Research Topic

• Multimodal Federated Learning for Sustainable Smart Cities (using FedMultimodal framework)
• Digital Twin Design with Scenario Planning for City Disaster Management (with AI-based Management)
• Situational Awareness for Urban Environment and Traffic (using CityGML)
• City-based Carbon Emission Estimation (need to develop an APP or website, along with web parser and Python programming)
• Open Source Contribution: Automatic Deployment of AI models based on Kubernetes, Kubeflow and Kserve (on GitHub)
• Image-based Multiple Person Tracking Across Multiple Cameras (Tracking of Distant Water Fishermen)
• AI and Image/Video-based Quality Monitoring of Water Bodies (such as lakes, rivers, etc.)
• Classification of Movement Disorders in Parkinson's Disease (based on UPDRS)

Internship Plan is as follows, subject to change based on individual qualifications:

• 1st month: Collection of real and online datasets
• 2nd month: Model design, training, and validation
• 3rd month: Application and paper writing
• 4th month: Deeper investigation of same topic or another topic
• 5th month: More experiments with solid results
• 6th month: Journal paper writing
• (All 5- or 6-months internship will have a mid-term review around the 10th week. If mid-term review failed, the internship will be shortened.)

• Design of IoT Integration Platform

• Graph attention network for malicious account detections
• Multimodal hate speech detection

• Web crawler for Data Fusion (using Python)
• Text Analysis and Mining for Fraud detection (using Python)
• Image analysis and mining for the bamboo forest

• AI for Microbial Fuel Cell (MFC)

• Geo-microbial ecology and functional genomics
• Environmental microbiomes addressing contaminants and climate change
• Exploring the environmental resistome in one-health perspectives
• Unrevealing human microbiome's impact
• Bioinformatics in microbiome research