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General Information

Full Name Masoud Khani

Education

  • 2021 - Present
    PhD
    University of Wisconsin-Milwaukee
    • Currently pursuing a Ph.D. in Biomedical and Health Informatics with a focus on machine learning and data analytics.
    • Currently maintaining a GPA of 4.0.
  • 2020 - 2021
    Master of Science in Computer Science
    University of Wisconsin-Milwaukee
    • Conducted research on medical image segmentation using machine learning techniques, resulting in a thesis titled "Medical Image Segmentation using Machine Learning."
    • Graduated with a GPA of 3.9 and received the Outstanding Graduate Student Award in Computer Science.
  • 2014-2018
    Bachelor of Computer Software Engineering
    Tehran Azad University
    • Conducted research on fall detection in the elderly using machine learning techniques, resulting in a thesis titled "Fall Detection in Elderly with Smartphones via Machine Learning Techniques."
    • Graduated with a GPA of 3.5.

Experience

  • 2021
    Research Assistant
    University of Wisconsin Milwaukee - Biomedical Data and Language Processing (BioDLP) Lab
    • Analyzed data using machine-learning algorithms, including data mining, natural language processing, and knowledge representation and modeling.
    • Implemented a pipeline for preprocessing the Healthcare Cost and Utilization Project (HCUP) dataset to reduce preprocessing wait time by 80%.
    • Developed systems to integrate biomedical language processing into industrial applications such as electronic medical records (EMR) data to make accurate disease predictions.
    • Built a pipeline to extract data from Froedtert Hospital and Children’s Hospital of Wisconsin and statistically analyzed patients' demographics.
  • 2021
    Project Assistant
    University of Wisconsin Milwaukee - Northwestern Mutual Data Science Institute
    • Collected and analyzed student enrollment and behavior data for each semester for data science disciplines.
    • Developed an open-source repository for data science applications in different disciplines.

PUBLICATIONS

  • 2023
    • Tong, L., Khani, M., Lu, Q., Taylor, B., Osinski, K., Luo, J. (2023). Association between body-mass index, patient characteristics, and obesity-related comorbidities among COVID-19 patients. A prospective cohort study. Obesity Research Clinical Practice, 17(1), 47-57. DOI. 10.1016/j.orcp.2022.12.003
  • 2023
    • Feller, C. N., Adams, J. A., Friedland, D. R., Khani, M., Luo, J., Poetker, D. M. (2023). Impacts of socioeconomic status on dentoalveolar trauma. WMJ, 122(1), 32-37

Awards

  • 2020
    • Chancellor’s Graduate Student Award ($6000)

FOCUS AREA

    • Utilizing machine learning techniques and optimization methods
    • Analyzing the performance of machine learning models using statistical metrics
    • Modeling and analyzing features in neural networks
    • Analyzing big data using partitioning and approximation algorithms to provide visual representations.

PROGRAMMING SKILLS

  • Machine Learning Techniques
    • TensorFlow 2.x
    • Keras
    • Scikit-learn
    • PySpark
    • Ensemble traditional and pre-trained models
    • Transfer Learning
    • LSTM
    • YOLO
  • Languages
    • Python 3.x
    • R
    • Java
  • Databases
    • MySQL
    • PostgreSQL
    • SQL Server
    • BigQuery
  • Data Visualization
    • Matplotlib
    • Seaborn
    • ggplot2
    • Tableau
  • Big Data
    • Spark
    • Dask
    • Rapids
    • Ray
  • Cloud Technologies
    • AWS EC2
    • AWS S3
    • Google Colab
    • Google Compute Engine
    • Google BigQuery.