News

March 18, 2024

April 12 Colloquium: "Learning to Understand Our Multimodal World with Minimal Supervision"

In this talk, I will present our recent research on creating AI systems that can learn to understand our multimodal world with minimal human supervision. I will focus on systems that can understand images and text, and also touch upon those that utilize video, audio, and lidar. 

March 13, 2024

CS Faculty Members Receive Spring 2024 Pitt Cyber Accelerator Grants

CS Faculty Members Drs. Lorraine Li, Diane Litman, and Ryan Shi receive Spring 2024 Pitt Cyber Accelerator Grants for various projects.

March 6, 2024

March 29 Colloquium: "Emission Factor Selection with Neural Language Models"

To avoid repetitive analysis, environmental impact factors (EIF) of common materials and products are published for use by LCA experts. However, finding appropriate EIFs for even a single product under study can require hundreds of hours of manual work, especially for complex products. We present Flamingo, an algorithm that leverages natural language machine learning (ML) models to automatically identify an appropriate EIF given a text description. 

February 28, 2024

Assistant Professor Longfei Shangguan Receives an NSF CAREER Award to Democratize Earable Computing Research

Dr. Longfei Shangguan (assistant professor) received an NSF CAREER award for his project “Ubiquitous Earable Sensing Using Low-Cost Earphones.”

February 23, 2024

March 22 Colloquium: "Multimodal Learning from Pixels to People"

People experience the world through modalities of sight, sound, words, touch, and more. By leveraging their natural relationships and developing multimodal learning methods, my research creates artificial perception systems with diverse skills, including spatial, physical, logical, and cognitive abilities, for flexibly analyzing visual data. 

February 22, 2024

March 1 Colloquium: "Towards Automating Machine Learning Engineering"

When a skilled machine learning engineer is tasked with building a system for a specific application, they take several steps. Some of these include doing a literature review of the most appropriate models and datasets, choosing which ones to utilize based on accuracy and other constraints such as efficiency or latency, creating or curating training and testing data, training and comparing models, identifying weak points of the current modeling paradigm and iteratively improving.

February 15, 2024

Dozens of SCI Students Attend Renowned Grace Hopper Conference

Last month, 33 students (18 in person and 15 virtually) from the School of Computing and Information (SCI) attended the Grace Hopper Conference (GHC) in Orlando, FL.

February 15, 2024

Assistant Professor Stephen Lee Receives NSF Grant for Designing Sustainable Distributed Infrastructures

Dr. Stephen Lee (assistant professor, Department of Computer Science) received a National Science Foundation (NSF) grant for his project, “Data-Driven System-Design for Sustainable Long-Lasting Distributed Infrastructures,” on Oct. 1, 2023.

February 15, 2024

Students Create Projects Aimed at Solving Problems in Healthcare During the Pitt Challenge 2023 Hackathon

In September, students from the School of Computing and Information, along with their peers from other schools within Pitt, came together to plan the Pitt Challenge 2023.

February 15, 2024

Dr. Jacob Biehl Is Building Systems That Reshape Space

For Biehl, an associate professor with a dual appointment in the Department of Information Culture and Data Stewardship and the Department of Computer Science, technical rigor and the usability needs of the people operating a system are not separate considerations.

February 14, 2024

Two CS Students Receive Honorable Mention in CRA Undergraduate Research Awards

Two students from the School of Computing and Information (SCI) Department of Computer Science have been recognized for their undergraduate research by the Computing Research Association (CRA)!

Kiana Ehsani
February 12, 2024

February 16 Colloquium: "From Boxed Bots to Home Robots: Imitate, Generalize, Personalize"

 In this talk, I will take you on a journey from the fundamental stages of imitation learning to the realms of personalized robotic companions. 

February 12, 2024

February 23 Colloquium: "Exploring Dual Perspectives in Computer-mediated Empathy"

 In this talk, I will focus on recent projects that explore how technologies can facilitate empathy. These approaches primarily focus on those who need to be empathized and help them express, reveal, and reflect on themselves. 

January 25, 2024

February 2 Colloquium: "AI for Public Sector Applications: Deployed Studies"

We will start with a 4-year collaboration with a crowdsourcing food rescue platform, where we combined offline ML model with online optimization to improve volunteer engagement. We will discuss our randomized controlled trial, and our experience rolling it out to over 25 cities across North America. 

November 2, 2023

December 1 Colloquium: "Towards bit-parallel database systems for analytic database applications"

In this talk, I'll present a new perspective on the data representation substrate for data platforms. I argue that a bit-level data shredding approach could offer significant advantages for future data platforms.