Profile - About Me

Nooshin Yousefzadeh

Name Nooshin Yousefzadeh
Date of birth April, 1986
Adress Gainesville , FL
Email nooshinyousefzad@ufl.edu
Phone +1 352 888 3622
Website nooshinyousefzadeh.github.io

Nooshin Yousefzadeh is a Ph.D. candidate with the Department of Computer and Information Science and Engineering, University of Florida, Gainesville, FL, USA. She received a M.Sc. degree in Engineering Management from Polytechnic of Milan University and a B.Sc. degree in Robotics Engineering from Shahrood University of Technology. Her current research interest is in explainable artificial intelligence and data-driven machine learning algorithms for practical applications in intelligent transportation, health care, and sustainability science.

Research Interests

Intelligent Transportation

Optimize traffic signal control, enhance urban mobility, and improve transportation efficiency through predictive analytics.

Trustworthy & Explainable AI

Developing interpretable AI models that ensure fairness, transparency, and accountability in decision-making, with applications in critical domains such as healthcare and smart cities.

Healthcare

Assessing the spectrum of neurodegenerative diseases like Alzheimer and Parkinson through non-invasive eye fundus photography.

Resume - Personal Info

Name: Nooshin Yousefzadeh

Education: Ph.D. Candidate in Computer Science, University of Florida - M.Sc. in Engineering Management, Polytechnic of Milan - B.Sc. in Robotic Engineering, Shahrood University of Technology

Research Interests: Computational Science, Information Theory, Deep Learning

Experience: Research Fellow, Big Data Analyst, System Functional Analyst, Data Scientist, Strategic Business Data Analyst

Job Interests: Machine Learning Engineering, AI Architecture, Cloud Computing, Distributed Computing

Key Skills:

Programming & Computing

Python, Bash Scripting, Cluster Computing, SQL, R, Java, MATLAB, C, C++, Parallel Computation.

Machine Learning & AI

AI/ML Development, Deep Neural Networks, Generative Models, Transform- ers, Diffusion Models, Optimization Algorithms, Cognitive AI, Interpretable Fair AI, Probabilistic Graphical Networks.

Data Science & Analytics

Data Mining, Data Analytics, Machine Learning, Deep Learning, Graph Neural Networks, Probabilistic Models, Network Analysis, Statistical Analysis.

Big Data & Distributed Systems

Apache Spark, Hadoop, Kafka, Azure Machine Learning, Apache Oozie, TensorFlow, PyTorch, DeepLearning4J, LibTorch.

Cloud & DevOps

AWS, Azure ML, Google Cloud, MLOps, DevOps, Vertex AI, Kubernetes, Docker, MLflow, TensorBoard.

Business Intelligence & Visualization

Tableau, Qlik Sense, Google Data Studio, Google Cloud, Looker, Microsoft Power BI, KNIME.

System Design & Workflow Automation

UML, Requirements Analysis, Domain-Specific Language Modeling, Real-time Data Streaming, Kafka, Spring Boot, TPCO BW.

Publications

A Comprehensive Survey on Multilayered Graph Embedding Methods

Vietnam Journal of Computer Science

Year: 2025
TGDT: A Temporal Graph-based Digital Twin for Urban Traffic Corridors

IEEE Intelligent Transportation Systems Conference

Year: 2025
Dynamic Graph Attention Networks for Travel Time Distribution Prediction in Urban Arterial Roads

ITS World Congress

Year: 2025
MTDT: A Multi-Task Deep Learning Digital Twin

IEEE Intelligent Transportation Systems Conference

Year: 2024
Graph Attention Network for Lane-Wise and Topology-Invariant Intersection Traffic Simulation

IEEE Transactions on Intelligent Transportation Systems Journal

Year: 2024
Neuron-level explainable AI for Alzheimer’s Disease assessment from fundus images

Scientific Reports 14.1: 7710. Journal

Year: 2024
Questionable Fairness in Federated Learning

International Conference on Data Science and Machine Learning Applications

Year: 2024

Contact - Contact Me

If you are a researcher or developer with an idea for an AI-driven solution, or if you are looking to partner on a research paper or open-source project, let's connect. I am particularly interested in projects related to:

Generative AI Applications
Computer Vision and Image Recognition
Graph Theory and Network Analysis
Reinforcement Learning and Autonomous Systems

Feel free to contact me to discuss your ideas or to explore potential collaboration.

Contact info

Email: nooshinyousefzad@ufl.edu
Phone: +1 352 888 3622
Website: nooshinyousefzadeh.github.io

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