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D-Index & Metrics

Electronics and Electrical Engineering

D-Index
32
Citations
3343
World Ranking
6428
National Ranking
2107

Overview

Shaahin Angizi is affiliated with the New Jersey Institute of Technology in the United States. Their research primarily spans the fields of Engineering and Computer Science, with significant contributions in Electrical and Electronic Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition, Hardware and Architecture, and Computer Networks and Communications.

The scientist's work focuses on several key areas:

  • Advanced Memory and Neural Computing
  • Advanced Neural Network Applications
  • Ferroelectric and Negative Capacitance Devices
  • CCD and CMOS Imaging Sensors
  • Semiconductor Materials and Devices
  • Parallel Computing and Optimization Techniques
  • Advancements in Semiconductor Devices and Circuit Design

Shaahin Angizi has published extensively, with notable recent papers including:

  • "AppCiP: Energy-Efficient Approximate Convolution-in-Pixel Scheme for Neural Network Acceleration," 2023, IEEE Journal on Emerging and Selected Topics in Circuits and Systems
  • "Hybrid Spin-CMOS Polymorphic Logic Gate With Application in In-Memory Computing," 2020, IEEE Transactions on Magnetics
  • "Non-Volatile Approximate Arithmetic Circuits Using Scalable Hybrid Spin-CMOS Majority Gates," 2021, IEEE Transactions on Circuits and Systems I Regular Papers
  • "LT-PIM: An LUT-Based Processing-in-DRAM Architecture With RowHammer Self-Tracking," 2022, IEEE Computer Architecture Letters
  • "RNSiM: Efficient Deep Neural Network Accelerator Using Residue Number Systems," 2021, 2021 IEEE/ACM International Conference On Computer Aided Design (ICCAD)

Frequent co-authors with Shaahin Angizi include:

  • Arman Roohi
  • Sepehr Tabrizchi
  • Mehrdad Morsali
  • Ranyang Zhou
  • Deliang Fan

The venues where Shaahin has published most frequently include:

  • arXiv (Cornell University)
  • IEEE Transactions on Emerging Topics in Computing
  • IEEE Journal on Emerging and Selected Topics in Circuits and Systems
  • IEEE Computer Architecture Letters
  • IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems

Best Publications

  • Novel Robust Single Layer Wire Crossing Approach for Exclusive OR Sum of Products Logic Design with Quantum-Dot Cellular Automata

    Shaahin Angizi;Esam Alkaldy;Nader Bagherzadeh;Keivan Navi

  • Designing efficient QCA logical circuits with power dissipation analysis

    Shadi Sheikhfaal;Shaahin Angizi;Soheil Sarmadi;Mohammad Hossein Moaiyeri

  • Design and evaluation of new majority gate-based RAM cell in quantum-dot cellular automata

    Shaahin Angizi;Soheil Sarmadi;Samira Sayedsalehi;Keivan Navi

  • Towards single layer quantum-dot cellular automata adders based on explicit interaction of cells

    Firdous Ahmad;Ghulam Mohiuddin Bhat;Hossein Khademolhosseini;Saeid Azimi

  • Towards ultra-efficient QCA reversible circuits

    Amir Mokhtar Chabi;Arman Roohi;Hossein Khademolhosseini;Shadi Sheikhfaal

  • Efficient QCA Exclusive-or and Multiplexer Circuits Based on a Nanoelectronic-Compatible Designing Approach

    Amir Mokhtar Chabi;Samira Sayedsalehi;Shaahin Angizi;Keivan Navi

  • MRIMA: An MRAM-Based In-Memory Accelerator

    Shaahin Angizi;Zhezhi He;Amro Awad;Deliang Fan

  • CMP-PIM: an energy-efficient comparator-based processing-in-memory neural network accelerator

    Shaahin Angizi;Zhezhi He;Adnan Siraj Rakin;Deliang Fan

  • Designing quantum-dot cellular automata counters with energy consumption analysis

    Shaahin Angizi;Mohammad Hossein Moaiyeri;Shohreh Farrokhi;Keivan Navi

  • Restoring and non-restoring array divider designs in Quantum-dot Cellular Automata

    Samira Sayedsalehi;Mostafa Rahimi Azghadi;Shaahin Angizi;Keivan Navi

  • A Parity-Preserving Reversible QCA Gate with Self-Checking Cascadable Resiliency

    Arman Roohi;Ramtin Zand;Shaahin Angizi;Ronald F. DeMara

  • An efficient majority-based compressor for approximate computing in the nano era

    Mohammad Hossein Moaiyeri;Farnaz Sabetzadeh;Shaahin Angizi

  • AlignS: A Processing-In-Memory Accelerator for DNA Short Read Alignment Leveraging SOT-MRAM

    Shaahin Angizi;Jiao Sun;Wei Zhang;Deliang Fan

  • Design of an ultra-efficient reversible full adder-subtractor in quantum-dot cellular automata

    Elham Taherkhani;Mohammad Hossein Moaiyeri;Shaahin Angizi

  • Energy Efficient In-Memory Binary Deep Neural Network Accelerator with Dual-Mode SOT-MRAM

    Deliang Fan;Shaahin Angizi

  • GraphS: A Graph Processing Accelerator Leveraging SOT-MRAM

    Shaahin Angizi;Jiao Sun;Wei Zhang;Deliang Fan

  • Quantum-dot cellular automata circuits with reduced external fixed inputs

    Milad Bagherian Khosroshahy;Mohammad Hossein Moaiyeri;Shaahin Angizi;Nader Bagherzadeh

  • Design and Evaluation of a Spintronic In-Memory Processing Platform for Nonvolatile Data Encryption

    Shaahin Angizi;Zhezhi He;Nader Bagherzadeh;Deliang Fan

  • IMCE: energy-efficient bit-wise in-memory convolution engine for deep neural network

    Shaahin Angizi;Zhezhi He;Farhana Parveen;Deliang Fan

  • Majority-Based Spin-CMOS Primitives for Approximate Computing

    Shaahin Angizi;Honglan Jiang;Ronald F. DeMara;Jie Han

  • Accelerating Deep Neural Networks in Processing-in-Memory Platforms: Analog or Digital Approach?

    Shaahin Angizi;Zhezhi He;Dayane Reis;Xiaobo Sharon Hu

  • ReDRAM: A Reconfigurable Processing-in-DRAM Platform for Accelerating Bulk Bit-Wise Operations

    Shaahin Angizi;Deliang Fan

  • PIMA-logic: a novel processing-in-memory architecture for highly flexible and energy-efficient logic computation

    Shaahin Angizi;Zhezhi He;Deliang Fan

Frequent Co-Authors

Deliang Fan
Deliang Fan Johns Hopkins University
Keivan Navi
Keivan Navi Shahid Beheshti University
Mohammad Hossein Moaiyeri
Mohammad Hossein Moaiyeri Shahid Beheshti University
Jie Han
Jie Han University of Alberta
Peter A. Dowben
Peter A. Dowben University of Nebraska–Lincoln
Xiaobo Sharon Hu
Xiaobo Sharon Hu University of Notre Dame
Michael Niemier
Michael Niemier University of Notre Dame

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