Christoforos Kachris

kachris ch

Office: ΖΒ101, Building Ζ, Ancient Olive Grove Campus

Telephone: +30 210 538-1657

Lab: Electronics and Computer Technologies Lab (ECTLab)

ZB112, Building Ζ, Ancient Olive Grove Campus

Lab phone:

e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

Website: https://users.uniwa.gr/kachris/

Google Scholar: https://scholar.google.com/citations?user=apb9IMUAAAAJ&hl=en

Scopus: https://www.scopus.com/authid/detail.uri?authorId=35605451500

Research Gate: https://www.researchgate.net/profile/Christoforos-Kachris

Office hours: Monday 14.00 - 16.00

Discipline:

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Studies

2007 - Ph.D. Department of Electrical Engineering, Mathematics and Computer Science, Delft University of Technology, The Netherlands

2003 - M.Sc. in Electronic and Computer Engineering, Technical University of Crete

2001 - Diploma in Electronic and Computer Engineering, Technical University of Crete

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Research Interests

Digital design
Machine Learning
Embedded Systems
Hardware acceleration
Reconfigurable Computing (FPGAs)
High Performance Computing using FPGAs

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Selected Publications

C. Kardaris, C. Kachris, D. Soudris, A high-performance FPGA architecture for Acceleration of SVM Machine Learning Training, 2022 Panhellenic Conference on Electronics & Telecommunications (PACET), pp. 1-6
G. Tzanos, C. Kachris, D. Soudris, Hardware Acceleration of Transformer Networks using FPGAs, 2022 Panhellenic Conference on Electronics & Telecommunications (PACET), pp. 1-5
D. Danopoulos, K. Anagnostopoulos, C. Kachris, D. Soudris, FPGA Acceleration of Generative Adversarial Networks for Image Reconstruction, 10th International Conference on Circuits and Systems Technologies (MOCAST 2021), September 2021
D. Danopoulos, C. Kachris, D. Soudris Covid4HPC: A Fast and Accurate Solution for Covid Detection in the Cloud using X-Rays, International Symposium on Applied Reconfigurable Computing (ARC), July 2021
D. Danopoulos, C. Kachris, D. Soudris, Utilizing Cloud FPGAs towards the Open Neural Network Standard, 11th IEEE International Green and Sustainable Computing Conference (IGSC 2020), October 2020
A. Zoulkarni, C. Kachris, D. Soudris, Hardware Acceleration of Decision Tree Learning Algorithm, International Conference on Modern Circuits and Systems Technologies (MOCAST) on Electronics and Communications, MOCAST 2019, Bremen, Germany, May 2020 (Best Paper Award nomination)
D. Danopoulos, C. Kachris, D. Soudris, Automatic Generation of FPGA Kernels From Open Format CNN Models, The 28th IEEE International Symposium on Field-Programmable Custom Computing Machines, FCCM 2020, Fayetteville, Arkansas, USA, May 2020
D. Danopoulos, C. Kachris, D. Soudris, Approximate Similarity Search with FAISS framework using FPGAs on the cloud, International Conference on Embedded Computer Systems, Architecture Modeling and Simulation (SAMOS), July 7-11 2019, Samos Greece
D. Danopoulos, C. Kachris, D. Soudris, FPGA Acceleration of Approximate KNN Indexing on High-Dimensional Vectors, 14th International Symposium on Reconfigurable Communication-centric Systems-on-Chip (ReCoSoC 2019), July 1-3 2019, York - United Kingdom
G. Tzanos, C. Kachris, D. Soudris, Hardware Acceleration on Gaussian Naive Bayes Machine Learning Algorithm, International Conference on Modern Circuits and Systems Technologies (MOCAST) on Electronics and Communications, MOCAST 2019, May 2019, Greece
E. Koromilas, C. Kachris, D. Soudris, FJ. Ballesteros, P. Martinez, Modular FPGA Acceleration of Data Analytics in Heterogenous Computing, 2019 Design, Automation & Test in Europe Conference & Exhibition (DATE), 626-629
I. Stamelos, E. Koromilas, C. Kachris, D. Soudris, A Novel Framework for the Seamless Integration of FPGA Accelerators with Big Data Analytics Frameworks in Heterogeneous Data Centers, 2018 International Conference on High Performance Computing & Simulation (HPCS), pp. 539-545., 2018
D. Danopoulos, C. Kachris, D. Soudris, Acceleration of image classification with Caffe framework using FPGA, 2018 7th International Conference on Modern Circuits and Systems Technologies (MOCAST), May 2018
K Katsantonis, C Kachris, D Soudris, Efficient Hardware Acceleration of Recommendation Engines: A Use Case on Collaborative Filtering, Applied Reconfigurable Computing, ARC April 2018
C Kachris, I Stamelos, E Koromilas, D Soudris, Seamless FPGA Deployment over Spark in Cloud Computing: A Use Case on Machine Learning Hardware Acceleration, Applied Reconfigurable Computing, ARC April 2018

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Undergraduate courses

EEE.3.4 “Digital Systems Design”
ΕΕΕ.4.2 "Computer Systems Architecture"

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Postgraduate courses

M.Sc. Artificial Intelligence & Deep Learning: Data Centers and Infrastructure for supporting AI

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