Yung Lan Yeh | Data Science | Research Excellence Award

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Prof. Dr. Yung Lan Yeh | Data Science | Research Excellence Award

Academy of Circular Economy-Intelligent Technology Program | Taiwan

Prof. Yung-Lan Yeh is an accomplished aerospace engineer and academic leader with extensive expertise spanning aerospace engineering, experimental fluid mechanics, aerodynamics, computational fluid dynamics, smoke-flow visualization, jet flow control, and UAV systems. His professional portfolio integrates advanced UAV design and system integration with industrial and aerodynamic design, civil aviation systems, maintenance practices, and modern manufacturing approaches such as 3D printing. He has led and contributed to high-impact technological projects focused on aerodynamic property verification, bio-inspired wind turbine development, and the investigation and prediction of complex jet flow structures using artificial neural network methods. Beyond research and industry engagement, he has played a sustained role in academic service, including editorial responsibilities in an international aeronautics journal, and has supported education and research through teaching and technical assistance in aerospace and aeronautics departments. His technical competencies further include aircraft maintenance, ultrasonic testing, and carbon fiber composite material repair, reflecting a strong balance between theoretical knowledge and applied engineering practice. His scholarly output comprises 23 published documents, which have collectively received 157 citations across 150 citing documents, resulting in an h-index of 5, demonstrating consistent contributions to aerospace science, fluid mechanics, and applied engineering research.

Citation Metrics (Scopus)

160
120
80
40
0

Citations 157

Documents 23

h-index
5

Citations

Documents

h-index

On the Experimental Study of Active Atmosphere Control of 3D Printing via Nozzle Design

– Journal of Aeronautics, Astronautics and Aviation (Journal Article)

Preliminary Design and Application of Anti-Explosion Technology for UAV Based on 3D Printing

– Journal of Aerospace (Journal Article)

Modular High Lift Device for Fixed-Wing UAV

– Journal of Aeronautics, Astronautics and Aviation

Thermal Analysis of a Radial Heat Sink

– Journal of Aeronautics, Astronautics and Aviation

Performance Analysis of UAV Propellers with Variable Inclined Angles

– Journal of Aeronautics, Astronautics and Aviation (Journal Article)
 

Abhijeet Das | Data Science | Best Researcher Award

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Dr. Abhijeet Das | Data Science | Best Researcher Award

Dr. Abhijeet Das | C. V. Raman Global University | India

Dr. Abhijeet Das is a research consultant specializing in water resources and GIS, with extensive expertise in hydrological modeling, environmental assessment, and spatial analysis. His academic and research contributions focus on surface water quality, pollution vulnerability, and sustainable water management across major Indian river basins such as the Mahanadi, Brahmani, and Baitarani. He has authored 94 research documents and received 256 citations across 130 referencing works, reflecting his growing academic impact and research visibility. His h-index of 9 underscores his consistent scholarly contributions and influence in environmental geoinformatics, water quality modeling, and GIS-integrated decision systems. Dr. Das’s research integrates artificial intelligence, machine learning, and remote sensing to advance predictive models for hydrological vulnerability and environmental sustainability. His innovative methodologies for water quality mapping, pollution source apportionment, and spatial decision support have supported both academic advancements and applied water governance frameworks. Through numerous international collaborations and conference presentations, his work has contributed to global initiatives aligned with the Sustainable Development Goals, particularly SDG 6 (Clean Water and Sanitation) and SDG 13 (Climate Action), promoting scientific innovation for sustainable resource management.

Profile:  Scopus 

Featured Publications

  • Das, A. (2025). Drinking water resources suitability assessment in Brahmani River, Odisha based on pollution index of surface water utilizing advanced water quality methods. Scientific Reports.

  • Das, A. (2025). An optimization-based framework for water quality assessment and pollution source apportionment employing GIS and machine learning techniques for smart surface water governance. Discover Environment.

  • Das, A., & Mishra, S. (2025). Reimagining biofiltration for sustainable industrial wastewater treatment.

Habte Tadesse LIKASSA | Data Science | Best Academic Researcher Award

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Dr. Habte Tadesse LIKASSA | Data Science | Best Academic Researcher Award

Dr. Habte Tadesse Likassa, Arizona State University, United States

Dr. Habte Tadesse Likassa is a versatile and accomplished academic researcher whose work bridges critical areas of biostatistics, medical imaging, and econometrics. He has made notable contributions to methodological innovation and has demonstrated leadership in education and research policy. His career is marked by a commitment to excellence, interdisciplinary collaboration, and applied impact.

Profile

Scopus

Google Scholar

Summary:

Dr. Habte Tadesse Likassa is an accomplished statistician and researcher with strong credentials in applied and theoretical domains. His work is interdisciplinary, spanning healthcare, economics, and statistical methodologies, and is marked by real-world relevance and academic rigor. His leadership roles, technical skills, and international collaborations reinforce his profile as a high-potential researcher. However, strategic focus on publishing in higher-impact journals and increasing citation metrics would strengthen his global scholarly presence.

🎓 Education

Habte T. Likassa holds a PhD in Statistics from the National Taiwan University of Science and Technology, Taiwan, awarded in July 2019. His doctoral research focused on developing new robust methods for outlier and heavy sparse noise detection in high-dimensional images, earning him an A+ grade. He also holds an MSc in Statistics from Addis Ababa University, Ethiopia, where his thesis involved spatial and count regression models for analyzing tuberculosis incidence in North Shoa Zone. He earned his BSc in Statistics from the University of Gondar, Ethiopia, with a research focus on time series modeling for traffic data forecasting. Additionally, he obtained a Higher Diploma in Teaching at Higher Education from Debre Birhan University in 2013.

💼Experience

Dr. Likassa is currently serving as a Postdoctoral Research Scholar at the Department of Biostatistics, College of Health Solutions, Arizona State University, USA, since 2024. His work involves both methodological advancements in biostatistics and applied analysis using high-dimensional datasets. Previously, he held academic appointments across several Ethiopian universities including Addis Ababa University, Ambo University, and Debre Birhan University, serving in various capacities such as Assistant Professor, Lecturer, and Graduate Assistant between 2008 and 2023.

🔬Research Focus

Dr. Likassa’s research interests are diverse and interdisciplinary. His work primarily focuses on the development of robust statistical methods for medical imaging and anomaly detection in high-dimensional data. He is also engaged in survival analysis for heart failure, COVID-19, and cancer patients, as well as econometric modeling of inflation volatility using multivariate GARCH techniques. His research interests include machine learning, deep robust methods, low-rank sparse decomposition such as RPCA and Tensor RPCA, optimization techniques, artificial intelligence, and applied statistical modeling including logistic regression, multivariate analysis, spatial analysis, medical image analysis, and time series forecasting.

🛠️Skills

Dr. Likassa has extensive expertise in data management and advanced statistical modeling. His skills span big data analytics, management of economic and survey claim data, spatial exploratory data analysis, and high-dimensional health and image data analysis. He is proficient in various statistical software including LaTeX, SPSS, SAS, Stata, R, GIS, MATLAB, and Python. He has also delivered numerous training sessions to researchers, postgraduate students, and government professionals on research ethics, statistical methods, and data analysis techniques.

🏆Awards

Dr. Likassa has received several awards for his contributions to research and presentations. In 2024, he delivered a talk at the Arizona Alzheimer’s Consortium. He has received multiple Best Presenter Certificates at international conferences, including a Best Presenter Award in Taiwan, Republic of China.

📚 Publications

  • Title: A Multivariate GARCH Model with Time-Varying Correlations: What Do Inflation Data Show in Ethiopia
    Authors: Likassa, Habte Tadesse; Chen, Dinggeng; Nadarajah, Saralees; Temesgen, Shibru; Gotu, Butte
    Year: 2025
    Journal: Computational Economics

  • Title: Building a Sustainable Future: Investigating the Role and Contributions of Higher Education Institutions Instructors in Promoting Social Sustainability—Empirical Evidence from Ethiopia
    Authors: Tafese, Mestawot Beyene; Kopp, Erika; Likassa, Habte Tadesse
    Year: 2024
    Journal: Education Sciences

Conclusion:

Dr. Likassa is highly suitable for the Best Academic Researcher Award. His breadth of expertise, research innovation, and dedication to academic service make him a commendable choice. Addressing the noted areas for improvement could further enhance his candidacy, but his current achievements already position him as an impactful and deserving researcher on an international scale