Brandon S. Ismalej

Brandon S. Ismalej

He/Him

Pre-doctoral student and researcher studing computer science and data science.

Publications

Published Papers

Stress Detection Through Sleep-Based Physiological Signals: An Integrated Semi-Supervised and Supervised Approach

Published in 2026 IEEE 16th Annual Computing and Communication Workshop and Conference (CCWC) , 2026

An ML-based approach to forecast stress from sleep pattern data gathered from wearable devices.

Recommended citation: J. Prayoonpruk, M. Kozlov, B. Ismalej, A. Neelam, X. Jiang, N. Ho, “Stress Detection Through Sleep-Based Physiological Signals: An Integrated Semi-Supervised and Supervised Learning Approach”. 2026 IEEE 16th Annual Computing and Communication Workshop and Conference (CCWC), Jan 5-7, 2026, Las Vegas, NV, US
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Evaluating Privacy and Utility of Synthetic Tabular Data with Membership Inference Attacks

Published in 2025 IEEE International Conference on Future Machine Learning and Data Science (FMLDS) , 2025

An empirical evaluation of privacy-utility tradeoffs of synthetic tabular data, using CTGAN, TVAE, and GaussianCopula.

Recommended citation: B. Ismalej, X. Ruan, X. Jiang, “Evaluating Privacy and Utility of Synthetic Tabular Data with Membership Inference Attacks”. 2025 IEEE International Conference on Future Machine Learning and Data Science (FMLDS), Nov 2-5, 2025
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Automating Large-Scale Detection and Classification of Larger Than Life Cellular Automata Patterns

Published in 2025 IEEE 15th Annual Computing and Communication Workshop and Conference (CCWC) , 2025

An automated approach in Lua to simullate, search, and classify dynamical pattern of Larger than Life cellular automata with the Golly software.

Recommended citation: B. Ismalej and K. M. Evans. (2025). "Automating Large-Scale Detection and Classification of Larger Than Life Cellular Automata Patterns." IEEE Computing and Communication Workshop and Conference (CCWC).

Machine Learning-Based GPU Energy Prediction for Workload Management in Datacenters

Published in 2025 IEEE 15th Annual Computing and Communication Workshop and Conference (CCWC) , 2025

A machine learning approach to predict GPU power usage and improve workload scheduling.

Recommended citation: B. Ismalej, M. Smith, and X. Jiang. (2025). "Machine Learning-Based GPU Energy Prediction for Workload Management in Datacenters." IEEE Computing and Communication Workshop and Conference (CCWC).