- Basheer Qolomany, “The Role of Artificial Intelligence and Machine Learning in Complex Systems” (4/24/2023) - When: Friday, April 28, 2:00 PM Where: CBLS 100 Who: Basheer Qolomany, University of Nebraska at Kearney The Role of Artificial Intelligence and Machine Learning in Complex Systems Abstract: Current methods for diagnosing PAD require specialized vascular laboratory tests and do not allow natural environment detection, monitoring, or management of chronic PAD disease. The research […]
- Shaun Wallace, “Human-Centric Systems for Quality Data” (4/17/2023) - When: Wednesday, April 19, 10:00 am Where: Ranger 208 Abstract: Information is often interpreted through tools, recently AI tools which sit closer to the user than the source information. From ChatGPT to instant answers on Google search and voice services on Siri and Alexa, these tools are only as good as their sources, especially for […]
- New England Computer Science Teachers Association Conference (3/21/2023) - The New England chapter of the Computer Science Teachers Association (CSTA) is coming to UConn at Storrs on October 20, 2023. Educators of all grade levels, including post-secondary, education leaders, library media specialists, administrators, coaches, school counselors, and researchers are welcome to join in the fun! We will focus on BUILDING CS PATHWAYS. Keynote speakers […]
- Haihan Yu, “A Composite Empirical Likelihood Method for Time Series in Frequency Domain Inference” (2/24/2023) - When: Mar 3rd, 11:00-12:00 Where: Tyler 053 Zoom link: https://uri-edu.zoom.us/my/guangyuzhu Abstract: Frequency domain analysis of time series is often difficult, as periodogram-based statistics involve non-linear averages with complicated variances. Due to the latter, nonparametric approximations from resampling or empirical likelihood (EL) are useful. However, current versions of periodogram-based EL for time series are highly restricted: […]
- Matthew Wascher, “Monitoring disease prevalence and transmission in a population under repeated testing” (2/24/2023) - When: Mar 2nd, 14:00-15:00 Where: Tyler 053, Zoom link: https://uri-edu.zoom.us/my/guangyuzhu Abstract: In this talk, I will describe a statistical methodology developed as part of the COVID-19 monitoring efforts of The Ohio State University (OSU) and which is designed for monitoring disease transmission using repeated testing data. Under a repeated testing scheme in which individuals who […]
- Xihao Li, “Statistical methods for integrative analysis of large-scale whole-genome sequencing studies” (2/24/2023) - When: Feb 28th, 13:30-14:30 Where: Tyler 049 Abstract: Large-scale whole genome sequencing (WGS) studies have enabled the analysis of rare variants (RVs) associated with complex human traits. There are several challenges in analyzing WGS data, including computation scalability, limited scope to integrate variant biological functions, and lack of ability to leverage summary statistics across multiple […]
- Fei Dou, “Machine Intelligence of Ubiquitous Computing in the Internet of Things” (2/17/2023) - When: Friday, February 24th, 1:00-2:00PM Where: Beaupre 105 Abstract: The penetration of technologies such as Machine Learning (ML), Artificial Intelligence (AI), wireless broadband, and the Internet of Things (IoT) is propelling the rapid adoption of ubiquitous devices across a variety of sectors. However, the enhancement of machine intelligence in ubiquitous computing in the IoT is […]
- Xuhao Chen, “Domain Specific Computing on Graphs” (2/17/2023) - When: Thursday, February 23rd, 1:30-2:30PM Where: Woodward 216 Abstract: Numerous applications in social networks, e-commerce, biomedicine and security, are driven by graph algorithms. The graph data is massive and sparse, which poses great challenges in computing system design. In this talk, I will discuss the approach known as domain specific computing, to address this challenge. […]
- Machine Learning Workshop Series (Spring 2023) (2/14/2023) - Hands-on workshops covering some introductory Machine Learning tools and techniques. Python Tools for Machine Learning – February 10th Classes in Python, Deep Learning Frameworks – February 24th Training and Fine Tuning Models for Downstream Tasks – March 24th Reporting Your Findings in LaTeX – April 14th February 10th, Python Tools for Machine Learning The first […]
- Sidi Lu, “Toward Reliable, Scalable, and Efficient Edge-enabled Applications for Connected Vehicles” (2/7/2023) - When: February 13, 2023, 1-2 pm Where: Beaupre 105 As a mobile sensing, computing, communication, and energy storage platform, connected vehicle is transforming from the vehicle-centric, closed, fixed-function vehicle to the AI-centric, connected, and software-defined vehicle that enables vehicle-to-everything and vehicle-to-grid. However, this evolution brings a series of technical challenges across diverse areas (e.g., inference […]
- Computer Science Diversity Equity and Inclusion Graduate Assistant (CS DEI GA) (2/2/2023) - Position Title: Computer Science Diversity Equity and Inclusion Graduate Assistant (CS DEI GA) Role Summary: This position provides overall Diversity, Equity and Inclusion support for the Department of Computer Science and Statistics. In particular, the work involves participating in four specific projects: Pathways to Success in Computer Science (P2SinCS), IGT Scholarships for Women in Computer […]
- Tenure Track Faculty Position in Statistics (11/2/2022) - University of Rhode Island Department of Computer Science and Statistics The Department of Computer Science and Statistics in the College of Arts and Sciences (A&S) at the University of Rhode Island invites applications for a tenure-track Assistant Professor of Statistics position with appointment to begin the academic year 2023-2024. DUTIES AND RESPONSIBILITIES: The […]
- Tenure-Track Faculty Position in Computer Science (10/17/2022) - The University of Rhode Island invites applications for a tenure-track Assistant Professor in the Department of Computer Science and Statistics. We seek candidates who can contribute to both teaching and research in computer science. Of particular interest are candidates with expertise in the broad area of computer systems and its application across multiple disciplines. The […]
