Dvir Ross
Applied mathematician · Quantitative researcher · Academic lecturer
This web CV consolidates my current academic roles, research activity, and professional profile. It is intentionally shorter than a formal institutional CV.
Academic Lecturer & Researcher
Shenkar: Software Engineering
SCE (Sami Shamoon College of Engineering): Computer Science
Teaching, curriculum development, research, and supervision across algorithms, data science, mathematical foundations, and related quantitative subjects.
Curriculum & supervision
Coordinator of mathematics courses in Shenkar's Software Engineering Department, including development of Mathematical Logic, Discrete Mathematics, and Calculus 2.
Previously headed Ariel University's Computer Science Teaching Certificate program and developed study tracks for B.Sc. students and graduates.
2025–2026 highlights
Statistical Analysis for the Religious Laws of Abstinence before Menstruation, B.D.D. 38–40, pp. 59–74.
Presented work on Markov-chain modeling of basketball shooting patterns at the IEEE ADTM Conference, 2026.
Presented Data-Driven Risk-Adjusted Performance Analysis: A Structural Complement to Classical Risk-Adjusted Ratios at the IEEE ADTM Conference, 2026, with Nehoray Sade and Aviv Asraf.
Modeling Shooting Streaks with Markov Chains, Shenkar graduate research seminar.
Supervised the completed NavSight engineering capstone project in Software Engineering.
Academic background
Postdoctoral Research Fellow
Ben-Gurion University of the Negev
Approximation algorithms and optimization problems in communication systems.
Ph.D. in Applied Mathematics
Ariel University
Probabilistic and Statistical Analysis of the Menstrual Cycle with regard to Jewish Religious Laws.
M.Sc. in Applied Mathematics & Computer Science
Ariel University
Graduated magna cum laude.
B.Sc. in Computer Science
Jerusalem College of Technology
Computer Science.
Mathematics to empirical systems
Applied mathematics, probability, statistics, forecasting, and stochastic models
Algorithms, optimization, approximation algorithms, and data science
Quantitative research, backtesting, strategy validation, and systematic trading
Academic teaching, curriculum development, project supervision, and research mentoring
Academic excellence
Rector's List (faculty top 2%), M.Sc. with distinction, and excellence awards during Ph.D. studies.
Publications and research projects
For publications, current research areas, talks, and supervised projects, see the dedicated Academic Research section.