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Research introduction
What we do at
SPACE
IIT
SPACE
IIT
projects develop a variety of solutions from nanomaterials for space medicine, to photonic devices and advanced sensors, from space-abilitated microscopes to robots for astronaut support. Here our latest projects.
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A multi-Organ signature of circulating (small) noncoding RNAs as early predictors to study the astronauts’ physiologic changes occurring in microgravity conditions.
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Prisma Hyperspectral Image Enhancement for Revealing Cultural Heritage Sites from Earth Observation (PERSEO)
Species production in altered gravity conditions: Preliminary investigation on planarians (PlanOx2)
Thermal energy generation in space: Improved thermoelectric performance via metamaterial technology
A new device concept for lightweight, compact and highly sensitive X- and Gamma- ray detection in Space
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OPtimal Transport for Identifying Marauder Activities on LiDAR (OPTIMAL)
PATINA: Optimisation of PhotocATalytIc aNtibActerial coatings
Piezoelectric Flexible Smart Sensors for monitoring vital parameters and sleep of astronauts
Plasmostor Digital Twin Technology and its impact to mitigate Space Radiation
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Nano-spectroscopy in the visible and near-IR
Nanotechnological countermeasures against oxidative stress in muscle cells exposed to microgravity (NOEMI)
Nanotechnology solutions against oxidative stress in muscle tissue during long-term microgravity exposure (NANOROS)
Nichoid in space: Advanced in vitro models for “on orbit” investigations (Nichoid-ET)
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Deep characterization of a nanotechnological antioxidant for space using simple invertebrates (NanOxSpace)
Elucidating modes of interaction of redox-active nanomaterials with biological systems exposed to microgravity (InterGravity)
Germanium-based lithium-ion batteries for AeroSpace applications
Nanoresonators-based sensors for Space
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Advanced nanozymes for antioxidant therapy
Autonomous Non-wheeled all-Terrain rover (ANT)
Biomarkers and biosensors to monitor body response in microgravity conditions (MARS-PRE)
Cultural Landscapes Scanner (CLS): Earth Observation and automated detection of subsoil undiscovered cultural heritage sites via AI approaches
