Dr. Deliang Fan
Research Interest: Energy Efficient and High Performance In-Memory Computing Circuit, Architecture and Algorithm Cross-Layer Software & Hardware Co-Design, with applications in Deep Neural Network, Data Encryption, Graph Processing, Bioinformatics, etc. Machine Learning Circuit and System […]
Ph.D. student since Spring 2019. Li will join University of North Carolina at Charlotte as a Tenure-Track Assistant Professor in Fall 2023
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, […]
Ph.D. student since Summer 2020
Research Interests: In-memory computing circuits and architecture
Ph.D. student since Spring 2021
Amitesh is a phd student since Spring 2021. He is focusing on in-memory computing circuit and architecture.
Ph.D. student since Fall 2022
phd student starting from Fall 2022 he is working on AI algorithm
undergraduate group
This undergraduate student group is supervised by Dr. Fan working in hardware-software co-design for compact and efficient deep learning computing in mobile device Group member: James Shaffer, Tejas Kumar, Desarael Black, David Perez
undergraduate group
This undergraduate student group is supervised by Dr. Fan working in Embedded Neural Network for Drones Group member: Shawn Hutchison, Adan Partida, Zachery Garibay, Cody Hutchison
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 […]
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. […]
Ph.D. degree awarded in summer 2022 with thesis: Exploration of Security and Privacy Challenges through Adversarial Weight Perturbation in Deep Learning Models. Now: Assistant Professor of SUNY Binghamton; https://www.adnansirajrakin.com/
Bio: Adnan Siraj Rakin is now an Assistant Professor in the Department of Computer Science at Binghamton University (SUNY). Previously, he completed Ph.D. in Computer Engineering at Arizona State University (ASU), advised by Dr. Deliang […]
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
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:
