Professor Noor Zaman Jhanjhi

Professor Noor Zaman Jhanjhi

  • Distinguished Professor
Department of Smart Computing and Cyber Resilience
  • School of Computing and Artificial Intelligence
Faculty of Engineering and Technology
Google Scholar ORCID Scopus ResearchGate
SDGs Focus
Good Health and Well Being
Affordable and Clean Energy
Industry, Innovation and Infrastructure
Sustainable Cities and Communities

Biography

Professor Dr Noor Zaman Jhanjhi is an internationally recognized academic, distinguished researcher, and visionary leader in Artificial Intelligence, Cybersecurity, and Digital Innovation. He serves as a Distinguished Professor of Computer Science (AI & Cybersecurity) at the School of Engineering and Technology (FET), Sunway University, Malaysia, and he has held prominent leadership roles as the Director of the Centre for Intelligent Innovation (CII), Director of the Centre for Smart Society 5, and Program Director for Postgraduate Research Degree Programmes, etc. contributing significantly to research excellence and academic advancement.

Globally acknowledged for his scholarly impact, Professor Jhanjhi has been consistently ranked among the World’s Top 2% Scientists for four consecutive years (2022–2025). He is also recognized as one of Malaysia’s leading computer science researchers and was ranked among the top 0.05% of scholars worldwide in the 2025 ScholarGPS rankings. He has H-indices of 107 and 82 in GS and Scopus, respectively.

His outstanding contributions have earned him several prestigious recognitions, including the Outstanding Faculty Member Award by MDEC Malaysia (2022) and the Vice Chancellor’s Best Research Citations Award from Taylor’s University (2023). A prolific author and editor, he has published and edited more than 100 books with leading international publishers, including Springer, Elsevier, IET, Wiley, IGI Global, Bentham Sciences, CRC Taylor’s, and Frances.

Professor Jhanjhi has successfully supervised 45 postgraduate graduates and examined more than 90 doctoral and master’s theses worldwide. He served as an Editor-in-Chief, Associate Editor, and Editorial Board Member for several prestigious journals, including PeerJ Computer Science, IEEE Access, and Computers, Materials & Continua (CMC), etc.

In addition, he has secured over 45 international research grants, delivered more than 100 keynote and invited talks globally, and actively contributed to international accreditation and quality assurance bodies, including ABET, NCAAA, and NCEAC.

Through his exceptional research achievements, academic leadership, and commitment to mentorship, Professor Dr Noor Zaman Jhanjhi continues to make significant contributions to the advancement of Artificial Intelligence, Cybersecurity, and global higher education.

Academic & Professional Qualifications

  • PhD in IT, Universiti Teknologi PETRONAS (UTP), Malaysia, 2015
  • MS in Computer Science, UAF, Pakistan, 2000
  • BS in Engineering, UAF, Pakistan, 1998

Research Interests

  • Cybersecurity
  • Wireless Security
  • Artificial Intelligence
  • Agentic AI
  • Quantum Security
  • Security and Privacy
  • Software Engineering
  • Smart and Sustainable Energy

Teaching Areas

  • Cybersecurity
  • Security & Networks
  • Computer Science
  • Software & Systems
  • Artificial Intelligence & Data

Courses Taught

  • Research methodology
  • Secure Software Systems
  • New Trends in Computer Networks
  • Computer Network Security
  • Mobile Computing
  • Introduction to Cloud Computing
  • Python for Data Science

Notable Publications

  1. Rimsha Kanwal, Humaira Ashraf, N.Z. Jhanjhi, Qurat ul Ain Zam Zam Mirza, Deepfake detection: A review of audio, visual and multimodal techniques, Applied Soft Computing, Volume 202, Part B, 2026, 115845, https://doi.org/10.1016/j.asoc.2026.115845
  2. Danish Javed, N.Z. Jhanjhi, Najma Imtiaz Ali, Explainable ai-driven triple adaptive feature selection model for enhanced telecom churn prediction, Results in Engineering, Volume 31, 2026, 111361, https://doi.org/10.1016/j.rineng.2026.111361     
  3. Salahuddin, , Haseeb, K., Nasir, M., Jhanjhi, N., Humayun, M. (2026). Energy-Efficient and Load-Balanced Edge-Driven Vehicular Network Using Intelligent Task Offloading. Computers, Materials & Continua, 88(1), 88. https://doi.org/10.32604/cmc.2026.079584
  4. Fatima, M., Rehman, O., Jhanjhi, N.Z. et al. SH-IDS: a resilient self-healing intrusion detection framework against DoS and DDoS attacks in IoT systems. Sci Rep 16, 19728 (2026). https://doi.org/10.1038/s41598-026-48932-2
  5. Sultan, H.S., Fahad, L.G., Tariq, N., Jahnjhi, N.Z., Humayun, M. (2026). Location and Object Aware Model for Parallel Activity Recognition in Multi-Resident Smart Homes. Computers, Materials & Continua, 87(3), 83. https://doi.org/10.32604/cmc.2026.076379
  6. Yu Shi, Wei Wei Goh, N.Z. Jhanjhi, A roadmap to implement Metaverse in education field based on ADDIE model: A systematic review, Computers and Education Open, Volume 10, 2026, 100365, https://doi.org/10.1016/j.caeo.2026.100365. 
  7. Khan, T.K., Karamat, T., Tanveer, M. et al. AI-powered dynamic queue optimization in bursty multi traffic environment. J Cloud Comp 15, 66 (2026). https://doi.org/10.1186/s13677-026-00884-8
  8. Alharbi, M., Haseeb, K., Jhanjhi, N.Z. et al. Blockchain-driven trust management and AI computing for sensor networks optimization. Sci Rep 16, 13817 (2026). https://doi.org/10.1038/s41598-026-41302-y
  9. Mishra, S., Mohata, R., Tripathy, H. K., Mohanty, J. R., Sahoo, K. S., Jhanjhi, N. Z., & Alourani, A. (2025). AttentionDriveNet: Fusion of deep cognitive network with Attention modeling for robust navigation in Self-driving vehicles. PLOS ONE, 20(12), e0330933. https://doi.org/10.1371/journal.pone.0330933
  10. Alsulami, F., Jhanjhi, N.Z. Deep learning framework for barcode localization and decoding using simulated UAV imagery. Sci Rep 16, 399 (2026). https://doi.org/10.1038/s41598-025-29720-w
  11. Li J, Goh W and Jhanjhi NZ (2025) A lightweight CNN for colon cancer tissue classification and visualization. Front. Oncol. 15:1659010. doi: 10.3389/fonc.2025.1659010
  12. Ibrahim Abaker Hashem, Saber Zerdoumi, NZ Jhanjhi, Aisha Siddiqa, Sebti Foufou, Optimization and performance analysis of Drones and Unmanned Aerial Systems and Their Intelligence Applications, International Journal of Cognitive Computing in Engineering, Volume 7, 2026, Pages 128-144, https://doi.org/10.1016/j.ijcce.2025.10.004. 
  13. Ansari, Z.A., Ansari, M.S.H., Khan, A. et al. Optimized and interpretable machine learning framework for early breast cancer detection. Health Technol. 15, 1135–1147 (2025). https://doi.org/10.1007/s12553-025-01011-4
  14. Brohi S, Mastoi Q-u-a, Jhanjhi NZ, Pillai TR. A Research Landscape of Agentic AI and Large Language Models: Applications, Challenges and Future Directions. Algorithms. 2025; 18(8):499. https://doi.org/10.3390/a18080499
  15. D. Javed, N. Z. Jhanjhi, N. A. Khan, S. K. Ray, A. Al-Dhaqm and V. R. Kebande, "Identification of Spambots and Fake Followers on Social Network via Interpretable AI-Based Machine Learning," in IEEE Access, vol. 13, pp. 52246-52259, 2025, doi: 10.1109/ACCESS.2025.3551993.
  16. M. Fahaad Almufareh, N. Zaman Jhanjhi, M. Humayun, G. Naif Alwakid, D. Javed and S. Naif Almuayqil, "Integrating Sentiment Analysis With Machine Learning for Cyberbullying Detection on Social Media," in IEEE Access, vol. 13, pp. 78348-78359, 2025, doi: 10.1109/ACCESS.2025.3558843.
  17. F. Ashfaq, N. Jhanjhi, N. A. Khan, D. Javed, M. Masud and M. Shorfuzzaman, "Enhancing ECG Report Generation With Domain-Specific Tokenization for Improved Medical NLP Accuracy," in IEEE Access, vol. 13, pp. 85493-85506, 2025, doi: 10.1109/ACCESS.2025.3567566.
  18. Alsubaei, F.S., Almazroi, A.A., Atwa, W.S. et al. BERT ensemble based MBR framework for android malware detection. Sci Rep 15, 14027 (2025). https://doi.org/10.1038/s41598-025-98596-7
  19. Saeed S, Jhanjhi NZ, Khan MA and Yadav DK (2025) Editorial: Digital transformation and cybersecurity challenges. Front. Comput. Sci. 7:1631362. doi: 10.3389/fcomp.2025.1631362
  20. Baljinder Singh, Mandeep Kaur, Gurbinder Singh Brar, NZ Jhanjhi, Enhancing stock market predictions for classifying unlabelled celebrities' twitter data, Journal of Open Innovation: Technology, Market, and Complexity, Volume 11, Issue 3, 2025, 100575, https://doi.org/10.1016/j.joitmc.2025.100575. 
  21. Alsubaei, F.S., Almazroi, A.A., Atwa, W.S. et al. Adaptive malware identification via integrated SimCLR and GRU networks. Sci Rep 15, 25309 (2025). https://doi.org/10.1038/s41598-025-08556-4
  22. A. M. Eldhai et al., "Improved Feature Selection and Stream Traffic Classification Based on Machine Learning in Software-Defined Networks," in IEEE Access, vol. 12, pp. 34141-34159, 2024, doi: 10.1109/ACCESS.2024.3370435.
  23. K. S. S. Alshudukhi, F. Ashfaq, N. Z. Jhanjhi and M. Humayun, "Blockchain-Enabled Federated Learning for Longitudinal Emergency Care," in IEEE Access, vol. 12, pp. 137284-137294, 2024, doi: 10.1109/ACCESS.2024.3449550.
  24. F. Al-Quayed, D. Javed, N. Z. Jhanjhi, M. Humayun and T. S. Alnusairi, "A Hybrid Transformer-Based Model for Optimizing Fake News Detection," in IEEE Access, vol. 12, pp. 160822-160834, 2024, doi: 10.1109/ACCESS.2024.3476432.
  25. A. Faisal et al., "Data-Driven Spatial Analysis of Reforestation in Pakistan: Identifying Optimal Locations for Sustainable Forest Growth and Climate Change Mitigation," in IEEE Access, vol. 12, pp. 190375-190388, 2024, doi: 10.1109/ACCESS.2024.3510565.
  26. M. F. Almufareh, N. Jhanjhi, N. A. Khan, S. N. Almuayqil, M. Humayun and D. Javed, "BertSent: Transformer-Based Model for Sentiment Analysis of Penta-Class Tweet Classification," in IEEE Access, vol. 12, pp. 196803-196817, 2024, doi: 10.1109/ACCESS.2024.3515836.
  27. Waqas Ahmad, Ata Ullah,  Sheharyar, N.Z. Jhanjhi, Rania M. Ghoniem, Sarfraz Nawaz Brohi, Bargaining based Design Mechanism for delay sensitive tasks of mobile crowdsensing in IoT, ICT Express, Volume 10, Issue 1, 2024, Pages 111-117, https://doi.org/10.1016/j.icte.2023.07.006. 
  28. Muhammad Arif Mughal, Ata Ullah, Xinbo Yu, Wei He, N.Z. Jhanjhi, Sayan Kumar Ray, A secure and privacy preserved data aggregation scheme in IoMT, in Heliyon, Volume 10, Issue 7, 2024, e27177, https://doi.org/10.1016/j.heliyon.2024.e27177.
  29. Muhammad Arif Mughal, Ata Ullah, Muhammad Awais Zafar Cheema, Xinbo Yu, N.Z. Jhanjhi, An intelligent channel assignment algorithm for cognitive radio networks using a tree-centric approach in IoT, Alexandria Engineering Journal, Volume 91, 2024, Pages 152-160, https://doi.org/10.1016/j.aej.2024.01.071. 
  30. Syed Amir Ali Shah, Ata Ullah, Fazli Subhan, NZ Jhanjhi, Mehedi Masud, Abdulmajeed Alqhatani, Truth discovery for mobile workers in edge-assisted mobile crowdsensing, ICT Express, Volume 10, Issue 5, 2024, Pages 1087-1093, https://doi.org/10.1016/j.icte.2024.06.007. 
  31. Mishra, S., Chaudhury, P., Tripathy, H. K., Sahoo, K. S., Jhanjhi, N., Hassan Elnour, A. A., & Abdelmaboud, A. (2024). Enhancing health care through medical cognitive virtual agents. DIGITAL HEALTH. https://doi.org/10.1177/20552076241256732
  32. Sindhu Rashmi, Vikas Siwach, Harkesh Sehrawat, Gurbinder Singh Brar, Jimmy Singla, N.Z. Jhanjhi, Mehedi Masud, Mohammad Shorfuzzaman, AI-powered VM selection: Amplifying cloud performance with dragonfly algorithm, Heliyon, Volume 10, Issue 19, 2024, e37912, https://doi.org/10.1016/j.heliyon.2024.e37912.
  33. Ninama, H., Raikwal, J., Ravuri, A. et al. Computer vision and deep transfer learning for automatic gauge reading detection. Sci Rep 14, 23019 (2024). https://doi.org/10.1038/s41598-024-71270-0
  34. Ashfaq F, Ghoniem RM, Jhanjhi NZ, Khan NA, Algarni AD. Using Dual Attention BiLSTM to Predict Vehicle Lane Changing Maneuvers on Highway Dataset. Systems. 2023; 11(4):196. https://doi.org/10.3390/systems11040196
  35. Prabakar D, Sundarrajan M, Manikandan R, Jhanjhi NZ, Masud M, Alqhatani A. Energy Analysis-Based Cyber Attack Detection by IoT with Artificial Intelligence in a Sustainable Smart City. Sustainability. 2023; 15(7):6031. https://doi.org/10.3390/su15076031
  36. Behera SR, Panigrahi N, Bhoi SK, Sahoo KS, Jhanjhi NZ, Ghoniem RM. Time Series-Based Edge Resource Prediction and Parallel Optimal Task Allocation in Mobile Edge Computing Environment. Processes. 2023; 11(4):1017. https://doi.org/10.3390/pr11041017
  37. Pal S, Jhanjhi NZ, Abdulbaqi AS, Akila D, Alsubaei FS, Almazroi AA. An Intelligent Task Scheduling Model for Hybrid Internet of Things and Cloud Environment for Big Data Applications. Sustainability. 2023; 15(6):5104. https://doi.org/10.3390/su15065104
  38. Gupta R, Kanungo P, Dagdee N, Madhu G, Sahoo KS, Jhanjhi NZ, Masud M, Almalki NS, AlZain MA. Secured and Privacy-Preserving Multi-Authority Access Control System for Cloud-Based Healthcare Data Sharing. Sensors. 2023; 23(5):2617. https://doi.org/10.3390/s23052617
  39. Razaque A, Frej MBH, Bektemyssova G, Almi’ani M, Amsaad F, Alotaibi A, Jhanjhi NZ, Ali M, Amanzholova S, Alshammari M. Quality of Service Generalization using Parallel Turing Integration Paradigm to Support Machine Learning. Electronics. 2023; 12(5):1129. https://doi.org/10.3390/electronics12051129
  40. Aldughayfiq B, Ashfaq F, Jhanjhi NZ, Humayun M. YOLO-Based Deep Learning Model for Pressure Ulcer Detection and Classification. Healthcare. 2023; 11(9):1222. https://doi.org/10.3390/healthcare11091222
  41. Muhammad Tayyab, Mohsen Marjani, N.Z. Jhanjhi, Ibrahim Abaker Targio Hashem, Raja Sher Afgun Usmani, Faizan Qamar, A comprehensive review on deep learning algorithms: Security and privacy issues, Computers & Security, Volume 131, 2023, 103297, https://doi.org/10.1016/j.cose.2023.103297. 
  42. Ramanjot, Mittal U, Wadhawan A, Singla J, Jhanjhi NZ, Ghoniem RM, Ray SK, Abdelmaboud A. Plant Disease Detection and Classification: A Systematic Literature Review. Sensors. 2023; 23(10):4769. https://doi.org/10.3390/s23104769
  43. Alwakid G, Gouda W, Humayun M, Jhanjhi NZ. Diagnosing Melanomas in Dermoscopy Images Using Deep Learning. Diagnostics. 2023; 13(10):1815. https://doi.org/10.3390/diagnostics13101815
  44. Mushtaq M, Ullah A, Ashraf H, Jhanjhi NZ, Masud M, Alqhatani A, Alnfiai MM. Anonymity Assurance Using Efficient Pseudonym Consumption in Internet of Vehicles. Sensors. 2023; 23(11):5217. https://doi.org/10.3390/s23115217
  45. Jabeen T, Jabeen I, Ashraf H, Jhanjhi NZ, Yassine A, Hossain MS. An Intelligent Healthcare System Using IoT in Wireless Sensor Network. Sensors. 2023; 23(11):5055. https://doi.org/10.3390/s23115055
  46. Aldughayfiq B, Ashfaq F, Jhanjhi NZ, Humayun M. Explainable AI for Retinoblastoma Diagnosis: Interpreting Deep Learning Models with LIME and SHAP. Diagnostics. 2023; 13(11):1932. https://doi.org/10.3390/diagnostics13111932
  47. Aldughayfiq B, Ashfaq F, Jhanjhi NZ, Humayun M. Capturing Semantic Relationships in Electronic Health Records Using Knowledge Graphs: An Implementation Using MIMIC III Dataset and GraphDB. Healthcare. 2023; 11(12):1762. https://doi.org/10.3390/healthcare11121762
  48. Mohit Kumar1 , Priya Mukherjee2 , Sahil Verma3 , Kavita3 , N. Z. Jhanjhi4,*, S. Vimal5 , and Bandar Almutain, A Novel SDN-Based Security Framework for Wireless Sensor Networks Using TDCNN and PGF-ECC, (2023), DOI: https://doi.org/10.22967/HCIS.2023.13.029
  49. Jabeen T, Jabeen I, Ashraf H, Ullah A, Jhanjhi NZ, Ghoniem RM, Ray SK. Smart Wireless Sensor Technology for Healthcare Monitoring System Using Cognitive Radio Networks. Sensors. 2023; 23(13):6104. https://doi.org/10.3390/s23136104
  50. Menon S, Anand D, Kavita, Verma S, Kaur M, Jhanjhi NZ, Ghoniem RM, Ray SK. Blockchain and Machine Learning Inspired Secure Smart Home Communication Network. Sensors. 2023; 23(13):6132. https://doi.org/10.3390/s23136132
  51. Aldughayfiq B, Ashfaq F, Jhanjhi NZ, Humayun M. YOLOv5-FPN: A Robust Framework for Multi-Sized Cell Counting in Fluorescence Images. Diagnostics. 2023; 13(13):2280. https://doi.org/10.3390/diagnostics13132280
  52. Aldughayfiq B, Ashfaq F, Jhanjhi NZ, Humayun M. A Deep Learning Approach for Atrial Fibrillation Classification Using Multi-Feature Time Series Data from ECG and PPG. Diagnostics. 2023; 13(14):2442. https://doi.org/10.3390/diagnostics13142442
  53. Alourani, Abdullah, Ashfaq, Farzeen, Jhanjhi, N. Z., Ali Khan, Navid, BiLSTM- and GNN-Based Spatiotemporal Traffic Flow Forecasting with Correlated Weather Data, Journal of Advanced Transportation, 2023, 8962283, 17 pages, 2023. https://doi.org/10.1155/2023/8962283
  54. Zerdoumi S, Jhanjhi N, Ariyaluran Habeeb RA, Hashem IAT. 2023. A deep learning based approach for extracting Arabic handwriting: applied calligraphy and old cursive. PeerJ Computer Science 9:e1465 https://doi.org/10.7717/peerj-cs.1465
  55. Wassan, S., Dongyan, H., Suhail, B., Jhanjhi, N. Z., Xiao, G., Ahmed, S., & Murugesan, R. K. (2023). Deep convolutional neural network and IoT technology for healthcare. DIGITAL HEALTH. https://doi.org/10.1177/20552076231220123
  56. Rout NK, Parida N, Rout RK, Sahoo KS, Jhanjhi NZ, Masud M, AlZain MA. Analysis of Breath-Holding Capacity for Improving Efficiency of COPD Severity-Detection Using Deep Transfer Learning. Applied Sciences. 2023; 13(1):507. https://doi.org/10.3390/app13010507
  57. N. Kaur et al., "Enhanced QoS-Aware Routing Protocol for Delay Sensitive Data in Wireless Body Area Networks," in IEEE Access, vol. 11, pp. 106000-106012, 2023, doi: 10.1109/ACCESS.2023.3311756
  58. T. Singh, A. Solanki, S. K. Sharma, N. Z. Jhanjhi and R. M. Ghoniem, "Grey Wolf Optimization-Based CNN-LSTM Network for the Prediction of Energy Consumption in Smart Home Environment," in IEEE Access, vol. 11, pp. 114917-114935, 2023, doi: 10.1109/ACCESS.2023.3311751
  59. A 3D intensity imaging for stainless histopathology, Jie Li, Weiwei Goh, N.Z. Jhanjhi and Bowen Li, ITM Web Conf., 83 (2026) 01006, DOI: https://doi.org/10.1051/itmconf/20268301006
  60. R. Kanwal, Q. U. A. Z. Z. Mirza, H. Ashraf, N. Jhanjhi and T. Dewi, "A Hybrid Stylometric and Transformer-Based Framework for Detecting AI-Generated Text," 2026 IEEE 2nd International Conference on Secure IoT, Assured and Trusted Computing (SATC), Houston, TX, USA, 2026, pp. 1-8, doi: 10.1109/SATC69565.2026.11542512.
  61. Q. U. A. Z. Z. Mirza, H. Ashraf, R. Kanwal, N. Jhanjhi and Hermanto, "An Improved SMS Security Technique to Avoid Plaintext and Dictionary Attacks," 2026 IEEE 2nd International Conference on Secure IoT, Assured and Trusted Computing (SATC), Houston, TX, USA, 2026, pp. 1-12, doi: 10.1109/SATC69565.2026.11542348.
  62. Q. U. A. Z. Z. Mirza, R. Kanwal, H. Ashraf, N. Jhanjhi and P. Narputro, "AI-Enabled Thermal Security System for Weapon Identification in Adverse Visibility," 2026 IEEE 2nd International Conference on Secure IoT, Assured and Trusted Computing (SATC), Houston, TX, USA, 2026, pp. 1-7, doi: 10.1109/SATC69565.2026.11542409.
  63. Q. U. A. Z. Z. Mirza, R. Kanwal, H. Ashraf, N. Jhanjhi and A. Reza, "Voice- and Text-Based Tasking for Swarm Robotics: A Leader-Centric Coordination Framework," 2026 IEEE 2nd International Conference on Secure IoT, Assured and Trusted Computing (SATC), Houston, TX, USA, 2026, pp. 1-15, doi: 10.1109/SATC69565.2026.11542234.
  64. U. Ihsan, N. Jhanjhi, H. Ashraf, J. Malik and D. Sukmawan, "A BART-Enhanced Hybrid Framework for Multi-Document Summarization," 2026 IEEE 2nd International Conference on Secure IoT, Assured and Trusted Computing (SATC), Houston, TX, USA, 2026, pp. 1-10, doi: 10.1109/SATC69565.2026.11542559.
  65. J. Malik, H. Ashraf, N. Jhanjhi, U. Ihsan and F. Sembiring, "A Hybrid PQC-Enabled Attribute and Data Encryption Pipeline for Next-Generation Metaverse Platforms," 2026 IEEE 2nd International Conference on Secure IoT, Assured and Trusted Computing (SATC), Houston, TX, USA, 2026, pp. 1-9, doi: 10.1109/SATC69565.2026.11542537.
  66. Gaur, L. & Jhanjhi, N. Z. (Eds.). (2023). Digital Twins and Healthcare: Trends, Techniques, and Challenges. IGI Global Scientific Publishing. https://doi.org/10.4018/978-1-6684-5925-6
  67. Jhanjhi, N. Z. (Ed.). (2025). Reshaping CyberSecurity With Generative AI Techniques. IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3693-5415-5
  68. Shah, I. A. & Jhanjhi, N. Z. (Eds.). (2027). Challenges and Solutions of Using Quantum Security Frameworks for IoT Devices. IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3373-3857-6
  69. Rajper, S., Jhanjhi, N. Z., & Shar, A. A. (Eds.). (2027). Deep Learning for Engagement and Cognitive Growth in E-Learning. IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3373-6581-7
  70. Ponnusamy, V., Jhanjhi, N. Z., & Adnan, K. (Eds.). (2026). Gamification Learning Framework for Cybersecurity Education. IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3373-0477-9
  71. Ponnusamy, V. & Jhanjhi, N. Z. (Eds.). (2026). Agentic AI for Autonomous Vehicles: Safety, Reliability, Law, and Ethics. IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3373-7355-3
  72. Shah, I. A. & Jhanjhi, N. Z. (Eds.). (2025). Generative AI for Web Engineering Models. IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3693-3703-5
  73. Shah, I. A. & Jhanjhi, N. Z. (Eds.). (2025). Navigating Cyber Threats and Cybersecurity in the Software Industry. IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3693-6250-1
  74. Ali Shah, I. & Jhanjhi, N. Z. (Eds.). (2025). Computer Vision and Edge Computing Technologies for the Drone Industry. IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3693-8497-8
  75. Jhanjhi, N. Z. (Ed.). (2025). AI Techniques for Securing Medical and Business Practices. IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3693-8939-3
  76. Jhanjhi, N. Z. (Ed.). (2025). Utilizing Generative AI for Cyber Defense Strategies. IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3693-8944-7
  77. Jhanjhi, N. Z. & Shah, I. A. (Eds.). (2024). Cybersecurity Measures for Logistics Industry Framework. IGI Global Scientific Publishing. https://doi.org/10.4018/978-1-6684-7625-3
  78. Gaur, L. & Jhanjhi, N. Z. (Eds.). (2024). Metaverse Applications for Intelligent Healthcare. IGI Global Scientific Publishing. https://doi.org/10.4018/978-1-6684-9823-1
  79. Shah, I. A. & Jhanjhi, N. Z. (Eds.). (2024). Cybersecurity Issues and Challenges in the Drone Industry. IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3693-0774-8

Achievements & Accolades

  1. Top 2% Scientist Globally: Ranked consistently among the world's top 2% of research scientists by Stanford University.
  2. Top Researcher in Malaysia: Ranked among the top one computer science researcher in Malaysia.
  3. Vice Chancellor's Award: Received the Best Research Citations / Most Cited Researcher Award from Taylor's University.
  4. Outstanding Faculty Member: Awarded this prestigious accolade by the Malaysia Digital Economy Corporation (MDEC).
  5. Top 1% Global Reviewer: Honored as a top 1% global reviewer by Publons (Web of Science).
  6. Keynote Speaker: Delivered over 100+ invited talks and keynote addresses at international conferences worldwide.
  7. University Merit Scholarship during Master’s.

Professional Associations

  • IEEE
  • ACM
ICACTE 2026