Bo Tang

Bo Tang is an Assistant Professor in the Department of Electrical and Computer Engineering at the Bagley College of Engineering, Mississippi State University, where he conducts pioneering research in artificial intelligence. He received the prestigious NSF CAREER Award in 2021 for his work on biologically inspired lifelong learning systems.

His academic credentials include:

• Bachelor's degree from Central South University (2007)
• Master's degree from Institute of Electronics, Chinese Academy of Sciences (2010)
• Ph.D. in Electrical Engineering from the University of Rhode Island (2016)

Tang's research focuses on developing artificial intelligence systems capable of continuous knowledge accumulation and multimodal association learning through biologically inspired frameworks. His work investigates how characteristics of the mammalian brain can enhance deep neural networks' ability to interact effectively with real-world streaming sensory data, aiming to create more flexible and adaptive AI with human-like learning capabilities.

His major recognitions include:

• NSF CAREER Award (2021) for $500,000 research grant
• NIJ New Investigator/Early Career Award (2018)
• Best Paper Award at IEEE Annual Computing and Communication Workshop and Conference (2018)

Prior to joining Mississippi State, Tang served as an Assistant Professor in the Department of Computer Science at Hofstra University. His current NSF-funded project 'Career: Towards Biologically Inspired Lifelong Learning with Multimodal Association' establishes a new framework for enabling efficient learning-memory interactions in neural networks, with potential applications across multiple AI domains requiring real-time adaptation.