一、个人简介

张著军，男，1990年生，山东东营人，2022年获哈尔滨工业大学机械工程工学博士学位。发表学术论文13篇（其中12篇被SCI/EI收录），累计他引4200余次。担任Computers & Industrial Engineering、Engineering Applications of Artificial Intelligence、Expert Systems with Applications、IEEE Transactions on Automation Science and Engineering、International Journal of Advanced Manufacturing Technology、Journal of Industrial Information Integration、Journal of Intelligent Manufacturing、Journal of Mechanical Engineering Science等期刊邀请审稿人。担任山东省自动化学会理事，中国计算机学会会员。

主讲控制工程基础、人工智能基础、智能产品等课程。

二、主要研究方向

智能制造，具身智能，人机协作，故障诊断与状态监测，机器人技术。

三、代表性成果

承担代表性项目/奖励：

1.主持东营市科学发展基金项目“基于数据与知识混合驱动的焊接机器人智能运维技术研究”；

2.主持东营市科技创新重大专项“机器人焊接系统智能运维”；

3.参与国家自然科学基金“面向复杂服役环境的自动对接方法与关键技术研究”；

4.参与高档数控机床与基础制造装备专项“大型金属壳段快速研制生产线研究”；

5.获第八届中国·湖州全球高层次人才创新创业大赛二等奖；

6.获第五届山东省人工智能创新创业大赛优胜奖；

代表性论文：

1.DTSE-SpaceNet: Deformable-Transformer-Based Single-Stage End-to-End Network for 6D Pose Estimation in Space. IEEE Transactions on Aerospace and Electronic Systems, 2023.

2.Prediction-based human-robot collaboration in assembly tasks using a learning from demonstration model. Sensors, 2022.

3.Human-robot collaboration for advanced manufacturing by learning from multi-modal human demonstrations. Manufacturing In the Era Of 4th Industrial Revolution: A World Scientific Reference. World Scientific Publishing Co.,2021.

4.Controlling Object Hand-Over in Human-Robot Collaboration via Natural Wearable Sensing. IEEE Transactions on Human-Machine Systems, 2018.

5.A deep convolutional neural network with new training methods for bearing fault diagnosis under noisy environment and different working load. Mechanical Systems and Signal Processing, 2018.

6.A new deep learning model for fault diagnosis with good anti-noise and domain adaptation ability on raw vibration signals. Sensors, 2017.

7.Computer vision algorithm for measurement and inspection of O-rings. Measurement,2016.

四、联系方式

邮箱：zhangzhujun@sdipct.edu.cn