Information on open student Research Assistant positions here

Current Projects

A: Robustness in AI Systems

• Handling Uncertainty in Multimodal Data using Generative Algorithms:  This project explores generative AI to create realistic network attack data and strengthen the ability of intrusion detection systems to detect evolving cyber threats.
• Leveraging topological structure to drive safe imputations: TBA

B: Software Engineering for Machine Learning

We examine the challenges, tools, theories, and techniques involved in writing reliable and efficient imperative Deep Learning (DL) programs. [More Info]

• Refactorings and Technical Debt in Machine Learning Systems
• Semantic Preservation in Machine Learning Systems

C: Advanced Machine Learning for Adverse Pregnancy Outcomes

We design and apply advanced machine learning and stochastic modeling to complex clinical data to improve the prediction and prevention of adverse pregnancy outcomes, particularly preterm birth and preclampsia, across different stages of pregnancy.

• Bias free algorithms for preterm birth and preeclampsia risk prediction

D:   Algorithms for Decoding the Biological Molecular Arms Race

This project uses computational methods to study how complex biological traits evolve and function by analyzing the remarkable diversity of animal venom and its highly selective interactions with ion channels.

• MARC: Molecular Arms Race Classifier

E: Multiagent Decision Support Systems for Urban Infrastructure: 

The goal of this research is to develop an analytical decision-support framework that provides quantitative insights for timely and effective deployment of alerts and resources in urban settings. 

• Intelligent Agent-based Flood Tracking and Impact
• Decision Support for Water Main Maintenance
•  Meta-level control for Connected Autonomous Vehicles  

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Click here for DAIR Lab Past Projects (2003-2019)

Click here for theses and projects supervised (2003-Present)