Trang Pham Thi | Mobile Networks | Best Researcher Award

Dr. Trang Pham Thi | Mobile Networks | Best Researcher Award

University in Maastricht | Netherlands

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Early Academic Pursuits

Dr. Trang Pham Thi began her academic journey with a strong foundation in International Economic Relations at Vietnam National University – Ho Chi Minh City, where she developed a deep interest in economic systems and global market dynamics. She further advanced her expertise through a Master’s degree in International Political Economy at Nanyang Technological University, Singapore, where she gained interdisciplinary exposure to political economy, trade policy, and development strategies. Her pursuit of knowledge culminated in a Ph.D. in Innovation, Economics, Governance, and Sustainable Development from the United Nations University – Maastricht Economic and Social Research Institute on Innovation and Technology (UNU-MERIT), where she specialized in policies and pathways for sustainable development in the digital era.

Professional Endeavors

Dr. Trang’s professional trajectory reflects a blend of academic, research, and applied economic expertise. She currently serves as a Lecturer at the VN-UK Institute for Research and Executive Education, University of Danang, where she develops research groups, trains future researchers, and teaches business research methods. Her academic experience spans teaching regression analysis, evidence-based policy research, and public policy at UNU-MERIT, alongside evaluating MSc theses and reviewing research proposals. Her diverse professional background also includes diplomatic work with the Consulate of the Republic of Indonesia, project management in educational technology startups, security risk analysis with International SOS, and content development for international institutions.

Contributions and Research Focus

Dr. Trang’s research focuses on digital transformation and sustainable development, particularly in relation to development economics, innovation economics, inequality, and the international political economy. She employs interdisciplinary methodologies including quantitative data analysis, econometrics, impact evaluation, mixed methods, and geospatial analysis, supported by advanced software proficiency in Stata, QGIS, R, and more. Her notable contributions include studies on the impact of mobile internet on household income, gender employment in creative sectors, education attainment, and mental health outcomes in developing economies. She has actively presented her work at globally recognized platforms, including the World Bank, Asian Development Bank, WIPO, and INET.

Impact and Influence

Through her international research engagements in Europe, Asia, and Latin America, Dr. Trang has influenced policy-oriented economic research and contributed to knowledge exchange between academia, policymakers, and development agencies. Her work has informed discussions on digital inclusion, inequality, and innovation policy, and her role in global conferences has positioned her as a thought leader in sustainable digital economy research. As a mentor, she has guided emerging scholars in research methods, grant writing, and publication strategies, fostering academic capacity building in Vietnam and beyond.

Academic Citations and Recognition

Dr. Trang’s academic outputs, presented at high-impact conferences and workshops, contribute to the global discourse on economic inequality and digital transformation. She has been funded by prestigious organizations such as the European Commission’s MSCA, World Bank, British Academy, WIPO, ADB, and INET, reflecting strong peer recognition of her research relevance and quality. Her collaborations with leading international think tanks, including UNU-WIDER and CINPE, further attest to her scholarly standing.

Legacy and Future Contributions

Dr. Trang is set to build a legacy as a bridge between research and real-world policy impact, particularly in the context of the digital economy’s role in sustainable development. Her future work will likely expand into network analysis, complexity economics, and smart specialization strategies for emerging economies. With her strong academic network and experience in both research and applied policy environments, she is poised to mentor the next generation of economists and continue shaping inclusive development policies.

Conclusion

Dr. Trang Pham Thi’s career reflects an exceptional combination of academic rigor, interdisciplinary research expertise, and global engagement. From her early education in international economic relations to her current leadership in research and teaching, she has consistently contributed to advancing knowledge on sustainable development in the digital age. Her impactful publications, policy engagements, and mentorship demonstrate her commitment to driving equitable and innovative economic growth worldwide, marking her as a highly influential academic and development economist.

Notable Publications

"3G Internet Diffusion and Secondary Education Attainment: Evidence of Opportunity Cost in Vietnam

  • Author: Trang Thi Pham; Bernardo Caldarola
  • Journal: Review of Development Economics
  • Year: 2025

"Mobile Internet and Income Improvement: Evidence from Viet Nam

  • Author: TRANG THI PHAM
  • Journal: Asian Development Review
  • Year: 2025

"Internet Access and Youth’s Mental Health and Well-being: Evidence from Ethiopia

  • Author: Trang Pham-Thi; Pui-hang Wong
  • Journal: Maastricht Economic and social Research institute on Innovation and Technology
  • Year: 2025

"Mobile Internet and income improvement: Evidence from Viet Nam

  • Author: Trang Thi Pham
  • Journal: WIDER Working Paper
  • Year: 2023

"Digital Access, Usage, and Educational Outcomes: Evidence from Vietnam

  • Author: Trang Thi Pham
  • Journal: Conference paper
  • Year: 2023

 

Sukumar Letchmunan | Computer Science | Best Researcher Award

Dr. Sukumar Letchmunan | Computer Science | Best Researcher Award

Senior Lecturer at University Sains Malaysia, Malaysia

Dr. Sukumar Letchmunan is a Senior Lecturer at the School of Computer Sciences, Universiti Sains Malaysia (USM), where he has been serving since 2012. He holds a PhD in Computer Science from the University of Strathclyde, UK, with a focus on pragmatic cost estimation for web applications. Dr. Sukumar has over two decades of academic and research experience, previously serving as a lecturer at Wawasan Open University, Cybernetics College of Technology, and a part-time lecturer at Universiti Putra Malaysia. His career spans teaching, curriculum development, research supervision, and leading national research grants. He is passionate about software engineering, agile project management, and integrating machine learning into practical computing applications.

🔹Professional Profile:

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🎓Education Background

  • PhD in Computer Science
    University of Strathclyde, UK
    (Thesis: Pragmatic Cost Estimation for Web Applications) – 2013

  • Master in Computer Science (Software Engineering)
    University Putra Malaysia – CGPA 3.479

  • Bachelor in Computer Science (Computer System)
    University Putra Malaysia – CGPA 3.678

  • Diploma in Computer Science
    University Putra Malaysia – CGPA 3.4

💼 Professional Development

Senior Lecturer
School of Computer Sciences, Universiti Sains Malaysia (USM) | Nov 2012 – Present

  1. Programme Manager for Bachelor in Software Engineering

  2. Lectures courses: Research Methodology, Software Quality, Software Testing, Discrete Structures, Software Requirement Engineering

  3. Supervised 2 PhD and 8 Master students to graduation

  4. Secured national research grants (e.g., FRGS) totaling over RM 400,000

  5. Awarded “Employee of the Year 2022”

  6. Served as Industrial Fellow under CEO@Faculty programme

Lecturer
Wawasan Open University (WOU) | Aug 2005 – Dec 2007

  1. Developed and authored teaching modules

  2. Published adapted academic book on Microsoft Office 2003

Lecturer
Cybernetics College of Technology (CICT) | May 2001 – Aug 2005

  1. Coordinated diploma programs and supported student recruitment

  2. Named “Best Lecturer” for three consecutive years (2002–2004)

Part-time Lecturer
Universiti Putra Malaysia (UPM) | Jun 2003 – May 2005

  1. Taught core courses including Java Programming

🔬Research Focus

  • Software Engineering and Metrics for Web Applications

  • Agile Project Management & Software Cost Estimation

  • Machine Learning Applications in Software Systems

  • Energy-Efficient Software Design

  • Emotion Modeling for Intelligent Interfaces

  • Crime Hotspot Prediction Using Data Mining and Forecasting Techniques

📈Author Metrics:

  • Prolific Publisher: Over 20 peer-reviewed journal papers between 2020–2022 in journals such as Mathematics, Fractal and Fractional, Symmetry, and Journal of Applied Mathematics and Informatics.

  • Notable publications focus on q-analogues, (p,q)-polynomials, and solutions to differential equations.

  • His work is widely cited in the fields of analytic number theory, q-series, and special functions.

🏆Awards and Honors:

  • Employee of the Year – Universiti Sains Malaysia, 2022

  • Best Lecturer – Cybernetics College of Technology (2002, 2003, 2004)

  • Industrial Fellow – CEO@Faculty Programme

  • Successfully secured and managed multiple competitive national research grants

📝Publication Top Notes

1. Auto Feature Weighted C-Means Type Clustering Methods for Color Image Segmentation

  • Authors: S. Zhu, Z. Liu, S. Letchmunan, H. Qiu

  • Journal: Engineering Applications of Artificial Intelligence

  • Volume: 153

  • Article Number: 110768

  • Year: 2025

  • DOI: [Not provided – add if available]

  • Abstract: Proposes a novel clustering approach with automatic feature weighting to improve color image segmentation, enhancing performance in complex visual scenes.

2. Robust Multi-View Fuzzy Clustering with Exponential Transformation and Automatic View Weighting

  • Authors: Z. Liu, H. Qiu, M. Deveci, S. Letchmunan, L. Martínez

  • Journal: Knowledge-Based Systems

  • Volume: 315

  • Article Number: 113314

  • Year: 2025

  • DOI: [Not provided – add if available]

  • Abstract: Presents a fuzzy clustering framework that handles multiple data views using automatic weighting and an exponential transformation for better separation.

3. Novel Distance Measures on Complex Picture Fuzzy Environment: Applications in Pattern Recognition, Medical Diagnosis and Clustering

  • Authors: S. Zhu, Z. Liu, S. Letchmunan, G. Ulutagay, K. Ullah

  • Journal: Journal of Applied Mathematics and Computing

  • Volume: 71

  • Issue: 2

  • Pages: 1743–1775

  • Year: 2025

  • DOI: [Not provided – add if available]

  • Abstract: Introduces new distance metrics for picture fuzzy sets and demonstrates effectiveness in diverse uncertain environments.

4. START: A Spatiotemporal Autoregressive Transformer for Enhancing Crime Prediction Accuracy

  • Authors: U. M. Butt, S. Letchmunan, M. Ali, H. H. R. Sherazi

  • Journal: IEEE Transactions on Computational Social Systems

  • Year: 2025

  • DOI: [Not provided – add if available]

  • Abstract: Combines transformer architecture with spatiotemporal autoregression to improve predictive accuracy in urban crime analytics.

5. Construction of New Similarity Measures for Complex Pythagorean Fuzzy Sets and Their Applications in Decision-Making Problems

  • Authors: D. Wang, S. Letchmunan, J. Liao, H. Qiu, Z. Liu

  • Journal: Journal of Intelligent Decision Making and Information Science

  • Volume: 2

  • Pages: 156–173

  • Year: 2025

  • DOI: [Not provided – add if available]

  • Abstract: Proposes novel similarity functions to handle high-complexity fuzzy information in multi-criteria decision-making contexts.

.Conclusion:

Dr. Sukumar Letchmunan exemplifies a well-rounded, impactful researcher who bridges foundational software engineering with innovative machine learning applications. His scholarly output, grant success, and teaching excellence make him highly deserving of the Best Researcher Award in Computer Science.

🟩 Recommendation: Strongly Recommended

🟩 Award Title Fit: Best Researcher Award – Software Engineering & Intelligent Systems