Peer-Reviewed Publications in Journals and Conferences

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• Love Fadia, Vatsal Shah Mohammad Hassanzadeh, Majid Ahmadi, and Jonathan Wu, “Multifaceted Computational Framework for COVID-19 Variant Classification using Advanced Machine Learning, Signal Processing, and High-Dimensional Feature Reduction Techniques”, International Journal of Computer Applications (IJCA), Volume 186 - Number 70, 2025

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• Vatsal Shah, Love Fadia, Mohammad Hassanzadeh, Majid Ahmadi, Jonathan Wu and George Pappas, “Dynamically Weighted Pairwise Cross-Attention Driven Feature Fusion in Hybrid Convolutional Neural Networks for Classification of COVID 19 Variants”, Journal of Computer and Information Science 18 (1), 111-167, 2025.

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• Love Fadia, Vatsal Shah, Mohammad Hassanzadeh, Majid Ahmadi, and Jonathan Wu, “Graph Attention Network and Graph Convolutional Network for Classification of Dengue Virus Variants,” 2025 3rd International Conference on Advancement in Computation & Computer Technologies (InCACCT), Gharuan, India, pp. 13-19, 2025.

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• Vatsal Shah, Love Fadia, Mohammad Hassanzadeh, Majid Ahmadi, and Jonathan Wu, "BioTwinNet: Dual-Stream Multilevel Feature Fusion for Classification of SARS-CoV-2 and Influenza Virus Variants via Genomic Image Processing," 2025 3rd International Conference on Advancement in Computation & Computer Technologies (InCACCT), Gharuan, India, pp. 243-248, 2025.

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• Seyed Ali Baniaghil, Mohammad Hassanzadeh, Majid Ahmadi, “Optimized Classification and Anomaly Detection for Enhanced Monitoring of Combined Cycle Power Plants”, Accepted in 68th IEEE International Midwest Symposium on Circuits and Systems (MWSCAS), Michigan, US, 2025.

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• Vatsal Shah, Mohammad Hassanzadeh, and Majid Ahmadi, “Integrating Graph Signal Processing with Graph Convolutional Networks for N- and O-Glycosylation Site Prediction”, Accepted in 68th IEEE International Midwest Symposium on Circuits and Systems (MWSCAS), (joint with Majid Ahmadi and Vatsal Shah), Michigan, US, 2025.

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• Love Fadia, Vatsal Shah Mohammad Hassanzadeh, Jonathan Wu, and Majid Ahmadi, “A Novel Multi-Modal Dual Pathway Network with Hierarchical Channel-Spatial Attention and Adaptive Feature Fusion for Viral Genomic Variant Classification”, submitted to the journal of Network modelling and analysis in health informatics and bioinformatics, Springer-Nature, 2025.

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• Almiqdad Elzein, Mohammad Hassanzadeh, Arezoo Emadi, “Learning Hyper-Parameters of Image Transformations for Time Series Classification, 2024 IEEE International Conference on Future Machine Learning and Data Science (FMLDS), Sydney, Australia, pp. 377-382, 2024.

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• Love Fadia, Vatsal Shah Mohammad Hassanzadeh, Jonathan Wu, and Majid Ahmadi, “Genomic Transformers: Innovative Approaches to Hepatitis Virus Subtyping”, Accepted in 2025, IEEE-13th International Conference on Bioinformatics and computational Biology (ICBCB 2025), Seoul, South Korea, 2024.

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• Seyed Ali Baniaghil,  Vatsal Shah, Love Fadia, Mohammad Hassanzadeh, Majid Ahmadi, and Jonathan Wu, “Advanced Forecasting of CPP Output Power Using Regression and Neural Network Models”, Accepted in 11th Annual Conf. on Computational Science & Computational Intelligence (CSCI'24), Las Vegas, USA, 2024.

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• Love Fadia, Vatsal Shah Mohammad Hassanzadeh, Jonathan Wu, and Majid Ahmadi, “An Efficient Method for Classification of different types Of Hepatitis Virus using Extended Genomic Signal Processing and Machine Learning, Proceedings of the 1st World Congress 2024 Detroit, Detroit, United States, Publisher: IEOM Society International, 2024.

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• Vatsal Shah, Love Fadia, Mohammad Hassanzadeh, Majid Ahmadi, and Jonathan Wu,   “Redefined Classification of Hepatitis Variants through Arima, Signal Processing and Machine Learning” , Proceedings of the 2024 8th International Conference on Computational Biology and Bioinformatics, ACM, pp. 136-143, 2024.

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• Shaghayegh, Khalighiyan , Mohammad Hassanzadeh, Esam Abdel-Raheem, “Brain Tumor Classification through Transfer Learning Models”, Accepted in 11th Annual Conf. on Computational Science & Computational Intelligence (CSCI'24), Las Vegas, USA, 2024.

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• Vatsal Shah, Love Fadia, Mohammad Hassanzadeh, Majid Ahmadi, and Jonathan Wu,  “DENG-Transformer: A Transformer Based Approach for Classification of Different Subtypes of Dengue Virus”, Proceedings of the 2024 8th International Conference on Computational Biology and Bioinformatics, ACM, pp. 98-105, 2024.

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