National Yunlin University of Science and Technology (YunTech)

Intelligent Data Edge Analytics Laboratory (IDEAL)

桑亞倫 Arun Kumar Sangaiah
https://iai.yuntech.edu.tw/academic_staff/arunks

Research Field

Information Engineering (Information)

Introduction

Professor Arun Kumar Sangaiah is an internationally recognized scholar in Artificial Intelligence–driven intelligent systems and sustainable computing. He has established an independent research niche at the intersection of AI, Edge-IoT, and sustainability, developing original system architectures and learning frameworks for non-invasive healthcare sensing, smart agriculture, smart cities, and environmental sustainability. A Yushan Young Scholar awarded by Taiwan’s Ministry of Education, Professor Arun has demonstrated sustained academic excellence with over 30,000 citations, multiple ESI Highly Cited Papers, and Best Paper Awards in leading international journals. His extensive global research collaborations have significantly enhanced Taiwan’s international research visibility and fostered cross-border knowledge exchange.
 

International Graduate School of AI @ YunTech lab will provide the research problems related to AI-IoT research problems.

Ongoing Research Project: 

Spatiotemporal integration of sentinel data from edge IoT intelligent systems applied to biomass and bioenergy forecasting in diverse vegetation landscapes.

TTSeismoLogix: A GIS architecture for infrastructure vulnerability assessment, socioeconomic impact analysis, and supply chain resilience modeling in earthquake-prone areas.


Research Topics
  • AI
  • Spatio-temporal Systems
  • Internet of Things

 


Honor
  1. Clarivate Highly Cited Researcher (2022, 2021)
  2.  Yushan Young Scholar (Ministry of Education - Taiwan)
  3. Top 1% Researcher (Standford Report)

Educational Background

Ph.D in Computer Science and Engineering


Job Description

Continuously engage in research on Artificial Intelligence (AI) and spatio-temporal fusion modeling techniques for remote sensing data analysis.

Preferred Intern Educational Level

Masters/ Ph.D. students

Skill sets or Qualities

  1. Machine learning and deep learning techniques
  2. Spatio-temporal modeling and data fusion
  3. Remote sensing data processing and analysis

Job Description

Continuously engage in research on Artificial Intelligence (AI) and spatio-temporal fusion modeling techniques for remote sensing data analysis.

Preferred Intern Educational Level

Masters/ Ph.D. students

Skill sets or Qualities

  1. Machine learning & deep learning fundamentals
  2. Spatio-temporal data modeling and fusion
  3. Remote sensing image processing
  4. Python / MATLAB and GIS tools
  5. Research analysis and academic writing