News: page 14

Jason Redman gave a talk to the Math Club and AWM on graph theory and linear algebra. The talk started talking about the Seven Bridges of Konigsberg and lead into random walks on graphs and using diagonalized matrices to find steady-state probabilities for state diagrams.

Undergraduate senior and AWM president, Anna Tao, did a poster presentation at Kean Univeristy on Aperiodic Points and Self-Similarity of an Infinite Interval Exchange Transformation. This is a project she worked with Prof. Hooper as part of the 2018 Summer Rich Internship at CCNY.

The NYC Regional Math Alliance had their first annual conference at Kean Univeristy on September 15th. There were several students, faculty, and staff that came from CCNY and even one senior, Anna Tao, did a poster presentation on Aperiodic Points and Self-Similarity of an Infinite Interval Exchange Transformation. Maria Isabel-Sanchez, CCNY Alumni and current PhD student at the University of Minnesota, gave a talk on Non smooth bifurcations on Welander's Model. Thanks to the directors of the NYC Regional Math Alliance, Prof. Chinta and Prof. Hooper, as well as the faculty from Kean University for being very accommodating and welcoming. Thank you to all of the other math alliance faculty who helped put together a wonderful conference.

Yu Xuang Huang, a senior applied math and computer science double major, got an internship at NASA for the Summer of 2018.

Hear it from him!

I got an internship offer from NASA summer 2018. The project name is Above-Anvil Cirrus Plumes Machine Learning Project and it means a lot to me because our work will save lives and properties due to the hazardous weather.
Above Anvil Cirrus Plumes(AACPs) are plumes of cirrus clouds that shoot above the anvil tops of convective thunderstorms into the lower stratosphere which is a weather phenomenon that often precede severe weather such as tornados, thunderstorms, hail, and high winds.

This work has built off of previous research of AACPs by the NASA Langley Science Directorate using radar and satellite imagery. The purpose of this project was to identify AACPs associate with storms using machine learning techniques such as deep learning and image processing to perform analysis of imagery of storm clouds in order to automatically identify AACPs in satellite imagery. Which predicts AACP associate with storms and issues notification for precaution because loss of life and property due to severe weather is an unknown quantity. This project will be an excellence tool to assist aircraft flying in the vicinity of dangerous weather. This internship enhances both my soft skills and technical skills

I really appreciate Professor Jack Hanson, Professor Akira Kawaguchi and Professor Rosario Gennaro for the recommendation letter.

Prof. Amarasingham and Prof. Hooper took some of the Dr. Barnett and Jean Hollander Rich Research Summer Interns out to lunch at LoLo's Seafood Shack in Harlem!