Foto von Sardar Ateeq Ur Rehman

M.Sc. Sardar Ateeq Ur Rehman

Technische Universität München

Lehrstuhl für Wasserbau und Wasserwirtschaft (Prof. Rutschmann)

Postadresse

Postal:
Arcisstr. 21
80333 München

Higher Education

  • B.Sc. Engineering, BZ University Multan, 2005-09
  • M.Sc. Engineering, CEWRE, UET Lahore, 2009-11
  • PhD student, Chair of Hydraulic and Water Resources Engineering, TU Munich, since 2015 to date

Professional Experience

  • Junior Hydraulic Engineer at 4,320 MW Dasu Hydropower Project, 2011-13
  • Junior Hydraulic Engineer at 2,200 MW Pattan Hydropower Project, 2013-14

Publications

  • Ateeq-Ur-Rehman, S.; Bui, M. D.; Hasson, S.; Rutschmann, P., An Innovative Approach to Minimizing Uncertainty in Sediment Load Boundary Conditions for Modelling Sedimentation in Reservoirs. Water 2018, 10, (10) 1-27. doi.org/10.3390/w10101411
  • Ateeq-Ur-Rehman, S.; Bui, M. D.; Rutschmann, P., Improvement of predictive reality of a hydro-morphodynamic model in the Tarbela reservoir. In 19. Wasserbau-Symposium, Zenz, G., Ed. Freunde des Lehrstuhls für Wasserbau und Wasserwirtschaft, TU Graz: Austria, 2018, ISBN; 978-3-85125-638-3, 403-408.
  • Ateeq-Ur-Rehman, S.; Bui, M. D.; Rutschmann, P., Variability and trend detection in the sediment load of the Upper Indus River. Water 2018, 10, (1), 1-24. doi.org/10.3390/w10010016
  • Ateeq-Ur-Rehman, S.; Bui, M. D.; Rutschmann, P., Development of a wavelet-ANN model for estimating suspended sediment load in the upper Indus River. Submitted to International Journal of River Basin Management.
  • Ateeq-Ur-Rehman, S.; Bui, M. D.; Rutschmann, P., Detection and estimation of sediment transport trends in the upper Indus River during the last 50 years. In Hydropower: A Vital Source of Sustainable Energy for Pakistan, Sarwar, K., Ed. Center of Excellence in Water Resources Engineering: Lahore, 2017. www.cewre.edu.pk/News%20&%20Events/Procd.pdf
  • Bui, M. D.; Kaveh, K.; Ateeq-Ur-Rehman, S.; Rutschmann, P., Artificial neural networks for modelling sediment transport in rivers. In Proceedings of the 20th Vietnam Conference on Fluid Mechanics, Can-Tho, Vietnam, 2017; p 15.
  • Ateeq-Ur-Rehman, S.; Bui, M. D.; Riaz, Z.; Rutschmann, P., Estimation of Sediment Yield for Dasu Hydropower Project Using Artificial Neural Networks. In 18. Wasserbau-Symposium, Rutschmann, P., Ed. Freunde des Lehrstuhls für Wasserbau und Wasserwirtschaft, TU Munich: Wallgau, Germany, 2016; Vol. Nr. 134/2016, 326-337. mediatum.ub.tum.de/1346400
  • Ateeq-Ur-Rehman, S.; Riaz, Z.; Bui, M. D.; Rutschmann, P., Application of a 1-D numerical model for sediment management in Dasu Hydropower Project. In Proceedings of the 14th International Conference on Environmental Science and Technology, Lekkas, D. F., Ed. Global CEST: Rohdes, Greece, 2015. cest2015.gnest.org/papers/cest2015_01383_oral_paper.pdf