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Stevens Institute for Artificial Intelligence

The Stevens Institute for Artificial Intelligence (SIAI) is an interdisciplinary, tech-driven collaboration of engineering, business, systems and design experts working toward solving pressing global problems in industry and the world. 

Stevens Institute for Artificial Intelligence is composed of more than 100 faculty members from all academic units at Stevens (engineering, business, systems and arts & music) researching a variety of applications in AI and machine learning. SIAI hopes to amplify the impact of its research and analysis through collaborations with industry, government, foundations and academic partners.

Our Vision

Artificial intelligence is transforming the world and industry as we know it, and the future of AI remains seemingly limitless. In a world where AI-enabled innovation continues to rapidly evolve, SIAI and its Stevens collaborators will synergistically develop solutions to real-world problems.

Founded on that premise, the Stevens Institute for Artificial Intelligence envisions the exploration of opportunities to advance AI and machine learning to serve humanity and to improve disciplines such as healthcare, business operations, the workplace and education.

This vision will flourish through the convergence of faculty research, the positive impact of partner organizations and agencies, foundational research sponsors like the National Science Foundation, National Institutes for Health and the Department of Defense; and the deployment of AI and machine learning solutions for business advantage, social good, and national security.

Focus Areas for the SIAI

  • Art and Music

  • Cognitive Networking and Computing

  • Cybersecurity

  • Environment and Energy

  • Fintech

  • Foundations of AI & Machine Learning

  • Healthcare & Biomedical

  • Robotics, Perception & Human-Machine Interaction

  • Societal Impact

Experience and Expertise

Cross-disciplinary collaboration among faculty and research experts from Stevens’ Schaefer School of Engineering and ScienceSchool of BusinessSchool of Systems and Enterprises and College of Arts and Letters gives the Stevens Institute for Artificial Intelligence a forward-thinking, holistic approach to exploring complex problems and creative new solutions that impact society while advancing the engineering and science of artificial intelligence and machine learning.

SIAI Leadership

Brendan Englot, SIAI Director Brendan EnglotProfessor Brendan Englot

Dr. Brendan Englot (Geoffrey S. Inman Junior Professor, Associate Professor of Mechanical Engineering, and SIAI Director) has fifteen years of experience developing and deploying mobile robots and autonomous navigation algorithms via land, air and sea. His research uses artificial intelligence to improve the situational awareness of mobile robots operating in degraded conditions, and to enable intelligent robot decision-making under uncertainty. His work in A.I. is supported by the National Science Foundation, the Office of Naval Research, the U.S. Army, and various sponsors in industry.

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Affiliated Faculty

SIAI’s corporate partners benefit from the breadth of knowledge of more than 100 affiliated faculty members to address ongoing initiatives and new endeavors.

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Related Academic Programs

Stevens' academic programming in Artificial Intelligence help students develop depth in core concepts that build a foundation for artificial intelligence theory and practice.

How We Partner

Stevens’ rich history of technological innovation has created an entrepreneurial environment that breeds a solution-oriented mindset where industry partners benefit from collaborating with creative minds exploring the limitless possibilities in the AI environment. Our technology expertise and research resources provide the collaborative, competitive edge that today’s businesses need to enhance operations.

A History of Developing Impactful AI Applications

Our researchers continually develop AI and machine learning-powered innovations that address key challenges in healthcare, finance, cybersecurity, robotics, sustainability and other critical fields.

NASA Funds Stevens AI to Help Monitor NYC Water Supply

Professor Marouane Temimi builds a tool that combines remote sensing and hydraulic modeling to enhance water supply and reservoir management.

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screenshot of the Ashokan Reservoir

Stevens Team Secures $1.19 Million from the DoD to Advance Robot-Assisted Exercise Therapy

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.

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graphic of AI brain connecting to medical technology

Dr. Carlo Lipizzi and Stevens Faculty Awarded First Place in Siemens Tech for Sustainability Campaign

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.

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depiction of AI and sustainability

Kleinberg Receives $2.3 Million to Develop Artificial Intelligence that Improves Doctor–Patient Collaborations

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.

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abstract biomed image

Stevens Heart-Monitoring Systems Integrate Wearable Sensors, Radars and AI to Listen To Your Heartbeat

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.

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abstract image of a heart

This Stevens Algorithm May Help Identify Early Signs of Alzheimer's By Scanning Social Media Posts, Phone Calls

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.

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abstract image of AI brain

These Smart Underwater Robots Will Soon Help Us Inspect Where We Don't Want To

Professor Brendan Englot, a robotics expert, uses machine learning to teach remotely operated underwater vehicles (ROVs) to build better maps in real time as they navigate in murky, changing conditions inspecting bridges, piers, pipes and ships.

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Contact SIAI

Please feel free to reach out to us if you have any questions or would like to request more information.