Data Scientist & AI Researcher

Technical Skills:

• Languages: Python, SQL, R, MATLAB, Julia, HTML, C++, C#
• Machine Learning & AI: Deep Learning, Predictive Modeling, Generative AI (LLMs), Natural Language Processing (NLP), Computer Vision, Reinforcement Learning
• Frameworks & Libraries: PyTorch, TensorFlow, Keras, Scikit-Learn, Pandas, NumPy, OpenCV, Google Gemini API
• Data & Visualization: Tableau, Power BI, Apache Spark, Git

Education

• Ph.D. Candidate, Structural Engineering (Computational AI Focus) | University of Kansas (2025 – Present) Research Focus: Applying Deep Learning and AI-driven methodologies to analyze multimodal data and detect defects in complex structures.

• M.Eng., Systems Analytics | Stevens Institute of Technology (2025) Achievements: Full scholarship, Provost Fellowship, GPA: 4.0

• M.S., Structures Design | Sharif University of Technology (2022) Achievements: Full scholarship, ranked 5th in the nationwide M.Sc. entrance exam in Aerospace Engineering

• B.S., Electronic and Communication | Chabahar Maritime University (2011) Achievements: Full scholarship, Top 1% in nationwide university entrance exam

Work Experience

Project Manager @ Elm Kar Sanaat Institute (Apr 2018 – Sep 2023)

• Directed multidisciplinary teams in project execution, driving operational improvements through analytical insights and data-driven methodologies.
• Managed project timelines, workflows, and deliverables to align with strategic organizational goals.
• Mentored team members in advanced analytical tools, elevating overall technical capabilities and efficiency by 20%.

Data Scientist @ Mehr Tejarat Co. (Jun 2015 – Apr 2018)

• Engineered and deployed advanced Python-based data strategies to optimize organizational processes and predictive modeling.
• Analyzed complex market trends and large operational datasets, informing strategic decisions that boosted sales efficiency by 35%.

Managing Editor @ Robotics & Electronics Scientific Journal (Jun 2008 – Apr 2010)

• Oversaw editorial processes, ensuring high-quality publications and efficient peer-review workflows.

Projects

StructurSense (AI-Powered Structural Health Monitoring)

• Built for the AI x WiC x SASE Hackathon. - A Gemini-powered structural health monitoring tool that analyzes infrastructure imagery to instantly detect fatigue, spalling, and corrosion.

Automated Academic Peer-Review Assistant (Generative AI)

• Built for the Best Use of Gemini API Hackathon. - Engineered an AI co-pilot using Python, Streamlit, and the Google Gemini API to natively ingest and process complex technical PDFs, bypassing OCR for rapid data synthesis.
• Leveraged advanced prompt engineering to automatically generate standardized, journal-ready evaluations and built an interactive chat interface to interrogate the document’s memory.

Public Sentiment Analysis

• Analyzed tweets to gauge public sentiment and track real-time reactions during presidential debates using NLP techniques.

Diabetes Outcome Prediction

• Implemented a Random Forest Classifier and ensemble methods to predict diabetes outcomes based on diverse health metrics and patient data.

Emotion Recognition from Audio

• Analyzed audio data (1D time-series signals) for emotion recognition through advanced model training and feature extraction.

Bitcoin Price Prediction

• Conducted a comparative analysis of Random Forest, Gradient Boosting, KNN, ARIMA, and LSTM models to predict highly volatile Bitcoin prices and interpret market trends.

Credit Card Fraud Detection

• Utilized machine learning and AutoML (PyCaret) to identify anomalies and detect fraud in high-dimensional credit card transaction datasets.

Defect Segmentation using YOLOv7, Faster R-CNN, and Mask R-CNN

• Designed and implemented computer vision models for precise instance segmentation and automated detection of structural defects.

Circuit Design Projects

• Engineered and designed hardware projects utilizing Altium Designer, Proteus, and ADS for efficient electronic circuit design.

Publications

• Ataei, S., et al. (2026). “Artificial Intelligence in Bridge Structural Health Monitoring: A Comprehensive Systematic Analysis of Methods, Models, and Applications”. Archives of Computational Methods in Engineering, Springer Netherlands.

• Mohammadagha, M., Khoshkonesh, A., Sharifi, S., Belbasi, A. A., Ghanbarizadeh, V., Ataei, S., et al. (2026). “Machine Learning Stacking Ensemble for Condition Assessment of Power Cable Networks”. Engineering Archive.

• Ataei, S., et al. (2026). “D2H-AD: A Hybrid Model Utilizing Hyperdimensional Computing for Advanced Anomaly Detection”. IEEE Access (Accepted).

• Ataei, S., et al. (2026). “Meta-Ensemble Learning for Corrosion Detection in Steel Bridges”. International Association of Bridge Management and Safety (IABMAS).

• Ataei, S., et al. (2025). “Data-driven detection and evaluation of damages in concrete structures: Using deep learning and computer vision”. Applied Data Science in Engineering and Health.

• Ameli Kolkhoran, S. M., Ataei, S., et al. (2025). “Deep Reinforcement Learning for Dynamic Pricing Strategies: Empirical Evidence from E-Commerce Platforms”. International Journal of Science and Engineering Applications.

• Ataei, S., et al. (2025). “Applications of Deep Learning to Cryptocurrency Trading: A Systematic Analysis”. Soft Computing Fusion With Applications.

• Ataei, S., et al. (2025). “A Systematic Review on the Application of Artificial Intelligence in Decentralized Finance”. International Journal of Applied Data Science in Engineering and Health.

Academic & Professional Service

• Peer Reviewer: Expert Systems with Applications
• Peer Reviewer: Decision Analytics Journal
• Peer Reviewer: Structural Health Monitoring
• Peer Reviewer: Mechanical Systems and Signal Processing

Licenses & Certifications

• Deep Learning Certificate & Machine Learning Certificate – Coursera
• Hands-On Data Science using SQL, Tableau, Python, and Spark – Free the Data Academy
• Integrating Generative AI into Business Strategy – NASBA
• AI in Project Management – Project Management Institute (PMI)
• The Eight Essential People Skills for Project Management – Project Management Institute (PMI)
• The Data Scientist Toolbox – Johns Hopkins University / Coursera
• Society Student Membership – American Society of Civil Engineers (ASCE)