ProfessorsProfessors of Kansas State UniversityAvishek Bose, Ph.D.

Avishek Bose, Ph.D.

Kansas State University

H-index: 7

North America-United States

About Avishek Bose, Ph.D.

Avishek Bose, Ph.D., With an exceptional h-index of 7 and a recent h-index of 6 (since 2020), a distinguished researcher at Kansas State University, specializes in the field of Deep Learning, Natural Language Processing, Graph Neural Networks, Cyber Threat Intelligence, VLSI.

His recent articles reflect a diverse array of research interests and contributions to the field:

Comparative Study of Large Language Model Architectures on Frontier

Context-Augmented Key Phrase Extraction from Short Texts for Cyber Threat Intelligence Tasks

Learning representations for information mining from text corpora with applications to cyber threat intelligence

Attention-Augmented Parametric Kernel Graph Neural Network (APKGNN) for Node Classification

HPCGCN: A Predictive Framework on High Performance Computing Cluster Log Data Using Graph Convolutional Networks

Tracing Relevant Twitter Accounts Active in Cyber Threat Intelligence Domain by Exploiting Content and Structure of Twitter Network

Developing an Automated Technique to Calibrate the AASHTOWare Pavement ME Design Software

A novel approach for detection and ranking of trendy and emerging cyber threat events in Twitter streams

Avishek Bose, Ph.D. Information

University	Kansas State University
Position	Ph.D. Candidate of Computer Science
Citations(all)	141
Citations(since 2020)	131
Cited By	46
hIndex(all)	7
hIndex(since 2020)	6
i10Index(all)	3
i10Index(since 2020)	2
Email	Access Email
University Profile Page	Kansas State University
Google Scholar	View Google Scholar Profile

Avishek Bose, Ph.D. Skills & Research Interests

Deep Learning

Natural Language Processing

Graph Neural Networks

Cyber Threat Intelligence

VLSI

Top articles of Avishek Bose, Ph.D.

Title	Journal	Author(s)	Publication Date
Comparative Study of Large Language Model Architectures on Frontier	arXiv preprint arXiv:2402.00691	Junqi Yin Avishek Bose Guojing Cong Isaac Lyngaas Quentin Anthony	2024/2/1
Context-Augmented Key Phrase Extraction from Short Texts for Cyber Threat Intelligence Tasks		Avishek Bose Huichen Yang Marissa Shivers Ahat Orazgeldiyev William H Hsu	2023/10/2
Learning representations for information mining from text corpora with applications to cyber threat intelligence		Avishek Bose	2023
Attention-Augmented Parametric Kernel Graph Neural Network (APKGNN) for Node Classification		Avishek Bose William H Hsu	2023/12/15
HPCGCN: A Predictive Framework on High Performance Computing Cluster Log Data Using Graph Convolutional Networks		Avishek Bose Huichen Yang William H Hsu Daniel Andresen	2021/12/15
Tracing Relevant Twitter Accounts Active in Cyber Threat Intelligence Domain by Exploiting Content and Structure of Twitter Network		Avishek Bose Shreya Gopal Sundari Vahid Behzadan William H. Hsu	2021/11/2
Developing an Automated Technique to Calibrate the AASHTOWare Pavement ME Design Software	Transportation Research Record	Shuvo Islam Avishek Bose Christopher A Jones Mustaque Hossain Cristopher I Vahl	2020/9
A novel approach for detection and ranking of trendy and emerging cyber threat events in Twitter streams		Avishek Bose Vahid Behzadan Carlos Aguirre William H Hsu	2019/8/27
A quantitative analysis of big data clustering algorithms for market segmentation in hospitality industry		Avishek Bose Arslan Munir Neda Shabani	2020/1/4
Abstractive Text Summarization of Disaster-Related Documents		Nasik Muhammad Nafi Avishek Bose Sarthak Khanal Doina Caragea William H Hsu	2020
Feature selection for learning to predict outcomes of compute cluster jobs with application to decision support		Adedolapo Okanlawon Huichen Yang Avishek Bose William Hsu Dan Andresen ...	2020/12/16