dhr. dr. Z. (Zhiming) Zhao


  • Faculteit der Natuurwetenschappen, Wiskunde en Informatica
    Informatics Institute
  • Bezoekadres
    Science Park A
    Science Park 904  Kamernummer: C3.145
  • Postadres:
    Postbus  94323
    1090 GH  Amsterdam
  • Z.Zhao@uva.nl
    T: 0205257599

Zhiming Zhao is currently a senior researcher in the group of System and Network Engineering ( SNE) at University of Amsterdam ( UvA). He obtained his bachelor and master degrees in Computer Science from Nanjing Normal University ( NJNU) and East China Normal University ( ECNU) in 1993 and 1996 in China respectively. He obtained his Ph.D. in Computer Science from University of Amsterdam (UvA) in 2004. He has strong research interest in advanced computing and network technologies, time critical and data intensive systems, Cloud computing, scientific workflows and software agents. He coordinates research and development activities in the EU H2020 project  SWITCH (Software Workbench for interactive time critical and highly self-adaptive cloud applications), and in the “Data for Science” theme in the EU H2020 environmental science cluster project ENVRIPlus. He also leads the research tasks of research sustainability in the EU H2020 VRE4EIC project, and of semantic linking in the EU FP7  ENVRI project.

2018

  • Li, J., Yang, Y., Wang, X., Zhao, Z., & Li, T. (2018). A novel parallel distance metric-based approach for diversified ranking on large graphs. Future Generation Computer Systems, 88, 79-91. DOI: 10.1016/j.future.2018.05.031  [details] 
  • Jiang, W., Zhai, Y., Martin, P., & Zhao, Z. (2018). Structure Properties of Generalized Farey graphs based on Dynamical Systems for Networks. Scientific Reports, 8, [12194]. DOI: 10.1038/s41598-018-30712-2  [details] 
  • Zhou, H., Hu, Y., Su, J., de Laat, C. T. A. M., & Zhao, Z. (2018). Empowering Dynamic Task-based Applications with Agile Virtual Infrastructure Programmability. In International Conference on Cloud IEEE. DOI: doi.org:10.1109/CLOUD.2018.00068 
  • Koulouzis, S., Carval, T., Martin, P., Grenier, B., Chen, Y., Heikkinen, J., & Zhao, Z. (2018). Dynamic Optimization for Time-critical Data Services: A Case Study in Euro-Argo Research Infrastructure. In EGU General Assembly Conference Abstracts (Vol. 20, pp. 16012). (EGU General Assembly Conference Abstracts).
  • Nieva de la Hidalga, A., Hardisty, A. R., Magagna, B., Martin, P. W., & Zhao, Z. (2018). Use of the ENVRI Reference Model to Support the Design of Environmental Research Infrastructures. In EGU General Assembly Conference Abstracts (Vol. 20, pp. 18552). (EGU General Assembly Conference Abstracts).
  • Taherizadeh, S., Jones, A. C., Taylor, I., Zhao, Z., & Stankovski, V. (2018). Monitoring self-adaptive applications within edge computing frameworks: A state-of-the-art review. Journal of Systems and Software, 136, 19-38. DOI: 10.1016/j.jss.2017.10.033  [details] 
  • Koulouzis, S., Mousa, R., Karakannas, A., Laat, C. D., & Zhao, Z. (2018). Information Centric Networking for Sharing and Accessing Digital Objects with Persistent Identifiers on Data Infrastructures. In 2018 18th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID) (pp. 661-668). IEEE. DOI: 10.1109/CCGRID.2018.00098 
  • Zhou, H., Taal, A., Koulouzis, S., Wang, J., Hu, Y., Suciu, G., ... Zhao, Z. (2018). Dynamic Real-Time Infrastructure Planning and Deployment for Disaster Early Warning Systems. In Y. Shi, H. Fu, Y. Tian, V. V. Krzhizhanovskaya, M. H. Lees, J. Dongarra, & P. M. A. Sloot (Eds.), Computational Science – ICCS 2018: 18th International Conference, Wuxi, China, June 11–13, 2018 : proceedings (Vol. 2, pp. 644-654). (Lecture Notes in Computer Science; Vol. 10861). Cham: Springer. DOI: 10.1007/978-3-319-93701-4_51  [details] 
  • Jiang, W., Zhai, Y., Zhuang, Z., Martin, P., Zhao, Z., & Liu, J-B. (2018). Vertex Labeling and Routing for Farey-Type Symmetrically-Structured Graphs. Symmetry, 10(9), [407]. DOI: 10.3390/sym10090407  [details] 

2017

  • Kutsch, W. L., Zhao, Z., Hardisty, A., Hellström, M., Chin, Y., Magagna, B., ... Atkinson, M. (2017). Data interoperabilty between European Environmental Research Infrastructures and their contribution to global data networks. In AGU Fall Meeting Abstracts (AGU Fall Meeting Abstracts).
  • Hu, Y., Wang, J., Zhou, H., Martin, P., Taal, A., de Laat, C., & Zhao, Z. (2017). Deadline-Aware Deployment for Time Critical Applications in Clouds. In F. F. Rivera, T. F. Pena, & J. C. Cabaleiro (Eds.), Euro-Par 2017: Parallel Processing: 23rd International Conference on Parallel and Distributed Computing, Santiago de Compostela, Spain, August 28-September 1, 2017 : proceedings (pp. 345-357). ( Lecture Notes in Computer Science; Vol. 10417), (Advanced Research in Computing and Software Science). Cham: Springer. DOI: 10.1007/978-3-319-64203-1_25  [details] 
  • Martin, P., Chen, Y., Hardisty, A., Jeffery, K., & Zhao, Z. (2017). Computational Challenges in Global Environmental Research Infrastructures. In A. Chabbi, & H. W. Loescher (Eds.), Terrestrial Ecosystem Research Infrastructures: Challenges and Opportunities (pp. 305-340). Boca Raton: CRC Press. DOI: 10.1201/9781315368252  [details] 

2016

  • Koulouzis, S., Belloum, A. S. Z., Bubak, M. T., Zhao, Z., Živković, M., & de Laat, C. T. A. M. (2016). SDN-aware federation of distributed data. Future Generation Computer Systems, 56, 64-76. DOI: 10.1016/j.future.2015.09.032  [details] 
  • Martin, P., Taal, A., Quevedo, F., Rogers, D., Evans, K., Jones, A., ... Zhao, Z. (2016). Information modelling and semantic linking for a software workbench for interactive, time critical and self-adaptive cloud applications. In L. Barolli, M. Takizawa, T. Enokido, A. J. Jara, & Y. Bocchi (Eds.), Proceedings IEEE 30th International Conference on Advanced Information Networking and Applications Workshops: WAINA 2016 : 23-25 March 2016, Crans-Montana, Switzerland (pp. 127-132). Los Alamitos, California: IEEE Computer Society. DOI: 10.1109/WAINA.2016.38  [details] 
  • Casale, G., Chesta, C., Deussen, P., Di Nitto, E., Gouvas, P., Koussouris, S., ... Zhao, Z. (2016). Current and Future Challenges of Software Engineering for Services and Applications. Procedia Computer Science, 97, 34–42. DOI: 10.1016/j.procs.2016.08.278  [details] 
  • Petcu, D., Fazio, M., Prodan, R., Zhao, Z., & Rak, M. (2016). On the Next Generations of Infrastructure-as-a-Services. In J. Cardoso, D. Ferguson, V. Méndez Muñoz, & M. Helfert (Eds.), CLOSER 2016: proceedings of the 6th International Conference on Cloud Computing and Services Science: April 23-25, 2016, Rome, Italy (Vol. 1, pp. 320-326). SciTePress Science and Technology Publications. DOI: 10.5220/0005912503200326 

2015

  • Zhu, H., van der Veldt, K., Zhao, Z., Grosso, P., Pavlov, D., Soeurt, J., ... de Laat, C. (2015). A semantic enhanced Power Budget Calculator for distributed computing using IEEE 802.3az. Cluster Computing, 18(1), 61-77. DOI: 10.1007/s10586-014-0395-7  [details] 
  • Martin, P., Grosso, P., Magagna, B., Schentz, H., Chen, Y., Hardisty, A., ... Zhao, Z. (2015). Open Information Linking for Environmental Research Infrastructures. In Proceedings, 11th IEEE International Conference on eScience: 31 August-4 September 2015, Munich, Germany (pp. 513-520). Los Alamitos, California: IEEE Computer Society. DOI: 10.1109/eScience.2015.66  [details] 
  • Zhao, Z., Martin, P., Grosso, P., Los, W., de Laat, C., Jeffrey, K., ... Kutsch, W. (2015). Reference Model Guided System Design and Implementation for Interoperable Environmental Research Infrastructures. In Proceedings, 11th IEEE International Conference on eScience: 31 August-4 September 2015, Munich, Germany (pp. 551-556). Los Alamitos, California: IEEE Computer Society. DOI: 10.1109/eScience.2015.41  [details] 
  • Zhao, Z., Martin, P., Wang, J., Taal, A., Jones, A., Taylor, I., ... de Laat, C. (2015). Developing and operating time critical applications in clouds: the state of the art and the SWITCH approach. Procedia Computer Science, 68, 17-28. DOI: 10.1016/j.procs.2015.09.220  [details] 
  • Zhao, Z., Taal, A., Jones, A., Taylor, I., Stankovski, V., Hidalgo, F. J., ... de Laat, C. (2015). A Software Workbench for Interactive, Time Critical and Highly self-adaptive cloud applications (SWITCH). In 2015 IEEE/ACM 15th International Symposium on Cluster, Cloud and Grid Computing : CCGrid 2015: proceedings : 4-7 May 2015, Shenzhen, China (pp. 1181-1184). Los Alamitos, California: IEEE Computer Society. DOI: 10.1109/CCGrid.2015.73  [details] 
  • Jeferry, K., Kousiouris, G., Kyriazis, D., Altmann, J., Ciuffoletti, A., Maglogiannis, I., ... Zhao, Z. (2015). Challenges emerging from future cloud application scenarios. Procedia Computer Science, 68, 227-237. DOI: 10.1016/j.procs.2015.09.238  [details] 

2013

  • Dumitru, C., Zhao, Z., Grosso, P., & de Laat, C. (2013). HybridFlow: Towards intelligent video delivery and processing over hybrid infrastructures. In Proceedings of the 2013 International Conference on Collaboration Technologies and Systems: May 20-24, 2013, Sheraton San Diego Hotel & Marina, San Diego, California (pp. 473-478). IEEE. DOI: 10.1109/CTS.2013.6567271 
  • Ghijsen, M., van der Ham, J., Grosso, P., Dumitru, C., Zhu, H., Zhao, Z., & de Laat, C. (2013). A semantic-web approach for modeling computing infrastructures. Computers & Electrical Engineering, 39(8), 2553-2565. DOI: 10.1016/j.compeleceng.2013.08.011  [details] 
  • Jiang, W., Zhao, Z., & de Laat, M. (2013). An Autonomous Security Storage Solution for Data-Intensive Cooperative Cloud Computing. In IEEE 9th International Conference on eScience (eScience) (pp. 369-372). IEEE.
  • Jiang, W., Zhao, Z., Wibisono, A., Grosso, P., & de Laat, M. (2013). Dynamic Workflow Planning on Programmable Infrastructure. In IEEE Eighth International Conference on Networking, Architecture and Storage (NAS) (pp. 326-330). IEEE.
  • Chen, Y., Hardisty, A., Preece, A., Martin, M., Atkinson, M., Zhao, Z., ... Legre, Y. (2013). Analysis of Common Requirements for Environmental Science Research Infrastructures. In The International Symposium on Grids and Clouds (ISGC)
  • Chen, Y., Martin, P., Schentz, H., Magagna, B., Zhao, Z., Hardisty, A., ... Legre, Y. (2013). Building a common reference model for environmental science research infrastructures. In Proceedings of EnviroInfo2013

2012

  • Demchenko, Y., Zhao, Z., Grosso, P., Wibisono, A., & de Laat, C. (2012). Addressing big data challenges for scientific data infrastructure. In 4th IEEE International Conference on Cloud Computing Technology and Science proceedings (CloudCom2012): Taipei, Taiwan, 3-6 December 2012 (pp. 614-617). Piscataway, NJ: IEEE. DOI: 10.1109/CloudCom.2012.6427494  [details] 
  • Zhao, Z., Dumitru, C., Grosso, P., & de Laat, C. (2012). Network resource control for data intensive applications in heterogeneous infrastructures. In Proceedings of the 2012 IEEE 26th International Parallel and Distributed Processing Symposium Workshop: IPDPS 2012 (pp. 2069-2076). Piscataway, NJ: The Institute of Electrical and Electronics Engineers (IEEE). DOI: 10.1109/IPDPSW.2012.243  [details] 
  • Zhao, Z., Grosso, P., & de Laat, C. (2012). OEIRM: An Open Distributed Processing based Interoperability Reference Model for e-Science. In J. J. Park, A. Zomaya, S-S. Yeo, & S. Sahni (Eds.), Network and Parallel Computing: 9th IFIP International Conference, NPC 2012, Gwangju, Korea, September 6-8, 2012 : proceedings (pp. 437-444). (Lecture Notes in Computer Science; Vol. 7513). Heidelberg: Springer. DOI: 10.1007/978-3-642-35606-3_52  [details] 
  • Zhao, Z., Grosso, P., van der Ham, J., & de Laat, C. (2012). Quality guaranteed media delivery over advanced network. In G. Fortino, & C. E. Palau (Eds.), Next generation content delivery infrastructure: emerging paradigms and technologies (pp. 121-146). Hershey PA: IGI Global. DOI: 10.4018/978-1-4666-1794-0.ch006  [details] 
  • Zhao, Z., van der Ham, J., Taal, A., Koning, R., Dumitru, C., Wibisono, A., ... de Laat, C. (2012). Planning data intensive workflows on inter-domain resources using the Network Service Interface (NSI). In 2012 SC companion: high performance computing, networking, storage and analysis (SCC 2012): Salt Lake City, Utah, USA, 10 - 16 November 2012 (pp. 150-156). Los Alamitos, California: IEEE. DOI: 10.1109/SC.Companion.2012.30  [details] 
  • Zhu, H., van der Veldt, K., Grosso, P., Zhao, Z., Liao, X., & de Laat, C. (2012). Energy-aware semantic modeling in large scale infrastructures. In Work in Progress Sessions (WiP): the 2012 IEEE International Conference on Internet of Things (iThings 2012), the 2012 IEEE International Conference on Cyber, Physical and Social Computing (CPSCom 2012), the 2012 IEEE International Conference on Green Computing and Communications (GreenCom 2012): 20-23 November 2012, Besançon, France (pp. 11-14). [S.l.]: IEEE [etc.]. [details] 
  • Pavlov, D., Soeurt, J., Grosso, P., Zhao, Z., van der Veldt, K., Zhu, H., & de Laat, C. (2012). Towards energy efficient data intensive computing using IEEE 802.3az. In 2012 SC companion: high performance computing, networking, storage and analysis (SCC 2012) : Salt Lake City, Utah, USA, 10 - 16 November 2012 (pp. 806-810). Los Alamitos, California: IEEE. DOI: 10.1109/SC.Companion.2012.112  [details] 

2011

  • Belloum, A., Inda, M. A., Vasunin, D., Korkhov, V., Zhao, Z., Rauwerda, H., ... Hertzberger, L. O. (2011). Collaborative e-Science Experiments and Scientific Workflows. IEEE Internet Computing, 15(4), 39-47. DOI: 10.1109/MIC.2011.87  [details] 
  • Zhao, Z., Grosso, P., van der Ham, J., Koning, R., & de Laat, C. (2011). An agent based network resource planner for workflow applications. Multiagent and Grid Systems, 7(6), 187-202. DOI: 10.3233/MGS-2011-0180  [details] 
  • Zhao, Z., Taal, A., Grosso, P., & de Laat, C. (2011). Resource discovery in large scale network infrastructure. In the Sixth IEEE international conference on Networking, Architecture, and Storage (pp. 186-190). Dalian China: IEEE Conference Publishing Services. DOI: 10.1109/NAS.2011.43  [details] 

2010

  • Zhao, Z., Grosso, P., Koning, R., van der Ham, J., & de Laat, C. (2010). An agent based planner for including network QoS in scientific workflows. In M. Ganzha, & M. Paprzycki (Eds.), Proceedings of the International Multiconference on Computer Science and Information Technology (IMCSIT 2010) (pp. 231-238). Piscataway, NJ: IEEE. [details] 
  • Zhao, Z., Grosso, P., Koning, R., van der Ham, J., & de Laat, C. (2010). An architecture including network QoS in scientific workflows. In Proceedings of the 9th International Conference on Grid and Cloud Computing (GCC 2010) (pp. 104-109). Los Alamitos, CA: IEEE Computer Society. DOI: 10.1109/GCC.2010.32  [details] 
  • Zhao, Z., Grosso, P., Koning, R., van der Ham, J., & de Laat, C. (2010). Network resource selection for data transfer processes in scientific workflows. In The 5th Workshop on Workflows in Support of Large-Scale Science IEEE. DOI: 10.1109/WORKS.2010.5671840  [details] 
  • Lu, S., Deelman, E., & Zhao, Z. (2010). Scientific workflows special issue: preface. In International journal of business process integration and management (Vol. 5, pp. 1-2). Inderscience Enterprises Ltd.. [details] 

2008

  • Wibisono, A., Zhao, Z., Belloum, A., & Bubak, M. (2008). A framework for interactive parameter sweep applications. Lecture Notes in Computer Science, 5103, 481-490. DOI: 10.1007/978-3-540-69389-5_55  [details] 
  • Wibisono, A., Zhao, Z., Belloum, A., & Bubak, M. (2008). Towards a Virtual Laboratory for interactive parameter sweep applications on the Grid. In M. Bubak, M. Turała, & K. Wiatr (Eds.), Cracow'07 Grid Workshop: October 15-17, 2007 Cracow, Poland: proceedings (pp. 266-271). Kraków: Academic Computer Centre CYFRONET AGH. [details] 
  • Zhao, Z., Belloum, A., Bubak, M., & Hertzberger, B. (2008). Support for cooperative experiments in VL-e: from scientific workflows to knowledge sharing. In Fourth IEEE International Conference on eScience (eScience 2008) (pp. 329-330). Los Alamitos, CA: IEEE Computer Society. DOI: 10.1109/eScience.2008.120  [details] 

2018

  • Zhou, H., de Laat, C. T. A. M., & Zhao, Z. (2018). CloudsStorm: An Application-driven DevOps Framework for Managing Networked Infrastructures on Federated Clouds. Paper presented at the 3rd edition in the series of workshop on Interoperable infrastructures for interdisciplinary big data sciences (IT4RIs 18), Amsterdam, Netherlands.
  • Hu, Y., Zhou, H., de Laat, C., Zhao, Z., Aldinucci, M. (Ed.), Padovani, L. (Ed.), & Torquati, M. (Ed.) (2018). ECSched: Efficient Container Scheduling on Heterogeneous Clusters. 365-377.

2017

  • Koulouzis, S., Martin, P. W., Carval, T., Grenier, B., Judeau, G., Wang, J., ... Zhao, Z. (2017). Seamless Infrastructure Customisation and Performance Optimisation for Time-critical Services in Data Infrastructures. Paper presented at the Eighth International Workshop on Data-Intensive Computing in the Clouds, in the context of Supercomputing, Denver, United States.
  • Wang, J., Zhou, H., Hu, Y., de Laat, C. T. A. M., & Zhao, Z. (2017). Deadline-Aware Coflow Scheduling in a DAG. Paper presented at NetCom workshop in the context IEEE CloudCom, Hongkong, China.
  • Martin, P. W., Jones, A., Taylor, I., Stankovski, V., George, S. G., Ulisses, A., ... de Laat, C. T. A. M. (2017). Developing, provisioning and controlling time critical applications in Cloud. Paper presented at EU Project track at ESOCC17, Oslo, Norway.
  • Wang, J., Taal, A., Martin, P., Hu, Y., Zhou, H., Pang, J., ... Zhao, Z. (2017). Planning virtual infrastructures for time critical applications with multiple deadline constraints. Future Generation Computer Systems, 75, 365-375. DOI: 10.1016/j.future.2017.02.001  [details] 
  • Elzinga, O., Koulouzis, S., Hu, Y., Wang, J., Zhou, H., Martin, P. W., ... Zhao, Z. (2017). Automatic collector for dynamic cloud performance Information. Paper presented at IEEE Networking, Architecture and Storage (NAS) 2017, Shenzhen, China.

2016

  • Zhou, H., Hu, Y., Wang, J., Martin, P., de Laat, C., & Zhao, Z. (2016). Fast and Dynamic Resource Provisioning for Quality Critical Cloud Applications. In 2016 IEEE 19th International Symposium on Real-Time Distributed Computing : proceedings: ISORC 2016 : 17-20 May 2016, York, United Kingdom (pp. 92-99). Los Alamitos, California: IEEE Computer Society. DOI: 10.1109/ISORC.2016.22  [details] 
  • Taherizadeh, S., Jones, A., Taylor, I., Zhao, Z., Martin, P., & Stankovski, V. (2016). Runtime Network-level Monitoring Framework in the Adaptation of Distributed Time-critical Cloud Applications. In H. Arabnia, H. Ishii, K. Joe, & H. Nishikawa (Eds.), PDPTA 2016: proceedings of the 2016 International Conference on Parallel and Distributed Processing Techniques and Applications, Las Vegas, Nevada, USA, July 25-28, 2016 (pp. 78-83). CSREA Press. DOI: 10.5281/zenodo.53869  [details] 

2015

  • Evans, K., Jones, A., Preece, A., Quevedo, F., Rogers, D., Spasić, I., ... Zhao, Z. (2015). Dynamically Reconfigurable Workflows for Time-Critical Applications. In Proceedings of WORKS 2015: the 10th Workshop on Workflows in Support of Large-Scale Science: November 15, 2015 [7] New York, NY: Association for Computing Machinery. DOI: 10.1145/2822332.2822339 
  • Morken, R., Martin, P., & Zhao, Z. (2015). Contemporary Challenges for Data-intensive Scientific Workflow Management Systems. In Proceedings of WORKS 2015: the 10th Workshop on Workflows in Support of Large-Scale Science: November 15, 2015 [4] New York, NY: Association for Computing Machinery. DOI: 10.1145/2822332.2822336 

2013

  • Belloum, A. S. Z., Cushing, R., Koulouzis, S., Korkhov, V., Vasunin, D., Guevara-Masis, V., ... Bubak, M. (2013). Support for Cooperative Experiments in e-Science: From Scientific Workflows to Knowledge Sharing. In I. Roterman-Konieczna (Ed.), Identification of ligand binding site and protein-protein interaction area (pp. 135-159). (Focus on structural biology; No. 8). Dordrecht: Springer. DOI: 10.1007/978-94-007-5285-6_7  [details] 

2008

  • Belloum, A., Zhao, Z., & Bubak, M. (2008). International Workshop on Applications of Workflows in Computational Science (AWCS 08). Lecture Notes in Computer Science, 5103, 459-462. DOI: 10.1007/978-3-540-69389-5_52  [details] 

2016

  • Zhao, Z., Martin, P. W., de Laat, C., Jeffery, K., Jones, A., Hardisty, A., ... Chen, Y. (2016). Time critical requirements and technical considerations for advanced support environments for data-intensive research. Paper presented at International workshop on Interoperable infrastructures for interdisciplinary big data sciences, Porto, Portugal.DOI: 10.5281/zenodo.204756 
  • Zhou, H., Martin, P. W., Su, J., de Laat, C., & Zhao, Z. (2016). A Flexible Inter-locale Virtual Cloud For Nearly Real-time Big Data Applications. Paper presented at International workshop on Interoperable infrastructures for interdisciplinary big data sciences, Porto, Portugal.DOI: 10.5281/zenodo.204774 
  • Zhou, H., Hu, Y., Wang, J., Martin, P. W., Su, J., de Laat, C. T. A. M., & Zhao, Z. (2016). Fast Resource Co-provisioning for Time Critical Application Based on Networked Infrastructure. Paper presented at IEEE International Conference on CLOUD (CLOUD) , .

2012

  • Demchenko, Y., Zhao, Z., Grosso, P., Wibisono, A., & de Laat, C. T. A. M. (2012). Big data challenges for e-science infrastructure. Paper presented at The 7th International Conference on Cooperation and Promotion of Information Resources in Science and Technology (COINFO'12): Open Sharing in Cloud Context, .

Tijdschriftredactie

  • Lu, S. (editor), Deelman, E. (editor) & Zhao, Z. (editor) (2010). International Journal of Business Process Integration and Management (Journal).
  • Belloum, A. S. Z. (editor), Deelman, E. (editor) & Zhao, Z. (editor) (2006). Journal of Scientific Programming (Journal).

Andere

  • Zhao, Z. (chair), Prodan, R. (organiser), Keith, J. (organiser) & Ulisses, A. (organiser) (18-1-2018). the 3rd edition in the series of workshop on Interoperable infrastructures for interdisciplinary big data sciences (IT4RIs 18), Amsterdam, Netherlands. Real-time applications (disaster warning and response, traffic flow control, weather monitoring and forecasting, etc.) are among the most challenging (…) (organising a conference, workshop, ...).
  • Zhao, Z. (chair), Prodan, R. (organiser), Jeffery, K. (organiser) & Ulisses, A. (organiser) (18-1-2018). the 3rd edition in the series of workshop on Interoperable infrastructures for interdisciplinary big data sciences (IT4RIs 18), Amsterdam, Netherlands. Time critical applications and infrastructure optimization the 3rd edition in the series of workshop on Interoperable infrastructures for (…) (organising a conference, workshop, ...).
  • Zhao, Z. (participant) (29-11-2016). International workshop on Interoperable infrastructures for interdisciplinary big data sciences, Porto, Portugal (organising a conference, workshop, ...).
  • Zhao, Z. (chair), Atkinson, M. (organiser) & Jeffery, K. (organiser) (2015). 1st International workshop on Interoperable infrastructures for interdisciplinary big data research (IT4RIs), IEEE e-Science 2015 (organising a conference, workshop, ...).
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