Çağdaş Karataş Ph.D candidate

WINLAB Tech Centre of New Jersey
671 Route 1 South
, North Brunswick, N.J. 08902-3390
Rutgers, The State University of New Jersey
Phone: +1 (848) 932-0942



I joined in Department of Electrical and Computer Engineering (ECE) at Rutgers University in 2012. I am currently under guidance of Prof. Marco Gruteser as a member of WINLAB.

My master's research thesis is about Fountain codes on MANETS in Computer Engineering in  Ege University  under the guidance of Dr. Aylin Kantarci. I worked at Vestel for three years on various DVB Set Top Box projects ( Satellite receivers, Terrestrial Receivers, IP-TVs and Conditional Access). Then I worked as a embedded design team leader in Anadolu University. In the same year I also in participate CVM  for collecting and  modeling geographical data.


  • PhD in Electrical Computer Engineering, Rutgers University ,USA
  • MS in Computer Engineering, Ege University, Turkiye
  • BS in Electrical Engineering, Anadolu University, Turkiye


  • Wireless Ad-hoc and Sensor Networks
  • Context Awareness
  • Activity Recognition
  • Mobile Ad-Hoc Networks
  • Image Processing ( MPEG standards and Digital Video Broadcasting)
  • Artificial Intelligence

NEWS   [top]


  • Leveraging Wearables for Steering and Driver Tracking,C. Karatas, L.Liu, H. Li, J. Liu, Y. Wang, S. Tan, J. Yang, Y. Chen, M. Gruteser, R. Martin, in Proceedings of IEEE International Conference on Computer Communications (INFOCOM), 2016. (pdf),( slides)
  • Determining Driver Phone Use by Exploiting Smartphone Integrated Sensors,Y. Wang, Y. Chen, J. Yang, M. Gruteser, R. P. Martin, H. Liu, L. Liu, C. Karatas, IEEE Transactions on Mobile Computing (IEEE TMC), 2014 (pdf)
  • Printing Multi-Key Touch Interfaces,C.Karatas, M.Gruteser, Ubicomp 2015. (pdf) Honorable Mention Award
  • Toward Detection of Unsafe Driving with Wearables. Luyang Liu, Cagdas Karatas, Hongyu Li, Sheng Tan, Marco Gruteser, Jie Yang, Yingying Chen and Richard Martin. Proceedings of the 2015 Workshop on wearable systems and applications. ACM, 2015.(pdf)
  • Laboratory Validation of Inertial Body Sensors to Detect Cigarette Smoking Arm Movements. BR Raiff, Ç Karataş, EA McClure, D Pompili, TA Walls Electronics 3.1 (2014): 87-110(pdf)

PROJECTS  [top] 


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