Hi there! I am Kris, a Ph.D. student in Computer Architecture，at UC Berkeley EECS department. I have the pleasure of being advised by Prof. Sophia Yakun Shao and Prof. Christopher W. Fletcher. Currently, I’m working as a PhD Research Intern, at Nvidia's Architecture Research Group.
My research focuses on ML for system and system for ML; I aimed to enable efficient AI on resource-constrained SoCs via domain-specific acceleration, heterogeneous SoC integration, and hardware-software co-design for cyber-physical systems. Recently, I have been exploring innovative methology for LLM-aided code optimization.
I enjoy contributing to open-source communities. I'm one of the main developers of RoSÉ, a unified simulation platform for pre-silicon, full-stack, closed-loop evaluation of robotic SoCs, as part of my work on agile design flows for domain-specific accelerators.
I'm excited to join Architecture Research Group at Nvidia as a PhD Research Intern!
Our work on Certifiable Deep Learning for Reachability using a new Lipschitz Continuous Value Function was accepted by IEEE RA-L'25!
Our work on LLM-Aided Compilation for Tensor Accelerators was accepted by IEEE LAD '24!
I'm excited to pass my Ph.D. preliminary exam at UC Berkeley!
We organized a half-day tutorial on RoSÉ at MICRO!
I was granted with a EECS Departmental Ph.D. Fellowship by University of California, Berkeley!
We won the ISCA Distinguished Artifact Award! (BWRC News)
Our work was accepted by and was presented at ISCA!
I was featured on UC Berkeley EECS Department Medium!
Our work was accepted by and was presented at RoboARCH Workshop at IEEE MICRO!
Our work was presented at ILLIXR Consortium! (Additional info & Recording)
Dima Nikiforov, Kris Shengjun Dong, Chengyi Lux Zhang, Seah Kim, Borivoje Nikolic, Yakun Sophia Shao
Jingqi Li, Donggun Lee, Jaewon Lee, Kris Shengjun Dong, Somayeh Sojoudi, Claire Tomlin
Kris Shengjun Dong, Dima Nikiforov, Widyadewi Soedarmadji, Minh Nguyen, Vikram Jain, Christopher Fletcher, Yakun Sophia Shao.
Charles Hong, Sahil Bhatia, Altan Haan, Kris Shengjun Dong, Dima Nikiforov, Alvin Cheung, Sophia Shao
2nd RoboARCH Workshop, MICRO, IEEE, 2023.
Dima Nikiforov, Kris Shengjun Dong, Borivoje Nikolic, Yakun Sophia Shao.
1st RoboARCH Workshop Presentation, MICRO, IEEE, 2022.
Dima Nikiforov, Kris Shengjun Dong, Borivoje Nikolic and Yakun Sophia Shao
Oral Presentation, MICRO, IEEE, 2023.
Dima Nikiforov, Kris Shengjun Dong, Borivoje Nikolic and Yakun Sophia Shao.
Oral Presentation, ILLIXR Consortium, University of Illinois at Urbana-Champaign, 2022.
Dima Nikiforov, Kris Shengjun Dong, Borivoje Nikolic and Yakun Sophia Shao.
May 2023 - Sep 2023
I led a new lecture series "Introduction to Embedded Systems and Edge ML" at UC Berkeley's Summer Campaign, Robot Open Autonomous Racing (ROAR) Academy. Job duty includes but is not limited to designing curriculum, and organizing the program and organized lab sections, introducing high school students to machine learning, robotic prototyping and embedded systems programming on edge devices.
May 2025 - Aug 2025
I’m working as a PhD Research Intern, at Nvidia's Architecture Research Group. In my internship project, I primarily focus on exploring methology innovation for LLM-aided GPU code optimization. I have the pleasure of working with Siva Hari, Sana Damani and Christos Kozyrakis as my mentors and team lead!
Dec 2021 - Dec 2022
At Tesla, I contributed to enabling vehicle remote control for long-distance tele-operation with confidential, unreleased features. Additionally, I optimized user flows for Tesla's human-machine interface by re-architecting the notification stack and enhancing the vehicle range analysis portal, improving efficiency and satisfaction for 3.6 million users.
Sep 2020 - Sep 2021
At Amazon, I initiated the "Alexa for Fulfillment Center" project, enabling Alexa to assist warehouse associates in completing tasks with appropriate instructions. Collaborating with Amazon’s Alexa (Speech) team, I defined project requirements to guide development and deployment efforts and conducted prototype evaluation using real-world data in diverse noisy warehouse environments.
Ph.D. in Electrical Engineering and Computer Sciences
2022 - 2027
Master in Electrical Engineering and Computer Sciences
2021 - 2022
Bachelor of Science in Computer Science
Bachelor of Science in Mathematics
Bachelor of Business Administration in Finance
2016 - 2020
Mentoring
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 Stanford University
Resources
Resources that helped me in my research journey, along with recent blog posts I’ve written or been featured in:
Advice for Incoming EECS Freshmen: Tips for EECS undergrad students on majors selection, and early career choices.
Interview featured by UC Berkeley EECS: A personal story about how I found my direction in research.
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.
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.
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.
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.