Shengjun Kris Dong

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About Me

Shengjun Kris Dong is a Ph.D. graduate student researcher at UC Berkeley, advised by Prof. Sophia Yakun Shao and Prof. Christopher W. Fletcher. Kris's research interests lie in domain-specific acceleration and hardware-software co-design.

Kris's research work encompasses methodology and infrastructure, spanning from algorithm optimization to hardware design. Recently, she innovated an infrastructure to enable agile design flows for domain-specific accelerators: RoSÉ, a unified simulation platform that combines hardware and software, enabling pre-silicon, full-stack, closed-loop evaluation of robotic systems.

Prior to joining Berkeley, she worked as a Software Engineer at Tesla and a Product Manager at Amazon. She has 6+ years of programming experience through internships and projects involving hardware architecture design, full-stack software/system development, and heterogeneous systems evaluation, targeting embedded machine learning, and robotic applications.

Before her PhD, Kris received a dual Master's degree in Electrical Engineering and Computer Science from UC Berkeley; She also holds a Bachelor of Science in Mathematics, a Bachelor of Science in Computer Science, and a Bachelor of Business Administration in Finance from UMass Amherst.

Recent News

October 29, 2023

We organized a half-day tutorial on RoSÉ at MICRO!

August 14, 2023

I was granted with a EECS Departmental Ph.D. Fellowship by University of California, Berkeley!

June 19, 2023

We won the ISCA Distinguished Artifact Award! (BWRC News)

June 19, 2023

Our work was accepted by and was presented at ISCA!

Mar 24, 2023

I was featured on UC Berkeley EECS Department Medium!

Mar 10, 2022

Our work was accepted by and was presented at RoboARCH Workshop at IEEE MICRO!

Mar 10, 2022

Our work was presented at ILLIXR Consortium! (Additional info & Recording)

Journal and Conference Publications

ISCA

RoSÉ: A Hardware-Software Co-Simulation Infrastructure Enabling Pre-Silicon Full-Stack Robotics SoC Evaluation

ISCA Distinguished Artifact Award

ISCA '23: 50th Annual International Symposium on Computer Architecture

Dima Nikiforov, Kris Shengjun Dong, Chengyi Lux Zhang, Seah Kim, Borivoje Nikolic, Yakun Sophia Shao

R-AL

Certifiable Deep Learning for Reachability using a new Lipschitz Continuous Value Function

IEEE Robotics and Automation Letters

Jingqi Li, Donggun Lee, Jaewon Lee, Kris Shengjun Dong, Somayeh Sojoudi, Claire Tomlin

Under Review at R-AL

 

Workshop Publications

LAD 24

LLM-Aided Compilation for Tensor Accelerators

LAD '24: IEEE International Workshop on LLM-Aided Design

Charles Hong, Sahil Bhatia, Altan Haan, Kris Shengjun Dong, Dima Nikiforov, Alvin Cheung, Sophia Shao

MICRO 22

Design, Simulation, and Evaluation of Hardware for Full Stack Robotics Systems

MICRO '23:IEEE/ACM International Symposium on Microarchitecture

2nd RoboARCH Workshop, MICRO, IEEE, 2023.

Dima Nikiforov, Kris Shengjun Dong, Borivoje Nikolic, Yakun Sophia Shao.

MICRO 22

DryDock: A Co-Simulation Platform Enabling System-Level Pre-Silicon Evaluation of Robotics SoCs

MICRO '22: IEEE/ACM International Symposium on Microarchitecture

1st RoboARCH Workshop Presentation, MICRO, IEEE, 2023.

Dima Nikiforov, Kris Shengjun Dong, Borivoje Nikolic and Yakun Sophia Shao

 

Tutorials and Talks

MICRO 22

RoSÉ Tutorial

MICRO '23:IEEE/ACM International Symposium on Microarchitecture

Oral Presentation, MICRO, IEEE, 2023.

Dima Nikiforov, Kris Shengjun Dong, Borivoje Nikolic and Yakun Sophia Shao.

A Co-Simulation Platform Enabling System-Level Pre-Silicon Evaluation of Robotics SoCs

ILLIXR Consortium at University of Illinois at Urbana-Champaign

Oral Presentation, ILLIXR Consortium, University of Illinois at Urbana-Champaign, 2022.

Dima Nikiforov, Kris Shengjun Dong, Borivoje Nikolic and Yakun Sophia Shao.

Teaching

FHL

Lecturer

UC Berkeley EECS Department FHL Vive Center

Volunteered at UC Berkeley's Summer Campaign, Robot Open Autonomous Racing (ROAR) Academy. Job duty includes but is not limited to organizing and designing curriculum for students who want to learn entry-level skills about machine learning and embedded systems programming on edge devices.

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Mentoring

Mentor

I’ve had the privilege of working with some brilliant undergraduate students:

Minh Nguyen (Fall 2023 - Present): Undergraduate at UC Berkeley -> MS in EECS at UC Berkeley

Widyadewi Soedarmadji (Winter 2023 - Present): Undergraduate at UC Berkeley -> PhD in CS at Tsinghua University

Chun Deng (Jan 2023 - Winter 2023): Undergraduate at UC Berkeley -> PhD at University of Pennsylvania

Yuxin Jin (Summer 2024 - Present): Tsinghua University -> Visiting Researcher at UC Berkeley

Chenxi Wan (Summer 2024 - Present): University of Science and Technology of China -> Visiting Researcher at UC Berkeley

Volunteering

WOI

Tech Lead

Women of Isenberg Conference

I led a team of nine students and four advisors for the 8th- 9th Annual Women of Isenberg Conference, including virtual seminars and workshops, successfully raising $70,000 and maintaining brand identity through various promotional activities.

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Tesla_Career

Organizer

Tesla Career Day

I coordinated career fairs and networking events to promote company culture and career opportunities, mentored students, and engaged with local colleges and community organizations to build candidate pipelines.

Hacker413

Director

Hack(H)er413

I directed a team to organize hackathons with diverse workshops and panels, supporting a community of over 1300 women and non-binary individuals in technology.

ARPS

Organizer

VELA Program of Amherst Regional Middle School

At the VELA Program of Amherst Regional Middle School, I organized afterschool clubs, assisted with curriculum implementation and homework support, monitored student progress, and participated in weekly reflection sessions and program evaluation.