报告人：Miao Pan，Assistant Professor
Department of Electricaland Computer Engineering
University of Houston
Dr. Miao Pan is an Assistant Professor in the Department of Electricaland Computer Engineering at University of Houston. He was a recipientof NSF CAREER Award in 2014. Dr. Pan received Ph.D. degree inElectrical and Computer Engineering from University of Florida inAugust 2012. Dr. Pan's research interests include cognitive radionetworks, underwater communications and networking, cyber-physicalsystems, and cybersecurity. He has published 50 plus papers inprestigious journal and magazine papers including IEEE/ACMTransactions on Networking, IEEE Journal on Selected Areas inCommunications, IEEE Transactions on Mobile Computing, and IEEETransactions on Smart Grid, and 75 papers in top conferences such asIEEE INFOCOM, ICDCS, and IEEE IPDPS. His work won Best Paper Awards inGlobecom 2017 and Globecom 2015, respectively. Dr. Pan was anAssociate Editor for IEEE Internet of Things (IoT) Journal from 2015to 2018.
报告内容：The cyber-physical system (CPS) is largely referred to as the nextgeneration of engineered systems with the integration ofcommunication, computation, and control to achieve the goals ofstability and efficiency for physical systems. Cyber-physical systemsare often collect huge amounts of information for data analysis anddecision making. The collection of information helps the system makesmart decisions through advanced data processing, computing orlearning algorithms. However, there always lies a question: How "big"can be regarded as big data? Besides, data collection may lead to anundesirable loss of privacy for the participating users, therebyputting their promised benefits at risk. To address those issues, wehave made some efforts to effectively utilize the collected data viadata-driven approach while preserving the differential privacy of theusers who contribute their data.
In today's talk, we will present twoof our recent works on big data differential privacy preservation forcyber-physical systems: i) data-driven caching with users' localdifferential privacy in information-centric networks; and ii)data-driven optimization for utility providers with differentialprivacy of users' energy profile in smart grid.
时间：2018年7月30日 上午9:00-11:30
地点：山东大学千佛山校区创新大厦416室
承办单位：abc555奥博城
