The Schedule
April 13, 2024
Pray Harrold, room 201
Pray Harrold, room 201
Registration 8:00 - 9:00 am
Pray Harrold building, 2nd floor
9:00 - 9:30
Optimal Training for Adversarial Games
Ovidiu Calin
9:30 - 10:00
Enhancing Efficiency in Embedded Machine Learning: Techniques for Neural Network Deployment
Ourania Spantidi
10:00 - 10:30
On Some Machine Learning Techniques with Applications to Statistics.
Tanweer Shapla
10:30 - 11:00
Towards an Indoor Gunshot Detection and Notification System using Deep Learning.
Tareq Khan
11:00 - 11:30
Contrastive Learning for Cross-Language Function Embeddings in Code Search
Siyuan Jiang
11:30 - 12:00
Learning Manifolds in high dimensional Euclidean Space and Whitney Extensions
Steven Damelin
12:00 - 12:30
Enhancing Robustness in Deep Learning: Insights from Unsupervised Domain Adaptation, Compound Domain Challenges, and Large Language Models.
Fei Pan
12:30 - 13:30
Lunch
cafeteria, second floor
13:30 - 14:00
Comparative Analysis of Machine Learning Algorithms for Predictive Statistics on Lung Cancer Patients
Samuel Massnick
14:00 - 14:30
3D printing Exhibition & Coffee
main lobby 2nd floor
14:30 - 15:00
Sign Language Hand Gesture Recognition using Google's Media Pipe.
Jason Eckardt-Taing
15:00 - 15:30
A Survey of Deep Learning Computer Vision Algorithms in Mobile Robotics
Katherine Berry
15:30 - 16:00
AI Text Classification Using Ensembled Transformer Models
Brian Cong
16:00 - 16:30
CodeContext: Integrating External Context for Enhanced Source-Code Model Performance in Software Development
Mohammad Arjamand Ali
16:30 - 17:00
Harnessing Machine Learning and Neural Networks for English Alphabet Letter Recognition
Matthew Gordon
17:00 - 17:30
Human Actions Through Computer Vision Insights
JaSai Kimsey