I'm a research scientist working at the intersection of computer vision, signal processing and security. A central theme of my work to date focused on verification and assurance of media integrity - both in terms of pro-active secure media capture and passive media forensics. This interdisciplinary field combines concepts from computer vision, image processing, image quality assessment, machine learning, statistical signal processing, and communication & information theory.
If you’d like to know more about the field, feel free to check out my recent survey. If you'd like to experiment with some of the techniques that I was working on, the best place to start is the featured content below and my github profile. The publications section also lists supplementary materials and source code that accompanies specific papers.
I'm currently an applied scientist at Amazon. Previously, I worked with prof. Nasir Memon at NYU Center for Cyber-security on modeling and end-to-end optimization of photo acquisition and distribution pipelines. I did my post-doctoral research on photo manipulation detection and forensic analysis of imaging sensors with prof. Jiwu Huang at the Key Laboratory of Media Information Content Security at Shenzhen University, China. My doctoral work was under the supervision of prof. Andrzej Dziech at the Department of Telecommunications of AGH University of Science and Technology, Kraków, Poland. I used tools from communication and information theory to design new techniques for photo authentication and restoration based on digital watermarking.
I currently serve the research community as a reviewer for technical journals and conferences and as a member of the IEEE Information Forensics and Security Technical Committee.
low-level vision · machine learning · image processing · signal processing · media forensics · media integrity