Joost Hoozemans, Rob de Jong, Steven van der Vlugt, Jeroen Van Straten, Uttam Kumar Elango, Zaid Al-Ars (2019), Frame-based Programming, Stream-Based Processing for Medical Image Processing Applications, In Journal of Signal Processing Systems Volume 91 p.47-59.

Nauman Ahmed, Jonathan Lévy, Shanshan Ren, Hamid Mushtaq, Koen Bertels, Zaid Al-Ars (2019), GASAL2: a GPU accelerated sequence alignment library for high-throughput NGS data, In BMC Bioinformatics Volume 20 p.1-20.

Shanshan Ren, Nauman Ahmed, Koen Bertels, Zaid Al-Ars (2019), GPU Accelerated Sequence Alignment with Trace-back for GATK HaplotypeCaller, In BMC Genomics Volume 20 p.103-116.

Giuseppe Correale, Gianluca Cerrone, Zaid Al-Ars, Koen Bertels (2019), Increase quantum computing technology readiness level through experimentation in space, 70th International Astronautical Congress, IAC 2019.

Helmi Helmiriawan, Zaid Al-Ars (2019), Multi-target Regression Approach for Predictive Maintenance in Oil Refineries using Deep Learning, In International Journal of Neural Networks and Advanced Applications Volume 6 p.18-24.

Jian Fang, Jianyu Chen, Jinho Lee, Zaid Al-Ars, H. Peter Hofstee (2019), Refine and recycle: A method to increase decompression parallelism, In 2019 IEEE 30th International Conference on Application-specific Systems, Architectures and Processors (ASAP) p.272-280, IEEE.

Hamid Mushtaq, Nauman Ahmed, Zaid Al-Ars (2019), SparkGA2: Production-quality memory-efficient Apache Spark based genome analysis framework, In PLoS ONE Volume 14 p.1-14.

Tudor Alexandru Voicu, Zaid Al-Ars (2019), SparkJNI: A Toolchain for Hardware Accelerated Big Data Apache Spark, Sheng-Uei Guan, Kang Zhang, Jiannong Cao (Eds.), In 2019 4th IEEE International Conference on Big Data Analytics, ICBDA 2019 p.152-157, IEEE.

Johan Peltenburg, Jeroen van Straten, Matthijs Brobbel, H. Peter Hofstee, Zaid Al-Ars (2019), Supporting Columnar In-memory Formats on FPGA: The Hardware Design of Fletcher for Apache Arrow, Christian Hochberger, Andreas Koch, Pedro Diniz, Roger Woods, Brent Nelson (Eds.), In Applied Reconfigurable Computing p.32-47, Springer.

Zaid Al-Ars, Twan Basten, Ad de Beer, Marc Geilen, Dip Goswami, Pekka Jaäskelaïnen, Jiøí Kadlec, Marcos Martinezde Alejandro, Francesca Palumbo, More Authors (2019), The FitOptiVis ECSEL Project: Highly Efficient Distributed Embedded Image/Video Processing in Cyber-Physical Systems , In CF'19 p.333-338, Association for Computing Machinery (ACM).