The Department of Bioengineering at the University of Pennsylvania and Dr. Rahim Rizi are pleased to announce the Doctoral Dissertation Defense of Hooman Hamedani. Title: Multibreath Hyperpolarized Gas Imaging of Lung […]
Integrating machine learning and control systems has achieved remarkable success in controlling complex dynamical systems such as autonomous vehicles. However, the resulting controlled system often has a neural network (NN) […]
Lubricants with low viscosity have the potential to improve fuel efficiency in engines due to friction reduction. However, a reduction in viscosity increases the likelihood of wear. Zinc dialkyldithiophosphate (ZDDP), […]
The intersection of dynamical systems and networks are used to model a huge variety of phenomena such as the spread of disease, multi-agent systems, opinions in social networks, and more. […]
High-level synthesis has accelerated the adoption of autotuners to explore design spaces. Design-space size increases exponentially in the number of design parameters, and synthesizing a single configuration for a device-scale […]
Signal Temporal Logic (STL) is a common way to express a broad range of real-time constraints that can be imposed on control systems. Spatial robustness of STL specifications, quantifying permissible […]
Epidemiological spreading processes constitute the core of a large number of disparate networks. In some, faster spread is desirable, in others containing the spread is critically important. We focus on […]
The Department of Bioengineering at the University of Pennsylvania and Dr. David Issadore are pleased to announce the Doctoral Dissertation Defense of Nishal Shah. Title: High Throughput Microfluidics for Ultrasensitive Blood-Based Diagnostics. Date: […]
LARGE-SCALE MICROFLUIDIC MANUFACTURING OF GRANULAR HYDROGELS AND MULTIPLE EMULSIONS Abstract: Droplet microfluidics have made tremendous progress in the last two decades in the generation of micrometer- and nanometer-scale materials. One […]
Aquatic modular self-reconfigurable robotic systems (MSRRs) have incredible potential for bringing practical, flexible, and adaptable robotic tools to challenging environments. They could build mobile ocean platforms or bridges for larger […]
