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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
Ridder, F. , Chen, K.-H. , & Alachiotis, N. (2024). Accelerated Real-Time Classification of Evolving Data Streams using Adaptive Random Forests. In 2023 International Conference on Field Programmable Technology (ICFPT) (pp. 232-237). Article 10416141 IEEE. https://doi.org/10.1109/ICFPT59805.2023.00031
Haarman, T., Sousa de Almeida, A. J., Heskes, A. , Zwanenburg, F. A. , & Alachiotis, N. (2024). FPGA-accelerated Quantum Transport Measurements. In 2023 International Conference on Field Programmable Technology (ICFPT) (pp. 44-52). IEEE. https://doi.org/10.1109/ICFPT59805.2023.00010
Corts, R. , & Alachiotis, N. (2023). A Survey of Processing Systems for Phylogenetics and Population Genetics. ACM Transactions on Reconfigurable Technology and Systems, 16(3), 1-27. https://doi.org/10.1145/3588033
Zhao, H., Souilljee, M., Pavlidis, P. , & Alachiotis, N. (2023). Genome-wide scans for selective sweeps using convolutional neural networks. Bioinformatics, 39(Supplement1), i194-i203. https://doi.org/10.1093/bioinformatics/btad265
Zhao, H., Pavlidis, P. , & Alachiotis, N. (2023). SweepNet: A Lightweight CNN Architecture for the Classification of Adaptive Genomic Regions. In PASC '23: Proceedings of the Platform for Advanced Scientific Computing Conference (pp. 1-10). Article 12 ACM Press. https://doi.org/10.1145/3592979.3593411
Uchoa, H., Arora, V., Vermoen, D. , Ottavi, M. , & Alachiotis, N. (2023). Exploring Genomic Sequence Alignment for Improving Side-Channel Analysis. In G. Tsudik, M. Conti, K. Liang, & G. Smaragdakis (Eds.), Computer Security – ESORICS 2023: 28th European Symposium on Research in Computer Security, The Hague, The Netherlands, September 25–29, 2023, Proceedings, Part III (pp. 203-221). (Lecture Notes in Computer Science; Vol. 14346). Springer. https://doi.org/10.1007/978-3-031-51479-1
Hawliczek, A., Borzecka, E., Tofil, K. , Alachiotis, N., Bolibok, L., Gawroński, P., Siekmann, D., Hackauf, B., Dušinsk, R., Švec, M., & Bolibok-Bragoszewska, H. (2023). Selective sweeps identification in distinct groups of cultivated rye (Secale cereale L.) germplasm provides potential candidate genes for crop improvement. BMC Plant Biology, 23, 1-17. Article 323. Advance online publication. https://doi.org/10.1186/s12870-023-04337-1
Zhao, H. , & Alachiotis, N. (2023). Effective Data Preprocessing Techniques for CNN-based Selective Sweep Detection. In 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (pp. 793-800). Article 10385303 (IEEE International Conference on Bioinformatics and Biomedicine (BIBM); Vol. 2023). IEEE. https://doi.org/10.1109/BIBM58861.2023.10385303
Böhmer, K., Forlin, B., Cazzaniga, C., Rech, P., Furano, G. , Alachiotis, N. , & Ottavi, M. (2023). Neutron Radiation Tests of the NEORV32 RISC-V SoC on Flash-Based FPGAs. In L. Cassano, M. Psarakis, M. Traiola, & A. Bosio (Eds.), 36th IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems, DFT 2023 (Proceedings - IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems, DFT; Vol. 36). IEEE. https://doi.org/10.1109/DFT59622.2023.10313556
Forlin, B. E., van Huffelen, W., Cazzaniga, C., Rech, P. , Alachiotis, N. , & Ottavi, M. (2023). An unprotected RISC-V Soft-core processor on an SRAM FPGA: Is it as bad as it sounds? In Proceedings - 2023 IEEE European Test Symposium, ETS 2023 (Proceedings IEEE European Test Symposium (ETS); Vol. 2023). IEEE. https://doi.org/10.1109/ETS56758.2023.10174076

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Courses Academic Year  2023/2024

Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.
 

Courses Academic Year  2022/2023

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