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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Curriculum Vitae

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