Kurzvita / CV

2015Lecturer,
Federal University of Petroleum Resources, Nigeria
2015M.Sc. Systems Engineering,
University of Lagos, Nigeria
2013Graduate Assistant,
Federal University of Petroleum Resources, Nigeria
2011B.Eng. Computer Engineering,
Faculty of Engineering, Nigeria,
University of Benin, Nigeria

Veröffentlichungen / Publications

  • Tanshi, F.; Deng, Q.; Söffker, D.: Design of a lane change maneuver assistance system based on individualized online driver intention recognition: first steps. 1st IEEE International Conference on Human-Machine Systems, 2020, Rome, Italy, 2020, submitted.
  • Deng, Q.; Saleh, M.; Tanshi, F.; Söffker, D.: Online Intention Recognition Applied to Real Simulated Driving Maneuvers. IEEE Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA 2020), British Columbia, Canada, 2020, submitted.
  • He, C.; Tanshi, F.; Söffker, D.: Human online reliability estimation applied to real driving maneuvers. 2020 IEEE Conference on Cognitive and Computational Aspects of Situation management (CogSIMA), University of Victoria, British Columbia, Canada, May 4-7, 2020, submitted.
  • Tanshi, F.; Dargahi Nobari, K.; Wang, J.; Söffker, D.: Design of Conditional Driving Automation Variables to Improve Takeover Performance. 10th IFAC Symposium on Intelligent Autonomous Vehicles, Gdansk, Poland, 2019, pp. 170-175.
  • Tanshi, F.; Söffker, D.: Modeling drivers takeover behavior depending on the criticality of driving situations and the complexity of secondary tasks. IEEE Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA) 2019, Las Vegas, USA, April 8-11, 2019.
  • , [Link]
  • Tanshi, F.; Söffker, D.: Understanding the Dependencies Of Human Takeover Behavior from Various Dimensions of Criticality. 8. Interdisziplinärer Workshop Kognitive Systeme, Duisburg, Germany, March 26-28, 2019.
  • Tanshi, F.; Söffker, D.: Modeling of takeover variables with respect to driver situation awareness and workload for intelligent driver assistance. 2019 IEEE Intelligent Vehicles Symposium (IV'19), Paris, France, 2019.
  • , [Link]
  • Tanshi, F.; Sarkheyli-Hägele, A.; Wang, J.; Söffker, D.: Analysis of Driver Assistance and Supervision Approaches with Respect to Research Goals and Cognitive Efficiency. 7. Interdisziplinärer Workshop Kognitive Systeme: Mensch, Teams, Systeme und Automaten, Braunschweig (DLR), June 21-22, 2018.