Publications

Maksim E. Eren, Nicholas Solovyev, Ryan Barron, Manish Bhattarai, Ismael D. Boureima, Kim O. Rasmussen, Boian S. Alexandrov (2023). Sub-topic and Semantic Sub-structure Extraction via SPLIT: Joint Nonnegative Matrix Factorization (NMF) with Automatic Model Selection. Presented at the Conference on Data Analysis 2023 (CoDA 23'), Santa Fe, New Mexico. March 7-9, 2023.

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Maksim E. Eren, Manish Bhattarai, Nick Solovyev, Luke E. Richards, Roberto Yus, Charles Nicholas, Boian S. Alexandrov (2022). One-Shot Federated Group Collaborative Filtering. In IEEE Conference on Machine Learning and Applications (ICMLA 2022), 2022. Awarded Best M.S. Research at 2023 UMBC CSEE Research Day..

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Ismael Boureima, Manish Bhattarai, Maksim E. Eren, Nick Solovyev, Hristo Djidjev, Boian Alexandrov (2022). Distributed Out-of-Memory SVD on CPU/GPU Architectures. arXiv preprint. Accepted at IEEE HPEC Conference 2022 with Outstanding Paper Award.

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Maksim E. Eren, Nick Solovyev, Manish Bhattarai, Kim Rasmussen, Charles Nicholas, Boian S. Alexandrov (2022). SeNMFk-SPLIT: Large Corpora Topic Modeling by Semantic Non-negative Matrix Factorization with Automatic Model Selection. In ACM Symposium on Document Engineering 2022 (DocEng ’22), 2022.

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Prajna Bhandary, Colin Vieson, Auguste Kiendrebeogo, Iman Adetunji, Robert J. Joyce, Maksim E. Eren, Charles Nicholas (2022). Malware Antivirus Scan Pattern Mining via Tensor Decomposition. Presented at the 13th Annual Malware Technical Exchange Meeting, Online, 2022.

Abstract Poster Details

Ran Liu, Maksim E. Eren, Charles Nicholas (2022). Can Feature Engineering Help Quantum Machine Learning for Malware Detection?. Presented at the 13th Annual Malware Technical Exchange Meeting, Online, 2022.

Poster Details

Maksim E. Eren (2022). Random Forest of Tensors (RFoT) Master's Thesis. Master’s Thesis in Computer Science at the University of Maryland, Baltimore County Department of Computer Science and Electrical Engineering.

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Maksim E. Eren, Luke E. Richards, Manish Bhattarai, Roberto Yus, Charles Nicholas, Boian Alexandrov (2022). FedSPLIT: One-Shot Federated Recommendation System Based on Non-negative Joint Matrix Factorization and Knowledge Distillation. arXiv preprint.

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Ismael Boureima, Manish Bhattarai, Maksim E. Eren, Erik Skau, Philip Romero, Stephan Eidenbenz, Boian Alexandrov (2022). Distributed Out-of-Memory NMF of Dense and Sparse Data on CPU/GPU Architectures with Automatic Model Selection for Exascale Data. arXiv preprint.

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Maksim E. Eren, Juston S. Moore, Erik Skau, Elisabeth Moore, Manish Bhattarai, Gopinath Chennupati, Boian S. Alexandrov (2022). General-Purpose Unsupervised Cyber Anomaly Detection via Non-Negative Tensor Factorization. In ACM Digital Threats Research and Practice (DTRAP) Journal, 2022.

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Maksim E. Eren, Nick Solovyev, Chris Hamer, Renee McDonald, Boian S. Alexandrov, Charles Nicholas (2021). COVID-19 Multidimensional Kaggle Literature Organization. In ACM Symposium on Document Engineering 2021 (DocEng ’21), 2021.

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Maksim E. Eren, Charles Nicholas, Renee McDonald, Chris Hamer (2021). Random Forest of Tensors (RFoT). Presented at the 12th Annual Malware Technical Exchange Meeting, Online, 2021.

Abstract Poster Details

John Boutsikas, Maksim E. Eren, Charles Varga, Edward Raff, Cynthia Matuszek, Charles Nicholas (2021). Evading Malware Classifiers via Monte Carlo Mutant Feature Discovery. Presented at the 12th Annual Malware Technical Exchange Meeting, Online, 2021.

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Maksim E. Eren, Juston S. Moore, Boian S. Alexandrov (2020). Multi-Dimensional Anomalous Entity Detection via Poisson Tensor Factorization. In IEEE International Conference on Intelligence and Security Informatics (ISI), 2020.

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Maksim E. Eren, Nick Solovyev, Edward Raff, Charles Nicholas, Ben Johnson (2020). COVID-19 Kaggle Literature Organization. In ACM Symposium on Document Engineering 2020 (DocEng ’20), 2020.

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Enis Golaszewski, Alan T. Sherman, Linda Oliva, Peter A. H. Peterson, Michael R. Bailey, Scott Bohon, Cyrus Bonyadi, Casey Borror, Ryan Coleman, Johannah Flenner, Elias Enamorado, Maksim E. Eren, Mohammad Khan, Emmanuel Larbi, Kyle Marshall, William Morgan, Lauren Mundy, Gabriel Onana, Selma Gomez Orr, Lauren Parker, Caleb Pinkney, Mykah Rather, Jimmy Rodriguez, Bryan Solis, Wubnyonga Tete, Tsigereda B. Tsega, Edwin Valdez, Charles K. Varga, Brian Weber, Ryan Wnuk-Fink, Armand Yonkeu, Lindsay Zetlmeisl, Damian Doyle, Casey O'Brien, Joseph Roundy, Jack Suess (2020). Project-based learning continues to inspire cybersecurity students: the 2018--2019 SFS research studies at UMBC. In Association for Computing Machinery (ACM), 2020.

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