CV
My updated academic resume and activities as of February 2024.
General Information
| Full Name | Hoda Zamani PhD in Artificial Intelligence and Robotics |
| Languages | Persian, English |
Education
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2015 Master
IAU Najafabad Branch - Low-cost Method for Predicting Diabetes Type II by Applying Feature Selection
- Supervisor Dr. Mohammad H. Nadimi-Shahraki
- GPA 4/4
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2020 PhD
IAU Najafabad Branch - Effective Meta-heuristic Algorithms based on Birds' Behavior for Solving Large-Scale Global Optimization Problems
- Supervisor Dr. Mohammad H. Nadimi-Shahraki
- Advisor Dr. Amir H. Gandomi
- GPA 4/4
Experience
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2018 - 2023 Senior Researcher
Big Data Research Center & Faculty of Computer, Najafabad Branch - Mentoring of Master and PhD students
- Collaborating on Activities and Projects at the Big Data Research Center
- Leading an Innovation Project for the International Festival
- Achieving the Best International Innovator Award
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2017-2019 Lecturer at the university
Somayeh University, Najafabad, Isfahan, Iran - Operating System Concepts
- Operating System Lab
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2018 Lecturer at the University
Najafabad Institute of Higher Education, Isfahan, Iran - C and C++ programming language
- Python programming language
Skills
- Mathematics and statistics
- Programming languages including Python, R, Matlab, and C++
- Data analysis, machine learning, and artificial intelligence libraries include NumPy, pandas, scikit-learn, TensorFlow, PyTorch, and Keras
- Data structures and algorithms
- Data analysis and visualization
- Machine learning and artificial intelligence concepts and techniques
Certificates
- MATLAB programming language from Stanford
- Data Analysis w ith Python
- Machine Learning w ith Python
- Deep Learning
- Convolutional Neural Networks
- Neural Networks and Deep Learning
- Improving Deep Neural Networks:Hyperparameter Tuning, Regularization and Optimization
- Structuring Machine Learning Projects
- Sequence Models
- Advanced Learning Algorithms
- Supervised Machine Learning:Regression and Classification
Voluntary Activities
- Peer reviewer for scientific journals from Elsevier, Springer, and MDPI
Open Source Projects
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2017-2019 Type 2 Diabetes Detection
- Low-cost Detection of Type 2 Diabetes
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2019-2020 Pharmacy Mobile App
- My Family Pharmacy Mobile App
Honors and Awards
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2016 - Best researcher award for Master's Degree
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2018 - Best PhD student award
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2019 - Best National Innovator Award winner
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2022 - Outstanding Ph.D. Thesis Award at the 13th IEEE Iran Section Awards Ceremony
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2023 - Best PhD researcher award
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2023 - Best Theory Paper over three years (2020-2022)
Professional Associations and Membership
- Senior researcher in Big Data Research Center from 2018 to present
- Member of IEEE
- Member of the International Association of Engineers
- Member of Universal Scientific Education and Research Network
- Member and managing director of the Intelligent Big Data Analysis in Medicine group
Academic Interests
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Data analysis
- Developing new methods and tools for data collection, cleaning, integration, and visualization
- Applying statistical techniques to analyze different data types, such as numerical, categorical, image, textual, spatial, temporal, and network data
- Discovering and validating causal relationships, hypotheses, and models from data
- Evaluating the quality, reliability, and reproducibility of data analysis results
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Machine learning algorithms
- Developing new algorithms and models that can handle complex, high-dimensional, and noisy data
- Exploring the theoretical foundations and limitations of machine learning, such as computational complexity, statistical learning theory, and explainability
- Applying machine learning to solve real-world problems in various domains, such as health, education, engineering, and humanities
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Large Scale Optimization
- Developing new algorithms and models that can handle the complexity, uncertainty, and scalability of large-scale optimization problems
- Exploring the theoretical properties and guarantees of large-scale optimization methods, such as convergence, robustness, and efficiency
- Applying large-scale optimization techniques to solve challenging problems in various domains, such as artificial intelligence, energy, transportation, and health
Publications
- QANA:Quantum-based avian navigation optimizer algorithm
- Starling murmuration optimizer:A novel bio-inspired algorithm for global and engineering optimization
- DMDE:Diversity-maintained multi-trial vector differential evolution algorithm for non-decomposition large-scale global optimization
- List of other publications