We always welcome exceptional and self-motivated students/scholars to join our group. 

We work at the intersection of several exciting theoretical topics (e.g., uncertainty quantification and tensor methods) and multi-domain applications (e.g., electronic and photonic design automation, machine learning, medical imaging, robotic and autonomous systems). Specific research projects include, but are not limited to:

  • Uncertainty-aware and data-driven methods for electronic and photonic design automation;

  • Tensor methods for the algorithm and VLSI hardware co-optimization of machine learning and big-data frameworks (in collaboration with Prof. Yuan Xie);

  • Verification, control and machine learning (e.g., reinforcement learning) for robotics and autonomous systems;

  • Big-data analysis and electromagnetic modeling for magnetic resonance imaging (MRI);

  • Risk analysis and management for computer architecture design (in collaboration with Prof. Tim Sherwood).

Science and engineering students with strong quantitative and math skills [or other skills related to one of the above specific projects (such as VLSI hardware accelerator design or MRI)] are highly encouraged to apply. Prior related research experience is preferred, but generally not required for graduate/undergraduate students. For a few specific research projects, we may prefer applicants with an applied or computational math background.

Below is the information for some openings:

  • Postdoc scholars/fellows. Research funding for postdoc scholars is uncertain at this moment. If you have external financial supports or postdoc fellowship (e.g., the CSC postdoc fellowship), you are encouraged to contact me by email.

  • PhD students. We may have full financial supports (RA, TA, fellowships) for one or two PhD students starting from Fall 2019. The financial situation may become clear in late 2018 or early 2019. If you are interested in joining our group, please submit an application online and indicate my full name in the application systems. We will have additional PhD openings for excellent students with external funding support (e.g., the CSC PhD fellowship).

  • Visiting students/scholars/professors. We welcome visiting students/scholars/professors to conduct collaborative research, and we prefer to host visitors who already have some research experience in a related field and who are really motivated for research. Visitors are expected to cover their cost by external funding. Interested applicants should contact me directly by email.

  • MSc or undergraduate researchers. We can schedule a meeting if you are studying at UCSB and if you are interested in working with my group.     

Examples of External Financial Supports and Fellowships: NSF Graduate Fellowship, DOE Graduate Fellowship, China Scholarship Council (中国国家留学基金委) Fellowship (for PhD students, postdocs and visiting scholars), Marie Curie Fellowship for EU citizens, financial supports from the visitors' own employers or institutions.

Contact me? I will be available to answer only a few emails. In your inquiry email, please indicate your interested research areas and briefly describe how much you know about those areas. For graduate applicants, the email title should be "Graduate Application 2019" + your full names. You are encouraged to contact me if you need my help on your application of external fellowship (e.g., NSF graduate fellowship or CSC fellowship). You are suggested to provide a link to (or PDF files of) the following documents in your email:

  • A full CV;

  • Academic transcripts;

  • Representative publications (if available);

  • A brief research statement (with one or two pages) describing your research plan (for visiting scholars and postdoc).

Do NOT ask me to evaluate the chance of admission regarding your case. Such an inquiry email will be deleted.

How will the PhD application cases be evaluated? Your online application case will be reviewed based on your education background, academic transcripts, research experience & outcomes, recommendation letters, research statement, etc. Personally, I do NOT care much about your GRE score (while other professors may care). An excellent research record, which is generally shown by good conference/journal publications, can make your case stand out.