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Negin Ashrafi

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portfolio

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projects

Enhanced Hospital Queue Management Using Monte Carlo Simulation and Statistical Analysis

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Improved Accident Prediction Through Advanced Data Preprocessing in USA Accidents Dataset

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Predicted Store Sales Using Time-Series Forecasting

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Stabilized Image Synthesis Using Classifier-Guided Latent Diffusion

Code

Fine-Tuning BERT for Customized Text Classification and Sentiment Analysis

Designed and Implemented an Extensive Relational Database for a Farmer’s Market

Optimized Repayment Scheduling Using GAMS and Gurobi

Applied Temporal Reasoning in POMDPs Using Viterbi Algorithm

Code

Developed AI Agents for Little-Go Using Search and Reinforcement Learning

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Optimized 3D Traveling Salesman Problem Using Genetic Algorithms

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publications

Application of REDECA Framework to Improve Safety and Health of Agricultural Tractor Drivers

Published in medRxiv, 2024

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Enhanced Prediction of Ventilator-Associated Pneumonia in Patients with Traumatic Brain Injury Using Advanced Machine Learning Techniques

Published in arXiv, 2024

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Data-Driven Machine Learning Approaches for Predicting In-Hospital Sepsis Mortality

Published in arXiv, 2024

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Optimizing Mortality Prediction for ICU Heart Failure Patients: Leveraging XGBoost and Advanced Machine Learning with the MIMIC-III Database

Published in arXiv, 2024

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Advanced Predictive Modeling for Enhanced Mortality Prediction in ICU Stroke Patients Using Clinical Data

Published in arXiv, 2024

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Effect of a Process Mining based Pre-processing Step in Prediction of the Critical Health Outcomes

Published in arXiv, 2024

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Prediction of in-hospital Mortality for ICU Patients with Heart Failure

Published in Proceedings of the 51st International Conference on Computers and Industrial Engineering, 2024

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Process Mining / Deep Learning Model to Predict Mortality in Coronary Artery Disease Patients

Published in Proceedings of the 51st International Conference on Computers and Industrial Engineering, 2024

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Deep Learning Model Utilization for Mortality Prediction in Mechanically Ventilated ICU Patients

Published in Informatics in Medicine Unlocked, 2024

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Prediction of 30-day mortality for ICU patients with Sepsis-3

Published in BMC Medical Informatics and Decision Making, 2024

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Prediction of sepsis mortality in ICU patients using machine learning methods

Published in BMC Medical Informatics and Decision Making, 2024

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A Machine Learning-Based Prediction of Hospital Mortality in Mechanically Ventilated ICU Patients

Published in PLoS one, 2024

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talks

Talk 1 on Relevant Topic in Your Field

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Conference Proceeding talk 3 on Relevant Topic in Your Field

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teaching

Engineering Statistics

Undergraduate course, Sharif University of Technology, Department of Industrial Engineering, 2021

Statistical Quality Control

Undergraduate course, Sharif University of Technology, Department of Industrial Engineering, 2021

Operations Research II

Graduate course, Sharif University of Technology, Department of Industrial Engineering, 2021

Transportation Planning

Undergraduate course, Sharif University of Technology, Department of Industrial Engineering, 2021

Foundation of Computer Simulation

Graduate course, University of Southern California, Department of Industrial and Systems Engineering, 2022

Management Information Systems

Undergraduate course, University of Southern California, Department of Industrial and Systems Engineering, 2022

ISE 330 Introduction to Optimization

Undergraduate course, University of Southern California, Department of Industrial and Systems Engineering, 2023

ISE 530 Optimization Methods for Analytics

Graduate course, University of Southern California, Department of Industrial and Systems Engineering, 2024

ISE 330 Optimization

Undergraduate course, University of Southern California, Department of Industrial and Systems Engineering, 2024

ISE 612 Quantum Optimization Algorithms

Graduate course, University of Southern California, Department of Industrial and Systems Engineering, 2024