Stevens Institute of TechnologyCollege of Professional Education
Applied AI for real workflows, built with our students.
Students learn alongside experts from both research and industry, turning real problems into working AI.
We build AI capability the Stevens way, by doing.
P.U.L.S.E. stands for Product, User experience, Learning systems and Engineering.
Students work with experts from both research and industry.
Teams improve the work people already do and create new AI solutions.
Every project trains the next builders and keeps the talent pipeline moving.
We design and run AI workflows and products across the college and with partners, from operations to teaching to student services. If it gives people hours back every week, it belongs here.
Projects at every stage, many not public yet
Students work on live problems with faculty, researchers and industry experts, with real users, deadlines and data rules. Not a case study. The work ships.
Every semester brings new problems in and new talent through. Projects outlast a cohort, so each team inherits working systems and leaves them better.
Six steps, in a loop. What we ship raises the next round of questions, and the people who built it help the ones who come next.
From a partner company, a faculty researcher or a CPE team. We ask who feels the pain, how often, and what better would look like.
Leaves behind: Problem brief
Faculty and practitioners help define the data, the constraints and the measure of success before anyone writes code.
Leaves behind: Scope and success measure
Students are matched by skill and interest, with a lab lead and a domain mentor. Everyone knows what they own.
Leaves behind: Student team and mentors
Working software every week, demoed to the people who asked for it. Feedback lands while it is still cheap to change.
Leaves behind: Weekly working demos
We test with real users and check accuracy, accessibility, privacy and cost. If it is not better than the old way, it does not ship.
Leaves behind: Evaluation and sign-off
The system goes into daily use with an owner and a way to measure it. Students leave with shipped work, and the next cohort picks up the roadmap.
Leaves behind: A system in use, and the people who built it
A few projects already in use at Stevens. Many more are in pilot, early development or stealth, so they are not shown here.
Executive intelligence for the college.
Live enrollment and pipeline insight for CPE leadership, with Navs, an assistant that answers questions about the data in plain language.
Accessible course materials, automatically.
Checks PowerPoint, Word and PDF files against WCAG 2.1 and Section 508, fixes what can be fixed safely, writes real alt text, and reports what still needs a person.
The whole life of a course, in one place.
Faculty draft course outlines with AI help, the studio runs production and quality checks, and vendors build in Canvas, with every step tracked.
An AI career agent for Stevens students.
Measures readiness for a target role, verifies skills with job-realistic assessments, rehearses interviews round by round, keeps the resume current, and brings in a Stevens advisor when a person is better.
Any deck, rebuilt on brand.
Turns rough presentations into Stevens-branded decks, then reviews every slide against the source so nothing is lost in the redesign.
A sample of what teams have taken on. New ones arrive every semester.
Tell us the problem, who it affects and what better looks like. We will tell you honestly whether the lab is the right fit.
Bring us a problemWant to work on a live project? Tell us what you study and what you want to build.
Ask about joiningSignals become systems. Systems become learning. Learning becomes capability.