Research

• DBLP Computer Science Bibliography
• Google Scholar
• ORCID 0000-0002-1210-8268

Current Projects

(See: Conference Publishing Standards for Computer Science from CRA)

Bitmap Indexing for Data-Intensive Processing

• J. Kaeppel, J. Sawin, and D. Chiu. Workload-Aware Cache Management of Bitmap Indices. 10th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT’23). Taormina (Messina), Italy. 2023. ACM. (Best Paper Award)

• S. McClain, M. Mutschler-Aldine, C. Monaghan, D. Chiu, J. Sawin, and P. Jarvis. Caching Support for Range Query Processing on Bitmap Indices. 33rd International Conference on Scientific and Statistical Database Management (SSDBM’21). Tampa, FL. 2021. ACM.

• B. Tran, B. Schaffner, J. Myre, J. Sawin, and D. Chiu. Exploring Means to Enhance the Efficiency of GPU Bitmap Index Query Processing. Data Science and Engineering 6(2): 209-228. 2021.

• B. Tran, B. Schaffner, J. Sawin, J. Myre, and D. Chiu. Increasing the Efficiency of GPU Bitmap Index Query Processing. 25th International Conference on Database Systems for Advanced Applications (DASFAA’20). JeJu, South Korea. 2020.

• M. Nelson, Z. Sorenson, J. Myre, J. Sawin, D. Chiu. Parallel Acceleration of CPU and GPU Range Queries over Large Data Sets. Journal of Cloud Computing, 9: 44. 2020.

• M. Nelson, Z. Sorenson, J. Myer, J. Sawin, and D. Chiu. GPU Acceleration of Range Queries over Large Data Sets. Proceedings of the 6th IEEE/ACM International Conference on Big Data Computing, Application, and Technologies (BDCAT’19). Auckland, New Zealand. 2019. (Best Paper Candidate)

• S. Burdick, J. Risner, D. Chiu, and J. Sawin. Fault-Tolerant Query Execution over Distributed Bitmap Indices. In Proceedings of the 5th IEEE/ACM International Conference on Big Data Computing, Application, and Technologies (BDCAT’18). Zurich, Switzerland. 2018. (Best Paper Candidate)

• B. Taufen, J. Sawin, and D. Chiu. Improving the Querying Efficiency of the PLWAH Bitmap Algorithm. In Proceedings of the 21st International Database Engineering and Applications Symposium (IDEAS’17). Bristol, UK. 2017.

• G. Guzun, G. Canahuate, and D. Chiu. A Two-Phase MapReduce Algorithm for Scalable Preference Queries over High-Dimensional Data. In Proceedings of the 20th International Database Engineering and Applications Symposium (IDEAS’16). Montreal, Canada. 2016.

• M. Velez, J. Sawin, A. Ingerson, and D. Chiu. Improving Bitmap Execution Performance Using Column-Based Metadata. 4th IEEE International Conference on Future Internet of Things and Cloud (FiCloud’16). Vienna, Austria. 2016.

• G. Guzun, G. Canahuate, D. Chiu, and J. Sawin. A Tunable Aligned Compression Framework for Bitmap Indices. In Proceedings of the 30th IEEE International Conference on Data Engineering (ICDE’14). Chicago, IL.

• R. Slechta, J. Sawin, B. McCamish, D. Chiu, and G. Canahuate. Optimizing Query Execution for Variable-Aligned Length Compression of Bitmap Indices. In Proceedings of the 18th International Database Engineering and Applications Symposium (IDEAS’14). Porto, Portugal.

• F. Doan, D. Chiu, B. Perez Lukes, J. Sawin, G. Guzun, and G. Canahuate. Dynamic Bitmap Index Recompression through Workload-Based Optimizations. In Proceedings of the 17th International Database Engineering and Applications Symposium (IDEAS’13). Barcelona, Spain.

• F. Corrales, D. Chiu, and J. Sawin. Variable Length Compression for Bitmap Indices. In Proceedings of the 22nd International Conference on Database and Expert Systems Applications (DEXA’11). LNCS, Springer. Toulouse, France. 2011.

Completed Projects

Power Management in Distributed Systems

• J. Polonitza, D. Chiu, and B. Ren. A Transactional Framework for Broadening Access to Geo-Diversification. In the Proceedings of the 12th IEEE International Conference on Cloud Computing (Cloud’19). Milan, Italy. 2019.

• R. Bass, J. Landford, R. Meier, B. McCamish, E. Cotilla-Sanchez, and D. Chiu. Event Detection Using Correlation within Arrays of Streaming PMU Data. Proceedings of the 2018 IEEE Power and Energy Society General Meetings (PES’18). Portland, OR. 2018.

• C. Johnson and D. Chiu. Hadoop in Flight: Migrating Live MapReduce Jobs for Power-Shifting Data Centers. In the Proceedings of the 9th IEEE International Conference on Cloud Computing (Cloud’16). Research Track - Full Paper. San Francisco, CA. 2016.

• B. McCamish, R. Meier, J. Landford, R. Bass, D. Chiu, and E. Cotilla-Sanchez. A Backend Framework for the Efficient Management of Power System Measurements. Electric Power Systems Research. Volume 140, November 2016, Pages 797-805.

• R. Meier, M. Histand, J. Landford, B. McCamish, D. Chiu, R. Bass, and E. Cotilla-Sanchez. Power System Data Management and Analysis Using Synchrophasor Data. In Proceedings of the 2nd IEEE Conference on Technologies for Sustainability (SusTech’14). Portland, OR. 2014.

• B. McCamish, D. Chiu, M. Histand, R. Meier, J. Landford, E. Cotilla-Sanchez, and R. Bass. Managing PMU Data Sets with Bitmap Indexes. In Proceedings of the 2nd IEEE Conference on Technologies for Sustainability (SusTech’14). Portland, OR. 2014.

• Y. Li, D. Chiu, C. Liu, L. T. X. Phan, T. Gill, S. Aggarwal, Z. Zhang, B. T. Loo, D. Maier, and B. McManus. Towards Dynamic Pricing-Based Collaborative Optimizations for Green Data Centers. In the 2nd International Workshop on Data Management in the Cloud (DMC’13). In conjunction with ICDE’13. Brisbane, Australia. 2013.

• D. Chiu, C. Stewart, and B. McManus. Electric Load Balancing through Low-Cost Workload Migration. In ACM SIGMETRICS Performance Evaluation Review (GreenMetrics). Vol 40(3). Dec 2012.

Modeling and Resource Allocation for Data-Intensive Cloud Applications

• X. Xu, G. Dunham, X. Zhao, D. Chiu, and J. Xu. Modeling Parallel Molecular Simulations on Amazon EC2. In Proceedings of the International Conference on Cloud Computing and Big Data (CCBD’15). Taipei, Taiwan. 2015 (Short Paper).

• B. Wang, X. Zhao, and D. Chiu. Lightweight Online Power Monitoring and Control for Mobile Applications. In Proceedings of 20th IEEE International Conference on Parallel and Distributed Systems (ICPADS’14). Hsinchu, Taiwan. 2014.

• T. Bicer, J. Yin, D. Chiu, G. Agrawal, and K. Schuchardt. Integrating Online Compression to Accelerate Large-Scale Data Analytics Applications. In Proceedings of the 27th IEEE International Parallel and Distributed Processing Symposium (IPDPS’13). Boston, MA. 2013.

• T. Bicer, D. Chiu, and G. Agrawal. Time and Cost Sensitive Data-Intensive Computing on Hybrid Clouds. In Proceedings of the 12th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing (CCGrid’12). Ottawa, Canada. 2012.

• V. Ravi, W. Ma, D. Chiu, and G. Agrawal. Compiler and Runtime Support for Enabling Reduction Computations on Heterogeneous Systems. Concurrency and Computation: Practice and Experience. Vol 24(5). April 2012.

• T. Bicer, D. Chiu, and G. Agrawal. MATE-EC2: A Middleware for Processing Data with AWS. 4th Workshop on Many-Task Computing on Grids and Supercomputers (MTAGS’11). Held in conjunction with SC’11. Seattle, WA. 2011. (Invited Paper)

• T. Bicer, D. Chiu, and G. Agrawal. A Framework for Data-Intensive Computing with Cloud Bursting. In Proceedings of the 2011 IEEE International Conference on Cluster Computing (Cluster’11). Austin, TX. 2011.

• V. Ravi, W. Ma, D. Chiu, and G. Agrawal. Compiler and Runtime Support for Enabling Generalized Reduction Computations on Heterogeneous Parallel Configurations. In Proceedings of the 24th ACM/SIGARCH International Conference on Supercomputing (ICS’10). Tsukuba, Japan, 2010.

Elastic Cloud Caching for Accelerating Data-Intensive Applications

• F. Kabir, T. Hall, S. Wallace, and D. Chiu. Elastic Resource Allocation for a Cloud-Based Web Caching System. International Journal of Next-Generation Computing. Vol 5(1). 2014.

• F. Kabir and D. Chiu. Reconciling Cost and Performance Objectives for Elastic Web Caches. In Proceedings of the 2012 IEEE International Conference on Cloud and Services Computing (CSC’12). Shanghai, China. 2012.

• D. Chiu, A. Shetty, and G. Agrawal. Evaluating and Optimizing Indexing Schemes for a Cloud-based Elastic Key-Value Store. In Proceedings of the 11th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing (CCGrid’11). Newport Beach, CA. 2011.

• D. Chiu, A. Shetty, and G. Agrawal. Elastic Cloud Caches for Accelerating Service-Oriented Computations. In Proceedings of the 23rd ACM/IEEE International Conference on High Performance Computing Networking, Storage and Analysis (SC’10). New Orleans, LA. 2010.

• D. Chiu and G. Agrawal. Evaluating Caching and Storage Options on the Amazon Web Services Cloud. In Proceedings of the 11th ACM/IEEE International Conference on Grid Computing (GRID’10). Brussels, Belgium. 2010.

• D. Chiu and G. Agrawal. Hierarchical Caches for Grid Workflows. In Proceedings of the 9th IEEE/ACM International Symposium on Cluster Computing and the Grid (CCGrid’09). Shanghai, China. 2009.

Scientific Workflow Management in Cloud/Grid Environments

• D. Chiu and G. Agrawal. Cost and Accuracy Aware Scientific Workflow Composition for Service-Oriented Environments. IEEE Transactions on Services Computing. Vol 6(4). IEEE. 2012.

• D. Chiu, T. Hall, F. Kabir, and G. Agrawal. An Approach towards Automatic Workflow Composition through Information Retrieval. In Proceedings of the 15th International Database Engineering and Applications Symposium (IDEAS’11). Lisbon, Portugal. 2011.

• D. Chiu, T. Hall, F. Kabir, A. Shetty, and G. Agrawal. Analyzing Costs and Optimizations for an Elastic Key-Value Store on Amazon Web Services. International Journal of Next-Generation Computing. Vol 2(2). Special Issue on Cloud Computing. July 2011.

• D. Chiu, S. Deshpande, G. Agrawal, and R. Li. A Dynamic Approach toward QoS-Aware Service Workflow Composition. In Proceedings of the 7th IEEE International Conference on Web Services (ICWS’09). Los Angeles, CA, USA. 2009.

• D. Chiu, S. Deshpande, G. Agrawal, and R. Li. Composing Geoinformatics Workflows with User Preferences. In Proceedings of the 16th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM GIS’08). Irvine, CA, USA. 2008 (Poster Paper).

• D. Chiu, S. Deshpande, G. Agrawal, and R. Li. Cost and Accuracy Sensitive Dynamic Workflow Composition over Grid Environments. In Proceedings of the 9th IEEE/ACM International Conference on Grid Computing (GRID’08). Tsukuba, Japan, 2008.

• D. Chiu and G. Agrawal. Enabling Ad Hoc Queries over Low-Level Scientific Data Sets. In Proceedings of the 21st International Conference on Scientific and Statistical Database Management (SSDBM’09). New Orleans, LA, USA. 2009.

Mining Data Streams

• E. Otsuka, S. Wallace, and D. Chiu. A Hashtag Recommendation System for Twitter Data Streams. Computational Social Networks, 3(1), 1-26. Springer. 2016.

• X. Huang, T. Liu, D.Chiu, X. Li, and T. Zhu. Topic Model for Identifying Suicidal Ideation in Chinese Microblog. 29th Pacific Asia Conference on Language, Information and Computation (PACLIC’15). Shanghai, China. 2015.

• E. Otsuka, S. A. Wallace, and D. Chiu. Design and Evaluation of a Twitter Hashtag Recommendation System. In Proceedings of the 18th International Database Engineering and Applications Symposium (IDEAS’14). Porto, Portugal. (Short Paper).

• X. Huang, L. Zhang, T. Liu, D. Chiu, X. Li, and T. Zhu. Detecting Suicidal Ideation in Chinese Microblogs with Psychological Lexicons. In Proceedings of the 2014 Workshop on Pervasive and Ubiquitous Data Analytics. Held in conjunction with the 11th IEEE International Conference on Ubiquitous Intelligence and Computing.

Education Technologies and CS Pedagogy

• D. Chiu and S. Wallace. On the Science in Computer Science: Integrating Research Preparedness in Undergraduate CS. In the Journal of Computing Sciences in Colleges. Vol 29(1). 2013.

• D. Chiu. On Teaching Computer Science: Thoughts and Advice for TAs. ACM XRDS. 15(2), 2008.

• D. Chiu and P. S. Wang. An Approach for Interoperable and Customizable Web-based Mathematics Education. In Proceedings of the 5th International Conference on Web-based Education. Puerto Vallarta, Mexico. 2006. (Best Student Paper Finalist)

• D. Chiu. WME Site Organization and Customization Support. In Proceedings of the Conference on Information Technology in Education. Elizabethtown, PA. 2004. (Best Student Paper Award)

• M. Mikusa, P. S. Wang, D. Chiu, X. Lai, and X. Zou. Web-based Mathematics Education Pilot Project. In Proceedings of the Conference on Information Technology in Education. Elizabethtown, PA. 2004.

• D. Chiu. Web-based Mathematics Education with MathChat. In Proceedings of the IEEE International Conference on Information Technology: Coding and Computing (ITCC’04). Las Vegas, NV. 2004. (Best Student Paper Award)

• D. Chiu, Y. Zhou, X. Zou, and P. S. Wang. Design, Implementation, and Processing Support of MeML. In Proceedings of the ACM ISSAC Workshop on Internet Accessible Mathematics Computation (IAMC’03), Philadelphia, PA, USA. July 2003.

PhD Dissertation

• D. Chiu. AUSPICE: Automatic Service Planning in Cloud/Grid Environments. Doctoral Dissertation. The Ohio State University, 2010. Pages 1 - 196. Dissertation Committee: Gagan Agrawal (Advisor), Christopher Stewart, Feng Qin, and Hakan Ferhatosmanoglu.

Research Awards

• Best Paper Award, IEEE/ACM BDCAT 2023
• Elevation to IEEE Senior Member, 2020
• Best Paper Finalist, IEEE/ACM BDCAT 2019
• Agricola Faculty Research Award, University of Puget Sound, 2019
• Best Paper Finalist, IEEE/ACM BDCAT 2018
• Kristine Bartanen Research Award, University of Puget Sound, 2017
• McCormick Faculty Research Award, University of Puget Sound, 2016, 2023
• Best Poster Award, Consortium for Computing Sciences in Colleges, Northwest Region, 2015
• Best Student Paper Finalist, International Conference on Web-based Education, 2005
• Best Student Paper Award, IEEE ITCC, 2004
• Best Student Paper Award, Conference on Information Technology in Education, 2004