Paper presentation @ IFIP/IEEE VLSI-SoC 2022

15/10/2022 VLSI-SoC 2022 (30th IFIP/IEEE International Conference on Very Large Scale Integration) finished yesterday with great success for ECSA lab. Georgios Flamis presented the paper entitled “FPGA-SoC deployment of complex deep neural network for magnitude and phase computations in denoising of speech signal” during the session “Artificial Intelligence and Machine Learning”. After the presentation Georgios…

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Summer School 2022 in Intelligent Cities

Intelligent Cities: Technologies and Services of Smart Information Systems (Summer School 2022) 6-7-8 June University of Peloponnese (Koukouli, University Campus, Room H2.02),9-10-11 June Conference Centre of University of Patras (Rio, University Campus, Room I.10) Tuesday 7 June, Lambros Bisdounis, “Modeling of CMOS primitive circuits and MOSFET devices operation for sub-50nm technologies”. Tuesday 7 June, Paris…

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Paper accepted @ IEEE ACCESS

25/02/2022 We are happy to announce that a member of our lab participated in a accepted paper at IEEE ACCESS journal (Ludwig Kapmel, Paris Kitsos and Dimitris Simos entitled “Locating Hardware Trojans Using Combinatorial Testing for Cryptographic Circuits“, IEEE Access, Vol. 10, pp: 18787 – 18806, 2022, DOI: 10.1109/ACCESS.2022.3151378). Please access the paper here: https://ieeexplore.ieee.org/document/9713898

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Paper accepted @ Electronics

14/01/2022 We are pleased to announce that our article “GAINESIS: Generative Artificial Intelligence NEtlists SynthesIS” by Konstantinos G. Liakos, Georgios K. Georgakilas, Fotis C. Plessas, Paris Kitsos, has been accepted for publication in Electronics, Vol. 11, No. 2, 2022 (https://www.mdpi.com/2079-9292/11/2/245). Please check this link, https://caslab.e-ce.uth.gr/ToolsandDatabases.html in order to get access to the free material of…

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FPGA Design Contest Participation

02/02/2022 Our lab members Georgios Flamis, Stavros Kalapothas and Paris Kitsos participate in InnovateFPGA Design Contest 2021-2022 (https://www.innovatefpga.com/portal/ ). Their proposed project “SoC design for enhanced keyword spotting applications with eliminated resources”, is aimed to deploy a combined Machine Learning (ML) system based on both FPGA and HPS units of DE10-Nano platform that will be…

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Paper accepted @ SEEDA-CECNSM 2021

02/09/2021 The paper entitled “Workflow on CNN utilization and inference in FPGA for embedded applications” by Georgios Flamis, Stavros Kalapothas and Paris Kitsos has been accepted for presentation in the SEEDA-CECNSM 2021. Please check our OPEN HARDWARE page in order to reproduce this work step by step.

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