Tamuq professor elevated to fellow grade of IEEE

Dr Tingwen Huang, a mathematics professor in the Science Programme at Texas A&M University at Qatar (Tamuq), has been elevated to fellow grade of the Institute of Electrical and Electronics Engineers (IEEE).IEEE Fellow, the highest grade of membership, is recognised as a prestigious honour and a distinctive career achievement. Huang was recognised “for contributions to dynamical analysis of neural networks.”Huang said, “I apply mathematics to solve engineering problems, especially those originating in artificial computational intelligence, neural networks and computer science. My research areas focus on dynamics of neural networks including memristor, complex networks including multi-agent and smart grid. Memristor and smart grid both are important to Qatar’s advancement.”A neural network is a framework for many different machine learning systems to work together and process complex data. For example, a simple neural network could learn to identify cats and dogs in photos after learning and deciphering characteristics of them from other photos.Huang has also developed a framework of the smart grid system management via neural networks-based approaches, which play a significant role in improving the energy efficiency. In fact, Huang said, Qatar needs a smart grid that is intelligent to customers and utility companies, self-healing and resilient to natural disasters, which could accommodate existing infrastructure and deliver reliable supply through deep learning algorithms.The outcomes of this research will improve the energy efficiency and enhance the reliability of Qatar’s power network. Huang said this will be very useful to the country in training the next generation of electrical engineers, developing cutting-edge deep learning technology and cultivating modern power system operational consultancy.Huang earned a PhD  from Texas A&M University in December 2002. Since joining the Tamuq faculty in 2003, he has published more than 400 papers in prestigious journals, including more than 130 in IEEE Transactions journals and 36 in Neural Networks. His research work has received more than 10,000 citations. He was a Dean’s Fellow in recognition of his excellence and achievements in 2014. Qatar National Research Fund awarded him the Best Research Project in 2015. Most recently, he’s been named a Highly Cited Researcher for 2018 by Clarivate Analytics.IEEE is a non-profit international association advancing innovation and technological excellence in the field of electrical and electronics engineering. The grade of Fellow is awarded to distinguished researchers in recognition of their breakthrough and high-impact studies in any of IEEE’s designated fields of interest.