🗓️ When? April 18th, 2024 from 4-5 PM 📍 Where? CoE Building A115

Exponent will be visiting our college this week to host a recruiting event for interested students. The event will begin with a presentation from two engineers at Exponent, followed by an interactive question and answer session. After the presentation portion of the event, free Momo's pizza and refreshments will be provided! For those wishing to attend, please fill out the RSVP form here:

Don't miss this great opportunity to learn more about engineering consulting as a career choice from professionals in the field! The recruiters will be accepting Resumes and CVs so please bring a copy of yours if you are interested.

🗓️ When? Feb 29th, 2024 from 4-5 PM 📍 Where? AME 106

This semester, we invited the esteemed Career Liaison from FAMU-FSU College of Engineering to speak at the MEGSA seminar. Our distinguished guests will share valuable perspectives on the services provided by the career center, emphasizing the wealth of resources tailored for graduate students.

Your presence is crucial to the success of this event, and we would like to encourage you to participate to glean valuable information that can greatly benefit our academic and professional pursuits.

02/19/2024 from 3:00 p.m - 6:00 p.m at CoE Atriums A & B

Welcome future engineers! MEGSA is thrilled to meet you at the Spring 024 involvement fair. Discover the world of mechanical engineering, learn about our graduate programs, and explore research and volunteer opportunities. Stop by our booth to connect with us, grab some cool MEGSA merchandise, and get insights into the vibrant student community we foster. Let's build the future together!

01/25/2024 from 4:00 p.m - 5:00 p.m at AME 106

Our first General Body Meeting (GBM) of this semester will be on Thursday, the 25th at 4:00 PM at the AME 106. We are super excited to see you again and to see new faces! We will be sharing with you our goals for this semester and update you on our progress.

Also, don't miss out on the opportunity to grab some exclusive MEGSA merchandise! We will be distributing merchandise during the meeting, and to sweeten the deal, snacks will be provided. Be sure to join us, enjoy the discussion, and indulge in some delicious treats!

    Sign-up now 10/10/2024 from 12:00 p.m - 02:00 p.m

The Mechanical Engineering Graduate Student Association (MEGSA) team welcomes graduate students, post-docs, research scientists, and faculty members from the mechanical engineering department for a social gathering to enjoy the BBQ cookout on Friday, 10/10 afternoon from 12:00 pm to 02:00 pm. Please consider sign-up for the event using the link provided in the advertisement. Feel free to share the event information with your colleagues at AME.

Seminar: An Eigenmodel for Dynamic Multilayer Networks

Speaker: Dr. Joshua Loyal | 09/21/2023 from 04:00 p.m - 05:00 p.m at AME 106

Network (or graph) data is at the heart of many modern data science problems: disease transmission, community dynamics on social media, international relations, and others. In this talk, I will elaborate on my research in statistical inference for complex time-varying networks. I will focus on dynamic multilayer networks, which frequently represent the structure of multiple co-evolving relations. Despite their prevalence, statistical models are not well-developed for this network type.

Here, I propose a new latent space model for dynamic multilayer networks. The key feature of this model is its ability to identify common time-varying structures shared by all layers while also accounting for layer-wise variation and degree heterogeneity. I establish the identifiability of the model's parameters and develop a structured mean-field variational inference approach to estimate the model's posterior, which scales to networks previously intractable to dynamic latent space models. I apply the model to two real-world problems: discerning regional conflicts in a data set of international relations and quantifying infectious disease spread throughout a school based on the student's daily contact patterns.