Tiberiu-Teodor COCIAȘ

Associate professor
Department of Automation and Information Technology 
Faculty of Electrical Engineering and Computer Science 

Contact:

Mihai Viteazul 5, Brașov, Romania
Building V, Room VIII8
Phone/Fax : +40 268 418 836
E-mail: tiberiu.cocias@unitbv.ro

 CV

Research interests:

  • Robotics
  • Computer vision
  • Artificial intelligence
  • Embedded systems
  • 3D volumetric reconstruction
  • Computer programming and programming languages

Publications (selection):

  • T.T. Cocias, A. Razvant, S.M. Grigorescu, “GFPNet: A Deep Network for Learning Shape Completion in Generic Fitted Primitives“. IEEE Robotics Automation Letters 5(3): 4493-4500 (2020)
  • S.M. Grigorescu, T.T. Cocias, B. Trasnea, A. Margheri, F. Lombardi and L. Aniello “Cloud2Edge Elastic AI Framework for Prototyping and Deployment of AI Inference Engines in Autonomous Vehicles“, Sensors 2020, 20(19), 5450; doi:10.3390/s20195450S.M. 
  • S.M. Grigorescu, B. Trasnea, T.T. Cociaș and G. Macesanu, “A Survey of Deep Learning Techniques for Autonomous Driving”, Journal of Field Robotics, 2019.
  • S.M. Grigorescu, B. Trasnea, L. Marina, A. Vasilcoi and T.T. Cociaș, “NeuroTrajectory: A Neuroevolutionary Approach to Local State Trajectory Learning for Autonomous Vehicles”, IEEE Robotics and Automation Letters, vol. 4, no. 4, pp. 3441-3448, Oct. 2019.
  • T.T. Cociaş, F. Moldoveanu and S.M. Grigorescu, “Generic Fitted Shapes (GFS): Volumetric Object Segmentation in Service Robotics”, Robotics and Autonomous Systems, Elsevier, Vol. 61, No. 9, DOI: 10.1016/j.robot.2013.04.020, ISSN: 0921-8890, 2013 (ISI Journal).