Pham Van Hai

Associate Professor, Department Of Computer Science

Ph.D.  IT (Artificial Intelligence & Computer Science, Ritsumeikan University, Kyoto-JAPAN, 2013)
M.S. (Computer Science, Asian Institute of Technology, 2008)
B.S. (Computer Science, Hanoi University of Science- Vietnam National University Hanoi, 1997)

Email: haipv@soict.hust.edu.vn
Web: https://users.soict.hust.edu.vn/haipv/

• Applied Artificial Intelligence (Digital transformation, Industry 4.0)
• Machine learning
• Soft Computing
• Big data
• Applied fuzzy systems
• Hybrid Intelligent system; System Integration

• Applied Artificial Intelligence (AI real-world applications, Digital transformation, Industry 4.0)
• Machine learning (Deep learning, Neural Networks, Self organizing Maps)
• Soft Computing ( Fuzzy logics, Kansei evaluation, rule-based and Knowledge-based system)
• Big data ( Big data Analysis, Knowledge graphs in social networks, Deep learning in big data)
• Hybrid Intelligent Systems, Context-aware system (Applied fuzzy systems, picture fuzzy set, rule-based system)
• Analysis and System Design; System Integration (AI in FPGA,  AI  with embedded system)
• Real world applications ( Smart phone, Health, social networks, robots, industry, education)

Hai Van Pham is an Associate Professor in specialization of Artificial Intelligence (applied AI, Soft computing, machine learning, Bigdata analysis), working at the School of Information Technology and Communication, Hanoi University of Science and Technology.  He received his Ph.D. in computer science in specialization in AI from Ritsumeikan University. His current research interests include Artificial Intelligence, Knowledge-based Systems, Soft computing, machine learning and Big data analysis in the trends of digital transformation, industry 4.0. Hai V. Pham has published over 100 research articles in international journals (30 research papers in ISI/ scopus index) and conference proceedings, domestic research papers and co-authored several books/’s chapters/ monographs. He was obtained the Best Research Award of Innovation Fair 2011, Fair 2010, and Fair 2009 – Society of Advancement and Technology at Ritsumeikan, December. Hai V Pham is a senior expert, conducted research projects between HUST researchers- students and companies in applied AI and industry 4.0.  He has served as a member of program, technical committees for international conferences and acts as a reviewer for international conferences and journals: IEEE transaction, IEEE access, Soft computing, Neural computing and Neural computing applications. He is also on the reviewer and editorial board of international conferences/journals, acted as a workshop Chair, Track Chair, and Program Chair for selected International Conferences for selected activities of the following:

1. Chair of fuzzy logics and intelligent systems, KSE 2019, KSE 2017, KSE 2019, KSE 2015/ KSE 2016 – The International Conference on Knowledge and Systems Engineering Hanoi, Vietnam.
2. Chair of Intelligent Systems, SOICT 2015, SOICT 2014 – The firth International Symposium on Information and Communication Technology, 04-05 December, 2014, Hanoi, Vietnam.
3. Workshop Org. Co-Chair of International Workshop on Personalized Human-Centric Context-Aware Systems, to be held in conjunction with The 5th FTRA International Conference on Human-centric Computing (HumanCom-12), 6 – 8 September 2012, Gwangju, South Korea.
4. Conference Track Co-Chairs in High Performance Modelling and Simulation of 26th EUROPEAN Conference on Modeling and Simulation (ECMS 2012), May 29th – June 1st, 2012, Koblenz, Germany.
5. Workshop Co-Chairs of The Second International Workshop on Intelligent Context-Aware Systems (ICAS 2012), 4-6 July 2012, Palermo, Italy.

• Hai Van Pham, Pham Van Duong, Dinh Tuan Tran. et al, A Novel Approach of Voterank-Based Knowledge Graph for Improvement of Multi-Attributes Influence Nodes on Social Networks, Journal of Artificial Intelligence and Soft Computing Research, Vol13 (2023): ISSUE 3 (JUNE 2023),  https://doi.org/10.2478/jaiscr-2023-0013 ISI index, Q1, IF 3.7
• Hai Van Pham, Hoang, T.L., Hung, N.Q. et al.Proposed Intelligent Decision Support System Using Hedge Algebra Integrated with Picture Fuzzy Relations for Improvement of Decision-Making in Medical Diagnoses. International Journal Fuzzy System 25, 3260–3270 (2023). https://doi.org/10.1007/s40815-023-01548-4 ISI index,Q2, IF 2,2
• Cu Kim Long, Hai Van Pham, Tran Manh Tuan, Luong Thi Hong Lan, Tran Thi Ngan, et. Al., A novel Q-learning-based FKG-Pairs approach for extreme cases in decision making, Engineering Applications of Artificial Intelligence, Vol. 120,2023, 105920, ISI index,Q1, IF 6,2
• Hai Van Pham, Thai, Kim Phung, et al. Proposed distance and entropy measures of picture fuzzy sets in decision support systems, Journal of Intelligent & Fuzzy Systems, vol. 44, no. 4, pp. 6775-6791, 2023, ISI index,Q2, IF 2,2
• Long, C.K., Van Hai, P., Tuan, T.M., et al.: A novel fuzzy knowledge graph pairs approach in decision making. Multimed. Tools Appl. 81, 26505–26534 (2022).https://doi.org/10.1007/s11042-022-13067-9, ISI index,Q1, IF 5.8,
• Hai Van Pham, Thuy, Linh Hoang et.al. Using fuzzy logic with a maximal length matching algorithm, expressed preferences, and expert knowledge, Journal of Intelligent & Fuzzy Systems, vol. 45, no. 3, pp. 4071-4087, 2023 ISI index,Q2, IF 2,2
• Hai Van Pham, H., Khoa, N.D., Bui, T.T., Giang, N.T., Moore, P.: Applied picture fuzzy sets for group decision-support in the evaluation of pedagogic systems. Int. J. Mathematic Engneering Management. Sci. 7(2), 243–257 (2022). https://doi.org/10.33889/IJMEMS.2022.7.2.016 ISI index,Q2.
• Ngoc, V.T.N. Hai Van Pham, et al.: VNU-diagnosis: a novel medical system based on deep learning for diagnosis of periapical inflammation from X-rays images. Journal of Intelligent & Fuzzy Systems. 43(1), 1417–1427 (2022) ISI index,Q2, IF 2,2
• Lan, L.T.H. Hai Van Pham, et al.: A new complex fuzzy inference system with fuzzy knowledge graph and extensions in decision making. IEEE Access , 164899–164921 (2020). https://doi.org/10.1109/ACCESS.2020.3021097 ISI index,Q1, IF 6.3.
• Hoang LS , Hai Van Pham et al.: Predictive reliability and validity of hospital cost analysis with dynamic neural network and genetic algorithm. Neural Computing. Appl. 32, 15237–15248 (2020). https://doi.org/10.1007/s00521-020-04876-w ISI index,Q1, IF 5.8

• Best paper award – Hai Van Pham, FICTA 2022
• Best paper award – Hai Van Pham, Quoc Hung Nguyen, 2021 international conference on Artificial Intelligence and Big Data
• Best Research Award of Innovation Fair 2011 – Society of Advancement and Technology at Ritsumeikan, December 2011.
• Excellent Fellowship PhD Research Price Award, Ritsumeikan University, July 2011.
• Best Fellowship Award, granted by Society of Advancement and Technology at Ritsumeikan, June 2011.
• Award Excellent Intensive Doctoral Program fellowship, granted by Ritsumeikan University, July 2010.
• Best PhD Research Award issued by Innovation Fair 2010 – Society of Advancement and Technology at Ritsumeikan, December 2010, Shiga, Japan.
• Best PhD Research Award issued by Innovation Fair 2009 – Society of Advancement and Technology at Ritsumeikan, December 2009, Shiga, Japan.
• JICA Fellowship was funded by Cooperation International Cooperation Agency for advanced training course of Okinawa International Center, Japan 1999.

• IT3160: Artificial Intelligence
• IT3190: Machine learning and data mining
• IT3120: System design analysis
• Master/Master: Knowledge-based system
• Master/Master: Advanced Artificial Intelligence
• Master/ Master/ Bsc: Engineering: Information system integration

• 2020-2023: Research on knowledge graphs and integrated deep learning methods in some decision support problems – Nafosted – national level, ms: 102.05-2019.316, leader Project
• 2021-2024: Research on digital transformation models for smart schools, KC 4.0-06/19-25, national level, primary member
• 2016-2019: Algorithmic and combinatorial methods on discrete structures – Nafosted – national level, ms: 102.01-2016.05, primary member
• 2013-2016: National information exchange standard – National KC, primary member
• 1999-2021: Research and evaluate the current status of core technologies and the ability to apply core technologies to serve the construction of a university model oriented to the fourth industrial revolution (i4.0), proposing Ministry level funding, primary member