IEEE CIS Distinguished Lectures: Tingwen Huang

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Dear IEEE Members,

We are thrilled to invite you to ISSATK2024: IEEE International Symposium of Systems, Advanced Technologies, and Knowledge, taking place from November 2-3, 2024 in the historic city of Kairouan, Tunisia. Hosted at the Institute of Applied Sciences and Technology of Kairouan (ISSAT Kairouan), this multidisciplinary conference serves as a platform for sharing recent trends and advancements in computer science, electrical engineering, and mechanical engineering.

This year, we are honored to feature Professor Tingwen Huang, IEEE CIS Distinguished Lecturer, who will lead two insightful sessions, providing a deeper understanding of AI advancements and efficient computational methodologies.

Distinguished Lecture Session : Efficient Computational Approaches and Their Applications (Abstract)

This unique opportunity will allow participants to engage with Professor Huang's expertise in a collaborative and enriching environment alongside a community of researchers, students, and industry professionals.

We look forward to your participation in ISSATK2024, where you’ll have the opportunity to explore the latest advancements across multiple disciplines, engage in dynamic discussions, and expand your professional network in an inspiring setting



  Date and Time

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  • Starts 29 October 2024 08:32 PM UTC
  • Ends 01 November 2024 08:34 AM UTC
  • No Admission Charge


  Speakers

TINGWEN HUANG

Topic:

Efficient Computational Approaches and Their Applications

Biography:

Tingwen Huang is a Professor at Texas A&M University at Qatar. He received his B.S. degree from Southwest University, China, 1990, his M.S. degree from Sichuan University, China, 1993, and his Ph.D. degree from Texas A&M University, College Station, Texas, 2002. After graduating from Texas A&M University, he worked as a Visiting Assistant Professor there. Then he joined Texas A&M University at Qatar as an Assistant Professor in August 2003, then he was promoted to Professor in 2013. Dr. Huang’s research areas include neural networks, chaotic dynamical systems, complex networks, optimization and control, and smart grid. He is a Fellow of TWAS, IAPR and IEEE, a Member of The European Academy of Sciences and Arts.

Address:China