Carnegie Mellon University

hamerschlag hall

April 04, 2018

The 2018 CIT Dean's Early Career Fellows

To commemorate their distinguished work in their fields, four electrical and computer engineering faculty members will receive the 2018 CIT Dean’s Early Career Fellowship. This year’s fellows are Pulkit Grover, Cécile Péraire, Aswin Sankaranarayanan, and Osman Yağan. The fellowship awards these young faculty members with funding to further their outstanding work.

Other recipients include Chrysanthos Gounaris (ChemE), Hae Young Noh (CEE), Costa Samaras (CEE), and Satbir Singh (MechE).

Each untenured faculty member received nominations to this fellowship from their department heads. The CIT Review Committee then selected the current awardees. A ceremony to celebrate and congratulate the faculty will occur later in the year.

Grover, assistant professor in electrical and computer engineering, is an information theorist developing “coded computing” techniques for reliable computing using unreliable elements. He also develops novel techniques for sensing the brain noninvasively at high resolution. His lab works closely with computer engineers, neuroscientists, and clinicians to bring these results to practice. His awards include the National Science Foundation’s Faculty Early Career Development award, Google’s Faculty Research award, and the Institute of Electrical and Electronics Engineers’ Leonard Abraham award.

Péraire​, assistant​ teaching professor in software engineering, co-created the ECE Software Engineering Master program offered at CMU’s Silicon Valley campus​. The College of Engineering recently awarded her the Dowd Fellowship Award for her contribution to the program. Her research focuses on software engineering education​ and ​software engineering methods​, ​including software development sustainability.

Sankaranarayanan, assistant professor in electrical and computer engineering, runs the Image Science Lab. His research explores imaging and vision. In his research, he designs image sensors, signal and image processing techniques, and high-level visual inference. He received the National Science Foundation’s Faculty Early Career Development award and the Excellence in Teaching Award by the Eta Kappa Nu (Sigma chapter) society in 2017.

Yağan, assistant research professor in electrical and computer engineering, works on modeling, analysis, design, and optimization of networked systems. His research assesses the dynamical processes in social and information networks and the robustness of cyber-physical systems, random graphs, wireless communications, and cyber-security. His work receives support from the National Science Foundation and Army Research Office.