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Research Interests

Data Analysis, Data-Driven Computational Modeling, Machine Learning, Statistical Modeling, Applications of Machine Learning on Medical Imaging

Education

• M.S. in Electrical Engineering, University of Massachusetts of Lowell
• B.S. in Electrical Engineering, University of Massachusetts of Lowell

Selected Awards and Honors

• Dean’s Medal for Outstanding Academic Achievement (May 2020 and May 2021)
• Jeffery Cosiol International Merit Scholarship Endowment (Sep. 2019 – May 2020)
• Dean’s List (Fall 2017 – Spring 2020)
• International Academic Council Scholarship (Sep. 2017 – May 2020)

Selected Publications

Projects, Publications, Work and Other Activities

• Arielle Joasil, Habibat Alimi, Sarah Simmons, Emi Aoki, and Kavitha Chandra, "A Survey and Classification of COVID-19 Open-Access Datasets." In preparation.
  
  
• Jay Weitzen, Rachel Wakim, Joshua Watts, Emi Aoki, Sivly Lay, and Naye Yoni, "," IEEE COMCAS, 2019.
  
  
• Graduate Research Assistant (Fall 2020 – Winter 2022):
  • Thesis Title: A Statistical Characterization of Covid-19 Infections Considering Population Density, Race and Ethnicity, and Age Groups as Covariates
  • Advisors: Prof. Kavitha Chandra and Charles Thompson
  • Investigate data-driven relationships between city-level geographic, demographic data and Covid-19 confirmed cases
  • Develop methods for presenting findings to a broader community to empower community mitigation strategies
  • Develop data collection algorithms using Python
  
  
  
• Research Project (March 2021 – June 2021):
  • Advisor: Prof. Zhu Mao, Sponsored by NEC Laboratories America
  • Investigated the power line-induced vibration data using Python
  • Developed feature-based classification of utility pole
  
  
  
• Research Project (Jan. 2020 – Jan. 2021):
  • Advisor: Prof. Zhu Mao
  • Investigated possible HoloLens applications such as a hollow wall detector using knocking sounds as input
  • Developed HoloLens applications (Unity 3D) to establish connection between HoloLens and Other devices (i.e., Android, MATLAB) for transferring data
  
  
  
• Lab Grader (Fall 2019, Spring 2020):
  • Assisted Prof. Dohn Bowden and teaching assistants for EECE.3120 – Electronics II Laboratory
  • Punctually evaluated lab reports for 20-22 students per semester
  • Supported students in lab hours and open labs
  
  
  
• Undergraduate Research Assistant (May 2018 – Dec. 2018):
  • Advisors: Prof. Jay Weitzen and Prof. Rachel Wakim
  • Collaboratively developed a post-processing software used to map an indoor wireless coverage
  • Performed software testing to detect errors