April 13 @ 9:00 am – 3:30 pm
April 13, 2023
9:00 am – 3:10 pm
Location: Blocker Bldg. room 220
About the event: The TAMIDS Workshop on Network Science will bring together researchers at Texas A&M interested in both theoretical and applied aspects of network science and graph analysis. Network science is a cross-cutting discipline that is broadly focused on studying systems of interconnected objects, examples of which include but are certainly not limited to social networks, power grids, gene regulatory networks, transportation networks, and knowledge graphs. These networked systems and datasets can be represented and analyzed as a graph—a mathematical abstraction involving vertices sharing pairwise connections called edges. Research on graph analysis is pervasive across many different disciplines including statistics, physics, mathematics, computer science, biology, and engineering. Research topics of interest cutting across all of these fields include:
- Generative models for networks
- Statistical inference on networks
- Measuring robustness and resilience in network structuers
- Measuring centrality and node importance in networks
- Network visualization
- Temporal network analysis
- Analysis of dynamical processes on networks
- Algorithmic and computational tools for various tasks including graph partitioning/clustering, node classification, link prediction, anomaly detection, and more
The purpose of this workshop is to foster interdisciplinary conversations and collaborations on various aspects of network science research across researchers at Texas A&M. This includes:
- Exposing researchers in applied areas of network science to useful computational, mathematical, and statistical tools for network analysis being developed in other settings
- Introducing researchers in more theoretical areas to open questions, tasks, and networked datasets arising in more applied domains
- Introducing interested students to various aspects of network science research and providing exposure to open research directions
In addition to talks from faculty members across different departments at Texas A&M, the workshop will include two special events during the lunch break.
Student poster session: Students who have done or are actively doing research on a network science related topic (broadly construed) are encouraged to register to present a poster.
Lightning introduction event: At the end of the lunch break, we will hold a short lighting session where participants will have the chance to introduce themselves in one slide to the rest of the participants. The slide should include your name, affiliation/department, and whatever you would like to include regarding your interests in network science.
The workshop is scheduled for April 13, 2023 from 09:00am-3:30pm in the Blocker building room 220.
9:00 – 9:25 am – Coffee/Breakfast
9:25 – 9:30 am – Opening Remarks
9:30 – 10:05 am – Faculty talk: Jesús Arroyo (Statistics)
10:10 – 10:45 am – Faculty talk: Astrid Layton (Mechanical Engineering)
10:50 – 11:10 am – Coffee break
11:10 – 11:45 am – Faculty talk: Victoria Crawford (Computer Science and Engineering)
11:50 – 12:25 pm – Faculty talk: Adam Birchfield (Electrical and Computer Engineering)
12:30 – 1:50 pm – Lunch and Student Poster Session
1:50 – 2:25 pm – Faculty talk: Tim Davis (Computer Science and Engineering)
2:30 – 3:05 pm – Faculty talk: Sharmistha Guha (Statistics)
3:10 pm – Closing remarks and end of workshop