Ph.D. 2019 Mechanical Engineering, Tel-Aviv University, Tel-Aviv, Israel.
M.Sc. 1992 Mechanical Engineering, The Technion – Israel Institute of Technology, Haifa, Israel.
B.Sc. 1989 Mechanical Engineering, The Technion – Israel Institute of Technology, Haifa, Israel.
Refereed Papers
1. Salih, Adham, and Erella Eisenstadt Matalon (2025). Game-based multi-objective evolution of robust controllers. ISA transactions.
2. Salih, Adham, and Erella Eisenstadt Matalon (2024). Solving multi-objective robust optimization problems via Stakelberg-based game model. Swarm and Evolutionary Computation 91
3. Harel, Meir, Erella Eisenstadt‐Matalon, and Amiram Moshaiov (2022). Solving zero-sum multi-objective games with a-priori secondary criteria. Journal of Multi‐Criteria Decision Analysis, July, 1–21.
4. Eisenstadt-Matalon, E., & Moshaiov, A. (2022). Decision analysis of rationalizable strategies in non-zero-sum multi-payoff games. Intelligent Decision Technologies, 16.3 (2022): 487-504.
5. Eisenstadt, E., & Moshaiov, A. (2018). Decision-making in non-cooperative games with conflicting self-objectives. Journal of Multi‐Criteria Decision Analysis, 25(5-6), pp.130-141.
6. Eisenstadt, E., & Moshaiov, A. (2017). Novel Solution Approach for Multi-objective Attack-Defense Cyber Games with Unknown Utilities of the Opponent. IEEE Transactions on Emerging Topics in Computational Intelligence, 16–26.
7. Avigad G., Eisenstadt E., & Schuetze, O., (2012). Handling Changes of Performance-Requirements in Multi Objective Problems. Journal of Engineering Design, 23(8):597-617.
8. Avigad G., Eisenstadt E., Goldvard, A., and Salomon, S., (2012). Transient Responses' Optimization by Means of Set-based Multi-Objective Evolution. Engineering Optimization, 44(4):407-426.
9. Avigad G., Eisenstadt E., & Weiss M., (2011). Trajectory Planning for Multi UMVs under Reciprocal Constraints. Engineering Optimization, 43(12):1331-1350.
10. Avigad G. & Eisenstadt E. ,(2011). The Multi-Single Objective Problem and its Solution by way of Evolutionary Algorithms. Research in Engineering Design 22(2):87–102.
11. Avigad, G., Eisenstadt E., & Shnits B., (2011). Supporting the selection of robust engineering concepts under suppliers related uncertainties. Journal of Engineering Design, 22(8): 543-563.
12. Avigad G., Eisenstadt, E., & Schuetze, O., (2011). Design and Evolution of Robust-to-Market-Changes Sets of Solutions to Multi Objective Problems. Journal of Engineering Design, DOI: 10.1080/09544828.2011.630656, November 2011.
13. Avigad, G., Eisenstadt E., & Goldvard, A., (2010). Pareto Layer: Its Formulation and its Search by way of Evolutionary Multi-Objective Optimization. Engineering Optimization, 42(5): 453-470.
Conference Proceedings and Abstracts
1. Eisenstadt, E., & Moshaiov, A. Mutual Rationalizability in Vector-Payoff Games. In International Conference on Evolutionary Multi-Criterion Optimization, pp. 593-604. Springer, Cham, 2019.
2. Harel, M., Matalon-Eisenstadt, E., & Moshaiov, A. (2017). Solving Multi-objective Games using A-priori Auxiliary Criteria. In Evolutionary Computation (CEC), 2017 IEEE Congress on (pp. 1428–1435). IEEE.
3. Eisenstadt E., Moshaiov A, Avigad G. Co-evolution of strategies for multi-objective games under postponed objective preferences. In Computational Intelligence and Games (CIG), 2015 IEEE Conference on 2015 Aug 31 (pp. 461-468). IEEE.
4. Avigad G., Eisenstadt E., Valery Y. Glizer, (2012). Evolving a Pareto Front for an Optimal Bi-Objective Robust Interception Problem with Imperfect Information. A Bridge Between Probability, Set Oriented Numerics, and Evolutionary Computation II in Advances in Intelligent Systems and Computing 175, pp: 121-135. Springer, 2012.
5. Avigad G., Eisenstadt E., Shaul Salomon, and Frederico Gadelha Guimares, (2012). Evolution of Contours for Topology Optimization. A Bridge Between Probability, Set Oriented Numerics, and Evolutionary Computation II in Advances in Intelligent Systems and Computing 175, pp: 397-412. Springer, 2012.
Academic Appointments
2020-present Senior lecturer, ORT Braude College, Department of Mechanical Engineering.
Subjects: Control Systems, Elasticity, Measurements Systems & Sensors.
Teaching Experience
1. Kinematics
2. Dynamics
3. Solid Mechanics
4. Theory of Vibrations
5. Control Systems
6. Introduction to programing (MATLAB)