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  Refereed Papers

  1. Weiss, A., Ben-Hanan, U. & Salih, A., (2025), Dynamics Mimicking - Enabling Robot Operation for Wheelchair Users. IEEE Sensors Journal, doi: 10.1109/JSEN.2025.3559666. ​

  2. Salih, A., Roth, N., Buganim, O., Pelosi, A.D. (2024), A Low-Cost Open-Source Uniaxial Tensile System for Soft Tissue Testing. Hardware 2024, 2, 292-305.

  3. Salih, A., and Eisenstadt Matalon, E. (2024), Solving Multi-objective Robust Optimization Problems via Stakelberg-based Game Model. Swarm and Evolutionary Computation 91, 101734.

  4. Roth, N., Salih, A., and Rosenblum, S. (2024), Subjective and objective day-to-day performance measures of people with essential tremor. Sensors, 24(15), 4854.

  5. Salih, A., Gabbay, J., & Moshaiov, A. (2024). Transferability of multi-objective neuro-fuzzy motion controllers: Towards cautious and courageous motion behaviors in rugged Terrains. Mathematics, 12(7), 992.

  6. Salih, A., & Moshaiov, A. (2024). Neuro-evolution-based generic missile guidance law for many-scenarios. Applied Soft Computing, 152, 111210.

  7. Salih, A., & Moshaiov, A, (2022). Evolving topology and weights of specialized and non-specialized neuro-controllers for robot motion in various environments. Neural Computing and Applications.

  8. Salih, A., & Moshaiov, A. (2022). Promoting transfer of robot neuro-motion-controllers by many-objective topology and weight evolution. IEEE Transactions on Evolutionary Computation.

  9. Benyamin, O. B., Juvinao, D., Berlinsky, T., Salih, A., Solomonov, E., Waksman, I., & Biswas, S. (2022). Designing engineering solutions to surgical problems: how to translate physiology to biomechanics. Journal of The Institution of Engineers (India): Series C, 103(5), 1095–1102.

Conference Proceedings

  1. Salih, A., & Moshaiov, A. (2022). Benchmarking many-objective topology and weight evolution of neural networks: A study with NEWS/D. In the proceedings of the 2021 IEEE Symposium Series on Computational Intelligence, SSCI 2021, 1–6. 

  2. Moshaiov, A., & Salih, A. (2022). Multi-objective structure and parameter evolution of neuro-fuzzy systems. In the proceedings of the 2021 IEEE Symposium Series on Computational Intelligence, SSCI 2021. 01-07.

  3. Salih, A., & Moshaiov, A. (2021). Modified decomposition framework and algorithm for many-objective topology and weight evolution of neural networks. In the proceedings of the 2021 IEEE Congress on Evolutionary Computation (CEC), 1478–1485. 

  4. Salih, A., & Moshaiov, A. (2017). Multi-objective neuro-evolution: Should the main reproduction mechanism be crossover or mutation? In the proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC)2017, pp. 4585–4590. 

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