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.
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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.
đź’ĽExperience
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.