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Biography of Dr. Linghui Luo

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I am an applied scientist at Amazon Web Services, working for Amazon Q and CodeGuru. These blogs (here and here) should give you a glimpse of my work at AWS. My research spans various areas of software engineering and security, with a focus on advancing the effectiveness, scalability and integration of program analysis techniques. Particularly, I am interested in following research directions:

  • Improving Security Practices: A core focus of my work developed innovative approaches to enforce security coding practices. With the popularity of applying Generative AI for writting code, these days I am also working on improving the security and quality of generated code.
  • Scalability and Performance: I explore methods to enhance scalability of static analyses, with balancing to soundness.
  • Usability and Integration: Recognizing the importance of seamless tool integration into developers’s workflow, I am dedicated to find ways that improve the usability and integration of static analyses.
  • Advancement in Static Analysis Frameworks: I’m committed to advancing the state-of-the-art in static analysis frameworks to meet evolving industry demands.
  • Benchmarking and Evaluation: I am passionate about establishing rigorous benchmarks and evaluation methods to assess effectiveness of static analysis tools.

My contributions to the field have been recognized with prestigious awards, notably the Ernst Denert Software Engineering Award 2021 -- an award for an outstanding research contribution in the field of methods, tools, and procedures for software development by the Software Engineering Department of the German Informatics Society (GI) in cooperation with the Austrian Computer Society (OCG) and the Swiss Informatics Society (SI).

Apart from my research work, I also actively serve as a program committee member at top conferences such as ESEC/FSE, ICSE, and ISSTA in the field.

Before joining Amazon, I was a research associate in the Secure Software Engineering Group at Paderborn University in Germany. I received my PhD from Paderborn University in 2021, with distinction, under the advisement of Prof. Eric Bodden. I also hold both a master's and bachelor's degree from Paderborn University.

German Bio/Lebenslauf auf Deutsch

📢 I received ZONTA Science Award 2023 for my research

📢 My dissertation won the UPB Doctoral Dissertation Award

📢 Our paper "Long-term Static Analysis Rule Quality Monitoring Using True Negatives" was accepted at ICSE 2023

📢 Our paper "Model Generation For Java Frameworks" was accepted at ICST 2023

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Contribution to Open Source

I am the creator of MagpieBridge and a contributer to Soot and SootUp.

Contact

✉ linghui[at]outlook.de

Life Outside of Work

Together with my husband, I keep three beloved pets: a dog, a cat and a black cat. I love to spend my time with my pets and do sports such as hiking and bouldering. I also enjoy music and play the cello.

Linghui Luo's Projects

ideal icon ideal

IDE/AL - Alias-Aware Framework for Interprocedural Dataflow Analysis

infer icon infer

A static analyzer for Java, C, C++, and Objective-C

js-yaml icon js-yaml

JavaScript YAML parser and dumper. Very fast.

marko icon marko

A declarative, HTML-based language that makes building web apps fun

multiskipgraph icon multiskipgraph

This is a simulator implemented in Java for evaluating and demonstrating the MultiSkipGraph protocol and its extended version MultiSkipGraph*.

slf4j icon slf4j

Simple Logging Facade for Java

son-schema icon son-schema

The schema files for the various descriptors used by SONATA

soot icon soot

Soot - A Java optimization framework

susi icon susi

SuSi - our tool to automatically discover sources and sinks in the Android framework

vasco icon vasco

An inter-procedural data flow analysis framework using value-based context sensitivity

visuflow-plugin icon visuflow-plugin

VisuFlow - Eclipse plugin that helps static code developers in writing static analyses on top of Soot.

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