Presentation

iLunch Talk (April 23) Lattice-Based Contextual Integrity Analysis of Social Network Privacy Policies

Lattice-Based Contextual Integrity Analysis of Social Network Privacy Policies When: Friday April 23, 12 noon – 1:00 pm Where: Zoom Meeting ID:  863 9169 3528   Password: 393849 Who: Stephen Kaplan, Dylan Bulmer, Avery Gosselin Affiliation: PERC_Lab, SCIS Abstract: Use of online social networks (OSNs) is increasingly prevalent in modern social circles, motivating consumers to further integrate themselves into the ecosystems of social media […]

Read more

 iLunch Talk (Dec 4) Engineering Bio-Inspired Materials

What: Engineering Bio-Inspired Materials When: Friday December 4, 12 noon – 1:00 pm Where: Zoom Meeting ID:  868 1226 1972      Password: 847943 Who: Caitlin Howell Affiliation: Assistant Professor of Biomedical Engineering at the University of Maine Abstract: Over millions of year, nature has developed elegant solutions to a wide variety of problems. Thanks in part to recent advances in materials science, we are […]

Read more

iLunch Talk (Nov 20) A Concentration of Measure Approach to Social Network Deanonymization

What: A Concentration of Measure Approach to Social Network Deanonymization  When: Friday November 20, 12 noon – 1:00 pm Where: Zoom Meeting ID:  860 2707 4223      Password: 198846 Who: Farhad Shirani Affiliation: Assistant Professor at the Electrical and Computer Engineering Department at North Dakota State University Abstract: As web tracking technologies become more sophisticated and pervasive, there is a critical need to understand […]

Read more

Robert Powell MS Thesis Defense in Computer Science

Date:  Monday, November 23rd Time: 12pm noon Zoom Connection Info: https://maine.zoom.us/j/89376362608?pwd=Q0h4NkNhQUhJTjA5VXNDVU5BVVNPdz09 Meeting ID: 893 7636 2608 Password:  059076 Title: Approximating first order logic ontologies in OWL Abstract:  With the amount of data collected everyday ever expanding, techniques which allow computers to semantically understand data are growing in importance. Ontologies are a tool to describe the […]

Read more

 iLunch Talk (Nov 13) Role of Prediction Models in Object Tracking  

What: Role of Prediction Models in Object Tracking When: Friday November 13, 12 noon – 1:00 pm Where: Zoom Meeting ID: 862 4045 8908  Password: 578745 Who: Suren Kumar Affiliation: Senior Applied Scientist at Amazon Abstract: Estimation of a time-varying state such as the position of cars around a self-driving car, measuring a drone’s pose using cameras, the temperature at a location, is […]

Read more

iLunch Talk (Nov 6) Deep Learning with LIDAR and its Vulnerabilities

What: Deep Learning with LIDAR and its Vulnerabilities  When: Friday November 6, 12 noon – 1:00 pm Where: Zoom Meeting ID: 899 1138 2631  Password: 206904 Who: Theodore Nowak Affiliation: Data Scientist within the Data Science and Analytics group at Pacific Northwest National Laboratory (PNNL). Abstract: As Autonomous Vehicles and other Robotic systems become increasingly ubiquitous, so too do the Light Intensity Detection And […]

Read more

 iLunch Talk (Oct 23):  Fundamental Limits of Graph Convolutional Networks of Moderate Depth 

What: Fundamental Limits of Graph Convolutional Networks of Moderate Depth  When: Friday October 23, 12 noon – 1:00 pm Where: Zoom Meeting ID: 894 9387 1010  Password: 119468 Who: Abram Manger Affiliation: Assistant Professor in the Department of Computer Science at the University at Albany, SUNY. Abstract: Graph convolutional networks (GCNs) are a widely used method for graph representation learning. To elucidate the capabilities and […]

Read more

 iLunch Talk (Oct 16): Modelling Connectivity: An Alternative Approach to Neural Network Compression  

What: Modelling Connectivity: An Alternative Approach to Neural Network Compression  When: Friday October 16, 12 noon – 1:00 pm Where: Zoom Meeting ID: 854 8826 5959  Password: 986329 Who: Madan R. Ganesh Affiliation: PhD Candidate at the University of Michigan and Sekeh Lab (UMaine). Abstract: We all know that larger and deeper neural network models are the modus operandi in tackling real-world problems. However, the focus on […]

Read more

Semantic Inference from Natural Language Privacy Policies (Sept 25, 5 pm)

Title: Semantic Inference from Natural Language Privacy Policies Abstract:  Several state laws, along with app markets, such as Apple’s App Store and Google Play, require app developers to provide users with legal privacy notices (privacy policy) containing critical requirements that inform users about what kinds of personal information is collected, how the data is used, and […]

Read more