KAUST is like an incubation environment that provides all the necessities generously for high-quality and impactful research.

Education and early career

Hasan Erdem Yantır received the Ph.D. degree in Computer Engineering from the University of California, Irvine, the US and the M.Sc. degree in Computer Engineering from Bogazici University, Istanbul, Turkey. He was an engineer at Ericsson from 2011 to 2012 and at Ford Motor Company from 2012 to 2013. He is currently a postdoctoral research fellow at King Abdullah University of Science and Technology, Thuwal, Saudi Arabia.

Research Interests

Hasan’s research interests include artificial intelligence, digital IC design, in-memory computing, computer architectures, and reconfigurable computing.

Publications

A Hybrid Approximate Computing Approach for Associative In-Memory Processors

Hasan Erdem Yantir, Ahmed M. Eltawil, Fadi J. Kurdahi, .

IEEE J. Emerg. Sel. Topics Circuits Syst. 8(4): 758-769 (2018)

Power Performance Tradeoffs Using Adaptive Bit Width Adjustments on Resistive Associative Processors

Rana A. Abdelaal, Hasan Erdem Yantir, Ahmed M. Eltawil, Fadi J. Kurdahi,.

IEEE Trans. on Circuits and Systems 66-I(1): 302-312 (2019)

Power optimization techniques for associative processors

Hasan Erdem Yantir, Ahmed M. Eltawil, Smaïl Niar, Fadi J. Kurdahi

Journal of Systems Architecture - Embedded Systems Design 90: 44-53 (2018

A Two-Dimensional Associative Processor.

Hasan Erdem Yantir, Ahmed M. Eltawil, Fadi J. Kurdahi,

IEEE Trans. VLSI Syst. 26(9): 1659-1670 (2018)

Approximate Memristive In-memory Computing

Hasan Erdem Yantir, Ahmed M. Eltawil, Fadi J. Kurdahi,

ACM Trans. Embedded Comput. Syst. 16(5): 129:1-129:18 (2017)

Efficient Implementations of Multi-pumped Multi-port Register Files in FPGAs

Hasan Erdem Yantir, Salih Bayar, Arda Yurdakul, .

DSD 2013: 185-192

Areas of Expertise and Research Interests

  • AI Accelerators
  • Non-Von Neumann Architectures
  • Neuromorphic Computing
  • In-memory Computing
  • Parallel and Heterogeneous Architectures
  • Reconfigurable Computing

Education Profile

  • Ph.D., Electrical Engineering and Computer Science, University of California, Irvine, California, United States
  • M.Sc., Computer Engineering, Bogazici University, 2013, Istanbul, Turkey
  • B.Sc., Electrical & Electronics Engineering, Yeditepe University, 2011, Istanbul, Turkey
  • B.Sc., Computer Engineering, Yeditepe University, 2011, Istanbul, Turkey