Eric Blow Presents at the IEEE Photonics Conference Singapore on November 10th & 13th

Eric C. Blow, a researcher in our Optical Networking and Sensing Group, will give an invited talk on the behalf of Dr. Giovanni Milione, entitled Machine Learning, Distributed Acoustic Sensing, and Critical Infrastructure Monitoring at the IEEE Photonics Conference (IPC2025) in Singapore, on Monday, 10 November 2025 from 8:30am – 10:00am, Session: MF1.1 and in Venue: Aquarius 2. We review recent advances in the applications of novel machine learning methods to distributed acoustic sensing data for the physical monitoring of critical infrastructure, such as facility perimeters. We highlight classification of intrusion detection events—walk, dig, drive—over km-scale, buried optical fiber with ~90% accuracy. Authors from NEC Labs America: Giovanni Milione, Giacomo Borraccini, Eric C. Blow, Yue-Kai Huang, Shaobo Han, Philip Ji and Ting Wang.

Eric C. Blow, a researcher in our Optical Networking and Sensing Group, will present Neuromorphic Photonics-Enabled Near-Field RF Sensing with Residual Signal Recovery and Classification at the IEEE Photonics Conference (IPC2025) in Singapore, on Thursday, 13 November 2025 from 8:30am – 10:00am, Session: ThC1.3 and in Venue: Leo 3. He will present near-field radio-frequency sensing and residual signal recovery accomplished with combination of silicon photonics and FPGA electronics. Frontend sensing is accomplished via microwave photonic cancellers, while backend signal is achieved via photonic recurrent neural networks and FPGA, enabling high-bandwidth and low-latency classification. Eric C. Blow, NEC Laboratories America, Inc.; Lei Xu, Princeton University; Yusuf Jimoh, Princeton University; Professor Paul R. Prucnal, Princeton University; Ting Wang, NEC Laboratories America, Inc.

Yuxin Wang, Princeton University, who collaborates with Eric Blow, has been named a Best Student Paper Finalist and will present her paper for Scalable Photonic Neurons for High-Speed Automatic Modulation Classification at the IEEE Photonics Conference (IPC2025) in Singapore, on Thursday, 13 November 2025 from 8:30am – 10:00am, Session: ThC1.4 Venue: Leo 3. This is the first experimental photonic implementation of Automatic modulation classification (AMC), achieved through a fully functional photonic neural network (PNN) built from novel scalable microring resonators that co-integrate electro-optic modulation and weighting, representing the first system-level deployment of such photonic neurons in PNN. Authors: Yuxin Wang, Princeton University; Weipeng Zhang, Princeton University; Eric C. Blow, NEC Labs America, Princeton University; Joshua C. Lederman, Princeton University; Professor Bhavin J. Shastri, Queen’s University and Professor Paul R. Prucnal, Princeton University.