Research Group

Mode: ViewEdit


Research	Artificial intelligence and data science The group proposes and evaluates algorithms for artificial intelligence and machine learning, data mining and big data analysis. Two specific topics that have been and are being worked on are on advanced algorithms in sequential pattern and rule mining and on the development of algorithms for sequential pattern and rule mining from sequence databases. Topic Machine learning Data Mining Big data analytics Member Prof. Dr. Le Hoai Bac Dr. Nguyen Ngoc Thao Dr. Bui Tien Len MCs. Duong Van Hai (PhD student) MCs. Van Thi Thien Trang (PhD student) MCs. Tran Trung Kien MCs. Le Ngoc Thanh Research Advanced Algorithms in Sequential and Rule Pattern Mining (Nafosted, 2016-2018) Develop algorithms for mining sequential patterns and rules from sequence databases. (Nafosted, 2014-2016) Possible collaborative activities Deploying projects on Data Mining Data analysis Exploiting user opinions Data hiding Published 1. Bac Le, Ut Huynh, Duy-Tai Dinh. A pure array structure and parallel strategy for high-utility sequential pattern mining. Expert Syst. Appl. 104: 107-120 (2018) 2. Bac Le, Phuc Luong. Optimized cardinality-based generalized itemset mining using transaction ID and numeric encoding. Appl. Intell. 48(8): 2067-2080 (2018) 3. Bac Le, Duy-Tai Dinh, Van-Nam Huynh, Quang-Minh Nguyen, Philippe Fournier-Viger. An efficient algorithm for Hiding High Utility Sequential Patterns. Int. J. Approx. Reasoning 95: 77-92 (2018) 4. Bac Le, Hai V. Duong, Tin C. Truong, Philippe Fournier-Viger. FCloSM, FGenSM: two efficient algorithms for mining frequent closed and generator sequences using the local pruning strategy. Knowl. Inf. Syst. 53(1): 71-107 (2017) 5. Hoai Bac Le, Minh-Thai Tran, Bay Vo. Mining frequent closed inter-sequence patterns efficiently using dynamic bit vectors. Appl. Intell. 43(1): 74-84 (2015) Intelligent and multimedia environment Integrated and intelligent systems The group researches and builds intelligent systems that support people in operations and decision-making through collecting, processing, and analyzing data from various sources. Solutions are built based on the application of research results in the fields of artificial intelligence, machine learning, computer vision, optimization, etc. Study topic Computer Vision: object tracking, detection, recognition, and segmentation... Scheduling & AI Planning Combinatorial Optimization Applications on smartphones: location-based applications, sensors-based applications... Member Dr. Dinh Ba Tien (Leader) MSc. Pham Hoang Hai MSc. Truong Phuoc Loc MSc. Ho Tuan Thanh Dr. Le Phong (Alumni) Dr. Dang Thi Thanh Nguyen (Alumni) Dr. Nguyen Le Nguyen Ngu (Alumni) Dr. Pham Tu San (Alumni) Dr. Trinh Tran Dang Khoa (Alumni) Dr. Pham Tuan Vu (Alumni) PhD. Student Nam Vo (Alumni) PhD. Student Quang Tran (Alumni) MSc. Le Minh Quoc (Alumni) MSc. Dinh Bao Tuyen (Alumni) MSc. Duong Trong Dinh (Alumni) MSc. Huy Nguyen (Alumni) MSc. Nguyen Thanh Quang (Alumni) MSc. Vu Ngoc Sen (Alumni) Research Master Thesis An Approximation Approach for a Real–World Variant of Vehicle Routing Problem – Dang Thi Thanh Nguyen (2011) A meta-heuristic approach for Cell Formation Problem – Dinh Bao Tuyen (2011) Sports Video Classification using Bag of Words Model – Duong Trong Dinh (2011) MovieLens Recommendation System – Huy Nguyen (2012) Using ambient audio in secure mobile phone communication Authors – Nguyen Le Nguyen Ngu (2012) Real-World Asymmetric Vehicle Routing Problem – Pham Tu San (2012) Positioning and Traffic Estimation based on Mobile Phone Cell-IDs – Truong Phuoc Loc (2013) Variable Neighborhood Search for Water Distribution Network Design Problem – Nguyen Thanh Quang (2013) Iterated Local Search in Nurse Rostering Problem – Vu Ngoc Sen (2013) Indoor Human Action Recognition System using RGBD data – Ho Tuan Thanh (2013) 2008 Mobile GPS System – Pham Hoang Hai, Truong Phuoc Loc 2009 A Self-Drawing Map System – Tran Minh Quang, Nguyen Ngoc Thi A Geographical Information Retrieval using Self-Collected Spatial and Non-Spatial Data – Pham Tu San, Ho Tuan Thanh A Real Time Player Tracking System for Broadcast Tennis Video – Dang Vinh Bao, Tran Minh An 2010 tnBus – Tran Viet Xuan Phuong, Le Thanh Trung tnTruck – Nguyen Quynh Mai, Nguyen Tran Vu tnTaxi – Le Duc Tung, Nguyen Sy Phu Background Subtraction and Object Tracking for Traffic Surveillance Systems – Chau The Hai, Hong Chan Phat Human Detection for Class Surveillance Systems – Nguyen Xuan Tuong Huy, Nguyen Hoang Vu 2011 CineCafe – Doan Trung Tin, Tran Kim Tuyen tnTruck v2 – Phan Viet Huy MyPlace: A Location-based Social Network – Huynh Nam, Bui Nguyen Thuc Minh, Nguyen Khoa Nam A Location-based Commerce System – Le Van Long, Nguyen Thi Ngoc Nhi A Human Detection System – Huy Nguyen, Vu Nguyen News with Recommendations Using Sencha Touch Framework – Le Minh Quoc, Nguyen Minh Phuong Thao A Multiple Object Tracking System – Huynh Vinh Loc, Nguyen Thanh Dat An Efficient Human-Computer Interaction Framework Using Skin Color Tracking and Gesture Recognition – Nam Vo, Quang Tran A Stochastic Optimization Method for Solving the Machine–Part Cell Formation Problem – Trinh Tran Dang Khoa, Pham Tuan Vu 2012 Secure Authentication For Mobile Devices Based On Acoustic Background Fingerprint – Quan Quach, Hai Hoang 2013 Augmented Virtual Fitting Room using Kinect for Xbox 360 – Nguyen Mau Toan, Duong Huu Phuoc Interactive Face Labeling System in Real-World Videos – Nguyen Hai Trieu, Nguyen Ngoc Hien 2015 Localization and Velocity Estimation – Hung Nguyen, My Tho Ho A Super Market Management System – Vo Ly Minh Nhan, Luu Minh Tan Metaheuristic approach in scheduling appointments for chemotherapy – Nguyen Hoang Nhat Minh, Le Minh Duc 2017 Interior Decoration using Virtual Reality with Samsung Gear VR – Vo Thi Nhat Linh, Ho Huynh Ngoc Mai Meta-heuristics to solve a districting problem of a public medical clinic – Tran Tinh Chi MergedGrid - An algorithm for continuous constrained k nearest neighbor monitoring – Nguyen Le Bao, Nguyen Quang Minh Tri Counting People from Overhead RGB Camera Using Virtual Sensor – Khoi Hoang, Kiet The Chuong 2018 A Blockchain-based Peer-to-Peer Lending System – Nguyen Hoang Thien, Nguyen Chau Thanh Thien Camera-Based Fall Detection System – Chuong Tuan Kiet, Huynh Minh Phu Restaurant Management System – Nguyen Phu Cuong, Do Tri Khai Brain Tumor Segmentation in MRI Images – Nguyen Binh An, Vo Hai Trieu Possible collaborative activities Prof. Jacques A. Ferland, Université de Montréal Prof. Viviane Gascon, Universite du Quebec a Trois-Rivieres, Trois-Rivieres, QC, Canada Prof. Patrick De Causmaecker, Faculty of Science, Kulak Kortrijk Campus Link demo, website show research information (youtube...) https://www.youtube.com/playlist?list=PL3Bp9JDvkArZbgBQFfQpAEA0HI1xkM91S Scientific publication https://link.springer.com/chapter/10.1007/978-3-642-19953-0_9 https://ieeexplore.ieee.org/document/6022360 https://ieeexplore.ieee.org/document/6118237 https://link.springer.com/chapter/10.1007/978-3-642-24728-6_22 https://dl.acm.org/citation.cfm?id=2069223 http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6169831 http://www.medien.ifi.lmu.de/iwssi2012/papers/iwssi-spmu2012-sigg.pdf https://ieeexplore.ieee.org/document/6246148 https://ieeexplore.ieee.org/document/6197527 http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6169856 https://dblp.org/db/journals/fuin/fuin130.html https://dl.acm.org/citation.cfm?id=2542093 https://ieeexplore.ieee.org/document/6621298 https://dl.acm.org/citation.cfm?id=3287957 https://ieeexplore.ieee.org/document/8119475 https://dl.acm.org/citation.cfm?id=3155146 https://ieeexplore.ieee.org/document/7049875 https://link.springer.com/chapter/10.1007/978-3-319-02741-8_22 https://link.springer.com/chapter/10.1007/978-3-642-39640-3_23 https://dl.acm.org/citation.cfm?id=2542088 https://link.springer.com/chapter/10.1007/978-3-642-39640-3_29 https://link.springer.com/chapter/10.1007/978-3-642-39640-3_41 https://link.springer.com/chapter/10.1007/978-3-319-02741-8_32 https://link.springer.com/chapter/10.1007/978-3-642-24728-6_22 https://ieeexplore.ieee.org/document/5633368 https://ieeexplore.ieee.org/document/5353915 https://ieeexplore.ieee.org/document/5771454 https://ieeexplore.ieee.org/document/5995733 https://link.springer.com/chapter/10.1007/978-3-642-20042-7_22 https://ieeexplore.ieee.org/document/6169871 https://dl.acm.org/citation.cfm?id=2095729 https://link.springer.com/chapter/10.1007/978-3-642-25944-9_74 https://link.springer.com/chapter/10.1007/978-3-642-12101-2_12 Natural language processing Our research group belongs to the Computational Linguistics Center at the University of Science, VNU-HCM, an interdisciplinary research center bridging the fields of linguistics and computer science, specializing in natural language processing for Vietnamese and related languages by constructing and leveraging relevant language resources. In particular, our team specializes in the extraction of resources from ancient texts written in Han-Nom script through tasks such as Optical Character Recognition (OCR), phonetic transcription from Han-Nom to Latin script, and semantic translation into contemporary Vietnamese. We have published over 200 papers in domestic and international journals and conference proceedings related to the aforementioned research areas. The results of our software have been practically applied and can be accessed at our website: https://tools.clc.hcmus.edu.vn/. Study topic Language resources Word Processing Member Assoc. Prof. Dr. Dinh Dien Dr. Nguyen Hong Buu Long Dr. Luong An Vinh Dr. Nguyen Thi Nhu Diep Dr. Nguyen Tuyet Nhung MSc. Le Thi Thuy Hang BSc. Thai Hoang Lam Student. Duong Thi An Typical research topics Automatically convert Nom text into Quoc Ngu script (project at HCMC level) Korean - Vietnamese machine translation (in cooperation with SYSTRAN) OALD English - English - Vietnamese Dictionary (in partnership with Oxford University Press (OUP)) Kim Tu Dien electronic dictionary (in cooperation with Kim Tu Dien company) Possible collaborative activities Building and exploiting dictionaries, Vietnamese corpus, bilingual/parallel multilingual corpus, word processing tools (Text classification, Text similarity, Spell check, Grammar check Methods, Text Difficulty Assessment, Text Style, Psychological Analysis in Text, Automatic Translation, Text Summary, Text/Opinion Mining, Plagiarism Detection...), applications to teach Vietnamese to foreigners, teach foreign languages to Vietnamese, software for the blind... Reference Link researches information: www.clc.hcmus.edu.vn Website translates: https://tools.clc.hcmus.edu.vn/ Scientific publications (typical) 1. Duc Huu Trinh, Trinh Le-Phuong Ngo, Long H.B. Nguyen and Dien Dinh “Applying Cross-view Training for Dependency Parsing in Vietnamese”, ICIC Express Letters, Part B: Applications, Volume 13, Number 3, March 2022 (SCOPUS) 2. Binh Le, Binh Nguyen, Long Nguyen and Dien Dinh “PhraseAttn: Dynamic Slot Capsule Networks for Phrase Representation in Neural Machine Translation”, Journal of Intelligent & Fuzzy Systems, vol. 42, no. 4, pp. 3871-3878, 2022 (SCI-E) 3. Long Nguyen, Nghi Pham, Duc Le, Duy Vu, Dien Dinh “Moment Matching Training for Neural Machine Translation: An Empirical Study”, Journal of Intelligent and Fuzzy Systems, vol. 43, no. 3, pp. 2633-2645, 2022 (SCI-E) 4. Dien Dinh & Nguyen Le Thanh “Vietnamese Sentence Paraphrase Identification using Pre-trained Model and Linguistic Knowledge”, International Journal of Advanced Computer Science and Applications(IJACSA), Volume 12 Issue 8. http://dx.doi.org/10.14569/IJACSA.2021.0120891 (ESCI) 5. Long Hong Buu Nguyen, Viet H. Pham, Dien Dinh “Improving Neural Machine Translation with AMR Semantic Graphs”, Mathematical Problems in Engineering, vol. 2021, Article ID 9939389, 12 pages, 2021. https://doi.org/10.1155/2021/9939389 (SCI-E) 6. Tu Dinh Tran, Minh Nhat Ha, Long Hong Buu Nguyen & Dien Dinh “Improving Multi-Grained Named Entity Recognition with BERT and Focal Loss”, ICIC Express Letters, Part B: Applications, Volume 12, Number 3, March 2021, DOI: 10.24507/icicelb.12.01.92 (SCOPUS) 7. Dien Dinh, Phuong Nguyen & Long Hong Buu Nguyen “Transliterating Nôm Scripts into Vietnamese National Scripts using Statistical Machine Translation” International Journal of Advanced Computer Science and Applications(IJACSA), 12(2), 2021. (ESCI) 8. Long Hong Buu Nguyen, Hung Duong Minh, Dien Dinh & Thanh Le Manh “Improving Neural Machine Translation with POS Tags”, ICIC Express Letters, Part B: Applications, Volume 12, Number 1, January 2021, DOI: 10.24507/icicelb.12.01.91 (SCOPUS) 9. Long Nguyen, Viet Pham, Hung Minh, Dien Dinh & Thanh Manh “Integrating AMR Semantic Graphs to Convolutional Neural Machine Translation”, ICIC Express Letters, Part B: Applications, Volume 12, Number 2, January 2021, DOI: 10.24507/icicelb.12.02.133 (SCOPUS) 10. Nhi-Thao Tran, Minh-Quoc Nghiem, Nhung Thi Hong Nguyen, Ngan Luu-Thuy Nguyen, Nam Van Chi & Dien Dinh “ViMs: a high-quality Vietnamese dataset for abstractive multi-document summarization”, Lang Resources & Evaluation, vol. 54, no. 4, pp. 893–920, Dec. 2020, doi: 10.1007/s10579-020-09495-4 (SCI-E) 11. An-Vinh Luong, Diep Nguyen & Dien Dinh “Building a Corpus for Vietnamese Text Readability Assessment in The Literature Domain”, Universal Journal of Educational Research, 8(10), 4996 - 5004. DOI: 10.13189/ujer.2020.081073 (SCOPUS) 12. An-Vinh Luong, Diep Nguyen, Dien Dinh & Thuy Bui “Assessing Vietnamese Text Readability using Multi-Level Linguistic Features”, International Journal of Advanced Computer Science and Applications (IJACSA), 11(8), 100–111. http://dx.doi.org/10.14569/IJACSA.2020.0110814 (ESCI) 13. An-Vinh Luong, Diep Nguyen & Dien Dinh “Examining the Part-of-speech Features in Assessing the Readability of Vietnamese Texts”, Acta Linguistica Asiatica, 10(2), 127–142. https://doi.org/10.4312/ala.10.2.127-142 (SCOPUS) 14. Long Ly, Quang Nguyen, Long Hong Buu Nguyen & Dinh Dien “Integrating Structural Dependencies in Neural Machine Translation Using Graph Convolutional Networks”, ICIC Express Letters. Part B, Applications : An International Journal of Research and Surveys, 10(12), 1067–1075. https://doi.org/10.24507/icicelb.10.12.1067 (SCOPUS) 15. Le Thanh Nguyen & Dinh Dien “English–Vietnamese cross-language paraphrase identification using hybrid feature classes”, Journal of Heuristics. doi:10.1007/s10732-019-09411-2 (SCI-E) 16. Le Ngoc Tan, Sadat Fatiha, Menard Lucie & Dinh Dien “Low-Resource Machine Transliteration Using Recurrent Neural Networks”, ACM Transactions on Asian and Low-Resource Language Information Processing, 18(2), 1–14. doi:10.1145/3265752 (SCI-E) 17. Diep Nguyen, An-Vinh Luong & Dien Dinh “Affection of the part of speech elements in Vietnamese text readability”, Acta Linguistica Asiatica, 9(1), 105-118. https://doi.org/10.4312/ala.9.1.105-118 (SCOPUS) 18. Phuoc Tran, Dien Dinh, Tan Le & Long Hong Buu Nguyen “Linguistic-Relationships-Based Approach for Improving Word Alignment”, ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), 2017. DOI: 10.1145/3133323 (SCI-E) 19. Phuoc Tran, Dien Dinh & Hien Thanh Nguyen “Improving Word Alignment Based on Named Entity”, International Journal of Innovative Computing, Information and Control – ICIC Express Letters, Part B: Applications, Volume 8, Issue 7, July 2017. DOI: 10.24507/icicelb.08.07.1121 (SCOPUS) 20. Phuoc Tran, Dien Dinh & Long Hong Buu Nguyen “Word Re-Segmentation in Chinese-Vietnamese Machine Translation”, ACM Trans. Asian Low-Resour. Lang. Inf. Process. 16, 2, Article 12 (November 2016), 22 pages. DOI: https://doi.org/10.1145/2988237 (SCI-E) 21. Long Hong Buu Nguyen, Dien Dinh & Phuoc Tran “An Approach to Construct a Named Entity Annotated English-Vietnamese Bilingual Corpus”, ACM Trans. Asian Low-Resour. Lang. Inf. Process. 16, 2, Article 9 (October 2016), 17 pages. DOI: https://doi.org/10.1145/2990191 (SCI-E) 22. Phuoc Tran, Dien Dinh & Hien Nguyen “A Character-Level-Based and Word-Level-Based Approach for Chinese-Vietnamese Machine Translation”, Computational Intelligence and Neuroscience, Volume 2016 (2016), Article ID 9821608, DOI: 10.1155/2016/9821608 (SCI-E) Speech processing The group focuses on issues related to Vietnamese language processing, such as sound and language modeling, building audio and text data warehouses, audio and music querying, speaker verification and recognition, and voice translation. Some results such as the system to automatically generate subtitles for Vietnamese news bulletins on Youtube channel and the system to support the automatic generation of meeting minutes from voice. Topic Research topics revolve around issues related to speech processing for Vietnamese, including: Acoustic Modeling, Language Modeling for LVCSR Corpus Developments (audio & text) Audio, Music Retrieval Unit Selection Synthesis, HMM Synthesis Speaker Verification/Speaker Recognition Speech Translation Member Assoc. Prof. Dr. Vu Hai Quan (leader) Dr. Nguyen Duc Hoang Ha Dr. Chau Thanh Duc Dr. Dau Ngoc Ha Duong Dr. Ngo Minh Nhut MCs. Cao Xuan Nam MCs. Pham Minh Nhut Research Speech Translation for Vietnamese(2011-2012,National Key Project) Acoustic Modelling of Under-Resourced Languages Exploiting Feature Space Constraints: Vietnamese Case Study (2011-2012, VNU-HCM National Key Project) Voice Server and its applications (2010-2011, DOST-Ho Chi Minh city) Video Retrieval Based on Semantic Concepts: Vietnamese Case Study (2009 – 2010, National Key Project) Bioinformatics and its Applications for Repairing Vaccine (2008 – 2010, National key project) Video Based Audio Search (2007 – 2008, Ministry of Science & Technology) Vietnamese Unit Selection Synthesis (2008 – 2009, VNU-HCM National Key Project) Possible collaborative activities Microphone Array VNCare Vietcap Smart Globe Drip Monitoring Device Sigma (Supreme Initiative Global Model for Alternated education) Links of demo, website, video VNCare: http://vncare.org VOS-Voice of Southern Vietnam: https://www.ailab.hcmus.edu.vn/vosdemo Live Speech Recognition: https://www.ailab.hcmus.edu.vn/asrdemo Smart Meeting Diarization: http://quochoi.vietcap.org/ Audio signal processing Our group aims to explore the applications of audio processing such as voice recognition, speaker identification, and steganography in sound. Initially, we mainly focused on providing guidance on thesis / dissertation for students and researching technologies to solve related problems. We will register our project when the results and resources allow. Topic Voice recognition, speaker recognition, data hiding on audio. Member Dr. Chau Thanh Duc Dr. Nguyen Hai Minh Dr. Ngo Minh Nhut MSc. Cao Xuan Nam Nguyen Ha Vu Duy (Graduated student) Nguyen Thi Thanh Trang (Regular Student) Tran Nguyen Son Thanh (APCS Student) Huynh Ha Mai Trinh (APCS Student) Vo Thanh Phuong (Student) Huynh Hong An (Student) Information retrieval and text mining The group focuses on topics including information search models, cross-language information search, text mining (such as legal documents), and big data analysis. Study topic Information Search Models (IR Models) Cross-Language IR (Cross-Language IR) Text Mining (Text Mining) Big Data Analytics (Big Data Analytics) Member Assoc.Prof.Dr. Ho Bao Quoc Dr. Le Thi Nhan Dr. Nguyen Truong Son PhD student. Le Hoai Nam Research Mining English-Vietnamese corpus from Internet Building tools and resources for Vietnamese natural language processing (Building tools and resources for Vietnamese Natural Language Processing) – Branch project KC01 Building a Vietnamese-French-English Cross Languages Information Retrieval System (Building a Vietnamese-Frech-English Cross Languages Information Retrieval System) International cooperation project - sponsored by AUF Text mining for legal text - A topic at the National University of Ho Chi Minh City. Ho Chi Minh City Possible collaborative activities Projects on Information Search (monolingual, multilingual) Projects to extract information from documents (Medical, Law, etc.) Big data analytics projects Scientific publication 1. Huan Doan, Dinh Thuan Nguyen, Bao Quoc Ho: Building a Measure to Integrate into a Hybrid Data Mining Method to Analyze the Risk of Customer. Advanced Computer and Communication Engineering Technology, 01/2016: pages 843-851; ISBN: 978-3-319-24582-9, DOI:10.1007/978-3-319-24584-3_71 2. Le Nguyen Hoai Nam, Ho Bao Quoc: The Hybrid Filter Feature Selection Methods for Improving High-Dimensional Text Categorization. International Journal of Uncertainty Fuzziness and Knowledge-Based Systems 04/2017; 25(02):235-265., DOI:10.1142/S021848851750009X 3. Nguyen Truong Son, Le Minh Nguyen, Ho Bao Quoc, Akira Shimazu: Recognizing logical parts in legal texts using neural architectures. 2016 Eighth International Conference on Knowledge and Systems Engineering (KSE); 10/2016, DOI:10.1109/KSE.2016.7758062 4. Nghia Huynh, Lam Vu, Quoc Ho: A hybrid approach for DocTime classification. 2016 Eighth International Conference on Knowledge and Systems Engineering (KSE); 10/2016, DOI:10.1109/KSE.2016.7758053 5. Le Nguyen Hoai Nam, Ho Bao Quoc: A Comprehensive Filter Feature Selection for Improving Document Classification. The 29th Pacific Asia Conference on Language, Information and Computation (PACLIC 2015), Shanghai, China; 11/2015 6. Le Nguyen Hoai Nam, Ho Bao Quoc: A Combined Approach for Filter Feature Selection in Document Classification. 27th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2015), Vietri sur Mare, Italy; 11/2015, DOI:10.1109/ICTAI.2015.56 7. Nghia Huynh, Quoc Ho: A Combined Approach for Disease/Disorder Template Filling. 7th International Conference on Knowledge and Systems Engineering, Ho Chi Minh, Vietnam; 10/2015, DOI:10.1109/KSE.2015.62 8. Quoc Ho, Nghia Huynh: TeamHCMUS: Analysis of Clinical Text. The 9th International Workshop on Semantic Evaluation, Denver, Colorado; 06/2015, DOI:10.18653/v1/S15-2063 9. Son Nguyen, Quoc Ho, Minh Nguyen: JAIST: A two-phase machine learning approach for identifying discourse relations in newswire texts. Proceedings of the Nineteenth Conference on Computational Natural Language Learning - Shared Task; 01/2015, DOI:10.18653/v1/K15-2010 10. Thinh D. Bui, Quoc B. Ho: An approach for automatically structuring Vietnamese legal text. Proceedings of the International Conference on Asian Language Processing 2014, IALP 2014; 12/2014, DOI:10.1109/IALP.2014.6973500 11. Huu Nghia Huynh, Bao-Quoc Ho: A Rule-based Approach for Relation Extraction from Clinical Documents. Asian Conference on Information Systems 2014, Nha trang, Vietnam; 12/2014 12. Son Nguyen, Ho Bao Quoc, Nguyen Le Minh: Recognizing logical parts in Vietnamese Legal Texts using Conditional Random Fields. The 11th IEEE-RIVF International Conference on Computing and Communication Technologies (RIVF2015); 11/2014, DOI:10.1109/RIVF.2015.7049865 13. Bui Dac Thinh, Nguyen Truong Son, Ho Bao Quoc: Towards a Conceptual Search for Vietnamese Legal Text. 13th International Conference on Computer Information Systems and Industrial Management Applications; 11/2014, DOI:10.13140/2.1.2885.0563 14. Bao-Quoc Ho, Huu Nghia Huynh, Son Lam Vu: ShARe/CLEFeHealth: A Hybrid Approach for Task 2. Working Notes for CLEF 2014 Conference, Sheffield, UK; 09/2014 15. Xuan Quang Pham, Minh Quang Le, Bao Quoc Ho: A Hybrid approach for biomedical event extraction. Proceedings of the BioNLP Shared Task 2013 Workshop; 08/2013 16. Thành Nguyễn, Bao-Quoc HO: Semantic Integration In MMR For Multi- Document Summarization. FAIR - Fundamental and Applied IT Research, Hue University of Sciences, Hue City, Vietnam; 06/2013, DOI:10.13140/2.1.1779.6160 17. Hoai-Duc Tuan-Nguyen, Bao-Quoc Ho, Tuan-Dung Bui, Minh-Chau Hoang: A Grammatically Structured Noun Phrase Extractor for Vietnamese. Computing and Communication Technologies, Research, Innovation, and Vision for the Future (RIVF), 2012 IEEE RIVF International Conference on; 02/2012, DOI:10.1109/rivf.2012.6169837 18. Quang Le Minh, Son Nguyen Truong, Quoc Ho Bao: A pattern approach for biomedical event annotation. Proceedings of the BioNLP Shared Task 2011 Workshop; 06/2011 19. Quang-Vinh Tran, Ryutaro Ichise, Bao-Quoc Ho: Cluster-based similarity aggregation for ontology matching.. Proceedings of the 6th International Workshop on Ontology Matching, Bonn, Germany, October 24, 2011; 01/2011 20. Bao-Quoc Ho, Van B. Dang, Minh V. Luong, Thuy T.B. Dong: English-Vietnamese Cross-Language Information Retrieval: An experimental study. Research, Innovation and Vision for the Future, 2008. RIVF 2008. IEEE International Conference on; 08/2008, DOI:10.1109/RIVF.2008.4586341 21. Ho Bao Quoc: Vietnamese Text Retrieval: Test Collection and First Experimentations. The First International Workshop on Evaluating Information Access; 04/2007 22. Van B. Dang, Bao-Quoc Ho: Automatic Construction of English-Vietnamese Parallel Corpus through Web Mining. Research, Innovation and Vision for the Future, 2007 IEEE International Conference on; 04/2007, DOI:10.1109/RIVF.2007.369166 23. Q. Le Minh, S.N. Truong, Q.H. Bao: A pattern approach for biomedical event annotation. Proceedings of the BioNLP Shared Task 2011 Workshop; 04/2007 24. Bao-Quoc Ho, Dong Thi Bich Thuy, Jean-Pierre Chevallet, Marie-France Bruandet: A structured indexing model based on noun phrases. 4th International Confernce on Computer Sciences: Research, Innovation and Vision for the Future, February 12-16, 2006, Ho Chi Minh City, Vietnam; 01/2006, DOI:10.1109/RIVF.2006.1696423 25. Bao-Quoc Ho, Jean-Pierre Chevallet, Marie-France Bruandet: Recherche d'Information Bilingue français-vietnamien. Actes de la Deuxieme Conference Internationale Associant Chercheurs Vietnamiens et Francophones en Informatique, Hanoï Vietnam, 2-5 Février 2004; 01/2004 26. Marie-France Bruandet, Jean-Pierre Chevallet, Dong Thi, Bich Thuy, Ho Bao Quoc: An approach to Vietnamese Information Retrieval.. RIVF; 01/2002 Biometrics Biometrics techniques have been widely applied in practical applications such as automatic control, access control, financial management, etc. The success of these applications depends on much on the quality of the image received from the input device. In practice, the imported image is often of poor quality due to objective noise, or the influence of the receiving device. To overcome this limitation, the data-driven approach has been used by researchers to improve performance when solving biometric problems. Machine learning algorithms are one of the most popular methods of data-driven approach, recent studies show that this method has brought many benefits in biometric systems. Machine learning (ML) algorithms, such as: K-nearest neighbors, deep neural networks, support vector machines, image feature representation, evolutionary computation etc... suggest a new and effective approach to biometrics problems. As such, the research team focuses on understanding the application of machine learning algorithms to biometric applications. Going forward, propose new algorithmic improvements to enhance the performance of biometric systems in various practical fields. Some of the topics of interest include Application of machine learning in biometrics Biometric features (fingerprint biometrics, facial biometrics, etc.) Apply artificial neural network technology and fuzzy logic in biometrics. Multi-biometric combination techniques. Tracking and monitoring the subject's face Deep learning models in biometric recognition. Theory and application of multiple biometrics. Integrate biometric data in personal identification. Topics Machine learning algorithms (ML), Pattern recognition, Biometric applications. Member Assoc.Prof.Dr. Le Hoang Thai Dr. Van Thien Hoang PhD student. Tran Binh Long PhD student. Tran Son Hai Typical research project Development of a number of soft computational models for the problem of tracing human face images looking straight ahead (City level), acceptance 2010. Building a model to extract facial image features for object recognition problem (B2012-18-24; National University level), acceptance in 2013. Multi-state human face image feature descriptor for real-time object tracing application (C2014-18-01; National University level), acceptance 2016. Possible collaborative activities Implement projects on pattern recognition and applications of biometrics. Links of demo, website, video Homepage: https://en.hcmus.edu.vn/le-hoang-thai References https://scholar.google.com.vn/citations?user=iLrASfYAAAAJ&hl=en&oi=ao https://www.researchgate.net/profile/Thai_Le19 Published articles (typical) 1. Thai Hoang Le. Applying Artificial Neural Networks for Face Recognition. Advances in Artificial Neural Systems, Volume 2011, Article ID 673016, 16 pages. 2. Thai Hoang Le and Hoang Thien Van. Fingerprint reference point detection for image retrieval based on symmetry and variation. Journal Pattern Recognition, Volume 45, Issue 9, September, pp.3360-3372, Elsevier Science Inc. New York, NY, USA, ISSN:0031-3203, 2012. 3. Thai Hoang Le, Hung Phuoc Truong, Ha Thi Thanh Do and Duc Minh Vo. On approaching 2D-FPCA technique to improve image representation in frequency domain. Proceedings Of The Fourth Symposium On Information And Communication Technology, SoICT 2013, DaNang, Vietnam, December 5-6, 2013, pp. 172-180. 4. Khoa Dang Dang and Thai Hoang Le. Locality oriented feature extraction for small training datasets using non-negative matrix factorization. Vietnam Journal of Computer Science, Vol 1(4), pp. 257-267, Springer, Vietnam, 2014. 5. Hoang Thien Van, Thai Hoang Le and Tien Ba Dinh. Efficient palmprint identification using novel symmetry filter and alignment refinement. International Journal of Biometrics, Volume 7, Issue 3, pp.213-225, Inderscience Publishers (IEL), 2015. 6.Thai Hoang Le. On Approaching Heuristic Weight Mask To Enhance LBP-Based Profile Face Recognition System. Indian Journal of Science and Technology, Volume 9, Issue 17, May 2016. 7. Hai Son Tran, Thai Hoang Le and Thuy Thanh Nguyen. The Degree of Skin Burns Images Recognition using Convolutional Neural Network. Indian Journal of Science and Technology, Volume 9, Issue 45, December 2016. 8. Long Binh Tran and Thai Hoang Le. Multimodal Personal Verification Using Likelihood Ratio for the Match Score Fusion. Computational Intelligence and Neuroscience (CIN), vol.2017, Article ID 9345969, 9 pages, 2017. 9. Khoa Tan Truong and Thai Hoang Le. Video-Based Face Recognition Using Shape And Texture Information In 3D Morphable Model. JP Journal of Heat and Mass Transfer – Pushpa Publishing House, Allahabad, India, 2018. Visual Data Science Wisdom Vision Group (WiViG) (Vision Data Science Group) Purpose WiViG sets itself the task of linking Research, Training and Application between Faculty Lecturers, Students and Company to take advantage of the strengths of each participant. Promote research directions in Visual Data Science, Artificial Intelligence, Machine Learning, Deep Learning, Internet of Things in the discipline to take advantage of the Department's research capabilities. Linking research with training and guiding theses and internships for undergraduate, graduate, and doctoral students in order to take advantage of the students' ability to work and be creative. Connecting with companies through teaching topics, transferring technology, collaborating on projects to take advantage of the company's practical approach. Member Meritorious teacher, Assoc.Prof.Dr. Ly Quoc Ngoc Dr. Tran Thai Son Dr. Nguyen Duc Hoang Ha Dr. Vo Hoai Viet PhD Student. Pham Minh Hoang MSc. Pham Thanh Tung MSc. Do Thi Thanh Ha Undergraduate students, graduate students, PhD students Main research topic Visual Data Science (2D-3D Computer Graphics, Digital Image and Digital Video Processing, Computer Vision, 2D-3D). Artificial intelligence Machine learning, deep learning Statistical analysis of multivariate data Math Methods in Visual Data Science Internet of Things In-depth research topics Intelligent security monitoring system. Intelligent photo and video query system Medical imaging-based diagnostic system for musculoskeletal diseases An early diagnosis system is possible based on medical images. The system detects human behavior and traffic accidents early. eKYC system (face recognition, print, signature, handwriting, external text). The self-propelled system is capable of avoiding static and dynamic obstacles based on cameras, radar, lidar. Autonomous support system in agriculture (livestock, crop). Three-dimensional object reconstruction system (reproduction of human face, body, physical heritage, architectural landscape). Artificial intelligence is capable of diagnosing diseases, detecting traffic accidents, investigating crimes. Artificial intelligence generated in the association of text data, voice, brain waves with images. Advanced learning models: Learning to learn, Reinforcement learning, Collaborative learning, Associative learning. Application of Visual Data Science in Virtual Reality, Augmented Reality Internet of Things in Agriculture. Some typical projects funded 1. Project title: Building an intelligent system to detect errors in website design and support automatic correction Research level: cooperation between Ho Chi Minh University of Natural Sciences and KMS . company Implementation year: 2021 – 2022. 2. Project title: Intelligent services to support monitoring and statistics of people's activities based on visual information Research level: National University level B (code B2018-18-01) Year of implementation: 2018 -2020 3. Project title: Identifying abnormal behavior based on skeleton Research level: cooperation between Ho Chi Minh University of Natural Sciences and Korean company SNA Year of implementation: 2019 - 2020 4. Project title: Image data mining based on three-dimensional entity reconstruction Research level: National University level B (code B2014-18-02) Year of implementation: 2014 -2016 5. Title: Reconstruction of a three-dimensional human face to support criminal identification Research level: cooperation between the research group of Computer Vision and Intelligent Cybernetics with Vigilant Video company. Year of implementation: 2014 – 2015 6. Project title: Number recognition on electric meters Research level: cooperation between the research team of the Department of Computer Vision and Intelligent Cybernetics with the Southern Power Corporation. Year of implementation: 2013 - 2014 7. Title: Identifying human actions and predicting human faces and emotions over time Research level: National University level C (code B2012-18-21) Year of implementation: 2012 -2013 8. Project title: Researching and building a number of multimedia information exploitation systems that support Vietnamese Branch topic manager: Sports video query based on multimodal model Research level: State level (code KC.01.16/06-10) Year of implementation: 2009 -2010 Some of the typical scientific publications in the Journals of the Scopus/Web of Science category [1] Ngoc Q. Ly, Tuong K. Do, Binh X. Nguyen, "Large-Scale Coarse-to-Fine Object Retrieval Ontology and Deep Local Multitask Learning", Computational Intelligence and Neuroscience, vol. 2019, Article ID 1483294, 40 pages, 2019. https://doi.org/10.1155/2019/1483294, SCIE, Q1, IF: 3.1 [2] Loan Dao, Ngoc quoc Ly, “A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks”, International Journal of Advanced Computer Science and Applications(IJACSA), 14(3), 2023. ESCI-Scopus (Q3), IF: 1.162 [3] Ngoc Q. Ly, Hieu N. M. Cao and Thi T. Nguyen, “Person Re-Identification System at Semantic Level based on Pedestrian Attributes Ontology” International Journal of Advanced Computer Science and Applications(IJACSA), 11(2), 2020, pp. 504-513. http://dx.doi.org/10.14569/IJACSA.2020.0110264, ESCI-Scopus (Q3), IF: 1.162 [4] Ngoc Q. Ly, Tan T. Nguyen, Tai C. Vong and Cuong V. Than, “The New High-Performance Face Tracking System based on Detection-Tracking and Tracklet-Tracklet Association in Semi-Online Mode” International Journal of Advanced Computer Science and Applications(IJACSA), 11(3), 2020, pp. 17-28 http://dx.doi.org/10.14569/IJACSA.2020.0110303, ESCI-Scopus (Q3), IF: 1.162 [5] Ly Quoc Ngoc, Nguyen Thanh Tin and Le Bao Tuan, “A New Framework of Moving Object Tracking based on Object Detection-Tracking with Removal of Moving Features” International Journal of Advanced Computer Science and Applications(IJACSA), 11(4), 2020, pp. 36-46. http://dx.doi.org/10.14569/IJACSA.2020.0110406, ESCI-Scopus (Q3), IF: 1.162 [6] Ly Quoc Ngoc, Vo Hoai Viet, Tran Thai Son and Pham Minh Hoang, “A Robust Approach for Action Recognition Based on Spatio-Temporal Features in RGB-D Sequences” International Journal of Advanced Computer Science and Applications(IJACSA), 7(5), 2016, , pp.166-177. http://dx.doi.org/10.14569/IJACSA.2016.070526, ESCI-Scopus (Q3), IF: 1.162 [7] Vo Hoai Viet, Tran Thai Son and Ly Quoc Ngoc, “Hybrid Deep Network and Polar Transformation Features for Static Hand Gesture Recognition in Depth Data” International Journal of Advanced Computer Science and Applications(IJACSA), 7(5), 2016, pp.255-263. http://dx.doi.org/10.14569/IJACSA.2016.070536, ESCI-Scopus (Q3), IF: 1.162 Some typical scientific publications in prestigious domestic journals [1] Quoc Ngoc Ly, Anh Duc Duong. Hierarchical Data Model based on Content-based Image Retrieval. International Journal of Information Technology, p. 1-10, No. 12(5), Singapore Computer Society, 2006. [2] Nguyen Lam, Ly Quoc Ngoc, Duong Anh Duc. Combining visual and semantic features in video queries. Journal of Informatics and Cybernetics, 23(1), p. 27-38, 2007. [3] Nguyen Lam, Ly Quoc Ngoc. Automated analysis of digital video data based on a hierarchical data model. Journal of Informatics and Cybernetics, 21(1), p. 38-46, 2005. [4] Nguyen Lam, Ly Quoc Ngoc, Duong Anh Duc. Image query based on image spelling method. Journal of Science and Technology Development, Vietnam National University, Ho Chi Minh City, 8(7), p. 25-34, 2005. [5] Nguyen Lam, Ly Quoc Ngoc. Automated analysis of digital video data supports content-based visual information retrieval. Journal of Science and Technology Development, Vietnam National University, Ho Chi Minh City, 8(4), p. 11-20, 2005. [6] Le Dinh Minh Duc, Nguyen Trung Dung, Ly Quoc Ngoc. Facial Expressions Recognition based on Joint Shape-Texture cues in video. Journal of Science, special issue: Natural Sciences and Technology, The Fifth Workshop E-learning Architecture and Technology, HCM City University of Education, December, 2013, pp.111-125. [7] Trang Phung, Ngoc Q.Ly, An overview of facial attribute learning, HCMc University of Education Journal of Science, Vol. 18, No. 3 (2021), pp. 572-591. Some typical scientific publications in prestigious international conference proceedings (with Scopus, IEEE, Springer indexes) [1] T. L. -P. Huynh and N. Q. Ly, Image Retrieval with Text Feedback based on Transformer Deep Model, 2021 8th NAFOSTED Conference on Information and Computer Science (NICS), 2021, pp. 182-187. [2] Trang Phung, Ngoc Q. Ly, Deep Feature Learning Network for Vehicle Retrieval, ICMLSC (The 5th International Conference on Machine learning and Soft Computing, Sanya, China, 2021. [3] Phuc Thinh Do, Ngoc Quoc Ly. A New High Performance Approach for Crowd Counting Using Human filter. The 2020 7th NAFOSTED Conference on Information and Computer Science (NICS), November 26th – 27th, 2020, Ho Chi Minh city, Vietnam. [4] Thien Thai, Ngoc Quoc Ly. Lightweight Solution to Background Noise in Crowd Counting. The 2020 7th NAFOSTED Conference on Information and Computer Science (NICS), November 26th – 27th, 2020, Ho Chi Minh city, Vietnam. [5] Minh Q Tran, Ngoc Quoc Ly. Mobile Robot Planner with Low-Cost Camera Using Deep Reinforcement Learning. The 2020 7th NAFOSTED Conference on Information and Computer Science (NICS), November 26th – 27th, 2020, Ho Chi Minh city, Vietnam. [6] Luan T Tran, Ngoc Quoc Ly. Online Video Stabilization Based on Converting Deep Dense Optical Flow to Motion Mesh. The 2020 7th NAFOSTED Conference on Information and Computer Science (NICS), November 26th – 27th, 2020, Ho Chi Minh city, Vietnam. [7] Huy Quoc Vo, Tien Hao Phung, Ngoc Quoc Ly. VQASTO: Visual Question Answering System for Action Surveillance Based on Task Ontology. The 2020 7th NAFOSTED Conference on Information and Computer Science (NICS), November 26th – 27th, 2020, Ho Chi Minh city, Vietnam. [8] Vinh Loi Ly, Tuan Doan, Ngoc Quoc Ly. Transformer-based model for Vietnamese Hand Written Word Image Recognition. The 2020 7th NAFOSTED Conference on Information and Computer Science (NICS), November 26th – 27th, 2020, Ho Chi Minh city, Vietnam (Best paper award). [9] Ngoc Q. Ly, Tuong KL Do, Binh X Nguyen, "Enhanced Fashion Attribute Learning Framework adapts to Attributes’inner group Correlations and Imbalanced Data", In 10th International Conference on Knowledge and Systems Engineering (KSE 2018), HCMc, Vietnam, November 1st-3rd, 2018. [10] Phuc Thinh Do, Ngoc Quoc Ly, "A New Framework For Crowded Scene Counting Based On Weighted Sum Of Regressors and Human Classifier", In Ninth International Symposium on Information and Communication Technology (SoICT 2018), Da nang, Vietnam, December 6th-7th, 2018 (In ACM SoICT 2018 Proceedings). [11] An H. Nguyen, Ngoc Quoc Ly, "New Framework for People Counting from Coarse to Fine Could be robust to View and Illumination", The 10th Asean Conference on Intelligent Information and Database Systems (ACIIDS 2018), Dong Hoi, Vietnam, March 19th-21st, 2018 (In the Springer LNAI, Indexed by Web of Science). [12] Hung M. Nguyen, Ngoc Quoc Ly, "Large Scale Face Image Retrieval System at Attribute level based on Facial Attribute Ontology and Deep Neuron Network", The 10th Asean Conference on Intelligent Information and Database Systems (ACIIDS 2018), Dong Hoi, Vietnam, March 19th-21st, 2018 (In the Springer LNAI, Indexed by Web of Science). [13] Tam N. Nguyen, Ngoc Q. Ly. Abnormal Activity Detection based on Dense Spatial-Temporal Features and Improved One-Class Learning. In Proceedings of the Eighth International Symposium on Information and Communication Technology (SoICT 2017), December 7th-8th, 2017, Nha trang, Vietnam, pp 370-377. (DOI: https://doi.org/10.1145/3155133.3155147) (In ACM SoICT 2017 Proceedings). [14] Truong Quang Trung, Ly Quoc Ngoc. Building the Facial Expressions Recognition System based on RGB-D Images in High Performance. The 8th Asian Conference on Intelligent Information and Database systems (ACIIDS 2016), 14-16/03/2016, Da nang, Vietnam, pp.377-387 (In the Springer LNAI, Indexed by Web of Science). [15] Ly Quoc Ngoc, Vu Cong Tan Tai, Tac Quoc Thanh. Building 3D Object Reconstruction System based on Color-Depth Image Sequences. The 8th Asian Conference on Intelligent Information and Database systems (ACIIDS 2016), 14-16/03/2016, Da nang, Vietnam, pp.323-333 (In the Springer Series Study in Computational Intelligence book (SCI book)). [16] Ly Quoc Ngoc, Truong Minh Anh. Specific Behavior Recognition based on Behavior Ontology. The 8th Asian Conference on Intelligent Information and Database systems (ACIIDS 2016), 14th-16th, 2016, Da nang, Vietnam, pp.99-109 (In the Springer Series Study in Computational Intelligence book (SCI book)). [17] Pham Quang Hieu, Ly Quoc Ngoc. Some improvements in the RGB-D SLAM System. The IEEE-RIVF International Conference on Computing and Communication Technologies (RIVF 2015), 25-28/01/2015, Cantho, Vietnam, pp.112-116 (In the IEEE-RIVF 2015 Proceedings). [18] Le Cong Doan, Ly Quoc Ngoc. Building a 3D Face Reconstruction System based on 2D Frontal Facial Image and 3D Morphable Model in High Performance. The IEEE-RIVF International Conference on Computing and Communication Technologies (RIVF 2015), 25-28/01/2015, Cantho, Vietnam, pp.09-12 (In the IEEE-RIVF 2015 Proceedings). [19] Vo Hoai Viet, Ly Quoc Ngoc, Tran Thai Son. Segment-Based Approach and NBNN-HKM for Activity Recognition in Video.IEEE-RIVF 2015 Addendum Contribution ofThe2015 IEEE-RIVF International Conference on Computing and Communication Technologies (RIVF 2015), Can tho, Vietnam, January 25th-28th, 2015, pp. 29-32. [20] Ly Quoc Ngoc, Vo Hoai Viet, Tran Thai Son, Pham Minh Hoang. Multiple Kernel Learning and Optical Flow for Action Recognition in RGB-D Video. The Seventh International Conference on Knowledge and systems Engineering (KSE 2015), 08-10/10/2015, HCMc, Vietnam, pp.222-227 (In the IEEE-KSE 2015 Proceedings) [21] Anh Vo, Ngoc Quoc Ly. Facial Expression Recognition using Pyramid Local Phase Quantization Descriptor. Springer Proceedings of The Sixth International Conference of Knowledge and Systems Engineering (KSE 2014), Hanoi, Vietnam, October 9th-11th, 2014, Vol. 326, pp. 105-115. [22] Vo Hoai Viet, Ly Quoc Ngoc, Tran Thai Son. Human Action Recognition Using 2DPCA-DMM Representation and GA-SVM in Depth Sequences. The Sixth International Conference on Knowledge and systems Engineering (KSE 2014), 09-11/10/2014, Ha noi, Vietnam, pp.447-458 (In the Springer Proceedings). [23] Pham Thanh Tung, Ly Quoc Ngoc. Elliptical Density Shape Model for Hand Gesture Recognition. The Fifth International Sysmposium on Information and Communication Technology (SoICT 2014), 04-05/12/2014, Ha noi, Vietnam, pp.196-191 (In ACM SoICT 2014 Proceedings). [24] Tran Duy Quang, Ly Quoc Ngoc. Sparse Spatio-Temporal Representation of Joint Shape-Motion Cues for Human Action Recognition in Depth Sequences. The IEEE-RIVF International Conference on Computing and Communication Technologies (RIVF 2013), 10-13/11/2013, Hanoi, Vietnam, pp.253-258 (In the IEEE-RIVF 2013 Proceedings). [25] Tran Duy Quang, Ly Quoc Ngoc. an Effective Fusion Scheme of Spatio-Temporal Features for Human Action Recognition in RBG-D Video. The IEEE International Conference on Control Automation and Information Sciences (ICCAIS 2013), 25-28/11/2013, Nhatrang, Vietnam, pp.246-251 (In the IEEE-ICCAIS 2013 Proceedings). [26] Khoa Dang Dang, Ngoc Quoc Ly, Truong The Nguyen. Some Enhanced Algorithms for Robot Navigation by Omni-directional Cameras. IEEEInternational Conference on Control Automation and Information Sciences (ICCAIS 2012), HCMc, Vietnam, November 26-29, 2012. [27] Buu Long Au, Quoc Ngoc Ly, Hoang Pham Minh. An Indivisualized System for Face Ageing and Facial Expressions based on 3D Practical Faces Data. IEEEInternational Conference on Control Automation and Information Sciences (ICCAIS 2012), HCMc, Vietnam, November 26-29, 2012. [28] Tuan Le Viet, Ngoc Ly Quoc. Human Action Recognition on Simple and Complex Background in Video. IEEEInternational Conference on Control Automation and Information Sciences (ICCAIS 2012), HCMc, Vietnam, November 26-29, 2012. [29] Viet Vo, Ngoc Ly. An Effective Approach for Human Actions Recognition Based on Optical Flow and Edge Features. IEEEInternational Conference on Control Automation and Information Sciences (ICCAIS 2012), HCMc, Vietnam, November 26-29, 2012. [30] Ho Vu Duong, Quoc Ngoc Ly. A Feature Learning Method for Scene Text Recognition. IEEEInternational Symposium on Signal Processing and Information Technology (ISSPIT 2012), HCMc, Vietnam, November 12-15, 2012. [31] Thuy Ho, Ngoc Ly. A Scene Text-Based Image Retrieval System. IEEEInternational Symposium on Signal Processing and Information Technology (ISSPIT 2012), HCMc, Vietnam, November 12-15, 2012. [32] Viet Vo, Ngoc Ly. Robust Human Action Recognition Using Improved BOW and Hybrid Features. IEEEInternational Symposium on Signal Processing and Information Technology (ISSPIT 2012), HCMc, Vietnam, November 12-15, 2012. [33] Hong Hanh Pham Thi, Quoc Ngoc Ly. Multiple Objects Detection on Street Using Hmax Features and Color Clue. IEEEInternational Symposium on Signal Processing and Information Technology (ISSPIT 2012), HCMc, Vietnam, November 12-15, 2012. [34] Dinh Trung Thao, Ly Quoc Ngoc. Tracking Horizontal Moving Text in News Video based on Characteristics of Precision and Recall. IEEE-RIVF International Conference on Computing and Communication Technologies (RIVF 2012), HCMC, Viet Nam, March 2012. Contact: - Assoc.Prof.Dr. Ly Quoc Ngoc - Email: lqngoc@fit.hcmus.edu.vn Decentralized cryptography and blockchain The Decentralized Cryptography Research Group, abbreviated as Decentralized Crypt or DC, is a strong cryptographic research group at the Vietnam National University, Ho Chi Minh City – VNU-HCMC. Decentralized Crypt brings together mathematical and cryptographic researchers working at universities at home and abroad. The Decentralized Crypt's primary goal is to design innovative cryptographic tools and develop cryptographic systems that guarantee practical privacy and post-quantum security. Study topic Random numbers, zero-knowledge, group signatures, verification and privacy-assured data mining, and cryptographic currencies. Member Nguyen Dinh Thuc, VNU-HCMC, team leader Nguyen Ta Toan Khoa, NTU, Singapore, co-leader Dang Hai Van, British Tran Viet Xuan Phuong, Australia Nguyen Tan Trung, VNU-HCMC Nguyen Thanh Binh, VNU-HCMC Tran Ngoc Bao, HCMUE Tran Trung Dung, VNU-HCMC Pham Thi Bach Hue, VNU-HCMC Tran Minh Triet, VNU-HCMC Tran Dinh Long, Hue University of Science Tran Dan Thu, VNU-HCMC Hoang Minh Thang, USA Nguyen Nhu Huan, USA Nguyen Phuong Ha, USA Research Hotspot Security, Department of Science and Technology of Ho Chi Minh City. Ho Chi Minh City, 2011. Design and Installation of Cryptographic IP Cores on FPGA, KC01, 2012. Detective RSA, Department of Science and Technology City. Ho Chi Minh City, 2015. Constant, Cryptocurrency Industry Project, 2019. Scientific article Thang Hoang, Deokjai Choi, and Thuc D. Nguyen, Gait Authentication on Mobile Phone Using Biometric Cryptosystem and Fuzzy Commitment Scheme. IJIS, 2015. Van H. Dang and Thuc D. Nguyen, Construction of Pseudoinverse Matrix over Finite Field and Its Application. Wireless Pers Commum., 2015. Long D. Tran, Thu D. Tran, Deokjai Choi, and Thuc D. Nguyen, RSA-type Algebra Structures, KSII Transaction on Internet and Information Systems, 2016. San Ling, Khoa Nguyen, Adeline Roux-Langlois, Huaxiong Wang, A Lattice-based Group Signature Scheme with Verifier-local Revocation. Theoretical Computer Science, Vol.2, 2018. Benoit Liert, San Ling, Khoa Nguyen, Huaxiong Wang. Lattice-based Zero-knowledge Arguments for Integer Relation, CRYPTO 2018, Springer, 2018. Toan-Thinh Truong, Minh-Triet Tran, Anh-Duc Duong, and Isao Echizen, Provable Identity Based User Authentication Scheme on ECC in Multi-server Environment, Wireless Pers Commum, 2017. Software engineering Software engineering is a multidisciplinary field that deals with all aspects of software development, maintenance, development, and operation. The main goal of CPM is to make these tasks more efficient. The group investigates methods and tools for software development, such as cost estimation (NAFOSTED - sponsored project), intelligent test automation, software verification, and cloud-based software development. The group is interested in applying artificial intelligence, machine learning, and natural language processing to assist in making more accurate and timely decisions in software development. Study topic Software estimation Test automation Software cloud-based services Software engineering education Software Verification and Validation Software design, software architecture, software design patterns Development of desktop, web and mobile enterprise software Cloud computing (multi-tenancy) application development Application of artificial intelligence, machine learning and natural language processing for software development (Applying AI/ML/NLP to address touchtare engineering problems) Member Assoc. Prof. Dr. Nguyen Van Vu Dr. Nguyen Thi Minh Tuyen Dr. Ngo Huy Bien PhD student. Truong Van Thong Research Building an integrated environment on the web to support training, research and project development in software engineering (VNU-HCMC) Software Estimation (NAFOSTED) Hisseo Possible collaborative activities Consulting on software estimation methods, processes, project management, etc. Consulting state agencies to implement smart city projects Propose and evaluate design, architecture and application technology for cloud software systems. Design and realize cloud enterprise software systems and ecosystems (services, desktop, web, mobile, add-ons, 3rd party and legacy systems integration) Design, implement, and evaluate multi-tenant software systems. Links of demo, website, video http://ideol.net/ (currently under maintenance) Scientific publication 1. Vu Nguyen, Thuy Huynh, Barry Boehm, LiGuo Huang, Thong Truong, "Investigating the Use of Duration-based Windows and Estimation by Analogy for COCOMO", Journal of Software: Evolution and Process (In progress) 2. Vu Nguyen, Barry Boehm, and LiGuo Huang. "Determining Relevant Training Data for Effort Estimation Using Window-based COCOMO Calibration." Journal of Systems and Software (2018). 3. Vu Nguyen, Hai H. Dang, Kha N. Do, Thu D. Tran, “Enhancing Team Collaboration through Integrating Social Interactions in a Web-based Development Environment”, Journal of Computer Applications in Engineering Education, 2016. 4. Ye Yang, Lang Xie, Zhimin He, Qi Li, Vu Nguyen, Barry Boehm, Ricardo Valerdi. Measuring and Handling Local Bias for Calibrating Parametric Estimation Models. Journal of Information and Software Technology, 2013. 5. Vu Nguyen, Barry W. Boehm, Phongphan Danphitsanuphan. A Controlled Experiment in Assessing and Estimating Software Maintenance Tasks. Journal of Information and Software Technology. pp. 682-691. 6/2011. 6. Thanh To, Vu Nguyen, “A novel approach to generating resilient and maintainable XPaths for web automated testing”, (in progress) 7. Phu Le, Vu Nguyen, “A k-Nearest Neighbors Approach for COCOMO Calibration”, NICS 2017, Hanoi, Vietnam. 8. Hai H. Dang, Vu Nguyen, Kha N. Do, Thu D. Tran, “EduCo: an Integrated Social Environment for Teaching and Learning Software Engineering Courses,” International Conference on Information Integration and Web-based Applications & Services (iiWAS), 2014. 9. Vu Nguyen, Hai H. Dang, Kha N. Do, Thu D. Tran, “Learning and Practicing Object-Oriented Programming Using a Collaborative Web-based IDE,” Frontiers in Education (FIE), 2014, Madrid, Spain. 10. Ngo Huy Bien and Tran Dan Thu, "Hierarchical Multi-Tenant Pattern" in 2014 International Conference on Computing, Management and Telecommunications (ComManTel), Danang, Vietnam, 2014, pp. 157-164. 11. Ngo Huy Bien and Tran Dan Thu, "Consistent and Secure Transaction System Pattern" in AsianPLoP 2014, Tokyo, Japan. 12. Ngo Huy Bien and Tran Dan Thu, "Multi-Tenant Web Application Framework Architecture Pattern" in 2015 2nd National Foundation for Science and Technology Development Conference on Information and Computer Science (NICS), Ho Chi Minh, Vietnam, 2015, pp. 40-48. 13. Ngo Huy Bien and Tran Dan Thu, "Graphical User Interface Variability Architecture Pattern" in SoICT 2015, Hue, Vietnam, 2015, pp 304-311. 14. Vu Nguyen, Vu Pham, Vu Lam, “qEstimation: A Process for Estimating Size and Effort of Software Testing” International Conference on Software and System Process (ICSSP 2013). San Francisco, USA, 5/2013. 15. Tran, Hai T., Hai H. Dang, Kha N. Do, Thu D. Tran, and Vu Nguyen. "An interactive Web-based IDE towards teaching and learning in programming courses." In Teaching, Assessment and Learning for Engineering (TALE), 2013 IEEE International Conference on, pp. 439-444. IEEE, 2013. 16. Vu Nguyen, LiGou Huang, Barry Boehm. An Analysis of Trends in Productivity and Cost Drivers over Years. 7th International Conference on Predictive Models in Software Engineering (PROMISE 2011). Banff, Canada, 9/2011. 17. Ye Yang, Lang Xie, Zhimin He, Qi Li, Vu Nguyen, Barry Boehm, Ricardo Valerdi. Local Bias and its Impacts on the Performance of Parametric Estimation Models. 7th International Conference on Predictive Models in Software Engineering (PROMISE 2011). Banff, Canada, 9/2011. 18. Vu Nguyen. Improved Size and Effort Estimation Models for Software Maintenance. The Twenty-sixth IEEE International Conference on Software Maintenance (ICSM 2010). Timisoara, Romania, 2010. 19. Thi Minh Tuyen Nguyen and Claude Marché. Hardware-Dependent Proofs of Numerical Programs. International conference on Certified Programs and Proofs. LNCS. December 2011, Taiwan. 20. T. M. T. Nguyen and C. Marché. Proving floating-point numerical programs by analysis of their assembly code. Research Report 7655, INRIA, 2011, http://hal.inria.fr/inria-00602266/en/. 21. Sylvie Boldo and Thi Minh Tuyen Nguyen. Proofs of numerical programs when the compiler optimizes. Innovations in Systems and Software Engineering, 7:151-160, June 2011. 22. Sylvie Boldo and Thi Minh Tuyen Nguyen. Hardware-independent proofs of numerical programs. In Proceedings of the Second NASA Formal Methods Symposium, NASA Conference Publication, Washington D.C., USA, April 2010. 23. Vu Nguyen, Barry W. Boehm, Phongphan Danphitsanuphan. Assessing and Estimating Corrective, Enhancive, and Reductive Maintenance Tasks: A Controlled Experiment. Proceedings of Asia-Pacific Software Engineering Conference (APSEC 2009). Penang, Malaysia, 2009. 24. Vu Nguyen, Bert Steece, Barry W. Boehm. A Constrained Regression Technique for COCOMO Calibration. The Second ACM-IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM). Kaiserslautern, Germany, 2008. 25. Thi Minh Tuyen Nguyen and Mathias Rossignol. ADRPhone, A Lightweight Standalone Phonetizer for Vietnamese and its Dialects. Oriental COCOSDA, Hanoi, Vietnam, December 2007. Smart Services The fourth industrial revolution fundamentally changes the way businesses do business. They need to innovate to create a unique and specialized competitive advantage. Intelligent services are capable of self-discovery and self-adaptation to user needs without knowing the requirements explicitly. The adoption of intelligent services in today's businesses enables them to accelerate their digital transformation. This allows creating a huge array of user information as well as deepening the competition between organizations. Many businesses have opted for a user-driven strategy by building relationships with users to support them personally. A lot of user data is collected and stored for this purpose. Artificial Intelligence and data analytics have become mainstream in helping businesses understand users, capture and manage information about users better. This data is then used to enable systems to deliver smarter, adaptive, and personalized services based on the knowledge and context of user information. Study topic Intelligent services is a multidisciplinary field of study that may include some of the following topics: Smart services for Business (business analytics, business intelligent, marketing intelligence, market intelligence, customer intelligence, content intelligence) Smart services for Education Context-aware system, personalization Adaptive information system User context in knowledge-intensive smart services. Recommender systems Enabling smart services with knowledge management. Internet of things, Mobile Database, Location based Services, Artificial Intelligent based on Modern Information Systems. Member Dr. Pham Nguyen Cuong Dr. Nguyen Tran Minh Thu Assoc.Prof.Dr. Le Nguyen Hoai Nam Dr. Vu Thi My Hang Dr. Ho Le Kim Nhung MSc. Tiet Gia Hong MSc. Pham Minh Tu MSc. Ho Thi Hoang Vy Possible collaborative activities Prof.Dr. Le Dinh Thang, Université du Québec à Trois-Rivières Québec, Canada. Dr. Pham Thi Thanh Thoa, Dublin Institute of Technology-DIT, Ireland. Links of demo, website, video Product link: ITCareerbot: https://bit.ly/it-career-bot, course counseling system: https://github.com/ptxhien/Master, customer journey master CJMA: https://github.com/cnam0203/CJX Demo link: Adobot (https://bit.ly/2BW0LDT). course counseling system (https://services.fit.hcmus.edu.vn:250/#/) Contact: pncuong@fit.hcmus.edu.vn Some scientific publications 1. Thi My Hang Vu, Thanh Thoa Pham Thi, Thang Le Dinh (2023). Towards a Rule Modeling Framework for Context-aware Smart Service Systems. ITM Web of Conferences , 04005. https://doi.org/10.1051/itmconf/20235104005. 2. Thi My Hang Vu, Thang Le Dinh, Nguyen Anh Khoa Dam, Cuong Pham-Nguyen (2023). Context-aware Knowledge-based Systems: A Literature Review. Proceedings of the 56th Hawaii International Conference on System Sciences HICSS 2023. 3. Nguyen Duy Cuong, Dinh Nguyen Hanh Dung, Pham-Nguyen Cuong, Le Dinh Thang, Le Nguyen Hoai Nam (2022). ITCareerBot: A Personalized Career Counselling Chatbot. Recent Challenges in Intelligent Information and Database Systems. ACIIDS 2022. Communications in Computer and Information Science, vol 1716. 4. Thang Le Dinh, Nguyen Anh Khoa Dam, Chan Nam Nguyen, Thi My Hang Vu, and Pham-Nguyen Cuong (2022). From Customer Data to Smart Customer Data: The Smart Data Transformation Process. International Conference on Exploring Service Science (IMT Web conference 2022- IESS 2.2) 5. Nam Nguyen Chan, Duc Loc Nguyen Vo, Cuong Pham-Nguyen, Thang Le Dinh, Nguyen Anh Khoa Dam, Thanh Thoa Pham Thi, My Hang Vu Thi. Design and deployment of a customer journey management system: the CJMA approach. MaDaIN 2021: The 2nd International Conference on Recent Advances in Machine Learning, Data Science, Intelligent Systems & Networking. December 15-15, 2021. Da Nang, Vietnam. 6. Thang Le Dinh, Thoa Pham Thi, Cuong Pham-Nguyen, Nam Le Nguyen Hoai. A Knowledge-based Model for Context-Aware Smart Service Systems. Journal of Information and Telecommunication (JIT) (2021). Taylor & Francis. https://doi.org/10.1080/24751839.2021.1962105 7. Pham Quynh Thi, Ho Thi Diep, Nguyen Dinh Thao, Cuong Pham-Nguyen, Thang Le Dinh, Le Nguyen Hoai Nam. Towards An Ontology-Based Knowledge Base for Job Postings. 2020 7th NAFOSTED Conference on Information and Computer Science (NICS). VNUHCM-University of Science, Vietnam. November 26-27. 2020. 8. Thang Le Dinh, Thanh Thoa Pham Thi, Cuong Pham-Nguyen, Nguyen Hoai Nam Le. Towards A Context-Aware Knowledge Model for Smart Service Systems. 2020 12th International Conference on Computational Collective Intelligence (ICCCI). 30 November - 3 December 2020. Da Nang, Vietnam. Lecture Notes in Computer Science, vol 12496. Springer, Cham. 9. Tran Hien Luong, Tran Thi Ly Ly, Pham-Nguyen Cuong, Le Dinh Thang, Tiet Gia Hong and Le Nguyen Hoai Nam (2020), Towards Chatbot-based Interactive What- and How-Question Answering Systems: the Adobot Approach. 2020 RIVF International Conference on Computing and Communication Technologies (RIVF), 2020, pp. 1-3, doi: 10.1109/RIVF48685.2020.9140742. 10. Ho Thao Hien, Pham-Nguyen Cuong, Le Nguyen Hoai Nam, Ho Le Thi Kim Nhung and Le Dinh Thang, (2018). Intelligent Assistants in Higher-Education Environments: The FIT-EBot, a Chatbot for Administrative and Learning Support. In SoICT’ 18: Ninth International Symposium on Information and Communication Technology, December 6–7, 2018, Da Nang City, Viet Nam. 11. Thu Tran Minh Nguyen, Ngoc Vu, and Binh Ly (2022), An approach to constructing a graph data repository for course recommendation based on IT career goals in the context of big data, 2022 IEEE International Conference on Big Data (IEEE BigData 2022), December 17-20, 2022 Osaka, Japan. IEEE Catalog Number: CFP22BGD-ART, ISBN: 978-1-6654-8045-1, pp. 301-308. DOI: 10.1109/BigData55660.2022.10020436 12. Thu Tran Minh Nguyen, Thinh Pham Quoc Tran (2021), A knowledge graph embedding based approach for learning path recommendation for career goals. The 13th International Conference on Computational Collective Intelligence (ICCCI 2021), 29 September – 1 October 2021, Rhodes, Greece. Lecture Notes in Computer Science, vol 12876. Springer, Cham. Print ISBN: 978-3-030-88080-4, Online ISBN: 978-3-030-88081-1, DOI: https://doi.org/10.1007/978-3-030-88081-1_6 13. Le Nguyen Hoai Nam (2021). Latent factor recommendation models for integrating explicit and implicit preferences in a multi-step decision-making process. Expert Systems with Applications, 174. 14. Le Nguyen Hoai Nam (2021). Towards comprehensive profile aggregation methods for group recommendation based on the latent factor model. Expert Systems with Applications, 185. 16. Le Nguyen Hoai Nam (2022). Profile aggregation-based group recommender systems: Moving from item preference profiles to deep profiles. IEEE Access. 10. 17. Le Nguyen Hoai Nam (2022). Incorporating textual reviews in the learning of latent factors for recommender systems. Electronic Commerce Research and Applications, 52. 18. Le Nguyen Hoai Nam (2022). Towards comprehensive approaches for the rating prediction phase in memory-based collaborative filtering recommender systems. Information Sciences, 589. 19. Le Nguyen Hoai Nam, Ho Bao Quoc (2017). The hybrid filter feature selection methods for improving high-dimensional text categorization. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 25(02), 235-265. 20. Ho Le Thi Kim Nhung, Vo Van Hai, and Roman Jasek, “Towards a Correction Factors-based Software Productivity using Ensemble approach for Early Software Development Effort Estimation,” Computer Science Online Conference, Advances in Intelligent Systems and Computing, 2022. 21. Ho Le Thi Kim Nhung, Vo Van Hai, Radek Silhavy, and Zdenka Prokopova, Petr Silhavy, "Parametric Software Effort Estimation Based On Optimizing Correction Factors and Multiple Linear Regression", IEEE Access, vol. 10, 2021. Multimedia Forensics and Security Multimedia Forensics and Security (MFS) research group focuses on issues of multimedia security and forensics. The team aims to protect human from malicious media synthesized by artificial intelligence (AI). We also study good and useful applications of AI-based synthetic media. Website https://sites.google.com/view/ltnghia/research Research topics of interest Multimedia forensics Multimedia security AI-generated media Medical imaging Applied deep learning and computer vision Virtual/Mixed/Augmented Reality and Human-Computer Interaction Human Advisers Prof. Isao Echizen, National Institute of Informatics, Japan Prof. Akihiro Sugimoto, National Institute of Informatics, Japan Assoc. Prof. Tam V. Nguyen, University of Dayton, U.S.A Assoc. Prof. Tran Minh Triet, University of Science, VNU-HCMC, Vietnam Members Dr. Le Trung Nghia (Leader) Hoang Trong Vu Nguyen Quang Binh Affiliate members Dr. Nguyen Hong Huy, National Institute of Informatics, Japan Typical research projects 1. Developing a Natural Communication Solution with Deaf/Mute Individuals Using Natural and Visual Languages Project is supported by University of Science, VNU-HCMC (2022) 2. Prevention from Automated Analysis Services with Object-Level Adversarial Examples Project is supported by Japan Society for the Promotion of Science (JSPS), KAKENHI Grant (JP21K18023), Japan (2021-2022) 3. Facial Privacy and Forensic in The Wild: Explainable End-to-End Networks for Multi-Face Anonymization and Multi-Face Forgery Detection Project is supported by Japan Society for the Promotion of Science (JSPS), KAKENHI Grant (JP20K23355), Japan (2020-2021-2022) Awarded Telecommunications Advancement Foundation Award (Telecom Interdisciplinary Research Award), 2023 (第38回電気通信普及財団賞（テレコム学際研究賞）特例表) Video Instance Segmentation Rank 3rd in DAVIS 2017 (DAVIS: Densely Annotated VIdeo Segmentation), CVPR 2017 (2017 Conference on Computer Vision and Pattern Recognition), 21-26/07/2017, Hawaii, U.S.A. Rank 6th in DAVIS 2018 (DAVIS: Densely Annotated VIdeo Segmentation), CVPR 2018 (2018 Conference on Computer Vision and Pattern Recognition), 18-22/06/2018, Salt Lake City, Utah, U.S.A. Rank 3rd in DAVIS 2019 (DAVIS: Densely Annotated VIdeo Segmentation), CVPR 2019 (2019 Conference on Computer Vision and Pattern Recognition), 16-20/06/2019, Long Beach, California, U.S.A. Rank 4th in DAVIS 2020 (DAVIS: Densely Annotated VIdeo Segmentation), CVPR 2020 (2020 Conference on Computer Vision and Pattern Recognition), 14-19/06/2020, Virtual Conference. Traffic Analysis 5th place in AI City Challenge (Track 4), CVPR 2020 (2020 Conference on Computer Vision and Pattern Recognition), 14-19/06/2020, Virtual Conference. 10th place in AI City Challenge (Track 1), CVPR 2020 (2020 Conference on Computer Vision and Pattern Recognition), 14-19/06/2020, Virtual Conference. 8th place in AI City Challenge (Track 3), CVPR 2019 (2019 Conference on Computer Vision and Pattern Recognition), 16-20/06/2019, Long Beach, California, U.S.A. Publication https://sites.google.com/view/ltnghia/publication Multi-modal Machine Comprehension Multi-modal Machine Comprehension (MMC Group), abbreviated as MMC Group, is a research group focusing on multimodal information mining and processing problems. MMC Group brings together researchers from various fields in Computer Science such as Natural Language Processing, Audio Processing, and Image Processing from home and abroad, as well as from local and international researchers. in industry. The main goal of the group is to develop multimodal processing systems to solve today's common problems. Research topics Modeling multimodal knowledge such as images, text, sound, .... Predictive model based on multimodal data: text, image, sound,.... Explainable AI model Members Dr. Nguyen Tien Huy (Team Leader) - The Faculty of Information Technology, University of Science, Ho Chi Minh City. Dr. Le Thanh Tung - The Faculty of Information Technology, University of Science, Ho Chi Minh City. Assoc.Prof.Dr. Nguyen Le Minh - JAIST, Japan Dr. Pho Ngoc Dang Khoa - Trusting Social MSc. Nguyen Tran Duy Minh - The Faculty of Information Technology, University of Science, Ho Chi Minh City. BSc. Nguyen Duc Anh - The Faculty of Information Technology, University of Science, Ho Chi Minh City. Typical research projects Visual language model with few objects for classifying image questions for the blind (Study at University of Science: Sep 2021) Predicting the ability to answer image questions for visually impaired people using Residual Attention model (Study at University of Science: Mar 2022) Scientific publication 1. Tung Le, Huy Tien Nguyen, and Minh Le Nguyen. 2021. “Multi Visual and Textual Embedding on Visual Question Answering for Blind People.” Neurocomputing 465:451–64. doi: https://doi.org/10.1016/j.neucom.2021.08.117. 2. Tung Le, Khoa Pho, Thong Bui, Huy Tien Nguyen, and Minh Le Nguyen. 2022. “Object-Less Vision-Language Model on Visual Question Classification for Blind People.” Pp. 180–187 in Proceedings of the 14th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART, SciTePress. 3. Duy-Minh Nguyen-Tran, Tung Le, Minh Le Nguyen and Huy Tien Nguyen, 2022. “Bi-directional Cross-Attention Network on Vietnamese Visual Question Answering”, in Proceedings of the 36th Pacific Asia Conference on Language, Information and Computation (PACLIC). 4. Duy-Minh Nguyen-Tran, T. Le, K. Pho, M. Le. Nguyen, and Huy Tien Nguyen, 2022, “RVT-Transformer: Residual Attention in Answerability Prediction on Visual Question Answering for Blind People”, In Proceedings of the 14th International Conference on Computational Collective Intelligence (ICCCI). 5. Anh Duc Nguyen, Tung Le, and Huy Tien Nguyen, 2022. “Combining Multi-vision Embedding in Contextual Attention for Vietnamese Visual Question Answering”, in Pacific-Rim Symposium on Image and Video Technology (PSIVT)Tung Le, Huy Tien Nguyen, and Minh Le Nguyen. 2021. “Vision And Text Transformer For Predicting Answerability On Visual Question Answering.” Pp. 934–138 in 2021 IEEE International Conference on Image Processing (ICIP). 6. Tung Le, Thong Bui, Huy Tien Nguyen, and Minh Le Nguyen. 2021. “Bi-Direction Co-Attention Network on Visual Question Answering for Blind People.” Pp. 335–442 in Fourteenth International Conference on Machine Vision (ICMV 2021). Vol. 12084. Human-Computer Interaction and User Experience The human-computer interaction and user-experience design (HCI & UXD) research group was established in the end of 2022 with a strong focus on conducting research on novel computing interfaces to empower humans’ capability in their interaction with computers. We are a multi-disciplinary group driven by the ambition of connecting various expertises such as human-computer interaction, user-experience design, computer vision, machine learning, signal processing, software engineering, game development, psychological and behavioral science, etc. both from academia and industry to provide user-centered solutions to tackle challenging user interaction and experience issues. Our goal is to design and develop novel interfaces, interaction methods and enabling interactive technologies to enhance or improve humans’ interaction with different computing systems. In addition to that, we also combine user-centered design with cutting-edge technologies to design creative solutions to improve users’ efficiency and experience in their particular context. The group’s mission is two-fold. First, we continuously conduct impactful academic research with publications at leading HCI-relevant venues to contribute to the scientific community. Second, we strive to disseminate our research results to the society through knowledge-transfer collaborations with industrial partners as well as governmental agencies. Research topics Computer Supported Collaborative Works Virtual reality/Augmented Reality/Mixed reality) Interactive surfaces/spaces Mobile interaction Interactive systems for training Interaction design Interactive entertainment systems Creativity support Tangible interaction Assistive Systems Personnels Advisors: Prof. Morten Fjeld (University of Bergen, Norway - Advisor) Prof. Shengdong Zhao (National University of Singapore, Singapore - Advisor) Prof. Andreas Kunz (ETH Zurich, Switzerland - Advisor) Prof. Nguyen Van Tam (University of Dayton, USA - Advisor) Prof. Kening Zhu (City University of Hong Kong, Hong Kong - Advisor) Group members: Dr. Le Khanh Duy (Group leader) Assoc. Prof. Tran Minh Triet Dr. Le Trung Nghia MSc. Tran Ngoc Dat Thanh (Research assistant) BSc. Huynh Viet Tham (Research associate) BSc. Ly Duy Nam (Research associate) Student Nguyen Hoang Long (intern) Student Le Quang Tri (intern) Collaborators: Dr. Nguyen Vinh Tiep (VNUHCM-UIT) Dr. Vi Chi Thanh (VNUHCM-IU) Dr. Tran Quang Tanh (Otago University, New Zealand) Projects HybridMingling: Designing and developing a virtual-augmented reality solution to support mingling at hybrid conferences and events (2022) Research funded by Vietnam National University Ho Chi Minh City - University of Science GrandAR Piano: Combining augmented reality and large display interaction for virtual piano playing (2022) Applied design project in collaboration between SELab, VNUHCM-US and UEH University Kids’ Piano: Piano-playing game combining augmented reality and large display interaction for AEON Mall Tân Phú (2022) Knowledge-transfer project developing a public game for kids based on GrandAR Piano for AEON Mall Tan Phu (a large Japanese commercial complex in Vietnam), a collaborative work between SELab, UEH University and Gumi Viet (agency working with AEON Mall) Publications: HybridMingler: Towards Mixed-Reality Support for Mingling at Hybrid Conferences (CHI 2023) 360TourGuiding: Towards Virtual Reality Training for Tour Guiding (MobileHCI 2022) Public Speaking Simulator with Speech and Audience Feedback (IEEE VR 2022) VXSlate: Exploring combination of head movements and mobile touch for large virtual display interaction (IEEE DIS 2021) VXSlate: Combining Head Movement and Mobile Touch for Large Virtual Display Interaction (IEEE VR 2021) DigiMetaplan: supporting facilitated brainstorming for distributed business teams (ACM MUM 2019) DigiMetaplan: supporting facilitated brainstorming for distributed business teams (ACM MUM 2019) GazeLens: Guiding Attention to Improve Gaze Interpretation in Hub-Satellite Collaboration (IFIP INTERACT 2019) MirrorTablet: exploring a low-cost mobile system for capturing unmediated hand gestures in remote collaboration (ACM MUM 2017) Immersive environment for distributed creative collaboration (ACM VRST 2017) NowAndThen: a social network-based photo recommendation tool supporting reminiscence (ACM MUM 2016)
©2006-2026 Faculty of Information Technology - HCMC University of Science Room I53, Building I, 227 Nguyen Van Cu Street, Cho Quan Ward, Ho Chi Minh City Tel.: (028) 6288 4499 (EXT: 4000)