🏫 Education
Dr. Đorđević completed her Bachelor of Science in Mathematics at the Faculty of Science and Mathematics, University of Niš, where her passion for stochastic processes began. She continued her academic journey with a Master of Science in Mathematical Finance, further solidifying her expertise in applying mathematical concepts to financial models. Her academic prowess culminated in a PhD in Mathematics from the same institution, with a thesis on “Backward Stochastic Differential Equations with Perturbations,” under the guidance of Professor Svetlana Janković.
👩🏫 Professional Experience
With a wealth of knowledge and experience, Dr. Đorđević has held various academic positions at the University of Niš, starting as a Teaching Assistant and progressing to Assistant Professor and eventually becoming a Full Professor. She has contributed significantly to the Department of Mathematics, teaching a range of courses from introductory to advanced levels, including probability, financial modeling, and stochastic analysis.
Her dedication to research led her to a prestigious Postdoctoral position at the University of Oslo, where she worked on the STORM project under the supervision of Prof. Giulia Di Nunno, focusing on stochastic models for time-space risk analysis.
🌐 Research and Publications
Dr. Đorđević has presented her research at numerous international conferences and seminars, showcasing her expertise in areas such as backward stochastic differential equations, time-changed Lévy processes, and stochastic control. Her contributions have been widely recognized, earning her invitations as an invited speaker and organizer at various academic gatherings.
📚 Skills and Interests
Apart from her academic achievements, Dr. Đorđević is multilingual, with fluency in English and a basic understanding of French and Norwegian. She is proficient in a range of mathematical software and tools, including Matlab, Mathematica, LaTeX, and Python.
Dr. Jasmina Đorđević’s passion for mathematics, coupled with her relentless pursuit of knowledge and contributions to academia, mark her as a leading figure in the field of stochastic analysis and mathematical finance.