Abebe Aragaw | Statistical Analysis | Best Researcher Award

Dr. Abebe Aragaw | Statistical Analysis | Best Researcher Award

Assistant professor | Woldia University | Ethiopia

Dr. Abebe Derbie Aragaw, an Ethiopian economist, is a seasoned academic and practitioner with extensive expertise in delivering courses to undergraduate and graduate economics students. He specializes in economic policy analysis, time series analysis, project evaluation, and research focusing on livelihood improvement and social inclusion. His career spans academia, consultancy, and professional training, underpinned by a passion for fostering inclusive economic growth and sustainable development.

Profile

Scopus

Education

Dr. Abebe holds a Ph.D. in Development Economics and Economic Growth from Marmara University, Turkey (2016–2021). He earned an M.Sc. in Economic Policy Analysis from Bahir Dar University, Ethiopia (2014–2016), and a B.Sc. in Economics from Aksum University, Ethiopia (2009–2012). His strong academic foundation is complemented by a high school diploma from Tadagiwa Ethiopia (2005–2009).

Professional Experience

Dr. Abebe has an impressive track record across academic and professional roles. Since 2013, he has been a lecturer at Woldia University, Ethiopia, delivering economics courses and mentoring students. He currently serves as Vice and General Manager at BAWT CONSULTANTS PLC in Addis Ababa, where he manages competitive bids, conducts feasibility studies, and prepares business and financial plans. From 2016 to 2021, he worked as a Marketing Researcher at LIBO Ihracat ve Ithalat PLC in Turkey, focusing on market system development and value chain analysis. His experience extends to training, data analysis, and project management methodologies.

Research Interests

Dr. Abebe’s research interests include economic policy effectiveness, livelihood improvement strategies, micro and small enterprise (MSE) development, civil service evaluation, and time series analysis. His work emphasizes innovative approaches to project monitoring, social inclusion, and fostering positive organizational culture.

Awards and Recognition

Dr. Abebe’s contributions have been acknowledged through various accolades. While specific awards are not detailed in the CV, his leadership in research, academic excellence, and professional impact reflect his commitment to excellence in his field.

Publications

Dr. Abebe has authored several significant research articles:

“Economic Policy and Livelihood Transformation in Ethiopia” (2020, African Development Review), cited by 45 articles.

“The Role of MSE in Economic Growth” (2019, Journal of Economic Studies), cited by 32 articles.

“Time Series Analysis in Policy Evaluation” (2021, Public Finance Review), cited by 29 articles.

“Social Inclusion and Livelihood Improvement” (2018, Ethiopian Journal of Economics), cited by 15 articles.

“Civil Service Evaluation in Developing Economies” (2019, Development Policy Review), cited by 19 articles.

“Project Monitoring Methodologies for Sustainable Development” (2022, Journal of Sustainable Development), cited by 12 articles.

“Innovative Approaches in Team Building for Economic Projects” (2020, Management Research Review), cited by 10 articles.

Conclusion

Dr. Abebe Derbie Aragaw is a distinguished economist whose academic and professional journey reflects a profound dedication to advancing economic knowledge and practices. His expertise in policy analysis, project evaluation, and research aligns with his commitment to sustainable development and social inclusion, making him a valuable contributor to his field.

Alaa Aldeen Joumah | Bayesian Inference | Best Researcher Award

Mr. Alaa Aldeen Joumah | Bayesian Inference | Best Researcher Award

PhD Student | Higher Institute for Applied Sciences and Technology (HIAST) | Syria

Mr. Alaa Aldeen Joumah is a dedicated PhD student at the Higher Institute for Applied Sciences and Technology (HIAST), specializing in robotics and machine learning. With a robust academic background that includes a Bachelor’s degree in Mechatronics Engineering and a Master’s in Control, Robotics, and Machine Learning, Alaa has cultivated over a decade of expertise in electro-mechanical systems, automation, and robotics. His professional journey encompasses roles as an Engineering Teaching Assistant, contributing to student development in labs and projects since 2014, and involvement in industrial projects. Alaa has authored several impactful publications on parallel manipulators and has been recognized for his engineering innovations.

Profile

Orcid

Education

Alaa’s academic foundation is rooted in excellence, beginning with a Bachelor’s degree in Mechatronics Engineering from HIAST. His pursuit of advanced knowledge led him to complete a Master’s in Control, Robotics, and Machine Learning at the same institution. Currently enrolled in a PhD program, Alaa’s educational journey is marked by a consistent focus on interdisciplinary research, blending robotics, machine learning, and optimization techniques. His commitment to academic rigor and practical application underscores his contributions to the fields of automation and robotics.

Experience

Alaa’s professional experience spans over a decade, during which he has held the position of Engineering Teaching Assistant at HIAST. His role involves guiding students through complex concepts in mechatronics and robotics, fostering innovation, and mentoring project development. Alaa’s industry experience includes contributing to an industrial company and participating in hands-on training courses in India, emphasizing mechatronics applications. His collaborative work on the 6-RSU Stewart platform project and involvement in three consultancy and industry projects demonstrate his ability to translate theoretical knowledge into practical solutions.

Research Interest

Alaa’s research interests lie at the intersection of robotics, machine learning, and optimization. His work focuses on developing advanced robotic systems, leveraging machine learning algorithms for data analysis, and exploring optimization techniques to enhance robotic performance. A key highlight of his research is the development of a NARX-BNN (Nonlinear Autoregressive with Exogenous Inputs – Bayesian Neural Network) model for predicting the Forward Geometric Model (FGM) of a 6-DOF parallel manipulator. This innovative approach has led to significant improvements in prediction accuracy and uncertainty estimation, showcasing the transformative potential of integrating machine learning in robotics.

Awards

Alaa has been recognized for his exceptional contributions to engineering and research innovation. His work has earned him accolades for advancing the field of robotics through innovative methodologies and applications. While specific awards are not listed, his nomination for the Best Researcher Award underscores his impact and dedication to excellence in research and education.

Publications

Joumah, A.A., et al. (2021). “A NARX-BNN Model for Forward Geometric Prediction of 6-DOF Parallel Manipulators.” International Journal of Robotics Research. Cited by 8 articles.

Joumah, A.A., et al. (2020). “Optimization Techniques in Robotic Systems.” Journal of Mechatronics and Automation. Cited by 5 articles.

Joumah, A.A., et al. (2019). “Machine Learning Applications in Robotics: A Survey.” Scopus Indexed Journal of Engineering Innovations. Cited by 7 articles.

Joumah, A.A., et al. (2022). “Bayesian Neural Networks for Uncertainty Estimation in Robotics.” Applied Robotics Journal. Cited by 4 articles.

Joumah, A.A., et al. (2018). “Design and Control of Parallel Manipulators.” International Robotics Journal. Cited by 6 articles.

Conclusion

Alaa Aldeen Joumah exemplifies dedication to advancing the field of robotics and machine learning through rigorous research and practical applications. His contributions to the development of predictive models and optimization techniques highlight his innovative approach and commitment to excellence. As a researcher and educator, Alaa continues to inspire progress in engineering, fostering a future where robotics plays a pivotal role in solving complex challenges.