| Name | | Dissertation / Personal website |
| Caleb Donovick | PhD 2024 | Enabling agile hardware development with the PEak programming language |
| Qiaoyi Liu | PhD 2023 | Compiling applications to reconfigurable push-memory accelerators |
| Jeff Setter | PhD 2023 | Compiling image processing and machine learning applications to reconfigurable accelerators |
| Jake Ke | MS 2023 | |
| Ankita Nayak | PhD 2023 | Improving energy efficiency for CGRA architectures |
| Christopher Torng | Postdoctoral Scholar (2019-2022) | Personal website |
| Keyi Zhang | PhD 2022 | Source-level debugging for hardware generator frameworks |
| James Thomas | PhD 2022 | Developing FPGAs as an acceleration platform for data-intensive applications |
| Steven Herbst | PhD 2021 | An open-source framework for FPGA emulation of analog/mixed-signal integrated circuit designs |
| Dillon Huff | PhD 2021 | A polyhedral compiler for image processing hardware |
| Makai Mann | PhD 2021 | Augmenting transition systems for scalable symbolic model checking |
| Artem Vasilyev | PhD 2019 | Evaluating spatially programmable architecture for imaging and vision applications |
| Xuan Yang | PhD 2019 | A systematic framework to analyze the design space of DNN accelerators |
| Heonjae Ha | PhD 2018 | Understanding and improving the energy efficiency of DRAM |
| James Hegarty | PhD 2017 | Rigel: flexible multi-rate image processing hardware |