World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
44
Citations
8831
World Ranking
3697
National Ranking
1341

Overview

Puneet Gupta is affiliated with the University of California, Los Angeles in the United States. Their research encompasses multiple areas within engineering and computer science, focusing particularly on electrical and electronic engineering as well as artificial intelligence.

The scientist has contributed to the fields of study including:

  • Engineering
  • Computer Science

Within these broad disciplines, they have worked extensively on subfields such as:

  • Electrical and Electronic Engineering
  • Artificial Intelligence
  • Hardware and Architecture
  • Computer Networks and Communications
  • Biomedical Engineering

Puneet Gupta's main topics of research interest include:

  • Neural Networks and Reservoir Computing
  • Photonic and Optical Devices
  • Optical Network Technologies
  • Advanced Memory and Neural Computing
  • Ferroelectric and Negative Capacitance Devices
  • Parallel Computing and Optimization Techniques
  • Stochastic Gradient Optimization Techniques

Their recent scholarly contributions consist of papers published across various venues, with notable works such as:

  • "Design Space Exploration for Chiplet-Assembly-Based Processors", 2020, IEEE Transactions on Very Large Scale Integration (VLSI) Systems
  • "SUNRISE: Improving 3D mask Face Anti-spoofing for Short Videos using Pre-emptive Split and Merge", 2022, IEEE Transactions on Dependable and Secure Computing
  • "Massively parallel amplitude-only Fourier neural network", 2020, Optica
  • "High-Throughput Multichannel Parallelized Diffraction Convolutional Neural Network Accelerator", 2022, Laser & Photonics Review
  • "Design and Testing of Integrated Photonic Chip for Convolution Neural Network", 2022, Imaging and Applied Optics Congress 2022 (3D, AOA, COSI, ISA, pcAOP)

The scientist frequently publishes in these venues:

  • arXiv (Cornell University)
  • IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
  • Conference on Lasers and Electro-Optics
  • IEEE Transactions on Very Large Scale Integration (VLSI) Systems
  • 2022 IEEE Photonics Conference (IPC)

They collaborate often with several co-authors, including:

  • Shurui Li
  • Volker J. Sorger
  • Zibo Hu
  • Mario Miscuglio
  • Tianmu Li

Best Publications

  • Trading Accuracy for Power with an Underdesigned Multiplier Architecture

    Parag Kulkarni;Puneet Gupta;Milos Ercegovac

  • Gate-length biasing for digital circuit optimization

    Puneet Gupta;Andrew B. Kahng

  • Manufacturing-Aware Physical Design

    Puneet Gupta;Andrew B. Kahng

  • Tool for modifying mask design layout

    Andrew B. Kahng;Puneet Gupta;Dennis Sylvester;Jie Yang

  • Toward through-process layout quality metrics

    Fook-Luen Heng;Jin-Fuw Lee;Puneet Gupta

  • Toward a methodology for manufacturability-driven design rule exploration

    L. Capodlieci;P. Gulpta;A.B. Kahng;D. Sylvester

  • Reliable on-chip systems in the nano-era: lessons learnt and future trends

    Jorg Henkel;Lars Bauer;Nikil Dutt;Puneet Gupta

  • Selective gate-length biasing for cost-effective runtime leakage control

    Puneet Gupta;Andrew B. Kahng;Puneet Sharma;Dennis Sylvester

  • Method of IC fabrication, IC mask fabrication and program product therefor

    Puneet Gupta;Fook-Luen Heng;Mark A. Lavin

  • Enhanced resist and etch CD control by design perturbation

    Puneet Gupta;Andrew B. Kahng;Chul-Hong Park

  • Wafer topography- aware optical proximity correction for better DOF margin and CD control

    Puneet Gupta;Andrew B. Kahng;Chul-Hong Park;Kambiz Samadi

  • Underdesigned and Opportunistic Computing in Presence of Hardware Variability

    P. Gupta;Y. Agarwal;L. Dolecek;N. Dutt

  • Trading Accuracy for Power in a Multiplier Architecture

    Parag Kulkarni;Puneet Gupta;Milos D. Ercegovac

  • Massively parallel amplitude-only Fourier neural network

    Mario Miscuglio;Zibo Hu;Shurui Li;Jonathan K. George

  • A practical transistor-level dual threshold voltage assignment methodology

    P. Gupta;A.B. Kahng;P. Sharma

  • Method and system for detailed placement of layout objects in a standard-cell layout design

    Puneet Gupta;Andrew Kahng;Chul-Hong Park

  • Joining the design and mask flows for better and cheaper masks

    Puneet Gupta;Andrew B. Kahng;Chul-Hong Park;P. Sharma

  • Detailed placement for improved depth of focus and CD control

    P. Gupta;A.B. Kahngt;Chul-Hong Park

  • Gate-length biasing for runtime-leakage control

    P. Gupta;A.B. Kahng;P. Sharma;D. Sylvester

  • Design sensitivities to variability: extrapolations and assessments in nanometer VLSI

    Y. Cao;P. Gupta;A.B. Kahng;D. Sylvester

Frequent Co-Authors

Andrew B. Kahng
Andrew B. Kahng University of California, San Diego
Dennis Sylvester
Dennis Sylvester University of Michigan–Ann Arbor
Nikil Dutt
Nikil Dutt University of California, Irvine
Mani Srivastava
Mani Srivastava University of California, Los Angeles
Kang L. Wang
Kang L. Wang University of California, Los Angeles
Chi On Chui
Chi On Chui University of California, Los Angeles
Subramanian S. Iyer
Subramanian S. Iyer University of California, Los Angeles
Lei He
Lei He University of California, Los Angeles
Suhas Diggavi
Suhas Diggavi University of California, Los Angeles
Rajesh Gupta
Rajesh Gupta University of California, San Diego

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