Emi Aoki
Graduate Student in Electrical Engineering
Research
Data Analytics, Statistical Modeling, Computational and Physical Acoustics, Model-Based Systems Engineering
Education
- PhD (expected 2025) Electrical Engineering, University of Massachusetts Lowell
- MS (2022) Electrical Engineering, University of Massachusetts Lowell
- BS (2020) Electrical Engineering, University of Massachusetts Lowell
Biography
Emi Aoki is a graduate student who initially majored in mathematics and changed to pursue Electrical Engineering. Emi has been conducting multiple research/projects where she practices problem-solving, collaboration, and communication skills.
Skills
- programming language: Python, Fortran, MATLAB
- other: Catia Magic Systems of Systems Architect, LaTeX, Maxima, Microsoft Office
Experiences
- Graduate Teaching Assistant (Jan. 2022 – Current) for EECE. 4130 Linear Feedback System (Fall ’22, Spring ’22 ’23), EECE. 5494 Model-Based Systems Engineering (Fall ’22), EECE. 5496 Cyber-Physical Systems Modeling and Simulation (Spring ’23)
- Graduate Research Assistant in CACT (Sep. 2020 – Current) Advised by Prof. Thompson and Prof. Chandra: Conduct multiple projects and research involving statistics, data analysis, acoustics, model-based systems engineering, and engineering education.
- Research Assistant at UMass Lowell (Mar. 2021 – Jun. 2021) Advised by Prof. Zhu Mao: Investigated the power line-induced vibration data and developed feature-based classification of utility pole. Project sponsored by NEC Laboratories America.
- Research Assistant at UMass Lowell (Jan. 2020 – Jan. 2021) Advised by Prof. Zhu Mao: Developed applications of Microsoft HoloLens.
- Grader for EECE. 3120 Electronics II Laboratory (Fall ’19, Spring ’20)
- Research Assistant at UMass Lowell (May 2018 – Dec. 2018) Advised by Prof. Jay Weitzen and Prof. Rachel Wakim: Developed a software used to map an indoor wireless coverage. (2019 COMCAS)
Selected Publications
- E. AokiP. GandhiF. NorceideK. ChandraC. Thompson, “Model based spectral feature analysis in reverberant acoustic fields,” to appear, Proc. of Meetings on Acoustics, Chicago, IL, May 2023.
- E. Aoki, B. Tran, N. Uhunsere, S. Tripathy, C. Thompson. S. Sastry, and K. Chandra, “Multi-Disciplinary Authoring – A critical foundation for Augmented Reality Systems in Training and Education,” to appear, Proc. American Society for Engineering Education Annual Conference, Baltimore, MD, June 2023.
- A. Smith, E. Aoki, M. Ghandi, J. Burek, C. Thompson, and K. Chandra, “Human Balance Models for Engineering Education: An Innovative Graduate Co-Creation Project,” to appear, American Society for Engineering Education Annual Conference, Baltimore, MD, June 2023.
- E. Aoki, B. Tran, V. Tran, K. Soth, C. Thompson, S. Tripathy, K. Chandra, and S. Sastry, “Representing Augmented Reality Applications in Systems Modeling Language,” 2023 IEEE International Systems Conference (SysCon), Vancouver, BC, Canada, 2023, pp. 1-8, doi: 10.1109/SysCon53073.2023.10131060.
- C. Thompson, K. Chandra, E. Aoki, and A. Keefe, “Acoustic streaming in the cochlea,” the Journal of the Acoustical Society of America, 151, A272, 2022. doi: 10.1121/10.0011308.
- Master’s Thesis: E. Aoki, “A Statistical Characterization of COVID-19 Infections Considering City-Level Population and Economic Demographics.” Order No. 28966351, University of Massachusetts Lowell, United States — Massachusetts, 2022. Available: proquest.com. Paper: “Characterizing Persistence and Disparity of Covid-19 Infection Rates with City Level Demographic and Regional Features,” 2022. doi: 10.48550/arXiv.2211.12583
Affiliated Organizations
Honors & Awards
- Elected Associate Member of Sigma Xi (2023)
- Electrical Engineering Dean’s Medal for Outstanding Academic Achievement (2020, 2021)