Eugene Vasserman

Associate Professor, Computer Science

Eugene Vasserman studies cybersecurity and privacy, and their interplay with safety in cyber-physical systems, medical systems, and IoT. His most recent work includes trustworthy and robust machine learning for assured autonomy, such as safety-critical closed-loop control.

What does being an ID3A affiliate mean to you?

I see affiliation with ID3A as an opportunity to reinforce machine learning safety and security within the agricultural domain, from prediction systems, to decision support, to autonomous operation of heavy farming machinery. I look forward to learning about the unique problems in the agricultural domain, and ID3A connects me with experts in those fields; connections which I may not have made otherwise.

Why do you value working in an interdisciplinary model across focus areas and colleges?

The field of cybersecurity is not limited to computer science – it is deeply trans-disciplinary in that it touches every field which uses programmable systems. There are few one-size-fits-all solutions as every application area has its own unique use-cases and quirks; every new application area presents an exciting new challenge.

What skills and experiences do you bring to the institute?

My expertise lies in distributed systems security, and I have been working on trustworthy machine learning/AI for the last several years. I bring significant domain expertise in cybersecurity and cyber-physical systems, as well as regulatory experience from my work with the FDA on the security of medical devices.