Liang Liu, Professor

Digital Baseband for 5G/6G (massive MIMO, mmWave, Large Intelligent Surface)

• Adaptive Baseband Processing and Configurable Hardware for Wireless Communication, PhD Student: Dr. Rakesh Gangarajaiah (graduated)
• System-algorithm-accelerator co-design for Massive MIMO, PhD Student: Mojtaba Mahdavi (graduated)
• Application-specific instruction-set processor (ASIP) for massive MIMO and beyond, PhD Student: Mohammad Attari, Post-Doc: Steffen Malkowsky
• PA non-linearity in massive MIMO and efficient DPD, PhD Student: Sidra Muneer
• Distributed processing for massive MIMO and large intelligent surface, PhD Student: Jesús Rodríguez Sánchez (graduated)
• mmWave Massive MIMO, PhD Student: Sijia Cheng, Post-Doc: Minkeun Chung
• 6G distributed massive MIMO: processing and implementation, PhD Students: Dumitra Iancu, Lina Tinnerberg

Energy-Efficient AI and Machine Learning

• Energy-efficient processor for connected, via Large Intelligent Surfaces, smart vision sensors, PhD Student: Ilayda Yaman
• Computer vision and machine learning ASIP and accelerator for UAVs, PhD Student: Lucas Ferreira, Post-Doc: Steffen Malkowsky 

Real-time Processing for Big Science Facilities   

• Cooperation with the Department of Particle Physics to develop a high-speed data acquisition systems for experiment data read-out at a test facility at DESY (The Deutsches Elektronen-Synchrotron) Hamburg. (Report)
• Beam control electronics with ESS