World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
46
Citations
7865
World Ranking
6892
National Ranking
3020

Research.com Recognitions

  • 2014 - IEEE Fellow For contributions to the design and analysis of coarse-grained reconfigurable processor architectures

Overview

Nader Bagherzadeh is affiliated with the University of California, Irvine in the United States. Their research spans key areas in engineering and computer science, with a focus on electrical and electronic engineering, hardware and architecture, and artificial intelligence. The scientist's work also covers topics connected to computer vision and pattern recognition as well as cardiology and cardiovascular medicine.

The primary fields of study for Bagherzadeh include:

  • Engineering
  • Computer Science

Within these fields, their subfields of expertise consist of:

  • Electrical and Electronic Engineering
  • Hardware and Architecture
  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Cardiology and Cardiovascular Medicine

The main research topics explored by Bagherzadeh cover:

  • Advanced Memory and Neural Computing
  • Parallel Computing and Optimization Techniques
  • Ferroelectric and Negative Capacitance Devices
  • Advanced Neural Network Applications
  • Hemodynamic Monitoring and Therapy
  • Heart Rate Variability and Autonomic Control
  • CCD and CMOS Imaging Sensors

Their recent publications demonstrate an interdisciplinary approach, combining aspects of hardware design and computational medicine. Notable papers include:

  • "Thermal TSV Optimization and Hierarchical Floorplanning for 3-D Integrated Circuits," 2020, published in IEEE Transactions on Components Packaging and Manufacturing Technology
  • "PLAM: A Posit Logarithm-Approximate Multiplier," 2021, published in IEEE Transactions on Emerging Topics in Computing
  • "A machine-learning approach to predicting hypotensive events in ICU settings," 2020, published in Computers in Biology and Medicine
  • "A high-performance fully programmable membership function generator based on 10 nm gate-all-around CNTFETs," 2020, published in AEU - International Journal of Electronics and Communications
  • "Predicting hypotension in the ICU using noninvasive physiological signals," 2020, published in Computers in Biology and Medicine

Bagherzadeh frequently collaborates with other researchers. Notable frequent coauthors are:

  • Keivan Navi
  • Mohammed Alnemari
  • Mina Chookhachizadeh Moghadam
  • Mohammad Hossein Moaiyeri
  • Masoomeh Jasemi

The scientist's research is disseminated primarily through several publication venues, including:

  • IEEE Transactions on Emerging Topics in Computing
  • arXiv (Cornell University)
  • Computers in Biology and Medicine
  • Computers & Electrical Engineering
  • IEEE Transactions on Components Packaging and Manufacturing Technology

In recognition of contributions to the field, Nader Bagherzadeh was named an IEEE Fellow in 2014 for work related to the design and analysis of coarse-grained reconfigurable processor architectures.

Best Publications

  • MorphoSys: an integrated reconfigurable system for data-parallel and computation-intensive applications

    H. Singh;Ming-Hau Lee;Guangming Lu;F.J. Kurdahi

  • Design and Implementation of the MorphoSys Reconfigurable ComputingProcessor

    Ming-Hau Lee;Hartej Singh;Guangming Lu;Nader Bagherzadeh

  • 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

  • Power-aware scheduling under timing constraints for mission-critical embedded systems

    Jinfeng Liu;Pai H. Chou;Nader Bagherzadeh;Fadi Kurdahi

  • A Wireless Network-on-Chip Design for Multicore Platforms

    Chifeng Wang;Wen-Hsiang Hu;Nader Bagherzadeh

  • Optimal ring embedding in hypercubes with faulty links

    S. Latifi;S.-Q. Zheng;N. Bagherzadeh

  • A scalable register file architecture for dynamically scheduled processors

    S. Wallace;N. Bagherzadeh

  • A framework for reconfigurable computing: task scheduling and context management

    R. Maestre;F.J. Kurdahi;M. Fernandez;R. Hermida

  • Performance study of a multithreaded superscalar microprocessor

    M. Gulati;N. Bagherzadeh

  • Efficient Mitchell’s Approximate Log Multipliers for Convolutional Neural Networks

    Min Soo Kim;Alberto A. Del Barrio;Leonardo Tavares Oliveira;Roman Hermida

  • A variable frequency link for a power-aware network-on-chip (NoC)

    Seung Eun Lee;Nader Bagherzadeh

  • The MorphoSys Parallel Reconfigurable System

    Guangming Lu;Hartej Singh;Ming-Hau Lee;Nader Bagherzadeh

  • A routing and broadcasting scheme on faulty star graphs

    N. Bagherzadeh;N. Nassif;S. Latifi

  • MorphoSys: case study of a reconfigurable computing system targeting multimedia applications

    Hartej Singh;Guangming Lu;Eliseu Filho;Rafael Maestre

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

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

  • The MorphoSys dynamically reconfigurable system-on-chip

    Guangming Lu;H. Singh;Ming-Hau Lee;N. Bagherzadeh

  • A compiler framework for mapping applications to a coarse-grained reconfigurable computer architecture

    Girish Venkataramani;Walid Najjar;Fadi Kurdahi;Nader Bagherzadeh

  • MorphoSys: An Integrated Re-configurable Architecture

    Hartej Singh;Ming-Hau Lee;Guangming Lu;Fadi J. Kurdahi

  • Interactive Ray Tracing on Reconfigurable SIMD MorphoSys

    H. Du;M. Sanchez-Elez;N. Tabrizi;N. Bagherzadeh

  • Multiple branch and block prediction

    S. Wallace;N. Bagherzadeh

Frequent Co-Authors

Keivan Navi
Keivan Navi Shahid Beheshti University
Fadi J. Kurdahi
Fadi J. Kurdahi University of California, Irvine
Pai H. Chou
Pai H. Chou University of California, Irvine
Mohammad Hossein Moaiyeri
Mohammad Hossein Moaiyeri Shahid Beheshti University
Ozdal Boyraz
Ozdal Boyraz University of California, Irvine
Shaahin Angizi
Shaahin Angizi New Jersey Institute of Technology
Masoud Daneshtalab
Masoud Daneshtalab Mälardalen University
Walid Najjar
Walid Najjar University of California, Riverside
Himanshu Thapliyal
Himanshu Thapliyal University of Tennessee at Knoxville
Deliang Fan
Deliang Fan Johns Hopkins University

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