Dezhen Song is a Professor and Deputy Chair of Robobics in Mohamed Bin Zayed University of Artificial Intelligence (MBZUAI), Abu Dhabi, UAE. Prior to that, he was a Professor and Former Associate Department Head for Academics with Department of Computer Science and Engineering, Texas A&M University (TAMU), College Station, Texas, USA. Song received his Ph.D. in 2004 from University of California, Berkeley; MS and BS from Zhejiang University in 1998 and 1995, respectively. Song's primary research area is robot perception, robot navigation, sensor fusion, networked robots, and automation. From 2008 to 2012, Song was an Associate Editor of IEEE Transactions on Robotics (T-RO). From 2010 to 2014, Song was an Associate Editor of IEEE Transactions on Automation Science and Engineering (T-ASE). Song was a Senior Editor for IEEE Robotics and Automation Letters (RA-L) from 2017 to 2021 and currently is a Senior Editor for IEEE Transactions on Automation Science and Engineering (T-ASE) (2023-2028). He was also a multimedia Editor and chapter author for Springer Handbook of Robotics. His research has resulted in one monograph and more than 150 refereed conference and journal publications. Dr. Song received NSF Faculty Early Career Development (CAREER) Award in 2007, Kayamori Best Paper Award of the 2005 IEEE International Conference on Robotics and Automation (ICRA), the 2022 Best Paper Award of the LCT 2022 Affiliated Conference, the First place in GM/SAE AutodriveChallenge II competition in 2023, and Amazon Research Award in 2020.

I have moved from Texas A&M University (TAMU) to Mohamed Bin Zayed University of Artificial Intlliengence, and will not accept students to TAMU CSE department. However, I am constantly recruiting students and postdoctoral scholars in Mohamed Bin Zayed University of Artificial Intelligence (MBZUAI). All MS, PhD, and postdoctoral programs are funded with competitive compensation at MBZUAI. For prospective students, I would recommend you to read our publications here to get a clear idea of what our topics are in the field of robotics. I prefer creative students with strong analytical skills, hands-on skills, and, more importantly, a proactive working attitude and strong motiviation. The normal process is that we will have a conversation about your future study and career plans in the context of my research interests. Please send me your c.v., transcripts, and sample publications if you are interested in contacting me. Again, the preferred email is dezhen.song@mbzuai.ac.ae. Also, I will discuss your previous papers and papers we published, and an insightful discussion would help increase your admission probability.