Hybrid InceptionResNet-v2 Transfer Learning to Diagnose Lung Cancer
Convolutional Neural Networks, Lung Cancer, Transfer Learning
Post-Hashtag Incongruity on Instagram
Computer Vision, NLP, Deep Learning, Object Detection, Multimodality
SEAndroid Policy
A Novel Real-World Policy Dataset for Security Research (Extracted from Rooted Android Devices)
Mining Attributed DTE Policies
A MaxSAT-Based Reduction Framework for Attributed Policy Mining
Checkovid
Natural Language Processing, Deep Learning, Machine Learning, COVID-19, Misinformation
MFCC Speech Recognition
Speech Recognition, Python
Engagehub
Python
CANIS Data Visualization & Foreign Interference Challenge
Python
Cando
Java, Spring, React Native
Call of Typing
Python, Django, JavaScript, Html, Css
Hopfield Network
Python
Desktop Education Portal
Java, JavaFX
Cafe Bazzar Data Science
Recommender system, Machine Learning, Deep Learning, Python
Data Analyzing of Digikala
MySQL, Python
About me and my work
Education
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Computer Science, MSc - University of Calgary (2023-2025)
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Computer Science, BSc - Amirkabir University of Technology (2016-2021)
Publication
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Dadgar, S., & Neshat, M. (2022). A Novel Hybrid Multi-Modal Deep Learning for Detecting Hashtag Incongruity on Social Media. (Published by Sensors Journal) doi.org/10.3390/s22249870
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Dadgar, S., & Neshat, M. (2022). Comparative Hybrid Deep Convolutional Learning Framework with Transfer Learning for Diagnosis of Lung Cancer. (Accepted at 14th International Conference on Soft Computing and Pattern Recognition - Published by Springer) doi.org/10.1007/978-3-031-27524-1_28
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Dadgar, S., & Ghatee, M. (2021). Checkovid: A COVID-19 Misinformation Detection System on Twitter Using Network and Content Mining Perspective. doi.org/10.48550/arXiv.2107.09768
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Dadgar, S., & Zhang, S., & Prof. Fong, P. (2026) Mining Attributed DTE Policies. (Accepted at EuroS&P conference)
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Dadgar, S., & Neshat, M., & Ziaee, S. (2025). Effective and Accurate wave farm power prediction using Cooperative Multi-objective Covariance Adaptation Gradient Ensemble Model with Comprehensive Comparative Experiments. (Accepted at SDEWES conference)
Work Experiences & Teaching Experiences
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AI Researcher, Cybersecurity Research lab in University of Calgary, Canada
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Data Scientist, Digikala
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Data Science Research Assistant (Supervisor: Dr. Mehdi Neshat, @University of South Australia)
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Software Engineer - Software Development Internship @Rahnema College
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Teacher Assistant of “Explorations in AI & ML” Course - @University of Calgary
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Teacher Assistant of “Introduction to Software Engineering” Course - @University of Calgary
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Teacher Assistant of “Web-Based Systems” Course - @University of Calgary
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Teacher Assistant of “Techniques for Numerical Computation” Course - @University of Calgary
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Teacher Assistant of “Artificial Intelligence” Course - @Amirkabir University of Technology (AUT)
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Vice President of Finance - @Computer Science Graduate Society (CSGS) - University of Calgary
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Head of Informatic and Contests of Students’ Scientific Association - @Department of Mathematics & Computer Science - Amirkabir University of Technology (AUT)
