Negin Ashrafi
Scholar

Negin Ashrafi

Google Scholar ID: tffs3TEAAAAJ
Graduate Student at University of Southern California
Machine LearningDeep LearningOptimizationNLPStatistical Learning
Citations & Impact
All-time
Citations
170
 
H-index
8
 
i10-index
5
 
Publications
17
 
Co-authors
17
list available
Resume (English only)
Academic Achievements
  • Publications: Co-authored papers applying process mining, machine learning, and deep learning to improve mortality prediction for ICU patients.
Research Experience
  • Research Projects: Developing advanced AI models to solve real-world problems in healthcare and transportation, including applying process mining, machine learning, and deep learning to improve mortality prediction for ICU patients. Also worked on projects utilizing NLP, generative AI, and optimization techniques in transportation, finance, agriculture, and manufacturing.
Education
  • Degree: Bachelor's; School: Sharif University of Technology; Time: Not specified; Major: Not specified.
Background
  • Research Interests: Artificial Intelligence, Data Science, Machine Learning, and Optimization. Background: Graduate student at the University of Southern California, focusing on Analytics, with a background in AI, Data Science, Machine Learning, and Optimization.
Miscellany
  • Skills: Proficient in tools such as TensorFlow, PyTorch, scikit-learn, R, SQL, and Gurobi, with expertise in deep learning, large language models (LLMs), statistical analysis, data-driven decision-making, and reinforcement learning.