Two Cyclone Engineers obtain 2021 NSF CAREER awards • College of Engineering News • Iowa State University

Nigel Reuel, assistant professor of chemical and organic engineering, and Zhaoyu Wang, assistant professor {of electrical} and pc engineering, have been chosen for 2021 National Science Foundation’s Faculty Early Career Development Program (CAREER).

CAREER awards are the NSF’s most prestigious awards given to early-career college. The program goals to construct a agency basis for management in integrating analysis and training.

“Nigel and Zhaoyu’s CAREER projects are exciting examples of how Cyclone Engineers are combining machine learning with innovative areas of research to speed up solutions to pressing challenges,” stated Arun Somani, affiliate dean for analysis, Anson Marston Distinguished Professor of Engineering and Philip and Virginia Sproul Professor in Electrical and Computer Engineering. “Both Nigel and Zhaoyu are also leaders in engineering education – and their projects will help train and inspire the next generation of creative engineers.”

Nigel Reuel: Better biomanufacturing for higher therapies

Problem: Therapeutic cells present promise as a brand new therapy possibility for continual sickness, however advances have to be made in manufacturing reproducibility to get therapeutic cells out of medical trials and into widespread use.

Project: Reuel will develop novel, real-time sensors and reinforcement discovered (RL), dynamic management insurance policies to enhance reproducibility in large-scale manufacturing of differentiated, cell therapies.

The analysis staff will construct the reinforcement studying agent and take a look at it utilizing simulations with the most recent RL algorithms. In parallel, the staff will develop actual coaching environments for differentiated cell tradition with a number of sensors and management components. The coaching environments will then be used to coach the RL agent.

Reuel will benchmark this new, dynamic management method towards static differentiation “recipes” utilizing a spread of mannequin cells with Iowa State and exterior collaborators.

Potential Impact: Reuel’s work will make potential sensible manufacture of regenerative medicines to deal with many ailments akin to cancers, autoimmune illness, infectious illness, repairing tissue harm, and neurological issues. The new modular framework will probably be simply tailor-made to various kinds of sensors, stimulation cues and cell targets, setting it as much as tackle rising biomanufacturing challenges.

“Cell therapies are the next wave of therapeutic innovation, demonstrating incredible outcomes and ability to tailor specifically to each patient.  In order to realize their full impact, they need to be made more efficiently and safely.  Our work will be a part of this effort.”

Possibilities: Part of the mission consists of new course modules, a instrument growth workshop and even an interactive artwork exhibit to coach college students and the general public about machine studying.

“Both graduate students and undergrads will get training and experience in tool design, cell culture and reinforcement learning, further strengthening the nation’s biomanufacturing capabilities,” stated Reuel.

 

Zhaoyu Wang: Tapping good meters’ potential for grid resilience

Problem: Enhanced electrical grid monitoring is required to advertise renewable integration whereas making certain reliability, however present approaches depend on costly sensors. Smart meters that electrical utilities are already utilizing for billing have potential, however with out new computing improvements, good meters solely can present restricted insights into grid efficiency.

Project: Wang will unlock the potential of good meters with new optimization and probabilistic graph studying strategies to allow data-driven, real-time electrical community monitoring.

Wang’s staff has three objectives. They will create new grid topology and parameter identification algorithms that can leverage obtainable however low-resolution good meter knowledge, uncover knowledge connections, and make potential real-time energy distribution grid modeling.

The staff can even use new graph studying approaches that join good meters and different info sources to make quick and correct outage detection potential. And, third, Wang’s staff will design strong data-recovery methods to tackle challenges in good meter knowledge asynchrony.

Potential Impact: Wang’s improvements will add as much as real-time modeling and quick detection of large-scale outages, utilizing good meters which are already extensively in use.

“By harnessing the data collected by existing smart meters, millions of dollars in potential sensor investments are saved. Our work will bring U.S. utilities much needed data-driven grid monitoring that helps minimize outages. Plus, our advances help promote the seamless integration of renewable energy into grids,” stated Wang.

Possibilities: Broader impacts of Wang’s mission embrace integrating energy engineering training with knowledge science. He’ll make obtainable open-source knowledge units, create coaching for power professionals and develop interactive good grid academic actions for prime schoolers.

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