Publications

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White Paper

G. Zervakis, "AutoPNN: Automated Printed Neural Network Design" White Paper, 2025. [pdf]

Journals:

[J1] V. Mrazek, K. Balaskas, P. C. L. Duarte, Z. Vasicek, M. B. Tahoori, and G. Zervakis, "Arbitrary Precision Printed Ternary Neural Networks with Holistic Evolutionary Approximation," in IEEE Transactions on Circuits and Systems for Artificial Intelligence, 2025. [pdf] [github]

[J2] A. Kokkinis, G. Zervakis, K. Siozios, M. B. Tahoori, and J. Henkel “Enabling Printed Multilayer Perceptrons Realization via Area-Aware Neural Minimization”, in Transactions on Computers, 2025 doi: 10.1109/TC.2024.3524076. [pdf] [github]

[J3] F. Afentaki, P. C. Lozano Duarte, G. Zervakis, and M.B. Tahoori, "Reducing ADC Front-end Costs During Training of On-sensor Printed Multilayer Perceptrons," in IEEE Embedded Systems Letters, ESWEEK, CASES LBR 2024, Raleigh NC USA, 2024, doi: 10.1109/LES.2024.3447412. [pdf] [github]

Conferences:

[C1] F. Afentaki, M. Shatta, K. Balaskas, G. Panagopoulos, G. Zervakis, and M. B. Tahoori, "Design and Optimization of Mixed-Kernel Mixed-Signal SVMs for Flexible Electronics," in IEEE Design, Automation and Test in Europe (DATE'26), 2026. [pdf]

[C2] T. Vergos, P. Vergos, M. B. Tahoori, and G. Zervakis, "Bespoke Co-processor for Energy-Efficient Health Monitoring on RISC-V-based Flexible Wearables," in IEEE Design, Automation and Test in Europe (DATE'26), 2026. [pdf]

[C3] M. Shatta, K. Balaskas, P. C. L. Duarte, G. Panagopoulos, M. B. Tahoori, and G. Zervakis, "Invited Paper: Feature-to-Classifier Co-Design for Mixed-Signal Smart Flexible Wearables for Healthcare at the Extreme Edge," in IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 2025. [pdf]

[C4] F. Afentaki, S. S. R. Nakkilla, K. Balaskas, P. C. L. Duarte, S. Jiang, G. Zervakis, F. Firouzi, K. Chakrabarty, and M. B. Tahoori, "Exploration of Low-Power Flexible Stress Monitoring Classifiers for Conformal Wearables," in IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED), Reykjavik, Iceland, 2025. [pdf]

[C5] P. Vergos, T. Vergos, F. Afentaki, K. Balaskas, and G. Zervakis, "Support Vector Machines Classification on Bendable RISC-V," in 2025 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), Kalamata, Greece, 2025. [pdf]

[C6] M. B. Tahoori, E. Ozer, G. Zervakis, K. Balaskas, and P. Pal, "Computing with Printed and Flexible Electronics," in IEEE European Test Symposium (ETS), Tallinn, Estonia, 2025. [pdf]

[C7] S. Besias, I. Sertaridis, F. Afentaki, K. Balaskas, and G. Zervakis, "Late Breaking Results: Energy-Efficient Printed Machine Learning Classifiers with Sequential SVMs," in Design, Automation and Test in Europe (DATE'25), Late-Breaking Results, Lyon, France, 2025. [pdf]

[C8] I. Sertaridis, S. Besias, F. Afentaki, K. Balaskas, and G. Zervakis, "Compact Yet Highly Accurate Printed Classifiers Using Sequential Support Vector Machine Circuits," in IEEE International Symposium on Circuits and Systems (ISCAS), London, UK, 2025, doi: 10.1109/ISCAS56072.2025.11043485. [pdf] [github]

[C9] P. C. Lozano Duarte, A. Dube, G. Zervakis, M. B. Tahoori, and S. Nassif, "Function Approximation Using Analog Building Blocks in Flexible Electronics," in International Symposium on Quality Electronic Design (ISQED'25), San Francisco, CA, USA, 2025, doi: 10.1109/ISQED65160.2025.11014355. [pdf]

[C10] P. C. Lozano Duarte, F. Afentaki, G. Zervakis and M. B. Tahoori, "Design and In-training Optimization of Binary Search ADC for Flexible Classifiers," in 2025 IEEE 30th Asia and South Pacific Design Automation Conference (ASP-DAC'25), Tokyo Odaiba Miraikan, Japan, January 20-23, 2025, doi: 10.1145/3658617.3697715. [pdf]

[C11] G. Saglam, F. Afentaki, G. Zervakis and M. B. Tahoori, "Sequential Printed Multilayer Perceptron Circuits for Super-TinyML Multi-Sensory Applications," in 2025 IEEE 30th Asia and South Pacific Design Automation Conference (ASP-DAC'25), Tokyo Odaiba Miraikan, Japan, January 20-23, 2025, doi: 10.1145/3658617.3697634. [pdf]

[C12] M. Mrazek, A. Kokkinis, P. Papanikolaou, Z. Vasicek, K. Siozios, G. Tzimpragos, M. B. Tahoori and G. Zervakis, "Evolutionary Approximation of Ternary Neurons for On-sensor Printed Neural Networks," in 2024 IEEE/ACM International Conference on Computer Aided Design (ICCAD'24), New Jersey, US, October 27 - 31, 2024, doi: 10.1145/3676536.3676728. [pdf]

[C13] P. Pal, F. Afentaki, H. Zhao, G. Saglam, M. Hefenbrock, G. Zervakis, M. Beigl and M. B. Tahoori, "Fault Sensitivity Analysis of Printed Bespoke Multilayer Perceptron Classifiers" in 29th IEEE European Test Symposium (ETS'24), Hague, Netherlands, 20 - 24 May, 2024 doi: 10.1109/ETS61313.2024.10567964. [pdf] [github]

[C14] G. Armeniakos, P. C. Lozano Duarte, P. Pal, G. Zervakis and M. B. Tahoori, "On-sensor Printed Machine Learning Classification via Bespoke ADC and Decision Tree Co-Design," in IEEE Design Automation & Test in Europe 2024 Conference (DATE'24), Valencia, Spain, 25 - 27 March, 2024, doi: 10.23919/DATE58400.2024.10546585. [pdf] [github]

[C15] F. Afentaki, M. Hefenbrock, G. Zervakis and M. B. Tahoori, "Embedding Hardware Approximations in Discrete Genetic-based Training for Printed MLPs," in IEEE Design Automation & Test in Europe 2024 Conference (DATE'24), Valencia, Spain, 25 - 27 March, 2024, doi: 10.23919/DATE58400.2024.10546879. [pdf] [github]

[C16] F. Afentaki, G. Saglam, A. Kokkinis, K. Siozios, G. Zervakis and M. B. Tahoori, "Bespoke Approximation of Multiplication-Accumulation and Activation Targeting Printed Multilayer Perceptrons," in IEEE/ACM International Conference on Computer Aided Design (ICCAD), San Francisco, CA, USA, 2023, doi: 10.1109/ICCAD57390.2023.10323613. [pdf] [github]

Related Work

G. Armeniakos, G. Zervakis, D. Soudris, M. B. Tahoori, and J. Henkel, “Co-design of approximate multilayer perceptron for ultra-resource constrained printed circuits,” IEEE Trans. Computers, vol. 72, no. 9, pp. 2717–2725, 2023, doi: 10.1109/TC.2023.3251863. [github]

G. Armeniakos, G. Zervakis, D. Soudris, M. B. Tahoori, and J. Henkel, “Model-to-Circuit Cross-Approximation For Printed Machine Learning Classifiers,” IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., pp. 1-1, 2023, doi: 10.1109/TCAD.2023.3258668. [github]

K. Balaskas, G. Zervakis, K. Siozios, M. B. Tahoori, and J. Henkel, “Approximate decision trees for machine learning classification on tiny printed circuits,” in 23rd international symposium on quality electronic design, ISQED 2022, santa clara, CA, USA, april 6-7, 2022, IEEE, 2022, pp. 1–6. doi: 10.1109/ISQED54688.2022.9806213.

G. Armeniakos, G. Zervakis, D. Soudris, M. B. Tahoori, and J. Henkel, “Cross-layer approximation for printed machine learning circuits,” in 2022 Design, Automation & Test in Europe Conference & Exhibition, DATE 2022, Antwerp, Belgium, March 14-23, 2022, pp. 190–195. doi: 10.23919/DATE54114.2022.9774689. [github]

J. Henkel, H. Li, A. Raghunathan, M. B. Tahoori, S. Venkataramani, X. Yang, and G. Zervakis, “Approximate computing and the efficient machine learning expedition,” in Proceedings of the 41st IEEE/ACM international conference on computer-aided design, ICCAD 2022, san diego, california, USA, 30 october 2022 - 3 november 2022, pp. 80:1–80:9. doi: 10.1145/3508352.3561105.

D. D. Weller et al., "Printed Stochastic Computing Neural Networks," in 2021 Design, Automation & Test in Europe Conference & Exhibition (DATE), Grenoble, France, 2021, pp. 914-919, doi: 10.23919/DATE51398.2021.9474254 .

N. Bleier, M. H. Mubarik, F. Rasheed, J. Aghassi-Hagmann, M. B. Tahoori and R. Kumar, "Printed Microprocessors," in ACM/IEEE 47th Annual International Symposium on Computer Architecture (ISCA), Valencia, Spain, 2020, pp. 213-226, doi: 10.1109/ISCA45697.2020.00028.

M. H. Mubarik et al., "Printed Machine Learning Classifiers," in 53rd Annual IEEE/ACM International Symposium on Microarchitecture (MICRO), Athens, Greece, 2020, pp. 73-87, doi: 10.1109/MICRO50266.2020.00019.

D. Weller, G. Cadilha Marques, J. Aghassi-Hagmann and M. B. Tahoori, "An Inkjet-Printed Low-Voltage Latch Based on Inorganic Electrolyte-Gated Transistors," in IEEE Electron Device Letters, 2018, vol. 39, no. 6, pp. 831-834, June 2018, doi: 10.1109/LED.2018.2826361.