AI Engineering for Modern Engineering Research and Applications
ABSTRACT
Artificial intelligence (AI) has become a foundational technology for diverse engineering disciplines. This talk discusses AI Engineering, focusing on the integration of machine learning (ML), deep learning (DL), and large language models (LLMs) into engineering research and system design. The presentation highlights how AI enables new capabilities in electrical engineering (wireless communications), computer engineering (intelligent systems), and biomedical engineering (AI medicine). Selected research examples illustrate the application of AI techniques to problems such as signal classification, system optimization, and multimodal data analysis. In addition, the talk discusses research methodology and technical paper writing, with emphasis on developing high-impact survey papers and comparative-study papers.
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- 1515 Ste. Catherine West (corner with Guy St.)
- MONTREAL, Quebec
- Canada H3G 1M8
- Room Number: EV001-162
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- Co-sponsored by Gunes Karabulut Kurt
- Starts 02 April 2026 04:00 PM UTC
- Ends 07 April 2026 04:00 PM UTC
- No Admission Charge
Speakers
Dr. Yu-Dong Yao
AI Engineering for Modern Engineering Research and Applications
ABSTRACT
Artificial intelligence (AI) has become a foundational technology for diverse engineering disciplines. This talk discusses AI Engineering, focusing on the integration of machine learning (ML), deep learning (DL), and large language models (LLMs) into engineering research and system design. The presentation highlights how AI enables new capabilities in electrical engineering (wireless communications), computer engineering (intelligent systems), and biomedical engineering (AI medicine). Selected research examples illustrate the application of AI techniques to problems such as signal classification, system optimization, and multimodal data analysis. In addition, the talk discusses research methodology and technical paper writing, with emphasis on developing high-impact survey papers and comparative-study papers.
Biography:
Since 1989, Prof. Yu-Dong Yao's industry and academia experiences include Carleton University (Ottawa), Spar Aerospace (Montreal), Qualcomm (San Diego), and Stevens Institute of Technology (Hoboken). From 2007 to 2018, he served as Stevens' department chair of electrical and computer engineering. Prof. Yao's research interests include information technology, network systems, wireless communications, AI, healthcare IoT, and healthcare big data analysis. He is currently an editor-in-chief of AI Medicine and an editor-in-chief of AI Engineering. Prof. Yao is an elected fellow of IEEE (2011), NAI (2015), CAE (2017), AIMBE (2021), and AAIA (2022).
Email:
Address:Department of Electrical and Computer Engineering Stevens Institute of Technology, Hoboken, New Jersey, United States