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Dr. Yijun Yu is a Senior Lecturer in Computing and Communications at The Open University, UK. He is interested in developing automated, efficient and scalable software techniques and tools to better support human activities in software engineering. He has the vision to improve aviation security through cloud computing and blockchains by live streaming black boxes after the missing MH370 flight, which featured in interviews with BBC Radio 4 and BBC World Services aired in April 2014, and subsequently received a Microsoft Azure Award (2017), an Amazon Cloud Award (2018), and an EU SESAR JU EngageKTN Grant (2019). His research on requirements-driven adaptation receives a 10 Year Most Influential Paper award (CASCON’16), 6 Best Paper awards (SEAMS’18, iRENIC’16, TrustCom’14, EICS’13, VMPDP’01), 3 Distinguished Paper awards (RE’11, BCS’08, ASE’07), a Best Tool Demo Paper Award (RE’13) and a Best Student Paper Award (PDCS’02). He serves as an Associate Editor of the Software Quality Journal, Chair of BCS Specialist Group on Requirements Engineering, a PC member of international conferences on Software Engineering (FSE, ICSE), Requirements Engineering (RE, CAiSE, ER), Software Maintenance and Evolution (ICSME, CSMR, SANER, ICPC), Security (ESSoS), and Internet of Things (WF-IoT). As Principle Investigator, he managed knowledge transfer projects with NATS, Huawei, IBM, CA, RealTelekom, and is a co-investigator on research projects including Adaptive Security and Privacy (ERC Adv. Grant, 2012-2018), and Adaptive Information Systems (QNRF, 2012-2016), Lifelong Security Engineering for Evolving Systems (EU FP7, 2009-2012), and Usable Privacy for Mobile Apps (Microsoft SEIF, 2012).
|ASE 2019|| Cautious Adaptation of Defiant Components|
AutoFocus: Interpreting Attention-based Neural Networks by Code Perturbation
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