Jiangkun Wang
Ph.D. Candidate | AI & Neuromorphic Systems Researcher
Aizu-Wakamatsu, JP.About
Ph.D. candidate at the University of Aizu specializing in AI-enabled real-time biomedical systems and brain-inspired neuromorphic computing, with a strong foundation in computer science. Expertise spans software-hardware co-design, machine learning, robotics, and automation control, driving innovation at the intersection of computing and advanced engineering. Seeking challenging opportunities in Computer Science and Electrical Engineering to leverage advanced research and technical skills.
Skills
Research & Development
Software-Hardware Co-design, AI-enabled Real-time Biomedical Systems, Event-driven Brain-inspired Neuromorphic Systems, System Design, Algorithm Development.
Artificial Intelligence & Machine Learning
Machine Learning, Trustworthy AI, Deep Learning, Neural Networks, Data Analysis.
Emerging Technologies
Metaverse, Blockchain, Robotics, Automation Control, Neuromorphic Computing.
Programming & Tools
Python, C++, MATLAB, Simulation, Hardware Description Languages (HDL).