Research Laboratory of Electronics (RLE)

Medard, colleagues address network capacity

Muriel Medard has collaborated with several colleagues to examine the use of two dominating information theories used in today's vast and growing transmission of data while both avoiding noise and demonstrating how to determine the capacities of networks. Medard, California Institute of Technology's Michelle Effros and the late Ralf Koetter of the University of Technology in Munich have addressed some of the toughest issues in a two part paper published recently in IEEE Transactions on Information Theory.
Machine-learning system could aid critical decisions in sepsis care

Model predicts whether ER patients suffering from sepsis urgently need a change in therapy.
Doctoral Thesis: Generalized Fourier Spectrum of Boolean Functions and Application to Learning on Categorical Data
EECS faculty member receives U.S. Air Force Young Investigator Research Program grant

Professor Luqiao Liu (center) is among three from MIT to receive the three-year, $450,000 grants.
Kevin O'Brien
On-chip optical filter processes wide range of light wavelengths

The silicon-based system offers a smaller, cheaper alternative to other “broadband” filters and could improve a variety of photonic devices.
Muriel Medard discusses the world-altering growth of 5G

The EECS faculty member describes how fifth-generation mobile technologies are revolutionizing the wireless communications and networking industry.
Doctoral Thesis: Integrated Silicon Photonic Circuit Simulation
Doctoral Thesis: Infrared-to-Visible Upconversion in Hybrid Thin Films of Colloidal Nanocrystals and Organic Molecules
Doctoral Thesis: Architectural Constructs for Time-Critical Networking in the Smart City

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