TOPICS

• On-Board data processing architectures
• On-board data handling architectures
• ADHA - Advanced Data Handling Architecture
• Reconfigurable Data System Architectures 
• Distributed processing architectures 
• Distributed computing of data and signal processing 
• Signal processing chain architectures  
• Lessons learnt

Track B: Avionics and data handling systems for platform, launchers, optical & RF payloads

• On-Board Computer (OBC) units, Remote Terminal Units (RTU), Mass Memory units, Instrument Control units (ICU)
• High Performance Hardware Data and Signal Processing unit/module, 
• High throughput electronics for Radar back-ends, Radiometer back-ends, Instrument Front End Electronics
• High throughput electronics for transparent and regenerative processors for Satellite Communication, Intersatellite and TT&C units
• Software Defined Radios 
• Use of digital and mixed-signal components in OBC / OBDP and in data/signal processing systems (Reference Designs)  
• Multicore processors, GPUs, FPGAs, DSPs, memories, full custom processor ICs,SoC, SiP, DAC, ADC 
• Use of COTS in OBC / OBDP and  signal processing systems  
• Selection, radiation test results, mitigation technics in designs
• Validation & verification, testing, qualification,  simulation, modelling of complex systems  
• Lower-class mission, smallsat and cubesat data handling equipment
• Processor simulators/emulators
• Software development platforms/toolchains for the new generation of processors (including FPGAs) - compilers, debuggers, etc.
• Qualification of low-level software libraries (e.g. OpenMP)

Track C: Buses, networks & protocols 

• Protocol developments of SpaceWire, SpaceFibre, CAN-Bus, Ethernet, other protocols 
• Software building blocks for higher level protocols
• Validation & verification of Simulation suites, Test equipment, approaches, and standards 
• Components 
• Embedded interfaces in processors/FPGAs, Switches, routers, SerDes, (optical) transceiver, connectors, harness 
• Wireless Technologies  

Track D: OBDP (On-Board Data and Signal Processing) 

• Device Benchmarks (Multicore processors, GPUs, FPGAs) 
• Developments in On-Board Data Processing Frameworks, Architectures and Building Blocks 
• Parallel processing frameworks (OpenMP, OpenCL), Hardware acceleration of processing tasks, Heterogeneous processing systems, FPGA IP and HLS 
• On-board Data Processing Algorithms and Implementations 
• On-board processing applications for Multi- and Hyperspectral image processing, Visual navigation, Data reduction
• On-board Signal Processing Algorithms for RF applications such as SDR, 5G/6G gNb, AIS, ADS-B, Beamforming, Modems, PNT, Positioning, Synthetic aperture radar (SAR) processing, Radio interferometer processing
• Implementations of On-board Signal Processing Algorithms for RF applications (DSP SW, FPGA IP and HLS, etc)
• AI and Machine learning for on-board data processing 
• Data Analysis (classification, segmentation, selection), datasets for training of on-board AI, Efficient Neural Networks, Software tools and FPGA IP for machine learning inference, Fault-tolerance in deep learning algorithms, applications for RF Payloads and Instruments, like signal intelligence, anomaly detection, spectrum allocation, cognitive radar, network orchestration  
• Validation & verification of hardware and software implementation of On-Board Data & Signal Processing algorithms and functions.