Research
My academic and industry research focuses on distributed systems, machine learning, and human-computer interaction. I'm passionate about solving complex technical challenges and contributing to the advancement of computer science.
Featured Research
Performance and Scalability Assessment of Cloud Computing for Data Workloads
Explored the use of cloud computing technologies for scalable data storage, processing, and analysis. The project focused on evaluating various cloud platforms and architectures to handle large-scale datasets efficiently. Emphasis was placed on identifying methods to assess performance, cost-effectiveness, and scalability across different cloud service models, providing insights into optimal cloud deployment strategies for data-intensive applications.
Technologies:
Machine Learning Applications in Healthcare Diagnostics
Investigated the application of deep learning models for early detection of diabetes using patient health records. Developed a CNN-based approach that achieved 94% accuracy in identifying diabetic conditions, enabling proactive healthcare interventions.
Technologies:
Research Interests
Areas of focus and ongoing exploration
All Research Projects
Performance and Scalability Assessment of Cloud Computing for Data Workloads
Master's Thesis • Cardiff University
Explored the use of cloud computing technologies for scalable data storage, processing, and analysis. The project focused on evaluating various cloud platforms and architectures to handle large-scale datasets efficiently. Emphasis was placed on identifying methods to assess performance, cost-effectiveness, and scalability across different cloud service models, providing insights into optimal cloud deployment strategies for data-intensive applications.
Collaborators
Technologies Used
Machine Learning Applications in Healthcare Diagnostics
Research Project • Don Bosco University
Investigated the application of deep learning models for early detection of diabetes using patient health records. Developed a CNN-based approach that achieved 94% accuracy in identifying diabetic conditions, enabling proactive healthcare interventions.
Collaborators
Technologies Used
Research Philosophy
I believe that the best research emerges from the intersection of theoretical rigor and practical application. My approach focuses on identifying real-world problems and developing solutions that are both academically sound and industrially viable.
I'm particularly interested in research that bridges the gap between academia and industry, and I actively seek collaborations that can translate research findings into tangible benefits for society. Whether it's improving healthcare through AI, making distributed systems more reliable, or enhancing human-computer interaction, I'm driven by the potential for technology to solve meaningful problems.
I'm always open to discussing research opportunities, collaborations, or simply sharing ideas about the future of technology. If you're working on something interesting or have questions about any of my research, please don't hesitate to reach out.