Professional Experiences


TEACHINGS AND ADMINISTRATIONS

● 12.2019 - now
● Head of Information System Department at NCTU (Nam Can Tho University)
○ en.nctu.edu.vn
○ artificial intelligence, machine learning, image processings, programming Java and C


● 05.2019 - now
● Head of 
Department  of Philosophy of Artificial Intelligence at IDP (Institute of Developmental Philosophy) 
○ idp.edu.vn
○ philosophy in artificial intelligence, roboethics, artificial intelligence ethics, machine ethics, capacity of machine intelligence.

● 08.2017 - now
● Vice-director of Culture Department of UNESCO Center for HuMan Science and CoMmunity (UNESCO-M), a member of World Federation of UNESCO Clubs, Centres and Associations (WFUCA)
○ unescom.org
○ philosophy in artificial intelligence, roboethics, artificial intelligence ethics, machine ethics, capacity of machine intelligence.

RESEARCHES

● 2019- now
● GIAT: a machine learning for identification automatic of gemstones
○ Researcher at Nam Can Tho University (NCTU) ○ en.nctu.edu.vn
○ Collaboration with Hanoi University of Mining and Geology (HUMG) ○ humg.edu.vn
○ Collaboration with Liulab Gemological Center (LGC) ○ liulab.edu.vn
○ Reference: Le Ngoc Nang {lengocnang@liulab.edu.vn}; Assoc.Prof. Giang Khac Nguyen {nguyenkhacgiang@humg.edu.vn};
● Description:
Currently, gemstone sorting and verification are mostly handled through manual and time-consuming techniques. By utilizing artificial intelligence techniques, the project hopes to create simple tools, called GIAT (Gems Identification Automatic Tools) to serve the complex tasks of gemstone appraisal and grading. Because the gem data sources cannot be collected at the same time in a short time, but mainly through gem inspection orders. Gemstone groups and their sub-sectors are not determined from the beginning but through data from orders appearing over time, which accumulate gradually. Therefore, the project requires an intelligent system that can be integrated in real time.
○ Keywords:
machine learning, dynamic classification, streaming data, one-class, SVM; human-computer interaction, gemstone classification, machine learning application.
● Publications:
soon available ...

● 2018 - now
● A3R: a machine learning for identification automatic of antique artifacts
○ Project website: a3r.adhigtechn.com
○ Researcher at UNESCO Centre for Research and Preservation for the Vietnamese Antiquity (UNESCO-VNA) ○ unesco-vna.org (in updating periode)
○ Collaboration with Hanoi University of Mining and Geology (HUMG) ○ humg.edu.vn
○ Collaboration with Quang Ngai Museum (QNM) ○ baotangquangngai.com
○ Reference: Assoc.Prof. Hoang Bac Bui {buihoangbac@humg.edu.vn}; Dr. Doan Ngoc Khoi {dnkhoi-svhtt@quangngai.gov.vn}
● Description:
Ancient glassware was found widely in Vietnam (Dong Son, Sa Huynh, Oc Eo) through the ancient and complicated trading process today. From the perspective of the researcher in the field of private collections, in the particular case of Vietnamese culture, the jewelry of other cultures often causes complication in classification. In this project, we try to go into the direction of analyzing the surface composition structure of Vietnamese antique glass jewelry (of Dong Son, Sa Huynh, Oc Eo culture), thereby providing an analysis of the unique identification characteristics of these glass jewelries. Through artificial intelligence techniques, we offer standards tools (so-called A3R or Antique Artifacts Automatic Recognition System) to compare the distinguishing characteristics between antique glassware and current glass jewelry (antique imitation glass, new glass ... ) and glassware of different cultures from the perspective of gemology and mineralogy.
○ Keywords:
machine learning, streaming data, antique glass classification, antique glass identification, sa huynh - oc eo - dong son glass characteristics.
● Publications:
♦ Anh Khoi Ngo Ho, Van Trieu Pham, Trong Co Nguyen, Dinh Phung Le, Evidence of New Artifacts for The Existence of Glass-Making Furnaces in Óc Eo – Culture Area, Journal of Vietnam Archeaology, ISSN: 0866-742, Vol 2-2020, Vietnam, 2020.
♦ Anh Khoi Ngo Ho, Van Phuc Pham, Van Trieu Pham, Dinh Phung Le, Trong Co Nguyen, Ngoc Khoi Doan, Thi Thuy Tran, Artificial intelligence system for automatic identification of antique Oc Eo Glass jewelry,  National Conference on Oc Eo Runes: Ba The, Nen Chua - Excavation, research, conservation and promotion of values, An Giang, Vietnam, 2019.
♦ Anh Khoi Ngo Ho, Hoang Bac Bui, Giang Nguyen Khac, The Luc Trinh, Ancient Glass Stone In History, Journal of Developmental Philosophy, accepted.
♦ Anh Khoi Ngo Ho, Trong Co Nguyen, Ngoc Khoi Doan, Hoang Bac Bui, The Luc Trinh, Distinct gemological properties of Sa Huynh glass ornaments, International Workshop On Heritage Values Of Ly Son - Sa Huynh Geopark, Quang Ngai, Vietnam, 2019. 
♦ Anh Khoi Ngo Ho, Trong Co Nguyen, Unique artifacts of Cham pottery in private collections in Vietnam, International Conference Preserving and Promoting The Value of Cham Pottery Art of Traditional Pottery Making, Ninh Thuan, Vietnam, 2018. 

● 2017 - now
● DigiHumane: Digital Technology in Humane and Social Sciences
○ Project website: digihuman.unesco-m.org (in updating periode)
○ Researcher at UNESCO Center for HuMan Science and CoMmunity (UNESCO-M) ○ unescom.org
○ Collaboration with Institute of Developmental Philosophy (IDP) ○ idp.edu.vn 
○ Collaboration with Nam Can Tho University (NCTU) ○ nctu.edu.vn 
○ References: Dr. Nguyen Huynh Thanh {nhthanh@idp.edu.vn}; Prof. Nguyen Thanh Tuyen {nttuyen@idp.edu.vn};
● Description:
The project examines the impact of the new technologies in the fourth industrial era on aspects of modern life, including culture, law, philosophy... as well as other humane and social science fields. The project is an interdisciplinary domains between humanities and social sciences, in view of the development of technologies like AI. In the specific area of these very wide subjects, the project in the first time, focus only on the e-commerce, e-education and e-economy. 
○ Keywords:
digital technology, artificial intelligence, philosophy of artificial intelligence.
● Publications:
♦ Hoang Minh Dang, Dinh Thuy Huong Nguyen, Anh Khoi Ngo Ho, Thi Thuy Tran, UNCITRAL ODR – The dawn of an expectation for a global legal framework to resolve cross-border e-commerce disputes, The 8th International Conference on Emerging Challenges: Contemporary Issues in Innovation and Management (ICECH 2020), Ha Long City, Vietnam, 2020.
♦ Dinh Thuy Huong Nguyen, Anh Khoi Ngo Ho, Risks Arising From Electronic Commerce In Industry 4.0 And Solution, Conference on developing Vietnamese e-commerce in the digital era, Hanoi, Vietnam, 2020. 
♦ Huong Nguyen Dinh Thuy, Anh Khoi Ngo Ho, Thi Thuy Tran, The Positive Effects of University Autonomy on E-Learning under the Circumstances of Public Universities in Vietnam, International Journal of Information and Education Technology (IJIET, ISSN: 2010-3689, DOI: 10.18178/IJIET), Vol. 10, Num. 8, pp.622, 2020. (Scopus)
♦ Hoang Minh Dang, Anh Khoi Ngo Ho, Hoang Linh Phan, Dinh Thuy Huong Nguyen, The Effectiveness of E-Learning During the Pandemic – An Empirical Case-study in Can Tho University, The International Conference on Higher Education in Vietnam and Asia: Similarities and Possibilities of Cooperation (IHESP), Da Nang City, Vietnam, 2020. 
♦ Anh Khoi Ngo Ho, Ngoc Truc Linh Tran, Duy Khang Tran, Cooperation of Educational Institutions and Enterprises:  Experience from Republic of France, National Conference on Developing the Enterprise Model in University, Can Tho City, Vietnam, 2020. 
♦ Anh Khoi Ngo Ho, Hoang Minh Dang, Thi Thuy Tran, Cooperation of Educational Institutions and Enterprises in the View of Government Role:  Experience of United Kingdom, National Conference on Developing the Enterprise Model in University, Can Tho City, Vietnam, 2020. 
♦ Anh Khoi Ngo Ho, Thi Kim Truong, Minh Son Vo, Situation of Relationship Between Educational Institutions and Enterprises in Vietnam, National Conference on Developing the Enterprise Model in University, Can Tho City, Vietnam, 2020.
♦ Dinh Thuy Huong Nguyen, Anh Khoi Ngo Ho, Thi Thuy Tran, Dinh Hau Nguyen, Current situation of cultural and tourism human resources in the sustainable development of the Southwest region, National conference on Cultural sustainable development in the South West region, Tra Vinh City, Vietnam, 2020.
♦ Anh Khoi Ngo Ho, Gia Han Do, Learn About Robot NAO: A Case Study In Education 4.0, Industrial Revolution Congress 2019, Vietnam, 2019.
♦ Anh Khoi Ngo Ho, Ngoc Truc Linh Tran, Trong Co Nguyen, Experience of the Republic of France in implementing the cultural industry, National Conference on Cultural Industry: From Theory to Practice, HCM City, Vietnam, 2019.

● 04.2015-10.2017
● mOC-iSVM: a multi-purpose dynamic learning and classification
○ Project website: mOC-iSVM.com
○ Researcher at Laboratoire d'InfoRmatique en Image et Systèmes d'information (LIRIS) ○ liris.cnrs.fr
○ Collaboration with Computer Science Laboratory (LI 6300) ○ li.univ-tours.fr
○ References: Prof. Veronique Eglin {veronique.eglin@insa-lyon.fr}
● Description:
This research contributes to the field of dynamic learning and classification in case of stationary and non-stationary environments to deal with very small learning dataset at the beginning of the process and with abilities to adjust itself according to the variability of the incoming data inside a stream. For that purpose, we propose a solution based on a combination of independent one-class SVM classifiers having each one their own incremental learning procedure. Consequently, each classifier is not sensitive to crossed influences which can emanate from the configuration of the models of the other classifiers. The originality of our proposal comes from the use of the former knowledge kept in the SVM models (represented by all the found support vectors) and its combination with the new data coming incrementally from the stream. The proposed classification model (mOC-iSVM) is exploited through three variations in the way of using the existing models at each step of time. The mOC-iSVM.AP model selects the previous support vectors according to their « age »; the mOC-iSVM.EP model selects the support vectors according to their efficiency, and the mOC-iSVM.nB selects vectors from the n-best models in the history. Our contribution states in a state of the art where no solution is proposed today to handle at the same time, the concept drift, the addition or the deletion of concepts, the fusion or division of concepts while offering a privileged solution for interaction with the user. The experiments, at the same time on stationary and non-stationary environments, provide very good classification scores close or even better than those obtained with the most successful incremental classifiers at this moment. Furthermore, in contrary to our method, most of the other dynamic approaches are applicable only to particular environments.
○ Keywords:
machine learning, intelligent scanner, dynamic classification, streaming data, one-class, SVM; human-computer interaction.
● Publications:
♦ Anh Khoi Ngo Ho, Nicolas Ragot, Jean-Yves Ramel, Veronique Eglin, Multi one-class incremental SVM with n-Best, Journal of Machine Learning, In progress.
♦ Anh Khoi Ngo Ho, Nicolas Ragot, Jean-Yves Ramel, Veronique Eglin, A multi-purpose dynamic classifier: application to document classification, International Journal on Document Analysis and Recognition, 2017.
♦ Anh Khoi Ngo Ho, Nicolas Ragot, Jean-Yves Ramel, Veronique Eglin, Multi one-class incremental SVM for document stream digitization, 12th IAPR International Workshop on Document Analysis Systems, Satorini, Greece, 2016.

● 10.2011-03.2015
● DigiDoc: an intelligent scanner of old documents
○ Project website: digidoc.labri.fr
○ Researcher at Computer Science Laboratory ○ li.univ-tours.fr
○ Collaboration with Laboratoire d'InfoRmatique en Image et Systèmes d'information (LIRIS) ○ liris.cnrs.fr
○ Collaboration with Laboratoire Bordelais de Recherche en Informatique (LaBRI) ○ labri.fr
○ Collaboration with Bibliotheque National de la France (BNF) ○ bnf.org
○ Collaboration with Arkhenum ○ arkhenum.fr
○ References: Prof. Jean-Yves Ramel {jean-yves.ramel@univ-tours.fr}; Prof. Nicolas Ragot {nicolas.ragot@univ-tours.fr}
● Description:
Inside the DigiDoc project (ANR-10-CORD-0020) - CONTenus et INTeractions (CONTINT), our research was applied to several scenarios of classification of image streams which can correspond to real cases in digitization projects. Most of the time, the processing of documents is considered as a well-defined task: the classes (also called concepts) are defined and known before the processing starts. But in real industrial workflows of document processes, it may frequently happen that the concepts can change during the time. In a context of document stream processing, the information and content included in the digitized pages can evolve over the time as well as the judgment of the user on what he wants to do with the resulting classification. The goal of this application is to create a module of learning, for a steam-based massive document images classification (specially dedicated to a massive digitization process), that adapts different situations for intelligent scanning tasks: adding, extending, contracting, splitting, or merging the classes in on an online mode of streaming data processing.
○ Keywords:
dynamic classification, incremental learning, one-class SVM, stationary and non-stationary environments, document image classification, digitization.
● Publications:
♦ Anh Khoi Ngo Ho, Méthodes de classifications dynamiques et incrémentales : application à la numérisation cognitive d'images de documents, Doctoral dissertation, Ecole doctorale Mathématiques, Informatique, Physique Théorique et Ingénierie des Systèmes (Centre-Val de Loire), Tours, 2015.
♦ Anh Khoi Ngo Ho, Nicolas Ragot, Jean-Yves Ramel, Veronique Eglin, Multi one-class incremental SVM for both stationary and non-stationary environment, CAp 2014, 16th Conférence Francophone sur l'Apprentissage Automatique, Saint-Etienne, France, 2014.
♦ Anh Khoi Ngo Ho, Nicolas Ragot, Jean-Yves Ramel, Veronique Eglin, Nicolas Sidere, Document classification in a non-stationary environment: a one class SVM approach, ICDAR 2013, 12th International Conference on Document Analysis and Recognition, Washington DC, USA, 2013.

● 02.2011-07.2011
● eBDtheque: a representative database of comics
○ Project website: ebdtheque.univ-lr.fr
○ Researcher at Information, Image and Interaction Laboratory (L3I) ○ l3i.univ-lr.fr
○ Collaboration with Cité iNternationale de la Bande Dessinée et de l'Image (CNBDI) ○ citebd.org
○ References: Prof. Jean-Chirstophe Burie {jean-christophe.burie@univ-lr.fr}; Prof. Jean-Marc Ogier {jean-marc.ogier@univ-lr.fr}
● Description:
French and international comics represent an important cultural heritage but still little (if any) valued by new technologies. This project aims to set up an information search platform in interrogation strip images that will rely on a multicriterion segmentation of comic strip images, and on a standardized representation of complex data from BD images. (taxonomy of keywords, significant regions of the images, elements of narration ...). Inside this eBDtheque Project, the digitization of these comics therefore generates the need for tools to navigate the associated documentary masses. While the existing tools offer a classic navigation by keyword (year, author, style, ...), the approaches of image analysis allow to consider new possibilities of search for information in funds of digital comics as that indexing (find similar images) or the search by the content (find a box, a character, an object in an image).
○ Keywords:
comic book; comics panel extraction; comics page segmentation; region growing, mathematical morphology.
● Publications: 

♦ Anh Khoi Ngo Ho, Jean-Christophe Burie, Jean-Marc Ogier, Panel and speech balloon extraction from comic books, DAS 2012, pp.424-428, 10th IAPR International Workshop on Document Analysis Systems, Gold Coast, Queensland, Australia, 2012.
♦ Anh Khoi Ngo Ho, Jean-Christophe Burie, Jean-Marc Ogier, Comics page structure analysis based on automatic panel extraction, GREC 2011, 9th International Workshop on Graphics Recognition, Seoul, Korea, 2011.

SOFTWARE DEVELOPMENTS 

● 01.2010-06.2010
● Management system for investment projects of Can Tho (web service)
○ Developer at Can Tho Univesity ○ www.ctu.edu.vn
○ Reference: Dr.Pham Thi Xuan Loc {ptxloc@cit.ctu.edu.vn}

● 01.2009-06.2009
● Restaurant Hybrid Management System (software, mobile app and web service)
○ Developer at Cantho Software Park ○ www.csp.vn
○ Reference: Dr.Tran Van Ut {uttv@csp.vn}