Scholar
Maksim E. Eren
Google Scholar ID: tPv0QZ8AAAAJ
Los Alamos National Laboratory
Citations & Impact
Citations
236
H-index
9
i10-index
9
Publications
20
Co-authors
24
list available
Publications
Resume (English only)
Academic Achievements
- Published a paper titled 'Tensor Train Low-rank Approximation (TT-LoRA): Democratizing AI with Accelerated LLMs' which won the Best Paper Award at the IEEE Conference on Machine Learning and Applications (ICMLA 2024).
Research Experience
- At LANL, Maksim was a member of the 2021 R&D 100 winning project SmartTensors AI, where he released 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.
Background
- An early career scientist in the Information Systems and Modeling (A-1) group at Los Alamos National Laboratory (LANL) and a LANL Center for National Security and International Studies (CNSIS) Fellow. He is an alumnus of the Scholarship for Service CyberCorps program. His research interests span an interdisciplinary set of topics in artificial intelligence (AI) and applied data science, particularly in addressing challenges across diverse domains, including biology and cybersecurity.
Miscellany
- Interests include: Artificial Intelligence, Data Science, Tensor Decomposition, Cybersecurity, Natural Language Processing, High Performance Computing, Knowledge Representation, Pattern Extraction.
