Γνωστικό Αντικείμενο (ΦΕΚ): Μηχανική Μάθηση με εφαρμογές σε ενσωματωμένα συστήματα

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Σπουδές

2007 - Διδακτορικό Δίπλωμα, Department of Electrical Engineering, Mathematics and Computer Science, Delft University of Technology, The Netherlands

2003 - Μεταπτυχιακό Δίπλωμα Ειδίκευσης, Τμήμα Ηλεκτρονικών Μηχανικών και Μηχανικών Η/Υ, Πολυτεχνείο Κρήτης

2001 - Δίπλωμα Ηλεκτρονικού Μηχανικών και Μηχανικών Η/Υ, Πολυτεχνείο Κρήτης

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Ερευνητικά Ενδιαφέροντα

• Ψηφιακά συστήματα
• Ενσωματωμένα συστήματα
• Αναδιατασσόμενη Λογική (FPGA)
• Μηχανική Μάθηση (machine learning)
• Επιτάχυνση Υλικού (hardware acceleration)
• Υπολογιστικά Συστήματα Υψηλών επιδόσεων (HPC)

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Αντιπροσωπευτικές Δημοσιεύσεις

• 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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Προπτυχιακά μαθήματα

• EEE.3.4 “Σχεδίαση Ψηφιακών Συστημάτων”
• ΕΕΕ.4.2 "Αρχιτεκτονική  Υπολογιστικών Συστημάτων"

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Μεταπτυχιακά μαθήματα

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

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Βιογραφικό Σημείωμα