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  • Day: February 19, 2021

    CS Dept. Lecture: Hongyu An, ECE, Friday, March 5

    The Department of Computer Science will present a lecture by Assistant Professor Hongyu An, ECE, on Friday, March 5, 2021, at 3:00 p.m.

    An’s lecture is titled, “Designing an Energy-Efficient Neuromorphic System through Two-Layer Memristive Synapses.”

    An will introduce Brain-inspired Computing, an emerging approach for an energy-efficient artificial intelligent system through hardware and software co-design.

    Join the virtual lecture here.

    Lecture Title

    Designing an Energy-Efficient Neuromorphic System through Two-Layer Memristive Synapses

    Lecture Abstract

    Recently, deep learning is suffering from the excessive-high power consumption issue, which cannot be resolved alone by software/algorithm optimization. In this talk, An will introduce an emerging concept named Brain-inspired Computing, which is an emerging approach for an energy-efficient artificial intelligent system through hardware and software co-design.

    More specifically, An will introduce and discuss applying Three-dimensional Integrated Circuits (3D-ICs), Spiking Neural Networks (SNNs), and memristors to achieving a high-speed and energy-efficient system with the smallest design area. Our memristive synapses are utilized for storing the exported weights of the SNNs that have threshold function as the activation function. The simulation results demonstrate the significant improvement of memristive synapses on design area, power consumption, and latency.

    Speaker Bio

    Hongyu An is an assistant professor in the Department of Electrical and Computer Engineering at Michigan Technological University. He obtained his doctoral degree in electrical engineering at Virginia Tech. He received an M.S. degree and B.S. in electrical engineering at Missouri University of Science and Technology and Shenyang University of Technology, respectively.

    He is the recipient of the 2021 Bill and LaRue Blackwell Graduate Research Ph.D. Dissertation/Paper Award and he was a DAC Young Fellow in 2020. His research areas include neuromorphic computing, energy-efficient neuromorphic electronic circuit design for Artificial Intelligence, spiking neural networks, and machine learning for medical applications.

    An is a member of the Institute of Computing and Cybersystems’s (ICC) Center for Scalable Architectures and Systems (SAS).


    Info Sessions for CyberCorps Scholarship Are March 22, March 30

    An exciting scholarship opportunity has been announced for Michigan Tech students who wish to pursue cybersecurity-related degrees and work for government agencies after graduation.

    Two informational sessions will be presented, on March 22 and March 30, to help students complete the application process for the CyberCorps: Scholarship for Service (SFS) Program.

    Both sessions will provide the same information. Prior registration is required. Following, you will receive a confirmation email and instructions for joining the session.

    Recently funded by the National Science Foundation (NSF), the SFS Program provides full scholarships for two or three years of support for undergraduate and graduate students in selected cybersecurity-related degree programs.

    In return, following graduation recipients must agree to work for for the U.S. government in a cybersecurity-related position for a period equal to the duration of the scholarship.

    Applications are being accepted for the 2021-2022 cohort. The deadline to apply is June 1, 2021. View the list of eligible degree programs on the SFS website.

    Session #1 is on Monday, March 22, 2021, from 6:00 to 7:00 p.m. EST. Register for Session #1 here.

    Session #2 is on Tuesday, March 30, 2021, from 6:00 to 7:00 p.m. EST. Register for Session #2 here.

    For more information, please visit the SFS website at https://www.mtu.edu/sfs/, or contact Professor Yu Cai (cai@mtu.edu).

    Read a Michigan Tech press release about this new scholarship opportunity:
    https://www.mtu.edu/news/stories/2021/february/cybercorps-offers-huskies-scholarship-for-service-opportunity.html


    Computing Programs Ranked Among Best in Nation

    Several Michigan Tech College of Computing degree programs have been ranked among the best in the nation by Intelligent.com. In addition, the research guide ranked the University number three among all colleges in Michigan.

    Intelligent.com looked at nearly 2,300 accredited colleges and universities nationwide making evaluations based on curriculum quality, graduation rate, reputation and post-graduate employment. Programs were evaluated on a scale of 0 to 100 with Michigan Tech making it to the final list for 12 separate degree programs.

    The four College of Computing programs and their national ranking as rated by Intelligent.com are:

    Additional Michigan Tech degree programs included in the ranking are: