Nacira Agram | Mathematics | Best Researcher Award

Assoc. Prof. Dr. Nacira Agram | Mathematics | Best Researcher Award

Mathematics Department at KTH Royal, Algeria

Dr. Nacira Agram is an Associate Professor in the Department of Mathematics at KTH Royal Institute of Technology in Stockholm, Sweden. With a robust academic background and extensive research experience, her work primarily focuses on stochastic analysis, optimal control theory, and their applications in finance, insurance, and biology. Dr. Agram has made significant contributions to the field of applied mathematics, particularly in the study of stochastic differential equations and backward stochastic differential equations. Her research is characterized by a deep integration of theoretical mathematics with practical problem-solving, aiming to develop models that address real-world challenges. In addition to her research, Dr. Agram is actively involved in teaching and mentoring, guiding both master’s and doctoral students in their academic pursuits. Her international experience spans multiple countries, reflecting a commitment to fostering global academic collaborations and contributing to the advancement of mathematical sciences.

Professional Profile

Education

Dr. Agram’s academic journey began at the University of Biskra in Algeria, where she earned her Bachelor’s degree in Mathematics in 2008. She continued at the same institution to obtain her Master’s degree in Mathematics in 2010, focusing on stochastic analysis and optimal control. Her passion for these subjects culminated in a Ph.D. in Applied Mathematics from the University of Biskra in 2013, with a dissertation titled “Optimal Control in Infinite Time Horizon.” In 2021, Dr. Agram achieved the title of Docent from Linnaeus University in Växjö, Sweden, recognizing her substantial contributions to research and teaching in mathematics. This progression through rigorous academic training has equipped her with a solid foundation in both theoretical and applied aspects of mathematics, enabling her to tackle complex problems in her subsequent research and professional endeavors.

Professional Experience

Dr. Agram’s professional trajectory is marked by a series of esteemed positions across various academic institutions. Following her Ph.D., she served as an Associate Professor at the University of Biskra from 2014 to 2019, where she was instrumental in advancing the department’s research profile. She then pursued postdoctoral research at the University of Oslo in Norway between 2016 and 2018, collaborating on projects involving stochastic processes. In 2019, Dr. Agram joined Linnaeus University in Växjö, Sweden, as a Tenure-Track Assistant Professor, further honing her research and teaching skills. Her career advanced as she assumed the role of Associate Professor at KTH Royal Institute of Technology in March 2022, where she continues to contribute to the fields of probability, mathematical physics, and statistics. Throughout her career, Dr. Agram has demonstrated a commitment to academic excellence, interdisciplinary collaboration, and mentorship, impacting both her students and the broader mathematical community.

Research Interests

Dr. Agram’s research interests are centered around applied mathematics, with a particular emphasis on stochastic processes and optimal control theory. She delves into stochastic differential equations, backward stochastic differential equations, and partial differential equations, exploring their applications in various domains such as finance, insurance, and biology. Her work often involves the development of deep learning and reinforcement learning algorithms to solve complex optimal control problems, aiming to enhance decision-making processes in uncertain environments. Dr. Agram is also interested in the interplay between stochastic analysis and machine learning, seeking to leverage data-driven approaches to inform and improve mathematical models. Her interdisciplinary approach reflects a dedication to addressing practical problems through rigorous mathematical frameworks, contributing to advancements in both theory and application.

Research Skills

Dr. Agram possesses a diverse set of research skills that underpin her contributions to applied mathematics. She is proficient in stochastic modeling, adept at formulating and analyzing models that incorporate randomness to reflect real-world uncertainties. Her expertise extends to optimal control theory, where she develops strategies to influence dynamic systems towards desired objectives. Dr. Agram is skilled in the application of deep learning techniques, utilizing neural networks to approximate complex functions and solve high-dimensional problems. Her programming capabilities in Python, MATLAB, and C++ facilitate the implementation and simulation of mathematical models, enabling her to test hypotheses and validate theoretical findings. Additionally, her multilingual proficiency in Arabic, French, English, Norwegian, and Swedish enhances her ability to collaborate across diverse cultural and academic settings, fostering international research partnerships.

Awards and Honors

Throughout her career, Dr. Agram has been recognized for her academic excellence and research contributions. She has been the recipient of several prestigious grants, including a Starting Grant from KTH in 2024 amounting to 3 million SEK, and a VR Project Grant in 2020 totaling 3.6 million SEK, underscoring the significance and impact of her research endeavors. Her early academic achievements were marked by accolades such as the Best Bachelor Student Prize in 2008, Best Master Student Prize in 2010, and the First Ph.D. Defense Prize in 2013 from the University of Biskra, highlighting her consistent dedication to scholarly excellence. In 2017, Dr. Agram was selected to participate in the 5th Heidelberg Laureate Forum, an honor that connects promising researchers with laureates in mathematics and computer science, reflecting her standing in the global scientific community. These honors collectively attest to Dr. Agram’s sustained commitment to advancing mathematical sciences and her influence as a leading researcher in her field.

Conclusion

Dr. Nacira Agram exemplifies a distinguished scholar whose career seamlessly integrates rigorous research, dedicated teaching, and impactful mentorship. Her extensive work in stochastic analysis and optimal control has not only advanced theoretical mathematics but also provided practical solutions to complex problems in finance, insurance, and biology. Dr. Agram’s ability to secure significant research funding and her recognition through various awards underscore the value and relevance of her contributions to the scientific community. Her commitment to fostering international collaborations and guiding the next generation of mathematicians reflects a holistic approach to academia, where knowledge creation and dissemination go hand in hand. As she continues her tenure at KTH Royal Institute of Technology, Dr. Agram remains poised to make further strides in her research, inspiring both her peers and students through her exemplary dedication to the advancement of mathematical sciences.

Publication Top Notes

  1. “Deep learning for quadratic hedging in incomplete jump market”

    • Authors: Nacira Agram, Bernt Karsten Øksendal, Jan Rems
    • Year: 2024
    • Citations: 1
  2. “Optimal stopping of conditional McKean–Vlasov jump diffusions”

    • Authors: Nacira Agram, Bernt Karsten Øksendal
    • Year: 2024

Adane Akate | Mathematics | Best Researcher Award

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

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