Students Advised
PhD Students
- Hasitha Algewaththa
- Daniel Benz
- Tianchu Ji
- Smitha Kaje
Previous Students
PhD
- 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. Co-advised with Sangjin Hong. Thesis: High-Performance Partition Based Platform for Multiple Concurrent Applications
Masters Thesis
- 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
- Arnab Bhattacharya. 2020. Project: Streaming Permutations in High Bandwidth Memory
- Fedrik Durao. 2020. Project: Block Floating Point Accelerators for Machine Learning
- Vishal Goyal. 2020. Project: Programmable Accelerator for Natural Language Processing
- Prateek Jain. 2020. Project: Programmable Accelerator for Natural Language Processing
- Akash Arun. 2019. Project: Hardware Acceleration of Grouped Convolutional Neural Networks
- Tyler Lowe. 2019. Project: Low-Cost FPGA Accelerator for AlexNet
- Sankar Rachuru Nagendraprasad. 2019. Project: Hardware Acceleration of Grouped Convolutional Neural Networks
- Chaoming Tseng. 2018–2019. Project: Recurrent Neural Network Hardware
- Kewal Raul. 2018. Project: FPGA Hardware/Software Framework
- Atif Ahangar. 2017–2018. Project: Residual Learning in FPGA
- Zhaoqi Li. 2017–2018. Project: FPGA Quotient Filter
- Harman Singh Somal. 2016–2018. Project: FPGA Architectures for Flexible Edge Computing
- Tianchu Ji. 2016–2017. Project: Deep Learning Accelerators
- Andrew Javidfar. 2016–2017. Project: FPGA Spectrum Sensing
- Xuan Chen. 2016. Project: Residual Learning in Hardware
- Gunjan Shrivastava. 2016. Project: Deep Learning on Embedded Processors
- Pavan Vyas. 2016. Project: Generating Synthesizable Hardware from Temporal Logic Specifications
- Kam Hou U. 2015–2016. Project: Deep Learning on FPGA
- Qipeng Wei. 2015–2016. Project: Generating Hardware from Temporal Logic Formulas
- Yuhan Li and Zhenyu Xu. 2015. Project: FPGAs for Bioinformatic Processing
- Aniket Bhor. 2014. Project: Network checksum offload on FPGA.
- Manini Gunjal. 2014. Project: 2D Convolution on FPGA.
- Kaumudi Joshi. 2014. Project: Hardware-Software Interfaces on Zynq FPGA.
- Chavi Rastogi. 2014. Project: FPGA-Based Soft Processors.
- Pannaga Badarinarayan. 2013. Project: Data compression on FPGA.
- Jongmun Hwang. 2013. Project: Perceptron Update in Hardware.
- Deepali Kodagali. 2013. Project: Customized Floating Point Hardware Generation.
- Santhosh Rupanagudi. 2013. Project: Design-for-test Software Suite
- Alex Tkatchev. 2013. Project: TCP Network Stack
- Hantao Xu. 2013. Project: Scalable Cyclic Redundancy Check Hardware.
- Xiao Yu. 2013. Project: Memcached in Hardware.
Undergraduate Research
- Jinkyu Lee. Project: FPGA Acceleration for Roadside Object Detection. 2020, URECA Summer Program
- Xinqi Wang. Project: Deep Reinforcement Learning on FPGA. 2020, URECA Summer Program
- Alex Ahandour. BE Honors Program, 2019–2020. Project: Assessing Error Tolerance of Neural Network Hardware
- John Boccio. BE Honors Program, 2019–2020. Project: Inter-layer Data Dependencies in Deep Neural Network Accelerators
- Zhaoqi Li. BE Honors Program, 2016–2017. Stony Brook URECA Summer Research Program 2016. Project: FPGA Accelerators for Bioinformatic Processing.
- Bryant Gonzaga and Victor Tellez. 2016. Project: Time to Digital Conversion with FPGAs
- Garrett Bischof. 2012–2013. Project: FIR filter hardware.
Senior Design Projects
- Jinkyu Lee, Dong Yeon Woo, Xinqi Wang (2020–2021). Project: Enabling Real-Time Roadside Visual Object Detection Using FPGAs.
- Alexander Ahandour, Mariano Bello, Sabreen Mostafa, and Zhen Sin (William) Wong (2019¬–2020). Project: Approximate Neural Networks in FPGAs.
- John Boccio, Yi-Cheng Cheng, and Muhammad Hussain. 2019–2020. Project: Facial Expression Recognition System.
- Jacky Cham, Karsten Ma, and Kenneth Ng. 2018–2019. Project: FPGA-Based Smart Camera System with Facial Recognition.
- Ryan Mulhern, Rob Beatty, and Dennis San Lucas. 2018–2019. Project: Hardware-Accelerated Public-Key Cryptography for IoT Devices.
- Abir Hasan Amit and Md. Tamzid Rahman. 2017–2018. Project: Biometric Security System
- Bryant Gonzaga, Luciana Mueller, and Victor Tellez. 2017–2018. Project: Smart IoT Camera with Built-in Computer Vision Processing Accelerator. (Co-advised with Fan Ye)
- Matthew Horner. 2017–2018. Project: HW/SW System for Processing Automatic Dependent Surveillance Broadcast (ADS-B) Messages.
- Aarif Jahan and Yuriy Slashchev. 2017–2018. Project: Automated Encryption of USB Storage Devices.
- Hsiang-Ju Lai, Alex Lin, and Edward Wang. 2017–2018. Project: Cryptography Accelerator for IoT Devices.
- Brandon Conklin and Scott Kontak. 2016–2017. Project: Hardware/Software System for Sorting
- Zhaoqi Li. 2016–2017. Project: FPGA Quotient Filter
- Louis Mezzich and Chrisopher Rivera. 2016–2017. Project: Hardware/Software for AES Encryption/Decryption
- Joe Caracciolo, Dominick Fratto, and Anish Kanattu. 2015–2016. Project: Real-Time FPGA Audio Effects Processor
- Sean Healey and Steven Massaro. 2015–2016. Project: FPGA-Based Stereo Vision Depth Reconstruction
- Edward Gildersleeve, Valliappan Lakshmanan, Martin Phenix Nunlee, Nicole Pasquino, and Geoffery Ian Rippy. 2015–2016. Project: UAV for Forest Fire Detection
- Ying Shu Chen and Yuan Fang. 2014–2015. Project: Hash Computation on FPGA
- Shiwei Fang and Jian Zhang. 2014–2015. Project: HW/SW System for Processing 2D Lidar Signals
- Dianchen Jiang, Jianwei Qiu, Kam Hou U, Xuhao Yang, and Jing Yu. 2014–2015. Project: Convolutional Neural Network Hardware/Software for Written Digit Recognition
- Evan Berquist and Raymond Talusan. 2013–2014. Project: FPGA Camera Prototype
- Jin Huang, James Jr. Iannotto, and Limor Shokrianpour. 2013–2014. Project: FPGA Camera Prototype
- Xinkun Huang, Jian Yet Lee, Begum Mavruk, Vivek Nelanuthala, and Qi Zhang. 2013–2014. Project: A Brain-Like Microprocessor in an FPGA. (Co-advised with Alex Doboli.)
- James Huber. Senior Design Project, 2013. Project: 2D Interpolation in Hardware and Software
- Jeyhan Colon, Asheik Hussain, Chudi Nwasike, Wenjing Wang. Senior Design Project, 2012–2013. Project: FPGA-Based Scale-Invariant Feature Transform Keypoint Detection.
- Mike Dai. Senior Design Project, 2012–2013. Project: Stereo Vision on FPGA.