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Learning Machine
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Learning Machine

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@lanl @UMBC-DREAM-Lab
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MaksimEkin/README.md

Maksim E. Eren is an early career scientist in A-4, Los Alamos National Laboratory (LANL) Advanced Research in Cyber Systems division. He graduated Summa Cum Laude with a Computer Science Bachelor’s at University of Maryland Baltimore County (UMBC) in 2020 and Master’s in 2022. He is currently pursuing his Ph.D. at UMBC's DREAM Lab, and he is a Scholarship for Service CyberCorps alumnus. His interdisciplinary research interests lie at the intersection of machine learning and cybersecurity, with a concentration in tensor decomposition. His tensor decomposition-based research projects include large-scale malware detection and characterization, cyber anomaly detection, data privacy, text mining, Large Language Models, Knowladge Graphs, and High Performance Computing. Maksim has developed and published state-of-the-art solutions in anomaly detection and malware characterization. He has also worked on various other machine learning research projects such as detecting malicious hidden code, adversarial analysis of malware classifiers, and federated learning. At LANL, Maksim was a member of the 2021 R&D 100 winning project SmartTensors, where he has released a fast tensor decomposition and anomaly detection software, contributed to the design and development of various other tensor decomposition libraries, and developed state-of-the-art text mining tools.

Pinned

  1. lanl/T-ELF lanl/T-ELF Public

    Tensor Extraction of Latent Features (T-ELF). Within T-ELF's arsenal are non-negative matrix and tensor factorization solutions, equipped with automatic model determination (also known as the estim…

    Python 6 1

  2. lanl/pyCP_APR lanl/pyCP_APR Public

    CP-APR Tensor Decomposition with PyTorch backend. pyCP_APR can perform non-negative Poisson Tensor Factorization on GPU, and includes an interface for anomaly detection using the extracted latent p…

    Python 10 6

  3. COVID19-Literature-Clustering COVID19-Literature-Clustering Public

    An approach to document exploration using Machine Learning. Let's cluster similar research articles together to make it easier for health professionals and researchers to find relevant research art…

    HTML 93 55

  4. lanl/pyDNMFk lanl/pyDNMFk Public

    Python Distributed Non Negative Matrix Factorization with custom clustering

    Python 18 5

  5. lanl/pyQBTNs lanl/pyQBTNs Public

    Python Quantum Boolean Tensor Networks

    Python 6 1

  6. RFoT RFoT Public

    Random Forest of Tensors (RFoT) is a tensor decomposition based ensemble semi-supervised classifier.

    Python 1 1