Research Laboratory of Electronics (RLE)

  • Read the paper for this work, published in PLoS ONE: A Glucose Fuel Cell for Implantable Brain–Machine Interfaces Rapoport BI, Kedzierski JT, Sarpeshkar R (2012) A Glucose Fuel Cell for Implantable Brain–Machine Interfaces. PLoS ONE 7(6): e38436. doi:10.1371/journal.pone.0038436 Conceptual schematic design for a system that harvests power from the cerebrospinal fluid, showing a plausible site of implantation within the subarachnoid space. The inset at right is a micrograph of one prototype, showing the metal layers of the anode (central electrode) and cathode contact (outer ring) patterned on a silicon wafer. Image Credit: Meninges and Vascular Anatomy courtesy of the Central Nervous System Visual Perspectives Project, Karolinska Institutet and Stanford University.
  • Sarpeshkar teams with researchers at the Lincoln Laboratory to develop an implantable fuel cell built that could power neural prosthetics that help patients regain control of limbs.
  • Thesis Defense: Coherent Control of Polarized Neutron Interferometry, Mohamed Abutaleb, RLE. June 7, 3:30pm, Allen Room, 36-462
  • EECS associate professor of electrical engineering Karl Berggren has teamed with MIT Materials Science and Engineering Prof. Caroline Ross to create 3D micro structures that have potential for multiple applications.
  • Area I: BioMedical Sciences and Engineering within EECS is composed of EECS faculty and students who work at the cutting edge of engineering and/or medicine. Our collective goal is to understand complex biological systems and/or engineer systems that solve important biological problems. Related: bioEECS
  • Area I: Applied Physics and Devices uses the foundation and underlying principles of physics to enable the engineering of complex integrated systems. The highlighted topics are electromagnetics, photonics, power, energy materials, devices, microsystems, nanotechnology, and physics of information.
  • Research in Area I: Circuits emphasizes electronic circuits and systems, microprocessor based control, and digital and analog signal processing. Design and practical implementation are emphasized. 
  • Lying at the critical interface between computation and the physical world, Information Systems bridges the more traditionally computer science centric and more traditionally electrical engineering centric areas of the department. 


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