Dr. Nguyen Quang Uy - Machine Learning Application Lab

Personal Information Surname: NGUYEN QUANG. First name: UY. Date of birth: 04/03/1980. Country of origin: Vietnam. Work address: Faculty of Information Technology, Vietnamese Military Technical Academy, Hanoi, Vietnam Position: Senior lecturer at Faculty of IT, Vietnamese Military Technical Academy Phone number: +84 968490399. E-mail: [email protected] Education PhD in Computer Science and Informatics, University College Dublin, Ireland, 2011. Concentration: Evolutionary computation, Genetic Programming, Semantic Methods Thesis: Examining Semantic Diversity and Semantic Locality of Operators in Genetic Programming. MSc in Computer Science, Vietnamese Military Technical Academy, Vietnam, 2007. Concentration: Swarm Intelligence, Particle Swarm Optimization Thesis: A Study on Particle Swarm Optimization BSc in Information Technology, graduated as the top student of the Academy, Vietnamese Military Technical Academy, Vietnam, 2004. Working Experience Assistant Lecturer, Vietnamese Military Technical Academy, Vietnam, 2004-2007 Research Assistant, PhD Candidate, University College Dublin, Ireland, 2008-2011 Lecturer, Vietnamese Military Technical Academy, Vietnam, 2011-2013 Senior Lecturer: Vietnamese Military Technical Academy, Vietnam, From 2013 Visiting Lecturer, Hanoi University, Vietnam, From 2011 Research Skills and Interests Extensive knowledge in Evolutionary Computation, especially in Genetic Programming. Nguyen is widely recognized as one of the main contributor to the development of semantic methods in Genetic Programming. His work has inspired a large number of research on the use of semantics in Genetic Programming (one of his paper on semantic crossovers in Genetic Programming has been received more than 140 citations just after six years since it was published *). Nguyen is the inventor of some new semantic based operators in Genetic Programming. Based on some previous research, Nguyen has discovered the important role of semantic locality of operators in Genetic Programming. He also proposed a number of new operators that achieved higher locality than the traditional operators in Genetic Programming. With his collaborators, Nguyen has successfully applied Genetic Programming equipped his semantic based operators to a wide range of problems including regression, time series prediction, Q-function approximation, text summarization, fishing detection, malware detection and intrusion detection. Recently (since 2015), Nguyen’ main focus is deep learning. He has successfully applied deep learning to solve important problems including face detection and recognition, topic model, sentiment analysis and anomaly detection. He is the honor speaker in a number of tech talk events organized by some big companies in Vietnam such as VNG, TopDev and Grokking. He has also been invited to present in a number of seminar in many universities in Hanoi including Hanoi University, Thang Long University, Vietnam National University in Hanoi, Cipher Academy. His current research interests include: Evolutionary Computation, Genetic Programming, Nguyen has published more than forty papers in the field of Genetic Programming, Machine Learning and related areas for the last 10 years. Apart from Evolutionary Computation, Machine Learning and Artificial Intelligence, he has a wide and firm backgrounds in mathematics and computer science.

(*) Nguyen Quang Uy, Nguyen Xuan Hoai, Michael O’Neill, R. I. McKay, and Edgar Galvan-Lopez. Semantically-based crossover in genetic programming: application to real valued symbolic regression. Genetic Programming and Evolvable Machines, Spinger, 2011. Vol:12(2), Pages: 91-119, ISSN: 1389-2576, Journal IF=1.17.

Professional Activities IEEE member.

• Cor-chair of Intelligent Computing Track in The Fifth International Symposium on Information and Communication Technology (SoICT 2014)
• Member of the NAFOSTED Conference on Information and Computer Science Program Committee (NICS 2014, NICS 2015, NICS 2016, NICS 2017).
• Member of the International Symposium on Information and Communication Technology Program Committee (SoICT 2012, SoICT 2013, SoICT 2014, SoICT 2015, SoICT 2015, SoICT 2017).
• Member of the Third International Conference on Knowledge and Systems Engineering Program Committee (KSE 2010, KSE 2011, KSE 2012, KSE 2013, KSE 2014, KSE 2015, KSE 2016, KSE 2017).
• Member of the International Conference on Simulated Evolution And Learning Program Committee (SEAL 2012, SEAL’2014).
• Member of the International Conference on Soft Computing and Pattern Recognition Program Committee (SoCPaR 2013, SoCPaR 2014).
• Member of the World Congress on Information and Communication Technologies Program Committee (WICT 2013, WICT 2014).
• Member of the European Conference on Genetic Programming (EuroGP 2017,2018).
• Member of the IEEE Congress on Evolutionary Computation (CEC 2017, 2018).
• Member of the The Genetic and Evolutionary Computation Conference (GECCO 2017,2018).
• Regular reviewer of Swarm and Evolutionary Computation journal, Elsevier.
• Regular reviewer of Genetic Programming and Evolvable Machines journal, Springer.

Skills and Qualifications Programming in Python, C, C++, JAVA. Program Working Environments: Windows, Ubuntu. Fluent in Vietnamese (mother language) and English Recent Collaborators Prof. Nguyen Xuan Hoai, Director of HANU IT R&D center, Hanoi University, Vietnam. Prof. Robert Ian (Bob) McKay, Structural Complexity Lab, School of Computer Science, Seoul National University, Korea Prof. Michael O’Neill, Director of Natural Computing Research & Applications Group, University College Dublin, Ireland. Dr. James McDermott, Natural Computing Research & Applications Group, University College Dublin, Ireland. APPENDIX A list of refereed publications Publication Reference 1. https://scholar.google.com/citations?user=elwLWakAAAAJ&hl=en 2. http://www.informatik.uni-trier.de/~ley/db/indices/a-tree/u/Uy:Nguyen_Quang.html 3.http://liinwww.ira.uka.de/csbib?query=%2Bau:UyNQ*+ %2Bau:Uy&maxnum=200&sort=year

Full CV can be found in here.

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