The Cake Lab

About Us

Hello! Welcome to The Cake Lab. We are a research group from the Department of Computer Science at Worcester Polytechnic Institute. Our group focuses on systems, networking, and security. For examples, some of our ongoing projects involve optimizing the performance and security of critical and emerging systems, including distributed systems, cloud and mobile applications, and embedded systems.

Our work is generously supported by the National Science Foundation, Office of Naval Research, Google Cloud, and the Google Open Source Security Team (GOSST).


(ordered alphabetically)

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Tian Guo

Associate Professor

Craig Shue


Craig Wills


Robert Walls

Associate Professor

Affiliated Faculty

Mark Claypool


Lorenzo De Carli

Assistant Professor

Dan Dougherty


PhD Students

Sirshendu Ganguly

IoT and cloud security

Guin Gilman

GPU and systems performance

Shijian Li

Distributed training

Tongwei Ren

IoT and cloud security

Yiqin Zhao

Mobile augmented reality

Yiyang Zhao

Neural architecture search

Ashkan Ganj

Applied vision and augmented reality

Adam Beauchaine

Shuwen Liu

Graduate Students

Shradha Neupane

Software ecosystem security

Selected Publications

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Holistic Control-Flow Protection on Real-Time Embedded Systems with Kage

Yufei Du, Zhuojia Shen, Komail Dharsee, Jie Zhou, Robert J. Walls, John Criswell

USENIX Security Symposium 2022


Can the User Help? Leveraging User Actions for Network Profiling

Zorigtbaatar Chuluundorj, Curtis Taylor, Robert J. Walls, Craig Shue

International Conference on Software Defined Systems (SDS'21)


Characterizing Concurrency Mechanisms for NVIDIA GPUs under Deep Learning Workloads

Guin Gilman, Robert J. Walls

39th International Symposium on Computer Performance, Modeling, Measurements and Evaluation (Performance'21)


Memory-Efficient Deep Learning Inference in Trusted Execution Environments

Jean-Baptiste Truong, William Gallagher, Tian Guo, Robert J. Walls

9th IEEE International Conference on Cloud Engineering (IC2E)


Many Models at the Edge: Characterizing andImproving Deep Inference via Model-Level Caching

Samuel S. Ogden, Guin R. Gilman, Robert J. Walls, Tian Guo

International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS'21)


Xihe: A 3D Vision-based Lighting Estimation Framework for Mobile Augmented Reality

Yiqin Zhao, Tian Guo

The 19th ACM International Conference on Mobile Systems, Applications, and Services (MobiSys'21)