AI Research Initiative (AIR)

Connect & Engage

Cross-Disciplinary Machine Intelligence Research

The AIR Initiative's primary focus is developing new computational models for general artificial intelligence—agents capable of human-like skills and learning. The initiative spans computer vision, natural language processing, machine learning, robotics, and human-computer interaction research, while also advancing AI education at Boston University.

AIR Initative News

Mark Crovella: How Hidden AI Bias Threatens Fairness

By Brendan Galvin, CISE Staff Boston University computer scientist Professor Mark Crovella has spent years studying the unseen mechanisms that shape what people encounter online—from recommendation algorithms on platforms like YouTube to the powerful large language models (LLMs) now driving AI systems. His research explores how these technologies can unintentionally amplify bias and misinformation, influencing […]

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New Research Introduces Privacy-Preserving AI Framework for Detecting Cognitive Impairment from Voice Recordings

By Hariri Institute Staff A collaborative team of researchers, including Hariri Institute faculty affiliates Vijaya Kolachalama, PhD, FAHA, associate professor of medicine, and Rhoda Au, professor of epidemiology, anatomy & neurobiology, has developed a new computational framework that can detect early signs of cognitive impairment from digital voice recordings—while protecting individual privacy. The findings, published in […]

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Eshed Ohn-Bar Recognized with College of Engineering Early Career Research Excellence Award

By Maureen L. Stanton Hariri Institute Junior Faculty Fellow Eshed Ohn-Bar has received the Boston University College of Engineering (ENG) Early Career Research Excellence Award for 2025.  Ohn-Bar, an assistant professor of electrical and computer engineering, leads the Human-to-Everything (H2X) Lab at BU, which develops intelligent technologies with robust autonomy and real-time assistance capabilities. His research […]

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BU-led interdisciplinary research team is developing the first anatomy-aware GenAI model for lung abnormalities

By Maureen L. Stanton In 2021, OpenAI launched a GenAI model called DALL-E that captivated the world with its ability to generate an image instantly with a simple text caption. Now GenAI models are poised to transform virtually every industry, particularly healthcare. AI-powered image generators are typically built on foundational models. Using machine learning algorithms, […]

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NIH Awards $3.1M Grant to Kayhan Batmanghelich for Pulmonary Biomarker Research

Kayhan Batmanghelich, Assistant Professor of Electrical & Computer Engineering, Hariri Institute Junior Faculty Fellow and AIR Affiliate at Boston University, was awarded a $3.1 million competitive renewal R01 grant from the National Institutes of Health’s National Heart, Lung, and Blood Institute. With this grant, Batmanghelich will lead transformative research on Chronic Obstructive Pulmonary Disease (COPD) with collaborators from Boston University College of Engineering, University of Pittsburgh School of Medicine and Brigham and Women’s Hospital. The AI-driven approach integrates Multi-Modal Data and Biomechanics for Better Diagnosis and Tracking of Chronic Obstructive Pulmonary Disease (COPD).

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Join Us

AIR hosts weekly meetings at the Hariri Institute for Computing. Research talks include PhD student presentations on ongoing or published work, local guests from the greater Boston area, and distinguished speakers from other universities and industry partners.

Tuesday, September 29, 2026

AIR Seminar, Fuxin Li, Professor, Oregon State University

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