IEEE Instrumentation and Measurement Graduate Fellowship Award | IEEE Instrumentation & Measurement Society

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

Prize:

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.

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 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 with a line-item budget justification. Budgets must follow these guidelines: 1) No portion of the budget can provide faculty salary 2) 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 allowed. Any other travel requests must be explicitly justified in your budget.
• 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.

Eligibility:

• 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 2024

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

Nomination Form:

Sorry...This form is closed to new submissions.

Recipients

2023

Siladitya Khan

Biography

Siladitya Khan (Graduate Student Member, IEEE) was born and raised in Bengal, India. Siladitya received his undergraduate degree in Electronics & Instrumentation engineering from the West Bengal University of Technology, Kolkata, India, in 2016. He enrolled for his PH.D. in Biomedical engineering and Data Science with the University of Rochester, Rochester, NY, USA. He is currently advised by Professor Stephen Andrew McAleavey (Senior Member, IEEE) at the University of Rochester Medical Center, focused on developing novel, clinically applicable ultrasound imaging techniques to probe tissue biology. His current research interests include Signal, Image Processing, Predictive Maintenance, Applied Machine Learning for Healthcare and Process Improvement. This research project will enable collaboration with Professor Marvin Doyley, Chair of Electrical and Computer Engineering, and Dr. Akshaya Gupta from the Imaging Sciences department at the University of Rochester Medical Center (URMC). The fellowship award will provide financial support for research activities and facilitate professional development. It will complement Siladitya and Steve's earlier HSCCI grant (University of Rochester: Health Sciences Center for Computational Innovation) in the field of developing Viscoelasticity Imaging. This advancement is particularly significant as it overcomes the traditional limitations of non-local estimation over homogeneous tissue. By leveraging the computational resources of the University of Rochester's High-Performance Computing nodes within the Center for Integrated Research Computing (CIRC), the project will enable local estimation of rheological properties over the scanned areas.

Affiliation(s)

niversity of Rochester Medical Center

Project Title: "Biomechanical Imaging with Acoustic Radiation Force to map Local Rheological Changes in Skin & Soft Tissue Infection (SSTI) Microenvironments"

Zengkun Wang

Project Title: "Key-Phase-Free Measuring Instrument and Intelligent Fault Diagnosis System for Rotating Blades"

Saibo She

Project Title: "Embedded AI and edge computing for electromagnetic measurements and instrumentation"

2022

Zihan Xia

Project Title: "Multi modality sensing technique for monitoring complex structures enhanced by deep learning and advanced electromagnetic modelling"

Francesca Mancino

Project Title: "Transdermal Delivery Universal Meter (TDeUM)"

Hui Wang

Project Title: "An Online Intelligent Fault Diagnosis Method and Device for Industrial Equipment"

Anne Tryphosa Kamatham

Project Title: "Sonomyography-based muscle activity sensing and control of bionic devices"

2021

Logan Wilcox

Project Title: "Progress in Instrumentation: Antenna Pattern Independence in Active Microwave Thermography"

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"

Omiya Hassan

Project Title: “A Low-Power AI/Machine-Learning Embedded Wearable Biomedical Digital Circuit Design for Monitoring of Respiratory Disorders”

2020

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"

Ruyi Huang

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

2019

Fei Shen

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

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

2018

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

2017

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

Biography

Arvind Rajan can be characterized as an energetic and highly intelligent young engineer in the field of measurement uncertainty evaluation & analysis, reliability analysis and probabilistic design optimization of engineering systems.

He graduated from Monash University with BEng (First Class Honours) degree in Electrical and Computer Systems Engineering in 2014 at the top of his graduating class whereby he was named the Best Graduate (equivalent to a valedictorian). In 2015, he received a full scholarship to pursue his postgraduate study with the Faculty of Engineering at Monash University. He is currently in his final year of PhD study. Throughout the course of his postgraduate research thus far, Arvind has been largely instrumental in introduction of several novel measurement uncertainty estimation techniques and development of relevant software tools. Apart from his research activities, he has been also profoundly involved in delivery of specialist undergraduate program units including Industrial Instrumentation and Measurement Technologies, Advanced Engineering Data Analysis and Digital Systems with excellent teaching results and student feedback.

Arvind is an active Graduate Student Member of IEEE as well as member of the IEEE Instrumentation and Measurement Society (IMS) and its Technical Committee of Fault Tolerant Measurement Systems (TC-32). He has published 6 research papers with the refereed professional journals and 5 papers in peer-reviewed international IEEE conferences. Young Professional Program Representative (2018-2019)

Affiliation(s)

Brookfield Asset Management

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

2016

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

2015

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

2014

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

2013

Markos Asprou

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

Hui He

Biography

Hui He received the B.S and M.S.M.E. degree from Sichuan University, Chengdu, China in 2006 and 2009, respectively. In 2012, Hui joined electromagnetic compatibility laboratory of Missouri University of Science and Technology to get a M. S. degree in electrical engineering. Her current research interests include near field measurement and instrumentation, electromagnetic compatibility measurement and simulation, and signal integrity.

In 2013, Hui received the I&M Graduate Fellowship Award for her research topic, “Coordinate Measurement Based EM-field Probing System for EMC Source Location and Far-field Prediction”. The objectives of this research are to visualize the frequency dependent electromagnetic field distribution for electromagnetic compatibility (EMC) applications and the time evolution of the current flow induced by an electrostatic discharge (ESD) on complex shaped electronic systems. This is achieved by combining magnetic field probing with a system for automatically recording the probe position and orientation. Due to the complexity of the shape of the electronic systems of interest, and for utilizing the expertise of the user, the probe will be moved by hand not robotically. Concurrently, the local magnetic field, or the ESD induced surface current density will be recorded, associated with the location and displayed at near real time on the captured 3D geometry as a field strength map for EMC applications and, for ESD, as a movie showing the spread of the ESD induced current with sub nanosecond resolution.

Affiliation(s)

Missouri University of Science & Technology

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

Satish Chava

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

2012

Jie Huang

Biography

Jie Huang received his B.S. degree in opto-electronic engineering from Tianjin University, Tianjin, China, in 2009 and M.S. degree in electrical engineering in Missouri University of Science and Technology, Rolla, US, in 2012. He is currently pursuing the Ph.D. degree in electrical engineering at Clemson University. From 2010 to present, he was a Research Assistant with the Photonics Technology Lab at Missouri University of Science and Technology and Clemson University. His research interest mainly focuses on the development of photonics and microwave sensors and instrumentations for applications in energy, intelligent infrastructure and biomedical sensing. Mr. Huang was a recipient of the IEEE I&M society graduate fellowship award from 2012 to 2013. He has authored or co-authored over 30 research journal papers and held 2 US patents in the past 4 years. He is members of Omicron Delta Kappa National Leadership Honor Society, OSA (Optical Society of America), SPIE and IEEE.

The following publications relate to his research under this grant:

1. J. Huang, T. Wei, T. Wang, J. Fan, and H. Xiao, “Control of Critical Coupling in a Coiled Coaxial Cable Resonator,” Review of Scientific instrument, vol. 85, pp. 016405RSI, 2014.

2. J. Huang, T. Wei, J. Fan and H. Xiao, “Coaxial cable Bragg grating assisted microwave coupler,” Review of Scientific Instruments, vol.85, pp. 014703, 2014.

3. J. Huang, X. Lan, M, Luo, H. Xiao, “Spatially continuous distributed fiber optic sensing using optical carrier based microwave interferometry,” Optics Express, vol. 22, pp. 18757-18769, 2014.

4. J. Huang, T. Wang, L. Hua, J. Fan, H. Xiao, M. Luo, “A Coaxial Cable Fabry-Perot Interferometer for Sensing Applications,” Sensors, vol. 13, pp.15252-15260, 2013.

5. J. Huang, T. Wei, X. Lan, J. Fan, H. Xiao, “Coaxial cable Bragg grating sensors for large strain measurement with high accuracy”, SPIE Smart structures/NDE, San Diego, CA, Mar. 2012.

Affiliation(s)

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

Lee Gonzales Fuentes

Biography

Lee Gonzales Fuentes was born in Arequipa, Perú. She received the Bachelor degree in Electronic Engineering with a major in Telecommunications from the Universidad Nacional de San Agustín (UNSA), Perú in 2008. Her M.Sc. degree in Electronics/Telecommunications from the University of Gävle (HIG), Sweden was received in 2012. In March 2012, Lee joined the department of Electricity and Instrumentation (ELEC) as a Ph.D. student in the domain of pre- and post-processing of measured data. Her main research interests are measurements and modeling techniques for high-frequency applications, wireless network design, telemetry and digital signal processing.

Research under this award has been captured in the following transaction papers:

1. L. Gonzales-Fuentes, K. Barbé, L. Barford, L. Lauwers and L. Phillips, ”A qualitative study of probability density visualization techniques in measurements”, Measurement, vol. 65, no., pp. 95-111, DOI: 10.1016/j.measurement.2014.12.022, Jan. 7th, 2015 (online).

2. A guaranteed blind and automatic probability density estimation of raw measurements, K. Barbe, L. Gonzales-Fuentes, L. Barford, and L. Lauwers, IEEE Transactions on Instrumentation and Measurement, doi: 10.1109/TIM.2014.2304858, vol.63, no.9, pp.2120-2128, Sept. 2014

3. Cognitive Radios: Discriminant Analysis for Automatic Signal Detection in Measured Power Spectra, L. Gonzales-Fuentes, K. Barbe, W. Van Moer, and N. Björsell, IEEE Transactions on Instrumentation and Measurement, doi: 10.1109/TIM.2013.2265607, vol.62, no.12, pp.3351,3360, Sept. 2013.

In addition, results have been published in conference proceedings:

1. Adaptive Noise Tracking for Cognitive Radios under more realistic operation conditions, L. Gonzales-Fuentes, K. Barbe, and W. Van Moer, I2MTC 2014 IEEE International Instrumentation and Measurement Technology Proceedings, vol., no., pp.1339,1344, May 12-15, 2014.

2. Monte-Carlo parameter uncertainty analysis under dynamical and operational measurement conditions, K. Barbe, L. Gonzales-Fuentes, O. Olarte and L. Lauwers, I2MTC 2014 IEEE International Instrumentation and Measurement Technology Proceedings, vol., no., pp.276,281, 12-15 May 12-15,2014

3. Eliminating user-interaction in probability density estimation, K. Barbe, L. Gonzales-Fuentes, L. Barford, and W. Van Moer, I2MTC 2013 IEEE International Instrumentation and Measurement Technology Proceedings, vol., no., pp. 1295-1300, May 6-9, 2013.

4. Cognitive Radios: Discriminant Analysis finds the free space, L. Gonzales-Fuentes, K. Barbe, W. Van Moer, and N. Björsell, I2MTC 2012 IEEE International Instrumentation and Measurement Technology Proceedings, vol., no., pp.2242 – 2247, May 13-16, 2012.

Lee Gonzales Fuentes based her doctoral dissertation entitled:

Helping Cognitive Radio in the Search for Free Space, L. Gonzales-Fuentes, Master Thesis dissertation, January 2012, on the research supported by this award.

And finally, the following conference presentations have highlighted the research results:

1. Time-Varying Noise Tracking for Cognitive Radio scenarios, L. Gonzales-Fuentes, K. Barbe, and W. Van Moer, 33nd Benelux Meeting on Systems and Control, Heijden, The Netherlands, on March 25-27, 2014.

2. Discriminant Analysis for Cognitive Radio applications to Medical Emergencies, L. Gonzales-Fuentes, K. Barbe and W. Van Moer, Poster presented at the Annual Symposium of the IEEE EMBS and IM Benelux Chapter and National Day on Biomedical Engineering, December 5-6, 2013.

3. Discriminant Analysis for Spectrum Use Agility, L. Gonzales-Fuentes, Kurt Barbe, and Wendy Van Moer, VUB PhD Research Day, May 31st, 2013.

4. Discriminant Analysis for Spectrum Use Agility, L. Gonzales-Fuentes, K. Barbe, and W. Van Moer, 32nd Benelux Meeting on Systems and Control, March 26-28th, 2013, OL Fosse D'Outh, Houffalize, Belgium.

The estimation of the probability density of a measured physical variable is a very common functionality in both measurement instruments and virtual measurement systems. The relevance of this project attracted the attention of Agilent Technologies (currently Keysight Technologies) which resulted in a scientific collaboration. Several discussions regarding the different techniques and their implementation allowed the research team to apply them to different measurement problems that an engineer usually encounters.

Affiliation(s)

Vrije Universiteit Brussel

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

2011

Arpit Kothari

Biography

Arpit Kothari received his Bachelor of Engineering Degree in 2007 in ‘Instrumentation Technology’ from Visvesvaraya Technological University, India. After his graduation, from July 2007 to April 2010, he worked on Distributed Control System (DCS) at Yokogawa India Limited, a firm specializing in Measurement, Control and Industrial Automation. His area of focus was Power Plant Instrumentation and Control.

In July 2013, he received his Master of Science degree in Electrical Engineering from Missouri University of Science & Technology, Rolla, Missouri where he worked on microwave design, vector network analysis and calibration. He is presently working as a Hardware Engineer at Juniper Networks Inc., Sunnyvale, CA. His areas of interest are RF design, measurement and Signal Integrity.

As a result of his research, Mr. Kothari was an author to the following published papers which explain his work.

[1] Kothari, A; Ghasr, M.T.; Zoughi, R., "Design of a Nondirectional Wideband Waveguide Coupler," Instrumentation and Measurement, IEEE Transactions on , vol.63, no.4, pp.984,986, April 2014.

[2] Kothari, A; Ghasr, M.T.; Zoughi, R., "Sensitivity analysis of a single-port vector reflectometer with a wideband phase-shifter," Instrumentation and Measurement Technology Conference (I2MTC), 2013 IEEE International , vol., no., pp.381,386, 6-9 May 2013.

The following is a quote from Mr. Kothari on the value of this award to his career development: “During my Masters I obtained an internship with Cisco Systems Inc. at San Jose, CA (Feb 2013), and after graduating, was offered permanent employment with Juniper Networks Inc., Sunnyvale, CA (Oct 2013). Throughout my Masters, this Fellowship Award provided me with financial independence due to which I could concentrate on my research full-time. The skills acquired during my research were instrumental in obtaining both the internship and my present full time position. I proudly and gratefully acknowledge the fellowship and my association with I&M society in my Master’s thesis, my published papers and my resume.”

Affiliation(s)

Missouri University of Science & Technology

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