The School of Engineering’s Shantenu Jha and Stephen D. Tse were among a select group of Rutgers University faculty members recognized for their contributions and achievements as educators during the university’s annual faculty awards reception in May.
Stephen Tse, who joined Rutgers in 2001 and currently serves as a professor of mechanical and aerospace engineering, was awarded the Board of Trustees Award for Excellence in Research which recognizes outstanding research contributions to a discipline or to society by a tenured faculty member. Tse was honored for his numerous path-breaking contributions to the areas of combustion technology, nanofibers, and nanomaterials, including his pioneering use of innovative laser diagnostic tools to probe the combustion-flame environment leading to a fundamental understanding of combustion-synthesis dynamics.
Tse’s research focus is in the thermal sciences, involving applications in nanomaterials synthesis, plasma processes, CVD, combustion and propulsion, and advanced laser-based diagnostics. Along with fundamental combustion studies, he investigates fundamental growth mechanisms involved in flame and plasma synthesis of carbon nanotubes, graphene, metal-oxide nanowires, ceramic nanoparticles, and novel nanocomposites. These advanced materials possess enhanced mechanical, thermal, optical, and electronic properties that are well-suited for applications such as structural materials, armor, coatings, IR windows, photonics, sensors, and energetics.
Shantenu Jha, an assistant professor in the Department of Electrical and Computer Engineering, received the Board of Trustee Research Fellowship for Scholarly Excellence. This award cites Jha’s “brilliant translational research that ranges across computer and computational science, physics and biology, addressing and solving deep, real-world problems." A School of Engineering faculty member since 2011, Jha is developing middleware to support distributed dynamic data-intensive (D3) science on distributed cyberinfrastructure. His interests lie in the areas of high performance and distributed computing, computational and data-intensive science and engineering, and large-scale cyberinfrastructure for science and engineering.