Ph.D. Presentations

Events for May 29, 2026

Events Search and Views Navigation

Event Views Navigation

Filters

Changing any of the form inputs will cause the list of events to refresh with the filtered results.

Today

Abstract digital illustration featuring gears and interconnected technology elements.

Zhou, K. (CSE) – Toward Safer Frontier AI: From Evaluation and Red-Teaming to Alignment and Oversight

Virtual Event

This dissertation investigates how to make modern AI systems safer as they grow more capable. It addresses two central sources of risk: malicious misuse, in which adversarial users coerce models into harmful behavior, and internal misalignment, in which models themselves pursue goals that diverge from human intent through deception, sandbagging, or other covert behaviors. The […]

Abstract digital illustration featuring gears and interconnected technology elements.

Qureshi, A. (ECE) – ISoC: A Universal Impedance Spectroscopy Instrument-on-Chip in SKY130 130 nm CMOS

Virtual Event

Electrochemical impedance spectroscopy (EIS) is the workhorse measurement behind lithium-ion battery diagnostics, biosensing, and corrosion science — yet no integrated circuit has ever delivered the complete capability of a benchtop analyzer on a single die. This dissertation presents ISoC, the first universal Impedance Spectroscopy instrument-on-chip. Designed in SkyWater 130 nm CMOS process, ISoC supports all […]

Abstract digital illustration featuring gears and interconnected technology elements.

Zhu, R. (ECE) – From Neuromorphic Principles to Efficient Neural Language Architectures

Engineering 2 Engineering 2 1156 High Street, Santa Cruz
Hybrid Event

This dissertation investigates how neuromorphic and brain-inspired principles can guide the design of efficient neural language architectures. It addresses two central limitations of modern Transformer-based language models: memory growth with context length and high computational cost from dense matrix multiplication. Through studies of spiking neural networks, linear-recurrent language models, hybrid attention architectures, MatMul-free models, and […]