Conduct research on energy-efficient and trustworthy AI hardware using neuromorphic and in-memory computing. Design, implement, and validate accelerator prototypes, algorithms, architectures, and hardware-software co-design methods. Characterize emerging memory devices, integrate FPGA-based systems, publish research, mentor students, collaborate with academic and industry partners, and support technical reporting, proposals, and dissemination.