Adane Akate | Mathematics | Best Researcher Award

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Mr. Adane Akate | Mathematics | Best Researcher Award

Lecturer at Mekdela Amba University, Ethiopia

Adane Akate is a passionate academic and researcher with extensive expertise in mathematics, optimization, and computational methods. Currently serving as a Lecturer and Library Directorate Director at Mekdela Amba University, Ethiopia, he combines teaching with research to inspire and mentor students. With over five years of professional experience, Adane has significantly contributed to academic and community service initiatives, showcasing strong organizational and interpersonal skills. His research focuses on advanced mathematical models and their applications in diverse fields, such as fuzzy programming and numerical optimization. Adane has published multiple peer-reviewed journal articles and presented at international conferences, earning recognition for his innovative approaches. Proficient in programming and analytical tools, he is committed to addressing complex mathematical problems and advancing knowledge in his domain.

Professional Profile

Education

Adane Akate holds a B.Sc. in Mathematics from Debre Tabor University, where he graduated with First Class Honors and an impressive CGPA of 3.94. He further advanced his academic journey by earning an M.Sc. in Optimization from Haramaya University, achieving a CGPA of 3.72. During his graduate studies, he focused on computational mathematics, optimization theory, and approximation techniques, laying a solid foundation for his research career. Adane also completed various certifications, including training in software like SPSS, Python, and R, further enhancing his analytical skills.

Professional Experience

Since February 2019, Adane Akate has served as a Lecturer and Library Directorate Director at Mekdela Amba University. In this role, he teaches mathematics courses, supervises research projects, and advises students academically and socially. Adane also contributes to the university’s research endeavors by coordinating thematic areas and leading community service projects within the Mathematics Department. He has extensive experience organizing academic seminars and workshops, ensuring effective knowledge dissemination and collaboration. His technical expertise extends to reviewing and editing academic journals, enhancing the quality of research outputs at the institutional level.

Research Interests

Adane Akate’s research interests center around optimization, numerical methods, and fuzzy mathematics. He is particularly focused on developing computational approaches to solve multi-objective and fractional programming problems. His work incorporates advanced mathematical techniques, such as quadratic control systems, to address real-world challenges in agriculture, economics, and computer science. Adane’s dedication to optimization extends to exploring fuzzy logic and fractional programming involving complex fuzzy numbers, ensuring his research remains at the forefront of mathematical innovation.

Research Skills

Adane Akate is adept at applying advanced mathematical tools and software to solve complex problems. His skills include proficiency in MATLAB, Python, SPSS, and LaTeX, as well as expertise in programming languages like C++. Adane is experienced in numerical optimization, dynamic programming, and theoretical approximation. His strong analytical abilities enable him to conduct high-quality research, publish in reputable journals, and present findings effectively. Additionally, his expertise in reviewing and editing academic publications demonstrates his commitment to academic excellence.

Awards and Honors

Adane Akate has achieved numerous accolades throughout his academic career. He graduated with First Class Honors in his B.Sc. program, demonstrating his dedication and exceptional abilities in mathematics. His M.Sc. studies in optimization further highlighted his academic rigor, earning him recognition among peers and mentors. Adane’s contributions to research have been acknowledged through editorial roles and invitations to international conferences. His published works have established him as a respected voice in mathematical optimization, reflecting his commitment to advancing the field.

Conclusion

Adane Akate exhibits exceptional strengths in mathematical optimization, computational skills, and academic contributions, making him a strong contender for the Best Researcher Award. His academic achievements and research productivity, combined with his dedication to community service and institutional leadership, make him well-suited for this recognition. Addressing areas for improvement, such as expanding interdisciplinary collaborations and enhancing publication metrics, could further establish his standing as a leading researcher.

Publication top Notes

  • Adane Akate, 2022 – Numerical Methods for Solving Linear Time Varying Quadratic Optimal Control Problems. Results in Control and Optimization, 8, p.100161.
  • Adane Akate and Fentaw G., 2024 – Solving Multiobjective Fuzzy Binary Integer Linear Fractional Programming Problems Involving Pentagonal and Hexagonal Fuzzy Numbers. Journal of Mathematics, 2024(1), p. 5597938.
  • Fentaw G. and Adane Akate, 2024 – New Mean and Median Techniques to Solve Multiobjective Linear Fractional Programming Problem and Comparison with Other Techniques. Journal of Optimization, 2024(1), p. 5000269.
  • Adane Akate, 2019 – Solving of Linear Time Invariance Quadratic Optimal Control Systems Using Chebyshev Scaling Function. Mathematical Theory and Modeling, Vol. 9, No. 7, pp. 1-7.
  • Adane Akate, 2019 – Comparison of Two Methods for Linear Time Invariance Quadratic Optimal Control Problems. Central Asian Journal of Mathematical Theory and Computer Sciences, 1(1), pp. 40-45.
  • Adane Akate, 2020 – Application of Dynamic Programming in Agriculture, Economics, and Computer Science. International Journal of Sustainable Development Research, Vol. 4, No. 6, pp. 49-54. doi: 10.11648/j.ijsdr.20200604.11.

 

Hamidou Tembine | Mathematics | Best Scholar Award

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Prof. Dr. Hamidou Tembine | Mathematics | Best Scholar Award

Professor of AI at UQTR, Canada

Prof. Dr. Hamidou Tembine is a senior research scientist at the King Abdullah University of Science and Technology (KAUST), specializing in applied mathematics and computational science. His research integrates uncertainty quantification, evolutionary game theory, and distributed learning to tackle complex problems in wireless communications and beyond. Tembine has made significant contributions to optimizing systems in uncertain environments, helping to advance the understanding of complex stochastic systems. He has been recognized for his innovative research, especially for its societal impact.

Professional Profile

Education

Prof. Tembine completed his higher education in mathematical engineering. He earned his Ph.D. from the University of Paris-Est, where he developed expertise in stochastic processes, optimization, and game theory. His academic background laid a strong foundation for his subsequent research in applied mathematics and computational science, where he focuses on areas including strategic learning, communication networks, and mathematical models of uncertainty​

Professional Experience

Throughout his career, Prof. Tembine has held significant academic and research positions. He is currently a senior research scientist at KAUST, where he contributes to the Stochastic Numerics Research Group (StochNum). He has also held roles in various academic institutions, developing expertise in communication systems, distributed networks, and optimization under uncertainty​

Research Interests

Prof. Tembine’s research interests are diverse, spanning from uncertainty quantification to evolutionary game theory. His work aims to solve real-world problems in areas like wireless communications, distributed strategic learning, and multi-agent systems. He focuses on optimizing communication networks by applying advanced mathematical models, offering insights into complex systems where uncertainty plays a central role​

Research Skills

Prof. Tembine is skilled in stochastic numerics, optimization techniques, and mathematical modeling. His expertise includes developing algorithms for uncertain systems, conducting theoretical research in game theory, and applying these models to real-world communication and network systems. He is proficient in a range of mathematical tools, from evolutionary strategies to advanced computational methods, enhancing the performance of complex systems under uncertain conditions​

Awards and Honors

Prof. Tembine has received numerous accolades for his groundbreaking research. One of his significant awards is the IEEE Communications Society (ComSoc) EMEA Outstanding Young Researcher Award, recognizing his contributions to society through his research in wireless communications and uncertainty quantification.

Conclusion

Prof. Dr. Tembine’s outstanding scholarly contributions and innovative research place him in strong contention for the Best Scholar Award. He has demonstrated a strong leadership role in advancing his field and has the potential to enhance the impact of his work by further expanding collaborations and promoting interdisciplinary initiatives.

Publications Top Notes

  • Game theory and learning for wireless networks: fundamentals and applications
    • Authors: S. Lasaulce, H. Tembine
    • Year: 2011
    • Citations: 349
  • Underwater wireless sensor networks: A survey on enabling technologies, localization protocols, and internet of underwater things
    • Authors: M. Jouhari, K. Ibrahimi, H. Tembine, J. Ben-Othman
    • Year: 2019
    • Citations: 308
  • Evolutionary games in wireless networks
    • Authors: H. Tembine, E. Altman, R. El-Azouzi, Y. Hayel
    • Year: 2009
    • Citations: 227
  • Electrical vehicles in the smart grid: A mean field game analysis
    • Authors: R. Couillet, S. M. Perlaza, H. Tembine, M. Debbah
    • Year: 2012
    • Citations: 203
  • Risk-sensitive mean-field games
    • Authors: H. Tembine, Q. Zhu, T. Başar
    • Year: 2013
    • Citations: 190
  • Distributed strategic learning for wireless engineers
    • Authors: H. Tembine
    • Year: 2018
    • Citations: 159
  • Game theory for wireless communications and networking
    • Authors: Y. Zhang, M. Guizani
    • Year: 2011
    • Citations: 155
  • Game dynamics and cost of learning in heterogeneous 4G networks
    • Authors: M. A. Khan, H. Tembine, A. V. Vasilakos
    • Year: 2011
    • Citations: 153
  • A stochastic maximum principle for risk-sensitive mean-field type control
    • Authors: B. Djehiche, H. Tembine, R. Tempone
    • Year: 2015
    • Citations: 122
  • Mean-field-type games in engineering
    • Authors: B. Djehiche, A. Tcheukam, H. Tembine
    • Year: 2017
    • Citations: 116