Adam Thelen joined SRSL for his Ph.D. study in May 2020. He was an undergraduate student majoring in ME at ISU. His first semester as a Ph.D. student started on May 18, 2020. Welcome, Adam!
SRSL has received research funding from the National Science Foundation for a new project on battery prognostics. This project is titled “Physics-Based Probabilistic Prognostics for Battery Health Management.” This three-year project ($385K in total) will be carried out through collaboration with Dr. Shan Hu (ISU ME) and Dr. Simon Laflamme (ISU CCEE).
Journal paper (joint work with Dr. Zhengdao Wang in Department of Electrical and Computer Engineering from Iowa State Univerisity) titled “Deep Convolutional Neural Networks with Ensemble Learning and Transfer Learning for Capacity Estimation of Lithium-ion Batteries” has been accepted for publication in Applied Energy. Congrats!
Dr. Venkat Pavan Nemani joined SRSL for his postdoctoral studies and Nazli Javadi Eshkalak joined SRSL for her Ph.D. studies. Welcome, Dr. Nemani and Nazli!
SRSL has received research funding from the National Science Foundation for a collaborative project with the University of South Carolina (UofSC). This project is titled “RTML: Small: Collaborative: A Programming Model and Platform Architecture for Real-time Machine Learning for Sub-second Systems.” This three-year project ($500K in total with $240k coming to ISU) will create and evaluate novel frameworks for achieving real-time machine learning in sub-second systems. It will be carried out through collaboration with Dr. Simon Laflamme (PI at ISU), Dr. Austin Downey (PI at UofSC), and Dr. Jason Bakos (Co-PI at UofSC).
SRSL has received research funding from the Reducing EMbodied-Energy And Decreasing Emissions (REMADE) Institute for the project titled “Data-Driven Design Decision Support for Re-X of High-Value Components in Industrial and Agricultural Equipment.” This one-year exploratory project ($100K) will create a data-driven design decision support tool to evaluate and recommend design for Re-X options for high-value components in industrial and agricultural equipment. It will be carried out through collaboration with Dr. Gül E. Kremer (IMSE at ISU) and John Deere.
Martin A. Martinez, who had worked in SRSL as an REU student in the past summer, received the Emerging Graduate Student Award for Research Excellence in Mechanical Engineering graduate programs. This award recognizes students with great potential for academic excellence in mechanical engineering research. Congrats!
SRSL has received research funding from the National Science Foundation (NSF) for the project titled “PFI-TT: Physics-based Deep Transfer Learning for Predictive Maintenance of Industrial and Agricultural Machinery”. This two-year project ($240K in total) will create an industrial internet of things (IIoT) platform for practical and scalable predictive maintenance of rotating machinery. It will be carried out through collaboration with Dr. Simon Laflamme (CCEE at ISU), Dr. Matthiew Darr (ABE at ISU), Mr. Carey Novak (CIRAS at ISU), and Dr. Andy Zimmerman (Grace Engineered Products, Inc.).
Conference paper (joint work with Ramin Giahi and Cameron MacKenzie from Department of Industrial and Manufacturing Systems Engineering, Iowa State University) titled “A Multi-stage Optimization Model for Flexibility in Engineering Design” received the Best Track Paper Award at the IISE Annual Conference & Expo 2019. Congrats!
Meng was offered a summer internship at Leica Biosystems, a medical device company and a division of Danaher Corporation. He will work full-time as a student engineer from this June to August. Congratulations!