{"id":1156,"date":"2024-11-26T09:34:46","date_gmt":"2024-11-26T06:34:46","guid":{"rendered":"https:\/\/conferences.su.edu.krd\/ficma\/?page_id=1156"},"modified":"2025-05-03T15:24:11","modified_gmt":"2025-05-03T12:24:11","slug":"plenary-speakers","status":"publish","type":"page","link":"https:\/\/conferences.su.edu.krd\/ficma\/plenary-speakers\/","title":{"rendered":"Plenary Speakers"},"content":{"rendered":"\n
\n

Plenary Speakers<\/h1><\/div>\n<\/div><\/div>\n\n\n\n
\n

Plenary Speakers<\/h2><\/div>
<\/div>

1. Christophe RITZENTHALER -CIMPA Executive Director<\/a>

Title<\/strong>: Education and collaboration in research in mathematics: a survey of CIMPA activities.

2. Marcella Sam\u00e0, Universit\u00e0 Roma Tre, Italy<\/a>

Title<\/strong>: An Operation Research Perspective: from classical problem to real-world applications.
Abstract<\/strong>: Operations Research (OR) is a multidisciplinary field that tackles complex decision-making problems through analytical methods in order to improve the effectiveness of the decisions taken. Despite its roots in classical problems, OR has always been driven by the pursuit of practical applications. In this talk we will explore how classical problems continue to serve as a foundation for addressing increasingly complex challenges, demonstrating the field’s enduring relevance and versatility.

3. Modjtaba Ghorbani, Shahid Rajaee Teacher Training University<\/a>

Title<\/strong>: On the spectra of matrices based on graph invariants.
Abstract<\/strong>: The spectra of a network’s adjacency matrix provide insights into various structural properties and the dynamic behaviour of the corresponding complex system. For example, the degeneracy of the zero and one eigenvalues reveals clues about the structural symmetries of the underlying networks (Yadav and Jalan, 2015). In this presentation, we examine the spectra of several matrices associated with a molecular graph based on topological indices.

4. Rasber\u00a0Dhahir\u00a0Rashid, Salahaddin University-Erbil<\/a>

Title<\/strong>:\u00a0AI in Multidisciplinary Science: Opportunities, Challenges, and the Need for\u00a0Explainability.\u00a0
Abstract<\/strong>:\u00a0Artificial Intelligence (AI) is transforming multidisciplinary science, offering\u00a0
unprecedented opportunities for mathematicians, physicists, and computer scientists\u00a0 to tackle complex problems. From accelerating simulations in physics to optimizing\u00a0algorithms in computer science and modeling intricate mathematical systems, AI\u00a0enhances efficiency and uncovers novel insights. However, its integration into\u00a0rigorous scientific inquiry presents significant challenges that demand careful\u00a0consideration. Black Box models, biased datasets, and over-reliance on AI can lead\u00a0
to misleading results, undermining the credibility of scientific findings. This talk\u00a0explores AI\u2019s transformative potential while emphasizing the critical need for\u00a0explainability to ensure robust, and reproducible outcomes.\u00a0

5. Waleed Husain Aziz, Salahaddin University-Erbil, Iraq<\/a>

Title<\/strong>: Integral Aspects of Differential Vector Fields
Abstract<\/strong>: The local integrability of two dimensional differential systems has been extensively studied by many authors. Our aim here is to generalize this problem to three and four dimensional differential systems with varies kind of resonance. In particular, we focus on two simplified versions of the general problem of integrability and linearizability.
The first one deals with integrability and linearizability problems with restriction to the quadratic three dimensional Lotka-Volterra differential systems with (1\u2236-3\u22361)-resonant singular point at the origin and a family of cubic three-dimensional Lotka\u2013Volterra systems with one zero eigenvalue, involving seventeen parameters.
The second one investigates the study of the linearizability problem of a singular point at the origin for a family of a quadratic four dimensional Lotka\u2013Volterra system for (1:-1:1:1)-resonance.
The main method which we have used is the Darboux method of integrability and Jacobi multipliers together with some more explicit power series arguments.<\/p><\/div><\/div>\n\n\n\n

\"\"<\/figure><\/div>\n<\/div><\/div>\n","protected":false},"excerpt":{"rendered":"

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