World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
30
Citations
3748
World Ranking
14115
National Ranking
5591

Research.com Recognitions

  • 2015 - ACM Senior Member

Overview

Philip Brisk is affiliated with the University of California, Riverside in the United States. Their research primarily spans the fields of engineering and computer science, with a notable emphasis on biomedical engineering, electrical and electronic engineering, and artificial intelligence. Additional specialized subfields include ocean engineering and signal processing.

Their scientific work is concentrated around several main topics:

  • Microfluidic and Capillary Electrophoresis Applications
  • Microfluidic and Bio-sensing Technologies
  • Anomaly Detection Techniques and Applications
  • Innovative Microfluidic and Catalytic Techniques Innovation
  • Electrowetting and Microfluidic Technologies
  • Time Series Analysis and Forecasting
  • Electrohydrodynamics and Fluid Dynamics

Philip Brisk has contributed to numerous publications in notable venues, including:

  • IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
  • PLoS ONE
  • Journal of Geophysical Research Solid Earth
  • ACM Transactions on Reconfigurable Technology and Systems
  • IEEE Transactions on NanoBioscience

Recent papers authored or coauthored by Philip Brisk include:

  • "A pneumatic random-access memory for controlling soft robots," 2021, PLoS ONE
  • "The Matrix Profile in Seismology: Template Matching of Everything With Everything," 2024, Journal of Geophysical Research Solid Earth
  • "FPGA-based Acceleration of Time Series Similarity Prediction: From Cloud to Edge," 2022, ACM Transactions on Reconfigurable Technology and Systems
  • "Multi-Objective Design Automation for Microfluidic Capture Chips," 2022, IEEE Transactions on NanoBioscience
  • "ChemStor: Using Formal Methods To Guarantee Safe Storage and Disposal of Chemicals," 2020, Journal of Chemical Information and Modeling

Collaborations are a significant part of their research activities. Frequent coauthors include William H. Grover, Shane Hoang, Konstantinos Karydis, Mabel Shehada, and Zachary Zimmerman.

Philip Brisk's professional recognitions include being named an ACM Senior Member in 2015.

Best Publications

  • Variable latency speculative addition: a new paradigm for arithmetic circuit design

    Ajay K. Verma;Philip Brisk;Paolo Ienne

  • Matrix Profile II: Exploiting a Novel Algorithm and GPUs to Break the One Hundred Million Barrier for Time Series Motifs and Joins

    Yan Zhu;Zachary Zimmerman;Nader Shakibay Senobari;Chin-Chia Michael Yeh

  • Instruction generation and regularity extraction for reconfigurable processors

    Philip Brisk;Adam Kaplan;Ryan Kastner;Majid Sarrafzadeh

  • Area-efficient instruction set synthesis for reconfigurable system-on-chip designs

    Philip Brisk;Adam Kaplan;Majid Sarrafzadeh

  • Recent developments in microfluidic large scale integration.

    Ismail Emre Araci;Philip Brisk

  • A first step towards automatic application of power analysis countermeasures

    Ali Galip Bayrak;Francesco Regazzoni;Philip Brisk;Francois-Xavier Standaert

  • Path scheduling on digital microfluidic biochips

    Daniel Grissom;Philip Brisk

  • Efficient synthesis of compressor trees on FPGAs

    Hadi Parandeh-Afshar;Philip Brisk;Paolo Ienne

  • A Design Flow and Evaluation Framework for DPA-Resistant Instruction Set Extensions

    Francesco Regazzoni;Alessandro Cevrero;François-Xavier Standaert;Stephane Badel

  • An open-source compiler and PCB synthesis tool for digital microfluidic biochips

    Daniel Grissom;Christopher Curtis;Skyler Windh;Calvin Phung

  • Exploiting fast carry-chains of FPGAs for designing compressor trees

    Hadi Parandeh-Afshar;Philip Brisk;Paolo Ienne

  • Fast Online Synthesis of Digital Microfluidic Biochips

    Daniel T. Grissom;Philip Brisk

  • Rethinking custom ISE identification: a new processor-agnostic method

    Ajay K. Verma;Philip Brisk;Paolo Ienne

  • Adaptive and fault tolerant medical vest for life-critical medical monitoring

    Roozbeh Jafari;Foad Dabiri;Philip Brisk;Majid Sarrafzadeh

  • Fast online synthesis of generally programmable digital microfluidic biochips

    Daniel Grissom;Philip Brisk

  • Data-Flow Transformations to Maximize the Use of Carry-Save Representation in Arithmetic Circuits

    A.K. Verma;P. Brisk;P. Ienne

  • A digital microfluidic biochip synthesis framework

    Daniel Grissom;Kenneth O'Neal;Benjamin Preciado;Hiral Patel

  • Matrix Profile XIV: Scaling Time Series Motif Discovery with GPUs to Break a Quintillion Pairwise Comparisons a Day and Beyond

    Zachary Zimmerman;Kaveh Kamgar;Nader Shakibay Senobari;Brian Crites

  • A field-programmable pin-constrained digital microfluidic biochip

    Daniel Grissom;Philip Brisk

  • Finding the optimal design of a passive microfluidic mixer.

    Junchao Wang;Junchao Wang;Naiyin Zhang;Jin Chen;Victor G. J. Rodgers

  • Compressor tree synthesis on commercial high-performance FPGAs

    Hadi Parandeh-Afshar;Arkosnato Neogy;Philip Brisk;Paolo Ienne

  • Selective Flexibility: Creating Domain-Specific Reconfigurable Arrays

    Mirjana Stojilovic;David Novo;Lazar Saranovac;Philip Brisk

Frequent Co-Authors

Paolo Ienne
Paolo Ienne École Polytechnique Fédérale de Lausanne
Majid Sarrafzadeh
Majid Sarrafzadeh University of California, Los Angeles
Eamonn Keogh
Eamonn Keogh University of California, Riverside
Edoardo Charbon
Edoardo Charbon École Polytechnique Fédérale de Lausanne
Yusuf Leblebici
Yusuf Leblebici École Polytechnique Fédérale de Lausanne
Francesco Regazzoni
Francesco Regazzoni Polytechnic University of Milan
Ryan Kastner
Ryan Kastner University of California, San Diego
François-Xavier Standaert
François-Xavier Standaert Université Catholique de Louvain
Roozbeh Jafari
Roozbeh Jafari Texas A&M University
Philip D. Rack
Philip D. Rack University of Tennessee at Knoxville

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