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Looking for Research in Fall 2019?

ME 49800 (Fa19) Project (3 credit hours)Contact: Prof. Wassgren (wassgren@purdue.edu) Project Title: Optimizing Particle Shape For Flow and Packing Project DescriptionThe objective of this project is to determine what particle shapes result in good bulk flow behavior, but dense packings when flow ceases. This information is useful in the design of particles for use in powder bed fusion 3D-printing applications. In powder-based 3D printing, particles will ideally flow well in order to form a uniform powder base layer, but pack densely and uniformly so that fused powder parts have uniform,… Read more Looking for Research in Fall 2019?

IE 590: Robotics and Machine Vision (Technical Elective Credit)

NEW CLASS IE 590, FALL 2019:DEEP LEARNING AND MACHINE VISION*Dr. Juan P. Wachs (jpwachs@purdue.edu) This course combines practically relevant methods, tools and applications related to deep learning in computer vision. Specifically, we will look at how data science principles are applied to computer vision through: (1) teaching neural networks including deep configurations with recent advances such as Generative Adversarial Networks (GANs), Long short-term memory (LSTMs), Style Transfer, and Autoencoders. Program Overview (in a nutshell):1.         Introduction to computer vision and deep learning.2.         Linear Classification, Loss Functions, Neural Networks and Backpropagation3.        CNNs and Recurrent… Read more IE 590: Robotics and Machine Vision (Technical Elective Credit)