Topics of interest include but are not limited to
• Signal, image processing, and machine learning: Signal processing, image analysis fundamentals, algorithms, clustering and classification, model selection (machine learning), feature engineering, federated learning, and shallow as well as deep learning.
• Computer vision & pattern recognition: Object detection and/or recognition (shape, color and texture analysis) and pattern recognition (statistical, structural, and syntactic methods).
• Machine learning: Algorithms, clustering and classification, model selection (machine learning), feature engineering, deep learning, and federated Learning (applications and challenges).
• Data science/analytics: Data mining tools, high-performance computing in big data.
“RTIP2R”
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Regards,
Siddhi Kiran Bajracharya
Graduate Student
Department of Computer Science, University of South Dakota
Contact: +1 (605) 728 6309, siddhi.bajracharya@coyotes.usd.edu
President – Applied Artificial Intelligence Club\