collaborators

5 papers

cs.CV2025

Adapt, But Don't Forget: Fine-Tuning and Contrastive Routing for Lane Detection under Distribution Shift

Mohammed Abdul Hafeez Khan, Parth Ganeriwala, Sarah M. Lehman +3

Lane detection models are often evaluated in a closed-world setting, where training and testing occur on the same dataset. We observe that, even within the same domain, cross-datas…

eess.SY2025

Automating Physics-Based Reasoning for SysML Model Validation

Candice Chambers, Summer Mueller, Parth Ganeriwala +2

System and software design benefits greatly from formal modeling, allowing for automated analysis and verification early in the design phase. Current methods excel at checking info…

cs.HC2025

Design and Validation of Learning Aware HMI For Learning-Enabled Increasingly Autonomous Systems

Parth Ganeriwala, Michael Matessa, Siddhartha Bhattacharyya +5

With the rapid advancements in Artificial Intelligence (AI), autonomous agents are increasingly expected to manage complex situations where learning-enabled algorithms are vital. H…

cs.CV2025

Runway vs. Taxiway: Challenges in Automated Line Identification and Notation Approaches

Parth Ganeriwala, Amy Alvarez, Abdullah AlQahtani +3

The increasing complexity of autonomous systems has amplified the need for accurate and reliable labeling of runway and taxiway markings to ensure operational safety. Precise detec…

cs.CV2024

Exploring Machine Learning Engineering for Object Detection and Tracking by Unmanned Aerial Vehicle (UAV)

Aneesha Guna, Parth Ganeriwala, Siddhartha Bhattacharyya

With the advancement of deep learning methods it is imperative that autonomous systems will increasingly become intelligent with the inclusion of advanced machine learning algorith…