To support and encourage graduate-level research in the area of Instrumentation and Measurement. Award Selection Committee Prize: (updated for 2024) Total yearly award budget of $80,000 USD; Maximum of $20,000 USD per fellowship award 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. Funding: Funded by the IEEE Instrumentation and Measurement Society. Presentation: 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 in May (of the award year). Basis for Judging: The awards committee will review and evaluate in detail with special attention to the clarity, impact and relevance of the nomination, the profile of the candidate, the impact and relevance of the project to the areas of interest of the I&M Society and the budget for the project. The awardees must state to undertake the following obligations: 1) Submit a budget summary and a short (no more than 2 single-spaced pages) progress report by February 1 of the award year. This budget must be audited and approved by the Selection Committee Chair. 2) Submit a written report, suitable for publication in the IEEE Transactions on Instrumentation and Measurement as a regular or short paper (commensurate with the level of effort and fellowship funding), no later than 24 months following the initiation of the fellowship Eligibility: Candidate must be a graduate student and at minimum an IEEE member. Candidate’s advisor must be a member of the IEEE and the I&M Society. Candidate must have at least one full academic year remaining to be completed at the time the award is made. Both Candidate and Advisor must exhibit actions that reflect positively on and enhance the reputation of the I&M Society. Previous award recipients are not eligible for a period of two years after receiving the Fellowship. Previous grant recipients must be working towards a different degree to be eligible for another Fellowship. Previous award winners are not eligible for substantially the same achievements (per IEEE Policies 4.4: An individual shall receive only one award for a given achievement unless the significance merits a higher award, which may be given in the following year or thereafter.) The Eligibility and Selection process shall comply with procedures and regulations established in IEEE and Society/Council governing documents, particularly with IEEE Policy 4.4 on Awards Limitations. Nomination Details: Nomination Deadline: 1 February 2025 Any variation during the timeframe of the grant support should be discussed/approved by the committee chair. Nominee Solicitation Nominations are solicited from all IMS Members. The call for nominations will be sent out via email to the IMS Membership, posted on the IMS social media accounts, and displayed on the IMS website. Nominations must be submitted through the IMS website. The nominator must be the candidate’s advisor, as well as a member of the IEEE and the I&M Society. No more than one nomination per award year per graduate advisor will be considered. Self-nominations are not permitted. Nominations should comply with IEEE Policies and restrictions on awards. Incidents of misconduct including, but not limited to, violations of IEEE's publication policies, will be strongly considered by the awards committee and may be grounds for denial of an award or leadership position. Nominations must include the following supporting documentation: Candidate Profile and Letters of Support One-page biographical summary of the candidate. Include the student’s IEEE membership number. Unofficial copy of the candidate’s transcript signed by the Advisor to certify authenticity. 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. Nominating letter from candidate’s graduate advisor. 2-page maximum professional/academic summary CV of the graduate advisor. Include the advisor’s IEEE membership number. Two letters of recommendation from someone (other than the nominator) familiar with the candidate’s research and education qualifications. A Letter of Support from the faculty member’s department/institution administrator with an explicit statement stating that no institutional indirect cost (of any type) will be assessed by the recipient’s institution; Additional Reference Letters or Support Letters may be included but are not required. Research Proposal and Budget for the Fellowship 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. Research proposal describing the work to be completed by the application. Objectives, approach, and estimated start and completion dates should be included. The anticipated type of paper (short or full) for the final report must be identified. Any variation during the timeframe of the fellowship support should be discussed/approved by the committee chair. Budget for the project. Explicitly outline how the funds from this Fellowship will be allocated with a line-item budget justification. Budgets must follow the guidelines below: No portion of the budget can provide faculty salary or any expenditure unrelated to the fellowship. Up to $2,000 can be included in the project budget for the recipient to attend I2MTC. Travel to other conferences, symposia, workshops, etc. is not supported by funding from this award. Any other travel requests must be explicitly justified in your budget. The use of project funds for travel expenses or conference fees must follow IEEE Policies and Procedures. Nomination Form: Nominate for this Award Recipients 2024 Photo: Kapil Gangwar Project Title: "Continuous Dyspnea and Sleep Apnea Monitoring in Alzheimer’s Patients Using Near-Field RF Sensors Enhanced by Machine Learning" Acceptance Speech × Photo: Tian Meng Project Title: "Automated Non-Contact Electromagnetic Inspection of Complex Parts Enhanced by Robotics and Reinforcement Learning" Acceptance Speech × Photo: Jiahui Cao Project Title: "Low-intervention measurement and condition monitoring system for rotating blades" Acceptance Speech × Photo: Zheng Zhou Project Title: "Physics-enhanced deep reinforcement learning for sensor placement in industrial monitoring" Acceptance Speech × 2023 Photo: Siladitya Khan Project Title: "Biomechanical Imaging with Acoustic Radiation Force to map Local Rheological Changes in Skin & Soft Tissue Infection (SSTI) Microenvironments" Acceptance Speech × Photo: Zengkun Wang Project Title: "Key-Phase-Free Measuring Instrument and Intelligent Fault Diagnosis System for Rotating Blades" Acceptance Speech × Photo: Saibo She Project Title: "Embedded AI and edge computing for electromagnetic measurements and instrumentation" Acceptance Speech × 2022 Photo: Anne Tryphosa Kamatham Project Title: "Sonomyography-based muscle activity sensing and control of bionic devices" Acceptance Speech × Photo: Zihan Xia Project Title: "Multi modality sensing technique for monitoring complex structures enhanced by deep learning and advanced electromagnetic modelling" Acceptance Speech × Photo: Francesca Mancino Project Title: "Transdermal Delivery Universal Meter (TDeUM)" Acceptance Speech × Photo: Hui Wang Project Title: "An Online Intelligent Fault Diagnosis Method and Device for Industrial Equipment" Acceptance Speech × 2021 Photo: Logan Wilcox Project Title: "Progress in Instrumentation: Antenna Pattern Independence in Active Microwave Thermography" Acceptance Speech × Photo: Ge Zheng Project Title: "Online Measurement of Mass Flow Rate and Size Distribution of Biomass and Coal Particles Through Acoustic Emission Detection and Triboelectric Sensing" Acceptance Speech × Photo: Omiya Hassan Project Title: “A Low-Power AI/Machine-Learning Embedded Wearable Biomedical Digital Circuit Design for Monitoring of Respiratory Disorders” Acceptance Speech × 2020 Photo: Alexander Sheldon Project Title: "Techniques for the Characterization of Very-Low-Noise Cryogenic Devices and Instrumentation" Acceptance Speech × Photo: Borui Hou Project Title: "An Artificial Intelligence Enabled Finger Vein Authentication Instrument" Acceptance Speech × Photo: Ruyi Huang Project Title: "Industrial Equipment Compound Fault Diagnosis Towards Multisensory Big-Data" Acceptance Speech × 2019 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 Acceptance Speech × Photo: Shuming Wu Project Title: A Compressed Sensing based Multisource Fusion Blad Crack Detection System Faculty Advisor: Xuefeng Chen Acceptance Speech × Fei Shen Project Title: An Intelligent Oxygen Perfusion Instrument for In-vitro Preservation of Organs Faculty Advisor: Ruqiang Yan Acceptance Speech × 2018 Chen Zhu Project Title: Probing Changes in Pressure with Sub-pascal Resolution Using an Optical Fabry-Perot Interferometer Faculty Advisor: Jie Huang Acceptance Speech × Jiali Wu Project Title: On-line Measurement and Characterization of Burner Flames Using Electrostatic Sensor Arrays Faculty Advisor: Yong Yan Acceptance Speech × Liming Chen Project Title: Highly Sensitive Sensors Based on 2D Materials for Flexible and Wearable Electronic Devices Faculty Advisor: Wuilang Yin Acceptance Speech × 2017 Photo: Linli Xie Project Title: Micromachined Instrumentation for On-wafer Measurement of Terahertz Frequencies Faculty Advisor: Robert M. Weikle II Acceptance Speech × Photo: Gilles Inghelbrecht Project Name: Parallelizing Least Squares Methods Under the Multisplitting Theory Faculty Advisor: Kurt Barbé Acceptance Speech × Photo: 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 Acceptance Speech × 2016 Photo: Shuai Zhang Project Title: Characterization of Pneumatically Conveyed Pulverized Fuel in Square-shaped Pipes Using Electrostatic Sensor Arrays Faculty Advisor: Yong Yan Acceptance Speech × Photo: Yuan Gao Project Title: Millimeter Wave Diagnosis of Burned Skin Faculty Advisor: Reza Zoughi Acceptance Speech × Photo: 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 Acceptance Speech × 2015 Photo: Yunjie Yang Project Title: An Advanced Digital Electrical Impedance Tomography System for Medical Imaging Faculty Advisor: Jiabin Jia Acceptance Speech × Photo: Francesco Picariello Project Title: Assurance Of Traceability For Smartphone - Based Kinetic Measurements Faculty Advisor: Pasquale Daponte Acceptance Speech × Photo: Lijuan Wang Project Title: Condition Monitoring of Rotating Machinery using Strip Electrostatic Sensor Arrays Faculty Advisor: Yong Yan Acceptance Speech × Photo: Murat Sean McKeown Project Title: Novel Substrate Integrated Waveguide Sensor for Determining Complex Permittivity of Biomass Faculty Advisor: Dr. Samir Trabelsi Acceptance Speech × Photo: Ali Foudazi Project Title: Active Microwave Thermography for Nondestructive Evaluation of Surface Cracks in Metal Structures. Faculty Advisor: Kristen Donnell Acceptance Speech × 2014 Nicholas Erickson Project Title: De-embedding Techniques for Device Characterization Faculty Advisor: Jun Fan, Missouri University of Science & Technology Acceptance Speech × Photo: Cejo Konuparamban Lonappan Project Title: Photonic Time Stretch Based Real-time Instruments for High Bandwidth Signal Characterization Faculty Advisor: Asad M. Madni, UCLA Acceptance Speech × 2013 Photo: Markos Asprou Project Title: Power System Network Parameters Estimation Through the Use of Measurement Information. Faculty Advisor: Elias Kyriakides, University of Cyprus. Acceptance Speech × Photo: 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 Acceptance Speech × Satish Chava Project Title: Analytical Use of Image Sensors for Self-calibrating Biochemical Quantification Faculty Advisor: Chang-Soo Kim, Missouri University of Science & Technology Acceptance Speech × 2012 Photo: 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 Acceptance Speech × Photo: Lee Gonzales Fuentes Project Title: Density Estimation for the Disturbing Noise in Sampling Oscilloscopes Faculty Advisor: Kurt Barbé, Vrije Universiteit Brussel Acceptance Speech × 2011 Photo: 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 Acceptance Speech × Photo: Jonathan Armstrong Project Title: Steadiness/Tremor Measurement Using a General Systems Performance Theory (GSPT) Faculty Advisor: George Kondraske, The University of Texas at Arlington Acceptance Speech ×
Project Title: "Continuous Dyspnea and Sleep Apnea Monitoring in Alzheimer’s Patients Using Near-Field RF Sensors Enhanced by Machine Learning"
Project Title: "Automated Non-Contact Electromagnetic Inspection of Complex Parts Enhanced by Robotics and Reinforcement Learning"
Project Title: "Physics-enhanced deep reinforcement learning for sensor placement in industrial monitoring"
Project Title: "Biomechanical Imaging with Acoustic Radiation Force to map Local Rheological Changes in Skin & Soft Tissue Infection (SSTI) Microenvironments"
Project Title: "Key-Phase-Free Measuring Instrument and Intelligent Fault Diagnosis System for Rotating Blades"
Project Title: "Multi modality sensing technique for monitoring complex structures enhanced by deep learning and advanced electromagnetic modelling"
Project Title: "Progress in Instrumentation: Antenna Pattern Independence in Active Microwave Thermography"
Project Title: "Online Measurement of Mass Flow Rate and Size Distribution of Biomass and Coal Particles Through Acoustic Emission Detection and Triboelectric Sensing"
Project Title: “A Low-Power AI/Machine-Learning Embedded Wearable Biomedical Digital Circuit Design for Monitoring of Respiratory Disorders”
Project Title: "Techniques for the Characterization of Very-Low-Noise Cryogenic Devices and Instrumentation"
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
Project Title: A Compressed Sensing based Multisource Fusion Blad Crack Detection System Faculty Advisor: Xuefeng Chen
Project Title: An Intelligent Oxygen Perfusion Instrument for In-vitro Preservation of Organs Faculty Advisor: Ruqiang Yan
Project Title: Probing Changes in Pressure with Sub-pascal Resolution Using an Optical Fabry-Perot Interferometer Faculty Advisor: Jie Huang
Project Title: On-line Measurement and Characterization of Burner Flames Using Electrostatic Sensor Arrays Faculty Advisor: Yong Yan
Project Title: Highly Sensitive Sensors Based on 2D Materials for Flexible and Wearable Electronic Devices Faculty Advisor: Wuilang Yin
Project Title: Micromachined Instrumentation for On-wafer Measurement of Terahertz Frequencies Faculty Advisor: Robert M. Weikle II
Project Name: Parallelizing Least Squares Methods Under the Multisplitting Theory Faculty Advisor: Kurt Barbé
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
Project Title: Characterization of Pneumatically Conveyed Pulverized Fuel in Square-shaped Pipes Using Electrostatic Sensor Arrays Faculty Advisor: Yong Yan
Project Title: Microwave Imaging System with Integrated Laser Technique for Nondestructive Testing of Non-plain Concrete and Metal Structures. Faculty Advisor: Sergey Kharkovsky
Project Title: An Advanced Digital Electrical Impedance Tomography System for Medical Imaging Faculty Advisor: Jiabin Jia
Project Title: Assurance Of Traceability For Smartphone - Based Kinetic Measurements Faculty Advisor: Pasquale Daponte
Project Title: Condition Monitoring of Rotating Machinery using Strip Electrostatic Sensor Arrays Faculty Advisor: Yong Yan
Project Title: Novel Substrate Integrated Waveguide Sensor for Determining Complex Permittivity of Biomass Faculty Advisor: Dr. Samir Trabelsi
Project Title: Active Microwave Thermography for Nondestructive Evaluation of Surface Cracks in Metal Structures. Faculty Advisor: Kristen Donnell
Project Title: De-embedding Techniques for Device Characterization Faculty Advisor: Jun Fan, Missouri University of Science & Technology
Project Title: Photonic Time Stretch Based Real-time Instruments for High Bandwidth Signal Characterization Faculty Advisor: Asad M. Madni, UCLA
Project Title: Power System Network Parameters Estimation Through the Use of Measurement Information. Faculty Advisor: Elias Kyriakides, University of Cyprus.
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
Project Title: Analytical Use of Image Sensors for Self-calibrating Biochemical Quantification Faculty Advisor: Chang-Soo Kim, Missouri University of Science & Technology
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
Project Title: Density Estimation for the Disturbing Noise in Sampling Oscilloscopes Faculty Advisor: Kurt Barbé, Vrije Universiteit Brussel
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
Project Title: Steadiness/Tremor Measurement Using a General Systems Performance Theory (GSPT) Faculty Advisor: George Kondraske, The University of Texas at Arlington