Yad Tahir

Assistant Professor
Department of Information Technology
  • Ph.D. Imperial College London 
    M.S. Heriot-Watt University
    B.S. University of Sulaimani
  • Email: [email protected]
  • Office:

Profile

Yad Tahir works as an assistant professor in the IT department at AUIS.  He finished his Ph.D. in Computing at Imperial College London. He holds an M.S. in Software Engineering with distinction from Heriot-Watt University, and a B.S. in Computer Science with honors from University of Sulaimani. He was awarded the 2010 Alison Cawsey prize as the most deserving M.S. student in all of Heriot-Watt University. Prior to joining the faculty, he was a research assistant in the AESE group at Imperial College. He also has over five years of experience in the IT industry, and has collaborated with Intel Collaborative Research Institute, ICRI. He is known for his sharp programming skills and was the winner of the 2015 Intel IoT Hackathon, London.

Tahir is an active member of IEEE. He has participated and been published in top rated conferences/journals in computer communications including: IEEE TMC and IEEE INFOCOM.  His research centers on highly decentralised algorithms, networking protocols, cross-layer optimizations to improve the performance of computer networks, and sensing systems. His research interests are in the areas of Resource Management, Network Control and Optimizations, Internet of Things, and Software Engineering.

He always aims to further expand his collaboration network. If you are interested, please feel free to contact him at yad.tahir[at]auis.edu.krd.

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Publications

  • Y. Tahir, S. Yang, and J. McCann. “BRPL: Backpressure RPL for High-throughput and Mobile IoTs” IEEE Trans. Mobile Comput., to Appear. DOI: 10.1109/TMC.2017.2705680
  • S. Yang, Y. Tahir, P. Chen, A. Marshall, and J. McCann. “Distributed Optimization in Energy Harvesting Sensor Networks with Dynamic In-network Data Processing” in Proc. IEEE INFOCOM, 2016. DOI: 10.1109/INFOCOM.2016.7524475
  • S. Yang, U. Adeel, Y. Tahir and J. McCann. “Practical Opportunistic Data Collection in Wireless Sensor Networks with Mobile Sinks” IEEE Trans. Mobile Comput., 2016. DOI: 10.1109/TMC.2016.2595574
  • Y. Tahir, S. Yang, A. Koliousis, and J. McCann. “UDRF: Multi-resource Fairness for Complex Jobs with Placement Constraints” in Proc. IEEE Globecom, 2015. DOI: 10.1109/GLOCOM.2015.7417010
  • Y. Tahir, S. Yang, U. Adeel and J. McCann. “Symbiot: Congestion-driven Multi-resource Fairness for Multi-User Sensor Networks” in Proc. IEEE HPCC, 2015. DOI: 10.1109/HPCC-CSS-ICESS.2015.23