ภาควิชาวิศวกรรมอุตสาหการ

คณะวิศวกรรมศาสตร์ สถาบันเทคโนโลยีพระจอมเกล้าเจ้าคุณทหารลาดกระบัง
เลขที่ 1 ซอยฉลองกรุง 1 ถนนฉลองกรุง แขวงลาดกระบัง เขตลาดกระบัง กรุงเทพฯ 10520
โทร. 02-329-8339 โทรสาร. 02-329-8340

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ดร.ภาสุ พูนภักดี

 

ดร.ภาสุ พูนภักดี

Dr. Pasu Poonpakdee

 

Education

· Ph.D. (Computer Science)

University of Reading, UK

· MSc (Software Engineering) University of Portsmouth, UK

· วศ.บ. (วิศวกรรมซอฟต์แวร์และความรู้) มหาวิทยาลัยเกษตรศาสตร์

 

Research Interest

· Software Application for Industrial

· Industry 4.0

· Blockchain Technology

· Epidemic (Gossip) Protocols

· Extreme-Scale Network Systems

 

Contact

โทรศัพท์: 02-329-8339

Email: pasu.po@kmitl.ac.th, pasu.poonpakdee@googlemail.com

Publications

[1]   Poonpakdee, P., Koiwanit, J., Yuangyai, C., Chatwiriya, W. (2018). Applying epidemic algorithm for financial service based on Blockchain technology, in The Fourth International Conference on Engineering, Applied Sciences and Technology (ICEAST2018). July 4-7, 2018, Phuket, Thailand.

 

[2]   Poonpakdee, P., Koiwanit, J., Yuangyai, C. (2018). Epidemic Algorithms on Distributed Systems Towards Industry 4.0, in The 21st International Computer Science and Engineering Conference (ICSEC 2017). November 15-18, 2017, Bangkok, Thailand.

 

[3]   Poonpakdee, P., Koiwanit, J. (2018). Accuracy of Distributed Systems Towards Industry 4.0: Smart Grids and Urban Drainage Systems Case Studies, in International Journal of GEOMATE, 14(43), 70-76.

 

[4]   Poonpakdee, P., Koiwanit, J., Yuangyai, C. (2017). Accuracy of Centralized and Decentralized manufacturing systems towards an Industry 4.0’s perspective, in The Third International Conference on Science, Engineering and Environment (SEE-USQ). November 12-17, 2017, Brisbane, Australia.

 

[5]   Poonpakdee, P., Suksangpunya, N. (2017). Epidemic Convergence Detection in Decentralized Network Systems towards Industry 4.0, in International Symposium on Multimedia and Communication Technology (ISMAC 2017). August 23-25, 2017, Phranakhon Si Ayutthaya, Thailand.

 

[6]   Poonpakdee, P., Di Fatta, G.  (2017). Robust and Efficient Membership Management in Large-Scale Dynamic Networks, in Future Generation Computer Systems, 75 (2017), pp. 85-93

 

[7]  Poonpakdee, P., Koiwanit, J., Yuangyai, C. (2017). Decentralized Network Building Change in Large Manufacturing Companies towards Industry 4.0,in Procedia Computer Science of the 14th Int. Conference on Mobile Systems and Pervasive Computing (MobiSPC’17), vol. 110, pp. 46 - 53, 2017.


[8]   Poonpakdee, P. (2016). Epidemic Aggregation without Membership Management in Undesired Topology, in International Conference on Engineering and Technology 2016 (ICET 2016), Oct.2016, Japan.


[9]   Poonpakdee, P., Di Fatta, G. (2014). Expander Graph Quality Optimisation in Randomised Communication, in ICDM Workshops, IEEE, pp. 597 - 604.


[10]   Poonpakdee, P., Di Fatta, G. (2015). Expansion Quality of Epidemic Protocols, in 8th International Symposium on Intelligent Distributed Computing 2014, ser. Studies in Computational Intelligence. Springer International Publishing, vol. 570, pp. 291–300.


[11]   Poonpakdee, P., Di Fatta, G. (2015), Connectivity Recovery in Epidemic Membership Protocols, in IDCS, Springer, pp. 177 - 189.


[12]   Poonpakdee, P., Orhon, N. G., Di Fatta, G. (2013), Convergence Detection in Epidemic Aggregation, in Euro-Par Workshops, Springer, pp. 292 - 300.

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