Research Interests: High
Performance and Data Intensive Computing, Scientific Visualization, Machine
Learning, Big Data with Applications in Cybersecurity
and Brain Research.
- Professor: Electrical and Computer Engineering, and
Institute for Advanced Computer Studies, University of Maryland, and Director
of Cyberinfrastructure, National
Socio-Environmental Synthesis Center.
- 2010-2011: Interim VP and CIO, University of Maryland,
- 1994-2004: Director of the University of Maryland
Institute for Advanced Computer Studies (UMIACS)
- 2002-2004: Interim Director of the Center for
Bioinformatics and Computational Biology
- Ph.D. 1977, M.S. 1976, Applied Mathematics, Division of
Engineering and Applied Physics, Harvard University.
- Over 160 refereed publications in parallel and
distributed computing, data intensive computing, combinatorial algorithms,
algebraic complexity, and VLSI architectures.
- IEEE and ACM Fellow
- Parallel Computing. Development of parallel algorithms and their implementations on
current and emerging heterogeneous multicore/GPU platforms. Applications
of interest range from scientific computing to large scale graph
–theoretic problems to machine learning algorithms for big data.
- Simulation and Visualization of Large Scale
Fluid-Structure Interactions. The main objective of this NSF-funded PetaApps
project is the development of high-performance computing algorithms
applicable to fluid-structure interactions in viscous incompressible
flows. This project involves a collaboration
between the University of Maryland and the University of Chicago FLASH
Socio-Environmental Synthesis Center (SESYNC). The Center is dedicated to fostering actionable synthesis and
scholarship related to the structure, functioning, and sustainability of
socio-environmental systems. This project is developing computational
tools and services to analyze, model, and visualize heterogeneous datasets
from social and environmental sciences.
An Approach to Digital Archiving and Preservation Technology. The ADAPT project is
developing technologies for building a scalable and reliable
infrastructure for the long-term access and preservation of digital
contents. A particular focus concerns the development of methodologies to
enable efficient and scalable information retrieval for a "time
machine" for the web.
- Performance and Management of Distributed
Heterogeneous Networks. A Partnership between the University of Maryland and
the Laboratory for Telecommunications Sciences which involves a broad
research program in networking and telecommunications technologies.
Selected Recent Publications:
- Optimized FFT Computations on Heterogeneous
Platforms with Application to the Poisson Equation. J. Wu and J. JaJa, Journal of Parallel and Distributed
- From Maxout to
Channel-Out: Encoding Information on Sparse Pathways, Q. Wang and J. JaJa, to
appear in Proceedings of the
International Conference on Artificial Neural Networks, 15-19
September, 2014, Hamburg, Germany.
- High Performance FFT Based Poisson Solver on a
CPU-GPU Heterogeneous Platform, J. Wu and J. JaJa, International
Parallel and Distributed Processing Symposium (IPDPS), May 2013,
- Hierarchical Exploration of Volumes Using Multilevel
Segmentation of the Intensity-Gradient Histograms, C. Yiu Ip, A.
Varshney, and J. JaJa, VIS 2012, October 2012 (won Best Paper Award for SciVis 2012)
- An Effective Approach to Temporally Anchored
Information Retrieval, Z. Wei and J. JaJa, UMIACS-TR-2012-10, University of
Maryland, College Park, August, 2012.
- Optimized Strategies for Mapping Three-dimensional
FFTs onto CUDA GPUs, J. Wu and J. JaJa, Proceedings of Innovative
Parallel Computing (INPAR) Workshop, San Jose, CA, May
- Constructing Inverted Files: To MapReduce or Not Revisited, Z. Wei and J. JaJa,
Technical Report, University of Maryland, College Park, 2011. Also, to
appear in IEEE Transactions on
Parallel and Distributed Computing.
- A Fast Algorithm for
Constructing Inverted Files on Heterogeneous Platforms, Z. Wei and J. JaJa, International
Parallel and Distributed Processing Symposium (IPDPS), May 2011,
- Optimization of
Linked List Prefix Computations on Multithreaded GPUs Using CUDA, Z Wei and J. JaJa, International
Parallel and Distributed Processing Symposium (IPDPS), April 2010,
- Streaming Based
Volume Ray Casting on the Cell Broadband Engine, J. Kim and
J. JaJa, Scientific Programming, Special Issue on High-Performance
Computing on the Cell BE, 17(number 1-2), 173-184, 2009.
- Techniques to Audit and
Certify the Long Term Integrity of Digital Archives, S. Song and J. JaJa, International
Journal of Digital Libraries, 2010.
- Quantifying the
astrocytoma cell response to candidate pharmaceutical from F-ACTIN image
Chi Cui, Joseph JaJa, Thomas Turbyville, John
Beutler, Prabhakar Gudla, Kaustav Nandy and Stephen Lockett, EMBC2009,
- Interactive Direct
Volume Rendering on Desktop Multicore Processors, Q. Wang and J. JaJa, Concurrency
and Computation: Practice and Experience, 21, 2199-2212, September
- Robust Tools and Services
for Long-Term Preservation of Digital Information, J. JaJa and S. Song, Library
Trends Special Issue: Library of Congress National Digital Information and
Preservation Parntership, 57:3, 580-594,
- Search and Access
Strategies for Web Archives, S Song and J. JaJa, Proceedings of Archiving 2009,
May 4-7, 2009.
Model Based Volume Ray Casting Implementation for Cell Broadband Engine,
Kim and Joseph JaJa, Proceedings of Eurographics
Symposium on Parallel Graphics and Visualization, 2008.
Browsing of Archived Web Contents, Sangchul Song and Joseph JaJa, Proceedings of the
International Web Archiving Workshop, September 18-19, 2008, Aarhus,
- Parallel Algorithms
for Volumetric Surface Construction, J. JaJa, Q. Shi, and A. Varshney, a chapter in Parallel
Computing: Models, Algorithms, and Applications, S. Rajasekaran and J.
Reif, eds., Chapman & Hall/CRC, 2008.
High-Resolution Isosurface Ray Casting on
Multi-core Processors, Q. Wang and J. JaJa, IEEE Transactions on Visualization
and Computer Graphics, 2008.
- An Efficient and Scalable
Parallel Algorithm for Out-of-Core Isosurface
Extraction and Rendering, Q. Wang, J. J.JaJa,
A. Varshney, Journal of Parallel and Distributed Computing, 67(5),
- Component-based Data
Layout for Efficient Slicing of Very Large Multidimensional Volumetric
Jusub Kim and Joseph JaJa, Proceedings of the 2007 International
Conference on Scientific and Statistical Database Management, July 9-11, 2007, Banff, Canada.
- Information Aware Tree
for Efficient out-of-core Indexing of Very Large Multidimensional
Volumetric Data, Jusub Kim and Joseph JaJa, Proceedings of the 2007
International Conference on Scientific and Statistical Database
Management, July 9-11, 2007, Banff, Canada.
- ACE: A Novel Software
Platform to Ensure the Integrity of Long Term Archives, S. Song and J. JaJa,
90-93, Proceedings of the Archiving 2007 Conference, May 2007,
Extraction and Spatial Filtering Using Persistent Octree
Shi and J. JaJa, IEEE Transactions on Visualization and Computer
Graphics, 12(5), September/October 2006..
- A Novel Information-Aware Octree for the Visualization of Large Scale
Time-Varying Data, J. Kim and J. JaJa, UMIACS-TR-2006-03, University of
Maryland, College Park, April 2006.
- Novel Transformation Techniques
Using Q-Heaps with Applications to Computational Geometry, Q. Shi and J. JaJa, SIAM
J. Computing, 34(6), 1471-1492, 2005.
Last Updated: March, 2014.