人员

教师

郝祁    副教授

电子邮箱:

haoq_AT_sustech.edu.cn

办公室:

南山智园A7 906

研究方向:

仿生智能传感器、智能感知、机器学习、无人自主系统

教育背景

◆ 2002-2006,美国杜克大学,博士

◆ 1994-1997,上海交通大学,硕士

◆ 1990-1994,上海交通大学,学士


工作经历

◆ 2014-至今   南方科技大学 计算机科学与工程系 副教授

◆ 2007-2014(美国)阿拉巴马大学电子与计算机工程系助理教授

◆ 2006-2007(美国)肯塔基大学可视化与虚拟环境中心博士后

◆ 1998-2001  新加坡数据储存研究院研究助理

◆ 1997-1998  上海电动工具研究所工程师


荣誉与奖项

◆ NSF Award “Intelligent compressive multi-walker recognition and tracking (iSMART) through

    pyroelectric sensor networks”, 2009

◆ NSF Award “Cognitive sensing research infrastructure for distributed behavioral biometrics”, 2011

◆ IEEE 智能系统多传感器融合与整合会议“最佳论文”入围奖,2012年

◆ IEEE 传感器会议“最佳学生论文”(指导教授),2013年

◆ IEEE 智能系统多传感器融合与整合会议“最佳论文”入围奖,2016年

◆ IEEE 智能系统多传感器融合与整合会议“最佳论文”入围奖,2016年

◆ IEEE 传感器会议“最佳学生论文”第三名(指导教授),2018年

◆ 深圳市先进教育工作者,2017年

◆ 校内荣誉:

(1)2017年、2018年、2019年南科大优秀书院导师

(2)2017年南科大青年教学竞赛二等奖

(3)2017年南科大杰出服务奖、2019年优秀服务奖

(4)2018年南科大杰出科研奖

(5)2015年、2016年、2017年、2018年、2019年南科大招生先进个人

(6)2017年南科大海外招生荣誉奖


代表文章

1. F. Han, D. Li, Q. Hao*, “Autonomous driving framework for bus transit systems towards operation safety and robustness”, Proc. of IEEE Conf. on Intelligent Transportation Systems Conference, Oct. 2019.

2. H. Xu, G. Lan, S. Wu, Q. Hao*, “Online intelligent calibration of cameras and lidars for autonomous driving systems”, Proc. of IEEE Conf. Intelligent Transportation Systems Conference, Oct. 2019. 

3. R. Ma, G. Lan, Q. Hao*, “Enabling cognitive pyroelectric infrared sensing: from reconfigurable signal conditioning to sensor mask design”, IEEE Trans. on Industrial Informatics, 2019. 

4. S. Wang, F. Jiang, R. Ma, and Q. Hao*, “Development of UAV based target tracking and recognition systems”, IEEE Trans. on Intelligent Transportation Systems, 2019.

5. F. Jiang, F. Navan, Q. Hao*, “Design, implementation and evaluation of a neural network-based quadcopter UAV system”, IEEE Trans. on Industrial Electronics, Volume: 67, Issue: 3, pp.2076 - 2085, Mar. 2020.

6. F. Jiang and Q. Hao*, “Pavilion: bridging photo-realism and robotics,” Proc. of IEEE International Conference on Robotics and Automation (ICRA), May 2019.

7. F. Navan, C. Lim, Q. Hao*, “A reinforced fuzzy ARTMAP model for data classification”, International Journal of Machine Learning and Cybernetics, pp 1–13, Jun. 2018. 

8. Q. Miao, F. Hu, Q. Hao*, “Deep learning for intelligent wireless networks: a comprehensive survey”, IEEE Communications Surveys & Tutorials, vol. 20, no. 4, pp.2595-2621, Jun. 2018.

9. R. Ma, Q. Hao*, X. Hu, and C. Wang, “Space coding schemes for multiple human localization with fiber-optic sensors”, IEEE Sensors Journal, vol. 18, no. 11, pp.4643-4653, Jun. 2018.

10. R. Ma, F. Hu, and Q. Hao*, “Active compressive sensing via pyroelectric infrared sensor for human situation recognition,” IEEE Trans. Syst., Man, and Cyber.: Systems, vol. 47, no. 12, pp. 3340-3350, Dec. 2017. 

11. J. Lu, T. Zhang, Q. Sun, F. Hao, and Q. Hao*, “Binary compressive tracking,” IEEE Trans. on Aerospace and Electronic Systems, vol. 53, no. 4, pp.1755-1768, Aug. 2017. 

12. F. Hu, and Q. Hao*, “Cyber-physical system with virtual reality for intelligent motion recognition and training,” IEEE Trans. Syst., Man, and Cyber: Systems, vol. 47, no. 2, pp. 347-363, Feb. 2017. 

13. J. Lu, T. Zhang, Fei Hu, and Q. Hao*, “Preprocessing design in pyroelectric infrared sensor-based human-tracking system: on sensor selection and calibration,” IEEE Trans. Syst., Man, and Cyber.:Systems, vol. 47, no.2, pp. 263-275, Feb. 2017. 

14. F. Hu, Y. Lu, A. V. Vasilakos, Q. Hao*, R. Ma, Y. Patil, T. Zhang, J. Lu, X. Li, N. N. Xiong, “Robust cyber-physical systems: concept, models, and implementation,” Future Generation Computer Systems, vol. 16, no. 4, pp. 449-475, Mar. 2016.

15. B. Zan, F. Hu, K. Bo, and Q. Hao*, “Dual-resolution friend locator system with privacy enhancement through polygon decomposition,” IEEE Trans. Vehicular Technol, vol. 65, no. 2, pp. 837-847, Feb. 2016.

16. Q. Hao*, “Binary sensing and perception for human behavior study,” Proc. of IEEE ChinaSIP, Chengdu, Jul. 2015, pp. 368-372.

17. F. Hu, Q. Hao*, and K. Bo, “A survey on software defined networking (SDN) and openflow: from concept to implementation,” IEEE Comm. Surveys and Tutorials, vol. 16, no. 4, pp. 2181-2206, Nov. 2014.

18. Q. Sun, F. Hu, and Q. Hao*, “Human movement modeling and activity perception based on fiber-optic sensing system,” IEEE Trans. Human-Machine Systems, vol. 44, no. 6, pp. 743-754, Dec. 2014.

19. Q. Sun, F. Hu, and Q. Hao*, “Mobile targets scenario recognition via low-cost pyroelectric sensing system: towards a context-enhanced accurate identification,” IEEE Trans. on Systems, Man, and Cybernetics, vol. 44, no. 3, pp. 375-384, Mar. 2014. 

20. Y. Wang, K. Liu, Q. Hao, D. L. Lau, and L. G. Hassebrook, “Robust active stereo vision using Kullback-Leibler divergence," IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 34, no. 3, pp. 548-563, Mar. 2012. 

21. Y. Wang, K. Liu, Q. Hao, D. L. Lau, and L. G. Hassebrook, “Period Coded Phase Shifting Strategy for Real–time 3-D Structured Light Illumination,” IEEE Trans. on Image Processing, vol. 20, no. 11, pp. 3001-3013, Nov. 2011. 

22. F. Hu, Q. Hao*, M. Lukowiak, Q. Sun, K. Wilhelm, S. Radziszowski, and Y. Wu, “Trustworthy data collection from implantable medical devices via high-speed security implementation based on IEEE1363,” IEEE Trans. on Information Technology in Biomedicine, vol.14, no. 6, pp. 1397-1404, Nov. 2010. 

23. K. Liu, Y. Wang, D. L. Lau, Q. Hao, and L. G. Hassebrook, “Maximum SNR pattern strategy for phase shifting methods in structured light illumination,” J. Opt. Soc. Am. A, vol. 27, no. 9, pp. 1962-1971, Sept. 2010. 

24. Y. Wang, Q. Hao, A. Fatehpuria, L. G. Hassebrook, and D. L. Lau, “Quality and matching performance analysis of three-dimensional unraveled fingerprints,” Opt. Engr., vol. 49, no. 7, pp. 077202(1-10), Jul. 2010. 

25. K. Liu, Y. Wang, D. L. Lau, Q. Hao, and L. G. Hassebrook, "Dual-frequency pattern scheme for high-speed 3-D shape measurement," Opt. Express, vol. 18, no. 5, pp. 5229-5244, Mar. 2010. 

26. K. Liu, Y. Wang, D. L. Lau, Q. Hao, and L. G. Hassebrook, "Gamma model and its analysis for phase measuring profilometry," J. Opt. Soc. Am. A, vol. 27, no. 3, pp. 553-562, Feb. 2010.


其他信息

主要在研项目:

1. 国家自然科学基金面上项目,“面向多目标定位、动作捕捉与行为分析的智能二进制感知技术研究”, 2017~2020,主持;

2. 深圳市南山区领航团队,“下一代智能超高清相机阵列系统研究及产业化”, 2018~2022,主持;

3. 横向经费,深圳市海梁科技有限公司,“南方科技大学海梁智能交通研究中心”, 2018~2020,主持;

4. 横向经费,英特尔智能网联汽车大学合作研究中心,“Development of open datasets for autonomous transportation with smart samples and cyber-physical benchmarks”, 2019~2021,主持。