World's Best Scientists 2026 revealed!
Ali Afzali-Kusha

Ali Afzali-Kusha

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
33
Citations
4769
World Ranking
6049
National Ranking
50

Ali Afzali-Kusha publication distribution in Electronics and Electrical Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Ali Afzali-Kusha sits on this spectrum.

34–53 publications: 24 scientists 54–73 publications: 52 scientists 74–93 publications: 114 scientists 94–113 publications: 203 scientists 114–133 publications: 269 scientists 134–153 publications: 355 scientists 154–173 publications: 403 scientists 174–193 publications: 445 scientists 194–213 publications: 430 scientists 214–233 publications: 431 scientists 234–253 publications: 399 scientists 254–273 publications: 366 scientists 274–293 publications: 335 scientists 294–313 publications: 300 scientists 314–333 publications: 276 scientists 334–353 publications: 250 scientists 354–373 publications: 214 scientists 374–393 publications: 187 scientists 394–413 publications: 152 scientists 414–433 publications: 169 scientists 434–453 publications: 147 scientists 454–473 publications: 111 scientists 474–493 publications: 117 scientists 494–513 publications: 103 scientists 514–533 publications: 99 scientists 534–553 publications: 92 scientists 554–573 publications: 75 scientists 574–593 publications: 58 scientists 594–613 publications: 69 scientists 614–633 publications: 50 scientists 634–653 publications: 62 scientists 654–673 publications: 54 scientists 674–693 publications: 44 scientists 694–713 publications: 37 scientists 714–733 publications: 28 scientists 734–753 publications: 26 scientists 754–773 publications: 26 scientists 774–793 publications: 19 scientists 794–813 publications: 23 scientists 814–833 publications: 20 scientists 834–853 publications: 16 scientists 854–873 publications: 20 scientists 874–893 publications: 11 scientists 894–913 publications: 11 scientists 914–933 publications: 16 scientists 934–953 publications: 13 scientists 954–973 publications: 10 scientists 974–993 publications: 11 scientists 994–1,013 publications: 9 scientists 1,014–1,033 publications: 9 scientists 1,034–1,053 publications: 10 scientists 1,054–1,064 publications: 6 scientists 1,065+ publications: 99 scientists
34 publications 1,065+

This scientist: 326 publications — 63rd percentile

63% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,065 publications or more.

Ali Afzali-Kusha D-index placement in Electronics and Electrical Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Ali Afzali-Kusha sits on this spectrum.

30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 262 scientists 34 D-Index: 244 scientists 35 D-Index: 236 scientists 36 D-Index: 211 scientists 37 D-Index: 220 scientists 38 D-Index: 214 scientists 39 D-Index: 214 scientists 40 D-Index: 205 scientists 41 D-Index: 187 scientists 42 D-Index: 194 scientists 43 D-Index: 201 scientists 44 D-Index: 155 scientists 45 D-Index: 189 scientists 46 D-Index: 148 scientists 47 D-Index: 160 scientists 48 D-Index: 134 scientists 49 D-Index: 130 scientists 50 D-Index: 141 scientists 51 D-Index: 156 scientists 52 D-Index: 108 scientists 53 D-Index: 130 scientists 54 D-Index: 112 scientists 55 D-Index: 97 scientists 56 D-Index: 111 scientists 57 D-Index: 102 scientists 58 D-Index: 108 scientists 59 D-Index: 120 scientists 60 D-Index: 103 scientists 61 D-Index: 93 scientists 62 D-Index: 92 scientists 63 D-Index: 74 scientists 64 D-Index: 77 scientists 65 D-Index: 73 scientists 66 D-Index: 64 scientists 67 D-Index: 69 scientists 68 D-Index: 60 scientists 69 D-Index: 39 scientists 70 D-Index: 57 scientists 71 D-Index: 59 scientists 72 D-Index: 46 scientists 73 D-Index: 49 scientists 74 D-Index: 38 scientists 75 D-Index: 35 scientists 76 D-Index: 32 scientists 77 D-Index: 35 scientists 78 D-Index: 31 scientists 79 D-Index: 22 scientists 80 D-Index: 34 scientists 81 D-Index: 31 scientists 82 D-Index: 34 scientists 83 D-Index: 23 scientists 84 D-Index: 18 scientists 85 D-Index: 30 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 20 scientists 89 D-Index: 8 scientists 90 D-Index: 17 scientists 91 D-Index: 7 scientists 92 D-Index: 14 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 12 scientists 97 D-Index: 10 scientists 98 D-Index: 10 scientists 99 D-Index: 12 scientists 100 D-Index: 16 scientists 101 D-Index: 5 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 8 scientists 105 D-Index: 9 scientists 106 D-Index: 13 scientists 107 D-Index: 4 scientists 108 D-Index: 5 scientists 109 D-Index: 10 scientists 110 D-Index: 8 scientists 111+ D-Index: 96 scientists
30 D-Index 111+

This scientist: 33 D-Index — 14th percentile

14% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

Overview

Ali Afzali-Kusha is affiliated with the University of Tehran in Iran. Their research primarily spans engineering and computer science, with a strong focus on electrical and electronic engineering. This expertise is reflected in their substantial publication record, which includes 38 works in engineering and 27 in computer science.

Their work covers several subfields of study. These include:

  • Electrical and Electronic Engineering
  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Cellular and Molecular Neuroscience

Ali Afzali-Kusha's research interests concentrate on advanced technological topics such as:

  • Advanced Memory and Neural Computing
  • Ferroelectric and Negative Capacitance Devices
  • Advanced Neural Network Applications
  • Neuroscience and Neural Engineering
  • CCD and CMOS Imaging Sensors
  • Semiconductor materials and devices
  • Advanced Data Storage Technologies

Their recent publications feature a range of subjects within these domains. Selected papers include:

  • "Circuit-Level Techniques for Logic and Memory Blocks in Approximate Computing Systemsx," 2020, Proceedings of the IEEE
  • "Distributing DNN training over IoT edge devices based on transfer learning," 2021, Neurocomputing
  • "Federated learning by employing knowledge distillation on edge devices with limited hardware resources," 2023, Neurocomputing
  • "Reliability Enhancement of Inverter-Based Memristor Crossbar Neural Networks Using Mathematical Analysis of Circuit Non-Idealities," 2021, IEEE Transactions on Circuits and Systems I Regular Papers
  • "SySCIM: SystemC-AMS Simulation of Memristive Computation In-Memory," 2022, 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE)

Ali Afzali-Kusha frequently publishes in several venues, with notable publication counts in these outlets:

  • arXiv (Cornell University)
  • IEEE Transactions on Circuits and Systems I Regular Papers
  • ACM Transactions on Design Automation of Electronic Systems
  • IEEE Transactions on Device and Materials Reliability
  • Neurocomputing

The scientist collaborates regularly with a number of co-authors, including:

  • Mehdi Kamal
  • Massoud Pedram
  • Shaghayegh Vahdat
  • Shiva Taghipour
  • Rahebeh Niaraki Asli

Best Publications

  • Dual-Quality 4:2 Compressors for Utilizing in Dynamic Accuracy Configurable Multipliers

    Omid Akbari;Mehdi Kamal;Ali Afzali-Kusha;Massoud Pedram

  • RoBA Multiplier: A Rounding-Based Approximate Multiplier for High-Speed yet Energy-Efficient Digital Signal Processing

    Reza Zendegani;Mehdi Kamal;Milad Bahadori;Ali Afzali-Kusha

  • RAP-CLA: A Reconfigurable Approximate Carry Look-Ahead Adder

    Omid Akbari;Mehdi Kamal;Ali Afzali-Kusha;Massoud Pedram

  • TOSAM: An Energy-Efficient Truncation- and Rounding-Based Scalable Approximate Multiplier

    Shaghayegh Vahdat;Mehdi Kamal;Ali Afzali-Kusha;Massoud Pedram

  • Substrate Noise Coupling in SoC Design: Modeling, Avoidance, and Validation

    A. Afzali-Kusha;M. Nagata;N.K. Verghese;D.J. Allstot

  • Ground plane fin-shaped field effect transistor (GP-FinFET): A FinFET for low leakage power circuits

    Mehdi Saremi;Ali Afzali-Kusha;Saeed Mohammadi

  • Design and Analysis of Two Low-Power SRAM Cell Structures

    G. Razavipour;A. Afzali-Kusha;M. Pedram

  • EDXY - A low cost congestion-aware routing algorithm for network-on-chips

    P. Lotfi-Kamran;A. M. Rahmani;M. Daneshtalab;A. Afzali-Kusha

  • Low-power single- and double-edge-triggered flip-flops for high-speed applications

    S.H. Rasouli;A. Khademzadeh;A. Afzali-Kusha;M. Nourani

  • Evaluation of pseudo adaptive XY routing using an object oriented model for NOC

    M. Dehyadgari;M. Nickray;A. Afzali-kusha;Z. Navabi

  • Data Encoding Techniques for Reducing Energy Consumption in Network-on-Chip

    Nima Jafarzadeh;Maurizio Palesi;Ahmad Khademzadeh;Ali Afzali-Kusha

  • BZ-FAD: A Low-Power Low-Area Multiplier Based on Shift-and-Add Architecture

    M. Mottaghi-Dastjerdi;A. Afzali-Kusha;M. Pedram

  • Block-Based Carry Speculative Approximate Adder for Energy-Efficient Applications

    Farhad Ebrahimi-Azandaryani;Omid Akbari;Mehdi Kamal;Ali Afzali-Kusha

  • Approximate Reverse Carry Propagate Adder for Energy-Efficient DSP Applications

    Masoud Pashaeifar;Mehdi Kamal;Ali Afzali-Kusha;Massoud Pedram

  • A near-threshold 7T SRAM cell with high write and read margins and low write time for sub-20nm FinFET technologies

    Mohammad Ansari;Hassan Afzali-Kusha;Behzad Ebrahimi;Zainalabedin Navabi

  • A Novel Synthetic Traffic Pattern for Power/Performance Analysis of Network-on-Chips Using Negative Exponential Distribution

    Amir-Mohammad Rahmani;Ali Afzali-Kusha;Massoud Pedram

  • Low-distance path-based multicast routing algorithm for network-on-chips

    Masoud Daneshtalab;Masoumeh Ebrahimi;Siamak Mohammadi;Ali Afzali-Kusha

  • High-Speed and Energy-Efficient Carry Skip Adder Operating Under a Wide Range of Supply Voltage Levels

    Milad Bahadori;Mehdi Kamal;Ali Afzali-Kusha;Massoud Pedram

  • An energy efficient routing protocol for cluster-based wireless sensor networks using ant colony optimization

    A.-A. Salehpour;B. Mirmobin;A. Afzali-Kusha;S. Mohammadi

  • Res-DNN: A Residue Number System-Based DNN Accelerator Unit

    Nasim Samimi;Mehdi Kamal;Ali Afzali-Kusha;Massoud Pedram

  • TruncApp: A truncation-based approximate divider for energy efficient DSP applications

    Shaghayegh Vahdat;Mehdi Kamal;Ali Afzali-Kusha;Massoud Pedram

  • SEERAD: A high speed yet energy-efficient rounding-based approximate divider

    Reza Zendegani;Mehdi Kamal;Arash Fayyazi;Ali Afzali-Kusha

Frequent Co-Authors

Massoud Pedram
Massoud Pedram University of Southern California
Mehrdad Nourani
Mehrdad Nourani The University of Texas at Dallas
Masoud Daneshtalab
Masoud Daneshtalab Mälardalen University
Hamid Soltanian-Zadeh
Hamid Soltanian-Zadeh University of Tehran
Hamid Mahmoodi
Hamid Mahmoodi San Francisco State University
Ali Khakifirooz
Ali Khakifirooz Intel (United States)
Caro Lucas
Caro Lucas University of Tehran
Davood Shahrjerdi
Davood Shahrjerdi New York University
Muhammad Shafique
Muhammad Shafique New York University Abu Dhabi
Riku Jantti
Riku Jantti Aalto University

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Combining technical expertise with management and personal development credentials enhances flexibility and employability in today’s evolving job market.

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