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

Subarna Roy l Mathematical Modeling l Best Researcher Award

Mr. Subarna Roy l Mathematical Modeling l Best Researcher Award

Senior Research Fellow at Indian Institute of Information Technology Bhagalpur, India

Mr. Subarna Roy is a dedicated researcher currently pursuing his Ph.D. in Mathematics at the Indian Institute of Information Technology, Bhagalpur, Bihar, under the guidance of Dr. Pankaj Kumar Tiwari. He holds a Master of Science (M.Sc.) degree in Mathematics from Visva-Bharati University, Santiniketan, which he completed in 2020 with a CGPA of 8.74/10, and a Bachelor of Science (B.Sc.) with Honors in Mathematics from Burdwan University, West Bengal, achieved in 2018. His research interests focus on the mathematical modeling of ecological systems, particularly involving seasonality and stochasticity. Mr. Roy has co-authored several notable research papers in prestigious journals and has also qualified for the CSIR NET (JRF) and GATE examinations, reflecting his academic excellence and dedication to his field. His expertise extends to computational tools such as MATLAB and Maple, as well as typesetting software like LaTeX.

Profile:

Education

Mr. Subarna Roy is currently pursuing his Ph.D. in Mathematics under the supervision of Dr. Pankaj Kumar Tiwari at the Indian Institute of Information Technology, Bhagalpur, Bihar. He holds a Master of Science (M.Sc.) degree in Mathematics, which he obtained from Visva-Bharati University, Santiniketan, West Bengal, in 2020 with an impressive CGPA of 8.74/10. Prior to this, he completed his Bachelor of Science (B.Sc.) with Honors in Mathematics from Burdwan University, West Bengal, in 2018, securing 65.75%. His academic journey began with his Higher Secondary education, where he scored 87.6% from the West Bengal Council of Higher Secondary Education (W.B.C.H.S.E.), Kolkata, in 2015, followed by his Matriculation from the West Bengal Board of Secondary Education (W.B.B.S.E.), Kolkata, in 2013, with a score of 78.7%.

Professional Experience

Mr. Subarna Roy has established himself as a promising researcher in the field of mathematical modeling with a focus on ecological systems. Throughout his academic career, he has gained significant research experience, particularly during his ongoing Ph.D. studies at the Indian Institute of Information Technology, Bhagalpur. Under the supervision of Dr. Pankaj Kumar Tiwari, Mr. Roy has been actively involved in several research projects, contributing to the understanding of predator-prey dynamics, seasonality, and stochastic processes in ecological models. His work has led to the publication of multiple research papers in high-impact journals such as The European Physical Journal Plus, Journal of Biological Systems, and Chaos Solitons & Fractals. In addition to his research, Mr. Roy has demonstrated expertise in computational tools like MATLAB and Maple, and has collaborated with leading experts in his field on interdisciplinary projects. His academic achievements, combined with his research output, highlight his growing influence in the domain of applied mathematics and ecological modeling.

Research Interest

Mr. Subarna Roy’s research interests lie in the field of mathematical modeling of ecological systems, with a particular focus on models that incorporate seasonality and stochasticity. His work explores the complex dynamics of predator-prey interactions, emphasizing how seasonal changes and random environmental factors impact ecological stability. Additionally, Mr. Roy is interested in models that include fear effects, refuge dynamics, hunting cooperation, and the impact of toxicity in ecological systems. His research also delves into the bifurcation analysis of population models, examining how various ecological factors influence system behavior and stability. Through his work, he aims to develop models that offer deeper insights into the behavior of ecosystems under both deterministic and stochastic conditions, contributing to fields such as conservation biology, population dynamics, and resource management.

Research Skills

Mr. Subarna Roy possesses a diverse set of skills that enhance his research capabilities in mathematical modeling and ecological systems. He is proficient in computational software, including MATLAB and Maple, which he utilizes for complex simulations and data analysis in his research. In addition, Mr. Roy is skilled in typesetting software such as LaTeX and Microsoft Office, enabling him to efficiently prepare and present technical documents and research papers. His ability to work with advanced mathematical tools and software allows him to model intricate ecological systems with precision, contributing to his success in academic research. Furthermore, his expertise in mathematical analysis and model development equips him with the technical knowledge to address complex environmental and biological challenges in his field.

Award and Recognitio

Mr. Subarna Roy has received several prestigious awards and recognitions that highlight his academic excellence and research potential. He qualified for the CSIR NET (JRF) in November 2020, a highly competitive national-level examination that recognizes outstanding scholars in the field of science and research. Additionally, he successfully cleared the GATE examination in 2021, further demonstrating his proficiency and expertise in mathematics. These accomplishments underscore his dedication to his field and his potential to contribute meaningfully to the academic and research communities.

Conclusion

Mr. Subarna Roy’s academic background, research focus on ecological systems, and extensive list of publications demonstrate his potential as a leading researcher in his field. His work on predator-prey dynamics, seasonality, and stochasticity is both impactful and forward-looking, making him a worthy contender for the Best Researcher Award.

Publication Top Notes

  • A systematic study of autonomous and nonautonomous predator–prey models for the combined effects of fear, refuge, cooperation and harvesting
    • Published in: The European Physical Journal Plus
    • Volume: 137
    • Article number: 724
    • Year: 2022
  • Effects of fear, refuge and hunting cooperation in a seasonally forced eco-epidemic model with selective predation
    • Published in: The European Physical Journal Plus
    • Volume: 137
    • Article number: 528
    • Year: 2022
  • Two fold impacts of fear in a seasonally forced predator-prey system with Cosner functional response
    • Published in: Journal of Biological Systems
    • Volume: 31
    • Issue: 2
    • Pages: 517-555
    • Year: 2023
  • Effect of seasonality on a nutrient–plankton system with toxicity in the presence of refuge and additional food
    • Published in: The European Physical Journal Plus
    • Volume: 137
    • Article number: 368
    • Year: 2022
  • An optimal control model for the impact of Phoslock on the mitigation of algal biomass in lakes
    • Published in: Journal of Biological Systems
    • Volume: 30
    • Issue: 4
    • Pages: 945-984
    • Year: 2022
  • Bifurcation analysis of autonomous and nonautonomous modified Leslie-Gower models
    • Published in: Chaos
    • Volume: 34
    • Issue: 2
    • Article number: 023131
    • Year: 2024
  • Dynamics of a generalist predator-prey system with harvesting and hunting cooperation in deterministic/stochastic environment
    • Published in: Mathematical Methods in the Applied Sciences
    • Volume: 47
    • Issue: 7
    • Pages: 5916-5938
    • Year: 2024
  • Dynamical behaviors of autonomous and nonautonomous models of generalist predator-prey system with fear, mutual interference and nonlinear harvesting
    • Published in: Chaos Solitons & Fractals
    • Volume: 183
    • Article number: 114891
    • Year: 2024