Erik Meijer

Erik Meijer received his Ph.D. from Nijmegen University in 1992. He was an associate professor at Utrecht University. He then became a software architect for Microsoft where he headed the Cloud Programmability Team from 2000 to 2013. He then founded Applied Duality Inc. In 2011 Erik Meijer was appointed part-time professor of Cloud Programming within the Software Engineering Research Group at Delft University of Technology. He is also member of the ACM Queue Editorial Board. In October 2015 Erik Meijer joined the Developer Infra Structure organization at Facebook where he works on leveraging ML to make developers more productive.

Meijer’s research has included the areas of functional programming, particularly Haskell, parsing, programming language design, XML, and foreign function interfaces. His work at Microsoft included C#, Visual Basic, LINQ, Volta, and the reactive programming framework (Reactive Extensions) for .NET. In 2009, he was the recipient of the Microsoft Outstanding Technical Leadership Award and in 2007 the Outstanding Technical Achievement Award as a member of the C# team.





Tim Menzies

Tim Menzies (Ph.D., UNSW, 1995) is a full Professor in CS at North Carolina State University where he teaches software engineering, automated software engineering, and foundations of software science. He is the directory of the RAISE lab (real world AI for SE). that explores SE, data mining, AI, search-based SE, and open access science.

He is the author of over 250 referred publications and editor of three recent books summarized the state of the art in software analytics. In his career, he has been a lead researcher on projects for NSF, NIJ, DoD, NASA, USDA, as well as joint research work with private companies. For 2002 to 2004, he was the software engineering research chair at NASA’s software Independent Verification and Validation Facility.

Prof. Menzies is/has been is an associate editor of IEEE Transactions on Software Engineering, ACM Transactions on Software Engineering Methodologies, Empirical Software Engineering, the Automated Software Engineering Journal the Big Data Journal, Information Software Technology, IEEE Software, and the Software Quality Journal. In 2015, he served as co-chair for the ICSE’15 NIER track. He has served as co-general chair of ICSME’16 and co-PC-chair of SSBSE’17, and ASE’12. For more, see his vita (http://menzies.us/pdf/MenziesCV.pdf or his list of publicationshttp://tiny.cc/timpubs) or his home page http://menzies.us.





Lingxiao Jiang

is an Associate Professor in the School of Information Systems at Singapore Management University. His research focuses on software analysis and mining, exploring the combination of program analysis and machine learning techniques for software engineering problems. He has been working on various program representations for code similarity measurement, refactoring, code search, and automated testing & debugging. He received his PhD in Computer Science from University of California, Davis in 2009, and a Master's degree in Applied Mathematics and a Bachelor's degree in Information Science from the School of Mathematical Sciences at Peking University in 2003. He also had working experience as a test strategist at Nvidia Corporation before joining SIS at SMU.





Stephane Glondu

is a research engineer at Inria Nancy. He received his PhD in Computer Science from Université Paris Diderot in 2012, and a Master’s degree in Computer Science from ENS Cachan in 2007. His research spans programming languages and logic, formal methods, cryptographic protocols and more specifically voting systems. He has been involved in the development of the Coq proof assistant. He now develops the Belenios online voting system.





Zhendong Su

is a Professor in Computer Science at ETH Zurich. Previously, he was a Professor in Computer Science and a Chancellor's Fellow at UC Davis. He received his PhD in Computer Science from UC Berkeley. His research spans programming languages and compilers, software engineering, computer security, deep learning and education technologies. His work was recognized by an ACM SIGSOFT Impact Paper Award, a Google Scholar Classic Paper (2017) Award, multiple best/distinguished paper awards at top venues, an ACM CACM Research Highlight, an NSF CAREER Award, a UC Davis Outstanding Faculty Award, and multiple industrial faculty awards. He serves on the steering committees of ISSTA and ESEC/FSE, served as an Associate Editor for ACM TOSEM, co-chaired SAS 2009, program chaired ISSTA 2012, and program co-chaired SIGSOFT FSE 2016.