Theo dõi
Methun Kamruzzaman
Methun Kamruzzaman
Sandia National Laboratories
Email được xác minh tại sandia.gov - Trang chủ
Tiêu đề
Trích dẫn bởi
Trích dẫn bởi
Năm
Privacy-first health research with federated learning
A Sadilek, L Liu, D Nguyen, M Kamruzzaman, S Serghiou, B Rader, ...
NPJ digital medicine 4 (1), 132, 2021
1292021
Hyppo-X: A scalable exploratory framework for analyzing complex phenomics data
M Kamruzzaman, A Kalyanaraman, B Krishnamoorthy, S Hey, ...
IEEE/ACM transactions on computational biology and bioinformatics 18 (4 …, 2019
23*2019
Interesting paths in the mapper complex
A Kalyanaraman, M Kamruzzaman, B Krishnamoorthy
Journal of Computational Geometry (Old Web Site) 10 (1), 500–531-500–531, 2019
13*2019
Detecting divergent subpopulations in phenomics data using interesting flares
M Kamruzzaman, A Kalyanaraman, B Krishnamoorthy
Proceedings of the 2018 ACM International Conference on Bioinformatics …, 2018
132018
Pheno-Mapper: an interactive toolbox for the visual exploration of phenomics data
Y Zhou, M Kamruzzaman, P Schnable, B Krishnamoorthy, ...
Proceedings of the 12th ACM International Conference on Bioinformatics …, 2021
112021
A visual analytics framework for analysis of patient trajectories
KF Madhobi, M Kamruzzaman, A Kalyanaraman, E Lofgren, R Moehring, ...
Proceedings of the 10th ACM International Conference on Bioinformatics …, 2019
62019
Using spectral characterization to identify healthcare-associated infection (HAI) patients for clinical contact precaution
J Cui, S Cho, M Kamruzzaman, M Bielskas, A Vullikanti, BA Prakash
Scientific Reports 13 (1), 16197, 2023
52023
Privacy-First Health Research with Federated Learning.” npj Digital Medicine 4: 132
A Sadilek, L Liu, D Nguyen, M Kamruzzaman, S Serghiou, B Rader, ...
42021
Detecting Sources of Healthcare Associated Infections
H Jang, A Fu, J Cui, M Kamruzzaman, BA Prakash, A Vullikanti, ...
Conference on Artificial Intelligence, 2023
32023
Characterizing the role of environment on phenotypic traits using topological data analysis
M Kamruzzaman, A Kalyanaraman, B Krishnamoorthy
Proceedings of the 7th ACM International Conference on Bioinformatics …, 2016
32016
GenAI based digital twins aided data augmentation increases accuracy in real-time cokurtosis based anomaly detection of wearable data
M Kamruzzaman, J Salinas, H Kolla, K Sale, U Balakrishnan, K Poorey
Research Square, 2024
22024
Topological data analysis for computational phenomics: algorithms and applications
M Kamruzzaman
Washington State University, 2020
22020
173. Deciphering COVID-19-Associated Effects on Hospital MRSA Transmission and Social Networks
G Madden, M Bielskas, M Kamruzzaman, P Bhattacharya, B Lewis, ...
Open Forum Infectious Diseases 8 (Supplement_1), S104-S106, 2021
12021
P2MAT: A machine learning (ML) driven software for Property Prediction of MATerial
M Kamruzzaman, A Landera, NC Menon, MD Allendorf, K Poorey
2024
Polarized and unpolarized gluon PDFs: generative machine learning applications for lattice QCD matrix elements at short distance and large momentum
TA Chowdhury, T Izubuchi, M Kamruzzaman, N Karthik, T Khan, T Liu, ...
arXiv preprint arXiv:2409.17234, 2024
2024
Improving Risk Prediction of Methicillin-Resistant Staphylococcus aureus Using Machine Learning Methods With Network Features: Retrospective Development Study
M Kamruzzaman, J Heavey, A Song, M Bielskas, P Bhattacharya, ...
JMIR AI 3 (1), e48067, 2024
2024
Navigating the COVID-19 Data Landscape: Automated Hypothesis Generation using Topological Data Analysis
M Kamruzzaman, M Bielskas, B Krishnamoorthy, A Marathe, A Vullikanti, ...
2021
Computationally-Aided and Polyketide Synthase-Based Controlled Synthesis of Polycyclopropanated Fuel Molecules
K Yin, A Landera, N Lee, AT Iavarone, TD Young, K Deng, Y Chen, ...
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