Bishal Lakha

Hi! I am Bishal, a Ph.D. Candidate in Computer Science at Boise State University, advised by Dr. Edoardo Serra. My research focuses on developing reliable and scalable Graph ML-based algorithms, primarily for anomaly detection and cybersecurity. I also work on generative model for graph generations, LLMs and adversarial learning.

I am currently a Ph.D. Intern at the Pacific Northwest National Laboratory (PNNL), contributing to the PermitAI project with a focus on model benchmarking and LLM customization for NEPA document drafting. Previously, I worked as a Research Intern at Mitsubishi Electric Research Laboratories (MERL), where I developed spatio-temporal graph anomaly detection algorithms for IoT networks.

Prior to this, I completed my Master’s degree in Computer Science, also at Boise State University. Before my MS, I have also worked as a Machine Learning Engineer at Paaila Technology and as a Co-founder at Newrun Technology, leading projects in computer vision, speech recognition, and AI-driven automation. My undergraduate studies were in Electronics and Communication Engineering, undertaken at the Institute of Engineering, Pulchowk Campus, Tribhuvan University, Nepal.

latest posts

Dec 21, 2024	Causal Explanation for Graph Neural Network
Apr 9, 2024	Graph Diffusion Model and Its Applications
Feb 5, 2023	Generalization Ability as a Criteria of Intelligence

selected publications

IEEE

Prediction of Future Nation-initiated Cyberattacks from News-based Political Event Graph

Bishal Lakha, Jason Duran, Edoardo Serra, and 1 more author

In 2023 IEEE 10th International Conference on Data Science and Advanced Analytics (DSAA), 2023

Bib HTML

@inproceedings{10302510,
  author = {Lakha, Bishal and Duran, Jason and Serra, Edoardo and Spezzano, Francesca},
  booktitle = {2023 IEEE 10th International Conference on Data Science and Advanced Analytics (DSAA)},
  title = {Prediction of Future Nation-initiated Cyberattacks from News-based Political Event Graph},
  year = {2023},
  volume = {},
  number = {},
  pages = {1-8},
  doi = {10.1109/DSAA60987.2023.10302510},
}

IEEE

Anomaly Detection in Cybersecurity Events Through Graph Neural Network and Transformer Based Model: A Case Study with BETH Dataset

Bishal Lakha, Sara Lilly Mount, Edoardo Serra, and 1 more author

In 2022 IEEE International Conference on Big Data (Big Data), 2022

Bib HTML

@inproceedings{10020336,
  author = {Lakha, Bishal and Mount, Sara Lilly and Serra, Edoardo and Cuzzocrea, Alfredo},
  booktitle = {2022 IEEE International Conference on Big Data (Big Data)},
  title = {Anomaly Detection in Cybersecurity Events Through Graph Neural Network and Transformer Based Model: A Case Study with BETH Dataset},
  year = {2022},
  volume = {},
  number = {},
  pages = {5756-5764},
  doi = {10.1109/BigData55660.2022.10020336},
}