International Graduate School of AI (IAI)
Research Field
Prof. Arun Kumar Sangaiah received his Ph.D. from School of Computer Science and Engineering, VIT University, Vellore, India. He is currently a Full Professor with National Yunlin University of Science and Technology, Taiwan. He has published more than 300 research articles in refereed journals (IEEE TII, IEEE TITS, IEEE TNSE, IEEE TETCI, IEEE SysJ, IEEE SensJ, IEEE IOTJ, ACM TOSN) 11 edited books, as well as 1 patents (held and filed) and 3 projects, among one funded by National Science and Technology Council (NSTC), Taiwan, Ministry of IT of India and few international projects (CAS, Guangdong Research fund, Australian Research Council) cost worth of 500000 USD. Dr. Sangaiah has received many awards, Yushan Young Scholar, Clarivate Highly Cited Researcher (2021,2022), Top 2% Scientist (Standord Report-2020,2021,2022), PIFI-CAS fellowship, Top-10 outstanding researcher, CSI significant Contributor etc. Also, he is responsible for Editor-in-Chief, and Associate Editor of various reputed ISI journals. Dr. Sangaiah is a visiting scientist (2018-2019) with Chinese Academy of Sciences (CAS), China and visiting researcher of Université Paris-Est (UPEC), France (2019-2020) and etc. His Google Scholar Citations reached 19800+ with h-index: 78 and i10-index: 298.
International Graduate School of AI @ YunTech lab will provide the research problems related to AI-IoT research problems.
Ongoing Research Project:
1. Vision-Guided Drones Using Cognitive IoT via Deterministic Deep Learning Architectures for Rice Field Agronomy
2. SD-IoV: Optimizing Strategies for Smart Transportation in Smart Cities Through Software-Defined Internet of Vehicles
3. Paddy field agricultural work performed with the onboard intelligence, navigation and exploration technology of drones
Internet of Things, Deep Learning, Smart Vehicles.
- Clarivate Highly Cited Researcher (2022, 2021)
- Yushan Young Scholar (Ministry of Education - Taiwan)
- Top 1% Researcher (Standford Report)
Ph.D in Computer Science and Engineering
2 Vacancies
Job Description
Deep Learning /AI and ML Tools
Preferred Intern Education Level
Masters/ Ph.D. students
Skill sets or Qualities
ML /AI Programming Tools and Knowledge in IoT system development
2 Vacancies
Job Description
Deep Learning /AI and ML Tools
Preferred Intern Education Level
Masters/ Ph.D. students
Skill sets or Qualities
ML /AI Programming Tools and Knowledge in IoT system development