The university profile and laboratory inventories describe the following facilities and equipment. Locations are retained from those documents, providing a campus-based account of RDI’s experimental, analytical and computational resources.
| Facility / capability | Documented resources | Campus location |
| Cellular & molecular research | Cell culture, microbiology, immunology and molecular biology; PCR/qPCR, gel documentation, centrifugation, homogenization and inverted microscopy. | Building 2 Second floor |
| Instrumental analysis | Liquid chromatography–mass spectrometry and liquid chromatography; GC-MS, FT-IR, ELISA, UV/VIS spectrophotometry and fluorimetry. | Building 2 Second floor |
| Experimental animal facility | Controlled housing, surgical and aseptic-procedure spaces, behavioural investigation and cardiovascular recording equipment. | Building 9 Basement |
| Bioimaging | Laser speckle imaging for microcirculation research and non-invasive blood-pressure instrumentation. | Building 2 Basement |
| Chemical synthesis | Stirrers, rotary evaporators, balances, fume hoods, ovens, glassware, melting-point and UV-viewing equipment. | Building 2 Second floor |
| Deep learning & high-performance computing | Vector and GPU workstations for modelling, deep learning and computation associated with research projects. | Building 10 First floor |
| Materials science | Electron microscopy and X-ray diffraction for materials investigations. | Building 11 Ground floor |
| Engineering & prototyping | CNC machining, fabrication and 3D printing; embedded systems/IoT, communications, mechatronics, control, thermal sciences, construction materials and soil mechanics. | Buildings 9 & 11 Laboratory-specific locations |
| Research support | Water purification, washing and sterilization; cold storage with −20 °C and −80 °C freezers. | Building 2, second floor; Building 9, basement |
Experimental and computational research in one institutional setting
These facilities provide the documented setting for chemical, biological, physical and computational investigations. The research interests on page 2 connect those broad capabilities with disease mechanisms, molecular profiling, candidate-drug evaluation and applied interdisciplinary research.