Colloquium Series 2022-2023

This Colloquium Series is sponsored by the Department of Mathematics & Statistics
For more information, contact the colloquium chair, Dr. Michael Kerckhove.

Upcoming:

Tim Hamilton
Monday November 7 at 430 PM
Jepson Hall 109

Tim Hamilton PhD, Associate Professor of Economics, Robins School of Business, University of Richmond

Title: The Amenity Value of Natural Views

Abstract: A fundamental question in environmental economics is how to balance the value of economic production with that of environmental quality. Methods of nonmarket valuation have emerged to measure and quantify the value of environmental goods, including air quality, water quality, and open space. This analysis studies the value of natural views in an urban setting, incorporating machine learning methods into conventional nonmarket methods. Our analysis uses Google street view images to classify the quality of household’s view and estimates the degree to which that view is capitalized into the price of a home.

Past Events

Monday October 17 at 430 PM

Jepson Hall 109

Susan Staples, PhD

Associate Professor and Actuarial Program Director
Mathematics, Texas Christian University, Department of Science & Engineering

Title: Actuarial Careers and Opportunities - What is Out There and Where Do You Fit in the Picture?

Abstract: Actuaries don’t make their living consulting moldy old mortality tables, but tackle problems far beyond the outdated stereotypes of the insurance industry. The vast scope of areas utilizing risk management specialists is surprising. Careers range from building data driven models to analyze health, life, and property insurance to quantifying financial risks tied to the Social Security system, climate change, 401K plans, or cybersecurity challenges. We will provide an overview of the profession and discuss resources and practical steps for a mathematics, data science, economics, or finance major to pursue this career

Monday September 26

Anna Haensch, PhD, Senior Data Scientist, Tufts University Data Intensive Studies Center

Title: From Riemann Zeta to Big Data: A journey through mathematics and the lessons learned along the way

Abstract: I recall being an undergrad math major, knowing that math was a simultaneously fun and powerful tool, but not quite understanding how I could be a "professional mathematician," or what that even meant! Sure, math is everywhere *gestures vaguely in the direction of everywhere, * but I needed something a bit more concrete than that.  Today, I still don't know everywhere that math is, but I've found a few interesting places.  In this talk, I'm going to share some snapshots from my journey in math.  I'll show you some of the specific ways that I've enjoyed math and how I've made a career out of that enjoyment. In particular, I'm going to share how I went from being an academic number theorist studying the cobweb covered equations of antiquity to becoming a cutting-edge data scientist, often called the "sexiest job of the 21st century."  I'll leave lots of space for questions and conversation!

Wednesday 07 September

Amalia Gjerloev, UR '17, MSc, PhD student, University College London

Title: The Mathematics of Healthcare Operations Research

Abstract: With the Covid-19 pandemic, healthcare systems have seen a huge influx of patients, a strain on hospital resources and increased pressure to operate efficiently. Cancer services have been particularly impacted: clinicians face large appointment backlogs and patients experience long waiting times between appointments. In order to inform operational decision-making and analyze what-if scenarios, queuing theory can used to simulate patient flow along the patient care pathway. In addition to the mathematics, I will discuss communications with and benefits provided to healthcare staff and clinicians.

Summer Research Posters
Monday 29 August

Student(s) and Mentor(s) Title
Anna Fortunato REU NC State: (Dr. Mette Olufsen and PhD student Justen Geddes)  Understanding Heart Rate variability Using Signal Processing and Data Analysis
Mengle Hu, Simeng (Hannah) Li & Ruiyi Liu University of Richmond (Dr. Kvam) Analyzing the Statistical Effectiveness of Diagnostic Tests for COVID-19 Using the Receiver Operating Characteristic (ROC) Curve
Eli Chancey, Vahn Imani Corrothers & Lu Liu University of Richmond (Dr. Kerckhove) Distributed Denial of Service Attacks Through the Lens of Mathematical Game Theory
Nate Jareb, Heidi Yuan & Zhuoyuan (Young) Yao University of Richmond (Dr. Kerckhove) Cybersecurity: Noise Packet Insertion as Defense Against Man In the Middle Attacks