T. Ahmad, Z. Al-Ars, H.P. Hofstee (2021), VC@Scale: Scalable and high-performance variant calling on cluster environments, In GigaScience p.1-13.

Jian Fang, Jianyu Chen, Jinho Lee, Zaid Al-Ars, Peter Hofstee (2020), An Efficient High-Throughput LZ77-Based Decompressor in Reconfigurable Logic, In Journal of Signal Processing Systems Volume 92 p.931-947.

Tanveer Ahmad, Nauman Ahmed, Johan Peltenburg, Zaid Al-Ars (2020), ArrowSAM: In-Memory Genomics Data Processing Using Apache Arrow, In 2020 3rd International Conference on Computer Applications & Information Security (ICCAIS) p.1-6, IEEE.

Tom Mokveld, Jasper Linthorst, Zaid Al-Ars, Henne Holstege, Marcel Reinders (2020), CHOP: Haplotype-aware path indexing in population graphs, In Genome biology Volume 21 p.1-16.

Luigi Pomante, Francesca Palumbo, Claudia Rinaldi, Giacomo Valente, Carlo Sau, Tiziana Fanni, Frank van der Linden, Twan Basten, Marc Geilen, Zaid Al-Ars, More Authors (2020), Design and management of image processing pipelines within CPS: 2 years of experience from the FitOptiVis ECSEL Project, L. O'Conner (Eds.), In 2020 23rd Euromicro Conference on Digital System Design (DSD) p.378-385, IEEE.

Nauman Ahmed, Koen Bertels, Zaid Al-Ars (2020), Efficient GPU Acceleration for Computing Maximal Exact Matches in Long DNA Reads, In ICBBB 2020 p.28-34, Association for Computing Machinery (ACM).

Rene Miedema, Georgios Smaragdos, Mario Negrello, Zaid Al-Ars, Matthias Moller, Christos Strydis (2020), FlexHH: A Flexible Hardware Library for Hodgkin-Huxley-Based Neural Simulations, In IEEE Access Volume 8 p.121905-121919.

Nauma Ahmed, Tong Dong Qiu, Koen Bertels, Zaid Al-Ars (2020), GPU acceleration of Darwin read overlapper for de novo assembly of long DNA reads, In BMC Bioinformatics Volume 21 p.1-17.

Baozhou Zhu, Zaid Al-Ars, H. Peter Hofstee (2020), NASB: Neural Architecture Search for Binary Convolutional Neural Networks, In 2020 International Joint Conference on Neural Networks, IJCNN 2020 - Proceedings p.1-8, IEEE.

Tanveer Ahmad, Nauman Ahmed, Zaid Al-Ars, H. Peter Hofstee (2020), Optimizing performance of GATK workflows using Apache Arrow In-Memory data framework, In BMC Genomics Volume 21 p.1-14.