1: Faculty

Deliang Fan

Assistant Professor

Dr. Deliang Fan is currently an Assistant Professor in the School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ, USA. Before joining ASU in 2019, he was an assistant professor in Department of […]

2: Ph.D. students

Adnan Siraj Rakin

Ph.D. student since Fall 2017

Research Interest Security of Deep Learning Algorithms Adversarial Weight Attack and Defenses Adversarial Example Defenses Efficient implementation of Machine Learning Framework Computer Vision Bio: Adnan Siraj Rakin is a Ph.D. student at Arizona State University, […]

Li Yang

Ph.D. student since Spring 2019

Research Interest: Efficient and adaptive deep learning algorithm FPGA-based deep learning acceleration Hardware-aware algorithm optimization Bio:       Li Yang is currently a Ph.D. student at Arizona State University, advised by Dr. Deliang Fan.  Before that, […]

Amitesh Sridharan

Ph.D. student since Spring 2021

Amitesh is a phd student since Spring 2021. He is focusing on in-memory computing circuit and architecture.  

4:1: Alumni_PhD

Zhezhi He

Ph.D. awarded in Summer 2020, with thesis: Efficient and Secure Deep Learning Inference System, A Software and Hardware Co-Design Perspective; Now: Assistant Professor in Shanghai Jiaotong University; https://elliothe.github.io/

Assistant Professor, Shanghai Jiaotong University, Shanghai, China PhD thesis: Efficient and Secure Deep Learning Inference System, A Software and Hardware Co-Design Perspective Research website: https://elliothe.github.io/   Research Interest: Secure and efficient deep learning Brain-inspired neuromorphic […]

Shaahin Angizi

Ph.D. awarded in Spring 2021, with thesis: Processing-in-Memory for Data-Intensive Applications, From Device to Algorithm; Now: Assistant Professor in New Jersey Institute of Technology; https://www.shaahinangizi.com/

PhD thesis: Processing-in-Memory for Data-Intensive Applications, From Device to Algorithm Research website: https://www.shaahinangizi.com/   Shaahin_CV Research interest In-Memory Computing Based on Volatile & Non-Volatile Memories Accelerator Design for Deep Neural Networks, Bioinformatics, Graph Processing, etc. […]

4:2: Alumni_Master

Li Yang

Master degree awarded in 2018 Fall, with thesis: Exploring FPGA Implementation for Binarized Neural Network Inference; Now: PhD student at ASU

Master thesis title: Exploring FPGA Implementation for Binarized Neural Network Inference Master thesis demo

Kiju Kim

master degree awarded in 2021 Fall, with thesis: Accelerating Genome Quantification in FPGA

master degree awarded in 2021 Fall Master thesis: Accelerating Genome Quantification in FPGA Project Demo: