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Algorithm-Architecture Co-design, Software-Hardware Co-design, AIoT, Smart System, Geek, Reseacher, Metaverse
China, Japan

Biography

Jiangkun Wang is currently pursuing a Ph.D. at the University of Aizu. He obtained his M.S. (in computer and information systems at the University of Aizu, Japan) in 2020 and his Bachelor's degree in computer science in 2018, at Yanshan University, China. He is a member of IEEE, ACM and CCF. His current research topics are software-hardware co-designing AI-enabled real-time bio-medical systems and event-driven brain-inspired neuromorphic systems. He is also interested in machine learning, metaverse, blockchain, trustworthy AI, robotics and automation control.

My PhD program is finishing in 2023 summer. Job opportunities in CS and EE are welcome. (ku@ieee.org)

Activities

Education and qualifications (1)

University of Aizu: aizu, fukushima, JP

2018-10-01 to 2023-10-01
Education
Source: Self-asserted source
Jiangkun Wang

Professional activities (2)

University of Aizu: Aizu-Wakamatsu City, Fukushima, JP

2018-10-01 to present | Research Assistant (Graduate School of Computer Science and Engineering)
Invited position
Source: Self-asserted source
Jiangkun Wang

University of Aizu: Aizu-Wakamatsu City, Fukushima, JP

2018-10-01 to present | Teaching Assistant (Graduate School of Computer Science and Engineering)
Invited position
Source: Self-asserted source
Jiangkun Wang

Works (11)

Efficient AI-Enabled Pneumonia Detection in Chest X-ray Images

2022 IEEE 4th Global Conference on Life Sciences and Technologies (LifeTech)
2022 | Conference paper
Source: Self-asserted source
Jiangkun Wang

Efficient Pneumonia Detection Method and Implementation in Chest X-ray Images Based on a Neuromorphic Spiking Neural Network

2022 | Book chapter
Contributors: Tomohide Fukuchi; Mark Ikechukwu Ogbodo; Jiangkun Wang; Khanh N. Dang; Abderazek Ben Abdallah
Source: check_circle
Crossref

Spike-Event X-ray Image Classification for 3D-NoC-Based Neuromorphic Pneumonia Detection

Electronics
2022-12-13 | Journal article
Contributors: Jiangkun Wang; Ogbodo Mark Ikechukwu; Khanh N. Dang; Abderazek Ben Abdallah
Source: check_circle
Crossref
grade
Preferred source (of 2)‎

A Virtual Reality Whiteboard System for Remote Collaboration Using Natural Handwriting

Electronics
2022-12-12 | Journal article
Contributors: Jiangkun Wang; Lei Jing
Source: check_circle
Crossref
grade
Preferred source (of 2)‎

Parallelization and Hardware Mapping of Deep Neural Network on Reconfigurable Platform for AI-Enabled Biomedical System

SHS Web of Conferences
2022-05-13 | Conference paper
Part of ISSN: 2261-2424
Source: Self-asserted source
Jiangkun Wang
grade
Preferred source (of 2)‎

Comprehensive Study of Coronavirus Disease 2019 (COVID-19) Classification based on Deep Convolution Neural Networks

SHS Web of Conferences
2021 | Journal article
Contributors: Miyuka Nakamura; Jiangkun Wang; Sinchhean Phea; Abderazek Ben Abdallah
Source: check_circle
Web of Science Researcher Profile Sync

Hardware Acceleration of Convolution Neural Network for AI-Enabled Realtime Biomedical System

SHS Web of Conferences
2021 | Journal article
Contributors: Okada Yuuki; Jiangkun Wang; Ogbodo Mark Ikechukwu; Abderazek Ben Abdallah
Source: check_circle
Web of Science Researcher Profile Sync

Operation Efficiency Study on a New Cooperative VR Whiteboard System

Communications in Computer and Information Science
2021 | Book
EID:

2-s2.0-85112060208

Part of ISSN: 18650937 18650929
Contributors: Wang, J.; Jing, L.
Source: Self-asserted source
Jiangkun Wang via Scopus - Elsevier
grade
Preferred source (of 2)‎

Optimization and Implementation of a Collaborative Learning Algorithm for an AI-Enabled Real-time Biomedical System

SHS Web of Conferences
2021 | Journal article
Contributors: Sinchhean Phea; Zhishang Wang; Jiangkun Wang; Abderazek Ben Abdallah
Source: check_circle
Web of Science Researcher Profile Sync

Hand motion capture system based on multiple inertial sensors: Demo abstract

SenSys 2020 - Proceedings of the 2020 18th ACM Conference on Embedded Networked Sensor Systems
2020 | Conference paper
EID:

2-s2.0-85097518507

Contributors: Lu, C.; Wang, J.; Jing, L.
Source: Self-asserted source
Jiangkun Wang via Scopus - Elsevier

A novel AR whiteboard system and usability study

2019 IEEE 8th Global Conference on Consumer Electronics, GCCE 2019
2019 | Conference paper
EID:

2-s2.0-85081974734

Contributors: Wang, J.; Endo, T.; Lu, C.; Jing, L.
Source: Self-asserted source
Jiangkun Wang via Scopus - Elsevier

Peer review (1 review for 1 publication/grant)

Review activity for Computational intelligence. (1)