Research Area 

Area of Interest

• Big Data
  Big Data enables the collection and analysis of massive datasets from diverse sources. Using AI and ML algorithms, hidden patterns, trends, and insights can be extracted to support smarter decision-making across industries such as healthcare, agriculture, and finance.

• Deep Learning
  Deep Learning, a subset of ML, leverages neural networks to mimic human intelligence in processing complex data such as images, speech, and sensor signals. It empowers applications like medical image analysis, precision farming, and predictive maintenance in IoT systems.

• Machine Learning
  Machine Learning focuses on building algorithms that learn from data to make predictions and decisions. Integrated with IoT devices, ML drives adaptive systems in real-time for areas like smart agriculture, digital health monitoring, and industrial automation.

• Digital Health
  Digital Health combines AI, ML, and IoT to improve patient care through real-time monitoring, disease prediction, and personalized treatment. It enables smart healthcare solutions such as wearable-based diagnostics and AI-powered decision support systems.

• Smart Agriculture
  Smart Agriculture applies IoT sensors, AI-driven analytics, and ML-based predictions to optimize crop yields, soil health, and water management. Deep learning models also aid in plant disease detection and precision farming, ensuring sustainable agricultural practices.

• Computational Technology
  Computational Technology advances AI, ML, and Deep Learning applications by providing high-performance computing for data-intensive tasks. It supports the integration of IoT ecosystems and accelerates innovations across domains like digital health and smart farming.

• Computer Vision

Computer Vision empowers machines to interpret and analyze visual information from images and videos. Leveraging AI and Deep Learning, it enables applications such as disease diagnosis in healthcare, crop monitoring in agriculture, smart surveillance, and autonomous systems within IoT-driven environments. 

Professional Membership:

¨     Senior Member IEEE (SMIEEE)- 93617078

¨     Professional Member ACM- 5190776

Reviewer & Editorial Member:

¨     Reviewer for Big Data Research

¨      Reviewer for Data & Knowledge Engineering

¨      Reviewer for Journal of Open Innovation: Technology, Market, and Complexity

¨      Reviewer for Information Fusion 

¨     Reviewer for  Expert System with Application 

¨      Reviewer for Engineering Application of Artificial Intelligence 

¨      Reviewer for ISA Transactions 

¨     Reviewer for  IEEE Access 

¨     Reviewer for  SN Computer Science 

¨      Reviewer for JDMSC 

¨      Reviewer for MDPI (Sensors)

¨      Reviewer for MDPI (Journal of Clinical Medicine)

¨    Reviewer for  MDPI (Applied Sciences)

¨     Reviewer for Sustainability.

¨     Reviewer for Mathematics.

¨     Reviewer for Journal of open innovation.

¨     Reviewer for Journal of clinical medicine.

¨     Reviewer activity for BMJ open.

¨     Reviewer activity for Applied sciences.