Academic PROFILE

Lilian Marco

Master's Student and Research Scholar

Department of Computer and Information Engineering, Daegu University, South Korea
FICLab View Research Email Me

About Me

I am a Computer Science graduate and a current master's student in Computer and Information Engineering at Daegu University, South Korea. I work as a research scholar at FICLab, where I contribute to research involving machine learning, deep learning, human-computer interaction, computer vision, intelligent manufacturing, data analytics, and human-centred computing. My academic goal is to develop practical intelligent systems that address real-world social, industrial, and public-health challenges.


Education

Master of Computer and Information Engineering

Daegu University - South Korea - September 2025 to Present
In Progress

Areas: Machine Learning, Deep Learning, Human-Computer Interaction, Computer Vision, Data Analytics and Intelligent Systems

Bachelor of Science in Computer Science

University of Dar es Salaam - Tanzania - October 2020 to October 2023
Completed

Areas: Information Systems, Systems Analysis and Design, Software Development, Databases and User-Centred Design


Research Profile

Machine Learning and Deep Learning

Developing data-driven models for prediction, recognition, classification, and intelligent decision support.

Computer Vision and Human Behaviour Understanding

Exploring pose estimation, multi-person tracking, person re-identification, action recognition, and video-based behaviour analysis.

Human-Computer Interaction

Designing usable, accessible, and human-centred intelligent systems.

Public Health Data Analytics

Applying machine learning and information systems to disease surveillance, outbreak prediction, and data-quality assessment.

Intelligent Manufacturing

Developing predictive analytics dashboards and machine-learning systems for manufacturing quality prediction and root-cause analysis.

Information Systems

Analysing and designing practical digital platforms that support organisations and public-service delivery.


Selected Publications and Academic Work

Journal Article

Data Quality Impact on Disease Outbreak Prediction: A Comprehensive Analysis of Time Series and Machine Learning Models

Venue: IEMEK Journal of Embedded Systems and Applications
April 2026
Journal Article

Data Quality Assessment with Automated Machine Learning for Enhanced Outbreak Prediction and Public Health Analytics

Venue: Journal of the Korea Society of Industrial Information Systems
February 2026
Conference Paper

Intelligent Manufacturing Analytics Dashboard Using Machine Learning for Real-Time Quality Prediction and Root Cause Analysis

Venue: ISIITA Conference 2026
January 2026

Current Research Topics

Real-time multi-person tracking and re-identification Skeleton-based human action recognition Video-based challenging-behaviour understanding Pose-estimation systems Machine-learning prediction Dashboards Data-quality analysis for public-health prediction Human-centred AI systems

Academic and Technical Skills

Artificial Intelligence

Machine Learning Deep Learning Computer Vision Pose Estimation Action Recognition Person Tracking Person Re-identification Time-Series Prediction Model Evaluation

Research

Research Methodology Literature Review Experimental Design Data Analysis Academic Writing Technical Documentation Results Interpretation

Information Systems

Systems Analysis and Design Requirement Gathering Information-System Development Data Quality Assessment System Integration Dashboard Design User-Centred Design

Technical Tools

Python HTML CSS JavaScript Data Visualization Machine-Learning Frameworks DHIS2 Git and GitHub

Academic Achievements


Contact

Feel free to reach out for research collaboration, academic inquiries, or discussions related to my work.