Research Interests:

  • Modeling and Simulation  

  • Complex System

  • High Performance Computing

  • Bioinformatics

 
Publications:
[1]
Zhang, X., Mohamed, A., Nguyen, L, and Gu, F. Performance analysis of parallel/distributed particle filters, 2018 Spring Simulation Multi-Conference, 761-771, 2018. (TMS/DEVS 2018 best paper award)
[2] Gu, F. On-demand data assimilation of large-scale spatial temporal systems using sequential Monte Carlo methods. Simulation Modelling Practice and Theory, 85: 1-14, 2018.
[3] Dai, M., He, W., Tian, X., Giraldi, A., and Gu, F. Working with communities on social media varieties in the use of Facebook and Twitter by local police. Online Information Review, 41(6): 782-796, 2017.
[4] Yu, N., Yu, Z., Gu, F., and Pan, Y. Evaluating the impact of encoding schemes on deep auto-encoders for DNA annotation, 13th International Symposium on Bioinformatics Research and Applications, 390-395, 2017.
[5] Gu, F. Localized recursive spatial-temporal state quantification method for data assimilation of wildfire spread simulation. Simulation: Transactions of the Society for Modeling and Simulation International, 93(4): 343-360, 2017.
[6] Yu, N., Yu, Z., Gu, F., Li, T., Tian, X., and Pan, Y. Deep learning in genomic and medical image data analysis: challenges and approaches. J Inf Process Syst, 13(2): 204-214, 2017.
[7] Zhang, X., Huang, L., Ferguson-Hull, E., and Gu, F. Adaptive particle routing in parallel/distributed particle filters, 2017 Spring Simulation Multi-Conference, 580-589, 2017.
[8] Liao, S., Xiao, J., Xie, Y., and Gu, F. Towards use of electronic health records: Cancer classification, 2017 Spring Simulation Multi-Conference, 845-854,2017.
[9] Yu, N., Guo, X., Gu, F., and Pan, Y. Signalign: An ontology of DNA as signal for comparative gene structure prediction using information-coding-and-processing techniques. IEEE Transactions on NanoBioScience, 15(2): 119-130, 2016.
[10] Bai, F., Gu, F., Hu, X., and Guo, S. Particle routing in distributed particle filters for large-scale spatial temporal systems. IEEE Transactions on Parallel and Distributed Systems, 27(2): 483-491, 2016
.
[11] Gu, F., Syeda, R., and Ai, C. Geo-reference image data assimilation for wildfire spread simulation, 2016 Spring Simulation Multi-Conference, 78-85.
[12] Xie, X., Verbraeck, A., and Gu, F.
Data assimilation in discrete event simulations: a rollback based Sequential Monte Carlo approach, 2016 Spring Simulation Multi-Conference, 522-529, 2016.
[13] Yu, N., Yu, Z., Li, B., Gu, F., and Pan, Y. A comprehensive review of emerging computational methods for gene identification. Journal of Information Processing Systems, 21 (1): 1-34, 2016.
[15] Wu, S., Zhang, P., Li, F., Gu, F., and Pan, Y. A hybrid discrete particle swarm optimization-genetic algorithm for multi-task scheduling problem in service oriented manufacturing systems. Journal of Central South University, 23(2): 421-429, 2016.

[16] Gu, F., and Wang, X. Analysis of allele specific expression -- A Survey. Tsinghua Science and Technology, 20(5): 513-529, 2015.
[17] Gu, F., Butt, M., Ai, C., Shen, X., and Xiao, J. Adaptive particle filtering in data assimilation of wildfire spread simulation, 2015 Summer Simulation Multi-Conference, 159-168, 2015.
[18] Yu, N., Guo, X., and Gu, F., and Pan, Y. DNA AS X: An information-coding-based model to improve the sensitivity in comparative gene analysis, 11th International Symposium on Bioinformatics Research and Applications, 366-377, 2015.
[19] Yu, N., Gu, F., Guo, X., and He, Z. A fine-grained flow control model for cloud-assisted data broadcasting, CNS 2015, 2015 Spring Simulation Multi-Conference, 324-331, 2015.
[20] Gu, F. Adaptively perturbing localized state space in data assimilation of wildfire spread simulation. ANSS 2015, 2015 Spring Simulation Multi-Conference, 254-263, 2015. (Runner-up of the best paper award for ANSS 2015)

[21] Ai, C., Zhong, W., Yan, M., and Gu, F. A partner-matching framework for social activity communities. Computational Social Networks, 1:5, 2014.

[22]
Guo, X., Yu, N., Gu, F., Ding, X., Wang, J., and Pan, Y. Genome-wide interaction-based association of human Diseases-a survey. Tsinghua Science and Technology, Tsinghua Science and Technology, 9(16), 596-616, 2014.
[23] Ai, C., Zhong, W., Yan, M., and Gu, F. Partner matching applications of social networks. COCOON 2014: 647-656, 2014.
[24] Zheng, X., and Gu, F. Fast Fourier transform on FCC and BCC lattices with outputs on FCC and BCC lattices respectively, Journal of Mathematical Imaging and Vision, 49(3): 530-550, 2014.
[25] Yan, X., Gu, F., Hu, X., and Pan, Y. Dynamic formation control for autonomous underwater vehicles, Journal of Central South University, 2014(21):113-123, 2014.
[26]
Yan, X., Gu, F., Hu, X., and Engstrom, C. Dynamic data driven event reconstruction for traffic system using sequential Monte Carlo methods, 2013 Winter Simulation Conference, 2042-2053, 2013.
[27] Xue, H., Gu, F., Hu, X. Data assimilation using sequential Monte Carlo methods in wildfire spread simulation, ACM Transaction on Modeling and Computer Simulation, 22(4):23:1-25, 2012.
[28]
Gu, F., Hu, X. Analysis and quantification of data assimilation based on sequential Monte Carlo methods for wildfire spread simulation, International Journal of Modeling, Simulation, and Scientific Computing, 4, 445-468, 2010.
[29] Yan, X., Gu, F., Hu, X., Guo, S. A dynamic data driven application system for wildfire spread simulation, Proc. 2009 Winter Simulation Conference (WSC'09), 2009.
[30]
Yan, X., Chen, B., Qian, H., Gu, F., Hu, X. A handover scheme for subnet mobility in heterogeneous networks. World Conference on Engineering, 2009.
[31] Gu, F., Yan, X., Hu, X. State estimation using particle filters in wildfire spread simulation. Proc. 42nd Annual Simulation Symposium (ANSS), 2009 .
[32] Gu, F., Hu, X. Towards applications of particle filter in wildfire spread simulation. Proc. 2008 Winter Simulation Conference (WSC'08), 2008.
[33]
Gu, F., Hu, X., Ntaimo, L. Towards validation of DEVS-FIRE wildfire simulation model. Proc. High Performance Computing and Simulation Symposium (HPCS08), part of SpringSim'08, 2008.
[34]
Liu, C., Xie, T., Bi, H., and Gu, F. Analysis of MBO in Chinese corporations. Journals  of Beijing Institute of Machinery, 17(3): 83-87, 2002.
[35]
Gu, F., Lu, T. The study and implementation of web-based office automation. Journals  of Beijing Institute of Machinery, 17(3): 40-45, 2002.
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External Grants:
[1] Integrating NSF/IEEE-TCPP Curriculum Initiative on PDC to Software Engineering Course System at Beijing Normal University Zhuhai, NSF/IEEE, co-PI, $2,000, 2014-2015.
[2]
Integrating NSF/TCPP Curriculum Initiative on PDC into Undergraduate Courses at Guangdong University of Petrochemical Technology, NSF/IEEE, co-PI, $2,000, 2014-2015.
[3] Enhance Parallel and Distributed Computing Teaching by Infusing NSF/IEEE-TCPP Curriculum Initiative into the Existing Courses and Developing a New Course, NSF/IEEE, co-PI, $2,500, 2014-2015.
[4] Research Initiation Award: Spatial-temporal Information Fusion and Real-time Sensor Data Assimilation Using Sequential Monte Carlo Methods, NSF, PI, $199,884, 2013-2015.
[5] Experimentally Guided In-silico Analysis of Cellular Aggregate Fusion in Bioprinting, Grants for Exploratory Academic Research, South Carolina EPSCoR/IDeA, co-PI, $100,000, 2013-2014.
[6]
Modeling and Simulation of Fusion and Phase Evolution in Biofabrication Processes, Grants for Exploratory Academic Research, South Carolina EPSCoR/IDeA, co-PI, $85,000, 2011-2012.
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Professional Activities:

Peer Reviewer for the following journals and conferences

1. Pyhsica

2. International Journal of Simulation and Process Modelling

3. IEEE Transactions on Neural Networks and Learning Systems

4. Tsinghua Science and Technology

5. Transactions of Spatial Algorithms

6. IEEE INFOCOM 2016

7. Engineering Application of Artificial Intelligence

8. Symposium on Theory of Modeling and Simulation

9. IEEE INFOCOM 2015

10. IEEE/ACM Transactions on Computational Biology and Bioinformatics

11. IEEE INFOCOM 2014

12. ACM Transaction on Modeling and Computer Simulation

13. Symposium on Theory of Modeling and Simulation (TMS/DEVS) 2013

14. Intelligent Agent Technology 2013

15. 26th ACM/IEEE/SCS Workshop on Principles of Advanced and Distributed Simulation (PADS 2012)

16. 9th International Conference on Modeling, Optimization and SIMulation (MOSIM 2012)

17. International Journal of Agent Technologies and Systems

18. Simulation: Transactions of the Society for Modeling and Simulation International

19. International Journal of Modeling, Simulation, and Scientific Computing

20. International Journal of Knowledge and Systems Science

21. Agent-Directed Simulation Symposium 2011 (ADS 2011)

22. Huntsville Simulation Conference 2010

 

Member of Scientific Working Group Board of SC EPSCoR/IDeA

Technical Program Committee and Session Chair

1. Tools with Artificial Intelligence (ICTAI), 2018 IEEE 30th International Conference on (IEEE ICTAI 2018), TPC

2. Winter Simulation Conference 2018 (WSC 2018), TPC

3. Annual Simulation Symposium 2018 (ANSS 2018), TPC

4. International Conference on Cloud and Big Data Computing (ICCBDA 2018), TPC

5. Tools with Artificial Intelligence (ICTAI), 2017 IEEE 29th International Conference on (IEEE ICTAI 2017), TPC

6. Winter Simulation Conference 2017 (WSC 2017), TPC

7. The 2nd IEEE International Conference on Cloud Computing and Big Data Analysis (ICCCBDA 2017), TPC

8. International Conference on Cloud and Big Data Computing (ICCBDC 2017), TPC

9. Annual Simulation Symposium  (ANSS 2017), TPC

10. Symposium on Theory of Modeling and Simulation 2017 (TMS/DEVS 2017), TPC

11. The 6th IEEE International Conference on Big Data and Cloud Computing (BDCloud 2016), TPC

12. Tools with Artificial Intelligence (ICTAI), 2016 IEEE 28th International Conference on (IEEE ICTAI 2016), TPC

13. 13th ACS/IEEE International Conference on Computer Systems and Applications (AICCSA 2016), TPC

14. The 1st International Workshop on Dew Computing (DEWCOM 2016), TPC

15. Annual Simulation Symposium  2016 (ANSS 2016), TPC

16. Symposium on Theory of Modeling and Simulation 2016 (TMS/DEVS 2016), TPC

17. Winter Simulation Conference 2015 (WSC 2015), TPC

18. The 36 IEEE Sarnoff Symposium 2015, Demos/Exhibits co-chair

19. 3rd International IMB Cloud Academy Conference 2015 (ICACON 2015), TPC

20. 5th International Conference on Simulation and Modeling Methodologies, Technologies and Applications (SIMULTECH 2015), TPC

21. Symposium on Theory of Modeling and Simulation 2015 (TMS/DEVS 2015), TPC and session chair

22.  4th International Conference on Simulation and Modeling Methodologies, Technologies and Applications (SIMULTECH 2014), TPC

23.Winter Simulation Conference 2014 (WSC 2014), TPC

24. ACM Southeast Conference 2014 (ACMSE 2014), TPC and session chair

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Presentations:
[1] Performance analysis of parallel/distributed particle filters, 2018 Spring Simulation Multi-Conference, Baltimore, MD, April 15-18, 2018.
[2] Evaluating the impact of encoding schemes on deep auto-encoders for DNA annotation, 13th International Symposium on Bioinformatics Research and Applications, Honolulu, HI, May 3-June 2, 2017.
[3] Adaptive particle routing in parallel/distributed particle filters, 2017 Spring Simulation Multi-Conference, Virginia Beach, VA, April 23-26, 2017.
[4] Towards use of electronic health records: Cancer classification, 2017 Spring Simulation Multi-Conference, 2017 Spring Simulation Multi-Conference, Virginia Beach, VA, April 23-26, 2017.
[5] Geo-reference image data assimilation for wildfire spread simulation, 2016 Spring Simulation Multi-Conference, Pasadena, CA, April 3-6, 2016.
[6] Data assimilation in discrete event simulations: a rollback based Sequential Monte Carlo approach, 2016 Spring Simulation Multi-Conference, Pasadena, CA, April 3-6, 2016.
[7] Adaptive particle filtering in data assimilation of wildfire spread simulation, 2015 Summer Simulation Multi-Conference, Chicago, IL, July 26-29, 2015,

[8] A fine-grained flow control model for cloud-assisted data broadcasting, 2015 Spring Simulation Multi-Conference, Alexandria, VA, April 12-15, 2015.

[9]
Adaptively perturbing localized state space in data assimilation of wildfire spread simulation, 2015 Spring Simulation Multi-Conference, Alexandria, VA, April 12-15, 2015.
[10]
Dynamic data driven application system for wildfire spread simulation, Beijing Normal University Zhuhai, Zhuhai, China, June 2014.
[11] Dynamic data driven application system for wildfire spread simulation, Civil Aviation University of China, Tianjin, China, June 2014.
[12] Dynamic data driven application system for wildfire spread simulation, Tianjin University, Tianjin, China, December 2013.
[13]
Dynamic data driven event reconstruction for traffic system using sequential Monte Carlo methods, 2013 Winter Simulation Conference (WSC'13), Washington, D.C., December 8-11, 2013.
[14]
Dynamic data driven application system for wildfire spread simulation, Jiangsu Normal University, Xuzhou, Jiangsu, China, December 2012.
[15] A dynamic data driven application system for wildfire spread simulation, 2009 Winter Simulation Conference (WSC'09), Austin, TX, December 13-26, 2009.
[16]
State estimation using particle filters in wildfire spread simulation, 42nd Annual Simulation Symposium (ANSS), San Diego, CA, March 22-27, 2009.
[17] Towards applications of particle filter in wildfire spread simulation, 2008 Winter Simulation Conference, Miami, FL, December 7-10, 2008.
[18] Towards validation of DEVS-FIRE wildfire simulation model, HPCS 2008, Ottawa, Canada, April 14-16, 2008.
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