My research areas include embedded hardware security, embedded systems design, modeling, and simulation with applications in Healthcare, Automotive, and the Internet of Things. I investigate security risks to design reliable devices.
Latest updated CV
University of Michigan CSE division
Detection device of molecular compounds based on Surface Plasmon Resonance
Sara Rampazzi, Francesco Leporati, Giovanni Danese, Nelson Nazzicari, Lucia Fornasari, Franco Marabelli, Andrea Valsesia.
European patent #IT2013MI01345 20130806. Priority 2013. Issued 2015.
Embedded systems security, applying systems simulation and modeling to investigate security risks and design reliable devices.
Modeling and simulation design for hardware security in IoT.
Client: Blue Danube Inc.
Project: Firmware and software developer for smart antenna based wireless network.
Client: Leonardo S.p.A. - Space division
Project: Embedded software developer for the spacecraft EUCLID Command and Data Handling system and orbit control.
Client: Magneti Marelli (Fiat Chrysler Automobiles Group)
Project: Model-based design engineer for HMI (Human-Machine Interface) in automotive cluster area.
Researcher on Support Vector Machine (SVM) for Hyperspectral Images classification.
Hardware and software design for Lab-on-Chip biosensors.
Helping students in the undergraduate programs offered through the Electrical Engineering and Computer Science Department.
The purpose of the program is to bring first generation Michigan Engineering students (undergraduate & graduate) together to build the community, and share resources and experiences.
The purpose of the camp is to mentor high school students interested in Engineering and Security in Cyberspace.
Introducing computer science engineering undergraduate students to research and encouraging them to meet and share their ideas in their areas of interest and future profession.
SCIENCE MAGAZINE -
Archimedes is an independent, pioneering center created to help manufacturers, industry experts and physicians to navigate the operational hazards of cybersecurity implementation in healthcare.
The Trustworthy Health and Wellness (THAW) is a NSF-funded project that tackles many of the fundamental research challenges necessary to provide trustworthy information systems for health and wellness, as sensitive information and health-related tasks are increasingly pushed into mobile devices and cloud-based services.