Published research articles and academic papers
Publications
IT project management faces critical challenges related to inaccurate resource allocation estimation and project risk assessment. This study proposes a hybrid machine learning-based decision support framework that integrates Gradient Boosting, Artificial Neural Networks, and Naive Bayes classifier to produce calibrated probabilistic predictions.
This study conducts a comparative analysis of four reuse service approaches within SOA framework: API & Service Standardization, Microservices Architecture, API-First Development, and Enterprise Service Bus (ESB).
This research proposes an object detection system using COCO-SSD model that can run in web browsers. The system achieves good accuracy (mAP 0.75) and high speed (30 FPS) without additional installation.
Research Focus
Predictive modeling for project risk assessment and resource allocation optimization using hybrid ML approaches.
Service-Oriented Architecture (SOA) and microservices for efficient IT project implementation.
Object detection using deep learning models deployed in web browsers with TensorFlow.js.
Integrating AI capabilities into product roadmaps and leveraging machine learning for enhanced user experiences and business outcomes.
Agile methodologies, sprint planning, and cross-functional team leadership to deliver projects on time and within budget.
User research, customer interviews, and market analysis to validate product ideas and ensure product-market fit.