Davoud Moradi

Motivated and multidisciplinary researcher with strong expertise in machine learning, bioinformatics, and algorithm design, complemented by experience in teaching, software development, and educational consulting. Skilled at bridging theory and practice, delivering high impact research (ICMLa and NeurIPS), and fostering innovation in both academic and industry environments. Seeking opportunities to apply my technical knowledge and problem solving skills to challenging roles in computer science, data science, or related fields.

• Member of NODET (National Organization for Development of Exceptional Talents), 2003–Present.
• Ranked 3rd, National PhD Entrance Exam in Computer Science, 2018.
• Ranked 5th, National PhD Entrance Exam in Computer Science, 2017.
• Ranked 18th, National MSc Entrance Exam in Computer Science, 2016.
• Ranked 42nd, National MSc Entrance Exam in Computer Science, 2015.
• Ranked 43rd, National MSc Entrance Exam in New Sciences and Techs, 2015.

• Moradi, D., Khan, M., Xu, J., Shivaraj, R. “A Novel Multi Model Ensemble Learning Approach for Pneumonia Detection.”
  ICML, 2025 (Submitted).
• Lei, M., Ma, C., Ding, M., Moradi, D., Ziyun H., Xu, J. “TTVD: Towards a Geometric Framework for Test-Time
  Adaptation Based on Voronoi Diagram.” NeurIPS, 2024 (Submitted).

• M.Sc. Thesis: “An algorithm for analyzing spatial distribution of evolutionary processes.” (Supervisor: Dr. Araabi).
• B.Sc. Project: “Approximation algorithms for finding Hamiltonian cycle in various kinds of graphs.” (Supervisor: Dr.
  Rezaei).
• Invited Talk: “Exploring Theories Behind Machine Learning: Computational Geometry and Data Distribution,” SUNY
  Fredonia.
• Seminars and Presentations: Chain-of-Thought Prompting in LLMs, Forward Reasoning Proofs using LLMs, Approximation
  Algorithms for TSP, Multi-Model Pneumonia Detection.