Modeling and analysis of digital linear dropout regulators with adaptive control for high efficiency under wide dynamic range digital loads. - Samantak Gangopadhyay; Youngtak Lee; Saad Bin Nasir; Arijit Raychowdhury (DATE, 2014)

The role of adaptation and resiliency in computation and power management. - Arijit Raychowdhury; Saad Bin Nasir; Samantak Gangopadhyay (ICCAD, 2014)

Modeling and analysis of system stability in a distributed power delivery network with embedded digital linear regulators. - Saad Bin Nasir; Youngtak Lee; Arijit Raychowdhury (ISQED, 2014)

Integrated power management in IoT devices under wide dynamic ranges of operation. - Samantak Gangopadhyay; Saad Bin Nasir; Arijit Raychowdhury (DAC, 2015)

5.6 A 0.13μm fully digital low-dropout regulator with adaptive control and reduced dynamic stability for ultra-wide dynamic range. - Saad Bin Nasir; Samantak Gangopadhyay; Arijit Raychowdhury (ISSCC, 2015)

A Model Study of an All-Digital, Discrete-Time and Embedded Linear Regulator. - Saad Bin Nasir; Arijit Raychowdhury (CoRR, 2015)

Embedded hybrid LDO topologies for digital load circuits. - Saad Bin Nasir; Arijit Raychowdhury (APCCAS, 2016)

UVFR: A Unified Voltage and Frequency Regulator with 500MHz/0.84V to 100KHz/0.27V operating range, 99.4% current efficiency and 27% supply guardband reduction. - Samantak Gangopadhyay; Saad Bin Nasir; A. Subramanian; Visvesh Sathe 001; Arijit Raychowdhury (ESSCIRC, 2016)

A 130nm hybrid low dropout regulator based on switched mode control for digital load circuits. - Saad Bin Nasir; Shreyas Sen; Arijit Raychowdhury (ESSCIRC, 2016)

All-digital linear regulators with proactive and reactive gain-boosting for supply droop mitigation in digital load circuits. - Saad Bin Nasir; Arijit Raychowdhury (ISCAS, 2016)

Digitally-assisted leakage current supply circuit for reducing the analog LDO minimum dropout voltage. - Samantak Gangopadhyay; Saad Bin Nasir; Hoan Nguyen; Jihoon Jeong; Francois Atallah; Keith A. Bowman; Arijit Raychowdhury (CICC, 2017)

High efficiency power side-channel attack immunity using noise injection in attenuated signature domain. - Debayan Das; Shovan Maity; Saad Bin Nasir; Santosh Ghosh; Arijit Raychowdhury; Shreyas Sen (HOST, 2017)

Self-Optimizing IoT Wireless Video Sensor Node With In-Situ Data Analytics and Context-Driven Energy-Aware Real-Time Adaptation. - Ningyuan Cao; Saad Bin Nasir; Shreyas Sen; Arijit Raychowdhury (IEEE Trans. Circuits Syst. I Regul. Pap., 2017)

A 65nm, 1.15-0.15V, 99.99% Current-efficient Digital Low Dropout Regulator with Asynchronous Non-linear Control for Droop Mitigation. - Saad Bin Nasir; Anto Kavungal Davis; Mohamed Lamine Faycal Bellaredj; Madhavan Swaminathan; Arijit Raychowdhury; Adam Beece; Don Disney; Yong Wang; Hesam Fathi Moghadam; Eric Soenen; Jongku Kang; Yasuhiko Mano; et al. (ISCAS, 2018)

A 55nm time-domain mixed-signal neuromorphic accelerator with stochastic synapses and embedded reinforcement learning for autonomous micro-robots. - Anvesha Amaravati; Saad Bin Nasir; Sivaram Thangadurai; Insik Yoon; Arijit Raychowdhury (ISSCC, 2018)

Switched-Mode-Control Based Hybrid LDO for Fine-Grain Power Management of Digital Load Circuits. - Saad Bin Nasir; Shreyas Sen; Arijit Raychowdhury (IEEE J. Solid State Circuits, 2018)

ASNI: Attenuated Signature Noise Injection for Low-Overhead Power Side-Channel Attack Immunity. - Debayan Das; Shovan Maity; Saad Bin Nasir; Santosh Ghosh; Arijit Raychowdhury; Shreyas Sen (IEEE Trans. Circuits Syst. I Regul. Pap., 2018)

A Reconfigurable Hybrid Low Dropout Voltage Regulator for Wide-Range Power Supply Noise Rejection and Energy-Efficiency Trade-Off. - Saad Bin Nasir; Shreyas Sen; Arijit Raychowdhury (IEEE Trans. Circuits Syst. II Express Briefs, 2018)

A 55-nm, 1.0-0.4V, 1.25-pJ/MAC Time-Domain Mixed-Signal Neuromorphic Accelerator With Stochastic Synapses for Reinforcement Learning in Autonomous Mobile Robots. - Anvesha Amaravati; Saad Bin Nasir; Justin Ting; Insik Yoon; Arijit Raychowdhury (IEEE J. Solid State Circuits, 2019)

QuantX: A Framework for Hardware-Aware Quantization of Generative AI Workloads. - Khurram Mazher; Saad Bin Nasir (CoRR, 2025)

Accelerating GenAI Workloads by Enabling RISC-V Microkernel Support in IREE. - Adeel Ahmad; Ahmad Tameem Kamal; Nouman Amir; Bilal Zafar; Saad Bin Nasir (CoRR, 2025)