haidar ali jasim

Haider Ali Jasim Alshamary received his Master’s degree in electronics engineering from the University of Technology-Iraq in 2007. He worked as lecturer in the college of engineering at the University of Diyala until 2011. He accomplished his Ph.D degree in electrical and computer engineering from the University of Iowa-USA in May 2017. Currently, he is a faculty member in the communication engineering department at the University of Diyala-Iraq where he is also part of Space Navigation and Control (SNC) research lab. His research interests are massive MIMO, channel estimation and data detection of communication systems, signal processing and electronic circuit design. Haider is a recipient of HCED scholarship in 2011 and Ballard and Seashore fellowship from the University of Iowa in 2016
   
 

 

 

 

 

 

 

Publications

 

Haider Ali Jasim Alshamary, and Weiyu Xu, Efficient Optimal Joint Channel Estimation and Data Detection for Massive MIMO Systems.  International Symposium on Information Theory (ISIT), 2016.

Haider Ali Jasim Alshamary, Tareq Al-Naffouri, Alam Zaib, and Weiyu Xu, Optimal Non-coherent Data Detection for Massive SIMO Wireless Systems with General Constellations: A Polynomial Complexity Solution. Submitted to IEEE Transactions on Signal Processing, 2016

Haider Ali Jasim Alshamary, Tareq Al-Naffouri, Alam Zaib and Weiyu Xu, Optimal non-coherent data detection for massive SIMO wireless systems: A polynomial complexity solution. Proceedings of IEEE Signal Processing and Signal Processing Education Workshop, pp. 172-177, 2015.

Haider Ali Jasim Alshamary, and Weiyu Xu, Maximum-likelihood joint channel estimation and data detection for space time block coded MIMO systems. Proceedings of Asilomar conference on Signals, Systems and Computers, pp. 962-965, 2014.

Babak Hassibi, Morten Hansen, Alexandros Georgios Dimakis, Haider Ali Jasim Alshamary and Weiyu Xu, Optimized Markov Chain Monte Carlo for Signal Detection in MIMO Systems: An Analysis of the Stationary Distribution and Mixing Time. IEEE Transactions on Signal Processing. vol. 62, no. 17, pp. 4436-4450, 2014

 

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