Towards Cloud-Based Crowd-Augmented Spectrum Mapping for Dynamic Spectrum Access. - Prabhu Janakaraj; Pu Wang 001; Zheng Chen (ICCCN, 2016)

STAR: Simultaneous Tracking and Recognition through Millimeter Waves and Deep Learning. - Prabhu Janakaraj; Kalvik Jakkala; Arupjyoti Bhuyan; Zhi Sun; Pu Wang 001; Minwoo Lee 001 (WMNC, 2019)

Towards In-Band Telemetry for Self Driving Wireless Networks. - Prabhu Janakaraj; Pinyarash Pinyoanuntapong; Pu Wang 001; Minwoo Lee 001 (INFOCOM Workshops, 2020)

FedAir: Towards Multi-hop Federated Learning Over-the-Air. - Pinyarash Pinyoanuntapong; Prabhu Janakaraj; Pu Wang 001; Minwoo Lee 001; Chen Chen 001 (SPAWC, 2020)

Optimal crowd-augmented spectrum mapping via an iterative Bayesian decision framework. - Ahmad Rabanimotlagh; Prabhu Janakaraj; Pu Wang 001 (Ad Hoc Networks, 2020)

Non-cooperative Personnel Tracking with Cross Modality Learning in 5G-enabled Warehouse Application. - Yang Zhao; Gangliang Zhao; Prabhu Janakaraj; Lynn A. DeRose; Austars R. Schnore; Sm Hasan (5GWF, 2021)

Person Re-ID Testbed with Multi-Modal Sensors. - Guangliang Zhao; Guy Ben-Yosef; Jianwei Qiu; Yang Zhao; Prabhu Janakaraj; Sriram Boppana; Austars R. Schnore (SenSys, 2021)

EdgeML: Towards network-accelerated federated learning over wireless edge. - Pinyarash Pinyoanuntapong; Prabhu Janakaraj; Ravikumar Balakrishnan; Minwoo Lee 001; Chen Chen 001; Pu Wang 001 (Comput. Networks, 2022)