Welcome to Fan Zhang's Home Page

 

Contact Information

 

 

Fan Zhang (张帆)
Senior Software Engineer
Watson Core Platform Service

IBM Massachusetts Labratory

550 King Street
Littleton, MA 01460
United States of America

Office: +1-(617)-324-5250
Mobile: +1-(617)-230-0686
Email: fzhang at us.ibm.com


Research Affiliate
Laser Interferometer Gravitational Wave Observatory

Kavli Institute for Astrophysics and Space Research
Massachusetts Institute of Technology (麻省理工学院)

185 Albany Street, NW22-272
Cambridge, MA 02139
United States of America

Office: +1-(617)-324-5250
Mobile: +1-(617)-230-0686
Email: f_zhang at mit.edu OR fan.zhang at ligo.org

 

News

* Our MIT project Laser Interferometer Gravitational-Wave Observatory (LIGO) has detected the gravitational waves. Congratulations!!! For over 6 years, I’ve been working as a major contributor of the Data Analysis and SoftWare Group (DASWG), releasing all the LIGO software packages, managing thousands of nodes compute cluster and performing daily data analysis extensively and intensively.

* I joined IBM Watson Core Platform Service as a Senior Software Engineer in January 2015. I am also an unpaid Research Affiliate with the MIT LIGO Lab. My major responsilities in IBM include:

1. Architect and develop cognitive capabilities on the cloud with RESTful API interfaces.
2. Research and develop cloud-native design principles comprising of micro-services architecture, auto-recovery and high availability automation.
3. Architect and develop core services accelerating development of other cognitive capabilities on the cloud.
4. Architect and develop automation frameworks for capacity management and auto-scaling.

* My O1-A visa (Individuals with Extraordinary Ability or Achievement) application has been approved by the USCIS in November, 2014.

* We got a paper accepted in Elsevier JPDC in November, 2014.

* We got two papers accepted in IEEE TPDS, FGCS in October, 2014.

* We got three papers accepted in IEEE TETC, TCC and FGCS in June, 2014.

Employment

2015.01-Now      Senior Software Engineer, Watson Core Platform Service, IBM Massachusetts Labratory
2015.01-Now       Research Affiliate, Kavli Institute for Astrophysics and Space Research, MIT
2013.03-2014.12     Postdoctoral Associate, Kavli Institute for Astrophysics and Space Research, MIT
2014.01-2014.09     Visiting Associate Professor, Chinese Academy of Science
2011.11-2013.06     Research Project Scientist, Dept of Computer Science, Carnegie Mellon University
2010.01-2011.01     Researcher Intern, Cloud & SaaS Incubation Center, IBM China Development Laboratory

 
Education
2007.09-2012.01         Ph.D. in Control Science and Computer Engineering, Tsinghua University, China
2010.09-2011.07         Berkeley-Tsinghua Global Technology Entrepreneurship Program, Tsinghua & UC Berkeley
2005.09-2007.07         M.S. in Control Science, Huazhong University of Science & Technology, China
2001.09-2005.07         B.S. in Computer Science, Hubei University of Technology, China
 
Honours and Awards

2014.07         Education Faculty Grant, Amazon Web Service ($15,000)
2013.10         Honorarium Research Funding Award, University of Chicago and Argonne National Lab
2013.06         Service Meritorious Award, IEEE Transactions on Service Computing
2011-2012     IBM Ph.D. Fellowship Award (50+ awardees globally, 10 in Greater China)
2010-2011     IBM Ph.D. Fellowship Award (50+ awardees globally, 8 in Greater China)
2008.12         National Award of Archive Science and Technology, China
 

Patents and Software Copyrights
2012.03        F. Zhang, J. Cao, “Hybrid multi-tenancy cloud platform” US Patent: US20140040999
2011.01         J. Cao, F. Zhang, “Local Access to Cloud-Based Storage” US Patent: US20130275470
2009.07         J. Cao, F. Zhang, “Fast Tuning Configuration Parameters in Distributed Computing Systems” Chinese Patent, application #: 201210048342.1, publication #: 101609416
2009.04         J. Cao, F. Zhang, “A method to schedule dynamic workloads in cloud platforms”Chinese Patent, application #: 200910088225.6, publication #: 102611622
2009.04         J. Cao, F. Zhang, K. Xu, “GridPiAnalyzer, Analyzing and Verifying Grid Workflow” Chinese Software Copyright: 2009SRBJ5042
2008.05         J. Cao, F. Zhang, C. Wu, “Modeling Software of Workflow Management System” Chinese Software Copyright: 2009SRBJ5041
 
Research Interests (Key words: Big data, Cloud Computing, Gravitational Data Analysis, Programming Models)
  • I am feeling comfortable with collecting, storing, processing, analyzing and visualizing big-data workloads up to several Terabytes per day. Specifically, my research has long been focused on characterizing, tuning and optimizing big-data applications such as Hadoop MapReduce, Giraph Pregel, Graphlab, etc.
     
  • I am also expertise in novel programming models that address and support the needs in cloud computing, such as elasticity, concurrency, streaming and real-time. My previous work primarily focuses on managing and orchestrating virtualized resource provisioning for fluctuating workloads in elastic cloud platforms.
     
  • I’ve been extensively exposed in different scientific domains, such as gravitational-data analysis (the MIT LIGO project), genome sequencing data analysis (the UChicago Globus Genomic project) and computing platform data analysis (The IBM Watson project).
     
Skills
  • Big data analytics including gravitational data, genomic sequencing data, healthcare data and HPC/HTC log data
     
  • Solid skills with Java, C/C++, data structure, SQL, Linux system administration
     
  • Hands on experience with Amazon Web Services (EC2, S3, DynamoDB, Elastic MapReduce), big-data programming models (MapReduce, Pregel, Graphlab), open source big-data tools (Hadoop, HBase, Pig, Zookeeper, Whirr), monitoring systems (Ganglia), visualization tools (amcharts, D3, Kartograph, etc).
     
  • Hands-on skills with software repository management (Yum, Deb, rpmbuild, etc)
     
  • Solid mathematical and optimization skills: calculus, matrix, probability theory, operation research, etc.
     
  • Rich experience in writing English papers and reports & English oral communication
     
Publications (Total Citation number: 3248 as of Sept. 2016, h-index 27, only published and accepted papers are listed here)

Publications in Computer Science

  • 28. F. Zhang, M. F. Sakr, K. Hwang, and S. U. Khan, "Empirical Discovery of Power-Law Distribution in MapReduce Scalability," IEEE Transactions on Cloud Computing. IEEE Transactions on Cloud Computing, 2016, in press.
     
  • 27. M. U. S. Khan, O. Khalid, Y. Huang, F. Zhang, R. Ranjan, S. U. Khan, J. Cao, K. Li, B. Veeravalli, and A. Zomaya, "MacroServ: A Route Recommendation Service for Large-Scale Evacuations," IEEE Transactions on Services Computing. PP(99), November 2015 (SCI IF: 1.985)
     
  • 26. F. Zhang, K. Hwang, S. U. Khan, Q. Malluhi, "Skyline Discovery and Composition of Inter-Cloud Mashup Services," IEEE Transactions on Service Computing, 9(1):72-83, 2015. (SCI IF: 1.985)
     
  • 25. R. Irfan, O. Khalid, M. Khan, C. Chira, R. Ranjan, F. Zhang, S. Khan, B. Veeravalli, K. Li, A. Zomaya, "MobiContext: a Context-aware Cloud-based Recommendation Framework," IEEE Transactions on Cloud Computing, 2016, in press.
     
  • 24. L. Zhang, K. Li, Y. Xu, F. Zhang, and Keqin Li, "Maximizing Reliability with Energy Conservation for Parallel Task Scheduling in a Heterogeneous Cluster," Information Sciences, 319: 113-131,  2015, (Impact Factor: 3.969)
     
  • 23. K. Li, W. Ai, Z. Tang, F. Zhang, L. Jiang, K. Li, K. Hwang, “Hadoop Recognition of Biomedical Named Entity Using Conditional Random Fields”, IEEE Transactions on Parallel and Distributed Systems, 26(11):3040-3051, 2015. (SCI IF: 2.173)
     
  • 22. F. Zhang, Q. Malluhi, T. Elsayed, S. U. Khan, K. Li, A. Y. Zomaya. “CloudFlow: Data-aware Programming Model for Cloud Workflow Applications on Modern HPC Systems”, Future Generation Computer Systems, 51: 98-110, 2015. (SCI IF: 2.639)
     
  • 21. F. Zhang, J. Cao, W. Tan, S. U. Khan, K. Li, and A. Y. Zomaya. "Evolutionary Scheduling of Dynamic Multitasking Workloads for Big-data Analytics in Elastic Cloud", IEEE Transactions on Emerging Topics in Computing, 2(3), 338-351, July-September 2014. (This is the spotlight paper of the issue and highlighted on the journal home page and available to the public for free for 90 days.)
     
  • 20. F. Zhang, J. Cao, K. Hwang, K. Li, S. U. Khan. “Adaptive Workflow Scheduling on Cloud Computing Platforms with Iterative Ordinal Optimization”, IEEE Transactions on Cloud Computing, 3(2):156-168, 2014.
     
  • 19. F. Zhang, J. Cao, S. U. Khan, K. Li, K. Hwang. “A Task-level Adaptive MapReduce Framework for Real-time Streaming Data in Healthcare Applications”, Future Generation Computer Systems, 43: 149-160, 2014. (SCI IF: 2.639)
     
  • 18. F. Zhang, M. F. Sakr, "Performance Variations in Resource Scaling for MapReduce Applications on Private and Public Clouds" In Proceedings of The 7th IEEE International Conference on Cloud Computing (IEEE Cloud 2014), Alaska, USA, June 2014.  (Acceptance Rate: 30%)
     
  • 17. F. Zhang, J. Cao, K. Li, S. U. Khan, K. Hwang. “Multi-Objective Scheduling of Many Tasks in Cloud Platforms” Future Generation Computer Systems, 37: 309-320, July 2013 (SCI IF: 2.639)
     
  • 16. F. Zhang, M. F. Sakr, "Cluster-size Scaling and MapReduce Execution Times" In Proceedings of The International Conference on Cloud Computing and Science (CloudCom 2013), Bristol, UK, December 2013.  (Acceptance Rate: 17.8%)
     
  • 15. F. Zhang, Q. M. Malluhi, T. Elsayed, “ConMR: Concurrent MapReduce Programming Model for Large Scale Shared-Data Applications”, 42nd International Conference on Parallel Processing (ICPP 2013), Lyon, France, October, 2013.
     
  • 14. F. Zhang, M. F. Sakr, "Dataset Scaling and MapReduce Performance", Workshop on Large-Scale Parallel Processing (LSPP'13) held at the 27th IEEE International Parallel and Distributed Processing Symposium (IPDPS), Boston, USA, May, 2013.
     
  • 13. F. Zhang, J. Cao, C. Hong, L. Liu, and C. Wu, “Redundant Virtual Machines Management in Virtualized Cloud Platform”, International Journal on Modeling, Simulation, and Scientific Computing 2(2), 151-168, 2011.
     
  • 12. J. J. Mulcahy, S. Huang, J. Cao, and F. Zhang, “How Are You Feeling? A Social Network Model to Monitor the Health of Post-Operative and Remote Patients”, Proc. IEEE International Systems Conference, 149-154, Montreal, Canada, 2011.
     
  • 11. F. Zhang, J. Cao, K. Hwang, and C. Wu, “Ordinal Optimized Scheduling of Scientific Workflows in Elastic Compute Clouds”, Proc. 3rd IEEE International Conference on Cloud Computing Technology and Science (CloudCom 2011), 9-17, Athens, Greece, 2011(acceptance rate: 24%).
     
  • 10. F. Zhang, J. Cao, C. Hong, J. Mulcahy, and C. Wu, “Adaptive Virtual Machine Provisioning in Elastic Multi-tier Cloud Platforms, Adaptive Resource Provisioning in Virtualized Cloud Platforms”, International Journal of Web Services Research (IJWSR). 8(3):54-69, 2011 (SCI IF: 1.053).
     
  • 9. F. Zhang, J. Cao, C. Hong, J. Mulcahy, and C. Wu, “Adaptive Virtual Machine Provisioning in Elastic Multi-tier Cloud Platforms”, 6th IEEE International Conference on Networking, Architecture, and Storage, 11-19, DaLian, China, 2011(acceptance rate: 31%).
     
  • 8. F. Zhang, J. Cao, L. Liu and C. Wu, “Fast Autotuning Configurations in Distributed Computing Systems using Ordinal Optimization”, Tsinghua Science and Technology. 16(4), 440-448, 2011.
     
  • 7. J. Cao, F. Zhang, K. Xu, L. Liu and C. Wu, “Formal Verification of Temporal Properties for Reduced Overhead in Grid Scientific Workflows”, Journal of Computer Science & Technology. 26(6), 1017-1030, 2011. (SCI IF: 0.586).
     
  • 6. F. Zhang, J. Cao, L. Liu, and C. Wu, “Adjacent Matrix based Deduction for Grid Workflow Applications”,1st International Conference on Networking and Distributed Computing, 349-356, HangZhou, China, 2010(ICNDC 2010 acceptance rate: 19%).
     
  • 5. C. Zhao, J. Cao, H. Wu, and F. Zhang, “Cost Estimation of Advance Reservations over Queued Jobs: a Quantitative Study”, International Journal of Modeling, Simulation, and Scientific Computing, 1(3). 317-332, 2010.
     
  • 4. F. Zhang, J. Cao, X. Song, H. Cai, and C. Wu, “AMREF: An Adaptive MapReduce Framework for Real Time Applications”, 9th International Conference on Grid and Cloud Computing, 157-162, Nanjing, China, 2010.
     
  • 3. F. Zhang, J. Cao, L. Liu, and C. Wu, “Fast Autotuning Configurations of Parameters in Distributed Computing Systems using OO”, 38th International Conference on Parallel Processing Workshops, 190-197, Vienna, Austria, 2009.
     
  • 2. J. Cao, F. Zhang, K. Xu, L. Liu, and C. Wu. In L. Wang and J. Chen (Eds.), “From Enabling to Ensuring Grid Workflows”, Quantitative Quality of Service for Grid Computing: Applications for Heterogeneity, Large-Scale Distribution, and Dynamic Environments, 46-73, IGI Publishing, 2009.
     
  • 1. F. Zhang, J. Cao, L. Liu, and C. Wu, “Qualification Evaluation in Virtual Organizations Based on Fuzzy Analytic Hierarchy Process”, 7th International Conference on Grid and Corporative Computing, 539-547, ShenZhen, China, 2008.
     
Publications as a member of LIGO Science Collaboraton (LSC)
  • 36. F. Zhang in LIGO Scientific Collaboration and Virgo Collaboration. "Observation of Gravitational Waves from a Binary Black Hole Merger", Physical Review Letters, 116, 061102 (2016) (Congratulations, we have deleted the gravitational waves!!! The first gravitational detection paper !!!)
     
  • 35. F. Zhang in LIGO Scientific Collaboration and Virgo Collaboration. "Searches for continuous gravitational waves from nine young supernova remnants", The Astrophysical Journal, 813(2015)1, 39, (SCI IF: 6.733)
     
  • 34. F. Zhang in LIGO Scientific Collaboration and Virgo Collaboration. "Astrophysical Implications of the Binary Black-Hole Merger GW150914", Astrophysical Journal Supplement Series, 818, L22, 2016.
     
  • 33. F. Zhang in LIGO Scientific Collaboration and Virgo Collaboration. "Advanced LIGO", Classical Quantum Gravity, 32 (2015) 074001. (SCI IF: 3.562)
  • 32. F. Zhang in LIGO Scientific Collaboration and Virgo Collaboration. "A directed search for gravitational waves from Scorpius X-1 with initial LIGO", Physical Review D, 91 (2015) 062008, (SCI IF: 3.562)
  • 31. F. Zhang in LIGO Scientific Collaboration and Virgo Collaboration. "Narrow-band search of continuous gravitational-wave signals from Crab and Vela pulsars in Virgo VSR4 data", Physical Review D, 91 (2015) 022004, (SCI IF: 3.562)
  • 30. F. Zhang in LIGO Scientific Collaboration and Virgo Collaboration. "Characterization of the LIGO detectors during their sixth science run", Classical Quantum Gravity, 32 (2015) 105012. (SCI IF: 3.562)
  • 29. F. Zhang in LIGO Scientific Collaboration and Virgo Collaboration. "Improved Upper Limits on the Stochastic Gravitational-Wave Background from 2009-2010 LIGO and Virgo Data", Physical Review Letters, 113 (2014) 231101. (SCI IF: 7.328)
  • 28. F. Zhang in LIGO Scientific Collaboration and Virgo Collaboration. "Gravitational-waves from known pulsars: results from the initial detector era", Astrophysical Journal, 785 (2014) 119. (SCI IF: 6.280)
  • 27. F. Zhang in LIGO Scientific Collaboration and Virgo Collaboration. "Implementation of an F-statistic all-sky search for continuous gravitational waves in Virgo VSR1 data", Classical Quantum Gravity, 31 (2014) 165014. (SCI IF: 3.562)
  • 26. F. Zhang in LIGO Scientific Collaboration and Virgo Collaboration. "Multimessenger Search for Sources of Gravitational Waves and High-energy Neutrinos: Results for Initial LIGO-Virgo and IceCube", Physical Review D, 90 (2014) 102002. (SCI IF: 3.562)
  • 25. F. Zhang in LIGO Scientific Collaboration and Virgo Collaboration. "First all-sky search for continuous gravitational waves from unknown sources in binary systems", Physical Review D, 90 (2014), 062010. (SCI IF: 3.562)
  • 24. F. Zhang in LIGO Scientific Collaboration and Virgo Collaboration. “Search for gravitational wave ringdowns from perturbed intermediate mass black holes in LIGO-Virgo data from 2005–2010”, Physical Review D, 89 (2014) 102006. (SCI IF: 3.562)
     
  • 23. F. Zhang in LIGO Scientific Collaboration and Virgo Collaboration. “Methods and results of a search for gravitational waves associated with gamma-ray bursts using the GEO600, LIGO, and Virgo detectors”, Physical Review D, 89 (2014), 122004. (SCI IF: 3.562)
     
  • 22. F. Zhang in LIGO Scientific Collaboration and Virgo Collaboration. “Application of a Hough search for continuous gravitational waves on data from the fifth LIGO science run”, Classical Quantum Gravity, 31 (2014) 085014. (SCI IF: 3.562)
     
  • 21. F. Zhang in LIGO Scientific Collaboration and Virgo Collaboration. “Search for gravitational radiation from intermediate mass black hole binaries in data from the second LIGO-Virgo joint science run”, Physical Review D, 89 (2014) 122003. (SCI IF: 4.691)
     
  • 20. F. Zhang in LIGO Scientific Collaboration and Virgo Collaboration. “Search for gravitational waves associated with gamma-ray bursts detected by the InterPlanetary Network”, Physical Review Letters, 113 (2014) 011102. (SCI IF: 7.328)
     
  • 19. F. Zhang in LIGO Scientific Collaboration and Virgo Collaboration. “First searches for optical counterparts to gravitational-wave candidate events”. The Astrophysical Journal Supplement Series, 211 (1), 1-25. (SCI IF: 16.238)
     
  • 18. F. Zhang in LIGO Scientific Collaboration and Virgo Collaboration. “The NINJA-2 project: Detecting and characterizing gravitational waveforms modelled using numerical binary black hole simulations”, Classical Quantum Gravity, 31 (2014) 115004 (SCI IF: 3.562)
  • 17. F. Zhang in LIGO Scientific Collaboration and Virgo Collaboration. “Search for long-lived gravitational-wave transients coincident with long gamma-ray bursts”, Physical Review D, 88(2013) 122004 (SCI IF: 4.691)
     
  • 16. F. Zhang in LIGO Scientific Collaboration and Virgo Collaboration. “Constraints on cosmic (super) strings from the LIGO-Virgo gravitational-wave detectors”, Physical Review Letters, 112 (2014) 131101 (SCI IF: 7.328)
     
  • 15. F. Zhang in LIGO Scientific Collaboration and Virgo Collaboration. “Parameter estimation for compact binary coalescence signals with the first generation gravitational-wave detector network”, Physical Review D, 88(2013) 062001. (SCI IF: 4.691)
     
  • 14. F. Zhang in LIGO Scientific Collaboration and Virgo Collaboration. “Enhanced sensitivity of the LIGO gravitational wave detector by using squeezed states of light”, Nature Photonics, 7 (8), 613-619. (SCI IF: 27.254)
     
  • 13. F. Zhang in LIGO Scientific Collaboration and Virgo Collaboration. “Search for Gravitational Waves from Binary Black Hole Inspiral, Merger and Ringdown in LIGO-Virgo Data from 2009-2010”, Physical Review D, 87(2), 022002(15), 2013. (SCI IF: 4.691)
     
  • 12. F. Zhang in LIGO Scientific Collaboration and Virgo Collaboration. “A First Search for Coincident Gravitational Waves and High Energy Neutrinos using LIGO, Virgo and ANTARES Data from 2007”, Journal Cosmology and Astroparticle Physics, 13(06), 008(39), 2013. (SCI IF: 6.036)
     
  • 11. F. Zhang in LIGO Scientific Collaboration and Virgo Collaboration. “Einstein@ Home all-sky search for periodic gravitational waves in LIGO S5 data”. Physical Review D, 87 (4), 042001, 2013. (SCI IF: 4.691)
     
  • 10. F. Zhang in LIGO Scientific Collaboration and Virgo Collaboration. Swift Follow-Up Observations Of Candidate Gravitational-Wave Transient Events”, The Astrophysical Journal Supplement Series, 203(2), 28(14), 2012. (SCI IF: 16.238)
     
  • 9. F. Zhang in LIGO Scientific Collaboration and Virgo Collaboration. Search for Gravitational Waves Associated with Gamma-ray Bursts during LIGO Science Run 6 and Virgo Science Run 2 and 3”, The Astrophysical Journal, 760(1), 12(18), 2012. (SCI IF: 6.733)
     
  • 8. F. Zhang in LIGO Scientific Collaboration and Virgo Collaboration. “The characterization of Virgo data and its impact on gravitational-wave searches”, Classical and Quantum Gravity, 29, 155002, 2012. (SCI IF: 3.562)
     
  • 7. F. Zhang in LIGO Scientific Collaboration and Virgo Collaboration. “All-sky search for gravitational-wave bursts in the second joint LIGO-Virgo run”, Physical Review D, 85, 122007, 2012. (SCI IF: 4.691)
     
  • 6. F. Zhang in LIGO Scientific Collaboration and Virgo Collaboration. “Search for gravitational waves from intermediate mass binary black holes”, Physical Review D, 85, 102004, 2012. (SCI IF: 4.691)
     
  • 5. F. Zhang in LIGO Scientific Collaboration and Virgo Collaboration. “Upper limits on a stochastic gravitational-wave background using LIGO and Virgo interferometers at 600–1000 Hz”, Physical Review D, 85, 122001, 2012. (SCI IF: 4.691)
     
  • 4. F. Zhang in LIGO Scientific Collaboration and Virgo Collaboration. “First low-latency LIGO+Virgo search for binary inspirals and their electromagnetic counterparts”, Astronomy & Astrophysics, 541, A155, 2012. (SCI IF: 5.084)
     
  • 3. F. Zhang in LIGO Scientific Collaboration and Virgo Collaboration. “Search for gravitational waves from low mass compact binary coalescence in LIGO’s sixth science run and Virgo’s science runs 2 and 3”, Physical Review D, 85, 082002, 2012. (SCI IF: 4.691)
     
  • 2. F. Zhang in LIGO Scientific Collaboration and Virgo Collaboration. “Implementation and Testing of the First Prompt Search for Gravitational Wave Transients with Electromagnetic Counterparts”, Astronomy & Astrophysics, 539, A124, 2012. (SCI IF: 5.084)
     
  • 1. F. Zhang in LIGO Scientific Collaboration and Virgo Collaboration. “All-sky Search for Periodic Gravitational Waves in the Full S5 LIGO Data”, Physical Review D, 85, 022001, 2012. (SCI IF: 4.691)
Service
  • Publicity Co-Chair: IEEE International Conference on Frontiers of Information Technology (FIT)
  • Program Co-Chair: the Fifth Intl. Conf. on Networking and Distributed Computing, Cambridge, MA 02139, USA
  • Senior Member, IEEE since 2013
  • Member, ACM since 2012
  • Member, LIGO Scientific Collaboration since 2009
  • Reviewer, IEEE Transactions on Computers, IEEE Transactions on Parallel and Distributed Systems, IEEE Transactions on Service Computing, Journal Parallel and Distributed Systems
     
Invited Talks
  • "Performance Variations in Resource Scaling for MapReduce Applications on Private and Public Clouds", Shenzhen Institute of Advanced Technology, Chinese Academy of Science, October 29, 2014
     
  • "Research Outline for MapReduce-based Theories and Applications", Department of Computer Science, Shanghai Jiaotong University, October 8, 2014
     
  • "ConMR: Concurrent MapReduce Programming Model for Large Scale Shared-Data Applications", Colleage of Information Science and Engineering, Hunan University, October 23, 2014
     
  • "Research Onlines on Big data and Programming Models", Shanghai Jiaotong University, October 8, 2014.
     
  • "Implementation of Real Time Processing Pipelines for Big Data Analytic Applications", Health Informatics Research, IBM T. J. Watson Research Center, March 2014
     
  • "Summer Course Series for Undergraduate and Graduate Students", Colleage of Information Science and Engineering, Hunan University, June 18-23, 2014.
     
  • “Performance Variations in Resource Scaling for MapReduce Applications on Private and Public Clouds”, Colleage of Information Science and Engineering, Hunan University, Jan, 2014.
     
  • “Performance Variations in Resource Scaling for MapReduce Applications on Private and Public Clouds”, Graduate School of Shenzhen, Tsinghua University, Jan, 2014.
     
  • “Investigation of Cloud Computing Solutions for Massive Computation in Gravitational-wave Astrophysics”, Division of Physics, Mathematics and Astronomy, Caltech, Pasadena, CA. November 2013.
     
  • “Characterization of MapReduce Applications on Private and Public Cloud Platforms”, Qatar Computing Research Institute, Doha, Qatar. June 2013.
     
  • “Characterization of MapReduce Applications on Private and Public Cloud Platforms”, University of Chicago, Chicago, IL. May 2013.
     
  • “Research Outline in Big Data and Cloud Computing”, Bell Labs Research, Dublin, Ireland. March 2013.
     
  • “ConMR: Concurrent MapReduce Programming Model for Large Scale Shared-Data Applications”, Qatar Annual Research Forum, Qatar National Convention Center, Doha, Qatar, October 2012.
     
PRESENTATION
  • “Performance Variations in Resource Scaling for MapReduce Applications on Private and Public Clouds”, the 7th IEEE International Conference on Cloud Computing, Alaska, USA, June 2014.
     
  • “LSC Software Repository Management”, Face-to-Face meeting of the Data Analysis Software Working Group at the University of Wisconsin, Milwauklee. Nov. 2013.
     
  • “Cluster-size Scaling and MapReduce Execution Times”, the 5th IEEE International Conference on Cloud Computing Technology and Science, Bristol, UK, December 2013.
     
  • “Dataset Scaling and MapReduce Performance”, Workshop on Large-Scale Parallel Processing held at the 27th IEEE International Parallel and Distributed Processing Symposium, Boston, USA, May, 2013.
     
  • “Ordinal Optimized Scheduling of Scientific Workflows in Elastic Compute Clouds”, the 3rd IEEE International Conference on Cloud Computing Technology and Science, Athens, Greece, 2011.
     
  • “Adjacent Matrix based Deduction for Grid Workflow Applications”,1st International Conference on Networking and Distributed Computing, HangZhou, China, 2010.
     
  • “AMREF: An Adaptive MapReduce Framework for Real Time Applications”, 9th International Conference on Grid and Cloud Computing, Nanjing, China, 2011.
     
  • “Qualification Evaluation in Virtual Organizations Based on Fuzzy Analytic Hierarchy Process”, 7th International Conference on Grid and Corporative Computing, ShenZhen, China, 2008.