Sagnik Nath

Sagnik Nath is an Assistant Teaching Professor in the Department of Computer Science and Engineering at the University of California, Santa Cruz (UCSC). His work focuses on bridging equity gaps in STEM education through inclusive pedagogy and outreach programs targeting underrepresented student populations. He specializes in Computer Architecture, VLSI Design, and developing methodologies for equitable access to high-impact CS courses.

Dr. Nath teaches core CSE courses including CSE 12, CSE 100, CSE 120, CSE 122, and CSE 222A. His research emphasizes both technical innovations (e.g., SFQ circuit design automation) and educational equity strategies, such as the ITL framework and inquiry-based learning approaches. He actively engages in community college transfer initiatives to support student transitions to four-year institutions.

In technical domains, his publications address advanced circuit design challenges in VLSI and superconducting RFQ (SFQ) technologies. His educational research explores AI tutor efficacy (e.g., ChatGPT in CS education) and pedagogical tools like notional machine approaches for assembly language instruction.

No scientific awards are explicitly listed in the provided materials. His advising and grant activities remain unspecified, though his teaching and outreach efforts suggest involvement in educational grant programs. No dedicated labs or teams are mentioned, though collaborations with UCSC's Teaching & Learning Center are implied through his affiliation.