As research universities push technical talent into real-world systems, builders like Yogesh Rethinapandian show how graduate research, semiconductor work, and entrepreneurship are beginning to overlap.
For decades, America’s research universities have been measured by what happens inside the lab: papers published, experiments completed, grants awarded, patents filed, and students trained.
But a new kind of STEM story is becoming more visible.
It is not only about completing a degree or producing research. It is about what happens when technical students and young researchers begin carrying that research mindset into the real world, where problems are less controlled, markets move faster, and systems fail in ways that do not always fit inside a classroom.
That shift matters because many of the country’s most important challenges are no longer purely academic or purely commercial. Semiconductor security, artificial intelligence hardware, wireless infrastructure, transportation, and supply-chain resilience all require people who can move between research depth and practical execution.
The University of Illinois Chicago is one example of the kind of environment where that overlap can take shape. UIC is Chicago’s only public research university, with more than 34,000 students across 16 colleges, and holds the Carnegie R1 designation for very high research activity.
For students trained in that setting, graduate school can become more than a path to a credential. It can become a testing ground for how to think about systems.
That is the path Yogesh Rethinapandian followed.
Rethinapandian, a computer engineering graduate from the University of Illinois Chicago, built his technical work around advanced semiconductor and communication systems. His research has included chiplet security for AI accelerators, die-to-die interconnect protection, 5G millimeter-wave systems, and printed Reconfigurable Intelligent Surfaces. The common thread across that work is trust, infrastructure, and how complex systems move information reliably.
In one research direction, Rethinapandian examined security gaps inside chiplet-based AI accelerators, where sensitive data can move between dies through high-speed internal links. As AI hardware becomes more modular, that kind of work speaks to a growing concern in semiconductor manufacturing and advanced packaging: the future of computing depends not only on faster chips, but on trusted connections between them.
In another direction, he studied 5G millimeter-wave infrastructure through aerosol-jet printed silver nanoparticle Reconfigurable Intelligent Surfaces. That work looks at how printable wireless surfaces could help shape high-frequency communication environments, potentially making future networks more flexible and manufacturable.
His work has reached peer-reviewed technical venues, including the IEEE International Midwest Symposium on Circuits and Systems, a long-running circuits-and-systems conference in North America, and an IEEE venue in Belgium focused on advanced electronics and systems. The venue matters because it places the work inside a professional research ecosystem, not only a student portfolio.
But his path did not stop with research.
While managing graduate school and technical work, Rethinapandian also began building Kamuit, a transportation technology venture focused on structured long-distance shared mobility. The company grew from a practical problem: many travelers, students, immigrants, and regional commuters move between cities, airports, and university towns without reliable or affordable shared transportation options.
At first glance, semiconductor research and shared mobility may look unrelated. One operates inside chips. The other operates on highways.
But the underlying problem is similar.
In chiplet systems, information is already moving between components, but trust and security must be engineered into the connection. In regional mobility, people are already moving between cities, but coordination, verification, and trust are often missing from the system.
That is the kind of systems thinking many research-driven founders are bringing into entrepreneurship. They are not simply chasing consumer trends. They are looking for places where infrastructure already exists but lacks a trusted coordination layer.
“Graduate research teaches you not to accept the surface of a problem,” Rethinapandian said. “Whether it is data moving between chiplets or people moving between cities, the deeper question is where trust breaks down and what kind of system can restore it.”
Kamuit reflects that approach. The company is not trying to replace every bus, train, or rideshare service. It is focused on structured shared travel: verified users, scheduled routes, cost-sharing, and route-based coordination between people already moving in the same direction.
For Rethinapandian, building a venture while managing research required switching between long technical timelines and urgent product decisions, between academic rigor and market uncertainty, between laboratory thinking and real-world behavior.
That tension is increasingly familiar to young STEM founders.
The old model treated research and entrepreneurship as separate paths. A student could publish or build, study or commercialize, specialize or execute. The new model is messier. It asks technical talent to understand theory, produce credible work, communicate across disciplines, and test whether ideas can survive outside controlled environments.
Research universities provide the technical foundation. Conferences provide validation and peer review. Startups provide pressure from users and markets. Together, they create a pathway for technical builders who can move from papers to prototypes, from simulations to systems, and from ideas to public-facing infrastructure.
That pathway is not only about individual ambition. Many public problems need builders who understand both depth and deployment. AI hardware security cannot remain only an academic discussion. Wireless infrastructure cannot remain only a lab prototype. Transportation coordination cannot remain only an informal community workaround.
Rethinapandian’s story is one example of that larger trend. His work moves across semiconductors, communication systems, and mobility, but the theme remains consistent: finding hidden coordination problems inside large systems and building trust into the layer that connects them.
That may be where the next generation of STEM founders becomes most important.
Not only in inventing new technologies, but also in understanding how existing systems fail to connect.
Not only in publishing research, but in carrying that discipline into public problems.
And not only in building companies, but in building the kind of infrastructure thinking that modern economies increasingly depend on.
