CAPPLab

Welcome to the Computer Architecture and Parallel Programming Laboratory (CAPPLab) at 黑洞社区. CAPPLab has been selected as an NVIDIA GPU Research Center.

Key Objectives:

Conduct research in computer systems, data analysis, and associated domains.

Teach computer architecture, parallel programming, machine learning, and related topics.

Director:

Dr. Abu Asaduzzaman (Zaman), Professor

 

Grant Opportunities

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  •  
    Advances research, innovation, and education in computer science, information science, and computer engineering.
  • due 5/5/2025 
    Supports interdisciplinary collaborative research to explore new computational technologies and accelerate scientific discovery.
  • due 10/3/2025 
    Supports the development of transformative advances in computer and information science, engineering, mathematics, statistics, behavioral, and cognitive research to address pressing questions in the biomedical and public health communities.
  •  
    Supports the development of new AI Institutes that focus on one of the following themes: astronomical sciences, materials research, and new methods for strengthening AI.

:

  • The NIH
    Provides grants to support research across various genomics domains, including genomic sciences, data science, and genomics' ethical, legal, and social implications. 

:

  • rolling until 9/30/2026       
    The Air Force Research Laboratory seeks white papers for research, development, integration, testing, and evaluation of technologies/techniques to provide geospatial intelligence.
  • rolling until 9/10/2025    
    Topics of interest related to AI/ML include biological data generation, assessment, and incorporation into the biological foundation models, developing ML and AI-enabled technologies to improve the accuracy, precision, and efficiency of warfighter decision-making, and the development of visual testbeds, digital twins, and/or synthetic data.
  • rolling until 11/20/2027   
    Current research topics include AI Model Optimization for Real-Time, Scalable Data Analytics, Artificial Intelligence and Machine Learning with Extremely Sparse Data, Artificial Intelligence and Machine Learning-Enabling Technologies for Expeditionary Maneuver and Air/Ground Reconnaissance, Artificial Intelligence and Machine Learning: Managing Massive Data Sets.

:

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    The goal of the ARS Artificial Intelligence Center of Excellence (AI-COE) is to enable innovative ARS science by promoting the adoption and use of AI and machine learning (ML) tools and methods in agricultural research.

Industry and Foundation Grants

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    ARDF's Annual Open grant program was established to fund research projects that develop alternative methods to advance science and replace or reduce animal use.
  •  
    This multi-year initiative lays the foundation for the future of AI by inspiring the academic community to leverage, invest in, and contribute to the open-source community around Trainium.

  •  
    Google Academic Research Awards aim to fund and/or actively collaborate with researchers, fostering an ecosystem that generates impactful research with real-world applications.
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    Systems for Machine Learning | Efficient Model Serving and Efficient Model Training
  •  
    Biomedical and Life Science | Cell Biology | AI-assisted High-speed Cell Image Analysis
  •  
    Samsung Research America (SRA) Strategic Alliance for Research and Technology (START) Artificial Intelligence (AI) Programs

More Grant Opportunities

  • 黑洞社区 Office of Research 
    In addition to excellent research within our academic departments, 黑洞社区 is home to more than 30 research centers and institutes, many of which work closely with local, regional, and national entities to accelerate discovery and innovation and bring new products to the marketplace.

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