In the early 2000s, areas of computational science such as computational chemistry or computational material science already had well-established software packages. However, everyday experimentalists couldn’t use them to guide or explain their experiments, nor could educators use them easily to teach the underlying concepts.

When training a deep neural network for image processing tasks such as image denoising, it has long been observed that the network can only perform well at the noise level where it is trained for. Purdue researchers recently developed a new theoretical framework which allows the network to handle a wide range noise levels where the performance is guaranteed to have a uniform gap from their individual best.

Five Purdue University student startups earned a total of $75,000 in cash prizes and another $30,000 in in-kind donations during the 33rd annual Burton D. Morgan Business Model Competition. First-place winner Glimpse includes Computer Engineering students Akash Raju and Kushal Negi.

Purdue University innovators, including ECE Prof. Saurabh Bagchi, wants to help organizations and users get the most for their money when it comes to cloud-based databases.

Highly energetic, “hot” electrons have the potential to help solar panels more efficiently harvest light energy. But scientists haven’t been able to measure the energies of those electrons, limiting their use. Researchers at Purdue University and the University of Michigan built a way to analyze those energies.

Fellowships are now available for the first time to master's degree students who apply to the online track in the School of Electrical and Computer Engineering at Purdue University.

ECE PhD student Deesha Shah has been awarded the 2020 Teddi Laurin Scholarship for her contributions to the field of optics and photonics.

Robert L. Gunshor, internationally known scientist and professor of 31 years at Purdue University, died on April 6, 2020 in Cape Cod Hospital, Hyannis, MA. He was 84.

Prof. Anand Raghunathan has been chosen to receive a 2020 Qualcomm Faculty Award. The Qualcomm Faculty Award (QFA) supports key professors and their research through a $75,000 charitable donation to their university.

David J. Love, Nick Trbovich Professor of Electrical and Computer Engineering, and his former postdoctoral researcher, Byungju Lee, have been selected as winners of the IEEE Communications Society Fred W. Ellersick Prize for a paper entitled “Non-Orthogonal Multiple Access in Multi-Cell Networks: Theory, Performance, and Practical Challenge.”