Maksim E. Eren

Maksim E. Eren

Graduate Research Assistant

University of Maryland, Baltimore County

Biography

Maksim Eren is a graduate Computer Science student at the University of Maryland Baltimore County (UMBC) and a Scholarship for Service CyberCorps alumnus. He graduated Summa Cum Laude with a Computer Science Bachelors at UMBC in 2020. He has held multiple internships, which have ranged from incident response and software engineering at Montgomery County Government (MCGov), a research assistantship at CyberPacks, to a teaching assistantship at UMBC. At MCGov, Maksim investigated and responded to hundreds of cyber incidents, and has developed several dashboards and incident analysis tools for the security operations center. Currently, he is working as a graduate research assistant at Los Alamos National Laboratory (LANL) and at UMBC’s DREAM Lab.

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, and topic modeling and evolution of scientific articles. 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, and adversarial analysis of malware classifiers. 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, and contributed to the design of various other tensor decomposition libraries.

Interests

  • Machine Learning
  • Tensor Decompositions
  • Cybersecurity

Education

  • MS in Computer Science, 2022

    University of Maryland, Baltimore County (UMBC)

  • BS in Computer Science, 2020

    University of Maryland, Baltimore County (UMBC)

  • AA in Computer Science, 2018

    Montgomery College (MC)

Recent Publications

(2021). COVID-19 Multidimensional Kaggle Literature Organization. In ACM Symposium on Document Engineering 2021 (DocEng ’21), 2021.

DOI Preprint URL Preprint PDF Interactive Plot Details

(2021). Evading Malware Classifiers via Monte Carlo Mutant Feature Discovery. Presented at the 12th Annual Malware Technical Exchange Meeting, Online, 2021.

Preprint URL Preprint PDF Abstract Poster Code Details

(2021). Random Forest of Tensors (RFoT). Presented at the 12th Annual Malware Technical Exchange Meeting, Online, 2021.

Abstract Poster Details

(2020). Multi-Dimensional Anomalous Entity Detection via Poisson Tensor Factorization. In IEEE International Conference on Intelligence and Security Informatics (ISI), 2020.

DOI Preprint PDF Details

(2020). COVID-19 Kaggle Literature Organization. In ACM Symposium on Document Engineering 2020 (DocEng ’20), 2020.

DOI Preprint URL Preprint PDF Poster Code Interactive Plot Details

Software