By Dr Mohammed Fawzy Fahmy Hassanin

Journal articles

Alotaibi M; Hassanin M; Moustafa N; Radwan I, 2027, 'KAN–LSTM: Benchmarking Kolmogorov–Arnold Networks for cyber security threat detection in IoT networks', Ad Hoc Networks, 195, http://dx.doi.org/10.1016/j.adhoc.2026.104427

Hassanin M; Keshk M; Salim S; Alsubaie M; Sharma D, 2025, 'PLLM-CS: Pre-trained Large Language Model (LLM) for cyber threat detection in satellite networks', Ad Hoc Networks, 166, http://dx.doi.org/10.1016/j.adhoc.2024.103645

Hassanin M; Khamis A; Bennamoun M; Boussaid F; Radwan I, 2025, 'Crossformer3D: cross spatio-temporal transformer for 3D human pose estimation', Signal, Image and Video Processing, 19, pp. 618, http://dx.doi.org/10.1007/s11760-025-04145-0

Nabawy RM; Hassanin M; Ibrahim MH; Kaseb MR, 2024, 'Mixed fragmentation technique for securing structured data using multi-cloud environment (MFT-SSD)', Ad Hoc Networks, 164, http://dx.doi.org/10.1016/j.adhoc.2024.103625

Salim S; Moustafa N; Hassanian M; Ormod D; Slay J, 2024, 'Deep-Federated-Learning-Based Threat Detection Model for Extreme Satellite Communications', IEEE Internet of Things Journal, 11, pp. 3853 - 3867, http://dx.doi.org/10.1109/JIOT.2023.3301626

Hassanin M; Moustafa N; Razzak I; Tanveer M; Ormrod D; Slay J, 2024, 'Dynamic Hypersphere Embedding Scale Against Adversarial Attacks', IEEE Transactions on Engineering Management, 71, pp. 12475 - 12486, http://dx.doi.org/10.1109/TEM.2022.3194487

Hassanin M; Anwar S; Radwan I; Khan FS; Mian A, 2024, 'Visual attention methods in deep learning: An in-depth survey', Information Fusion, 108, pp. 102417, http://dx.doi.org/10.1016/j.inffus.2024.102417

Hassanin M; Khan S; Tahtali M, 2022, 'Visual Affordance and Function Understanding', ACM Computing Surveys, 54, http://dx.doi.org/10.1145/3446370

Hassanin M; Moustafa N; Tahtali M; Choo KKR, 2022, 'Rethinking maximum-margin softmax for adversarial robustness', Computers and Security, 116, http://dx.doi.org/10.1016/j.cose.2022.102640

Hassanin M; Radwan I; Khan S; Tahtali M, 2022, 'Learning discriminative representations for multi-label image recognition', Journal of Visual Communication and Image Representation, 83, http://dx.doi.org/10.1016/j.jvcir.2022.103448

Moustafa N; Khan IA; Hassanin M; Ormrod D; Pi D; Razzak I; Slay J, 2022, 'DFSat: Deep Federated Learning for Identifying Cyber Threats in IoT-based Satellite Networks', IEEE Transactions on Industrial Informatics, pp. 1 - 8, http://dx.doi.org/10.1109/TII.2022.3214652

Hassanin M; Radwan I; Moustafa N; Tahtali M; Kumar N, 2021, 'Mitigating the impact of adversarial attacks in very deep networks', Applied Soft Computing, 105, http://dx.doi.org/10.1016/j.asoc.2021.107231

Badry M; Hassanin M; Chandio A; Moustafa N, 2021, 'Quranic Script Optical Text Recognition Using Deep Learning in IoT Systems', Computers, Materials and Continua

Hassanin M; Khan S; Tahtali M, 2020, 'A New Localization Objective for Accurate Fine-Grained Affordance Segmentation under High-Scale Variations', IEEE Access, 8, pp. 28123 - 28132, http://dx.doi.org/10.1109/ACCESS.2019.2958608

Orabi A; El-Sheikh E; Hassanin M; Kady ME; Abdel-Khalek M; Mowafy A, 2018, 'Extraction of rare earth elements from Abu–Tartour wet process phosphoric acid using synthesized salicylaldehyde azine', Minerals Engineering, 122, pp. 113 - 121, http://dx.doi.org/10.1016/j.mineng.2018.03.037

Conference Papers

Papillon M; Hajij M; Jenne H; Mathe J; Myers A; Papamarkou T; Birdal T; Dey T; Doster T; Emerson T; Gopalakrishnan G; Govil D; Guzman-Saenz A; Kvinge H; Livesay N; Mukherjee S; Samaga SN; Ramamurthy KN; Karri MR; Rosen P; Sanborn S; Walters R; Agerberg J; Barikbin S; Battiloro C; Bazhenov G; Bernardez G; Brent A; Escalera S; Fiorellino S; Gavrilev D; Hassanin M; Hausner P; Gardaa OH; Khamis A; Lecha M; Magai G; Malygina T; Ballester R; Nadimpalli K; Nikitin A; Rabinowitz A; Salatiello A; Scardapane S; Scofano L; Singh S; Sjound J; Snopov P; Spinelli I; Telyatnikov L; Testa L; Yang M; Yue Y; Zaghen O; Zia A; Miolane N, 2023, 'ICML 2023 Topological Deep Learning Challenge: Design and Results', in Doster T; Emerson T; Kvinge H; Miolane N; Papillon M; Rieck B; Sanborn S (eds.), TOPOLOGICAL, ALGEBRAIC AND GEOMETRIC LEARNING WORKSHOPS 2023, VOL 221, JMLR-JOURNAL MACHINE LEARNING RESEARCH, HI, Int Conf Machine Learning, Honolulu, presented at 2nd Annual Workshop on Topology, Algebra, and Geometry in Machine Learning (TAG-ML), HI, Int Conf Machine Learning, Honolulu, 28 July 2023

Elsayed S; Hassanin M, 2023, 'Improved Shepherding Model for Large-scale Swarm Control', in International Conference on Smart Computing and Application Icsca 2023, http://dx.doi.org/10.1109/ICSCA57840.2023.10087385

Hassanin M; Moustafa N; Tahtali M, 2020, 'A Deep Marginal-Contrastive Defense against Adversarial Attacks on 1D Models', Canberra, Australia, presented at The 2020 IEEE Symposium Series on Computational Intelligence (SSCI), Canberra, Australia, 04 December 2020

Hassanin MF; Shoeb AM; Hassanien AE, 2016, 'Grey Wolf optimizer-based back-propagation neural network algorithm', in 2016 12th International Computer Engineering Conference, ICENCO 2016: Boundless Smart Societies, Cairo, Egypt, pp. 213 - 218, presented at 2016 12th International Computer Engineering Conference (ICENCO), Cairo, Egypt, 28 December 2016 - 29 December 2016, http://dx.doi.org/10.1109/ICENCO.2016.7856471

Hassanin MF; Hassan M; Shoeb A, 2016, 'DDBSCAN: Different Densities-Based Spatial Clustering of Applications with Noise', in 2015 International Conference on Control Instrumentation Communication and Computational Technologies Iccicct 2015, pp. 401 - 404, http://dx.doi.org/10.1109/ICCICCT.2015.7475312

Yamany W; Tharwat A; Hassanin MF; Gaber T; Hassanien AE; Kim TH, 2016, 'A New Multi-layer Perceptrons Trainer Based on Ant Lion Optimization Algorithm', in Proceedings 2015 4th International Conference on Information Science and Industrial Applications Isi 2015, pp. 40 - 45, http://dx.doi.org/10.1109/ISI.2015.9

Preprints

Hassanin M; Moustafa N; Deng W; Radwan I, 2026, Progressive Split Mamba: Effective State Space Modelling for Image Restoration, http://dx.doi.org/10.48550/arxiv.2603.09171

Hassanin M; Alsheikh MA; Kuhn CCN; Herath D; Hoang DT; Radwan I, 2025, Towards Autonomous Riding: A Review of Perception, Planning, and Control in Intelligent Two-Wheelers, http://dx.doi.org/10.48550/arxiv.2507.11852

Hassanin M; Moustafa N, 2024, A Comprehensive Overview of Large Language Models (LLMs) for Cyber Defences: Opportunities and Directions, http://dx.doi.org/10.48550/arxiv.2405.14487

Hassanin M; Keshk M; Salim S; Alsubaie M; Sharma D, 2024, PLLM-CS: Pre-trained Large Language Model (LLM) for Cyber Threat Detection in Satellite Networks, http://dx.doi.org/10.48550/arxiv.2405.05469

Hassanin M; Anwar S; Radwan I; Khan FS; Mian A, 2024, Visual Attention Methods in Deep Learning: An In-Depth Survey, http://dx.doi.org/10.48550/arxiv.2204.07756

Hassanin M; Khamiss A; Bennamoun M; Boussaid F; Radwan I, 2022, CrossFormer: Cross Spatio-Temporal Transformer for 3D Human Pose Estimation, http://dx.doi.org/10.48550/arxiv.2203.13387

Hassanin M; radwan I; Tahtali M; Goecke R, 2022, Resanet: Residual Aggregation Networks for Dense Prediction, http://dx.doi.org/10.2139/ssrn.4212324

Hassanin M; Radwan I; Khan S; Tahtali M, 2021, Learning Discriminative Representations for Multi-Label Image Recognition, http://dx.doi.org/10.48550/arxiv.2107.11159

Hassanin M; Moustafa N; Tahtali M, 2020, A Deep Marginal-Contrastive Defense against Adversarial Attacks on 1D Models, http://dx.doi.org/10.48550/arxiv.2012.04734

Hassanin M; Radwan I; Moustafa N; Tahtali M; Kumar N, 2020, Mitigating the Impact of Adversarial Attacks in Very Deep Networks, http://dx.doi.org/10.48550/arxiv.2012.04750

Hassanin M; Khan S; Tahtali M, 2018, Visual Affordance and Function Understanding: A Survey, http://dx.doi.org/10.48550/arxiv.1807.06775

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