A radiation tolerant and self-repair memory cell. - Nikolaos Eftaxiopoulos-Sarris; Georgios Zervakis 001; Kostas Tsoumanis; Kiamal Z. Pekmestzi (IOLTS, 2013)

A segmentation-based BISR scheme. - Georgios Zervakis 001; Nikolaos Eftaxiopoulos-Sarris; Kostas Tsoumanis; Nicholas Axelos; Kiamal Z. Pekmestzi (ASP-DAC, 2014)

High performance MAC designs. - Nikolaos Eftaxiopoulos-Sarris; Georgios Zervakis 001; Kiamal Z. Pekmestzi; Costas Efstathiou (IDT, 2014)

An independent dual gate SOI FinFET soft-error resilient memory cell. - Nikolaos Eftaxiopoulos-Sarris; Nicholas Axelos; Georgios Zervakis 001; Kostas Tsoumanis; Kiamal Z. Pekmestzi (IDT, 2014)

A high radix montgomery multiplier with concurrent error detection. - Georgios Zervakis 001; Nikolaos Eftaxiopoulos-Sarris; Kostas Tsoumanis; Nicholas Axelos; Kiamal Z. Pekmestzi (IDT, 2014)

FF-DICE: An 8T soft-error tolerant cell using Independent Dual Gate SOI FinFETs. - Nicholas Axelos; Nikolaos Eftaxiopoulos-Sarris; Georgios Zervakis 001; Kostas Tsoumanis; Kiamal Z. Pekmestzi (IOLTS, 2014)

Approximate Multiplier Architectures Through Partial Product Perforation: Power-Area Tradeoffs Analysis. - Georgios Zervakis 001; Kostas Tsoumanis; Sotirios Xydis; Nicholas Axelos; Kiamal Z. Pekmestzi (ACM Great Lakes Symposium on VLSI, 2015)

Hybrid approximate multiplier architectures for improved power-accuracy trade-offs. - Georgios Zervakis 001; Sotirios Xydis; Kostas Tsoumanis; Dimitrios Soudris; Kiamal Z. Pekmestzi (ISLPED, 2015)

Delta DICE: A Double Node Upset resilient latch. - Nikolaos Eftaxiopoulos; Nicholas Axelos; Georgios Zervakis 001; Kostas Tsoumanis; Kiamal Z. Pekmestzi (MWSCAS, 2015)

Performance-power exploration of software-defined big data analytics: The AEGLE cloud backend. - Georgios Zervakis 001; Sotirios Xydis; Dimitrios Soudris (SAMOS, 2016)

Pre-Encoded Multipliers Based on Non-Redundant Radix-4 Signed-Digit Encoding. - Kostas Tsoumanis; Nicholas Axelos; Nikolaos Moschopoulos; Georgios Zervakis 001; Kiamal Z. Pekmestzi (IEEE Trans. Computers, 2016)

Flexible DSP Accelerator Architecture Exploiting Carry-Save Arithmetic. - Kostas Tsoumanis; Sotirios Xydis; Georgios Zervakis 001; Kiamal Z. Pekmestzi (IEEE Trans. Very Large Scale Integr. Syst., 2016)

Design-Efficient Approximate Multiplication Circuits Through Partial Product Perforation. - Georgios Zervakis 001; Kostas Tsoumanis; Sotirios Xydis; Dimitrios Soudris; Kiamal Z. Pekmestzi (IEEE Trans. Very Large Scale Integr. Syst., 2016)

AEGLE's Cloud Infrastructure for Resource Monitoring and Containerized Accelerated Analytics. - Konstantina Koliogeorgi; Dimosthenis Masouros; Georgios Zervakis 001; Sotirios Xydis; Tobias Becker; Georgi Gaydadjiev; Dimitrios Soudris (ISVLSI, 2017)

Walking through the Energy-Error Pareto Frontier of Approximate Multipliers. - Vasileios Leon; Georgios Zervakis 001; Sotirios Xydis; Dimitrios Soudris; Kiamal Z. Pekmestzi (IEEE Micro, 2018)

Approximate Hybrid High Radix Encoding for Energy-Efficient Inexact Multipliers. - Vasileios Leon; Georgios Zervakis 001; Dimitrios Soudris; Kiamal Z. Pekmestzi (IEEE Trans. Very Large Scale Integr. Syst., 2018)

VOSsim: A Framework for Enabling Fast Voltage Overscaling Simulation for Approximate Computing Circuits. - Georgios Zervakis 001; Fotios Ntouskas; Sotirios Xydis; Dimitrios Soudris; Kiamal Z. Pekmestzi (IEEE Trans. Very Large Scale Integr. Syst., 2018)

A Design Flow Framework for Fully-Connected Neural Networks Rapid Prototyping. - Nikolaos Zompakis; Dimitrios Anagnostos; Konstantina Koliogeorgi; Georgios Zervakis 001; Kostas Siozios (COINS, 2019)

Co-design Implications of Cost-effective On-demand Acceleration for Cloud Healthcare Analytics: The AEGLE approach. - Dimosthenis Masouros; Konstantina Koliogeorgi; Georgios Zervakis 001; Alexandra Kosvyra; Achilleas Chytas; Sotirios Xydis; Ioanna Chouvarda; Dimitrios Soudris (DATE, 2019)

Optimizing SVM Classifier Through Approximate and High Level Synthesis Techniques. - Konstantina Koliogeorgi; Georgios Zervakis 001; Dimitrios Anagnostos; Nikolaos Zompakis; Kostas Siozios (MOCAST, 2019)

Multi-Level Approximate Accelerator Synthesis Under Voltage Island Constraints. - Georgios Zervakis 001; Sotirios Xydis; Dimitrios Soudris; Kiamal Z. Pekmestzi (IEEE Trans. Circuits Syst. II Express Briefs, 2019)

VADER: Voltage-Driven Netlist Pruning for Cross-Layer Approximate Arithmetic Circuits. - Georgios Zervakis 001; Konstantina Koliogeorgi; Dimitrios Anagnostos; Nikolaos Zompakis; Kostas Siozios (IEEE Trans. Very Large Scale Integr. Syst., 2019)

Design Automation of Approximate Circuits With Runtime Reconfigurable Accuracy. - Georgios Zervakis 001; Hussam Amrouch; Jörg Henkel (IEEE Access, 2020)

NPU Thermal Management. - Hussam Amrouch; Georgios Zervakis 001; Sami Salamin; Hammam Kattan; Iraklis Anagnostopoulos; Jörg Henkel (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020)

Weight-Oriented Approximation for Energy-Efficient Neural Network Inference Accelerators. - Zois-Gerasimos Tasoulas; Georgios Zervakis 001; Iraklis Anagnostopoulos; Hussam Amrouch; Jörg Henkel (IEEE Trans. Circuits Syst., 2020)

Approximate Computing for ML: State-of-the-art, Challenges and Visions. - Georgios Zervakis 001; Hassaan Saadat; Hussam Amrouch; Andreas Gerstlauer; Sri Parameswaran; Jörg Henkel (ASP-DAC, 2021)

Control Variate Approximation for DNN Accelerators. - Georgios Zervakis 001; Ourania Spantidi; Iraklis Anagnostopoulos; Hussam Amrouch; Jörg Henkel (DAC, 2021)

Reliability-Aware Quantization for Anti-Aging NPUs. - Sami Salamin; Georgios Zervakis 001; Ourania Spantidi; Iraklis Anagnostopoulos; Jörg Henkel; Hussam Amrouch (DATE, 2021)

FeFET and NCFET for Future Neural Networks: Visions and Opportunities. - Mikail Yayla; Kuan-Hsun Chen; Georgios Zervakis 001; Jörg Henkel; Jian-Jia Chen; Hussam Amrouch (DATE, 2021)

Positive/Negative Approximate Multipliers for DNN Accelerators. - Ourania Spantidi; Georgios Zervakis 001; Iraklis Anagnostopoulos; Hussam Amrouch; Jörg Henkel (ICCAD, 2021)

Impact of NCFET on Neural Network Accelerators. - Georgios Zervakis 001; Iraklis Anagnostopoulos; Sami Salamin; Yogesh Singh Chauhan; Jörg Henkel; Hussam Amrouch (IEEE Access, 2021)

Automated Design Approximation to Overcome Circuit Aging. - Konstantinos Balaskas; Georgios Zervakis 001; Hussam Amrouch; Jörg Henkel; Kostas Siozios (IEEE Trans. Circuits Syst. I Regul. Pap., 2021)

On the Resiliency of NCFET Circuits Against Voltage Over-Scaling. - Guilherme Paim; Georgios Zervakis 001; Girish Pahwa; Yogesh Singh Chauhan; Eduardo Antonio Cesar da Costa; Sergio Bampi; Jörg Henkel; Hussam Amrouch (IEEE Trans. Circuits Syst. I Regul. Pap., 2021)

PROTON: Post-Synthesis Ferroelectric Thickness Optimization for NCFET Circuits. - Sami Salamin; Georgios Zervakis 001; Yogesh Singh Chauhan; Jörg Henkel; Hussam Amrouch (IEEE Trans. Circuits Syst. I Regul. Pap., 2021)

Enabling Efficient Inference of Convolutional Neural Networks via Approximation. - Georgios Zervakis 001; Iraklis Anagnostopoulos; Hussam Amrouch; Jörg Henkel (Approximate Computing, 2022)

Cross-Layer Approximation For Printed Machine Learning Circuits. - Giorgos Armeniakos; Georgios Zervakis 001; Dimitrios Soudris; Mehdi B. Tahoori; Jörg Henkel (DATE, 2022)

Approximate Computing and the Efficient Machine Learning Expedition. - Jörg Henkel; Hai Li 001; Anand Raghunathan; Mehdi B. Tahoori; Swagath Venkataramani; Xiaoxuan Yang 001; Georgios Zervakis 001 (ICCAD, 2022)

Approximate Decision Trees For Machine Learning Classification on Tiny Printed Circuits. - Konstantinos Balaskas; Georgios Zervakis 001; Kostas Siozios; Mehdi B. Tahoori; Jörg Henkel (ISQED, 2022)

Impact of NCFET Technology on Eliminating the Cooling Cost and Boosting the Efficiency of Google TPU. - Sami Salamin; Georgios Zervakis 001; Florian Klemme; Hammam Kattan; Yogesh Singh Chauhan; Jörg Henkel; Hussam Amrouch (IEEE Trans. Computers, 2022)

Thermal-Aware Design for Approximate DNN Accelerators. - Georgios Zervakis 001; Iraklis Anagnostopoulos; Sami Salamin; Ourania Spantidi; Isai Roman-Ballesteros; Jörg Henkel; Hussam Amrouch (IEEE Trans. Computers, 2022)

Energy-Efficient DNN Inference on Approximate Accelerators Through Formal Property Exploration. - Ourania Spantidi; Georgios Zervakis 001; Iraklis Anagnostopoulos; Jörg Henkel (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022)

Variability-Aware Approximate Circuit Synthesis via Genetic Optimization. - Konstantinos Balaskas; Florian Klemme; Georgios Zervakis 001; Kostas Siozios; Hussam Amrouch; Jörg Henkel (IEEE Trans. Circuits Syst. I Regul. Pap., 2022)

Energy Efficient Edge Computing Enabled by Satisfaction Games and Approximate Computing. - Nafis Irtija; Iraklis Anagnostopoulos; Georgios Zervakis 001; Eirini-Eleni Tsiropoulou; Hussam Amrouch; Jörg Henkel (IEEE Trans. Green Commun. Netw., 2022)

Hardware-Aware Automated Neural Minimization for Printed Multilayer Perceptrons. - Argyris Kokkinis; Georgios Zervakis 001; Kostas Siozios; Mehdi B. Tahoori; Jörg Henkel (DATE, 2023)

Bespoke Approximation of Multiplication-Accumulation and Activation Targeting Printed Multilayer Perceptrons. - Florentia Afentaki; Gurol Saglam; Argyris Kokkinis; Kostas Siozios; Georgios Zervakis 001; Mehdi B. Tahoori (ICCAD, 2023)

Hardware Approximate Techniques for Deep Neural Network Accelerators: A Survey. - Giorgos Armeniakos; Georgios Zervakis 001; Dimitrios Soudris; Jörg Henkel (ACM Comput. Surv., 2023)

Targeting DNN Inference Via Efficient Utilization of Heterogeneous Precision DNN Accelerators. - Ourania Spantidi; Georgios Zervakis 001; Sami Alsalamin; Isai Roman-Ballesteros; Jörg Henkel; Hussam Amrouch; Iraklis Anagnostopoulos (IEEE Trans. Emerg. Top. Comput., 2023)

AdaPT: Fast Emulation of Approximate DNN Accelerators in PyTorch. - Dimitrios Danopoulos; Georgios Zervakis 001; Kostas Siozios; Dimitrios Soudris; Jörg Henkel (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023)

Co-Design of Approximate Multilayer Perceptron for Ultra-Resource Constrained Printed Circuits. - Giorgos Armeniakos; Georgios Zervakis 001; Dimitrios Soudris; Mehdi B. Tahoori; Jörg Henkel (IEEE Trans. Computers, 2023)

Model-to-Circuit Cross-Approximation For Printed Machine Learning Classifiers. - Giorgos Armeniakos; Georgios Zervakis 001; Dimitrios Soudris; Mehdi B. Tahoori; Jörg Henkel (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023)

Late Breaking Results: Language-level QoR modeling for High-Level Synthesis. - Dimosthenis Masouros; Aggelos Ferikoglou; Georgios Zervakis 001; Sotirios Xydis; Dimitrios Soudris (DAC, 2024)

Synthesis of Resource-Efficient Superconducting Circuits with Clock-Free Alternating Logic. - Jennifer Volk; Panagiotis Papanikolaou; Georgios Zervakis 001; Georgios Tzimpragos (DAC, 2024)

Embedding Hardware Approximations in Discrete Genetic-Based Training for Printed MLPs. - Florentia Afentaki; Michael Hefenbrock; Georgios Zervakis 001; Mehdi B. Tahoori (DATE, 2024)

On-Sensor Printed Machine Learning Classification via Bespoke ADC and Decision Tree Co-Design. - Giorgos Armeniakos; Paula L. Duarte; Priyanjana Pal; Georgios Zervakis 001; Mehdi B. Tahoori; Dimitrios Soudris (DATE, 2024)

Fault Sensitivity Analysis of Printed Bespoke Multilayer Perceptron Classifiers. - Priyanjana Pal; Florentia Afentaki; Haibin Zhao; Gurol Saglam; Michael Hefenbrock; Georgios Zervakis 001; Michael Beigl; Mehdi B. Tahoori (ETS, 2024)

Evolutionary Approximation of Ternary Neurons for On-sensor Printed Neural Networks. - Vojtech Mrazek; Argyris Kokkinis; Panagiotis Papanikolaou; Zdenek Vasícek; Kostas Siozios; Georgios Tzimpragos; Mehdi B. Tahoori; Georgios Zervakis 001 (ICCAD, 2024)

TransAxx: Efficient Transformers with Approximate Computing. - Dimitrios Danopoulos; Georgios Zervakis 001; Dimitrios Soudris; Jörg Henkel (CoRR, 2024)

Sequential Printed MLP Circuits for Super TinyML Multi-Sensory Applications. - Gurol Saglam; Florentia Afentaki; Georgios Zervakis 001; Mehdi B. Tahoori (CoRR, 2024)

Hardware-Aware DNN Compression via Diverse Pruning and Mixed-Precision Quantization. - Konstantinos Balaskas; Andreas Karatzas; Christos Sad; Kostas Siozios; Iraklis Anagnostopoulos; Georgios Zervakis 001; Jörg Henkel (IEEE Trans. Emerg. Top. Comput., 2024)

Reducing ADC Front-End Costs During Training of On-Sensor Printed Multilayer Perceptrons. - Florentia Afentaki; Paula Carolina Lozano Duarte; Georgios Zervakis 001; Mehdi B. Tahoori (IEEE Embed. Syst. Lett., 2024)

Design and In-training Optimization of Binary Search ADC for Flexible Classifiers. - Paula Carolina Lozano Duarte; Florentia Afentaki; Georgios Zervakis 001; Mehdi B. Tahoori (ASP-DAC, 2025)

Sequential Printed Multilayer Perceptron Circuits for Super-TinyML Multi-Sensory Applications. - Gurol Saglam; Florentia Afentaki; Georgios Zervakis 001; Mehdi B. Tahoori (ASP-DAC, 2025)

Late Breaking Results: Energy-Efficient Printed Machine Learning Classifiers with Sequential SVMs. - Spyridon Besias; Ilias Sertaridis; Florentia Afentaki; Konstantinos Balaskas; Georgios Zervakis 001 (DATE, 2025)

Late Breaking Results: Leveraging Approximate Computing for Carbon-Aware DNN Accelerators. - Aikaterini Maria Panteleaki; Konstantinos Balaskas; Georgios Zervakis 001; Hussam Amrouch; Iraklis Anagnostopoulos (DATE, 2025)

Computing with Printed and Flexible Electronics. - Mehdi B. Tahoori; Emre Ozer; Georgios Zervakis 001; Konstantinos Balaskas; Priyanjana Pal (ETS, 2025)

Leveraging Image Difficulty for Run-Time Adaptive DNN Inference on Embedded Devices. - Vasileios Pentsos; Ourania Spantidi; Georgios Zervakis 001; Iraklis Anagnostopoulos (ISCAS, 2025)

Compact Yet Highly Accurate Printed Classifiers Using Sequential Support Vector Machine Circuits. - Ilias Sertaridis; Spyridon Besias; Florentia Afentaki; Konstantinos Balaskas; Georgios Zervakis 001 (ISCAS, 2025)

Approximate Multiplier Mapping for Unfairness Mitigation in Energy-Efficient DNNs. - Ourania Spantidi; Georgios Zervakis 001; Jörg Henkel; Iraklis Anagnostopoulos (ISCAS, 2025)

Function Approximation Using Analog Building Blocks in Flexible Electronics. - Paula Carolina Lozano Duarte; Aradhana Dube; Georgios Zervakis 001; Mehdi B. Tahoori; Sani R. Nassif (ISQED, 2025)

Carbon-Efficient 3D DNN Acceleration: Optimizing Performance and Sustainability. - Aikaterini Maria Panteleaki; Konstantinos Balaskas; Georgios Zervakis 001; Hussam Amrouch; Iraklis Anagnostopoulos (ISVLSI, 2025)

Support Vector Machines Classification on Bendable RISC-V. - Polykarpos Vergos; Theofanis Vergos; Florentia Afentaki; Konstantinos Balaskas; Georgios Zervakis 001 (ISVLSI, 2025)

Leveraging DVFS for Energy-Efficient and QoS-aware Edge Video Analytics. - Ioannis Loudaros; Georgios Zervakis 001; Dimitrios Soudris; Dimosthenis Masouros (MECC@EuroSys, 2025)

Leveraging Highly Approximated Multipliers in DNN Inference. - Georgios Zervakis 001; Fabio Frustaci; Ourania Spantidi; Iraklis Anagnostopoulos; Hussam Amrouch; Jörg Henkel (IEEE Access, 2025)

Enabling Printed Multilayer Perceptrons Realization via Area-Aware Neural Minimization. - Argyris Kokkinis; Georgios Zervakis 001; Kostas Siozios; Mehdi Baradaran Tahoori; Jörg Henkel (IEEE Trans. Computers, 2025)