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.

Education

University of Aizu

Aizu-Wakamatsu, Fukushima, Japan
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Ph.D. Computer Science & Electrical Engineering Grade:

University of Aizu

Aizu-Wakamatsu, Fukushima, Japan
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M.S. Computer and Information Systems Grade:

Yanshan University

Qinhuangdao, Hebei, China
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Bachelor's Computer Science Grade:

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).