CV

Education

Tianjin University, School of Future Technology. B.Eng. in Automation, 2023-present.

• Overall: rank 8/100; weighted score 91.54; GPA 3.85/4.0.
• Junior specialization: rank 1/8; weighted score 96.55; GPA 3.98/4.0.
• The School of Future Technology is Tianjin University's elite undergraduate college; the Intelligent Machine Platform honors track admits students through Gaokao-based selection and internal university selection.
• The first two years provide shared training in mathematics, physics, and engineering fundamentals. After sophomore-year major selection, I chose Automation.

Research Interests

Computational neuroscience, cognitive neuroscience, Neuro-AI, predictive processing, world models, natural language acquisition, cognitive maps, neural learning mechanisms, and embodied cognition.

Publication

Denghan Xiong, Yanzhe Zhao, Yutong Chen, and Zichun Wang. Nonholonomic Narrow Dead-End Escape with Deep Reinforcement Learning. Proceedings of the 2025 9th International Conference on Computer Science and Artificial Intelligence, ACM, pp. 126-131. DOI: 10.1145/3788149.3788204.

Selected Training

• Summer research visit: Undergraduate Research Assistant, Shanshan Qin Lab, Shanghai Jiao Tong University, July-September 2026.
• Neuromatch Academy Computational Neuroscience, online summer school, July 2026.
• Junior spring: Brain and Cognition; Intelligent Medical Signal Processing; Optimization-based Machine Learning; Deep Learning; Pattern Recognition and Brain-like Intelligence.
• Junior fall: Equations of Mathematical Physics; Theory of Motor; Numerical Computational Method.
• Foundational coursework: Mathematical Analysis; Advanced Linear Algebra; Probability and Mathematical Statistics; Fundamental Physics; Circuit Principles; Analog Circuits; Digital Circuits; Automatic Control; Principles of Programming.
• Research training: Imperial College London / NeoScholar research with Prof. Sen Wang; University of Bristol CASE summer school.

Selected Course Grades

• Numerical Computational Method: 99; Fundamental Physics: 99; Equations of Mathematical Physics: 98.
• Mathematical Analysis: 95; Principles of Programming: 95; Probability and Mathematical Statistics: 94; Circuit Principles: 94.
• Advanced Linear Algebra: 93; Analog Circuits: 93; Automatic Control: 92; Discrete Mathematics: 92.

Selected Projects

• EEG Time-Frequency Analysis with OpenBMI. A reproducible Python workflow for STFT, CWT, wavelet multiresolution, and OpenBMI motor imagery EEG ERD/lateralization analysis. GitHub
• EEG Feature Enhancement and Single-Trial Classification. A reproducible Python implementation of ERP ICA/PCA/LDA target detection and SSVEP TRCA single-trial EEG recognition. GitHub
• EEG Spectral Estimation. A reproducible study of classical and AR spectral estimators on synthetic signals and LEMON closed-eye resting-state EEG. GitHub
• ERP Filtering and EEG Preprocessing. A complete ERP filtering study covering IIR/FIR filter design, EEG preprocessing, waveform interpretation, and bilingual reporting. GitHub
• Brunel Balance Network. A Brian2 reproduction and analysis of canonical sparse excitatory/inhibitory spiking network regimes from Brunel 2000. GitHub
• Nonholonomic Dead-End Escape with Deep RL. A SAC-based navigation and evaluation stack for Ackermann-style robots escaping narrow dead-end environments. GitHub
• Deep Learning Exp2: MNIST Noise Robustness. A reproducible PyTorch study of LeNet-style MNIST recognition, feature visualization, self-collected handwriting samples, and Gaussian-noise robustness. GitHub
• SAGIN ML: Satellite Link Optimization. A Space-Air-Ground-Sea network project combining PCA-based satellite image transmission and cost-aware UAV link switching. GitHub
• Q-RIS-UAV Secure Energy Optimization. A public academic report and reproducible simulation for QKD-protected RIS-UAV offshore monitoring with secure energy-efficiency optimization. GitHub
• MNIST MLP Experiment Diagnosis. A complete NumPy MLP project for MNIST training, abnormal-case diagnosis, repair experiments, and photographed handwriting generalization. GitHub
• Eight-Cable-Driven Parallel Robot. A desktop-scale 6-DOF cable-driven parallel robot built from mechanism design through modeling and control. GitHub
• VeriRotate: BMP Rotation in Verilog. A pure-hardware pipeline for rotating 24-bit BMP images 90 degrees counter-clockwise. GitHub

Skills

Programming: Python, C++, MATLAB/Simulink, Verilog, Java. Scientific computing: NumPy, SciPy, Matplotlib, PyTorch-style workflows, Brian2. Robotics and systems: ROS2/ROS1, Gazebo, control, embedded development, SolidWorks, Linux, Docker, Git, LaTeX.