Research Topic

• Digital Twin Design with Scenario Planning for City Disaster Management with cross-silo multimodal federated learning (at least 4 months internship)
• AI and Image/Video-based Quality Monitoring of Water Bodies (such as lakes, rivers, etc.) with image data collection, drone edge-AI system design, etc. (at least 3 months internship)
• AI-based Detection of Waste Littering, including cigarette butts and other litters. (at least 3 months internship)
• Open Source Contribution: Automatic Deployment of AI models based on Kubernetes, Kubeflow and Kserve (on GitHub) (only for 6 months internships)

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.)

• Artificial Intelligence-enhanced wireless research

• AI-Driven Quality Control Using Python and Deep Learning for Bamboo-Charcoal Covers
• Bamboo Nokiac Project – Preserving Bamboo Culture and Design through an Smart App
• Predict ESG Risks of Indian Public Companies

• Patent Classification based on Deep Learning
• Crop digital breeding
• Digital twin for smart agriculture
• Private search and recommendation with federated computing
• AI-Powered Payment Recommendations and Multimodal Solutions