The purpose of the award is to support and encourage graduate-level research in the area of instrumentation and measurement. The yearly award budget is up to $45,000 USD with a maximum award of $15,000 USD per winner. It also includes complementary I&M student membership starting in September of the award year and including two subsequent years. For more information, download the pdf for the Graduate Fellowship Award. Inquiries regarding the Graduate Student Fellowship Award should be directed to the Selection Committee Chair, Ferdinanda Ponci.
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Graduate Fellowship Award
Up to $15,000 per award winner, certificate, and complimentary Instrumentation and Measurement (I&M) Student Membership, starting in September of the Award year and including 2 subsequent years.
The funding is made available from the IEEE I&M Society.
March 1, 2019 (extended from February 1)
Presentation will be made at the Awards Luncheon at I2MTC.
1. Candidate must be at minimum, a student member of the IEEE. 2. Candidate’s advisor must be a member of the IEEE and the I&M Society. 3. Previous award recipients are not eligible for a period of two years after receiving the award. 4. No more than one nomination per graduate advisor will be considered.
Project Title: Assurance of traceability for smartphone--‐based kinetic measurements
Project Title: An Advanced Digital Electrical Impedance Tomography System for Medical Imaging
Project Title: Active microwave thermography for nondestructive evaluation of surface cracks in metal structures
Project Title: Novel Substrate Integrated Waveguide Sensor for Determining Complex Permittivity of Biomass
Project Title: Photonic Time Stretch Based Real-time Instruments for High Bandwidth Signal Characterization
Project Title: De-embedding Techniques for Device Characterization
Project Title: Analytical use of image sensors for self-calibrating biochemical quantification
Project Title: Coordinate Measurement Based EM-field Probing System for EMC Source Location and Far-field Prediction
Project Title: Power System Network Parameters Estimation Through the Use of Measurement Information
Project Title: Density Estimation for the Disturbing Noise in Sampling Oscilloscopes