Analog vs. Digital Spatial Transforms: A Throughput, Power, and Area Comparison. - Zephan M. Enciso; Seyed Hadi Mirfarshbafan; Oscar Castañeda; Clemens J. S. Schaefer; Christoph Studer; Siddharth Joshi 001 (MWSCAS, 2020)

A 0.57 mm2 Platform with 70.7% Efficient 4 mA 3.2 V Charge Pump and a Current-Input Ramp ADC for Implantable Optical Sensing of Tumors. - Md. Shahrul Islam; Zephan M. Enciso; Sunghoon Rho; Kshama Lakshmi Ranganatha; Alicia Wei; Thomas D. O'Sullivan; Siddharth Joshi (BioCAS, 2023)

VAE-HDC: Efficient and Secure Hyper-dimensional Encoder Leveraging Variation Analog Entropy. - Boyang Cheng; Jianbo Liu; Steven Davis; Zephan M. Enciso; Yiyang Zhang; Ningyuan Cao (DAC, 2024)

Smoothing Disruption Across the Stack: Tales of Memory, Heterogeneity, & Compilers. - Michael T. Niemier; Zephan M. Enciso; M. Sharifi; Xiaobo Sharon Hu; Ian O'Connor; A. Graening; R. Sharma; P. Gupta; Jerónimo Castrillón; João Paulo C. de Lima; Asif Ali Khan; Hamid Farzaneh; et al. (DATE, 2024)

Towards Uncertainty-Quantifiable Biomedical Intelligence: Mixed-signal Compute-in-Entropy for Bayesian Neural Networks. - Likai Pei; Yifan Qin; Zephan M. Enciso; Boyang Cheng; Jianbo Liu; Steven Davis; Zhenge Jia; Michael T. Niemier; Yiyu Shi 001; Xiaobo Sharon Hu; Ningyuan Cao (ICCAD, 2024)

CIPUF: Towards On-chip Learnable Anomaly Detection with Compute-In-PUF Architecture. - Jianbo Liu; Boyang Cheng; Zephan M. Enciso; Steven Davis; Ningyuan Cao (ISLPED, 2024)

15.3 A 65nm Uncertainty-Quantifiable Ventricular Arrhythmia Detection Engine with 1.75µJ Per Inference. - Jianbo Liu; Zephan M. Enciso; Boyang Cheng; Likai Pei; Steven Davis; Yifan Qin; Zhenge Jia; Xiaobo Sharon Hu; Yiyu Shi 001; Ningyuan Cao (ISSCC, 2025)

A 65 nm Bayesian Neural Network Accelerator with 360 fJ/Sample In-Word GRNG for AI Uncertainty Estimation. - Zephan M. Enciso; Boyang Cheng; Likai Pei; Jianbo Liu; Steven Davis; Michael T. Niemier; Ningyuan Cao (CoRR, 2025)