Zhiqi Niu received a B.Sc. degree in Electronic Information Engineering from the University of Mississippi, USA, in 2023. He is currently pursuing an M.Sc. degree in Computer Engineering at the University of Mississippi, Oxford, MS, USA. His primary research interests focus on the application of machine learning and deep learning techniques in the stock market, particularly in developing predictive models for financial time series analysis, algorithmic trading, and social emotions. He is also interested in designing very-large-scale integration (VLSI) circuits, and the application of probability and statistics in machine learning.
Publications:
T. Mohaidat, Z. Niu, A. Syed and K. Khalil, "Enhancing Hardware Neural Networks with Self-Healing Perceptron Design," 2024 IEEE 3rd International Conference on Computing and Machine Intelligence (ICMI), Mt Pleasant, MI, USA, 2024, pp. 1-5, doi: 10.1109/ICMI60790.2024.10585684.