Osita Ukwuaba

PhD, Electrical & Computer Engineering

Research: trustworthy neuromorphic computing; testing and reliability of spiking neural networks.

MS, Computer Science

Artificial intelligence, deep learning, healthcare analytics, and human–computer interaction.

B.Eng., Electronic Engineering

Research Assistant · Brain Lab

Developing testing and evaluation frameworks for spiking neural networks to improve the reliability, fault tolerance, and performance of neuromorphic systems.

Research Assistant · Design & Intelligence Laboratory

Researched social-agent mediated interaction in the NSF AI-ALOE Institute; developed ML models from learner interaction data and investigated cognitive approaches to human–agent understanding.

Timing Matters: Delay Fault Characterization and Testing in SNN Accelerators ↗

DOI: 10.1145/3787109.3815284

Resource-Optimized Testing of Spiking Neural Networks

Efficient approaches for evaluating the dependability of neuromorphic systems under hardware faults.

Fault-Aware Continual Learning in SNNs

Improving the reliability of spiking neural networks that learn continually in imperfect and changing environments.

AI Control and Evaluation

Evaluating practical approaches for dependable oversight and intervention in increasingly capable AI systems.

Comparative Evaluation of LLM Risk

BlueDot-funded project examining evaluation design and safety-benchmark limitations across bio, cyber, and chemical risk domains.

Co-Founder & Full-Stack Engineer

Led product development and delivered full-stack software and ML-enabled analytics systems.

Program Analyst & IT Director

Designed and delivered institutional information systems serving more than 5,000 users.

Technical AI Safety