ESE & CIS Spring Seminar – “Towards Transparent Representation Learning”
Machine learning models trained on vast amounts of data have achieved remarkable success across various applications. However, they also pose new challenges and risks for deployment in real-world high-stakes domains. […]
ESE & BE Spring Seminar – “Ultra-high-throughput computational imaging: towards a trillion voxels per second”
Traditional biomedical imaging techniques face throughput bottlenecks that limit our ability to study complex dynamic samples like cells, organoids, tissues, and organisms. In particular, hardware-only systems have inherent physical limitations […]
ESE Spring Seminar – “White-Box Computational Imaging: Measurements to Images to Insights”
Computation and machine learning hold tremendous potential to improve the quality and capabilities of imaging methods used across science, medicine, engineering, and art. Despite their impressive performance on benchmark datasets, […]
ESE & CIS Spring Seminar – “Beyond the black box: characterizing and improving how neural networks learn”
The predominant paradigm in deep learning practice treats neural networks as “black boxes”. This leads to economic and environmental costs as brute-force scaling remains the performance driver, and to safety […]
ESE Spring Seminar – “Physics-inspired Machine Learning”
Combining physics with machine learning is a rapidly growing field of research. Thereby, most work focuses on leveraging machine learning methods to solve problems in physics. Here, however, we focus […]
ESE Grace Hopper Lecture – “Disrupting NextG”
As 5G takes to the airwaves, we now turn our imagination to the next generation of wireless technology. The promise of this technology has created an international race to innovate, […]
ESE PhD Thesis Defense: “Learning, Privacy, and Reliable Communication in Large Data Networks”
This thesis explores advancements in three distinct domains: communications, privacy, and machine learning. Within the realm of communication, a comprehensive study is conducted on channel coding at low capacity, a […]
ESE PhD Thesis Defense: “CyberCardia: Patient-specific Electrophysiological heart model for assisting left atrium arrhythmia ablation”
Atrial arrhythmia is a prevalent heart disease that results in weak and irregular contractions of the atria. It affects millions of people worldwide. Cardiac ablation is among the most successful […]
ESE PhD Thesis Defense: “Light matter interaction in low-dimensional semiconductors”
Light matter interaction holds significant relevance across a range of applications including lasing, sensing, communications, and computing. One prominent method for modulating optical properties is through the use of a […]
ESE PhD Thesis Defense: “Control of Multi-Contact Systems via Local Hybrid Models”
For many important tasks such as manipulation and locomotion, robots need to make and break contact with their environment. Although such multi-contact systems are common, they pose a significant challenge […]