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dr.ir. N. Alachiotis (Nikolaos)

Assistant Professor

About Me

Nikolaos Alachiotis completed his undergraduate studies at the ECE department of the Technical University of Crete (Greece) and his Ph.D. at the Informatics department of the Technische Universität München (Germany) in 2008 and 2012, respectively. His research interests lie in the fields of computer architecture, parallel computing, reconfigurable computing, and Bioinformatics. He joined the Computer Architecture Lab at Carnegie Mellon University as a post-doctoral researcher in 2014, where he led the design of a generic acceleration architecture for 3D-stacked DRAMs (DARPA-funded PERFECT project). He joined the Computer Architecture and VLSI Systems Laboratory at FORTH-ICS in September 2016, where he worked on architecture design and hardware development for specialized acceleration in disaggregated datacenters (EU-funded dReDBox project). In June 2019, he joined the Telecommunications Systems Research Institute to work on automated generation of hardware-accelerated software for deployment on the cloud (EU-funded EDRA project). He is with the CAES group at UT since June 2020.

Expertise

Engineering & Materials Science
Data Storage Equipment
Dna
Field Programmable Gate Arrays (Fpga)
Genomics
Particle Accelerators
Phylogeny
Mathematics
Field Programmable Gate Array
Medicine & Life Sciences
Genome

Publications

Recent
Pfeifer, B., Voicu-Spineanu, A., Schimek, M. G. , & Alachiotis, N. (2022). Integrative hierarchical ensemble clustering for improved disease subtype discovery. In Y. Huang, L. Kurgan, F. Luo, X. T. Hu, Y. Chen, E. Dougherty, A. Kloczkowski, & Y. Li (Eds.), 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (pp. 720-725) https://doi.org/10.1109/BIBM52615.2021.9669608
Semagn, K., Iqbal, M. , Alachiotis, N., N’Diaye, A., Pozniak, C., & Spaner, D. (2021). Genetic diversity and selective sweeps in historical and modern Canadian spring wheat cultivars using the 90K SNP array. Scientific reports, 11(1), 1-16. [23773]. https://doi.org/10.1038/s41598-021-02666-5
Theodoropoulos, D., Brokalakis, A. , Alachiotis, N., & Pnevmatikatos, D. (2021). EDRA: A Hardware-assisted Decoupled Access/Execute Framework on the Digital Market. Paper presented at 2021 International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation, SAMOS XXI.
Alachiotis, N., Skrimponis, P., Pissadakis, M., & Pnevmatikatos, D. (2022). Scalable Phylogeny Reconstruction with Disaggregated Near-memory Processing. ACM Transactions on Reconfigurable Technology and Systems, 15(3), 1-32. [25]. https://doi.org/10.1145/3484983
Irmak, H. , Ziener, D. , & Alachiotis, N. (2021). Increasing Flexibility of FPGA-based CNN Accelerators with Dynamic Partial Reconfiguration. In 2021 31st International Conference on Field-Programmable Logic and Applications (FPL) (pp. 306-311). [9556462] IEEE EDS. https://doi.org/10.1109/FPL53798.2021.00061
Irmak, H. , Alachiotis, N. , & Ziener, D. (2021). An energy-efficient FPGA-based convolutional neural network implementation. In SIU 2021 - 29th IEEE Conference on Signal Processing and Communications Applications, Proceedings [9477823] IEEE. https://doi.org/10.1109/SIU53274.2021.9477823
Alachiotis, N., Brokalakis, A., Amourgianos, V., Ioannidis, S., Malakonakis, P., & Bokalidis, T. (2021). Accelerating Phylogenetics Using FPGAs in the Cloud. IEEE micro, 41(4), 24-30. [9416903]. https://doi.org/10.1109/MM.2021.3075848
Theodoris, C., Low, T. M., Pavlidis, P. , & Alachiotis, N. (2021). quickLD: An efficient software for linkage disequilibrium analyses. Molecular Ecology Resources, 21(7), 2580-2587. https://doi.org/10.1111/1755-0998.13438
Vasilarou, M. , Alachiotis, N., Garefalaki, J., Beloukas, A., & Pavlidis, P. (2021). Population Genomics Insights into the First Wave of COVID-19. Life, 11(2), 1-19. [129]. https://doi.org/10.3390/life11020129

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Contact Details

Visiting Address

University of Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling (building no. 11), room 5035
Hallenweg 19
7522NH  Enschede
The Netherlands

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Mailing Address

University of Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling  5035
P.O. Box 217
7500 AE Enschede
The Netherlands