World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
30
Citations
6420
World Ranking
13883
National Ranking
5518

Research.com Recognitions

  • 2001 - ACM Fellow For contributions to the design and analysis of parallel algorithms, algebraic and combinatorial complexity, VLSI architectures, and high-performance computing.

Overview

Joseph JaJa is affiliated with the University of Maryland, College Park in the United States. Their research spans multiple fields within computer science and neuroscience. The main fields of study associated with their work include:

  • Computer Science
  • Neuroscience

Within these broad fields, their work focuses on several subfields, including:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Cognitive Neuroscience
  • Computer Graphics and Computer-Aided Design
  • Radiology, Nuclear Medicine and Imaging

Key topics covered in their research include:

  • Computer Graphics and Visualization Techniques
  • Neural dynamics and brain function
  • Functional Brain Connectivity Studies
  • Generative Adversarial Networks and Image Synthesis
  • Advanced Vision and Imaging
  • Privacy-Preserving Technologies in Data
  • Stochastic Gradient Optimization Techniques

Joseph JaJa has coauthored numerous papers with several frequent collaborators, including:

  • Amitabh Varshney
  • Manasij Venkatesh
  • Luiz Pessoa
  • Matthew Evanusa
  • Vaishnavi Patil

The researcher has published extensively in venues such as:

  • arXiv (Cornell University)
  • IEEE Transactions on Visualization and Computer Graphics
  • bioRxiv (Cold Spring Harbor Laboratory)
  • PLoS Computational Biology
  • 2022 IEEE International Conference on Data Mining Workshops (ICDMW)

Recent papers by Joseph JaJa include:

  • NSF/IEEE-TCPP Curriculum Initiative on Parallel and Distributed Computing Core Topics for Undergraduates, 2024, HAL (Le Centre pour la Communication Scientifique Directe)
  • 3D-Kernel Foveated Rendering for Light Fields, 2020, IEEE Transactions on Visualization and Computer Graphics
  • Learning brain dynamics for decoding and predicting individual differences, 2021, PLoS Computational Biology
  • TAG: Boosting Text-VQA via Text-aware Visual Question-answer Generation, 2022, arXiv (Cornell University)
  • HoloCamera: Advanced Volumetric Capture for Cinematic-Quality VR Applications, 2024, IEEE Transactions on Visualization and Computer Graphics

Joseph JaJa was recognized as an ACM Fellow in 2001. The award citation notes contributions to the design and analysis of parallel algorithms, algebraic and combinatorial complexity, VLSI architectures, and high-performance computing.

Best Publications

  • An introduction to parallel algorithms

    Joseph JáJá

  • Approximation Algorithms for Several Graph Augmentation Problems

    Greg N. Frederickson;Joseph F. JáJá

  • An operational atmospheric correction algorithm for Landsat Thematic Mapper imagery over the land

    Shunlin Liang;Hassan Fallah-Adl;Satya Kalluri;Joseph JáJá

  • OPTIMIZATION OF LINKED LIST PREFIX COMPUTATIONS ON MULTITHREADED GPUS USING CUDA

    Zheng Wei;Joseph F. JáJá

  • Fast, Efficient Parallel Algorithms for Some Graph Problems

    Carla D. Savage;Joseph F. JáJá

  • On the relationship between the biconnectivity augmentation and travelling salesman problems

    Greg N. Frederickson;Joseph F. JáJá

  • Space-Efficient and fast algorithms for multidimensional dominance reporting and counting

    Joseph JaJa;Christian W. Mortensen;Qingmin Shi

  • Optimal Evaluation of Pairs of Bilinear Forms

    Joseph F. JáJá

  • Systolic architectures for the computation of the discrete Hartley and the discrete cosine transforms based on prime factor decomposition

    C. Chakrabarti;J. Jaja

  • PARALLEL ALGORITHMS IN GRAPH THEORY: PLANARITY TESTING*

    Joseph F. JáJá;Janos Simon

  • Comparing functional connectivity matrices: A geometry-aware approach applied to participant identification.

    Manasij Venkatesh;Joseph F. JáJá;Luiz Pessoa

  • Optimal unified architectures for the real-time computation of time-recursive discrete sinusoidal transforms

    K.J.R. Liu;C.T. Chiu;R.K. Kolagotla;J.F. Jala

  • NSF/IEEE-TCPP curriculum initiative on parallel and distributed computing: core topics for undergraduates

    Sushil K. Prasad;Almadena Chtchelkanova;Sajal Das;Frank Dehne

  • Hierarchical Exploration of Volumes Using Multilevel Segmentation of the Intensity-Gradient Histograms

    Cheuk Yiu Ip;A. Varshney;J. JaJa

  • A Randomized Parallel Sorting Algorithm with an Experimental Study

    David R. Helman;David A. Bader;Joseph JáJá

  • Parallel algorithms for image histogramming and connected components with an experimental study

    David A. Bader;Joseph JáJá

  • SIMPLE: A Methodology for Programming High Performance Algorithms on Clusters of Symmetric Multiprocessors (SMPs)

    Unknown

  • A VLSI chip for the winograd/Prime factor algorithm to compute the discrete Fourier transform

    R. Owens;J. Ja'Ja'

  • Practical parallel algorithms for dynamic data redistribution, median finding, and selection

    D.A. Bader;J. JaJa

  • Designing Practical Efficient Algorithms for Symmetric Multiprocessors

    David R. Helman;Joseph JáJá

  • A new deterministic parallel sorting algorithm with an experimental evaluation

    David R. Helman;Joseph JáJá;David A. Bader

Frequent Co-Authors

David A. Bader
David A. Bader New Jersey Institute of Technology
Shunlin Liang
Shunlin Liang University of Hong Kong
John R. Townshend
John R. Townshend University of Maryland, College Park
Luiz Pessoa
Luiz Pessoa University of Maryland, College Park
Uzi Vishkin
Uzi Vishkin University of Maryland, College Park
Amitabh Varshney
Amitabh Varshney University of Maryland, College Park
Chaitali Chakrabarti
Chaitali Chakrabarti Arizona State University
Raghu N. Kacker
Raghu N. Kacker National Institute of Standards and Technology
Eric Vermote
Eric Vermote Goddard Space Flight Center
Yoram J. Kaufman
Yoram J. Kaufman Goddard Space Flight Center

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