[10/2025] [paper]
Our paper “Design and Optimization of Mixed-Kernel Mixed-Signal SVMs for Flexible Electronics” was accepted at DATE’26.
Our paper “Bespoke Co-processor for Energy-Efficient Health Monitoring on RISC-V-based Flexible Wearables” was accepted at DATE’26.
[10/2025] [Presentation]
Georgios Zervakis presented our work on IEEE ICCAD 2025 with title: “Invited Paper: Feature-to-Classifier Co-Design for Mixed-Signal Smart Flexible Wearables for Healthcare at the Extreme Edge”.
[08/2025] [paper]
Our paper “Exploration of Low-Power Flexible Stress Monitoring Classifiers for Conformal Wearables” was presented at ISLPED 2025 (Reykjavík, Iceland).
[07/2025] [Special Session]
Georgios Zervakis presented a special session on ISVLSI 2025 with title: “Repurposing EDA for Unlocking Emerging Technologies”.
[07/2025] [paper]
Our paper “Support Vector Machines Classification on Bendable RISC-V” was presented at ISVLSI 2025 (Kalamata, Greece).
[06/2025] [journal]
Our journal article “Arbitrary Precision Printed Ternary Neural Networks with Holistic Evolutionary Approximation” was accepted by IEEE Transactions on Circuits and Systems for Artificial Intelligence (TCAS-AI).
[05/2025] [Presentation]
Kostas Balaskas gave a presentation on IEEE ETS 2025 with title: “Holistic Bespoke Approximation for Printed ML Classifiers”.
[05/2025] [Special Session]
Our contribution “Printed and Flexible Electronics: From Design to Test” was presented at IEEE ETS 2025 (Tallinn, Estonia).
Georgios Zervakis presented our work on IEEE ISCAS 2025 with title: “Compact Yet Highly Accurate Printed Classifiers Using Sequential Support Vector Machine Circuits”.
[05/2025] [paper]
Our paper “Compact Yet Highly Accurate Printed Classifiers Using Sequential Support Vector Machine Circuits” was presented at ISCAS 2025 (London, UK).
[04/2025] [journal]
Our journal article “Enabling Printed Multilayer Perceptrons Realization via Area-Aware Neural Minimization” was published in IEEE Transactions on Computers, Vol. 74, Issue 4.
[04/2025] [paper]
Our paper “Function Approximation Using Analog Building Blocks in Flexible Electronics” was presented at ISQED 2025 (San Francisco, USA).
[04/2025] [Poster]
Georgios Zervakis presented our poster on IEEE DATE 2025 with title: “LBR: “Energy-Efficient Printed Machine Learning Classifiers with Sequential SVMs”.
Our Late-Breaking Results paper “Energy-Efficient Printed Machine Learning Classifiers with Sequential SVMs” was presented at DATE’25 (Lyon, France).
[01/2025] [Presentation]
Georgios Zervakis presented our work on IEEE DATE 2025 with title: “Sequential Printed Multilayer Perceptron Circuits for Super-TinyML Multi-Sensory Applications”.
[01/2025] [paper]
Our paper “Sequential Printed Multilayer Perceptron Circuits for Super-TinyML Multi-Sensory Applications” was presented at ASP-DAC 2025 (Tokyo Odaiba Miraikan, Japan).
Our paper “Design and In-training Optimization of Binary Search ADC for Flexible Classifiers” was presented at ASP-DAC 2025 (Tokyo Odaiba Miraikan, Japan).
[06/2024] [paper]
Our paper “Reducing ADC Front-end Costs During Training of On-sensor Printed Multilayer Perceptrons”, a collaboration with CDNC, KIT, is accepted by IEEE Embedded Systems Letters, ESWEEK, CASES LBR 2024 (CASES’24).
Our paper “Evolutionary Approximation of Ternary Neurons for On-sensor Printed Neural Networks”, a collaboration with CDNC @ KIT, AUTH,, Brno University of Technology and University of Michigan is accepted by IEEE/ACM International Conference on Computer Aided Design (ICCAD'24), New Jersey, US, 2024.
[04/2024] [Presentation]
Florentia Afentaki presented our work on IEEE DATE 2024 with title: “Embedding Hardware Approximations in Discrete Genetic-based Training for Printed MLPs”.
[12/2023] [keynote]
Our keynote talk "Printed Computing: Design Automation and Computing based on Additive Printed Electronics" has been presented at Smart-Plant IEEE Seasonal School 2024.
Smart-Plant was partially supported by AutoPNN
Our keynote talk "Approximate computing in neural networks" has been presented at Smart-Plant IEEE Seasonal School 2024.
[11/2023] [paper]
Our paper “On-sensor Printed Machine Learning Classification via Bespoke ADC and Decision Tree Co-Design”, a collaboration with CDNC, KIT, is accepted by Design Automation and Test in Europe 2024 Conference (DATE’24).
Our paper “Embedding Hardware Approximations in Discrete Genetic-based Training for Printed MLPs”, a collaboration with CDNC, KIT, is accepted by Design Automation and Test in Europe 2024 Conference (DATE’24).
[11/2023] [Presentation]
Florentia Afentaki presented our work on IEEE/ACM ICCAD 2023 with title: “Bespoke Approximation of Multiplication-Accumulation and Activation Targeting Printed Multilayer Perceptrons”.
Our paper “Bespoke Approximation of Multiplication-Accumulation and Activation Targeting Printed Multilayer Perceptrons”, a collaboration with CDNC, KIT, is presented by IEEE/ACM International Conference on Computer-Aided Design 2023 (ICCAD’23).
