Abdul Sajid Mohammed
Research areas: Computer Science · Information Systems · Cloud Computing and Resource Management · Artificial Intelligence in Healthcare · Artificial Intelligence in Healthcare and Education
0009-0005-3703-4225
About
Dr. Abdul Sajid Mohammed is a Senior Engineer and a Cloud Solutions expert leading critical role at Microsoft Corporation, contributing his skills and knowledge to one of the world’s foremost prominent software technologies development organizations globally. In his role, he actively engages in shaping and implementing innovative cloud solutions, showcasing his expertise in the dynamic field of technology. In addition, he is an esteemed Research scholar boasting over 12+ years of expertise where he has accomplished many demanding targets, and led and executed many multi-million-dollar business-critical projects for some distinguished companies. in the domains of AI Machine Learning, Big Data, Healthcare, and Cloud Computing. Mohammed has also earned a Ph.D. in Information Technology from The University of The Cumberlands, with a specialized focus on Artificial Intelligence-induced Machine Learning models and Big Data Analytics.
He is recognized for his composed demeanor and strategic thinking, rendering him an invaluable team player. He actively mentors and coaches individuals in the fields of Cloud Computing, AI and Machine Learning, and Kubernetes through various writing activities, speaking engagements, blog posts, and dedicated discussion platforms catering to professionals in these domains. His enthusiasm for exploring and experimenting with these technologies is evident, and he takes pleasure in disseminating his insights and experiences within the community.
His collaborative efforts, esteemed by his peers, Abdul is renowned for his adept problem-solving skills and an outstanding work style, exemplifying the seamless integration of technology and healthcare for the advancement of research and solutions.
Employment
Employment history is unavailable.
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (24)
- Unveiling Bias in AI-Powered Recommender Systems: An Ethical and Algorithmic Survey Save
- Breast cancer ultrasound image segmentation using improved 3DUnet++ Save
- Designing an AES-Enhanced Framework for Secure and Efficient Data Transmission in Multi-Cloud Environments Save
- Leveraging Ant Colony Optimization for Adaptive Load Balancing in Cloud Computing Environments Save
- Enhancing Resource Scheduling Efficiency in Cloud Data Centers Through Hybrid Optimization Techniques Save
- <span>Proactive CRM: Predicting Customer Behavior And Churn Using Machine Learning Models</span> Save
- IJGIS July 2024 Save
- Examining Factors Influencing the Acceptance of Big Data Analytics in Healthcare Save
- An Analysis of Security Protocols for Cloud Computing Algorithms in Mobile Ad Hoc Networks Save
- Network Intrusion Detection in Cloud Computing Environments Save
- IJGIS July 2024 Save
- Dynamic Scheduling Algorithms for Serverless Computing Solutions in the Cloud Save
- Exploring the Quality of Service Impacts of Cloud Computing over Wireless Networks Save
- Face Mask Vending Machine Save
- AI-Driven Continuous Integration and Continuous Deployment in Software Engineering Save
- Examine the Role of Generative AI in Enhancing Threat Intelligence and Cyber Security Measures Save
- Investigate the Role of Machine Learning in Optimizing Dynamic Scaling Strategies for Cloud-Based Applications Save
- An Improved Lung Cancer Prediction Algorithm using Generative Adversarial Network in Modern Healthcare Save
- The Smart Performance Comparison of AI-based Breast Cancer Detection Models Save
- The Smart deep learning based Model for Early Detection and Diagnosis of Melanoma Save