Francesco Da Ros

Francesco Da Ros is an Associate Professor at the Technical University of Denmark, Department of Electrical and Photonics Engineering. His work focuses on machine learning applications in photonic systems, particularly in optical communication and photonic computing.

• Active in silicon photonics and nonlinear optics
• Key contributor to optical machine learning and digital signal processing

Research Interests:
Da Ros explores the intersection of machine learning and photonics, with specific projects involving:

• Photonic reservoir computing
• End-to-end optimization of optical communication systems
• Neuromorphic photonic circuits
• Channel equalization techniques
• Quantum communication systems
• Thermal crosstalk compensation in integrated photonics

Scientific Contributions:
His research has produced over 245 publications and 23 projects, including significant work on:

• Raman amplifier optimization
• Machine learning for optical matrix multipliers
• Frequency comb phase noise characterization
• Security systems using distributed acoustic sensing

Awards:
Recipient of prestigious awards such as:

• Best Young Italian Researcher in Denmark (2019)
• DOPS Prize (2017)
• Horizon Prize for Breaking Optical Transmission Barriers (2016)

Academic Leadership:
Actively supervises PhD students in projects related to:

• End-to-end learning for multi-core fiber systems
• Nonlinear fiber-optic channel optimization
• Quantum communication lasers
• Integrated quantum photonic reservoir computing