Congratulations to the 2019 ECE M.Eng. Poster Session Winners

Best Posters in Each Category:

AI/Pattern Recognition (Computer Vision, Machine Learning, Robotics)

  • Daria Efimov, ECE M.Eng. May ‘19
  • Poster Title: Olympic Lifting for Engineers
  • ECE M.Eng. Advisor: Bruce Land

Bio-Signals (Neural, Controls, Imaging, Bioinformatics)

  • Samhita Marri, December ’19 and Shuhua Li, ECE M.Eng. May ‘19
  • Poster Title: Autonomous Control of UAV to Measure Solar-Induced Fluorescence and Reflectance of Crops
  • ECE M.Eng. Advisor: Joe Skovira

Communications (Information Theory, Network Coding, Digital Communications)

  • Joao Pedro Carvao, ECE M.Eng. May ‘19
  • Poster Title: Massive MIMO-OFDM for Acoustic Communication
  • ECE M.Eng. Advisor: Christoph Studer

Computer Systems (OS, Embedded, Networks, Architecture, Database)

  • Nicholas Sarkis, ECE M.Eng. May ‘19
  • Poster Title: Secure Memory System for Information Flow Assurance
  • ECE M.Eng. Advisor: Ed Suh

Electronic Devices + Materials (Analog, Digital, Optics, MEMS, Circuits)

  • Shuyao Chen, ECE M.Eng. May ‘19
  • Poster Title: Floating Guard Ring Edge Termination for Wide Bandgap Power Diodes
  • ECE M.Eng. Advisor: Grace Xing

Large Scale Systems (Power Systems, Energy)

  • Alex Wong, ECE M.Eng. May ‘19
  • Poster Title: IR for Continuously Reconfigurable Polymorphic Hardware
  • ECE M.Eng. Advisor: Adrian Sampson

 Signal and Information Processing

  • Xuezhi Wang, ECE M.Eng. December ’19, Xue Wang, ECE M.Eng. December ’19, Peng Wu, ECE M.Eng. May ’19 and Kui Cao, ECE M.Eng. December ‘19
  • Poster Title: A Close-Loop Brain-Heart Machine Interface System
  • ECE M.Eng. Advisor: Bruce Land

Best Poster Overall:

  • Jiaxin Liu, ECE M.Eng. December ‘19
  • Poster Title: Recognize Symptom Using Saliency in Chest X-Ray Images
  • ECE M.Eng. Advisor: Mert Sabuncu

Other Articles of Interest

Magic Eye

Rick Johnson, an engineering professor on the Hill—and, at the risk of a mixed metaphor, something of a Renaissance man. At Cornell since 1981, Johnson has spent decades teaching and doing research in electrical engineering, particularly in the fields of control systems and signal processing. But over the past twelve years, his interests have entailed as much art as science. A pioneer in the field of computational art history, Johnson leverages both his engineering acumen and his abiding passion for art to study the physical materials with which works are made. Read more about Magic Eye