Computational Biology & Bioinformatics, Personalized Medicine.
Human Microbiome & Medical Ecology, Cancer Genomics,
Biological Network Analysis, Evolutionary Game Theory;
Computational Intelligence & Cognitive Science;
Reliability, Survivability, and Strategic Information Warfare;
GP-GPU High Performance Computing & Cloud Computing

Professional Services

 (1)  Member of “Faculty 1000 of Biology and Medicine” www.f1000.com

 (2)  Editor-in-Chief for “I. J. of Computational Microbiology and Medical Ecology” http://www.inderscience.com/ijcmme

 (3)   Editor-in-Chief for “I. J. of Cyberspace Sciences & Emergency Management” http://www.inderscience.com/ijcsem

 (1) National Science Foundation of China (NFSC) grant: “The Ecological Theater and the Evolutionary Computing Play” (PI, 2012-2015)

 (2) National Science Foundation of China (NFSC) grant: “Rapid biodiversity measurement with  metagenetics.” (2012-2015) (PI: Douglas Yu)

 (3) Special Funding for the High-profile Researcher in Science and Technology by Yunnan Province:  “GP-GPU Computing for Computational Bioinformatics and Personalized Medicine” (PI, 2012-2015)

 (4) Innovative Research Initiative of the Synergy between the Natural and Computational Evolutions  of CAS-Yunan Province (PI, 2012-2015)

 (5) Funding for the Top Talents Program of Yunnan Province (PI, 2012-2015)

[1]  Ma, Z. S. (2012). Stochastic populations, power law and fitness aggregation in Genetic Algorithms. Fundamenta Informaticae, vol. 122(3), pp173-206

[2] Ma, Z. S.  2012. Chaotic populations in Genetic Algorithms. Applied Soft Computing, 12(8): 2409-2424. 

[3] Ma, Z. S. 2012. A unified definition for reliability, survivability and resilience inspired by the handicap principle and ecological stability. International Journal of Critical Infrastructures, 8(2):242-272.
      
[4] Ma, Z. S. et al. 2012. A Bird's Eye View of Microbial Community Dynamics. In “Microbial Ecological Theory:
Current Perspectives.” Caister Academic Press, Editor: Lesley A. Ogilvie and Penny R. Hirsch.
             
[5] Ye, Chengxi, Zhanshan (Sam) Ma, Charles H. Cannon, Mihai Pop and Douglas W. Yu. 2012.  Exploiting sparseness in de novo genome assembly. BMC Bioinformatics, 13(Suppl 6):S1.

[6] Gajer, Pawel, Rebecca M. Brotman, Guoyun Bai, Joyce Sakamoto, Ursel M. E. Schütte, Xue Zhong, Sara S. K. Koenig, Li Fu, Zhanshan (Sam) Ma, Xia Zhou, Zaid Abdo, Larry J. Forney and Jacques Ravel. 2012. Temporal Dynamics of the Human Vaginal Microbiota. Science Translational Medicine. 4:(132): 132ra52.

[7] Ma, Z. S. A Note on Extending Taylor’s Power Law for Characterizing Human Microbial Communities: Inspiration from Comparative Studies on the Distribution Patterns of Insects and Galaxies, and as a Case Study for Medical Ecology and Personalized Medicine. http://adsabs.harvard.edu/abs/2012arXiv1205.3504M

[8] Ye, D, D, M. M., Fan, Q. Guan, H. J. Chen, & Z. S. Ma. 2012. A review on the bioinformatics pipelines for metagenomic research [text in Chinese]. Zoological Research, 33(6): 574-85.

[9] Ma, Z. S. & A. W. Krings. 2011. Dynamic hybrid fault modeling and extended evolutionary Game theory for reliability, survivability and fault tolerance analyses. IEEE Transactions on Reliability. vol. 60(1):180-196.

[10] Ma, Z. S. 2011. Ecological ‘theater’ for evolutionary computing ‘play’: some insights from population ecology and evolutionary ecology. I. Journal of Bio-Inspired Computing 4(1):31-55.

[11] Ma, Z. S. 2011. Did we miss some evidence of chaos in laboratory insect populations? Population Ecology, 53:405–412.

[12] Ma, Z. S. 2011. Frailty modeling for risk analysis in network security and survivability.
I. J. Computer and Information Security, 4:276-294.  

[13] Ma, Z. S. et al. 2011. Insect navigation and communication in flight and migration: a potential model for joining and collision avoidance in MAVs (Micro-Aerial Vehicle) and mobile robots fleet control. 
Proc. of the 32nd IEEE-AIAA Aerospace Conference. 14pp, Big Sky, Montana, USA.

[14] Ye, C. X., Z. S. Ma, C. Canon, M. Pop, D. W. Yu. 2011. SparseAssembler: de novo Assembly with the Sparse de Bruijn Graph. http://arxiv.org/abs/1106.2603

[15] Ye, C. X., C. Cannon, Z. S. Ma, D. W. Yu, and M. Pop. 2011. SparseAssembler2: Sparse k-mer Graph for Memory Efficient Genome Assembly. http://arxiv.org/abs/1108.3556.

[16] Ma, Z. S., H. J. Chen, J. J. Zhang, A. W. Krings, F. Sheldon. 2011. Has the cyber warfare threat been overstated? A cheap talk game-theoretic perspective on the Google-hacking claim.  The 7th Cyberspace Sciences and Information Intelligence Research Workshop, 7th CSIIRW11. October 14-16, 2011. Oak Ridge National Lab, Oak Ridge, USA.

[17] Ma, Z. S. 2010. Is Strategic Information Warfare Really Asymmetric? —a New Perspective from the Handicap Principle. Journal of Information Warfare, 9(3): 51-61.

[18] Ma, Z. S., et al. Logics in Animal Cognition: Are They Important to Brain Computer Interfaces (BCI) and Future Space Missions? Proc. 31st IEEE-AIAA Aerospace Conference 2010, 8pp. Big Sky, Montana, USA.

[19] Zhou, X. et al. 2010. Recent Advances in Understanding the Microbiology of the Female Reproductive Tract and the Causes of Premature Birth. Infectious Diseases in Obstetrics and Gynecology, vol. 2010, Article ID 737425, 10 pages.

[20] Ma, Z. S., et al. (2011). Caring about trees in the forest: incorporating frailty in risk analysis for personalized medicine. Personalized Medicine, 8(6): 681-688