Our researchers continually develop AI and machine learning-powered innovations that address key challenges in healthcare, finance, cybersecurity, robotics, sustainability and other critical fields.
Stevens Institute for Artificial Intelligence collaborates with corporate and government partners on a wide variety of research projects. Learn more about our partnership with Eastech Flow Controls and find out how you can partner with Stevens.
See some of the past and ongoing AI-related research being conducted by members of Stevens Institute for Artificial Intelligence.
Stevens computer scientist Yue Ning designs AI to unlock patterns in data that can forecast civil unrest, hate speech, epidemics — maybe even a looming heart attack
Computer scientist Jia Xu works to pinpoint, analyze and remove potential sources of bias from the AI systems that approve or deny our mortgages, recommend jail sentences for criminals and more
Stevens co-develops method that integrates relevant data from multiple sources, learning and analyzing with more predictive power
Professor Marouane Temimi builds a tool that combines remote sensing and hydraulic modeling to enhance water supply and reservoir management.
Professors Damiano Zanotto and Kishore Pochiraju use artificial intelligence (AI) driven cyber-physical design to individualize treatment modalities for patients who have suffered lower limb trauma.
Professor Carlo Lipizzi has developed a system that uses AI, machine learning and Natural Language Processing (NLP) for data acquisition and manipulation to identify sustainability projects across industries.
Professor Samantha Kleinberg uses machine learning to analyze sensor data from stroke patients in medical centers, research that will better inform stroke diagnosis and treatment.
Stevens professor Negar Tavassolian develops new ways of imaging the surface of the skin and sensing our heartbeats, then processes those signals with new algorithms curated to intelligently detect skin cancer tumors and irregular heartbeats.
Professor K.P. Subbalakshmi built an AI-fueled application that has demonstrated it can detect early-warning signs of Alzheimer's disease, dementia and aphasia by analyzing text and voice based communications.