The Information Processing and Machine Learning Laboratory (IPML) supports research in theoretical algorithm development in digital signal processing, adaptive and nonlinear signal processing, machine learning, and deep learning. Application areas include speech, audio, image and video processing for computer vision, communications, biological testing and diagnostics, artificial intelligence (AI), Voice-over-IP networking. The lab supports student research in algorithms and real-time implementations on Graphical Processing Units (GPUs), digital signal processors (DSPs) and field programmable gate arrays (FPGAs). Laboratory equipment includes digital oscilloscopes, video cameras and wireless LAN networking equipment.
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Ivy Chung and Anoushka Gupta with Dr. Tokunbo Ogunfunmi for the Global Humanitarian Technology Conference
Ivy Chung and Anoushka Gupta presenting their project on Remote Crop Disease Detection using Deep Learning with IoT