Artificial Intelligence & Advanced Computing Systems Collaboratorium

The main objective of this work is to improve machine intelligence which has applications in robotic survival, automated creative design, and management of complex systems like farms. 

RNA LAB Encompasses three areas: Cyber-Physical Systems, Networking and Computer Vision. The team vision is to explore innovative computing, networking, and machine learning...

Knowledge Representation and Reasoning (KR) is subfield of Artificial Intelligence (AI) where a fundamental assumption is that an agent's knowledge is explicitly represented in a declarative form, suitable for processing by dedicated reasoning engines.

This work develops watermarking and attribution frameworks for images and language models to ensure authenticity, ownership, and accountability in generative AI systems.

Analyzing highly diffused large-scale data, i.e., geo-distributed data analytics (GDA), in a timely and cost($)-efficient manner, is one of the most important workloads for many internet applications. This project aims to design and implement a new and...

By integrating multiple representations of software, source code tokens, abstract syntax trees, and program dependencies, our technique enables a deeper understanding of program structure and behavior...

The disaggregated storage system (DSS) is a promising direction for a storage framework in a large-scale data center. It provides more flexible resource management, straightforward upgrade and maintenance, and other features that enterprise storage systems desire. The connecting network becomes critical to the...

This research project aims to enhance the IEEE 802.11 Distributed Coordination Function (DCF) specifically tailored for IoT environments by incorporating advanced machine learning-based rate adaptation techniques. The focus will be on designing and developing a new rate adaptation algorithm using shallow neural networks ...

Falls in the U.S. lead to 800,000 hospitalizations and 27,000 deaths yearly. The financial impact on older fallers may reach $101 billion by 2030 as the population ages. Rural older adults have been shown to be at greater risk of falls than non-rural residents, because they are often more isolated and receive...

Automated, data-driven decisions are increasingly used in people’s everyday lives, from credit applications to healthcare diagnoses and even judicial decisions. Unfortunately, these approaches can perpetuate existing biases captured in the considered data and discriminate against underrepresented or...

This project identifies challenges and problems associated with suspicious activity reporting, develop and test innovative technologies to help alleviate these tensions and pain-points. Partnered with Sarpy County Sheriff’s Office & Awareity. Conducted focus groups with threat assessment teams...

This project looks to understand the role of AI as malign tool in facilitating novel attacks and advance empirical work on what aspects of technology impact trust, collaboration, and malevolent creativity.