Muhammad Abdullah Hanif


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E-Mail
Phone +43 (1) 58801 - 18203
Fax +43 (1) 58801 - 18297
Address



 Vienna University of Technology
Institute of Computer Engineering
Embedded Computing Systems
Treitlstrasse 3, 2nd floor, 1040 Wien, Austria

Biography

Muhammad Abdullah Hanif is a University Assistant in Vienna University of Technology (TU Wien), Austria. In the past, he has also worked as a Research Associate in Vision Processing (VISpro) lab, Information Technology University (ITU), Pakistan, and as a Lab Engineer in Ghulam Ishaq Khan Institute of Engineering Sciences and Technology (GIKI), Pakistan. He currently holds a Master of Science degree in Electrical Engineering with specialization in Digital Systems and Signal Processing (DSSP) from School of Electrical Engineering and Computer Science (SEECS), National University of Sciences and Technology (NUST), Islamabad, Pakistan, and a Bachelor of Science degree in Electronic Engineering from GIKI, Pakistan. He is also a recipient of President’s Gold Medal for his outstanding academic performance during his MS degree.

Publications

  1. M. T. Teimoori, M. A. Hanif, A. Ejlali, M. Shafique, “AdAM: Adaptive Approximation Management for the Non-Volatile Memory Hierarchies”, IEEE/ACM 21st Design, Automation and Test in Europe Conference (DATE), March, 2018. (Accepted)
  2. M. A. Hanif, R. Hafiz, M. Shafique, “Error Resilience Analysis for Systematically Employing Approximate Computing in Convolutional Neural Networks”, IEEE/ACM 21st Design, Automation and Test in Europe Conference (DATE), March, 2018. (Accepted)
  3. B. S. Prabakaran, S. Rehman, M. A. Hanif, S. Ullah, G. Mazaheri, A. Kumar, M. Shafique, “DeMAS: An Efficient Design Methodology for Building Approximate Adders for FPGA-Based Systems”, IEEE/ACM 21st Design, Automation and Test in Europe Conference (DATE), March, 2018. (Accepted)
  4. M. Shafique, T. Theocharides, C.-S. Bouganis, M. A. Hanif, F. Khalid, R. Hafiz, S. Rehman, “An Overview of Next-Generation Architectures for Machine Learning: Roadmap, Opportunities and Challenges in the IoT Era”, IEEE/ACM 21st Design, Automation and Test in Europe Conference (DATE), March, 2018. (Special Session Paper).
  5. M. A. Hanif, R. Hafiz, O. Hasan and M. Shafique, “QuAd: Design and Analysis of Quality-Area Optimal Low-Latency Approximate Adders”, IEEE/ACM Design Automation Conference (DAC-2017), Austin, TX, USA, To Appear.
  6. M. A. Hanif, A. A. Butt and M. M. Khan, "Detecting riots using action localization," IEEE International Conference on Image Processing (ICIP), Phoenix, AZ, 2016, pp. 3031-3035.

Open-source contributions: