Welcome to Research Lab for Intelligent Software Engineering (RISE)

The Research Lab for Intelligent Software Engineering (RISE) conducts applied and fundamental research in the intersection of software engineering, artificial intelligence and cybersecurity with the goal of improving software quality and reducing software cost.

Center Director/Co-Directors


Associate Professor David Lo

Professor David Lo

School of Computing and Information Systems

Associate Professor Jiang Lingxiao

School of Computing and Information Systems

Associate Professor Sun Jun

Professor Sun Jun

School of Computing and Information Systems

 

Established in April 2020, Research Lab in Software Engineering (RISE) conduct research in the intersection of software engineering, artificial intelligence, and cybersecurity. RISE initial members include 9 faculty members from School of Computing and Information Systems; it has since grown to include more than 30 members -- including faculty members, research staffs, graduate students, and undergraduate students. RISE is funded by an assortment of funds from National Research Foundation, Ministry of Education, National Satellite of Excellence, AI Singapore, Singapore Data Science Consortium, and some industry funds. It is established with a funding of 4.9 million SGD from 11 projects, and up to July 2022, it has acquired another more than 10 projects with a total funding of more than 10 million SGD.


Vision

To be a world-leading research lab on software intelligence supporting SMU's vision to be a premier university.


Mission

We aim to (1) conduct research for next-generation and future-ready software systems involving cutting edge technologies; (2) provide insights and solutions for practitioners in improving their productivity and ensuring software reliability and security, (3) attract and train top-notch researchers, and (4) nurture industrial collaborations and applications.


Objective

Develop concepts, methodologies, and tools for:

  • Engineering reliable software systems
  • Engineering intelligent software systems
  • Engineering secure software systems
  • Engineering efficient software systems
  • Engineering maintainable software systems
  • Improving developer productivity

Sample Projects

Our research topics are in the intersection of software engineering, artificial intelligence, and cybersecurity, ranging from fundamental software theories to tool prototyping for various application domains.

  • "A Science of Certified AI Systems," funded by MOE AcRF Tier 3
  • Certified AI 1
    Certified AI 2
    Certified AI 3

  • "DeepSense: Deep Media Sensing for Software API Recommendation," funded by MOE AcRF Tier 2
  • DeepSense
  • "AutoPrivacyModel: Automated Feature Modelling for Identifying Illegitimate Uses of Privacy-Sensitive Data in Mobile Applications," funded by NRF NSOE MSS-CS
  • AutoPrivacyModel
  • "Uncovering Vulnerabilities in Machine Learning Frameworks via Software Composition Analysis and Directed Grammar-Based Fuzzing," funded by NRF NSOE TSS
  • Uncovering Vulnerabilities
  • "ADrone: Auditing Drone Behaviours for Accountability of Criminal/Malicious Activities," funded by NRF NSOE MSS-CS
  • ADrone

  • "AP-Coach: adaptive feedback generation for learning introductory programming concepts," funded by MOE TRF
  • AP-Coach


Outputs

  • PhDs/Masters graduated: 4 PhDs and 3 Masters as of July 2022
  • UG student research assistants trained: 18 in 2021; 22 in 2022
  • Research engineers/postdocs spun out: 3 as of July 2022
  • Research papers published: 73 in total in AY20, 27 are in top venues; 126 in total in AY21, 59 are in top venues
  • Software tools and datasets released: 1 in AY20, 5 in AY21
  • Workshops/conferences organized: 2 in AY20, 5 in AY21
  • Honors and awards: IEEE Fellow (class of 2022) for RISE's founding director Prof. D. Lo; Technology Cooperation Excellence Award from Huawei for Prof. S. Jun; 3rd place in AISG Trusted Media Challenge for Prof. X. Xie; 5 Distinguished / Most Influential Papers