Welcome to the BIASLab website!
We are a research group in the Donald Bren School of Information and Computer Sciences at the University of California, Irvine. Our group focuses on a wide range of practical problems in the areas of bio-inspired computing, machine learning, computer architecture, and embedded systems. Our research goal is to design real-time, robust, secure cognitive computing systems.
Current projects include those in Hyper-Dimensional Computing, Energy-Efficient Distributed Systems, Reinforcement Learning, Vector Symbolic Architecture, Neuromorphic Computing, and applications in Security and Privacy.
- Brain-Inspired Computing
- Privacy and Security
- Edge Computing
- Big Data
- Circuit/Architecture: Design novel memory circuits and architectures to accelerate machine learning and big data applications. A candidate should have a strong background in circuit design and have a deep understanding of computer architecture and emerging memory technologies. Specifically, student will work on a project related to in-memory computing.
- Cryptography & Security: Develop theory and algorithms for lightweight cryptography for secure machine learning or/and secure computing. A suitable candidate should have good understanding of Homomorphic Encryption mathematics and AI theory and should be familiar with cryptography tools.
- Quantum Computing: Designing new quantum algorithms for machine learning. A candidate should be expert in quantum mathematics and algorithm and have experience of using Quantum tools.
Our latest news!
September 2023: Six new PhD students are joining our team in the Fall!
September 2023: PI Dr. Imani received the prestigious SRC Young Faculty Award!
August 2023: PI Dr. Imani received the prestigious DARPA Young Faculty Award!
August 2023: Our FPL 2023 paper received the best paper nomination award!
July 2023: Our special session has been accepted to ICCAD 2023! Thanks to Intel support!
July 2023: Three papers accepted in ICCAD 2023!
March 2023: Four papers accepted in GLSVLSI 2023 conference!
March 2023: A collaborative paper accepted in Advanced Artificial Intelligence Journal!
Feb 2023: Three papers accepted in the DAC 2023 conference!
Jan 2023: Three paper accepted in GOMACTECH 2023!
Dec 2022: Six papers accepted in the DATE 2023 conference!
Aug 2022: Two papers accepted in the ICCD 2022 conference!
July 2022: Four papers accepted in ICCAD 2022 conference! Congratulation to students, Yang, Hanning, Mariam!
Jun 2022: Our EventHD paper is accepted in Frontiers in Neuroscience. Special thanks to our Intel collaboration!
Jun 2022: Our special session in ESWEEK conference got accepted!
May 2022: Our paper accepted in Scientific Report!
April 2022: PhD Student, Mariam, received the NSF Graduate Research Fellowship Award! Congratulation Mariam!
March 2022: Our BioHD paper is accepted in ISCA 2022! Congratulation to my PhD students Kevin and Hanning!
Jan 2022: Five papers are accepted in DAC 2022! Congratulation to students, Hanning, Ali, and Yang, Mariam, and Danny!
Jan 2022: Our DATE 2022 paper received the best paper award!Congratulation to PhD student, Yang Ni!
Jan 2022: Our GrapHD paper accepted in Frontiers in Neuroscience!
Jan 2022: Our DATE 2022 paper nominated for the best paper award!
Jan 2022: Two papers accepted in DATE 2022 conference!
Nov 2021: Two papers accepted in DATE 2022. Congratulation to PhD student, Yang Ni!
Oct 2021: Accepted paper in Journal of Manufacturing Processes (Link)! Collaboration with UConn!
Oct 2021: Accepted paper in PACT 2021.
Sept 2021: Accepted paper in IEDM 2021. Hyper-Dimensional Clustering on Fabricated NVM-based Chip. Collaboration with RIT!
April 2021: Accepted paper in SC’21! Collaboration with Intel Labs.
April 2021: 3 papers accepted in ICCAD’21! collaboration with Intel Labs.
Feb 2021: 5 papers accepted in DAC 2021! Collaborative paper with Intel Lab.
Nov 2020: 8 papers accepted in DATE 2021 conference: 5 papers as the main PI and 3 collaborative work.
Nov 2020: A paper accepted in HPCA 2021 conference! The first end-to-end system running brain-inspired Hyperdimensional computing.
Oct 2020: A paper accepted in IEDM 2020 conference! Experimental chip using emerging non-volatile memories.
Sept 2020: Two papers accepted in ASP-DAC 2021!
Sept 2020: Our ICCAD 2020 paper nominated for the best paper award!
August 2020: A paper accepted in MICRO 2020!
July 2020: Two papers accepted in ICCAD 2020!
July 2020: A paper accepted in ISLPED 2020!
July 2020: Our DATE 2020 paper nominated for the best paper award!
July 2020: Our DAC 2020 paper nominated for the best paper award!