Students Advised
PhD Students
- Hasitha Algewaththa
- Daniel Benz
- Tianchu Ji
- Joseph Papa
Bachelor of Engineering Honors Thesis
- Shrujan Shashan Mutheboyina
Previous Students
PhD
- Mohammed Elbadry. 2018–2023. Thesis: Publish/Subscribe-Based Wireless Communication for Edge Environments. Co-advised with Fan Ye.
- Mallika Rathore. 2018–2021. Thesis: Exploring the Accuracy vs Energy Efficiency Trade-offs in Error-Aware Low Voltage DNN Accelerators. Co-advised with Emre Salman.
- Han Chen. 2013–2020. Thesis: Sorting Large Data Sets with FPGA-Accelerated Samplesort
- Qi Qi. 2013–2015. Thesis: High-Performance Partition Based Platform for Multiple Concurrent Applications. Co-advised with Sangjin Hong.
Masters Thesis
- Suyoung Choi. 2022–2023. Thesis: Spatial Dynamic Pruning of CNNs with Output Gating.
- Jun He. 2019. Thesis: A Flexible Hardware Accelerator Framework for Convolutional Neural Network Training.
- Maria Isabel Mera. 2013–2014. Thesis: Parallel and Flexible Hardware Implementation of Fletcher Checksum.
- Yujie Wu. 2012–2013. Thesis: Generation of Customized Time Domain FIR Filter Hardware.
Masters Projects
- 36 students advised on various 1-2 semester projects, mostly focused on FPGAs
Bachelor of Engineering Honors Thesis
- Jason Cheung, 2020–2022. Thesis: Exploring Block Floating Point Quantization and Sparsity in Transformers
- Alex Ahandour, 2019–2020. Thesis: Quantization and Error Insertion in Neural Networks
- John Boccio, 2019–2020. Thesis: Accelerating Convolutional Neural Networks Through Layer-Fusion
- Zhaoqi Li, 2016–2017. Thesis: Efficient K-mer Counting with Customized Hardware.
Undergraduate Research, Explorations in STEM Summer Program
- Jinkyu Lee, 2020. Project: FPGA Acceleration for Roadside Object Detection.
- Xinqi Wang, 2020. Project: Deep Reinforcement Learning on FPGA.
- Zhaoqi Li, 2016. Project: FPGA Accelerators for Bioinformatic Processing.
Senior Design Projects
- 71 students advised on 27 senior design projects, mostly related to FPGAs