The CEITRES@UCR (IRES) program supported a cohort of four UCR students for the summer of 2021.

The cohort consisted of ten undergraduate students, among them seven students finish the whole programs (training plus the summer program)

• Ainaz Estiri (female) is first year Computer Science student
• Cuong (Chris) Thi is the third year Computer Engineering student
• Isabella Santiago (female) is third year Computer Science student
• Karsten Fields is second year Computer Science student
• Ruby Franco Martinez (female) is the first year computer science student
• Srikar Voleti is second year Computer Science student
• Thomas Henningson is the third year Computer Science student

Three students quitted in the middle of this whole program due to various reasons

• Ben Won Koo 4th year electrical engineering student
• Arya Farmarzi is third year computer science student
• Audrey Kim (female) is first year computer engineering student

All the students first went through the 3 month training by auditing the EE260 (Hardware Design For Machine Learning) in the Spring 2021. They all also enrolled in the EE190 (special study) in Spring 2020 as part of training process. Then seven  students spent 10 weeks in the summer working on the different research topics.  Due to the covid-19 pandemic impacts and travel restriction, all the IRES students work remotely from home for the summer 2021. 

Collaborative research work:

During the program, the students conducted cutting edge research in applying machine learning to solve several problems in VLSI design automation with focus on the reliability and thermal related issues in VLSI design. Namely, the students helped with the ongoing development of a machine learning based thermal modeling scheme that can be used for post-silicon thermal characterization of commercial high-performance microprocessors. With the aforementioned thermal model, the students further aided in the development of a dynamic thermal/power control scheme by exploiting the dynamic-voltage-and-frequency-scaling control knobs that are available in Intel core processors. Additionally, the students explored GPU based brain-inspired hyperdimentional computing for classification task. 

Social and career development:

Due to the impacts of covid-19 pandemic,  the social activities in the 2020 program is limited. Students mainly participated in the Zoom meetings and also remotely worked with Senior  PhD students in VSCLAB during the summer 2021.