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Break Through Tech Info Session!

Are you interested in the fields of Data Science, Machine Learning and Artificial Intelligence?

Break Through Tech AI is a free, 18-month extracurricular program hosted at Cornell Tech that helps college women (trans and cis), nonbinary, and other underrepresented groups in tech gain the skills they need to get jobs in the fastest-growing areas of tech: data science, machine learning, and artificial intelligence. Applications for the 2023-24 cohort will open in January. Join the Break Through Tech AI team to learn more about this unique program and hear key details about the application process. Applications for the 2023-24 cohort will open in January. Join the Break Through Tech AI team to learn more about this unique program and hear key details about the application process.

REGISTRATION LINK: https://cornell.zoom.us/meeting/register/tJYkdOqvpj0sGdUWmAse1gQVosl6s3iJUtVh

REGISTRATION LINK: https://cornell.zoom.us/meeting/register/tJYkdOqvpj0sGdUWmAse1gQVosl6s3iJUtVh

Using Machine Leaning and Math in LiDAR 3D point clouds

THE SIAM STUDENT CHAPTER & MATH CLUB OF CITY TECH JOINTLY PRESENT A TALK BY

Dr. Francis Patricia Medina

On Thursday, October 13th, 2022 Virtually via Zoom FROM 1:00-2:00 PM.

Meeting ID: 586 526 2264 and Passcode: SIAM2022
The talk is on
Using Machine Leaning and Math in LiDAR 3D point clouds

LiDAR point clouds contain measurements of complicated natural scenes and the classes are comprised of natural features. We present a preliminary comparison study for the classification of 3D point cloud LiDAR data that includes several types of feature engineering. We also include experiments with several dimension reduction strategies and introduce the product coefficients which might have different patterns for different classes. We’ll compute the product coefficients on a simple example to get further understanding of how they can represent a measure. The idea is that we can see the connections between mathematical tools from areas on mathematics such as measure theory and machine learning in the sciences.

Dr. F. Patricia Medina is an assistant professor at the Department of Mathematics at City Tech. Dr. Medina holds a PhD in Mathematics from Oregon State University, two masters in Mathematics and a postdoc in machine learning at Worcester Polytechnic Institute. She also was visiting postdoctoral scholar in ICERM, Brown University. Before coming to City Tech, Dr. Medina was an assistant professor in Computer Science at Yeshiva University. Dr. Medina’s background includes Banach space theory, measure theory, machine learning, numerical analysis and applied functional analysis. She has several publications on machine learning and the mathematical analysis of methane models and has made several presentations on her research. Her grants include Azure computing from Microsoft and Google Explore.
She co-organized the AMS-AWM Session on Mathematical and Computational Research in Data Science (AWM Sponsored) at the Join Mathematics Meeting (the largest mathematics meeting in the world). She was also part of the 2017 and 2019 ICERM research collaboration workshops at Brown University, launching the Women in Data Science and Mathematics (WiSDM) Research Network.

Ethical Tech Startups: Principles For Success

THE SIAM STUDENT CHAPTER OF CITY TECH PRESENTS A TALK BY
Dr. Ronald Michael Baecker
Emeritus Professor of Computer Science and
Bell Chair in Human-Computer Interaction Founder, Technologies for Aging Gracefully Lab and
Knowledge Media Design institute Co-founder, Dynamic Graphics Project,
University of Toronto

On Thursday, November 10th, 2022 Virtually via Zoom FROM 1:00-2:00 PM.
Meeting ID: 586 526 2264 and Passcode: SIAM2022
The talk is on
“Ethical Tech Startups: Principles For Success”

As of 2020, 14 of the world’s 50 wealthiest billionaires made their money in technology. Microsoft alone has created over 10,000 millionaires. Unicorns are privately held startup companies worth over $1 billion. Approximately 2000 unicorns have emerged since 2015. Of the 50 with the greatest valuation, at least 39 are digital tech firms or companies leveraging software.

Although many digital tech products now cause much evil, you can create ethical tech startups — both “ethical tech” startups and ethical “tech startups”. Based on my experience creating 5 software startups and 36 years of learning and teaching technical entrepreneurship, I will explain the two senses of the phrase “ethical tech startup” and  outline 7 principles for success:

  1. Seek solutions that solve important problems or that leverage opportunities created by new technologies.
  2. Develop competitive advantage through proprietary technology and distinctive competence.
  3. Validate your strategy and products by user experience design at every stage from idea to shipping product.
  4. Think about your strengths; leverage them in creating an identity and communicate this to customers.
  5. Design your business model and go-to-market strategy; devote significant resources to digital marketing.
  6. Plan and project your finances carefully with a forecasting model; raise funds expeditiously but vigorously.
  7. Hire only the best; motivate and guide them with inspirational leadership by a capable management team.

I shall illustrate these principles using examples of successful ethical tech ventures. I will highlight examples of ethical and unethical behavior throughout the presentation.

“How Image Morphing and Image Compression are related to Linear Algebra”

THE SIAM STUDENT CHAPTER OF CITY TECH PRESENTS A TALK BY
Dr. Tanvir Prince
On September 15th, 2022 Virtually via Zoom FROM 1:00-2:00 PM.
Meeting ID: 586 526 2264 and Passcode: SIAM2022
The talk is on

“How Image Morphing and Image Compression are related to Linear Algebra”

Mathematics is full of theories and applications. Students sometimes may have the misconception that you can only learn about application once you learn some advanced mathematics. But, on the contrary, some elementary introductory mathematics can have critical applications. Without image morphing and compression, we cannot imagine websites, Facebook, YouTube, and movie industries, to name a few, but it has applications in many other fields. I will explain it all in straightforward language. Introductory knowledge of linear algebra may be helpful but not required.

Dr. Tanvir Prince has a Ph.D. in Mathematics from Stony Brook University and is currently an Associate Professor of Mathematics at Hostos Community College, City University of New York. He is interested in such areas as Topological Quantum Field Theory and Recreational Mathematics. He has recently become very interested in Mathematics Education. He has presented at numerous international and national conferences. He regularly publishes articles on pure mathematics and mathematics education in various peer-reviewed journals. Dr. Prince is also collaborating on projects that expose community college students to mathematical research early in their academic careers. His other interests include traveling SIAM Talk Fall 2022 1and cooking.