Assoc. Prof. Dr ZHOU HANG| Intelligent transportation | Best Scholar Award

Director,Beijing Jiaotong University,

Dr. Zhou Hang is a dedicated scholar with significant contributions to signal processing, pattern recognition, and computer vision. His career exhibits:

Long-term dedication to teaching and mentoring.
Proven research outputs in gesture recognition and digital systems.
Active national and international academic involvement.
Recognition through multiple awards and roles in influential academic bodies.

Publication Profile

Scopus

Academic Background:

Zhou Hang received his Ph.D. in Signal and Information Processing from Beijing Jiaotong University in January 2008, where he conducted research on gesture recognition systems based on computer vision. He earned his Master’s degree in Communication and Information Systems from Lanzhou Railway Institute in 2000, focusing on digital dispatching interfaces and network administrator systems. His academic journey began at the same institute, where he obtained a Bachelor’s degree in Communication Engineering in 1997.

Professional Experience:

Since February 2008, Zhou Hang has served at the School of Electronic and Information Engineering, Beijing Jiaotong University, where he currently holds the position of Associate Professor. His responsibilities encompass teaching, supervising graduate students, and conducting research in the fields of signal processing and pattern recognition. In addition to his primary academic duties, he has contributed to several university initiatives and technical evaluations.

Zhou Hang has international academic exposure, including an academic visit to the University of Sydney in 2010, a visiting scholar position at Utah State University (2015–2016), and participation in an international conference at the University of Aveiro in Portugal in 2018.

Research Interests:

Zhou Hang specializes in signal processing, pattern recognition, and computer vision, with particular expertise in gesture and human motion recognition, edge detection, and optical flow analysis. His research also includes work on human-computer interaction, multi-scale mathematical morphology, and digital transmission technologies. Over the years, he has developed novel algorithms for hand tracking, body gait recognition, and object detection in complex backgrounds.

Honors and Recognitions:

Throughout his career, Zhou Hang has been recognized with numerous awards for excellence in teaching and research. Notably, he was named “Elite Teacher of Beijing Jiaotong University” in 2014 and was recognized as an “Outstanding Moral Educator of Beijing.” He has received the “Jing Dongfang Teacher Scholarship” three times (2010–2012), and was honored with the “Second-class Award of Youth Teacher’s Basic Teaching Skill” in 2012. His group also earned the “Second-class Award” at the 8th Chinese Graduate Student Electronic Design Competition. Earlier, in 2005, he received the “Prize of Excellent Proceeding Paper” from the Chinese Institute of Electronics.

Publication :

Zhou Hang (2014). A Novel Algorithm of Edge Location Based on Omni-directional and Multi-scale MM. Journal of Computers, 9(4), 990–997.
Zhou Hang (2013). Synchronous Digital Transmission Technology. Science Press, ISBN 978-7-03-033541-8, China.
Zhou Hang (2014). Insect detection algorithm based on associated optical flow tracking. Journal of Gansu Agricultural University, 49(3), 171–175.
Zhou Hang (2014). New Edge Detection Method Based on Omni-directional and Multi-scale Mathematical Morphology. Journal of Chinese Computer Systems, 35(5), 1196–1200.
Zhou Hang (2012). Body Gait Tracking with a Fisher Discriminance on Feature Analyse. In Proceedings of ICSP 2012, Beijing, Vol. 2, 1156–1159.
Zhou Hang (2012). A Novel Uncalibrated Human Hand Tracking Based on Transition Model. In Proceedings of ICSP 2012, Beijing, Vol. 2, 1239–1242.
Zhou Hang (2010). A New Approach of Hand Tracking Based on Integrated Optical Flow Analyse. In Proceedings of ICSP 2010, Beijing, Vol. 2, 1194–1197.
Zhou Hang (2009). An OPS Hand Tracking Algorithm Based on Optical Flow. In Proceedings of WCSE 2009, Xiamen.
Zhou Hang (2007). Bare-hand alphabets gesture recognition based on VCM and ROI segmentation. Journal on Communications, 28(5), 94–100.
Zhou Hang (2007). SBB based Complex Background Recognition System on Hand Gesture Input. Journal of the China Railway Society, 29(5), 54–59

conclusion:

Yes, Dr. Zhou Hang is a suitable candidate for the “Research for Best Scholar Award.”
His body of work demonstrates depth, consistency, and societal relevance, particularly in the application of signal processing to intelligent systems. He would be a strong contender, particularly if his recent research activities and measurable impact metrics (e.g., citations, patents) are well documented in the nomination.

ZHOU HANG | Intelligent transportation | Best Scholar Award