Institution profile

University of Patras

Academic institutioneurope · gr
Official website
Research library78linked papers
Opportunities0open roles
Selected work

Representative Papers

NAS-Driven Hardware Accelerator Exploration for Edge AI and Quantization Effects on the Pareto Space

Aug 13, 2026

Deploying AI at the edge demands co-optimization of model accuracy, efficiency, and hardware deployability, yet existing neural architecture search (NAS) methods often neglect systematic consideration of quantization effects and hardware mapping. This work proposes a three-stage joint optimization framework comprising a hardware-agnostic Pareto-ranking proxy front-end, a quantization perturbation-aware Pareto filtering and feedback bridge, and an evolutionary hardware-space exploration back-end tailored for CGRA4ML. For the first time, it systematically characterizes the impact of INT4 post-training quantization across the full Pareto space of NAS-Bench-201 architectures, revealing that FP32 zero-shot proxies outperform dedicated INT4 proxies in Pareto coverage, and enables efficient automatic mapping of quantized models onto reconfigurable accelerators.

0 citationsRead paper

Real-Time Nonlinear MPC via Sequential Quadratic Programming with Structure-Exploiting ADMM and Interior-Point Methods for Underactuated Double-Pendulum Swing-Up

Aug 10, 2026

This work proposes an efficient real-time nonlinear model predictive control (NMPC) approach for the remote underactuated double pendulum system under unknown parameters and limited interaction time. By integrating a structure-exploiting alternating direction method of multipliers (ADMM) with an interior-point-accelerated sequential quadratic programming (SQP) solver, the method achieves global swing-up and stabilization without requiring prior model knowledge. The proposed framework is directly deployed on the CloudPendulum remote hardware platform, satisfying stringent real-time constraints while demonstrating strong robustness and disturbance rejection capabilities. Experimental results confirm its effectiveness in reliably achieving both swing-up and stable regulation of the double pendulum system.

0 citationsRead paper
Recent publications

Latest Papers

NAS-Driven Hardware Accelerator Exploration for Edge AI and Quantization Effects on the Pareto Space

Aug 13, 2026

Deploying AI at the edge demands co-optimization of model accuracy, efficiency, and hardware deployability, yet existing neural architecture search (NAS) methods often neglect systematic consideration of quantization effects and hardware mapping. This work proposes a three-stage joint optimization framework comprising a hardware-agnostic Pareto-ranking proxy front-end, a quantization perturbation-aware Pareto filtering and feedback bridge, and an evolutionary hardware-space exploration back-end tailored for CGRA4ML. For the first time, it systematically characterizes the impact of INT4 post-training quantization across the full Pareto space of NAS-Bench-201 architectures, revealing that FP32 zero-shot proxies outperform dedicated INT4 proxies in Pareto coverage, and enables efficient automatic mapping of quantized models onto reconfigurable accelerators.

0 citationsRead paper

Real-Time Nonlinear MPC via Sequential Quadratic Programming with Structure-Exploiting ADMM and Interior-Point Methods for Underactuated Double-Pendulum Swing-Up

Aug 10, 2026

This work proposes an efficient real-time nonlinear model predictive control (NMPC) approach for the remote underactuated double pendulum system under unknown parameters and limited interaction time. By integrating a structure-exploiting alternating direction method of multipliers (ADMM) with an interior-point-accelerated sequential quadratic programming (SQP) solver, the method achieves global swing-up and stabilization without requiring prior model knowledge. The proposed framework is directly deployed on the CloudPendulum remote hardware platform, satisfying stringent real-time constraints while demonstrating strong robustness and disturbance rejection capabilities. Experimental results confirm its effectiveness in reliably achieving both swing-up and stable regulation of the double pendulum system.

0 citationsRead paper