Icarus statue outside of Raymond Nichols Hall

Current I2S Projects

Explore Ongoing I2S Projects

I2S Projects

  • EHS: Dynamic Hardware Recognition

    This project combines commercially available, hybrid devices and a novel run-time system with the goal of building systems with better performance and fewer resources

  • GenCyber Summer Camp

    The University of Kansas (KU) will host the 2022 GenCyber Summer Camp for Teachers on July 25 - July 29, 2022. This teacher camp is supported by the National Security Agency (NSA) and the National Science Foundation (NSF). It is part of the GenCyber Program. The general goals of the program are: (1) Ignite, sustain, and increase awareness of K12 cybersecurity content and cybersecurity postsecondary and career opportunities for participants through year-round engagement; (2) Increase student diversity in cybersecurity college and career readiness pathways at the K-12 level; and (3) Facilitate teacher readiness within a teacher learning community to learn,

  • CyberCorps: New Scholarships for Service (SFS) Program at the University of Kns…

    The University of Kansas School of Engineering and the Electrical Engineering and Computer Science Department received a 5-yr (2016-2020) grant from the National Science Foundation CyberCorps for Scholarships Service program to train students who choose the professional specialty of cyber security, and prepare them to succeed in challenging careers in government agencies, to enhance security of critical national information infrastructure. The scholarship gives undergraduate students up to two years of tuition (16 hours a semester for undergrads), professional development($4000/year), books($2,000/year), health insurance($3,000/year) and a stipend for living expenses of $22,400/year(paid monthly over 10 months). Graduate students are eligible for two years and Ph.D. students are eligible for three years of tuition, professional development, insurance plus living expenses of $34,000. Also, students have the opportunity to participate in cutting edge research, regional and national cyber security competitions, and the program offers assistance to students in finding internships and job opportunities within the federal government.

  • doseR: A Novel Linear Modeling Framework for Dosage Compensation Analysis

    This research aims to develop and make broadly available a novel statistical methodology for analyzing patterns of gene expression that result from differences in chromosome copy number, in particular as arise on the sex-chromosomes (e.g. XX females versus XY males).This research aims to develop and make broadly available a novel linear-modeling statistical methodology for analyzing sex-chromosome dosage compensation using genome-wide RNA-seq expression data.

  • StairCASE

    This work proposes to autmatically synthesize remote attestation support for user-space applications. Without such support, it will be difficult to field trusted computing techniques for applications that require sophisticated measurement capabilities. This work will synthesize components that plug into our ArmoredSoftware infrastructure.

  • CSR: Small: Collaborative Research: Real-Time Computing Infrastructure for Inte…

    Autonomous cars and drones demand high computational performance to process massive amount of real-time data while also keeping their size, weight, power and cost to an acceptable level. Graphics processing unit (GPU) is specially designed hardware to efficiently process such large data. Therefore, it is increasingly being integrated in new generations of computer chips. Unfortunately, such integrated chips often exhibit unpredictable timing behaviors due to unregulated use of shared hardware resources that can prevent timely execution of critical tasks. This project will create a new real-time computing infrastructure for GPU integrated computer chips to provide predictable timing and high-performance.

  • NRI: INT: COLLAB: An Autonomous Insect Sense, Identify and Manage Platform (SIM…

  • Lablet - Kulkarni

    The KU Science of Security Lablet is making interdisciplinary contributions to security science synthesizing knowledge and innovation from computer science, electrical engineering, psychology, sociology, and philosophy. The Lablet’s work includes focuses on the foundational nature of resiliency, defining and establishing trust, understanding privacy in IoT architectures, understanding and preventing side-channel attacks, and developing techniques for secure, native binary execution. In all areas the Lablet seeks foundational solutions rooted in formal mathematical analysis and empirical scientific study. The interface between analytical and experimental research promises a broad basis for understanding security problems and solutions. Applications are drawn primarily from cyber physical systems and internet of things where proliferation and rapid change present increasingly difficult security problems.

  • VOLTA (Vulnerabilities Out of Learned Timed Automata)

    Modern, networked, cyber-physical systems pose a special challenge for Cyber Vulnerability Assessment. Communication protocols may be inherently vulnerable, may be implemented in an unsafe manner, or may be vulnerable to timing attacks, in which carefully-timed inputs can be used to disrupt system operations. Developed under AFRL's NOVA program, Adventium Labs’ VOLTA software automates the process of exploring the behavior of implemented systems, including timed behavior. This automation may save days or weeks of effort by specialized analysts. Because it learns implemented behavior, VOLTA can be applied to legacy systems, even where documentation is not available, or as a design aid to identify vulnerabilities in systems currently being designed or modified. When completed, VOLTA will join Adventium's other behavior analysis tools on the CAMET® Library, similar to SLICED.

  • CRII: NeTS: Beyond PHY and Channel Measurements in Millimeter Wave: Towards Low…

  • Near-Memory Acceleration of Layer-5 Network Protocols


  • SmartXAutofill

    SmartXAutofill is an intelligent assistant that automates data entry for XML documents by predicting the values of the XML fields. Our technology supports the complexity and nested structures of XML grammars, and incorporates approximate predictive techniques from Machine Learning. SmartXAutofill achieves much higher accuracy then current auto-complete technologies can offer.

  • Implementing a New Parallelization Model for Virtual Machines

    ITTC researchers are developing a more secure and efficient framework for virtual machines (VMs), which ensure compatability between applications and the devices running them.

  • Coded APSK for Improved Spectral Efficiency in Aeronautical Mobile Telemetry

    The objective of the Coded APSK for Improved Efficiency in AMT effort is to tailor the APSK modulation scheme to support Aeronautical Mobile Telemetry operation and add forward error correction schemes such as Low Density Parity Check (LDPC) to address any issues regarding loss of telemetry link margin.

  • Space Time Coding for Multi-h CPM

    The goal for the KU team: develop a more efficient modulation algorithm using Space Time Coding with Multi-h Continuous Phase Modulation, or "Multi-h CPM." The resulting technology will allow the Test Resource Management Center and Department of Defense to run Space Time Coding using more limited bandwidth.

  • CDS&E: Collaborative Research: A Computational Framework for Reconstructing and…

    The normal heart functions by contracting and pushing the blood from the left ventricle into the rest of the body. Due to various diseases, the contraction capabilities of the heart become diminished in certain regions of the heart chamber wall, compromising the overall function of the heart. In order to identify and select optimal treatment, it is critical to identify the regions of the heart wall that exhibit reduced contractions. Unfortunately, contractions cannot be easily measured. This project will estimate the stress (contraction power) developed within the heart muscle by combining medical imaging and mechanical modeling of the heart. These stresses will serve as a quantitative measure of the contractile function of the heart and help detect and localize disease. Therefore, this research has the potential to evolve into a future tool to diagnose cardiac function. This project will also feature a synergistically integrated education and outreach program. We will foster research opportunities for graduate and undergraduate students in computer science, biomedical engineering, mathematics, and imaging science at Rochester Institute of Technology and the University of Kansas. The PIs will develop innovative hands-on workshops to inspire and educate K-12 students from underrepresented groups on biomedical computing and medicine.

  • CANSeC: The Central Area Networking and Security Workshop

    The Central Area Networking and Security Workshop (CANSec), which was formerly known as the Greater Kansas Area Security Workshop (KanSec), aims to bring together researchers and practitioners in networking and security-related fields in the central area of the US.

  • CRII: SaTC: Creating and Managing Structurally-Morphing IT Systems - Moving Tar…

  • EAGER: SaTC: Early-Stage Interdisciplinary Collaboration: Collaborative: A Soci…

    This project will develop a new metrics framework that measures and validates SOC performance against enterprise network security. The specific goal is to create a framework that SOCs and parent organization personnel could use to create tailored metrics for their unique security environment. The research includes a technical study of network monitoring, as well as a qualitative approach to the study of organizational environments that analyzes people and technological artifacts as interacting components in complex systems and describes stability and change in the functioning or mis-functioning of these systems. By treating networks, security components, and operations staff as part of an interdependent system, the metrics will be able to account for factors such as outstanding security vulnerabilities, strategic and long-term planning, and constituency interests, and will provide on-the-ground SOC analysts with ways to input local knowledge into higher-up decisions.

  • Parametric Resonances in Time-Varying Media for Optical Limiting Application

    In this research program we focused our investigation on the following aspects of the electromagnetic interaction with time-varying media: 1) The physical processes suitable to dynamically induce large permittivity changes in specifically selected regions of space. 2) The resonant eigenmodes of metallic nanostructures embedded in media with time-varying permittivity, and the conditions of parametric regeneration and parametric resonance. 3) Optical limiting effects relying on plasmonic parametric resonance. 4) The study of tunable extreme anisotropy.