AU-QUASAR at Alliance University
About AU-QUASAR
AU-QUASAR is Alliance University’s future-facing undergraduate initiative built around quantum computing, artificial intelligence, robotics and cyber-physical systems.
AU-QUASAR is Alliance University’s future-facing undergraduate initiative built around quantum computing, artificial intelligence, robotics and cyber-physical systems.
The Cyber-Physical Systems Lab at AU-QUASAR is built for students working at the intersection of embedded intelligence, connected infrastructure, industrial automation, digital twins, and human-machine systems. It creates a live environment where sensing, computation, networking, control, and physical actuation operate as one integrated architecture.
From dark factory simulation and IIoT deployments to Internet of Bodies experimentation and embedded systems prototyping, the lab enables students to move from component-level understanding to full systems engineering. The result is a learning environment aligned with the real complexity of next-generation cyber-physical ecosystems.
Lights-out production cell with UR10e and ABB GoFa COBOT fleet, IIoT sensor mesh, and Digital Twin interface for autonomous industrial workflows.
EEG headsets, wrist biometric monitors, chest ECG patches, and knee exo-strain sensors create a full Body Area Network stack for wearable cyber-physical experimentation.
Real-time OPC-UA data ingestion with Siemens NX MCD and Azure Digital Twins supports simulation, monitoring, and predictive maintenance validation.
Siemens S7-1500 PLCs, SCADA workstation, edge computing nodes, and a 5G private network slice support real industrial communication and control pipelines.
Hardware-in-the-Loop infrastructure enables embedded systems testing and safety-critical cyber-physical systems verification before live deployment.
FPGA boards, ARM Cortex-M microcontrollers, and real-time OS development kits support rapid prototyping for responsive, low-latency cyber-physical applications.
Embedded systems programming on ARM and FPGA. PLC ladder logic and SCADA configuration. First IIoT deployment. Sensor networks. COBOT force-limited HRI experiments. Body Area Network setup and biometric data streaming.
Full Digital Twin architecture design and failure prediction validation. IoB safety wearable system from BAN to edge to cloud to COBOT alert chain. Dark Factory capstone with a fully autonomous production cell. Industry-grade CPS deployment with OEE measurement and incident reporting.
CPS students work on deliverables that are unusually advanced for the undergraduate level. By graduation, they may have programmed COBOT fleets, designed biometric safety networks, and commissioned digital twins with live OEE metrics.
These are the kinds of outcomes usually associated with senior engineering roles. At AU-QUASAR, they become part of the degree journey itself, giving students unusual depth in embedded, industrial, and connected intelligent systems.
