CV
Education
- Ph.D in Version Control Theory, GitHub University, 2018 (expected)
- M.S. in Jekyll, GitHub University, 2014
- B.S. in GitHub, GitHub University, 2012
Work experience
- Spring 2024: Academic Pages Collaborator
- GitHub University
- Duties includes: Updates and improvements to template
- Supervisor: The Users
- Fall 2015: Research Assistant
- GitHub University
- Duties included: Merging pull requests
- Supervisor: Professor Hub
- Summer 2015: Research Assistant
- GitHub University
- Duties included: Tagging issues
- Supervisor: Professor Git
Skills
- Skill 1
- Skill 2
- Sub-skill 2.1
- Sub-skill 2.2
- Sub-skill 2.3
- Skill 3
Publications
Automating Large-Scale Detection and Classification of Larger Than Life Cellular Automata Patterns
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
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).
Talks
Can Synthetic Data Replace the Real Thing? An Information-Theoretic Look at Data Fidelity
Talk at Department of Mathematics - Independent Study Series, California State University, Northridge, CA, USA
Evaluating Privacy & Utility of Synthetic Tabular Data with Membership Inference Attacks
Talk at 2025 IEEE International Conference on Future Machine Learning and Data Science (FMLDS), Los Angeles, CA, USA
BORACLE - Intelligent Algorithms (IA): AI-Driven Health & Performance Modeling from Wearable Devices
Poster at CSUN REU Site 2025 Workshop, California State University, Northridge, CA, USA
Analyzing Adversarial Robustness through the Geometry of Neural Representations
Talk at Cal-Bridge Fall Conference 2025, UC Irvine, Irvine, CA, USA
Adversarial Robustness and the Evolution of Latent Geometries in Neural Networks
Talk at Summer Research Conference at UC San Diego, UC San Diego, La Jolla, CA, USA
Sleep Stage Classification from Wearable Sensor Data: Toward Transparent and Accessible Health AI
Poster at SoCal AI Responsibility Summit, UC Los Angeles, Los Angeles, CA, USA
Predictive Energy Modeling for GPU Workloads: A Machine Learning Approach to Sustainable Data Centers
Invited Talk at Graduate Seminar Series, University of Idaho, Moscow, ID, USA
Machine learning-based Sleep Stage Classification Using Wearable Technology
Talk & Poster at 2025 CSUNposium, California State University, Northridge, CA, USA
BORACLE Intelligent Algorithms (IA): Advancements in Health Analytics & Risk Detection
Poster at 2024 CSUN REU Workshop, Northridge, CA, USA
Advancing the Study of Larger than Life Cellular Automata with Lua Scripting
Talk at Cal-Bridge 2024 Fall Conference, University of California, Irvine, CA, USA
Solving Nonlinear Differential Equations with Neural Networks
Talk & Poster at CSUN SfS2 First Annual Undergraduate Research Symposium, California State University, Northridge, CA, USA
Machine Learning-based Energy Prediction for Workload Management in Datacenters
Talk & Poster at CSUN SfS2 First Annual Undergraduate Research Symposium, California State University, Northridge, CA, USA
Teaching
Service and leadership
- Currently signed in to 43 different slack teams