DPReDO: Dynamic Partial Reconfiguration enabled Design Obfuscation for FPGA Security. - Sandeep Sunkavilli; Nishanth Goud Chennagouni; Qiaoyan Yu (SOCC, 2022)

A Hybrid Neural Network for Simultaneous Multi-Attack Detection in Sensor Networks. - Nishanth Goud Chennagouni; Mohammad Mezanur Rahman Monjur; Wei Lu; Qiaoyan Yu (AsianHOST, 2023)

Feature-driven Approximate Computing for Wearable Health-Monitoring Systems. - Nishanth Goud Chennagouni; Mashrafi Alam Kajol; Diliang Chen; Dongpeng Xu 001; Qiaoyan Yu (ACM Great Lakes Symposium on VLSI, 2024)

Optimizing Wearable Sensors with Multifeature Approximate Computing. - Nishanth Goud Chennagouni; Qiaoyan Yu (WIDECOM, 2024)

INEAD: Intermediate Node Evaluation-Based Attack Detection for Secure Approximate Computing Systems. - Pruthvy Yellu; Nishanth Goud Chennagouni; Qiaoyan Yu (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2024)

Security Challenges Toward In-Sensor Computing Systems. - Mashrafi Alam Kajol; Nishanth Goud Chennagouni; Wei Lu 018; Qiaoyan Yu (ACM Great Lakes Symposium on VLSI, 2025)

A New Dynamic Countermeasure to Strengthen Design Obfuscation in FPGAs. - Sandeep Sunkavilli; Nishanth Goud Chennagouni; Qiaoyan Yu (ACM Trans. Design Autom. Electr. Syst., 2025)