Research & Scholarly Publications
Explore journal papers, conference papers, book chapters, technical reports and working papers focusing on data science, machine learning, digital transformation, strategic planning and institutional development.
10
Total Publications
6
Journal Papers
1
Conference Papers
125
Total Citations
3/1
Research Impact
An Optimized Machine Learning Model for Poverty Detection Using a Multidimensional Data-Driven Approach
, pp. 290
Accurate and dynamic poverty detection remains a major challenge where conventional approaches rely on static classifiers and...
Data-driven Approach for Selection of an Ensemble Model of Profane Words Detection in Social Media
, pp. 1-5
This conference paper presents a data-driven ensemble approach for detecting profane language in social media platforms. The...
Liquidizer.js: A Responsive Web Design Algorithm
This paper presents Liquidizer.js, an enhanced Responsive Web Design (RWD) algorithm developed to simplify the creation of re...
Modeling of a Multidimensional Data-Driven Approach (MDDA) for Optimized ML Model in Poverty Detection
This paper introduces the Multidimensional Data-Driven Approach (MDDA), an optimized machine learning framework for poverty d...
Multimedia Databases: Performance Measure Benchmarking Model (PMBM) Framework
Vol. 6 (6) , pp. 49-58
This paper presents the Performance Measure Benchmarking Model (PMBM) Framework for evaluating multimedia databases using Con...
Literature Survey: Data-driven Approach for Selection of an Ensemble Model of Profane Words Detection in Social Media
This paper presents a literature survey on data-driven approaches for selecting an ensemble model for detecting profane words...
An Enhanced Approach to Responsive Web Design in Fluid Grid Concept
This research presents an enhanced approach to Responsive Web Design (RWD) by addressing limitations associated with traditio...
A Literature Survey of Image Descriptors in Content Based Image Retrieval
Vol. 7 (3) , pp. 919-929
This paper presents a literature survey on image descriptors in Content Based Image Retrieval (CBIR). It explores how image d...
Optimized Machine Learning Models for Poverty Detection: A Scientific Review of Multidimensional Approaches
, pp. 1081-1090
This paper presents an optimized machine learning framework for multidimensional poverty detection by integrating empirical v...
Responsive Web Design in Fluid Grid Concept Literature Survey
Vol. 3 (7)
This paper presents a literature survey on Responsive Web Design, with specific focus on the fluid grid concept. It examines...
Research Focus Areas
My research integrates information technology, management science, artificial intelligence and data-driven decision making to solve complex organizational and societal challenges.
Artificial Intelligence
Machine Learning, Deep Learning, Predictive Analytics, Explainable AI and Intelligent Decision Support Systems.
Data Science
Data Mining, Big Data Analytics, Business Intelligence, Dashboards and Data Visualization.
Strategic Management
Strategic Planning, Organizational Performance, Monitoring & Evaluation and Institutional Development.
Digital Transformation
ICT Strategy, e-Government, Digital Innovation and Technology Adoption.
Poverty Analytics
Multidimensional Poverty Measurement, Socio-economic Analytics and Policy Intelligence.
Information Systems
Web Technologies, Database Systems, Information Security and ICT Governance.
Research Impact
125
Total Citations
3
H-index
1
i10-index
6
Published in
International Journals
AI • Data Science • Poverty Analytics • Digital Transformation
Research Areas
Research Journey
Responsive Web Technologies
Published research on responsive web design, fluid grid concepts and adaptive web interfaces.
Multimedia Databases & Computer Vision
Expanded research into Content-Based Image Retrieval, multimedia databases and intelligent information retrieval.
Artificial Intelligence
Published an IEEE conference paper on ensemble machine learning for intelligent profanity detection using data-driven techniques.
PhD Research
Completed doctoral research on an optimized machine learning model for poverty detection using a multidimensional data-driven approach (MDDA).
AI for Sustainable Development
Current research connects Explainable AI, poverty analytics, digital transformation, data science, decision support systems and strategic management.
Research Collaboration
I welcome collaborations with universities, government institutions, development partners, NGOs, researchers and industry on multidisciplinary research, consultancy assignments, grant-funded projects, journal publications, conference papers, supervision and innovation initiatives.