Illinois Institute of Technology Assistant Professor Ren Wang has been awarded the National Science Foundation’s CRII award for his research on improving the robustness of machine learning models. Wang’s project involves infusing key principles of the immune system into neural networks to make them more resistant to multifaceted perturbations. The two-year grant will fund his project, which is titled “Immune-Inspired Learning Foundations of Neural Network General Robustness,” and has the potential to transform the field of machine learning while advancing trustworthy machine learning theory and practice. Wang’s research will have far-reaching implications for various engineering and scientific fields. He is developing new machine learning courses for undergraduate and graduate-level electrical and computer engineering students while exploring his research interests in bio-inspired machine learning, high-dimensional data analysis, and smart grids.
Ren Wang of Illinois Institute of Technology Receives National Science Foundation Award
Ren Wang, Assistant Professor at the Illinois Institute of Technology, has been honored with the Computer and Information Science and Engineering Research Initiation Initiative (CRII) award by the National Science Foundation. This award is set to support Wang’s innovative research project, which focuses on infusing key principles of the immune system into neural networks to enhance the robustness of machine learning models.
Wang’s two-year research project, “Immune-Inspired Learning Foundations of Neural Network General Robustness,” aims to improve the capability of neural networks to defend against multifaceted perturbations. The project will not only advance trustworthy machine learning theory and practice, but it will also have far-reaching implications for various engineering and scientific fields that require robust machine learning models.
The award-winning Wang, who obtained his Ph.D. from Rensselaer Polytechnic Institute, joined Illinois Tech’s Department of Electrical and Computer Engineering in fall 2022. He is currently working on developing new machine learning courses for undergraduate and graduate-level electrical and computer engineering students. His research interests include trustworthy machine learning, high-dimensional data analysis, bio-inspired machine learning, and smart grids.
Wang expressed his gratitude for the support and welcome he has received from the ECE department, Armour College of Engineering, and the Illinois Tech community, adding that he has been impressed by their dedication, expertise, and collegiality.
This award demonstrates Wang’s exceptional contribution to the field of machine learning, and his research project is set to transform the landscape of machine learning while advancing trustworthy machine learning theory and practice.
Ren Wang’s work on infusing key immune system principles into neural networks to improve machine learning models’ robustness has earned him the National Science Foundation’s CRII award. Wang’s project, titled “Immune-Inspired Learning Foundations of Neural Network General Robustness,” has far-reaching implications for many engineering and scientific fields. His research will improve the capability of neural networks to defend against multifaceted perturbations, leading to more trustworthy machine learning models. With the support of the NSF and the Illinois Tech community, Wang is poised to make meaningful advancements in the development of robust and trustworthy machine learning models.
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