Suman Jana

More specifically, he builds automated tools for finding and fixing security and privacy vulnerabilities in large real-world systems. Such tools often leverage techniques from diverse domains including machine learning, software engineering, and program analysis. 

His research has led to the reporting and fixing of around 250 high-impact security vulnerabilities across a wide range of popular software. His research software has been incorporated into several open-source software including Mozilla Firefox, Apache Cordova, and cURL.

Jana received a BE in computer science & engineering from Jadavpur University, India in 2003, an MS in computer science from University of Utah in 2009, and a PhD in computer science from the University of Texas, Austin, in 2014. His research has won four best paper awards including the 2014 PET award for Outstanding Research in Privacy Enhancing Technologies.

Research Areas

• Security and Privacy
• Software Systems
• Artificial Intelligence (AI) and Machine Learning (ML)
• Cybersecurity