Applied Mathematics in Industry Seminar (AMIS)

The Applied Mathematics in Industry Seminar (AMIS) is intended to highlight how mathematics is used in various different careers. Seminars typically require little or no advanced mathematical knowledge and are open to anyone.

Upcoming Events

No events currently scheduled

 

Past Events

Wednesday, February 10, 2021

  • SPEAKER: Dr. Jay Lee (Principal Data Scientist at AT&T)
  • TITLE: "One or two things I wish I had learned in school before becoming a Data Scientist"
  • TIME/LOCATION: 3:30-4:30pm online in Zoom
  • ABSTRACT: Link to pdf abstract

Wednesday, March 17, 2021

  • SPEAKER: Jessica Owensby (Principal Big Data Software Engineer at AT&T)
  • TITLE: "Discrete Math: The Ultimate Resume Builder"
  • TIME/LOCATION: 3:30-4:30pm online in Zoom
  • ABSTRACT: Link to pdf abstract

Wednesday, March 24, 2021

  • SPEAKER: Dr. Xiquan Cui (Manager of Data Science at The Home Depot)
  • TITLE: "Auto Magic Experience with Deep Learning"
  • TIME/LOCATION: 3:30-4:30pm online in Zoom
  • ABSTRACT: Link to pdf abstract

Wednesday, April 14, 2021

  • SPEAKER: Bill Franks, Director of the Center for Statistics and Analytical Research at Kennesaw State University
  • TITLE: "Presenting Technical Information to Nontechnical Audiences"
  • TIME/LOCATION: 3:30-4:30pm online in Zoom
  • ABSTRACT: Many in the disciplines of data science, math, engineering or other technical area make a major error when developing a results presentation. Namely, they fail to distinguish between a detailed written document and a visual, live presentation that tells a compelling story. It is common for someone to develop what is effectively a technical document and then use that to present. This is a big mistake! This talk will go through some practices you can follow to ensure that you hit the mark with non-technical and executive audiences. It will provide a range of examples as well as specific pointers that can be used immediately.
  • Link to pdf abstract

Wednesday, September 22, 2021

  • SPEAKER: Jessica Reyes (Data Scientist at Equifax)
  • TITLE: "Career Journey as a Young Data Scientist"
  • TIME/LOCATION: 2:00-3:00pm online in Zoom
  • ABSTRACT: Join in to hear about recent alumni, Jessica Reyes, and her first year working as a Data Scientist at Equifax. This session will cover her journey to finding success in STEM as well as a live Q&A portion for current students who'd like to ask our alumni a question.
  • Link to pdf abstract

Wednesday, October 20, 2021

  • SPEAKER: Dr. Mayowa Awe (National Science and Technology Medals Foundation)
  • TITLE: "Mathematics ∩ Data Science ∩ STEM Advocacy"
  • TIME/LOCATION: 2:00-3:00pm online in Zoom (ID: 817 8612 9426 Passcode: vfUJv9)
  • ABSTRACT: In this session, Dr. Awe will share her experience at the intersection of mathematics, data science, and STEM advocacy. She will provide information about her academic trajectory and professional experiences as a data analyst in the defense industry and program director in the nonprofit sector. She hopes to share lessons learned that may be useful to students as they chart their academic and professional courses.
  • Link to pdf abstract

Wednesday, October 27, 2021

  • SPEAKERS: Kevin Jourdain and Preston Mesarvey (Improving Enterprises)
  • TITLE: "Journey of a Data Consultant"
  • TIME/LOCATION: 2:00-3:00pm in J-201L Atrium building, Marietta campus and online in Zoom
  • ABSTRACT: Companies are becoming inundated with Data, which created a need of roles to be fulfilled in structuring, integrating and analyzing it. Former KSU grads will present how students with a STEM background can entertain the idea of becoming a data consultant.
  • Link to pdf abstract

Wednesday, March 2, 2022

  • SPEAKER: Dr. Hua Xu (Vice Presiden of Game Design at Aristocrat)
  • TITLE: "Math Modeling and Data Analysis in the Casino Gaming Industry"
  • TIME/LOCATION: 3:00-4:00pm online in Zoom
  • ABSTRACT: We will give an overview of the global casino gaming industry, the major manufactures, a brief history of the revolution of slot machines and dive deeper into how math is used in creating slot games as well as why math is critical for making highly successful games that change the industry. We also want to cover the digital social casino part of the gaming business and how we utilize data to make successful social casino apps.
  • Link to pdf abstract

Wednesday, March 23, 2022

  • SPEAKER: Dr. Ariel Leslie (Data Analyst at Lockheed Martin)
  • TITLE: "Journey to Data Analysis"
  • TIME/LOCATION: 2:00-3:00pm, online in Zoom
  • ABSTRACT: The path to data analysis is not always linear, contrary to a very popular data science technique. Dr. Leslie will discuss her journey through various courses, mentorship, and academic adventures that have led to a career in data analysis.
  • Link to pdf abstract

Wednesday, March 30, 2022

  • SPEAKER: Dr. Ibrahim Diakite (Associate Director in Modeling at OPEN Health)
  • TITLE: "From Mathematician to Infectious Disease Modeler – Health Economist"
  • TIME/LOCATION: 2:00-3:00pm, online in Zoom
  • ABSTRACT: Link to pdf abstract

Wednesday, April 6, 2022

  • SPEAKER: Dr. Daoying Lin (Director of Data Science at Capital One)
  • TITLE: "Data Science at Capital One"
  • TIME/LOCATION: 3:00-4:00pm, online in Zoom
  • ABSTRACT: Dr. Lin is going to talk about her career in Data Science and share how Data Scientists are driving the heart of Capital One with Real-Time Ai products with a broad stack of technologies (Python, AWS, Snowflake, TensorFlow, etc) and algorithms, while in close partnership of software engineers, analysts, and product managers.
  • Link to pdf abstract

Wednesday, April 13, 2022

  • SPEAKER: Dr. Yubing Wan (Senior Data Scientist at QuartzBio)
  • TITLE: "From Biostatistician to Data Scientist: A Personal Career Case"
  • TIME/LOCATION: 2:00-3:00pm, online in Zoom
  • ABSTRACT: In the modern data science field, there are many technical skills believed to be essential for success including but not limited to coding skills, programming languages, mathematical algorithms, data types, data structures, etc.. While it’s important to have proficiency at tasks related to these skills, it’s often challenging or confusing for beginners to connect them to specific career goals. In this presentation, I will take my personal career path as an example to share how I became a data scientist after school, what skill sets are needed in my daily work, what trainings received from school promote my career development, as well as my understanding on the significance of continuously expanding and improving personal skillset after school.
  • Link to pdf abstract
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