Mohamed Uvaze Ahamed Ayoobkhan currently working as Assistant Professor in Software Engineering Department, New Uzbekistan University, Tashkent, Uzbekistan. Area of research in Human-computer Interaction, Artificial Neural Network and Machine Learning.
EDUCATION
Bachelor of Engineering (CSE) - Anna University, India,
Master of Engineering (CSE) - Anna University, India,
Doctor of Philosophy (IT) - Multimedia University, Malaysia
RESEARCH INTERESTS
Machine Learning, Optimization, Medical Image Processing
The Role of AI in Enhancing Customer Experience through Personalized Marketing Ibrohim Abdivokhidov, Mohamed Uvaze Ahamed Ayoobkhan, Jasmine Hashana Recent Advancements in Computational Intelligence Concepts Methodologies and Applications Part 2, 2026 The evolution of marketing strategies has transitioned from traditional approaches to more advanced personalized marketing, driven by the capabilities of artificial intelligence (AI). Traditional marketing methods, such as print advertising, billboards, and broadcast media, provide broad reach but face challenges in targeting precision and interactivity. This chapter analyzes the solution as an integration of AI technologies in augmenting personalized marketing through the direct application of Machine Learning (ML) algorithms. The paper will demonstrate how personalized marketing is implemented with the use of AI and how this integration resolves issues related to generic marketing approaches and limitations of traditional customer engagement methods. Beyond the general characteristics of personalized marketing, several major types that can be implemented with the help of AI will be explained, and the benefits of such, including achieving deeper customer engagement, driving conversions through precise targeting, and fostering loyalty with AI-powered personalization, are going to be discussed. Most importantly, the optimal design principles of AI-driven marketing strategies and the tactics for their execution, as well as the suggested ethical considerations and data privacy measures within personalized marketing environments, will be covered in further sections. For example, a key study by McKinsey & Company highlights that personalized marketing is no longer just a trend, but a crucial strategy for businesses, with 58% of surveyed individuals willing to pay a premium for tailored products and services. The conclusion of the paper underlines future trends and considerations about the possibilities and advancements in the AI sphere and its integration with personalized marketing. The information provided throughout the paper will help to go beyond the limitations of traditional marketing by increasing the effectiveness and customization of marketing efforts through the opportunities presented by AI technologies in the scope of different business sectors.
Intrusion detection system in a software- defined network Mohamed Uvaze Ahamed Ayoobkhan, Subair Ali Liayakath Ali Khan, Aneesh Pradeep, M. Manikandakumar, P. Karthikeyan Improving Threat Detection Network Security and Incident Response with AI, 2025 Software Defined Network (SDN) provides a solution to traditional network architecture's drawbacks, where closed equipment like switches and routers have tightly coupled hardware and software. SDN allows the creation of virtual networks controlled by software, providing benefits like rapid topology creation, enhanced security and performance isolation for different traffic types. It offers networking and management opportunities with programmability and flexibility by operating on a centralized control plane, separating data and control planes. The centralized controller, directs information flow through the interfaces to network elements. Despite advantages, SDN faces security threats like DoS attacks and intrusions. One of SDN's most promising aspects is its potential to enhance network security through Intrusion Detection Systems (IDS). IDS integration within SDN enables effective threat detection to safeguard devices and data. The chapter briefly outlines IDS implementation in SDN and demonstrates SDN's capacity to revolutionize modern network management and security.
Hybrid Elephant Herding Optimization Approach for Cluster Head Selection and Secure Data Transmission in WSN Using Hybrid Approach Cryptography Techniques Yuvaraja M., Sumathi D., M. Rajeshkumar, Mohamed Uvaze Ahamed Ayoobkhan Data and Metadata, 2024 Introduction: The wireless nature of sensor networks makes safe transfer of data from one node to another a major challenge in communications. Sensing tasks connect these sensor nodes which have limitations of memories and energies. Cryptography techniques are utilised to handle critical issues of security in these networks. The performance of large-scale networks is enhanced in this case by optimisation algorithm mimicking natural behaviours.Methods: This work uses H-EHO (Hybrid Elephant Herding Optimisation technique based on Individual strategies to enhance cluster head selections in WSNs (Wireless Sensor Networks) and thus extend networks’ lifetime. WSNs complete cluster head selection processes, and proposed optimisation approach which selects cluster heads based on tracking of sensor nodes for enhancements. The clan operators of optimisation algorithms are adjusted to handle random walk scale factors of elephants. Clusters of WSNs elect updated sensor nodes in principle. Hybrid algorithm HSR19, a novel security symmetric technique offers greater security during data transfers. It offers integrity, confidentiality, and authentication for cryptographic primary keys. Results: The output of the simulation demonstrates the energy consumption, network longevity, end to end delay, and secure data transfer metrics. The results for choosing an effective and time-efficient cluster head selection process for WSNs are improved by contrasting the two approaches. Conclusion: This comparison also shows the efficiency of communication devices in terms of calculation times for encoding, decoding and energies consumed for various file sizes
Multi-Class Classification of Skin Cancer Using Hybrid Inception-Residual Network International Journal of Intelligent Systems and Applications in Engineering, 2024
Drowsy Driving Detection System Using Face Detection Ismoiljon Mirabdullayev, Mohamed Uvaze Ahamed Ayoobkhan, A.M. Jasmine Hashana, Liayakath Ali Khan Subair Ali Proceedings International Conference on Technological Advancements in Computational Sciences Ictacs 2023, 2023
Deep Learning in ChatGPT - A Survey A.M. Jasmine Hashana, P. Brundha, Mohamed Uvaze Ahamed Ayoobkhan, Fazila S 7th International Conference on Trends in Electronics and Informatics Icoei 2023 Proceedings, 2023
IMPLYING FUZZY SET FOR COMPUTING AGRICULTURAL VULNERABILITY Research Notes on Computing and Communication Sciences Applied Soft Computing Techniques and Applications, 2022
A comprehensive review of robotics and deep learning applications during the COVID-19 pandemic S Rooban, MUA Ayoobkhan, MRKM Samy Biomedical Signal Processing and Control 117, 109459 , 2026 2026
Energy-efficient multi-agent hybrid GNN-XGBoost framework for IoT-enabled smart grid management with blockchain-secured urban energy sustainability GV Shrichandran, K Indhumathi, S Ahmad, T Alsubait, E Alabdulkreem, ... Sustainable Computing: Informatics and Systems, 101338 , 2026 2026
The Role of AI in Enhancing Customer Experience through Personalized Marketing I Abdivokhidov, MUA Ayoobkhan, J Hashana Recent Advancements in Computational Intelligence: Concepts, Methodologies … , 2026 2026
Intrusion Detection System in a Software-Defined Network MUA Ayoobkhan, SALA Khan, A Pradeep, M Manikandakumar, ... Improving Threat Detection, Network Security, and Incident Response With AI … , 2026 2026
Transformative Pedagogy: Collaborative Learning with Cloud Architecture and Virtual Programming Labs Z Usmonova, MUA Ayoobkhan Cloud Computing for Smart Education and Collaborative Learning, 105-122 , 2025 2025 Citations: 1
Optimized attention-induced multihead convolutional neural network with efficientnetv2-fostered melanoma classification using dermoscopic images M Maheswari, MU Ahamed Ayoobkhan, CP Shirley, TRV Lakshmi Medical & Biological Engineering & Computing 62 (11), 3311-3325 , 2024 2024 Citations: 5
Ensemble Embedding and Convolutional Neural Network-Based Big Data Framework for Structure Prediction of Proteins LD Xavier, R Thirunavukarasu, R Nagarajan, MUA Ayoobkhan Intelligent Systems and Sustainable Computational Models, 308-320 , 2024 2024
Machine learning-based renewable energy systems fault mitigation and economic assessment S Ghyasuddin Hashmi, V Balaji, MU Ahamed Ayoobkhan, ... Electric Power Components and Systems, 1-24 , 2024 2024 Citations: 11
Enhancing Energy Efficiency and Classification Modeling Through a Combined Approach of LightGBM and Stratified KFold Cross-Validation S Kakkar, AJ Lakshmi, AD Durai C, W Ahmad, MUA Ayoobkhan, ... Electric Power Components and Systems , 2024 2024 Citations: 20
Machine Learning Based Image Classification with COREL 1K Dataset I Abdivokhidov, MUA Ayoobkhan Proceedings of the International Conference on Sustainability: Developments … , 2024 2024 Citations: 1
Anand Deva Durai C, Wakeel Ahmad, Mohamed Uvaze Ahamed Ayoobkhan, P. Veeramanikandan, P. Nagasekhar Reddy, Vijay Kumar Dwivedi, and A. Rajaram,“Enhancing Energy Efficiency and … S Kakkar, AJ Lakshmi Electric Power Components and Systems, 1-19 , 2024 2024 Citations: 2
Mitigation of Risks Adhering to the Psychology on Digital Transactions M Uvaze Ahamed Ayoobkhan, L R Flaih, S Awadh Baha al_Deen The International Journal of Emerging Technologies in Research Trends … , 2024 2024
Analysis of Malware Detection in Downloaded Files Based on CNN-SVM-RBF Approach VRP Mohamed Uvaze Ahamed Ayoobkhan,Thammisetty Swetha,Neerav Nishant,Rashmi ... Tuijin Jishu/Journal of Propulsion Technology 45 (2), 6987 - 6996 , 2024 2024
Hybrid Elephant Herding Optimization Approach for Cluster Head Selection And Secure Data Transmission In Wsn Using Hybrid Approach Cryptography Techniques M Rajeshkumar, AMU AHAMED DATA & METADATA Учредители: Salud, Ciencia y Tecnologia 3 , 2024 2024
Multi-Class Classification of Skin Cancer Using Hybrid Inception-Residual Network AMU Ahamed, VR Yella, PV Krishna, M Subramanian, AK Dey, ... International Journal of Intelligent Systems and Applications in Engineering … , 2024 2024
Drowsy Driving Detection System Using Face Detection I Mirabdullayev, MUA Ayoobkhan, AMJ Hashana, LAKS Ali 2023 3rd International Conference on Technological Advancements in … , 2023 2023 Citations: 4
Camera system for subject identification VKSCNS Sultanuddin Sayed Jamaluddin., Sebastian George., Ayoobkhan, Mohamed ... GB Patent 6,291,777 , 2023 2023
Deep learning in ChatGPT-A survey AMJ Hashana, P Brundha, MUA Ayoobkhan 2023 7th international conference on trends in electronics and informatics … , 2023 2023 Citations: 42
MOST CITED SCHOLAR PUBLICATIONS
Deep learning model for deep fake face recognition and detection ST Suganthi, MUA Ayoobkhan, N Bacanin, K Venkatachalam, H Štěpán, ... PeerJ Computer Science 8, e881 , 2022 2022 Citations: 155
Lossy image compression based on prediction error and vector quantisation MUA Ayoobkhan, E Chikkannan, K Ramakrishnan EURASIP Journal on Image and Video Processing 2017 (1), 35 , 2017 2017 Citations: 74
Deep learning in ChatGPT-A survey AMJ Hashana, P Brundha, MUA Ayoobkhan 2023 7th international conference on trends in electronics and informatics … , 2023 2023 Citations: 42
Feed-forward neural network-based predictive image coding for medical image compression MUA Ayoobkhan, E Chikkannan, K Ramakrishnan Arabian Journal for Science and Engineering 43 (8), 4239-4247 , 2018 2018 Citations: 41
Prediction-based lossless image compression MUA Ayoobkhan, E Chikkannan, K Ramakrishnan, SB Balasubramanian International Conference on ISMAC in Computational Vision and Bio … , 2018 2018 Citations: 35
CBIR System based on Prediction Errors AMU AHAMED, C ESWARAN, R KANNAN Journal of Information Science and Engineering 33 (2), 347-365 , 2017 2017 Citations: 30
Enhancing Energy Efficiency and Classification Modeling Through a Combined Approach of LightGBM and Stratified KFold Cross-Validation S Kakkar, AJ Lakshmi, AD Durai C, W Ahmad, MUA Ayoobkhan, ... Electric Power Components and Systems , 2024 2024 Citations: 20
An efficient lion optimization based cluster formation and energy management in WSN based IoT D Yuvaraj, M Sivaram, A Mohamed Uvaze Ahamed, S Nageswari International Conference on Intelligent Computing & Optimization, 591-607 , 2019 2019 Citations: 20
Web page recommendation system by integrating ontology and stemming algorithm MUA Ayoobkhan, LAKS Ali international journal of advances in signal and image sciences 8 (1), 9-16 , 2022 2022 Citations: 19
Biometric Security and Performance Metrics: FAR, FER, CER, FRR M Sivaram, MUA A, D Yuvaraj, G Megala, V Porkodi, M Kandasamy 2019 International Conference on Computational Intelligence and Knowledge … , 2019 2019 Citations: 19
Classification and segmentation of mitotic cells using ant colony algorithm and tnm classifier RG Vidhya, TS Sasikala, AMU Ahamed, SALA Khan, K Singh, M Saratha 2022 International Conference on Augmented Intelligence and Sustainable … , 2022 2022 Citations: 17
Medical image enhancement in health care applications using modified sun flower optimization SN Krishnan, D Yuvaraj, K Banerjee, PJ Josephson, TCHA Kumar, ... Optik 271, 170051 , 2022 2022 Citations: 14
Lossy Image Compression based on Vector Quantization using Artificial Bee Colony and Genetic Algorithms RK A.Mohamed Uvaze Ahamed, C. Eswaran Advanced Science Letters 24 (2), 1134-1137 , 2018 2018 Citations: 13
Some investigation on DDOS attack models in mobile networks D Yuvaraj, M Sivaram, S Nageswari International Association of Online Engineering , 2019 2019 Citations: 12
Machine learning-based renewable energy systems fault mitigation and economic assessment S Ghyasuddin Hashmi, V Balaji, MU Ahamed Ayoobkhan, ... Electric Power Components and Systems, 1-24 , 2024 2024 Citations: 11
Smart connected digital products and IoT platform with the digital twin MUA Ayoobkhan, D Yuvaraj, A Jayanthiladevi, B Easwaran, ... Research advancements in smart technology, optimization, and renewable … , 2021 2021 Citations: 10
Hybrid Method for Moving Object Exploration in Video Surveillance RSB Krishna, MUA A, B Bharathi, B Ankayarkanni 2019 International Conference on Computational Intelligence and Knowledge … , 2019 2019 Citations: 10
An Automated Grading System for Diabetic Retinopathy using Curvelet Transform and Hierarchical Classification FA Mukti, C Eswaran, N Hashim, HC Ching, MUA Ayoobkhan International Journal of Engineering & Technology (UAE) 7 (2), 154-157 , 2018 2018 Citations: 10
On the effectiveness of deep transfer learning for bangladeshi meat based curry image classification M Rahman, S Rahman, MUA Ayoobkhan 2022 International Conference on Innovations in Science, Engineering and … , 2022 2022 Citations: 9
Fine-tuned convolutional neural networks for bangladeshi vehicle classification M Rahman, S Rahman, MUA Ayoobkhan 2022 International Conference on Innovations in Science, Engineering and … , 2022 2022 Citations: 8
