World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
32
Citations
3966
World Ranking
6357
National Ranking
2094

Overview

Fatih Hamzaoglu is affiliated with Intel in the United States and has a research focus primarily in Engineering and Computer Science. Their work spans subfields including Electrical and Electronic Engineering, Materials Chemistry, Hardware and Architecture, Computer Networks and Communications, and Computer Vision and Pattern Recognition.

Their research concentrates on topics such as Advanced Memory and Neural Computing, Ferroelectric and Negative Capacitance Devices, Semiconductor Materials and Devices, MXene and MAX Phase Materials, Ferroelectric and Piezoelectric Materials, Parallel Computing and Optimization Techniques, and Advanced Data Storage Technologies.

Fatih Hamzaoglu has contributed to multiple papers published in notable venues. Recent publications include:

  • FeRAM using Anti-ferroelectric Capacitors for High-speed and High-density Embedded Memory, 2021, 2021 IEEE International Electron Devices Meeting (IEDM)
  • Gain-Cell CIM: Leakage and Bitline Swing Aware 2T1C Gain-Cell eDRAM Compute in Memory Design with Bitline Precharge DACs and Compact Schmitt Trigger ADCs, 2022, 2022 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits)
  • Hafnia-Based FeRAM: A Path Toward Ultra-High Density for Next-Generation High-Speed Embedded Memory, 2022, 2022 International Electron Devices Meeting (IEDM)
  • Advances in Microprocessor Cache Architectures Over the Last 25 Years, 2021, IEEE Micro
  • eDRAM-CIM: Reconfigurable Charge Domain Compute-In-Memory Design With Embedded Dynamic Random Access Memory Array Realizing Adaptive Data Converters, 2023, IEEE Journal of Solid-State Circuits

The venues where these works have appeared frequently include:

  • IEEE Journal of Solid-State Circuits
  • 2022 International Electron Devices Meeting (IEDM)
  • 2021 IEEE International Electron Devices Meeting (IEDM)
  • 2022 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits)
  • IEEE Micro

Frequent collaborators of Fatih Hamzaoglu include:

  • Sou-Chi Chang
  • Hai Li
  • Ian A. Young
  • Shanshan Xie
  • Can Ni

The scientist's research often addresses advanced memory technologies, particularly in the context of ferroelectric materials and compute-in-memory designs, as reflected in their published work. This aligns with their engagement in both semiconductor device innovation and architectural considerations within electronic systems.

Best Publications

  • A 3-GHz 70-mb SRAM in 65-nm CMOS technology with integrated column-based dynamic power supply

    Kevin Zhang;U. Bhattacharya;Zhanping Chen;F. Hamzaoglu

  • SRAM design on 65-nm CMOS technology with dynamic sleep transistor for leakage reduction

    K. Zhang;U. Bhattacharya;Zhanping Chen;F. Hamzaoglu

  • A 4.6GHz 162Mb SRAM design in 22nm tri-gate CMOS technology with integrated active V MIN -enhancing assist circuitry

    Eric Karl;Yih Wang;Yong-Gee Ng;Zheng Guo

  • Circuit-level techniques to control gate leakage for sub-100 nm CMOS

    Fatih Hamzaoglu;Mircea R. Stan

  • 13.2 A 3.6Mb 10.1Mb/mm 2 Embedded Non-Volatile ReRAM Macro in 22nm FinFET Technology with Adaptive Forming/Set/Reset Schemes Yielding Down to 0.5V with Sensing Time of 5ns at 0.7V

    Pulkit Jain;Umut Arslan;Meenakshi Sekhar;Blake C. Lin

  • MRAM as Embedded Non-Volatile Memory Solution for 22FFL FinFET Technology

    O. Golonzka;J. G. Alzate;U. Arslan;M. Bohr

  • 13.3 A 7Mb STT-MRAM in 22FFL FinFET Technology with 4ns Read Sensing Time at 0.9V Using Write-Verify-Write Scheme and Offset-Cancellation Sensing Technique

    Liqiong Wei;Juan G. Alzate;Umut Arslan;Justin Brockman

  • A 1.1 GHz 12 $\mu$ A/Mb-Leakage SRAM Design in 65 nm Ultra-Low-Power CMOS Technology With Integrated Leakage Reduction for Mobile Applications

    Yih Wang;Hong Jo Ahn;U. Bhattacharya;Zhanping Chen

  • 16.2 eDRAM-CIM: Compute-In-Memory Design with Reconfigurable Embedded-Dynamic-Memory Array Realizing Adaptive Data Converters and Charge-Domain Computing

    Shanshan Xie;Can Ni;Aseem Sayal;Pulkit Jain

  • Multi-Phase 1 GHz Voltage Doubler Charge Pump in 32 nm Logic Process

    D. Somasekhar;B. Srinivasan;G. Pandya;F. Hamzaoglu

  • Dual-V/sub T/ SRAM cells with full-swing single-ended bit line sensing for high-performance on-chip cache in 0.13 /spl mu/m technology generation

    Fatih Hamzaoglu;Yibin Te;Ali Keshavarzi;Kevin Zhang

  • SRAM design on 65nm CMOS technology with integrated leakage reduction scheme

    K. Zhang;U. Bhattacharya;Z. Chen;F. Hamzaoglu

  • A 3.8 GHz 153 Mb SRAM Design With Dynamic Stability Enhancement and Leakage Reduction in 45 nm High-k Metal Gate CMOS Technology

    F. Hamzaoglu;K. Zhang;Yih Wang;H.J. Ahn

  • A 3-GHz 70MB SRAM in 65nm CMOS technology with integrated column-based dynamic power supply

    Unknown

  • 2 MB Array-Level Demonstration of STT-MRAM Process and Performance Towards L4 Cache Applications

    J.G. Alzate;P. Hentges;R. Jahan;A. Littlejohn

  • A 4.0 GHz 291Mb voltage-scalable SRAM design in 32nm high-κ metal-gate CMOS with integrated power management

    Y. Wang;U. Bhattacharya;F. Hamzaoglu;P. Kolar

  • A 4.6 GHz 162 Mb SRAM Design in 22 nm Tri-Gate CMOS Technology With Integrated Read and Write Assist Circuitry

    E. Karl;Yih Wang;Yong-Gee Ng;Zheng Guo

  • A 32 nm High-k Metal Gate SRAM With Adaptive Dynamic Stability Enhancement for Low-Voltage Operation

    Hyunwoo Nho;Pramod Kolar;Fatih Hamzaoglu;Yih Wang

  • A 256-Kb Dual- ${V}_{ m CC}$ SRAM Building Block in 65-nm CMOS Process With Actively Clamped Sleep Transistor

    M. Khellah;D. Somasekhar;Y. Ye;Nam Sung Kim

  • Analysis of dual-V/sub T/ SRAM cells with full-swing single-ended bit line sensing for on-chip cache

    F. Hamzaoglu;Y. Ye;A. Keshavarzi;K. Zhang

  • Non-Volatile RRAM Embedded into 22FFL FinFET Technology

    O. Golonzka;U. Arslan;P. Bai;M. Bohr

  • A 1.1 GHz 12 μA/Mb-Leakage SRAM Design in 65 nm Ultra-Low-Power CMOS Technology With Integrated Leakage Reduction for Mobile Applications

    Yih Wang;Hong Jo Ahn;Uddalak Bhattacharya;Zhanping Chen

Frequent Co-Authors

Kevin Zhang
Kevin Zhang Taiwan Semiconductor Manufacturing Company (Taiwan)
Muhammad M. Khellah
Muhammad M. Khellah Intel (United States)
Vivek De
Vivek De Intel (United States)
Mark T. Bohr
Mark T. Bohr Intel (United States)
Tahir Ghani
Tahir Ghani Intel (United States)
Dinesh Somasekhar
Dinesh Somasekhar Intel (United States)
Mircea R. Stan
Mircea R. Stan University of Virginia
jack t kavalieros
jack t kavalieros Intel (United States)
Tanay Karnik
Tanay Karnik Intel (United States)
Siva G. Narendra
Siva G. Narendra Tyfone, Inc.

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