Biography
Dr. Amina Zhao is a leading expert in bio-inspired systems and evolutionary computing. With a PhD in Bio-Inspired Computing from MIT, she specializes in developing AI systems that mimic biological adaptation and evolutionary processes.
Her work pioneers adaptive algorithms that self-optimize in response to environmental changes, achieving breakthroughs in autonomous systems. Dr. Zhao has published over 35 peer-reviewed papers and leads several DARPA-funded research initiatives in evolutionary AI.
Research Focus
Evolutionary Optimization
Developing genetic algorithms that evolve neural network architectures through multi-objective optimization and adaptive selection mechanisms.
Neural Plasticity
Researching brain-inspired learning paradigms that enable neural networks to dynamically reconfigure synapse weights in response to changing input patterns.
Featured Publications
"Adaptive Evolution in Neuromorphic Systems"
IEEE Transactions on Evolutionary Computing, Vol. 18 (2024)
This research demonstrates evolutionary algorithms that self-adapt in real-time, achieving 89% optimization efficiency across 12 different synthetic benchmark problem sets.
Read more"Neural Plasticity for Autonomous Systems"
Nature Machine Intelligence, Vol. 6 (2023)
This work presents a novel synaptic adaptation framework that improves robotic navigation performance by 72% in dynamically changing environments.
Read moreGet in Touch
Office Location
BioAI Research Labs, Cambridge, MA
amina.zhao@neuronexus.org