Prof. Gautam Srivastava
Brandon
University, Canada
Email: srivastavag@brandonu.ca
Qualifications
Ph.D., University of Victoria, Canada
M.Sc., University of Victoria, Canada
B.Sc., Briar Cliff University, USA
Publications (Selected)
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Adil, Z. U. I., Iqbal Khan, M., Sanam, K., Malik, S. U., Moqurrab, S. A., & Srivastava, G. (2025). LightAuth: a lightweight sensor nodes authentication framework for smart health system. Expert Systems, 42(2), e13756.
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Srivastava, G., & Lin, C. W. (2025). Guest Editorial Special Section on Fuzzy-Deep Neural Network Learning in Sentiment Analysis. IEEE Transactions on Fuzzy Systems, 33(1), 1-2.
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Zulfiqar, Z., Malik, S. U., Moqurrab, S. A., Zulfiqar, Z., Yaseen, U., & Srivastava, G. (2024). DeepDetect: An innovative hybrid deep learning framework for anomaly detection in IoT networks. Journal of Computational Science, 83, 102426.
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Belhadi, A., Djenouri, Y., Belbachir, A. N., Michalak, T., & Srivastava, G. (2024). Shapley visual transformers for image-to-text generation. Applied Soft Computing, 166, 112205.
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Jain, A., Barke, S., Garg, M., Gupta, A., Narwal, B., Mohapatra, A. K., ... & Srivastava, G. (2024). A walkthrough of blockchain-based internet of drones architectures. IEEE Internet of Things Journal.
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Hamza, A., Javed, A. R., Iqbal, F., Yasin, A., Srivastava, G., Połap, D., ... & Jalil, Z. (2024). Multimodal religiously hateful social media memes classification based on textual and image data. ACM Transactions on Asian and Low-Resource Language Information Processing, 23(8), 1-19.
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Ullah, F., Ullah, S., Srivastava, G., Lin, J. C. W., & Zhao, Y. (2024). NMal-Droid: network-based android malware detection system using transfer learning and CNN-BiGRU ensemble. Wireless Networks, 30(6), 6177-6198.
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Namakshenas, D., Yazdinejad, A., Dehghantanha, A., Parizi, R. M., & Srivastava, G. (2024). IP2FL: interpretation-based privacy-preserving federated learning for industrial cyber-physical systems. IEEE Transactions on Industrial Cyber-Physical Systems.
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Patel, A. N., Murugan, R., Srivastava, G., Maddikunta, P. K. R., Yenduri, G., Gadekallu, T. R., & Chengoden, R. (2024). An explainable transfer learning framework for multi-classification of lung diseases in chest X-rays. Alexandria Engineering Journal, 98, 328-343.
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Djenouri, Y., Belbachir, A. N., Michalak, T., Belhadi, A., & Srivastava, G. (2024). Enhancing smart road safety with federated learning for Near Crash Detection to advance the development of the Internet of Vehicles. Engineering Applications of Artificial Intelligence, 133, 108350.
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Ahmed, U., Lin, J. C. W., & Srivastava, G. (2024). Multi-aspect detection and classification with multi-feed dynamic frame skipping in vehicle of internet things. Wireless Networks, 30(5), 4543-4554.
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Yazdinejad, A., Dehghantanha, A., Karimipour, H., Srivastava, G., & Parizi, R. M. (2024). A robust privacy-preserving federated learning model against model poisoning attacks. IEEE Transactions on Information Forensics and Security.
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Chen, J., Wang, Z., Srivastava, G., Alghamdi, T. A., Khan, F., Kumari, S., & Xiong, H. (2024). Industrial blockchain threshold signatures in federated learning for unified space-air-ground-sea model training. Journal of Industrial Information Integration, 39, 100593.
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Yenduri, G., Ramalingam, M., Selvi, G. C., Supriya, Y., Srivastava, G., Maddikunta, P. K. R., ... & Gadekallu, T. R. (2024). Gpt (generative pre-trained transformer)–a comprehensive review on enabling technologies, potential applications, emerging challenges, and future directions. IEEE Access.
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Yazdinejad, A., Dehghantanha, A., Srivastava, G., Karimipour, H., & Parizi, R. M. (2024). Hybrid privacy preserving federated learning against irregular users in next-generation Internet of Things. Journal of Systems Architecture, 148, 103088.
Profile Details
WoS ResearcherID: N-5668-2019
https://orcid.org/0000-0001-9851-4103
https://people.brandonu.ca/srivastavag/
https://scholar.google.com.hk/citations?hl=zh-CN&user=qk9hEQoAAAAJ
https://www.researchgate.net/profile/Gautam-Srivastava