Research Interests: High-Performance
Computing, Scientific Visualization, Statistical Machine Learning, Big Data
with Applications in Brain Research and Digital Preservation.
- Professor: Electrical and Computer Engineering, and
Institute for Advanced Computer Studies, University of Maryland.
- 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. A current effort involves fast
simulation and real-time simulation of Agent Based Models for vocal cord
inflammation and healing process.
- Statistical Machine Learning Algorithms for the Brain. This project addresses the structural and functional organization of
the brain and the characteristics of the corresponding brain networks
using DTI and FMRI data. The project involves collaborations with a number
of faculty at UMD and UMB, and is partially
funded under the Center for Health-Related Informatics and Bioimaging.
- ADAPT: 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. This project
involves collaborative efforts under the Chronopolis
Consortium and the Digital Preservation Network Consortium.
- Partnership with the Laboratory for Telecommunication
This partnership involves collaborative efforts involving a broad set of
research areas and outreach activities. Current research projects cover
topics in high performance computing, networking, wireless, network
security, and geolocation.
Selected Recent Publications:
- Real-time Agent-Based Modeling and Simualtion
with in-situ Visualization of Complex Biological Systems: A Case Study on
Vocal Fold Inflammation and Healing, N. Seekhao, C. Shung, J. JaJa, L.
Mongeau, and N. Li, Proceedings of
the HiCOMB 2016 Workshop, May 2016, Chicago.
- A High Performance Implementation of Spectral
Clustering on CPU-GPU Platforms, Y. Jin and J. JaJa, Proceedings of the Parallel Computing and Optimization (PCO 2016)
Workshop, May 2016, Chicago.
- Linking “Toxic Outliers” to Environmental
Justice Communities, M. Collins, I. Munoz, and J. JaJa, Environmental Research Letters, December 2015.
- Connectivity-Based Brain
Parecellations: A Connectivity-Based Atlas for Schizophrenia Research, Q. Wang, R. Chen, J.
JaJa, Y. Jin, E. Hong, and E. Herskovits, Neuroinformatics, October 2015.
- A Data-Driven Approach to Extract
Connectivity Structures from Diffusion Tensor Imaging Data, Y. Jin, J. JaJa, R.
Chen, and E. Herskovits, Proceedings
of the 2015 IEEE International Conference on Big Data (IEEE BigData
2015), Oct 29 – Nov 1, 2015, Santa Clara, CA.
- Achieving Native GPU Performance for
Out-of-Card Large Matrix Multiplication, J. Wu and J. JaJa, accepted to Parallel
- Resting State Dynamic Functional Network Analysis in
Mild Traumatic Brain Injury, W. Hou, C. Chandler, J. JaJa, and R.
Society for Magnetic Resonance in Medicine ISMRN 2015, Toronto, Ontario, May 30—31, 2015.
- 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, Proceedings of the International
Conference on Artificial Neural Networks, 15-19 September, 2014,
- 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.