The 2024 IEEE Metropolitan AI Applications Symposium (IEEE MAIAS-2024) will be held online (Zoom) on Saturday, December 14, 2024, from 10 am until 12:30 pm. The symposium consists of one keynote presentation and several invited presentations, covering various topics in AI methods, systems, and applications. This symposium is organized in collaboration with Canadian-American Research Forum on AI Technologies. Organizers: IEEE North Jersey Engineering in Medicine and Biology Chapter (EMB) IEEE North Jersey Section Canadian-American Research Forum on AI Technologies Registration Required: https://events.vtools.ieee.org/m/447282 Conference Room: Join Zoom Meeting Meeting ID: 506 875 4099 https://zoom.us/j/5068754099 2024 IEEE Metropolitan AI Applications Symposium Symposium Program 10:00AM: Welcome Messages Prof. Yu-Dong Yao (IEEE North Jersey Section) 10:05AM: Keynote Speaker: Prof. Zhifeng Kou, NJIT AI in Medical Imaging: An Initial Investigation 10:45AM: Jake Ciocca, Stevens Institute of Technology Time Series Forecasting for Stock Prices 11:00AM: Pranay Reddy Baireddy, Stevens Institute of Technology Implementation of Diabetic Retinopathy Detection Using Deep Learning 11:15AM: Pratik Jain, NJIT Enhancing Functional Connectivity with Dictionary Learning for Brain Fingerprints 11:30AM: Marco Marena, NJIT Generative AI for Solar Physics 11:45AM: Cleopatra Mozolewski, Stevens Institute of Technology Bond Pricing Using Deep Learning 12:00PM: Rose Friedma, Stevens Institute of Technology AI and Gardening 12:15PM: Claudio Obregon, Stevens Institute of Technology ML Applications on IT Incidents Management 12:30PM: Yian Chen, Stevens Institute of Technology A Survey of Breast Cancer Detection Techniques based on CNN Techniques 12:45PM: Conclusion Remark Prof. Elisa Kallioniemi (NJIT) Registration IEEE member $ 0.00 Non-member $ 0.00 IEEE Student/Graduate Student/Life Member $ 0.00 Non-IEEE Student/Graduate Student $ 0.00 Organizing Committee Prof. Yu-Dong Yao, IEEE North Jersey Section Prof. Elisa Kallioniemi, NJIT, Newark Prof. Wei-Ping Zhu, Concordia University, Montreal Virtual: https://events.vtools.ieee.org/m/447282