Speaker: Yuhong Liu,
Affiliation of Speaker: Associate Professor at Department of Computer Science and Engineering, Santa Clara University
Abstract: With the popularity of edge computing, massive users and devices at the network edge are more actively involved in the networks, pushing the information collection, computation, storage, and communications more towards end users. In these more decentralized systems, how to enable efficient and trustworthy interactions among different parties becomes an essential issue.
Blockchain has been considered as a promising approach to facilitate the establishment of decentralized trustworthy computing systems with non-repudiated information records. For example, Bitcoin has attracted wide attention as a secure and decentralized platform to enable peer-to-peer exchanges of digital currency. Ethereum then generalizes blockchain as a state machine and enables smart contracts, a piece of code that can support complex logic and be self-executed when certain conditions are met. Such generalization enables blockchain to potentially serve as a computing infrastructure and opens new opportunities for blockchain to facilitate secure and decentralized interactions among any parties without making high trust assumptions about them.
In this talk, we will discuss some key characteristics of blockchain and a few promising applications of blockchain that can facilitate security and trust among multiple parties. Some examples include designing a secure and efficient multi-signature scheme to facilitate a multi-party approval process on Fabric, an enterprise blockchain platform; applying blockchain to secure software updates for resource-constrained IoT networks; and facilitating fair trading in the transactive energy market.
Speaker’s Bio:
Yuhong Liu, is currently an Associate Professor at Department of Computer Science and Engineering, Santa Clara University. Her research interests include trustworthy computing and cyber security of emerging applications, such as online social media, Internet-of-things and Blockchain. She is currently serving as an IEEE Computer Society Distinguish Visitor (2022-2023) and an APSIPA Distinguished Lecturer (2021-2022).
Moderator’s Bio:
Samantha Lubaba Noor completed her PhD in Electrical and Computer Engineering from Georgia Institute of Technology in Dec 2023. She has specialization in photonic integrated circuits and beyond CMOS nanoelectronic devices. During her PhD she worked in the Nanoelectronics Research Lab of Georgia Tech where she worked on modeling and optimization of a plasmon-based photonic integrated circuit for high performance computing. Prior to joining Georgia Tech, Samantha worked as a lecturer in the Department of Electrical and Electronic Engineering of East West University and BRAC University, Bangladesh.
She received her M.Sc. and B.Sc. in Electrical and Electronic Engineering from Bangladesh University of Engineering and Technology in 2012 and 2016, respectively, where her research focus was theoretical modeling of beyond-CMOS nanodevices like Tunnel FET. She is the recipient of Cadence Women in Technology Scholarship, IEEE Women in Photonics Travel Grant, Georgia Tech CRNCH Fellowship, and Georgia Tech Otto and Jenny Karauss Scholarship. She has been volunteering for IEEE WIE since 2012. She worked as the Chair of IEEE WIE Bangladesh section in 2016 and 2017. Currently she is serving as a member of WIE Travel Grant Ad Hoc Committee and WIE Upskill Ad Hoc Committee. Currently she is working as a Yield Engineer at Intel Corporation.