Yuzhang Han

 

Faculty of Computer Science

University of Vienna

Vienna, Austria

WWW: http://cs.univie.ac.at/sc-team/infpers/hany4/

Email: han@par.univie.ac.at

Research Interests

 

Broad interest in cloud and grid computing, data mining, distributed system, data stream processing and embedded systems.

Research

Experience

 

 

Scientific Publications

Coauthored in English one book chapter and 18 international conference papers. A selected list of my publications has been submitted to the online application system separately.

 

Algorithms

Designed and implemented

  • a DES-based load-balancing algorithm for distributed OLAP databases.
  • a cloud workflow optimization algorithm (described in item [5] in my publication list in the C.V. section “Selected Publication List”).

 

Cloud and grid computing

Designed and implemented

  • a private cloud including 30 compute nodes using Nimbus [1].
  • various kinds of cloud and grid applications for data mining, stream processing, sensor networking and model visualization [2, 3, 8, 10, 11].

 

Data mining

Designed and implemented

  • a distributed and parallel cloud-based decision tree application based on the SPRINT algorithm [3].
  • a distributed and parallel grid-based Back-Propagation Neural Network application using the parallel language Titanium [8].
  • a fuzzy Back-Propagation Neural Network application on FPGA [9].

 

Data stream processing

Designed and implemented

  • a cloud-based platform for data stream analysis and processing [2].
  • a sensor network with stream processing and persistence functions using distributed OLAP databases.

Employment

 

Faculty of Computer Science, University of Vienna

 

Research Staff

 March 2011 - present

 

Research Assistant

March  2006 - March 2011

 

Teaching Assistant

October 2008 - present

March  2006 - January 2007

Education

 

University of Vienna

October 2009

Bachelor of Science

Major: Technical Computer Science

Teaching Experience

 

As Teaching Assistant at the Faculty of Computer Science, University of Vienna

 

Graduate course “Advanced Software Engineering”

4 semesters, 2 hours/week

 

Course “Software Engineering”

1 semester, 2 hours/week

 

Course “Scientific Data Management”

4 semesters, 4 hours/week

 

Course “Theoretical Computer Science”

1 semesters, 3 hours/week

Skills

 

Languages

English, German and Chinese.

 

Programming

  • Object-oriented language: Java, C and C++, Groovy
  • Parallel programming languages: Titanium (a Java-like parallel language using MPI libraries, developed by UC Berkley).
  • Hardware design language: VHDL.
  • Assembly language: languages for ATMega family microcontrollers and for AMD assemblers.

 

Cloud/grid related tools

  • Nimbus, Eucalyptus and OpenNebula: used to establish different types of clouds with 5-30 nodes.
  • Globus Toolkit v4: used to establish a grid with two clusters.

 

Data mining and stream processing tools

  • Esper: a stream management tool, used in teaching the course “Scientific Data Management”.
  • Weka: used its neural network module to build a cloud-based data mining platform [1]; used in teaching the course “Scientific Data Management”.
  • MOA: a stream mining tool, used to construct a cloud-based stream processing platform [2].

 

Web services

Practically familiar with SOAP and RESTful Web services.

Selected Publication List

 

Published Book Chapter

[1]The CloudMiner - Moving Data Mining into Computational Clouds

Andrzej Goscinski, Ivan Janciak, Yuzhang Han and Peter Brezany

Chapter 10 in book "Grid and Cloud Database Management", Springer Berlin, ISBN 978-3-642-20044-1 (2011), pages 193-214

URL: not available

Published Conference Papers

[2]Stream Management within the CloudMiner

Yuzhang Han, Peter Brezany and Andrzej Goscinski

In: Proceedings of the 11th International Conference on Algorithms and Architectures for Parallel Processing (ICA3PP), Melbourne, Australia (2011)

URL: still not available

[3]Cloud-Enabled Scalable Decision Tree Construction

Yuzhang Han, Peter Brezany and Ivan Janciak

In: Proceedings of the International Conference on Semantic, Knowledge and Grid, China (2009), pages 128 – 135

URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5368024

[4]An Ant-Colony-Optimization Based Approach for Determination of Parameter Significance of Scientific Workflows

Fakhri Alam Khan, Yuzhang Han, Peter Brezany and Sabri Pllana

In: Proceedings of the 24th IEEE International Conference on Advanced Information Networking and Applications, Perth, Australia (2010), pages 1241 - 1248

URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5474854

[5]Estimation of Parameters Sensitivity for Scientific Workflows

Fakhri Alam Khan, Yuzhang Han, Peter Brezany and Sabri Pllana

In: Proceedings of the International Conference on Parallel Processing Workshops, Vienna, Austria (2009), pages 457 - 462

URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5364798

[6]Provenance Support for Grid-Enabled Scientific Workflows

Fakhri Alam Khan, Yuzhang Han, Sabri Pllana and Peter Brezany

In: Proceedings of the 2008 Fourth international Conference on Semantics, Knowledge and Grid, Beijing, China (2008), pages 173 - 180

URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4725911

[7]Inside the NIGM Grid Service: Implementation, Evaluation and Extension

Peter Brezany and Ibrahim Elsayed and Yuzhang Han et al.

In: Proceedings of the SKG’08: 2008 Fourth International Conference on Semantics, Knowledge and Grid, 3-5 Dec 2008, Beijing, China (2008), pages 314 - 321

URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4725930

[8]Parallel and Distributed Grid Services for Building Classification Models Based on Neural Networks

Peter Brezany, Ivan Janciak and Yuzhang Han

In: Proceedings of the 2nd Austrian Grid Symposium, Innsbruck, Austria (2007)

URL: not available

[9]On Fuzzily-Processed-BP-Network-Based Dual-Mode Control with Realization on On-line   Reconfigurable FPGA

Yuzhang Han, Zhuo Ruan and Jianguo Han

In: Proceedings of International Conference on Neural Networks and Brain, Beijing, China (2005), pages 841 - 846

URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1614753

Papers to be submitted or being reviewed

[10]Cloud-Based Data Stream Management in Distributed Systems

Yuzhang Han, Peter Brezany, Andrzej Goscinski and Lei Yan

To be submitted to Journal of Parallel and Distributed Computing, Elsvier, IF=1.078

[11]OLAP-Based Data Stream Handling in a Distributed Sensor Network

Yuzhang Han and Peter Brezany

Submitted to the 11th ACM/IEEE Conference on Information Processing in Sensor Networks. Beijing, April, 2012.