LE THI Hoai An

SHORT BIO

Prof. Le Thi Hoai An earned her PhD with Highest Distinction in Optimization in 1994, and her Habilitation in 1997 both from university of Rouen, France. From 1998 to 2003 she was Associate Professor in Applied Mathematics at the National Institute for Applied Sciences, Rouen, and from 2003 to 2012 she was Full Professor in Computer Science at the University of Paul Verlaine – Metz. Since 2012 she has been Full Professor exceptional class, University of Lorraine. She held the position of Director of the Theoretical and Applied Computer Science Lab of University of Paul Verlaine and then University of Lorraine from 2008 to 2017. She is the holder of the Knight in the Order of Academic Palms Award of French government in July 2013. She was nominated a Senior Member of the Academic Institute of France (IUF) in June 2021, and received the 2021 Constantin Caratheodory Prize of the International Society of Global Optimization which rewards outstanding fundamental contributions that have stood the test of time to theory, algorithms, and applications of global optimization.

Prof. Le Thi Hoai An is the co-founder of DC programming and DCA, power tools of non-convex programming and global optimization which were introduced by Professor Pham Dinh Tao in 1985 and intensively developed in their joint works since 1994. These theoretical and algorithmic tools, becoming now classic and increasingly popular, have been successfully applied by researchers and practitioners all the world over to model and solve their real-world problems in various fields.

She is the author/co-author of more than 300 journal articles, international conference papers and book chapters, the co-editor of 24 books and/or special issues of international journals, and supervisor of 40 PhD theses/Habilitation and is the leader of several great joint projects in Industry 4.0 framework with Big companies including RTE (French transmission system operator) and NAVAL group (the European leader in Naval defence and a major player in marine renewable energies).

MAIN RESEARCH DIRECTIONS

• Nonconvex programming and global optimization - local and global approaches; DC programming - theory, algorithms and applications in various areas of applied sciences;
• Combinatorial Optimization and its applications in complex industrial systems;
• Machine Learning and Data mining.

MAJOR RESULTS

Le Thi Hoai An specialized in Non-Convex Optimization since 1992, more particularly in a new field of Non-Convex and Non-Differentiable Optimization named DC (Difference of Convex functions) Programming and DCA (DC Algorithms): theory, algorithms and applications. Chronologically, this field was created by Pham Dinh Tao, in its preliminary state, in 1985 and their intensive joint works since 1993 have led to decisive developments, with a rich scientific output in quality-quantity, to now become classic and increasingly popular worldwide. DC programming and DCA are known as powerful non-convex optimization tools due to their robustness and performance compared to existing methods, their rapidity and scalability, and the flexibility of DC decompositions. Researchers and practioners  recornized that most of real-world problems can be formulated / reformulated as DC programs, and almost all classical and recent algorithms in nonconvex optimization can be seen as a version of DCA with an appropriate DC decomposition. Her crucial developments deal with:

i) DC duality & local optimality conditions, particular features of DC polyhedral programs, Convergence of the whole DCA sequence for DC programs with subanalytic data, Extended standard DCA to general DC programs with DC constraints.

ii) The exact penalty techniques with/without error bounds in DC programming with nonconvex constraint sets. These results permit to recast various classes of difficult nonconvex programs into suitable DC programs which can be tackled by DCA and combined DCA - global algorithms;

iii) Several DCA based algorithms for solving various classes of difficult nonconvex programs. These works constitute the bridge between Combinatorial optimization, Operation Research and Continuous optimization, DC programming.

iv) A unifying nonconvex approximation approach and the exact penalty approach, with solid theoretical tools as well as efficient algorithms based on DC programming and DCA, to tackle the zero-norm and sparse optimization.

v) In applied research, she developed new powerful methods based on DCA and global optimization approaches for several large scale problems in various fields, in particular, numerous efficient DCA based algorithms for various areas of machine learning and data mining: unsupervised learning, supervised learning, semi-supervised learning, learning with sparsity / uncertainty, reinforcement learning, stochastic learning, online learning, ect.

vi) She is currently developing new theoretical tools and a new generation of algorithms beyond the standard framework of DC (Difference of Convex functions) programming and DCA (DC Algorithms) for large-dimensional non-convex optimization, as well as advanced methods in machine learning based on DCA, in order to meet the challenges related to Big data.

SCIENTIFIC AWARDS AND HONOR

•  “Prime d'Encadrement Doctoral et de Recherche / Prime d’Excellence Scientifique, French Gouvernment (PEDR A) continuously since 1999.
• Knight in the Order of Academic Palms Award, French Minister of Education, received 2013.
• Distinguished Professor at the University of Auckland, nominated 2012
• Rosenbrock Prize 2017 of Springer awarded to the authors of the best paper published in the journal Optimization and Engineering.
• Senior member IUF (Academic Institute of France), nominated 2021.
• Constantin Caratheodory Prize of the International Society of Global Optimization, awarded 2021.

PUBLICATIONS

• Editor of Books and Special issues in journals : 28

• Papers in peer-reviewed international journals : 146

• Papers in peer-reviewed national journals : 2

• Book chapters and paper in peer-reviewed intenational conference proceedings: 133

More detail at https://hal.science/search/index/q/*/authIdHal_s/hoai-an-le-thi

PLENARY INVITED LECTURES IN INTERNATIONAL CONFERENCE

1. Hoai An Le Thi, Invited plenary lecture: 40 years of developments of DC programming and DCA, International Conference on Applied Mathematics and Computer Science (ICAMCS2024), December 20-21, 2024, Hanoi, Vietnam.    

2. Hoai An Le Thi, Invited plenary lecture: DC Learning: Recent advances and ongoing developments, THE 4th International Conference   on Numerical Computations: Theory and Algorithms NUMTA 2023, June 14 – 20, 2023, Calabria, Italy.    

3. Hoai An Le Thi, Invited plenary lecture: DC programming and DCA - foundations, recent advances, and trends, World Congress on Global Optimization WCGO 2021, Jul 2021, Athens, Greece.

4. Hoai An Le Thi, Invited plenary lecture: DC programming and DCA: recent advances and trends, 4th international conference on Modelling, Computation and Optimization in Information Systems and Management Sciences MCO 2021, Dec 2021, Hanoi, Vietnam.

5. Le Thi Hoai An, Advanced machine learning techniques to Big data, Plenary lecture in International conference on Computer science and Information Technology, December 21-22, 2017, Dalat, Vietnam.

6. Le Thi Hoai An, DC learning - algorithms and applications, International Workshop “Optimization Algorithms and Some Related Problems”, Institute of Mathematics, VAST, December 14-16, 2017, Hanoi, Vietnam.

7. Le Thi Hoai An, DC programming and DCA in Machine Learning and Data Mining, CIM Workshop on Machine Learning, October 8-9, 2015, Uppsala, Sweden.

8. Le Thi Hoai An, DC programming and DCA, invited speaker in the International Conference “Optimization and Scientific Computing”, April 24-26, 2014, Hanoi, Vietnam.

9. Le Thi Hoai An, DC programming and DCA in Data Mining and Machine Learning, invited speaker in the International Conference “Statistic and its interactions with other disciplines”, June 5-7, 2013, Ho Chi Minh city, Viet nam.

10. Le Thi Hoai An, DC programming and DCA: Theory, Algorithms and Applications. Invited speaker (tutorial) in the XXVI EURO - INFORMS Joint International Conference: “All roads lead to OR”, July 1-4, 2013, Rome.

11. Pham Duc Truong, Le Thi Hoai An, Plenary Lecture in International Conference on Industrial Engineering and Systems Management IESM, 2011, Metz, France.

12. Le Thi Hoai An, DC programming and DCA for real world nonconvex programming problems, Plenary Lecture in International Conference on Optimization and Its Applications, Banaras Hindu University-India, February 16-18, 2011.

13. Le Thi Hoai An, DC Programming and DCA for Nonconvex Optimization: Theory, Algorithms and Applications, Plenary Lecture at MAMERN’09: 3rd International Conference on Approximation Methods and Numerical Modelling in Environment and Natural Resources Pau, June 8-11, 2009, France.

14. Le Thi Hoai An, A survey on DC programming approach and DCA to Machine Learning: model, algorithms and applications, Plenary lecture at International Symposium on Operational Research (ISOR’08) November 02-06, 2008, Alger.

15. Pham Dinh Tao, Nguyen Canh Nam, Le Thi Hoai An, An Efficient Combined DCA and B&B using SDP Relaxation for Globally Solving Binary Quadratic Programs, Plenary Lecture at the international conference on Advances In Global Optimization: Methods and Applications, June 13-17, 2007, Myconos, Greece.

16. Le Thi Hoai An, Le Hoai Minh, Pham Dinh Tao and Pascal Bouvry, A Combined DCA - GA for Constructing Highly Nonlinear Balanced Boolean Functions in Cryptography, Plenary Lecture at the international conference on Advances In Global Optimization: Methods and Applications, June 13-17, 2007, Myconos, Greece.

17. Le Thi Hoai An, Pham Dinh Tao, Programmation DC et DCA : Théorie, Algorithmes et Applications Conférence invité plénière au Colloque International sur l’Optimisation et les Systèmes d’Information COSI’06, June 11-13, pp. 256-267, Alger.

18. Le Thi Hoai An, Pham Dinh Tao, Nho Dinh Hao, D.C programming approach to Tikhonov regularization for non-linear ill-posed problems, Plenary Lecture at the International Conference on Nonlinear Analysis and Mechanics of Continuous Media (ICONA-MECOM 2003), January 7-10, 2003, HoChiMinh City.

19. Le Thi Hoai An, Pham Dinh Tao, The predictor corrector DCA for large scale molecular optimization from distance matrices, Plenary Lecture at the International Conference on Nonlinear Analysis and Mechanics of Continuous Media (ICONA-MECOM 2003), January 7-10, 2003, HoChiMinh City.

20. Le Thi Hoai An, Pham Dinh Tao, A new method for restoration of signals via Markov models Plenary Lecture at International Workshop on Applied Analysis & Optimization (AAO' 2000), August 23-27, 2000, Da Nang, Viet Nam.

21. Le Thi Hoai An, Pham Dinh Tao, Large Scale Molecular Optimization From Distance Matrices By a D.C. Optimization Approach, Plenary Lecture at the International Workshop on Applied Analysis & Optimization (AAO' 2000), August 23-27, 2000, Da Nang, Viet Nam.

22. Le Thi Hoai An, Pham Dinh Tao, D.C. Programming Approach for Large Scale Molecular Optimization via the General Distance Geometry Problem, Invited talk at the International Conference On “Optimization in Computational Chemistry and Molecular Biology: Local and Global Approaches”, Princeton University, May 7-9, 1999, USA.

23. Le Thi Hoai An, Pham Dinh Tao, An effcient method for large-scale linearly constrained Quadratic zero-one Programming Problems. Invited talk at the Worshop on “Semidefinite Programming and Interior-Point Approaches for Combinatorial Optimization problems” May 15-17, 1996, Fields Institute, Toronto, Ontario, Canada.

24. Le Thi Hoai An, Pham Dinh Tao, DC (difference of convex functions) programming: Theory, Algorithms & Applications. Invited talk at the Worshop on “Semidefinite Programming and Interior-Point Approaches for Combinatorial Optimization problems” May 15-17, 1996, Fields Institute, Toronto, Ontario, Canada.

R&D GRANTS AND INDUSTRIAL CONTRACTS

• PI of 12 national/regional/FEDER projects
• PI of 12 industrial contracts with leading French companies like RTE and Naval Group

INTERNATIONAL ACTIVITIES

• Member of Editorial board  of  Journal of Global Optimization
• Member of Editorial board  of Vietnam Journal of Computer Science*
• Member of Editorial board  of SMAI Journal of Computational Mathematics (SMAI-JCM)
• Guest editor of 14 Special Issues in international journal Mathematical Programming, JOGO, EJOR, OPTE, OL, COR, ...
• Referee in numerous journals on Optimization, Applied mathematics, Machine Learning, …
• Chair of the Organizing Committee and Co-Chair of the Scientific Committee of 12 major international conferences (more than 200 participants), with the participation of many leading experts in important fields with many challenges ahead, especially in Optimization and Data Science.
• General chair of the international conference MCO (every five years) “Modeling, Computation and Optimization in Information Systems and Management Sciences”. Co-Chair of Steering committee of International Conference on Computer Science and Applied Mathematics ICCSAMA (annual) and member of Steering committee of Asian Conference on Intelligent Information and Database Systems ACIIDS (annual). Senior member of Scientific Committee of Asian Conference on Machine Learning ACML (annual) since 2013, and of 33rd AAAI Conference on Artificial Intelligence. Member of Scientific Committee of about 70 International Conferences.
• Organizer of 36 invited symposiums/streams (69 sessions) in international conferences.
• International collaborations with more than 40 universities/institutes from 18 countries USA, Canada, Australia, Austria, Germany, UK, Portugal, Spain, Viet Nam, India, Algeria, Morroco, New Zealand, Belgium, Luxembourg, China, Japan, Norway. Numerous invited stays (from one week to one month) have taken place in most of these countries, and regular stays in Metz of researchers from these countries.
• Member of the Jury for the Constantin Caratheodory Prize of the International Society of Global Optimization in 2023 and 2025.
• Co-supervisor of 7 foreign PhD theses. Thesis reviewer and jury member of 5 PhD theses in UK, Germany, Australia.
• Coordinator (resp. Participant) of 11 (resp. 2) international projects.

NATIONAL ACTIVITIES

• Expert of AERES 2009, and of HCERES 2018
• Reviewer of ANR 2012, 2021
• Member of the jury of INRIA 2024 DR2
• Reviewer of many PhD theses CIFRE
• Member/reviewer/president of about 50 PhD thesis and 8 HDR jurys.

RESEARCH SUPERVISION

• PhD. supervision of 34 doctoral theses (32 defended and 2 in progress)

  1. F. Akoa (co-supervision with Pham Dinh Tao, 50%). “Globalisation des techniques d'optimisation non linéaire”. Thesis defended in January 2005 at LMI, INSA-Rouen.

  2. M. Ouanes (co-supervision with Aidene, 80%). “Programmation semi-infinie et optimisation globale”. Thesis defended in June 2006. Currently Professor at the university of Tizi-Ouzou, Algeria.

  3. Nguyen Van Vinh. “Méthodes exactes pour l'optimisation DC polyédrale en variables mixtes 0-1 basées sur DCA et des nouvelles coupes”. Thesis defended in July 2006 at LMI, INSA-Rouen (grant of DUO-France + Haute-Normandie regional scholarship). Currently teaching reseacher at the university of Dalat, Vietnam.

  4. Ndiaye Barbaca Mbaye (co-supervision with Pham Dinh Tao, 50%). “Simulation et optimisation DC dans les réseaux de transport combinés : codes à usage industriel”. Thesis defended in May 2007 at LMI, INSA-Rouen, Haute-Normandie regional scholarship. Currently teaching reseacher at the Cheik Anta Diop university, Dakar, Senegal.

  5. Belghiti Moulay Tayeb (co-supervision with Pham Dinh Tao, 50%). “Modélisation et techniques d'optimisation en bio-informatique et fouille de données”. Thesis defended in February 2008 at LMI, INSA-Rouen. Currently computer scientist in French national education.

  6. Nguyen Trong Phuc. “Techniques d'optimisation en traitement d'image et vision par ordinateur et en transport logistique”. Thesis defended in July 2007 at LITA, the Paul Verlaine University - Metz (UPV-M), French government scholarship + ATER. Currently teaching researcher at the University of Transport and Communications, Vietnam.

  7. Le Hoai Minh. “Modélisation et optimisation non convexe basées sur la programmation DC et DCA pour la résolution de certaines classes des problèmes en fouille de données et cryptologie”. Thesis defended in October 2007 at LITA, UPV-M, Lorraine regional co-finance scholarship. Reseacher at the University of Lorraine; currently Associate Professor at the University of Lorraine.

  8. Madhi Moeini. “La programmation DC et DCA pour l'optimisation de portefeuille”. Thesis defended in June 2008 at LITA, UPV-M, French-Iranian government scholarship. Postdoc; currently teaching researcher in Germany.

  9. Bouallagui Sarra (co-supervision with Pham Dinh Tao, 50%). “Techniques d'optimisation déterministe et stochastique pour la résolution de problèmes difficiles en cryptologie”. Thesis defended in July 2010 at LMI, INSA-Rouen. Currently R&D engineer in Paris.

  10. Schleich Julien (co-supervision with Pascal Bouvry, 50%). “Fiabilité et robustesse dans la gestion des réseaux de télécommunication par les techniques d'optimisation”. Thesis in co-supervision (France- Luxembourg), defended in September 2010, Luxembourg government scholarship. Researcher at the university of Luxembourg; currently work in the industry.

  11. Nguyen Quang Thuan. “Approches locales et globales basées sur la programmation DC et DCA pour des problèmes combinatoires en variables mixtes 0-1 : applications à la planification opérationnelle”. Thesis defended in November 2010 at LITA, UPV-M, Lorraine regional co-finance scholarship. Postdoc at the Freiberg University of Mining and Technology, Germany; currently teaching researcher at the Vietnam National University, Hanoi, Vietnam.

  12. Tran Duc Quynh. “Optimisation non convexe en finance et en gestion de production : modèles et méthodes”. Thesis defended in October 2011 at LITA, UPV-M, Vietnamese-French government scholarship. Currently teaching researcher at the Vietnam National University, Hanoi, Vietnam.

  13. Nguyen Duc Manh (co-supervision with Pham Dinh Tao, 50%). “La programmation DC et la méthode Cross-Entropy pour certaines classes de problèmes en finance, affectation et recherche d’informations : codes et simulations numériques”. Thesis defended in February 2012 at LMI, INSA de Rouen, Vietnamese-French government scholarship. Postdoc at the ENSTA, Brest; currently teaching researcher at the Hanoi National University of Education, Vietnam.

  14. Boutiche Amed (co-supervision with H. Addadeine, 50%). “Techniques d'optimisation dans les graphes pour le problème de routage des réseaux”. Thesis defended in 2013 at the University of Science and Technology Houari Boumediene (USTHB), Algeria. Currently teaching researcher at the USTHB, Algeria.

  15. Mohammed Yagouni (co-supervision with H. Addadeine, 50%). “Hybridation et collaboration des méthodes d’optimisation méta-heuristiques”. Thesis defended in 2017 at the USTHB, Algeria. Currently teaching researcher at the USTHB, Algeria.

  16. Ta Anh Son (co-supervision with Pham Dinh Tao, 50%). “Programmation DC et DCA pour la résolution de certaines classes des problèmes dans les systèmes de transport et de communication”. Thesis defended in June 2012 at LMI, INSA de Rouen, Vietnamese-French government scholarship. Currently teaching researcher at the Hanoi University of Science & Technology, Vietnam.

  17. Pham Viet Nga (co-supervision with Pham Dinh Tao, 50%). “Programmation DC et DCA pour l'optimisation non convexe/optimisation globale en variables mixtes entières : Codes et Applications”. Thesis defended in April 2013 at LMI, INSA de Rouen, Vietnamese-French government scholarship. Currently teaching researcher at the Vietnam National University of Agriculture, Vietnam.

  18. Nguyen Thi Bich Thuy. “Méthodes d’optimisation non convexe en analyse d’image”. Thesis defended in December 2014 at LITA, University of Lorraine, Vietnamese-French government scholarship. Currently teaching researcher at the Vietnam National University, Hanoi, Vietnam.

  19. Nguyen Manh Cuong (co-supervision with B. Conan-Guez, 50%). “La programmation DC et DCA pour certaines classes de problèmes en apprentissage et fouille de données”. Thesis defended in May 2014 at LITA, University of Lorraine, Vietnamese-French government scholarship. Postdoc at the University of Lorraine; currently teaching researcher at the Hanoi University of Industry, Vietnam.

  20. Ta Minh Thuy (co-supervision with L. Boudjeloud, 50%). “Techniques d'optimisation non convexe basée sur la programmation DC et DCA et méthodes évolutives pour la classification non supervisée”. Thesis defended in July 2014 at LITA, University of Lorraine, Vietnamese-French government scholarship. Currently information system management specialist at the Bank for Investment and Development of Vietnam (BIDV), Hanoi, Vietnam.

  21. Vo Xuan Thanh. “Apprentissage avec la parcimonie et sur des données incertaines par la programmation DC et DCA”. Thesis defended in October 2015 at LITA, University of Lorraine. Postdoc at the University of Lorraine; currently teaching researcher at the Ton Duc Thang University, Vietnam.

  22. Phan Duy Nhat. “Algorithmes basés sur la programmation DC et DCA pour l'apprentissage avec la parcimonie et l'apprentissage stochastique en grande dimension”. Thesis defended in December 2016 at LITA, University of Lorraine, Vietnamese-French government scholarship. Postdoc at the University of Lorraine; currently teaching researcher at the Ho Chi Minh City University of Education, Vietnam.

  23. Tran Thi Thuy (co-supervision with Alain Gély, 50%). “La programmation DC et DCA pour certaines classes de problèmes dans les systèmes de communication sans fil”. Thesis defended in April 2017 at LITA, University of Lorraine, Vietnamese-French government scholarship. Currently teaching researcher at the FPT University - Hanoi, Vietnam.

  24. Ho Vinh Thanh (co-supervision with Ahmed Zidna, 50%). “Techniques avancées d'apprentissage automatique basées sur la programmation DC et DCA”. Thesis defended in December 2017 at LITA, University of Lorraine. Postdoc at the university of Lorraine; currently lecturer (ATER) at the university of Reims Champagne-Ardenne, and researcher (ATER) at the university of Lorraine.

  25. Nguyen Thi Minh Tam. “Approches basées sur DCA pour la programmation mathématique avec des contraintes d'équilibre”. Thesis defended in September 2018 at LGIPM, University of Lorraine, Vietnamese-French government scholarship. Currently teaching researcher at the Vietnam National University of Agriculture, Vietnam.

  26. Tran Bach. “Algorithmes avancés de DCA pour certaines classes de problèmes en apprentissage automatique du Big Data”. Thesis defended in November 2019 at LITA, University of Lorraine. Currently data scientist at Price Hubble (https://pricehubble.com/), France.

  27. Pham Thi Hoai (co-supervision with Nguyen Canh Nam, 50%). “Some classes of nonconvex optimization problems: algorithms and applications”. Thesis defended in February 2020 at the Hanoi University of Science & Technology, Vietnam. Currently teaching researcher at the Hanoi University of Science & Technology, Vietnam.

  28. Nguyen Phuong Anh. “La programmation DC et DCA pour la sécurité de la couche physique des réseaux sans fil”. Thesis defended in April 2020, University of Lorraine, Vietnamese government scholarship. Currently teaching researcher at the Academy of Cryptography Techniques, Vietnam

  29. Samir Sara. “Approches coopératives pour certaines classes de problèmes d'optimisation non convexe : Algorithmes parallèles / distribués et applications”. Thesis defended in May 2020 at University of Lorraine, Algerian government scholarship. Currently teaching researcher at the USTHB, Algeria

  30. Luu Hoang Phuc Hau (co-supervision with Le Hoai Minh, 50%). “Advanced Deep Learning Techniques for Predictive Maintenance Thesis defended in November 2022, at University of Lorraine.

  31. Pham Van Tuan (co-supervision with Pascal Damel, 70%). “New machine learning techniques in financial decision making”. Thesis defended in November 2023, at University of Lorraine.

  32. Nguyen Thi Tuyet Trinh. “New optimization techniques in cryptography”. Thesis defended in December 2023 at University of Lorraine. 

• Habilitation (HDR) supervision

  1. Nadif Mohamed 2004, Professor at Univ Paris 5 since 2006

  2. François Brucker 2009, Professor at Univ Marseilles since 2010

  3. Lydia Boudjeloud 2016, Professor at university of Lorraine 2024

  4. Ahmed Zidna 2017, Professor at university of Lorraine 2021

  5. Hoai Minh Le 2022, Professor at university of Lorraine 2022

• Post doctorat supervision

  1. Nguyen Van Vinh: “New machine learning and bioinformatics techniques”, funded by the Lorraine region and the UPV-M, 12 months (2007)

  2. Nguyen Trong Phuc: “DC programming and DCA in machine learning”, funded by the Lorraine region and the UPV-M, 12 months (2010)

  3. Le Hoai Minh: “Technical innovations in optimization for Big Data processing”, 12 months (2008) co-funded by the Lorraine region and 30 months (2010-2013) funded by FEDER (Fonds Européens de Développement Régional)

  4. Mamadou Thiao: “Sparse learning”, funded by FEDER, 6 months (12/2012-5/2013)

  5. Pham Ngoc Anh: “Mathematical programming with equilibrium constraints”, funded by FEDER, 8 months (12/2012- 8/2013).

  6. Nguyen Manh Cuong: “New data mining techniques and the design of a recommendation system for product marketing software”, Industrial contract with Toul-Embal, 8 months (5/2014-12/2014).

  7. Vo Xuan Thanh: “DC programming and DCA for optimal resource management and for anomaly detection”, Industrial contract with NAVAL Group, 12 months (2015-2016)

  8. Phan Duy Nhat: “Advanced DC programming and DCA techniques and Applications in Machine learning”, Industrial contract with RTE, 18 months (2017-2018).

  9. Ho Vinh Thanh: “Reinforcement Learning Techniques Applied to Unmanned Systems Mission Planning”, Industrial contract with NAVAL Group, 24 months (2018-2020).

  10. Luu Hoang Phuc Hau: statistic optimization (2022-2023).

  11. Nguyen Thi Tuyet Trinh: 5G Network Optimization (2023-2024).