slide: nish1001.github.io/debunking-ai
Let’s Kickstart ML [October 14, 2017]
Location: Patan College, Kupondole, Lalitpur, Nepal
The talk is about how any person can kickstart their path to AI and Machine Learning. It was given at first AI meetup in Kathmandu.
Slide: nish1001.github.io/lets-kickstart-ml
Video: youtube.com/watch?v=s0jfB4Ps9O0
Writing Clean Code [August 19, 2017]
Location: Fusemachines Nepal, Hattisar, Kathmandu, Nepal
This is somewhat agnostic talk about how we can render a code clean. It was given in Python Nepal Meetup #12.