Stevens Institute of Technology is exploring the leading frontiers of AI-powered technologies and applications to help make our lives safer, healthier, more sustainable and more enjoyable.
The university integrates AI into teaching and research across all four schools and nearly all academic departments and programs.
The Stevens Institute for Artificial Intelligence (SIAI) is part of a comprehensive, university-wide effort to assemble talented interdisciplinary faculty leveraging the new tools of AI to address a wide range of global challenges.
More than 100 Stevens faculty, across all four of the university’s schools, collaborate via Stevens’ AI research center.
SIAI’s director is an expert in robotic (both on land and underwater) as well as the promise of AI-powered technologies.
SIAI’s work is informed by the university’s flagship series of AI surveys probing American’s attitudes toward AI.
"As AI and machine learning race ahead, it’s critical to understand both the positive applications and the dangers. At Stevens, we’re helping lead the way forward on both fronts.”
Brendan Englot
Director, Stevens Institute for Artificial Intelligence (SIAI)
"As AI and machine learning race ahead, it’s critical to understand both the positive applications and the dangers. At Stevens, we’re helping lead the way forward on both fronts.”
Brendan Englot
Director, Stevens Institute for Artificial Intelligence (SIAI)
"As AI and machine learning race ahead, it’s critical to understand both the positive applications and the dangers. At Stevens, we’re helping lead the way forward on both fronts.”
Brendan Englot
Director, Stevens Institute for Artificial Intelligence (SIAI)
Stevens researchers deploy AI for many medical applications, including improved pharmaceutical manufacturing, Alzheimer’s and depression detection, cardiac health, wireless vital-sign monitoring, sports science and the prediction of epidemic disease spread.
Biomedical engineer Yu Gan uses AI to sharpen the images produced by MRI and other medical technologies, helping clinicians earlier-diagnose cardiac and other conditions.
Supported by NASA, researcher Negar Ebadi develops wireless monitors that use radar and cameras that can take the vital signs of multiple people in a small area without touching them… even in space.
Biomedical engineering Antonia Zaferiou’s team leverages AI to analyze the pitching motions of baseball players to improve coaching and training — and reduce strain and injury.
Stevens researchers design AI to keep us safer by doing everything from improving our monitoring of objects falling from space to boosting homeland security.
Researcher Kaijian Liu uses AI to analyze various data sources and spot aging bridges most likely to fail. His system is more accurate than human inspection alone.
Researchers in Stevens’ Davidson Lab use modeling, supercomputing and AI to predict storm surges, floods and sea-level rise — providing key warning and planning tools for community officials, planners and residents.
A suite of Stevens AI-powered tools classify and identify incoming aircraft before they arrive, in time to prepare defenses if needed. The same technology can also ‘hear’ insects in cargo containers and forest trees and flaws in manufacturing.
For all of AI’s power, it also incorporates and reveals biases as it operates. Stevens researchers are working at the leading edge of understanding and identifying those biases — so that they can be reduced and eliminated.
Researcher Jia Xu unearths the biases in the AI behind automated systems that provide mortgage-lending and jail-sentencing decision assistance to financial institutions and judges.
Researcher K.P. Subbalakshmi develops AI to spot medical and other disinformation.
Researcher Yue Ning designs AI systems to flag inflammatory and biased messages in online conversations, giving platform moderators another tool in tamping down the spread of hate.
Generating, using and storing clean and renewable energy is one of the great challenges of our time. Stevens researchers use AI to push the needle forward.
Researcher Philip Odonkor uses AI to optimize the planning of ‘smart’ buildings and local microgrids in order to ensure communities are equitably and sustainably connected to power resources.
Researchers Maroune Temimi and Knut Stamnes develop algorithms to sharpen satellite images of landforms and bodies of water, enabling closer study of climate change and food and water supplies.
Researcher Lei Wu develops AI to optimize power grids and the operation of hydroelectric power systems.
Doctoral candidate Louis Gomez works alongside award-winning Stevens computer scientist Samantha Kleinberg to develop AI-based systems that can monitor and predict blood-glucose levels of diabetic patients and assess the consciousness of stroke patients.
SIAI Director Brendan Englot discusses the challenges — and promise — of AI