Kenneth Mai is a principal systems scientist in Electrical and Computer Engineering. His research interests are in scaling process technologies into the nanometer regime, the underlying implementation technology increasingly affects architecture and circuit design. He has interests in adapting and reinventing current designs to circumvent technology constraints (e.g. interconnect delay, device leakage, soft-errors, device mismatch), and in targeting emerging applications (e.g. sensor networks, computational biology). He has interests in building computer systems that can efficiently achieve high-performance, yet remain economically feasible, general-purpose, and easy to program. In the long-term, with CMOS scaling approaching fundamental limits, the challenge will be to build efficient, high-performance, reliable computation systems from technology building blocks that may be radically different from those we use today.
His primary research interest is the circuit design of efficient, high-performance digital blocks (i.e. memories and functional units) in future generation technologies. Further, his interests lie in building tools to export VLSI-level design information and constraints to architectural-level design.
Building Secure Reliable Hardware Roots-of-Trust: Are PUFs Enough?
CyLab presents Ken Mai, Senior Systems Scientist at Carnegie Mellon University, as part of the weekly seminar series.
Second round of Secure and Private IoT Initiative funded projects announced
Carnegie Mellon CyLab’s Secure and Private IoT Initiative (IoT@CyLab) has announced its second round of funding, which will support ten IoT-related projects for one year.
CMU research provides insight into SSD vulnerabilities
A collaborative report of Carnegie Mellon University, Seagate Technology, and ETH Zürich regarding how to mitigate SSD vulnerability was featured in TechTarget.