TS. Phan Duy Hùng

TS. Phan Duy Hùng

Lĩnh vực quan tâm: Khoa học máy tính

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Thông tin cá nhân

Quá trình công tác 

  • 01/2017 đến nay: Director of Master Software Engineering (MSE) Program, FPT University. 
  • 01/2010 đến nay: Head and lecturer of Information Technology Specialization Department at Hanoi FPT University. 
  • 01/2011 – 03/2017FPT Technical specialist at FPT Software, FPT Technology Solution Company (FIS/FTS), FIS. 
  • 12/2008 – 12/2009: Collaborator at FPT Software at Hanoi. 
  • 11/2002 – 12/2009: Lecturer & Researcher at Hanoi University of Technology. 

Quá trình học tập  

  • 2008PhD of the Grenoble Institute of Technology, France. Faculty: Signal, Image, Speech, Telecom, (Signal processing) 
  • 2003Master of electronic and telecommunication Faculty, Hanoi University of technology. 
  • 2001: Engineer of electronic and telecommunication Faculty, Hanoi University of technology. 
  • 2015: miniMBA of FPT School of Business& Technology 

Lĩnh vực nghiên cứu

  • Signal Processing & Identification, Embedded systems, Measurement & Automatic Control, IoT, BigData, AI. 
  • Subjects are preferred for teaching 
  • For Master: IoT Application Development, Digital Signal Processing, Bigdata, AI, ML, DL, Research Methods and Academic Writing. 
  • For Students: Embedded Hardware System, Embedded Software Development (Linux-Arm), Android Programming, C, C++ Programming, DSP, IVP, ML. 

Các công trình đã xuất bản  

Tạp chí khoa học (ISI/Scopus) 

  1. Phan Duy Hùng, Đỗ Thái Giang, Traffic Light Control at Isolated Intersections in Case of Heterogeneous Traffic, Studies in Computational Intelligence: Soft Computing for Biomedical Applications and Related Topics, 269-280, (7/2020, Q4 (SJR 0.22), Scopus, Google Scholar).
  2. Lê Trung Kiên, Phan Duy Hùng, Kiều Hà My, Evaluating Blockchain IoT Frameworks, Intelligent Computing in Engineering. Advances in Intelligent Systems and Computing, Vol 1125, 899–912. (04/2020, Q3 (SJR 0.17), Google Scholar).
  3. Phan Duy Hùng, Lê Hoàng Nam, Hoàng Văn Thắng, Flexible Development for Embedded System Software, Intelligent Computing in Engineering. Advances in Intelligent Systems and Computing, Vol 1125, 873–883. (04/2020, Q3 (SJR 0.17), Google Scholar).
  4. Vũ Thu Diệp, Phan Duy Hùng, Performance Indices Evaluation of Cascade Controller Tuning Method Based on Soft Oscillation Index, International Journal of Electrical and Electronic Engineering & Telecommunications. (2020 – in press, Q4 (SJR 0.1), Google Scholar).
  5. Phan Duy Hùng, Vũ Văn Chín, Nguyễn Thanh Chinh, Tạ Đức Tùng, A Flexible Platform for Industrial Applications Based on RS485 Networks, Journal of Communications, Vol. 15, No. 3 (2020), 245–255, (03/2020, Scopus, Q4 (SJR 0.13), Google Scholar).
  6. Phan Duy Hùng, Đỗ Quang Đạt, Customer Behavior Clustering Based on Balance History Using Dynamic Time Warping Distance, International Journal of Machine Learning and Computing, Vol. 10 (2020), 87–92, (01/2020, Q4 (SJR 0.11), Google Scholar).
  7. Phan Duy Hùng, Nguyễn Ngọc Kiên, SSD-Mobilenet Implementation for Classifying Fish Species, Advances in Intelligent Systems and Computing: Intelligent Computing and Optimization, 399–408 . (1/2020, Scopus, Q3 (SJR 0.17, Google Scholar).
  8. Phan Duy Hùng, Trương Minh Giang, Lê Hoàng Nam, Phan Minh Dương, Hoàng Văn Thắng, Vũ Thu Diệp, Smarthome Control Unit Using Vietnamese Speech Command, Advances in Intelligent Systems and Computing: Intelligent Computing and Optimization, 290–300 .(1/2020,Scopus,Q3(SJR 0.17), Google Scholar).
  9. P D Hung, D Q Dat. Customer behavior clustering based on Balance history using Dynamic Time Warping distance. International Journal of Machine Learning and Computing (IJMLC). ISSN: 2010-37002019.
  10. P D Hung, V V Chin, N T Chinh, T D Tung. A flexible platform for industrial applications based on RS485 networks. Journal of Communications. ISSN: 1796-20212019. 
  11. P D Hung, N V SuV T Diep. Surface Classification of Damaged Concrete using Deep Convolutional Neural Network. Pattern Recognit. Image Anal. (2019) 29(4): 676-687.  
  12. P D Hung, T M Giang, L H Nam, P M Duong. Vietnamese speech command recognition using Recurrent Neural Networks. Journal of Advanced Computer Science and Applications (IJACSA) 10 (7), 194-200. 
  13. P D HungD Q Linh. Implementing an Android Application for Automatic Vietnamese Business Card Recognition. Pattern Recognit. Image Anal. (2019) 29(1): 156. https://doi.org/10.1134/S1054661819010188. 

 

Kỷ yếu hội thảo, ấn phẩm (ISI/Scopus) 

  1. Phan Duy Hùng, Lê Gia Cường, Nguyễn Lưu Bách, Offshore Development Center Management in Action, Proceedings of the 2020 5th International Conference on Intelligent Information Technology, 77–85, (2/2020, Scopus, Google Scholar)
  2. Phan Duy Hùng, Nguyễn Ngọc Chung, Evaluating Huge Matrix Multiplication on Real Hadoop Cluster, Proceedings of the 2020 5th International Conference on Intelligent Information Technology, 39–44, (2/2020, Scopus, Google Scholar)
  3. Chung Min Tae, Phan Duy Hùng, Lê Đình Huynh, Risk Management for Software Projects in Banking, ICEBA 2020: Proceedings of the 2020 The 6th International Conference on E-Business and Applications, 65–69, (2/2020, Scopus, Google Scholar)
  4. L G Cuong, P D Hung, N L Bach. 2020. ODC Team Mamagement In Action. In Proceedings of the 5th International Conference on Intelligent Information Technology (ICIIT 2020). ACM, New York, NY, USA.
  5. P D Hung, D T Giang. Traffic Light Control at Isolated Intersections in case of Heterogeneous Traffic. (eds) AICI 2020. Computational Intelligence 2020.  
  6. L G Cuong, P D Hung, N L Bach. 2019. Risk Management for Agile Projects in Offshore Vietnam. In Proceedings of the Tenth International Symposium on Information and Communication Technology (SoICT 2019). ACM, New York, NY, USA. 
  7. P D Hung. Counting People using images from two low cost Webcams. Lecture note computer science 11814. 
  8. P D Hung, N C Minh. Application of fuzzy logic in university suggestion system for Vietnamese high school students. Lecture note computer science 11814. 
  9. P D Hung, T Q Thinh. Cryptocurrencies Price Index Prediction Using Neural Networks On Bittrex Exchange. Lecture note computer science 11814. 
  10. V T Diep, P D HungT D Tung. Energy saving solution for air conditioning systems. Lecture note computer science 11814. 
  11. P D Hung, T M Giang, L H Nam, P M Duong, H V Thang, V T Diep. Smarthome control unit using Vietnamese speech command. (eds) Intelligent Computing & Optimization. ICO 2019. Advances in Intelligent Systems and Computing  1072, pp. 1–11, 2020. https://doi.org/10.1007/978-3-030-33585-4_29. 
  12. P D Hung, N N Kien. SSD-Mobilenet implementation for classifying fish species. (eds) Intelligent Computing & Optimization. ICO 2019. Advances in Intelligent Systems and Computing  1072, pp. 1–10, 2020. https://doi.org/10.1007/978-3-030-33585-4_40 
  13. P D Hung, L H Nam, H V Thang. Flexible development for embedded system software. (eds) RICE 2019. Advances in Intelligent Systems and Computing, 2019. 
  14. L T Kien, P D Hung, K H My. Evaluating Blockchain-IoT Frameworks. (eds) RICE 2019. Advances in Intelligent Systems and Computing, 2019. 
  15. P D Hung, P M Duong, T M Giang, V T Diep. Model-driven design for fast deployment of embedded systems. 2019 IEEE 2nd International Conference of Intelligent Robotic and Control Engineering (IRCE 2019), Singapore, 2019. 
  16. V T Diep, P D Hung, N T Su. I-PD Controller Design based on Robust Viewpoint. 2019 IEEE 2nd International Conference of Intelligent Robotic and Control Engineering (IRCE 2019), Singapore, 2019. 
  17. N N Son, P D Hung. 2019. Agile Solution of Color Image Encryption Using Random Permutation Algorithm. In Proceedings of the 2019 7th International Conference on Computer and Communications Management (ICCCM 2019). ACM, New York, NY, USA, 13-17. DOI: https://doi.org/10.1145/3348445.3348470. 
  18. L V Chuong, P D Hung, V T Diep. 2019. Robotic Process Automation and Opportunities for Vietnamese Market. In Proceedings of the 2019 7th International Conference on Computer and Communications Management (ICCCM 2019). ACM, New York, NY, USA, 86-90. DOI: https://doi.org/10.1145/3348445.3348458 
  19. P D Hung, D T Giang. 2019. Continuous Integration for Android Application Development and Training. In Proceedings of the 2019 3rd International Conference on Education and Multimedia Technology (ICEMT 2019). ACM, New York, NY, USA, 145-149. DOI: https://doi.org/10.1145/3345120.3345158. 
  20. C M Tae, P D Hung. 2019. Comparing ML Algorithms on Financial Fraud Detection. In Proceedings of the 2019 2nd International Conference on Data Science and Information Technology (DSIT 2019). ACM, New York, NY, USA, 25-29. DOI: https://doi.org/10.1145/3352411.3352416. 
  21. P D Hung, N T T Lien, N D Ngoc. 2019. Customer Segmentation Using Hierarchical Agglomerative Clustering. In Proceedings of the 2019 2nd International Conference on Information Science and Systems (ICISS 2019). ACM, New York, NY, USA, 33-37. DOI: https://doi.org/10.1145/3322645.3322677. 
  22. P D Hung, N D Ngoc, T D Hanh. 2019. K-means Clustering Using R A Case Study of Market Segmentation. In Proceedings of the 2019 5th International Conference on E-Business and Applications (ICEBA 2019). ACM, New York, NY, USA, 100-104. DOI: https://doi.org/10.1145/3317614.3317626 
  23. P D Hung, T D Hanh, T D Tung. 2019. Term Deposit Subscription Prediction Using Spark MLlib and ML Packages. In Proceedings of the 2019 5th International Conference on E-Business and Applications (ICEBA 2019). ACM, New York, NY, USA, 88-93. DOI: https://doi.org/10.1145/3317614.3317618 
  24. N D Linh, P D Hung, V T Diep, T D Tung. 2019. Risk Management in Projects Based on Open-Source Software. In Proceedings of the 2019 8th International Conference on Software and Computer Applications (ICSCA ’19). ACM, New York, NY, USA, 178-183. DOI: https://doi.org/10.1145/3316615.3316648. 
  25. P D Hung and B T Vinh. Vulnerabilities in IoT Devices with Software-Defined Radio. 2019 IEEE 4th International Conference on Computer and Communication Systems (ICCCS), Singapore, 2019, pp. 664-668. doi: 10.1109/CCOMS.2019.8821711. 
  26. P D Hung, L D Huynh. E-Commerce Recommendation System Using Mahout. 2019 IEEE 4th International Conference on Computer and Communication Systems (ICCCS), Singapore, 2019, pp. 86-90. doi: 10.1109/CCOMS.2019.8821663. 
  27. N T Nam, P D Hung. 2019. Padding Methods in Convolutional Sequence Model: An Application in Japanese Handwriting Recognition. In Proceedings of the 3rd International Conference on Machine Learning and Soft Computing (ICMLSC 2019). ACM, New York, NY, USA, 138-142. DOI: https://doi.org/10.1145/3310986.3310998. 
  28. A Q Huy, P D Hung. 2019. Security and Cost Optimization Auditing for Amazon Web Services. In Proceedings of the 2nd International Conference on Software Engineering and Information Management (ICSIM 2019). ACM, New York, NY, USA, 44-48. DOI: https://doi.org/10.1145/3305160.3305181. 
  29. P D Hung. 2018. Detection of Central Sleep Apnea Based on a Single-Lead ECG. In Proceedings of the 2018 5th International Conference on Bioinformatics Research and Applications (ICBRA ’18). ACM, New York, NY, USA, 78-83. DOI: https://doi.org/10.1145/3309129.3309132. 
  30. P D Hung, T D Hanh, V T Diep. 2018. Breast Cancer Prediction Using Spark MLlib and ML Packages. In Proceedings of the 2018 5th International Conference on Bioinformatics Research and Applications (ICBRA ’18). ACM, New York, NY, USA, 52-59. DOI: https://doi.org/10.1145/3309129.3309133. 
  31. L G Cuong, P D Hung, B T Vinh. 2018. Migrating Vietnam Offshore into Agile. In Proceedings of the Ninth International Symposium on Information and Communication Technology (SoICT 2018). ACM, New York, NY, USA, 329-336. DOI: https://doi.org/10.1145/3287921.3287924. 
  32. N T Nam, P D Hung. 2018. Pest detection on Traps using Deep Convolutional Neural Networks. In Proceedings of the 2018 International Conference on Control and Computer Vision (ICCCV ’18). ACM, New York, NY, USA, 33-38. DOI: https://doi.org/10.1145/3232651.3232661. 
  33. P D Hung. 2018. Central Sleep Apnea Detection Using an Accelerometer. In Proceedings of the 2018 International Conference on Control and Computer Vision (ICCCV ’18). ACM, New York, NY, USA, 106-111. DOI: https://doi.org/10.1145/3232651.3232660. 
  34. P D Hung. 2017. Estimating respiration rate using an accelerometer sensor. In Proceedings of the 8th International Conference on Computational Systems-Biology and Bioinformatics (CSBio ’17). ACM, New York, NY, USA, 11-14. DOI: https://doi.org/10.1145/3156346.3156349. 
  35. P D HungEstimating confident index of respiratory signal using an accelerometer. 2017 IEEE 2nd International Conference on Signal and Image Processing (ICSIP), Singapore, 2017, pp. 413-417. doi: 10.1109/SIPROCESS.2017.8124574.  
  36. P D Hung, S Bonnet, R Guillemaud, E Castelli and P T N Yen. Estimation of respiratory waveform and heart rate using an accelerometer. 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Vancouver, BC, 2008, pp. 4916-4919. doi: 10.1109/IEMBS.2008.4650316. 
  37. P D Hung, S Bonnet, R Guillemaud, E Castelli and P T N Yen. Estimation of respiratory waveform using an accelerometer. 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Paris, 2008, pp. 1493-1496. doi: 10.1109/ISBI.2008.4541291.