Stevens Launches Stevens Institute for Artificial Intelligence

Hoboken-based Stevens Institute of Technology has announced the formation of the Stevens Institute for Artificial Intelligence (SIAI), an interdisciplinary, tech-driven collaboration of engineering, business, systems and design experts working toward solving pressing global problems in industry and virtually every aspect of society.

This new initiative will bring a forward-thinking, holistic approach to exploring complex problems and creative new solutions for business advantage, social good and national security while advancing the engineering and science of artificial intelligence and machine learning.

“Artificial intelligence is transforming the world and industry as we know it, and the future of AI remains seemingly limitless,” said Jean Zu, dean of the Charles V. Schaefer, Jr. School of Engineering and Science. “In a world where AI-enabled innovation continues to rapidly evolve, SIAI and its Stevens collaborators will synergistically develop solutions to real-world problems, while providing a platform for training students to be the next generation of AI thought leaders.”

This institute, headed by K.P. “Suba” Subbalakshmi, professor of electrical and computer engineering and a Jefferson Science Fellow, will build upon existing AI and machine learning research at Stevens and will involve more than 40 faculty members across Stevens’ three schools and one college specializing in the following areas:

  • healthcare and biomedical applications
  • financial technology
  • cybersecurity
  • foundations of AI and machine learning
  • social impact
  • art and music
  • cognitive networking and computing
  • robotics, perception and human-machine interaction
  • energy and environment

This vision will flourish through the convergence of faculty research, the positive impact of partner organizations, and foundational research sponsors such as the National Science Foundation, National Institutes for Health and the Department of Defense, to serve humanity and positively influence virtually every aspect of society.

“The faculty’s knowledge of cognitive networking and computing, and depth of experience developing insights from massive data sets and machine learning applications, uniquely positions the SIAI to provide timely direction for advancing capabilities in healthcare, financial technologies, systems engineering environments and workforce enhancement,” said Zu. “We are excited about the growth opportunities that AI presents and using them to amplify existing excellence across labs and centers already engaged in intelligence research.”

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