IEEE Instrumentation and Measurement Graduate Fellowship Award

To support and encourage graduate-level research in the area of Instrumentation and Measurement.

Award Selection Committee

Total yearly grant budget of $45,000 USD; Maximum of $15,000 USD per grant winner. Award certificate to each selected applicant. Complimentary Instrumentation and Measurement (I&M) Student Membership starting in September of the Grant year and including 2 subsequent years.
Funded by the IEEE Instrumentation and Measurement Society.
Grant recipients will be announced at the annual I²MTC Conference Awards Banquet. Formal notification of the grant will be sent to the recipients, department and university administrators by May 15 (grant year).
Basis for Judging:
• Nominating letter from candidate’s graduate advisor.
• Two letters of recommendation from someone (other than the nominator) familiar with the candidate’s research and education qualifications.
• One-page biographical summary of the candidate. Include the student’s IEEE membership number.
• Two-page maximum professional/academic summary CV of the graduate advisor. Include the advisor’s IEEE membership number.
• Unofficial copy of the candidate’s transcript. Include an explanation if the grading system differs from the A to F format.
• One page (single-spaced) statement, written by the candidate, outlining the education and research goals and accomplishments. This can include summer internship experience, undergraduate, and graduate work.
• Research proposal, no more than 5 single-spaced pages, that specifically provides the following information:
• Title page containing the title, University name, and contact information of the faculty member submitting the nominating package and the candidate. Include email addresses and phone numbers.
• Objectives, approach, and estimated start and completion dates.
• The anticipated type of paper (short or full) for the final report must be identified.
• Budget for the project. Explicitly outline how the funds from this Fellowship will be allocated.
• A letter of support from the faculty member’s department/institution administrator must be submitted (not to be counted as part of the 5-page proposal). This letter must include an explicit statement about the fact that no institutional indirect cost (of any type) will be assessed by the recipient’s institution.
• Candidate must be at minimum, a student member of the IEEE. Candidate’s advisor must be a member of the IEEE and the I&M Society.
• Previous grant recipients are not eligible for a period of two years after receiving the grant.
• No more than one nomination per graduate advisor will be considered.
• Both candidate and Advisor must exhibit actions that reflect positively on and enhance the reputation of the I&M Society.
Nomination Details:

Nomination Deadline: 1 February 2023

Any variation during the timeframe of the grant support should be discussed/approved by the committee chair.

Nomination Form:


Ruyi Huang

Project Title: "Industrial Equipment Compound Fault Diagnosis Towards Multisensory Big-Data"

Alexander Sheldon

Project Title: "Techniques for the Characterization of Very-Low-Noise Cryogenic Devices and Instrumentation"

Borui Hou

Project Title: "An Artificial Intelligence Enabled Finger Vein Authentication Instrument"

Samira Shamsir

Project Title: A Low-Power Integrated Respiratory Signal Monitoring and Automatic Apnea Detection System Using Pyroelectric Transducer and CMOS Integrated Circuit
Faculty Advisor: Syed Kamrul Islam

Shuming Wu

Project Title: A Compressed Sensing based Multisource Fusion Blad Crack Detection System
Faculty Advisor: Xuefeng Chen

Fei Shen

Project Title: An Intelligent Oxygen Perfusion Instrument for In-vitro Preservation of Organs
Faculty Advisor: Ruqiang Yan

Liming Chen

Project Title: Highly Sensitive Sensors Based on 2D Materials for Flexible and Wearable Electronic Devices
Faculty Advisor: Wuilang Yin

Chen Zhu

Project Title: Probing Changes in Pressure with Sub-pascal Resolution Using an Optical Fabry-Perot Interferometer
Faculty Advisor: Jie Huang

Jiali Wu

Project Title: On-line Measurement and Characterization of Burner Flames Using Electrostatic Sensor Arrays
Faculty Advisor: Yong Yan

Linli Xie

Project Title: Micromachined Instrumentation for On-wafer Measurement of Terahertz Frequencies
Faculty Advisor: Robert M. Weikle II

Gilles Inghelbrecht

Project Name: Parallelizing Least Squares Methods Under the Multisplitting Theory
Faculty Advisor: Kurt Barbé

Arvind Rajan

Project Title: Analytic Moment-based Measurement Uncertainty Evaluation for Reliability Analysis of Complex Engineering Systems
Faculty Advisors: Ye Chow Kuang, Serge N. Demidenko, Melanie Ooi Po-Leen

Shuai Zhang

Project Title: Characterization of Pneumatically Conveyed Pulverized Fuel in Square-shaped Pipes Using Electrostatic Sensor Arrays
Faculty Advisor: Yong Yan

Yuan Gao

Project Title: Millimeter Wave Diagnosis of Burned Skin
Faculty Advisor: Reza Zoughi

Paritosh Giri

Project Title: Microwave Imaging System with Integrated Laser Technique for Nondestructive Testing of Non-plain Concrete and Metal Structures.
Faculty Advisor: Sergey Kharkovsky

Murat Sean McKeown

Project Title: Novel Substrate Integrated Waveguide Sensor for Determining Complex Permittivity of Biomass
Faculty Advisor: Dr. Samir Trabelsi

Ali Foudazi

Project Title: Active Microwave Thermography for Nondestructive Evaluation of Surface Cracks in Metal Structures.
Faculty Advisor: Kristen Donnell

Yunjie Yang

Project Title: An Advanced Digital Electrical Impedance Tomography System for Medical Imaging
Faculty Advisor: Jiabin Jia

Francesco Picariello

Project Title: Assurance Of Traceability For Smartphone - Based Kinetic Measurements
Faculty Advisor: Pasquale Daponte

Lijuan Wang

Project Title: Condition Monitoring of Rotating Machinery using Strip Electrostatic Sensor Arrays
Faculty Advisor: Yong Yan

Nicholas Erickson

Project Title: De-embedding Techniques for Device Characterization
Faculty Advisor: Jun Fan, Missouri University of Science & Technology

Cejo Konuparamban Lonappan

Project Title: Photonic Time Stretch Based Real-time Instruments for High Bandwidth Signal Characterization
Faculty Advisor: Asad M. Madni, UCLA

Satish Chava

Project Title: Analytical Use of Image Sensors for Self-calibrating Biochemical Quantification
Faculty Advisor: Chang-Soo Kim, Missouri University of Science & Technology

Markos Asprou

Project Title: Power System Network Parameters Estimation Through the Use of Measurement Information.
Faculty Advisor: Elias Kyriakides, University of Cyprus.

Hui He

Project Title: Coordinate Measurement Based EM-field Probing System for EMC Source Location and Far-field Prediction
Faculty Advisor: David Pommerenke, Missouri University of Science & Technology

Jie Huang

Project Title: Novel Coaxial Cable Interferometric Sensors for Distributed Measurement of Large Strain in Structural Health Monitoring
Faculty Advisor: Hai Xiao, Missouri University of Science & Technology

Lee Gonzales Fuentes

Project Title: Density Estimation for the Disturbing Noise in Sampling Oscilloscopes
Faculty Advisor: Kurt Barbé, Vrije Universiteit Brussel

Arpit Kothari

Project Title: Implementation of a Self-Calibrating Technique for a Novel Millimeter Wave Vector Network Analyzer
Faculty Advisor: Reza Zoughi, Missouri University of Science & Technology

Jonathan Armstrong

Project Title: Steadiness/Tremor Measurement Using a General Systems Performance Theory (GSPT)
Faculty Advisor: George Kondraske, The University of Texas at Arlington