Journal of Intelligent and Multidisciplinary Computing

Heba Mohsen is an Assistant Lecturer in the Faculty of Computers and Information Technology at Future University in Egypt and serves as the AI Program Coordinator. She holds a Ph.D. in Artificial Intelligence and is actively involved in research that advances both theoretical and applied aspects of AI. Her research interests include Artificial Intelligence, Machine Learning, Computer Vision, Cybersecurity, Bioinformatics, Image Processing, Pattern Recognition, Biometrics, and Medical Data Mining. She has published several papers in local and international journals and conferences, with contributions spanning machine learning–based medical diagnosis, biometric recognition, computer vision applications, and intelligent security systems.

• Artificial Intelligence
• Machine Learning
• Bioinformatics
• Pattern Recognition
• Biometrics
• Medical Data Mining

1. Actively engaged in advanced research in artificial intelligence, machine learning, deep learning, computer vision, cybersecurity, natural language processing, medical image analysis, and smart systems
2. Authored and co-authored a large number of peer-reviewed research articles published in high-impact international journals such as IEEE Access, Sensors, Applied Sciences, Scientific Reports, Cancers, Remote Sensing, Electronics, Computers Materials & Continua, Intelligent Automation & Soft Computing, and PeerJ Computer Science
3. Contributed extensively to interdisciplinary research combining AI with healthcare, medical diagnostics, cybersecurity, Internet of Things, smart cities, social media analysis, renewable energy, and decision support systems
4. Published research addressing real-world problems including brain tumor and Alzheimer’s disease diagnosis, Parkinson’s disease detection, autism spectrum disorder classification, breast cancer diagnosis, diabetic retinopathy grading, drug–drug interaction prediction, and clinical decision support systems
5. Participated in international and regional scientific conferences, presenting research on human pose estimation, biometric systems, clustering algorithms, and intelligent computing applications
6. Involved in curriculum development and postgraduate program design with a focus on modern AI and computer science research directions
7. Served as a member of research ethics committees, supporting ethical conduct and integrity in scientific research
8. Actively contributed to academic accreditation, quality assurance, and research-oriented curriculum assessment aligned with national and international standards
9. Participated in organizing scientific conferences and academic events, supporting knowledge dissemination and scholarly collaboration
10. Engaged in continuous professional development through specialized training and workshops related to research ethics, intellectual property, data science, cloud computing, university rankings, and quality assurance in higher education
11. Collaborated with international researchers from diverse institutions, contributing to globally co-authored scientific publications
12. Supervised and guided students in research-oriented academic activities and applied AI research projects

1. B. Adel, A. Salah, M. Mahdi, H. Mohsen, View-Aware Pose Analysis: A Robust Pipeline for Multi-Person Joint Injury Prediction from Single Camera, AI, 7(1), p.7, 2026.
2. N.E. Elshami, A. Salah, A. Abellatif, H. Mohsen, Toward Robust Human Pose Estimation under Real-World Image Degradations and Restoration Scenarios, Information, 16, p.970, 2025.
3. H.K. Elziaat, H. Mohsen, M. Mabrouk, T. Nazmy, Bradykinesia Detection in Parkinson's Disease Using Machine Learning Technique, International Journal of Intelligent Computing and Information Sciences, 25(3), pp.15-29, 2025.
4. N.E. Elshami, A. Salah, H. Mohsen, A Comparative Study of Recent 2D Human Pose Estimation Methods, ICCI, pp.528-537, 2024.
5. B.B. Al-Onazi et al., Chaotic Elephant Herd Optimization with Machine Learning for Arabic Hate Speech Detection, Intelligent Automation & Soft Computing, 39(3), pp.567-583, 2024.
6. N.H. Banhawy, H. Mohsen, N.I. Ghali, A. Khedr, Offline Signature Verification Using Deep Learning Method, International Journal of Theoretical and Applied Research, 2(2), pp.225-233, 2023.
7. A. Motwakel et al., Deer Hunting Optimization with Deep Learning Enabled Emotion Classification on English Twitter Data, Computer Systems Science & Engineering, 47(3), pp.2741-2757, 2023.
8. A. Motwakel et al., Predictive Multimodal Deep Learning-Based Sustainable Renewable and Non-Renewable Energy Utilization, Computer Systems Science & Engineering, 47(1), pp.1267-1281, 2023.
9. K.M. Alalayah et al., Optimal Deep Learning Based Intruder Identification in Industrial IoT Environment, Computer Systems Science & Engineering, 46(3), pp.3121-3139, 2023.
10. K.M. Alalayah et al., Learning-Based Artificial Algae Algorithm with Optimal ML-Enabled Malware Detection, Computer Systems Science & Engineering, 46(3), pp.3103-3119, 2023.
11. M. Maashi et al., Modeling of Reptile Search Algorithm with Deep Learning for Copy-Move Image Forgery Detection, IEEE Access, 11, pp.87297-87304, 2023.
12. M.A. Hamza et al., Battle Royale Optimization with Fuzzy Deep Learning for Arabic Sentiment Classification, Computer Systems Science & Engineering, 46(2), pp.2619-2635, 2023.
13. A.A. Albraikan et al., Automated Red Palm Weevil Detection Using Gorilla Troops Optimizer with Deep Learning, IEEE Access, 11, pp.71616-71623, 2023.
14. H.J. Alshahrani et al., Modified Sine Cosine Optimization with Adaptive DBN for Movie Review Classification, Intelligent Automation & Soft Computing, 37(1), pp.283-300, 2023.
15. G. Aldehim et al., Gauss-Mapping Black Widow Optimization with Deep ELM for Android Malware Classification, IEEE Access, 11, pp.87062-87070, 2023.
16. H.A. Mengash et al., Coati Optimization-Based Energy Efficient Routing Protocol for UAV Communication, Computers, Materials & Continua, 75(3), pp.4805-4820, 2023.
17. B.B. Al-Onazi et al., Gender Identification Using Marginalised Stacked Denoising Autoencoders on Twitter Data, Intelligent Automation & Soft Computing, 36(3), pp.2529-2544, 2023.
18. L. Almuqren et al., Sine-Cosine-Adopted African Vultures Optimization with Ensemble Autoencoder-Based Intrusion Detection, Sensors, 23(10), p.4804, 2023.
19. M.A. Hamza et al., Computational Linguistics with Optimal DBN-Based Irony Detection in Social Media, Computers, Materials & Continua, 75(2), pp.4137-4154, 2023.
20. M. Aljebreen et al., Binary Chimp Optimization Algorithm with ML-Based Intrusion Detection for Secure IoT-WSN, Sensors, 23(8), p.4073, 2023.
21. S. Ahmed et al., Temporal Analysis and Opinion Dynamics of COVID-19 Vaccination Tweets, PeerJ Computer Science, 9:e1190, 2023.
22. H.A. Mengash et al., Automated Autism Spectrum Disorder Classification Using Optimal ML Model, Computers, Materials & Continua, 74(3), pp.4137-4154, 2023.
23. L. Almuqren et al., Explainable AI-Enabled Intrusion Detection Technique for Secure CPS, Applied Sciences, 13(5), p.3081, 2023.
24. F. Alrowais et al., Clinical Decision Support Systems to Predict Drug-Drug Interaction Using Multilabel LSTM, International Journal of Environmental Research and Public Health, 20(3), p.2696, 2023.
25. M. Obayya et al., Hyperparameter Optimizer with Deep Learning-Based Decision Support for Breast Cancer Diagnosis, Cancers, 15(3), p.885, 2023.
26. M. Al-Duhayyim et al., Road Damage Detection Using Hunger Games Search with Elman Neural Network, Remote Sensing, 14(24), p.6222, 2022.
27. F. Alrowais et al., Intelligent Intrusion Detection Using Arithmetic Optimization and Deep Learning, Electronics, 11(21), p.3541, 2022.
28. G.P. Mohammed et al., Autonomous Short-Term Traffic Flow Prediction Using Pelican Optimization, Applied Sciences, 12(21), p.10828, 2022.
29. F.S. Alrayes et al., Botnet Detection Using Barnacles Mating Optimizer with ML Model, Electronics, 11(20), p.3411, 2022.
30. R.H. Farouk, H. Mohsen, Y.M.A. El-Latif, A Proposed Biometric Technique for Improving Iris Recognition, International Journal of Computational Intelligence Systems, 15(1), p.79, 2022.
31. L. Hussain et al., Bayesian Dynamic Profiling of GLCM Features for Brain MRI Analysis, Scientific Reports, 12(1), p.15389, 2022.
32. M. Obayya et al., Explainable AI-Enabled Tele-Ophthalmology for Diabetic Retinopathy, Applied Sciences, 12(17), p.8749, 2022.
33. A.H. Abou El-Naga et al., Consensus Nature-Inspired Clustering of Single-Cell RNA-Sequencing Data, IEEE Access, 10, pp.98079-98094, 2022.
34. F.S. Alrayes et al., AI-Based Secure Communication for Drone-Enabled Emergency Monitoring, Drones, 6(9), p.222, 2022.
35. A. Al-Qarafi et al., Artificial Jellyfish Optimization with Deep Learning for Smart City Energy Management, Applied Sciences, 12(15), p.7457, 2022.
36. D.H. Elkamchouchi et al., Hosted Cuckoo Optimization with Stacked Autoencoder-Enabled Sarcasm Detection, Applied Sciences, 12(14), p.7119, 2022.
37. M.M. Eltahir et al., Bayesian Dynamic Inference for Congestive Heart Failure Analysis, Applied Sciences, 12(13), p.6350, 2022.
38. H.M. Alshahrani et al., Analysis and Ranking of IT Risk Factors Using Fuzzy TOPSIS, Applied Sciences, 12(11), p.5911, 2022.
39. R.H. Farouk, H. Mohsen, Y.M. Abd El-Latif, Iris Recognition System Techniques: A Literature Survey, ICCI, pp.194-199, 2022.
40. H. Shaiba et al., Hunger Search Optimization with Hybrid Deep Learning for Phishing Detection, Computers, Materials & Continua, 73(3), pp.6425-6441, 2022.
41. H.G. Mohamed et al., Feature Selection with Stacked Autoencoder-Based Intrusion Detection in Drones, Computers, Materials & Continua, 73(3), pp.5441-5458, 2022.
42. N.H. Al-Banhawy, H. Mohsen, N.I. Ghali, Signature Identification and Verification Systems: A Comparative Study, Future Computing and Informatics Journal, 5(1), pp.28-45, 2020.
43. S.A. Soliman et al., Exploiting Machine Learning Paradigms in Alzheimer's Disease, International Journal of Psychiatry and Psychotherapy, 4, pp.194-199, 2019.
44. H. Mohsen et al., Classification Using Deep Learning Neural Networks for Brain Tumors, Future Computing and Informatics Journal, 3(1), pp.68-71, 2018.
45. H. Mohsen et al., Intelligent Methodology for Brain Tumors Classification in MRI, International Journal of Computers, 11, pp.1-5, 2017.
46. H. Mohsen et al., Classification of Brain MRI for Alzheimer's Disease Using LDA, Egyptian Computer Science Journal, 41(3), pp.44-52, 2017.
47. H. Mohsen et al., Brain Tumor Type Classification Based on SVM in MRI, Annals of “Dunarea de Jos” University of Galati, Fascicle II, 2017.
48. H. Mohsen et al., Comparative Study of Segmentation Techniques for Brain MRI, ATINER Conference Paper Series, COM2016-1994, 2016.
49. E.S.A. El-Dahshan et al., Computer-Aided Diagnosis of Human Brain Tumor through MRI, Expert Systems with Applications, 41(11), pp.5526-5545, 2014.
50. H. Mohsen et al., A Machine Learning Technique for MRI Brain Images, INFOS Conference, pp.BIO-161-BIO-165, 2012.
51. H. Mohsen et al., Comparative Study of Intelligent Classification Techniques for Brain MRI, International Scientific Conference INFORMATICS, pp.175-178, 2011.