Fast and accurate BER estimation methodology for I/O links based on extreme value theory. - Alessandro Cevrero; Nestor E. Evmorfopoulos; Charalampos Antoniadis; Paolo Ienne; Yusuf Leblebici; Andreas Burg 001; Georgios I. Stamoulis (DATE, 2013)

TKtimer: fast & accurate clock network pessimism removal. - Christos Kalonakis; Charalampos Antoniadis; Panagiotis Giannakou; Dimos Dioudis; Georgios Pinitas; Georgios I. Stamoulis (ICCAD, 2014)

On the statistical memory architecture exploration and optimization. - Charalampos Antoniadis; Georgios Karakonstantis; Nestor E. Evmorfopoulos; Andreas Peter Burg; George I. Stamoulis (DATE, 2015)

EVT-based worst case delay estimation under process variation. - Charalampos Antoniadis; Dimitrios Garyfallou; Nestor E. Evmorfopoulos; Georgios I. Stamoulis (DATE, 2018)

On the Sparsification of the Reluctance Matrix in RLCk Circuit Transient Analysis. - Charalampos Antoniadis; Nestor E. Evmorfopoulos; Georgios I. Stamoulis (SMACD, 2018)

Efficient sparsification of dense circuit matrices in model order reduction. - Charalampos Antoniadis; Nestor E. Evmorfopoulos; Georgios I. Stamoulis (ASP-DAC, 2019)

A Rigorous Approach for the Sparsification of Dense Matrices in Model Order Reduction of RLC Circuits. - Charalampos Antoniadis; Nestor E. Evmorfopoulos; Georgios I. Stamoulis (DAC, 2019)

Efficient Linear System Solution Techniques in the Simulation of Large Dense Mutually Inductive Circuits. - Charalampos Antoniadis; Milan Mihajlovic; Nestor E. Evmorfopoulos; Georgios I. Stamoulis; Vasilis F. Pavlidis (ICCD, 2019)

A Sparsity-Aware MOR Methodology for Fast and Accurate Timing Analysis of VLSI Interconnects. - Dimitrios Garyfallou; Charalampos Antoniadis; Nestor E. Evmorfopoulos; Georgios I. Stamoulis (SMACD, 2019)

Graph-Based Sparsification and Synthesis of Dense Matrices in the Reduction of RLC Circuits. - Charalampos Antoniadis; Nestor E. Evmorfopoulos; Georgios I. Stamoulis (IEEE Trans. Very Large Scale Integr. Syst., 2021)

Gate Delay Estimation With Library Compatible Current Source Models and Effective Capacitance. - Dimitrios Garyfallou; Stavros Simoglou; Nikolaos Sketopoulos; Charalampos Antoniadis; Christos P. Sotiriou; Nestor E. Evmorfopoulos; George I. Stamoulis (IEEE Trans. Very Large Scale Integr. Syst., 2021)

A Centralized Multi-String PV System Control with Multi-Dimensional MPPT Control. - Imran Pervez; Charalampos Antoniadis; Hakim Ghazzai; Yehia Massoud (APCCAS, 2022)

Leveraging Machine Learning for Gate-level Timing Estimation Using Current Source Models and Effective Capacitance. - Dimitrios Garyfallou; Anastasis Vagenas; Charalampos Antoniadis; Yehia Massoud; George I. Stamoulis (ACM Great Lakes Symposium on VLSI, 2022)

A Novel Approach to the Maximum Peak Power Tracking under Partial Shading conditions. - Imran Pervez; Charalampos Antoniadis; Yehia Massoud (ISCAS, 2022)

Audio-visual Speaker Diarization: Improved Voice Activity Detection with CNN based Feature Extraction. - Konstantinos Fanaras; Antonios Tragoudaras; Charalampos Antoniadis; Yehia Massoud (MWSCAS, 2022)

A Dense Explorative ElectroStatic Discharge optimization Algorithm for Photovoltaic Parameters Estimation. - Imran Pervez; Charalampos Antoniadis; Yehia Massoud (MWSCAS, 2022)

A Reduced Search Space Exploration Metaheuristic Algorithm for MPPT. - Imran Pervez; Charalampos Antoniadis; Yehia Massoud (IEEE Access, 2022)

Low Power Hardware Architecture for Sampling-free Bayesian Neural Networks inference. - Antonios-Kyrillos Chatzimichail; Charalampos Antoniadis; Nikolaos Bellas; Yehia Massoud (ISCAS, 2023)

Enhanced sgRNA On-Target Cleavage Efficacy Prediction using Conditional GANs. - Konstantinos Fanaras; Charalampos Antoniadis; Yehia Massoud (ISCAS, 2023)

An ElectroStatic Discharge Algorithm for Electric Vehicle Li Ion Battery Parameters Estimation. - Imran Pervez; Charalampos Antoniadis; Hakim Ghazzai; Yehia Massoud (ISCAS, 2023)

A Modified Bat Algorithm with Reduced Search Space Exploration for MPPT under Dynamic Partial Shading Conditions. - Imran Pervez; Charalampos Antoniadis; Hakim Ghazzai; Yehia Massoud (ISCAS, 2023)

TinyML for EEG Decoding on Microcontrollers. - Antonios Tragoudaras; Charalampos Antoniadis; Yehia Massoud (ISCAS, 2023)

Data-Driven Offline Optimization of Deep CNN models for EEG and ECoG Decoding. - Antonios Tragoudaras; Konstantinos Fanaras; Charalampos Antoniadis; Yehia Massoud (ISCAS, 2023)

Solar-Powered Vehicle-to-Load (V2L) Plug-in Electric Vehicles: Alleviation of the Photovoltaic Power Decay. - Imran Pervez; Charalampos Antoniadis; Hakim Ghazzai; Yehia Massoud (SM, 2023)

Enhancing DNN Models for EEG/ECoG BCI With a Novel Data-Driven Offline Optimization Method. - Antonios Tragoudaras; Charalampos Antoniadis; Yehia Massoud (IEEE Access, 2023)

Best Memory Architecture Exploration under Parameters Variations accelerated with Machine Learning. - Antonios Tragoudaras; Charalampos Antoniadis; Yehia Massoud (CoRR, 2023)

Annotated 3D Point Cloud Dataset for Traffic Management in Simulated Urban Intersections. - Elham Binshaflout; Chaima Zaghouani; Nawfal Guefrachi; Charalampos Antoniadis; Hakim Ghazzai; Ahmad Alsharoa; Gianluca Setti (ISCAS, 2025)

Road-Intersec-Traffic. - Elham Binshaflout; Chaima Zaghouani; Nawfal Guefrachi; Charalampos Antoniadis; Hakim Ghazzai; Ahmad Alsharoa; Gianluca Setti (IEEE DataPort, 2025)

Unsupervised Transcript-assisted Video Summarization and Highlight Detection. - Spyros Barbakos; Charalampos Antoniadis; Gerasimos Potamianos; Gianluca Setti (CoRR, 2025)