Lecturer at UEH Campus Vinh Long, Vietnam
Mr. Duy-Dong Le is a dedicated academic and researcher in the field of Computer Science, currently serving as a faculty member at UEH University, Vietnam. He is affiliated with the Vinh Long Campus, where he teaches subjects such as Data Structures and Algorithms, Web Programming, Data Science, and IT for Business. His work bridges teaching, research, and community engagement. Over the years, he has led multiple research projects in deep learning, artificial intelligence, and federated learning with applications in public health, agriculture, and environmental monitoring. Beyond academic duties, Mr. Le plays a significant leadership role as head of the Association for Information Processing and as the leader of an AI research team. He is also an active organizer of educational and community development initiatives in the Mekong Delta. His scholarly contributions and civic involvement highlight his commitment to advancing both research and societal well-being through technology and education.
Professional Profile
Education🎓
Mr. Duy-Dong Le began his academic journey at Vinh Long Technical and Teacher Training College, where he completed his undergraduate studies. He went on to earn a master’s degree in Computer Science from the University of Information Technology under Vietnam National University, Ho Chi Minh City. During his postgraduate studies, he developed expertise in deep learning, particularly focusing on the application of the Standard Adaptive Model (SAM) for predicting test performance. His thesis work in this domain was later published in conference proceedings and academic journals. Currently, he is pursuing his doctoral studies at the Industry University of Ho Chi Minh City, with a focus on advanced applications of artificial intelligence in areas such as federated learning and data-driven decision-making. His academic path reflects a consistent dedication to learning and advancing knowledge in computer science, while also integrating his research work with practical, community-centered challenges in education, healthcare, and environmental sustainability.
Professional Experience📝
Mr. Le currently holds a teaching and research position at UEH University’s Vinh Long Campus, where he has been actively involved in academic and institutional development. In his professional capacity, he teaches various undergraduate courses in computer science and information technology. His experience spans not only classroom instruction but also academic mentorship, project supervision, and curriculum development. Mr. Le leads the campus AI research team and serves as the head of the Association for Information Processing. He also contributes significantly to organizing events, contests, and workshops aimed at digital transformation, sustainable development, and community learning. His efforts have led to the successful execution of initiatives like the UEH Global Project, which provides free educational infrastructure to teachers and students across the Mekong Delta. His professional journey is marked by a unique combination of educational excellence, technical leadership, and service to the community, reflecting his multifaceted role as a teacher, researcher, and innovator.
Research Interest🔎
Mr. Duy-Dong Le’s research interests lie primarily in the fields of artificial intelligence, deep learning, and federated learning, with a strong focus on solving practical problems in education, agriculture, public health, and environmental sustainability. He has conducted research projects applying AI to predict agricultural prices, forecast COVID-19 transmission rates, and analyze air quality using collaborative machine learning models. He is particularly interested in the intersection of AI and social impact, often designing systems tailored for regional needs in Vietnam, especially within the Mekong Delta. His current studies involve exploring privacy-preserving learning techniques, such as federated learning, to handle distributed data more securely. Mr. Le’s research portfolio is further enhanced by interdisciplinary collaborations and a commitment to community-focused technology deployment. His work reflects a vision of using data science not just for theoretical exploration but as a practical tool for societal transformation and decision-making in both urban and rural contexts.
Award and Honor🏆
Mr. Duy-Dong Le has earned recognition for both his academic contributions and community engagement. His research work has been presented at various national and international conferences, including the FAIR and FDSE conferences, and published in prestigious outlets such as Springer and the MDPI Algorithms Journal. He has played a key role in several provincial and institutional research projects that have received acknowledgment for their innovation and practical relevance. Additionally, his leadership in educational outreach—especially the UEH Global Project—has been commended for supporting thousands of students and educators during the COVID-19 pandemic through free access to online learning platforms and digital tools. As an organizer and presenter of workshops and STEM events, he has significantly contributed to raising awareness about digital transformation and sustainable development in the region. His honors reflect not only his scholarly impact but also his sustained efforts to bridge academia with real-world community needs.
Research Skill🔬
Mr. Le possesses a strong set of research skills that span programming, data modeling, and applied machine learning. He is proficient in programming languages such as Python, PHP, and Java, and commonly uses platforms like Google Colab for deploying deep learning models using TensorFlow. His technical expertise includes predictive modeling, algorithm development, and system integration for real-world applications. In his recent projects, he has implemented AI-based frameworks for public health forecasting and federated learning systems for environmental monitoring. He is also skilled in preparing research manuscripts, presenting at conferences, and collaborating with both local and international research partners. His ability to connect theoretical models with practical solutions showcases a balanced research profile. Moreover, his experience in organizing and translating for academic events has strengthened his communication and cross-functional skills. Collectively, Mr. Le’s research abilities position him as a capable and innovative scholar committed to advancing knowledge and addressing real-life challenges through technology.
Conclusion💡
Mr. Duy-Dong Le is highly deserving of the Best Researcher Award due to his consistent and impactful contributions to applied computer science and artificial intelligence, particularly in addressing region-specific challenges in agriculture, health, and education. His research has not only led to peer-reviewed publications in respected journals and conferences but also translated into tangible benefits for local communities, such as predictive systems for crop pricing and pandemic modeling. Beyond academia, his leadership in organizing educational outreach, promoting STEM initiatives, and supporting digital access in underserved areas highlights his deep commitment to societal advancement. With ongoing doctoral studies and an expanding research portfolio, Mr. Le demonstrates strong potential to become a leading academic and thought leader in his field, both nationally and internationally.
Publications Top Noted✍
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Title: Further Evaluation of Prompting Tactics for Establishing Intraverbal Responding in Children with Autism
Authors: ET Ingvarsson, DD Le
Year: 2011
Citations: 77
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Title: Insights into Multi-Model Federated Learning: An Advanced Approach for Air Quality Index Forecasting
Authors: DD Le, AK Tran, MS Dao, KC Nguyen-Ly, HS Le, XD Nguyen-Thi, …
Year: 2022
Citations: 25
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Title: Leverage Boosting and Transformer on Text-Image Matching for Cheap Fakes Detection
Authors: TV La, MS Dao, DD Le, KP Thai, QH Nguyen, TK Phan-Thi
Year: 2022
Citations: 11
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Title: Proposed Distance and Entropy Measures of Picture Fuzzy Sets in Decision Support Systems
Authors: H Van Pham, KP Thai, QH Nguyen, DD Le, TT Le, TXD Nguyen, …
Year: 2023
Citations: 9
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Title: Federated Learning in Smart Agriculture: An Overview
Authors: DD Le, MS Dao, AK Tran, TB Nguyen, HG Le-Thi
Year: 2023
Citations: 8
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Title: Federated Learning for Air Quality Index Prediction: An Overview
Authors: DD Le, AK Tran, MS Dao, MSH Nazmudeen, VT Mai, NH Su
Year: 2022
Citations: 5
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Title: Modeling Transmission Rate of COVID-19 in Regional Countries to Forecast Newly Infected Cases in a Nation by the Deep Learning Method
Authors: LD Dong, VT Nguyen, DT Le, MV Tiep, VT Hien, PP Huy, PT Hieu
Year: 2021
Citations: 5
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Title: Training Performance Indications for Amateur Athletes Based on Nutrition and Activity Lifelogs
Authors: PT Nguyen, MS Dao, MA Riegler, RU Kiran, TT Dang, DD Le, …
Year: 2023
Citations: 4
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Title: CrossHeteroFL: Cross-Stratified Sampling Composition-Fitting to Federated Learning for Heterogeneous Clients
Authors: VP Tinh, HH Son, DNM Dang, NH Nam, DD Le, TB Nguyen, TQ Pham, …
Year: 2024
Citations: 2
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Title: Joint Federated Learning Using Deep Segmentation and the Gaussian Mixture Model for Breast Cancer Tumors
Authors: PD Lam, VP Tinh, DD Le, NH Nam, TA Khoa
Year: 2024
Citations: 2
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Title: Violence Detection in Videos Based on CNN Feature for ConvLSTM2D
Authors: TD Trinh, TS Vu-Ngoc, LT Le-Nhi, DD Le, TB Nguyen, TB Pham
Year: 2024
Citations: 2
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Title: A Survey of Model Compression and Its Feedback Mechanism in Federated Learning
Authors: DD Le, AK Tran, TB Pham, TN Huynh
Year: 2024
Citations: 2
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Title: Correlation-Based Weighted Federated Learning with Multimodal Sensing and Knowledge Distillation: An Application on a Real-World Benchmark Dataset
Authors: DD Le, DT Huynh, PT Bao
Year: 2025
Citations: 1
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Title: A Novel Solution for Energy-Saving and Lifetime-Maximizing of LoRa Wireless Mesh Networks
Authors: HH Son, VP Tinh, DNM Dang, BT Duyen, DD Le, TT Dang, QH Nguyen, …
Year: 2024
Citations: 1
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Title: Latency-Aware Split Learning Optimization via Genetic Algorithms
Authors: LH Trung, TY Nguyen, DD Le, TT Dang, TA Khoa
Year: 2025
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Title: FedNolowe: A Normalized Loss-Based Weighted Aggregation Strategy for Robust Federated Learning in Heterogeneous Environments
Authors: DD Le, N Huynh-Tuong, AK Tran, MS Dao, PT Bao
Year: 2025
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Title: SMixSL: The Smashed-Mixture Technique for Split Learning with Localizable Features
Authors: VP Tinh, TA Khoa, PD Lam, NH Nam, DNM Dang, DD Le, TT Dang, …
Year: 2025
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Title: Factors Affecting the Adoption of Information Technology in Medium and Small Enterprises: A Case Study in Mekong Delta, Vietnam
Authors: TL Nguyen-Thi, DD Le, KC Nguyen-Ly, TT Nguyen, MSH Nazmudeen
Year: 2024