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.

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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.

💼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

Aqsa Zafar Abbasi | Data Science | Women Researcher Award

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Ms. Aqsa Zafar Abbasi | Data Science | Women Researcher Award

Ms. Aqsa Zafar Abbasi, Institute of Space Technology, Pakistan

Ms. Aqsa Zafar Abbasi is a PhD candidate in Mathematics at the Institute of Space Technology, Pakistan, specializing in group theory, cryptography, and mathematical modeling. Her research focuses on the parametric exploration of homomorphisms of modular groups for finite generalized triangle groups, with applications in image encryption, substitution box design, and neural network-based cryptographic security. With six years of teaching experience, she has served as a visiting lecturer at multiple institutions, teaching courses in differential equations, discrete mathematics, graph theory, and engineering mathematics. She has published extensively in high-impact journals, contributing to research in cryptography, fuzzy algebra, and numerical simulations. Aqsa is proficient in MATLAB, Python, R, and computational intelligence techniques, making her a dedicated researcher in the fields of mathematics and data security.

Profile

Scopus

Summary:

Ms. Aqsa Zafar Abbasi is an exceptional researcher in mathematical cryptography, data security, and computational mathematics. Her significant contributions to encryption techniques, strong publication record, and interdisciplinary expertise make her a strong candidate for the Research for Women Researcher Award. While she already has an impressive academic and research background, expanding collaborations, engaging in industry applications, and securing research funding could further elevate her contributions.

 

🎓 Education

Aqsa Zafar Abbasi is currently pursuing a PhD in Mathematics at the Institute of Space Technology, Islamabad, Pakistan, with an expected completion date in February 2025. Her research focuses on the parametric exploration of homomorphisms of modular groups for finite generalized triangle groups, with applications in cryptography and neural network-based encryption. She holds an MS in Mathematics from the same institution, completed in 2021, where she explored algebraic characteristics of bipolar-valued fuzzy subgroups and their applications in decision-making and S-box analysis. She also earned an MSc in Mathematics from PMAS Arid Agriculture University, Rawalpindi, with an excellent academic record.

 

💼Experience

With six years of teaching experience, Aqsa has served as a visiting lecturer at prestigious institutions, including Pir Mehr Ali Shah Arid Agriculture University, National Defence University, Shaheed Zulfiqar Ali Bhutto Institute of Science and Technology (SZABIST), and the Institute of Space Technology, Islamabad. She has taught differential equations, discrete mathematics, graph theory, real analysis, linear algebra, and engineering mathematics to students in mathematics, software engineering, and computer science programs.

 

🔬Research Focus

Aqsa’s research expertise includes group theory, cryptography, algebraic geometry, numerical solutions of PDEs, and machine learning applications in mathematical modeling. She specializes in highly secure substitution box construction for encryption, particularly for image encryption and watermarking, using parameterized homomorphisms of modular groups. Additionally, she integrates neural networks with encryption schemes to enhance data security. Her research also extends to bipolar-valued fuzzy set theory, focusing on its applications in decision-making and cryptographic analysis.

Awards

Aqsa has gained recognition for her contributions to cryptography, algebraic structures, and numerical analysis, with publications in renowned scientific journals. Her research on mathematical modeling and encryption techniques has positioned her as a dedicated scholar in her field.

Skills

Aqsa possesses a diverse skill set, including mathematical modeling, computational intelligence, programming (C++, Python, MATLAB, R, Wolfram Mathematica), research writing, editing, and proofreading. She is also skilled in seminar organization, event management, leadership, and teamwork, making her a well-rounded academic professional.

 

Publications

  • Publication: A digital audio data protection method using parametric action of generalised triangle group on GF(28)
    Authors: A.Z. Abbasi (Aqsa Zafar Abbasi), A. Rafiq (Ayesha Rafiq), B.M. Alshammari (Badr Mesned)
    Journal: Ain Shams Engineering Journal
    Year: 2025

 

Conclusion:

Ms. Aqsa Zafar Abbasi is a highly qualified and deserving candidate for the Research for Women Researcher Award. Her expertise in mathematical cryptography, interdisciplinary research, and teaching makes her a valuable asset to the academic community. With continued research, international collaborations, and industry engagement, she has the potential to make even greater contributions to her field.