Bio Summary:
Yaron Yeger is a seasoned mathematician and applied mathematician with a strong focus on stochastic processes, queueing theory, and mathematical modeling. Currently based in Herzliya, Israel, he has an extensive academic background and professional journey spanning various prestigious institutions. Yeger is the founder of YegerMaster, an online courses platform, showcasing his commitment to education and accessibility.
Education:
PhD in Applied Mathematics, Tel Aviv University
MSc in Applied Mathematics, Tel Aviv University
BSc in Mathematics and Physics
Research Focus:
Yaron’s research expertise lies in stochastic and probabilistic processes, queueing theory, and economic models such as the Bass Model and Logit. His work extends to market simulations, analysis, and the development of novel approaches in stochastic modeling.
Professional Journey:
Yeger has held significant academic positions, including postdoctoral fellowships at Eindhoven University of Technology and Holon Institute of Technology. He has lectured on various subjects, including stochastics, simulation for finance, insurance, credit risk, and more. Additionally, he has contributed extensively to Tel Aviv University as a lecturer, course supervisor, and teaching assistant.
Honors & Awards:
Included in the Rector’s “List of 100” Excellent Junior Lecturers of Tel-Aviv University
Various awards for academic excellence and contributions to the field
Conference Talks:
Yeger has presented his research findings at notable conferences.
- ASIP tandem queue with consumption, IFIP WG 7.3 Performance conference, November 2023, Chicago, USA
- A generalized ASIP with movements in all directions, Orsis conference, August 2021, Technion, Haifa, Israel
- Matrix approach for analyzing n-site generalized ASIP systems, Orsis conference, May 2023, Tel-Aviv, Israel
Author Metrics:
Published in reputable journals like Mathematics and Performance Evaluation
Presented conference talks at IFIP WG 7.3 Performance Conference, Orsis Conference, and others
Supervised students in their research endeavors
Research Timeline:
Preprints: Ongoing work on ASIP tandem queue network approximations, ASIP in random environment, generalized ASIP with movements, and more.
Conference Talks: Regularly presenting research findings at conferences, showcasing the evolution of his work.
Peer Review: Actively engaged in evaluating and contributing to studies in areas like Markov Chain Monte Carlo approach.
Publications Top Noted & Contributions:
Yeger has made noteworthy contributions through his publications, covering topics such as ASIP tandem queue, generalized ASIP systems, Logit model in a heterogeneous market, and the stochastic Bass Model. He actively engages in peer review activities, contributing to the academic community’s knowledge base.
ASIP Tandem Queues with Consumption
- Authors: Y. Yeger, O. Boxma, J. Resing, M. Vlasiou
- Published in Performance Evaluation, 2024, 163, 102380
- Unfortunately, the abstract and related documents are not accessible.
Matrix Approach for Analyzing n-Site Generalized ASIP Systems: PGF and Site Occupancy Probabilities
- Authors: U. Yechiali, Y. Yeger
- Published in Mathematics, 2022, 10(23), 4624
- The paper likely presents a matrix-based approach for the analysis of generalized asymmetric simple inclusion process (ASIP) systems. It involves Probability Generating Functions (PGFs) and explores site occupancy probabilities. There’s one citation to this article.
Performance Measures in a Generalized Asymmetric Simple Inclusion Process
- Authors: Y. Yeger, U. Yechiali
- Published in Mathematics, 2022, 10(4), 594
- The paper discusses performance measures in a generalized asymmetric simple inclusion process. Unfortunately, the abstract and related documents are not accessible.
