Ilya Chugunov

Princeton University

Papers

1

Total Citations

12

H-Index

1

About

Ilya Chugunov is a researcher pushing the boundaries of computational imaging and depth sensing. His work focuses on developing novel, free-space imaging techniques that operate outside the visible spectrum, particularly in the centimeter-wave regime. Chugunov’s most notable contribution, "Centimeter-wave Free-space Neural Time-of-Flight Imaging" (2022), introduces a groundbreaking approach that leverages neural networks to reconstruct depth from radio-frequency signals. This work has already garnered 12 citations, signaling its early impact on the field. By reimagining correlation Time-of-Flight sensors—traditionally limited to meter-scale indoor use—Chugunov’s method opens doors for imaging through occlusions and in challenging environments where conventional optical sensors fail. His research sits at the intersection of optics, machine learning, and radio-frequency engineering, offering a fresh paradigm for autonomous systems, robotics, and scientific imaging. As a rising voice in computational imaging, Chugunov’s work promises to redefine how we perceive and interact with the physical world, making him a researcher to watch for students and professionals alike.

Research Focus

Key Achievements

1
H-Index
1
Papers
12
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Centimeter-wave Free-space Neural Time-of-Flight Imaging
12 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Princeton University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago