Welcome to Scalable Energy-Efficient Computing Systems (SCALE) Laboratory

Recent News:

• 2025/07: Prof. Reda interviewed by CNN and our work on PoliTune getting cited
• 2025/07 New NSF grant to support research for Multi-Task Learning on Augmented Reality systems.
• 2025/06 Best paper award at IEEE International Conference on LLM-Aided Design
• 2025/05 Congratulations to Austin Funk for successfully completing his B.Sc. Honors thesis

Recent Papers:

• CPVR ‘24 – MTLoRA: Low-Rank Adaptation Approach for Efficient Multi-Task Learning
• CVPR ‘24 – PikeLPN: Mitigating Overlooked Inefficiencies of Low-Precision Neural Networks
• ISLPED ‘23 – WeNet: Configurable Neural Network with Dynamic Weight-Enabling for Efficient Inference
• Annals of OR ‘23 – Automatic MILP Solver Configuration by Learning Problem Similarities
• Nature Communications – Digital Circuits and Neural Networks based on Acid-Base Chemistry implemented by Robotic Fluid Handling

Research Themes::

• HW/SW Co-Design for AI
• Energy-Efficient and Sustainable Computing
• Machine Learning for Combinatorial Optimization and EDA
• AI and Social Sciences
• Molecular Computing

Recent Videos: