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Electronics and Electrical Engineering

D-Index
30
Citations
5070
World Ranking
6735
National Ranking
2188

Overview

Bipul C. Paul is a researcher affiliated with GlobalFoundries in the United States, specializing in areas within computer science. Their work primarily focuses on artificial intelligence and information systems, with a significant emphasis on natural language processing techniques.

The research portfolio of Bipul C. Paul includes multiple publications, with a substantial presence in the venue arXiv (Cornell University) and IEEE Transactions on Very Large Scale Integration (VLSI) Systems. The following are notable recent papers authored or co-authored by them:

  • IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 2022
  • Empowering Bengali Education with AI: Solving Bengali Math Word Problems through Transformer Models, 2025, arXiv (Cornell University)
  • Bridging Dialects: Translating Standard Bangla to Regional Variants Using Neural Models, 2025, arXiv (Cornell University)
  • ANCHOLIK-NER: A Benchmark Dataset for Bangla Regional Named Entity Recognition, 2025, arXiv (Cornell University)
  • Geospatial and Temporal Trends in Urban Transportation: A Study of NYC Taxis and Pathao Food Deliveries, 2025, arXiv (Cornell University)

Bipul C. Paul's research topics cover a range of subjects related to text analysis and language processing. These topics include:

  • Natural Language Processing Techniques
  • Topic Modeling
  • Text Readability and Simplification
  • Text and Document Classification Technologies
  • Sentiment Analysis and Opinion Mining
  • Advanced Text Analysis Techniques
  • Spam and Phishing Detection

Collaborations have involved several co-authors, with repeated partnerships indicating areas of shared research interest. Frequent co-authors are:

  • Tashreef Muhammad
  • Massimo Alioto
  • Mircea R. Stan
  • Pasquale Corsonello
  • Steven Weber

The publication venues for their works are mostly concentrated in:

  • arXiv (Cornell University)
  • IEEE Transactions on Very Large Scale Integration (VLSI) Systems

The main fields of study for Bipul C. Paul center on computer science, with nine publications addressing artificial intelligence topics and one publication focusing on information systems. Their contributions span foundational and applied aspects of natural language processing, demonstrating involvement in both dataset creation and applied machine learning models targeting regional language variants and educational applications.

Best Publications

  • Circuit Failure Prediction and Its Application to Transistor Aging

    M. Agarwal;B.C. Paul;Ming Zhang;S. Mitra

  • Robust subthreshold logic for ultra-low power operation

    Hendrawan Soeleman;Kaushik Roy;Bipul C. Paul

  • Robust subthreshold logic for ultra-low power operation

    H. Soeleman;K. Roy;B.C. Paul

  • Impact of NBTI on the temporal performance degradation of digital circuits

    B.C. Paul;Kunhyuk Kang;H. Kufluoglu;M.A. Alam

  • A process-tolerant cache architecture for improved yield in nanoscale technologies

    A. Agarwal;B.C. Paul;H. Mahmoodi;A. Datta

  • A 1 GHz integrated circuit with carbon nanotube interconnects and silicon transistors.

    Gael F. Close;Shinichi Yasuda;Bipul Paul;Shinobu Fujita

  • Modeling and optimization of fringe capacitance of nanoscale DGMOS devices

    A. Bansal;B.C. Paul;K. Roy

  • Process variation in embedded memories : Failure analysis and variation aware architecture

    Amit Agarwal;Bipul C. Paul;Saibal Mukhopadhyay;Kaushik Roy

  • Process variation in embedded memories: failure analysis and variation aware architecture

    A. Agarwal;B.C. Paul;S. Mukhopadhyay;K. Roy

  • Temporal Performance Degradation under NBTI: Estimation and Design for Improved Reliability of Nanoscale Circuits

    B.C. Paul;Kunhyuk Kang;H. Kufluoglu;M.A. Alam

  • Optimized Circuit Failure Prediction for Aging: Practicality and Promise

    M. Agarwal;V. Balakrishnan;A. Bhuyan;Kyunglok Kim

  • Novel sizing algorithm for yield improvement under process variation in nanometer technology

    Seung Hoon Choi;Bipul C. Paul;Kaushik Roy

  • Fully Integrated Graphene and Carbon Nanotube Interconnects for Gigahertz High-Speed CMOS Electronics

    Xiangyu Chen;D Akinwande;Kyeong-Jae Lee;G F Close

  • An Analytical Fringe Capacitance Model for Interconnects Using Conformal Mapping

    A. Bansal;B.C. Paul;K. Roy

  • Impact of a Process Variation on Nanowire and Nanotube Device Performance

    B.C. Paul;S. Fujita;M. Okajima;T.H. Lee

  • Device optimization for digital subthreshold logic operation

    B.C. Paul;A. Raychowdhury;K. Roy

  • Contact engineering for organic semiconductor devices via Fermi level depinning at the metal-organic interface

    Zihong Liu;Masaharu Kobayashi;Bipul C. Paul;Bipul C. Paul;Zhenan Bao

  • Negative Bias Temperature Instability: Estimation and Design for Improved Reliability of Nanoscale Circuits

    B.C. Paul;Kunhyuk Kang;H. Kufluoglu;M.A. Alam

  • Robust ultra-low power sub-threshold DTMOS logic

    Hendrawan Soeleman;Kaushik Roy;Bipul Paul

  • Low-power design techniques for scaled technologies

    Bipul C. Paul;Amit Agarwal;Kaushik Roy

  • Computing with subthreshold leakage: device/circuit/architecture co-design for ultralow-power subthreshold operation

    A. Raychowdhury;B.C. Paul;S. Bhunia;K. Roy

  • Modeling and analysis of circuit performance of ballistic CNFET

    Bipul C. Paul;Shinobu Fujita;Masaki Okajima;Thomas Lee

  • Impact of Process Variation on Nanowire and Nanotube Device Performance

    Unknown

  • Underlap DGMOS for digital-subthreshold operation

    B.C. Paul;A. Bansal;K. Roy

Frequent Co-Authors

Kaushik Roy
Kaushik Roy Purdue University West Lafayette
Ruilong Xie
Ruilong Xie IBM (United States)
Thomas H. Lee
Thomas H. Lee Stanford University
Deji Akinwande
Deji Akinwande The University of Texas at Austin
Yoshio Nishi
Yoshio Nishi Stanford University
Arijit Raychowdhury
Arijit Raychowdhury Georgia Institute of Technology
Muhammad A. Alam
Muhammad A. Alam Purdue University West Lafayette
H.-S. Philip Wong
H.-S. Philip Wong Stanford University
Zhenan Bao
Zhenan Bao Stanford University

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