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A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.

Posts

Future Blog Post

less than 1 minute read

Published: January 01, 2199

This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.

Blog Post number 4

less than 1 minute read

Published: August 14, 2015

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 3

less than 1 minute read

Published: August 14, 2014

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 2

less than 1 minute read

Published: August 14, 2013

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 1

less than 1 minute read

Published: August 14, 2012

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

portfolio

Portfolio item number 1

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Portfolio item number 2

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publications

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).

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).

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

Submitted to 2025 IEEE International Conference on Future Machine Learning and Data Science (FMLDS) , 2025

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

Evaluating Privacy and Utility of Synthetic Tabular Data with Membership Inference Attacks

Submitted to 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.

research

BORACLE - Intelligent Algorithms

ML-driven health prognostics using wearable sensor data. Leading a cross-disciplinary team to tackle sub-problems in stress, sleep, and physical activity monitoring.

Predictive Energy Modeling for GPU Workloads

ML-driven workload scheduling to reduce GPU energy consumption.

Discovery in Larger than Life Cellular Automata

Analyzing complex emergent behavior in Larger than Life cellular automata using Lua and Golly.

Physics-Informed Neural Networks

An empirical study of Physics-Informed Neural Networks (PINNs) for modeling the chaotic driven damped pendulum, comparing Kolmogorov-Arnold Networks (KANs), Multilayer Perceptrons (MLPs), and traditional numerical solvers.

Empirical Investigations of Synthetic Data - Privacy, Utility, and Fidelity

Evaluating the privacy and utility of synthetically generated data using membership inference attacks. Examining fidelity from an information-theoretic perspective.