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Ph.D. Dissertation: Dependable digital spiking neuromorphic hardware: detection, hardening, and their cost
Graduated: August 2026 (co-advised)
Current Position: Marvell Semiconductor
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Ph.D. Dissertation: Optimizing neuromorphic hardware with co-design for power and performance gains
Graduated: December 2025
Current Position: Post-doctoral Researcher, Pacific Northwest National Laboratory (PNNL)
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Ph.D. Dissertation: Deployment of Spiking Neural Networks on Multi-Node Neuromorphic Systems with Integrated Error Detection and Isolation
Graduated: September 2025 (co-advised)
Current Position: Senior GPU Architect, Nvidia
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Ph.D. Dissertation: Verification of Neuromorphic Computing Hardware Using Machine Learning
Graduated: July 2025 (co-advised)
Current Position: National Institutes of Health (NIH)
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Ph.D. Dissertation: On-chip Interconnects and Compiler Techniques for Efficient Neuromorphic Computing
Graduated: May 2025
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Ph.D. Dissertation: Reducing Data Communication Bottlenecks in Current and Emerging Computing Systems
Graduated: May 2025
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Ph.D. Dissertation: Brain Inspired Learning of Dynamical Systems
Graduated: August 2024
Current Position: Post-doctoral Researcher, Oak Ridge National Laboratory (ORNL)
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Ph.D. Dissertation: Hardware-Software Co-design for Neuromorphic Computing
Graduated: June 2022
Current Position: Post-doctoral Researcher, Argonne National Laboratory
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Ph.D. Dissertation: Design methodologies for reliable and high performance non volatile memories (NVMs) systems
Graduated: December 2021
Current Position: Senior GPU Architect, Nvidia