Dr.-Ing. Daniele Passaretti
Dr.-Ing. Daniele Passaretti
Vita
Dr. Daniele Passaretti is an Associate Researcher at the Institute for Hardware-Oriented Technical Computer Science, Otto von Guericke University Magdeburg, where he earned his Ph.D. summa cum laude. His doctoral work, titled “A Plug-and-Play Real-Time Architecture for MPSoC-FPGAs Targeting Interventional Computed Tomography,” focused on reconfigurable computing for medical imaging systems. His research centers on digital design and computing architectures for low-latency, data-intensive, real-time applications, particularly in complex medical cyber-physical systems such as CT, PET, and MRI scanners.
After completing a classical high school education in 2011, he began his Bachelor’s studies in Computer Engineering at the University of Naples Federico II, graduating in 2014 with a thesis on “NoSQL: I GraphDB” under the supervision of Prof. Antonio Picariello. He continued at the same university for his Master’s degree in Computer Engineering, specializing in Embedded and Industrial Systems. During this period, he joined Prof. Alessandro Cilardo’s research group, contributing to the EU H2020 MANGO project on the microarchitecture design of NaplesPU, a open-source many-core accelerator, GPGPU-like. He graduated with honors in 2017 with a thesis on Advanced Computer Architecture and GPU Programming – Design of Hardware Thread Synchronization Support for an Experimental Manycore System.
Project
Research Topics
- Control data acquisition systems for real-time low-latency data-intensive applications
- Hardware accelerators for Medical Cyber Physical Systems
- Adaptive System-on-Chip
- RISC-V
2025
Peer-reviewed journal article
Experimental study of a large area high PDE SiPM in 0.11- μ m CMOS process for PET applications
Chen, Jingbin; D'Ascenzo, Nicola; Passaretti, Daniele; Lao, Hui; Hua, Yuexuan; Xie, Qingguo
In: IEEE transactions on radiation and plasma medical sciences - New York, NY : IEEE, Bd. 9 (2025), Heft 6, S. 747-755
Assessing the effects of biostimulants on spinach through a Field-to-Lab approach for PET imaging
Antonecchia, Emanuele; Pagnani, Giancarlo; Nematpour, Afsaneh; Passaretti, Daniele; D'Ascenzo, Nicola; Pisante, Michele
In: Smart agricultural technology - [Amsterdam] : Elsevier B.V., Bd. 12 (2025), Artikel 101298, insges. 10 S.
A hybrid predictor–corrector network and spatiotemporal classifier method for noisy plant PET image classification
Chang, Weike; D'Ascenzo, Nicola; Antonecchia, Emanuele; Passaretti, Daniele; Pagnani, Giancarlo; Pisante, Michele; Xie, Qingguo
In: Physics in medicine and biology - Bristol : IOP Publ., Bd. 70 (2025), Heft 14, Artikel 145001, insges. 17 S.
2024
Book chapter
Exploring the versal AI engines for signal processing in radio astronomy
Van Wijhe, Victor; Sprave, Vincent; Passaretti, Daniele; Alachiotis, Nikolaos; Grutzeck, Gerrit; Pionteck, Thilo
In: 2024 34th International Conference on Field-Programmable Logic and Applications (FPL) , 2024 - New York, NY : IEEE, insges. 10 S. [Konferenz: 34th International Conference on Field-Programmable Logic and Applications, FPL, Torino, Italy, 02-06 September 2024]
Impact of wave pipelining on NoCs for heterogeneous monolithic 3D SoCs
Tzschoppe, Max; Passaretti, Daniele; Najafi, Amir; Fischer, Sebastian; Wilhelm, Martin; García-Ortiz, Alberto; Pionteck, Thilo
In: 2023 13th International Conference on Modern Circuits and Systems Technologies (MOCAST) - [Piscataway, NJ] : IEEE . - 2024, insges. 6 S. [Konferenz: 13th International Conference on Modern Circuits and Systems Technologies, MOCAST, Sofia, Bulgaria, 26-28 June 2024]
On-the-Fly CT image pre-processing on MPSoC-FPGAs
Passaretti, Daniele; Pionteck, Thilo
In: Architecture of Computing Systems - 37th International Conference, ARCS 2024, Potsdam, Germany, May 14–16, 2024, Proceedings , 1st ed. 2024. - Cham : Springer Nature Switzerland ; Fey, Dietmar, S. 177-191 - (Lecture notes in computer science; volume 14842) [Konferenz: 37th International Conference on Architecture of Computing Systems, ARCS 2024, Potsdam, Germany May 14-16, 2024]
Dissertation
A plug-and-play real-time architecture for MPSoC-FPGAs targeting interventional Computed Tomography
Passaretti, Daniele; Pionteck, Thilo; D'Ascenzo, Nicola
In: Magdeburg: Universitätsbibliothek, Dissertation Otto-von-Guericke-Universität Magdeburg, Fakultät für Elektrotechnik und Informationstechnik 2024, 1 Online-Ressource (xi, 191 Seiten, 37,01 MB) [Literaturverzeichnis: Seite 176-191][Literaturverzeichnis: Seite 176-191]
2023
Book chapter
A control data acquisition system architecture for MPSoC-FPGAs in computed tomography
Passaretti, Daniele; Pionteck, Thilo
In: Applied Reconfigurable Computing. Architectures, Tools, and Applications , 1st ed. 2023. - Cham : Springer Nature Switzerland ; Palumbo, Francesca, S. 361-365 - ( Lecture notes in computer science; volume 14251) [Symposium: 19th International Symposium, ARC 2023, Cottbus, Germany, September 27-29, 2023]
Peer-reviewed journal article
Enabling plug-and-play in cyber-physical systems using MPSoC-FPGAs
Passaretti, Daniele; Steiger, Max; Pionteck, Thilo
In: IEEE access / Institute of Electrical and Electronics Engineers - New York, NY : IEEE, Bd. 11 (2023), S. 116219-116234
2022
Book chapter
Hardware isolation support for low-cost SoC-FPGAs
Passaretti, Daniele; Boehm, Felix; Wilhelm, Martin; Pionteck, Thilo
In: Konferenz: International Conference on Architecture of Computing Systems, ARCS 2022, Heilbronn, Germany, September 13-15, 2022, Architecture of computing systems - 35th International Conference, ARCS 2022, Heilbronn, Germany, September 13-15, 2022 : proceedings - Cham: Springer; Schulz, Martin . - 2022, S. 148-163 - (Lecture notes in computer science; volume 13642)
Peer-reviewed journal article
Hardware optimizations of the X-ray pre-processing for interventional computed tomography using the FPGA
Passaretti, Daniele; Ghosh, Mukesh; Abdurahman, Shiras; Egito, Micaela Lambru; Pionteck, Thilo
In: Applied Sciences - Basel: MDPI, Bd. 12 (2022), 11, insges. 24 S.
2021
Book chapter
Configurable pipelined datapath for data acquisition in interventional computed tomography
Passaretti, Daniele; Pionteck, Thilo
In: 29th IEEE International Symposium on Field-Programmable Custom Computing Machines/ IEEE International Symposium on Field-Programmable Custom Computing Machines - Piscataway, NJ: IEEE; Bobda, Christophe . - 2021, S. 257
2020
Book chapter
Hardware/Software Co-Design of a control and data acquisition system for Computed Tomography
Passaretti, Daniele; Pionteck, Thilo
In: 2020 9th International Conference on Modern Circuits and Systems Technologies (MOCAST)/ MOCAST - [Piscataway, NJ]: IEEE . - 2020, insges. 4 S.
Peer-reviewed journal article
Hardware support for thread synchronisation in an experimental manycore system
Cilardo, Alessandro; Gagliardi, Mirko; Passaretti, Daniele
In: International journal of grid and utility computing - Genève: Inderscience Enterprises, Bd. 11 (2020), 1, S. 62-71
2019
Abstract
Computed tomography hardware architectural model FPGA-based
Passaretti, Daniele; Pionteck, Thilo
In: 4th Image-Guided Interventions Conference: digitalization in medicine : November 4th-5th 2019, UMM, Mannheim - Mannheim, 2019 . - 2019
Book chapter
Survey on FPGAs in medical radiology applications - challenges, architectures and programming models
Passaretti, Daniele; Joseph, Jan Moritz; Pionteck, Thilo
In: Konferenz: International Conference on Field-Programmable Technology, ICFPT, Tianjin, China, 09-13 December 2019, 2019 International Conference on Field-Programmable Technology/ ICFPT - Piscataway, NJ: IEEE . - 2019, S. 279-282
Survey on FPGAs in Medical Radiology Applications: Challenges, Architectures and Programming Models
Passaretti, Daniele; Joseph, Jan Moritz; Pionteck, Thilo
In: 2019 International Conference on Field-Programmable Technology (ICFPT), IEEE, 2019
2017
Book chapter
NoC-based thread synchronization in a custom manycore system
Cilardo, Alessandro; Gagliardi, Mirko; Passaretti, Daniele
In: Advances on P2P, Parallel, Grid, Cloud and Internet Computing - Cham : Springer International Publishing ; Xhafa, Fatos . - 2017, S. 673-682 - ( Lecture notes on data engineering and communications technologies; 13)