Computational Intelligence

We are interested in learning and optimization questions related to systems within the Natural Sciences. Our group is especially interested in Machine/Statistical Learning and Global Optimization aspects of experimental domains, that is, practical physical-, life- and agro-sciences search-problems whose simulated models are unavailable and thus require real-world experimentation.

Prof. Ofer Shir

Title
Overview

We are primarily interested in Operational Research and Machine Learning aspects of experimental domains, that is, algorithmic design for practical physical- and life-sciences problems whose computerized models are unavailable or too expensive to be executed, and thus require real-world measurements when applying search/learning.

We foresee Computational Intelligence algorithms as facilitators that will assist experimental scientists in achieving optimal behavior of their systems and in identifying targeted phenomena. Our long-term research plan is to establish algorithmically-guided discovery tools for bio-systems. A primary pathway, adhering to this plan, is actively to devise specific algorithms for experimental optimization and learning of specific bio-systems.

Enlisted below are ongoing research projects at the Shir group:

  • Experimental combinatorial optimization of protein expression systems (with Dr. Noy/Migal)
  • Precision agriculture: geo-statistical learning (with Prof. Litaor/Migal)
  • Benchmarking randomized search heuristics (with Dr. Doerr/Sorbonne and Prof. Bäck/Leiden-U)
  • Effective Detection of Foliage Diseases in Vineyards (with Dr. Sharon/Migal)
  • Deep Learning of a Complementary Ensemble of Sporadic Input Maps (with Prof. Linker/Technion-IIT and Dr. Chen/Migal)

Principal Researcher

Prof. Ofer Shir

Prof. Ofer Shir
Computational Intelligence
972-4-7700527

The advent of modern laboratory and field experiments, as well as of computerized systems, enables researchers to control experiments and analyze their big-data in high-speed rates.

Team

Assaf Israeli

B.Sc. 2010, Tel-Hai College. Israel
Research assistant and M.Sc. candidate

Naama Horesh

Research assistant
B.Sc. 2017, Ben-Gurion University, Israel

Collaborations

Funding

Latest Publications

Locating the local minima in lens design with machine learning

Kononova, A.V., Shir, O.M., Tukker, T., Frisco, P., Zeng, S., Bäck, T.
Current Developments in Lens Design and Optical Engineering XXII 11814, 1181402
2021

Addressing the Multiplicity of Solutions in Optical Lens Design as a Niching Evolutionary Algorithms Computational Challenge

Kononova, A.V., Shir, O.M., Tukker, T., Frisco, P., Zeng, S., Bäck, T.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, GECCO-2021, New York, NY, USA, ACM Press (2021) 1596–1604
2021

Introductory Mathematical Programming for EC

Shir, O.M.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, GECCO-2021, New York, NY, USA, ACM Press (2021)
2021

Sequential Experimentation by Evolutionary Algorithms

Shir, O.M., Bäck, T.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, GECCO-2021, New York, NY, USA, ACM Press (2021)
2021

Contact Information

Research Group Leader
Prof. Ofer Shir
972-4-7700527
ofers@migal.org.il

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