Dr. Ofer Shir

Dr. Ofer Shir
Principal Investigator
Senior Lecturer, Department Head
PhD
Experimental Optimization and Scientific Informatica
Phone
972-4-7700527
Research interests:

Computational Intelligence, Experimental Optimization, Statistical Learning, Theory of Randomized Search Heuristics, Quantum ML

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. Yet, algorithmic design of intelligent experiments for optimization and learning of prescribed objectives may constitute the next level. Very little is known today about the general usefulness of optimization heuristics and statistical learning methods in laboratory experiments, about their strengths and weaknesses when compared to traditional Design-of-Experiments approaches, or about any kind of guidelines which approach to prefer, depending upon the dimensionality of the search-space, the levels of uncertainty and the number of available trials.

We are interested in learning and optimization questions related to systems within the Natural Sciences. In particular, Operational Research and Machine Learning aspects of experimental domains, that is, practical physical- and life-sciences problems whose computerized models are unavailable or too expensive to be executed, and thus necessitate real-world experiments toward the end of their global optimization.
We have specific interest in the realms of Chemistry and Bio-Molecules' Production; Our targeted family of methodologies stem from Computational Intelligence, and especially Natural Computing.

Our current activities include Experimental Combinatorial Optimization (with Dr. Noy), Benchmarking Randomized Search Heuristics (with Prof. Bäck and Dr. Doerr), Geo-Statistical Learning (with Prof. Litaor), Effective Detection of Foliage Diseases in Vineyards (with Dr. Sharon), and Deep Learning of a Complementary Ensemble of Sporadic Input Maps (with Prof. Linker and Dr. Chen).

CV

Education

2008-2010 Postdoctoral Research Associate, Chemistry Department, Princeton University, USA
2008 Ph.D., Computer Science, Leiden University, The Netherlands
2004 M.Sc., Computer Science, Leiden University, The Netherlands
2003 B.Sc., Physics and Computer Science, The Hebrew University of Jerusalem, Israel

Academic and research positions

2019- Head, Department of Computer Science, Tel-Hai College
2016- Senior Lecturer, Department of Computer Science, Tel-Hai College
2013- Principal Investigator, MIGAL-Galilee Research Institute
2012-2016, Faculty Lecturer, Department of Computer Science, Tel-Hai College
2010-2013, Research Staff Member, IBM-Research

Scientific Publications

Evolutionary Algorithms for Real-World Applications [Application Notes].

Bäck, T., Emmerich, M., Shir, O.M.
Computational Intelligence Magazine IEEE 2008 Volume 3 Issue 1 Pages 64?67
2008

Mixed-Integer Evolution Strategies with Dynamic Niching.

Li, R., Eggermont, J., Shir, O.M., Emmerich, M., Bäck, T., Dijkstra, J., Reiber, J.
In Parallel Problem Solving from Nature - PPSN X. Volume 5199 of Lecture Notes in Computer Science. ,2008, Ed. ,Springer , Pages 246?255
2008

Niche Radius Adaptation with Asymmetric Sharing.

van der Goes, V., Shir, O.M., Bäck, T.
In Parallel Problem Solving from Nature - PPSN X. Volume 5199 of Lecture Notes in Computer Science. ,2008, Ed. ,Springer , Pages 195?204
2008

Classification of Cell Fates with Support Vector Machine Learning.

Shir, O.M., Raz, V., Dirks, R.W., Bäck, T.
In Evolutionary Computation,Machine Learning and Data Mining in Bioinformatics. EvoBIO 2007. Lecture Notes in Computer Science ,2007, Marchiori E., Moore J.H., Rajapakse J.C. Ed. ,Springer Berlin Heidelberg, Pages 258?269
2007

Gaining Insight into Laser Pulse Shaping by Evolution Strategies.

Shir, O.M., Kok, J.N., Vrakking, M.J., Bäck, T.
In Bio-inspired Modeling of Cognitive Tasks. IWINAC 2007. Lecture Notes in Computer Science ,2007, Mira J., Álvarez J.R. Ed. ,Springer Berlin, Heidelberg, Pages 467?477
2007

On the Scalability of Evolution Strategies in the Optimization of Dynamic Molecular Alignment.

Shir, O.M., Vrakking, M.J., Bäck, T.
In Proceedings of the Genetic and Evolutionary Computation Conference, GECCO-2007 ,2007, ACM Press Ed. ,ACM Press New York, NY, USA, Pages 2266?2266
2007

Performance Analysis of Niching Algorithms Based on Derandomized ES Variants.

Shir, O.M., Bäck, T.
In Proceedings of the Genetic and Evolutionary Computation Conference, GECCO-2007 ,2007, ACM Press Ed. ,ACM Press New York, NY, USA, Pages 705?712
2007

Self-Adaptive Niching CMA-ES with Mahalanobis Metric.

Shir, O.M., Emmerich, M., Bäck, T.
In Proceedings of the 2007 IEEE Congress on Evolutionary Computation (CEC) ,2007, IEEE Computational Intelligence Society Ed. ,IEEE , Pages
2007

The Application of Evolutionary Multi-Criteria Optimization to Dynamic Molecular Alignment.

Shir, O.M., Emmerich, M., Bäck, T., Vrakking, M.J.
Proceedings of the 2007 IEEE Congress on Evolutionary Computation (CEC), IEEE Computational Intelligence Society 2007 Pages 4108?4115
2007

The Second Harmonic Generation Case Study as a Gateway for ES to Quantum Control Problems.

Shir, O.M., Bäck, T.
In Proceedings of the Genetic and Evolutionary Computation Conference, GECCO-2007, ,2007, ACM Press Ed. ,ACM Press New York, NY, USA, Pages 713?721
2007

Evolutionary Algorithms in the Optimization of Dynamic Molecular Alignment

Shir, O.M., Siedschlag, C., Bäck, T., Vrakking, M.J.
In Proceedings of the 2006 IEEE World Congress on Computational Intelligence ,2006, IEEE Computational Intelligence Society Ed. ,IEEE , Pages 9817?9824
2006

Evolutionary Algorithms in the Optimization of Dynamic Molecular Alignment.

Siedschlag, C., Shir, O.M., Bäck, T., Vrakking, M.J.J.
Evolutionary Computation 2006 Volume 264 Pages 511-518
2006

Learning the Complete-Basis-Functions Parameterization for the Optimization of Dynamic Molecular Alignment by ES.

Shir, O.M., Kok, J.N., Bäck, T., Vrakking, M.J.
In Intelligent Data Engineering and Automated Learning ? IDEAL 2006. IDEAL 2006. Lecture Notes in Computer Science ,2006, Corchado E., Yin H., Botti V., Fyfe C. Ed. ,Springer Berlin, Heidelberg, Pages 410?418
2006

Niche Radius Adaptation in the CMA-ES Niching Algorithm.

Shir, O.M., Bäck, T.
In Parallel Problem Solving from Nature - PPSN IX. Lecture Notes in Computer Science ,2006, Runarsson T.P., Beyer HG., Burke E., Merelo-Guervós J.J., Whitley L.D., Yao X. Ed. ,Springer Berlin, Heidelberg, Pages 142?151
2006

Niching in Evolution Strategies and its Application to Laser Pulse Shaping.

Shir, O.M., Siedschlag, C., Bäck, T., Vrakking, M.J.
In Proceeding EA'05 Proceedings of the 7th international conference on Artificial Evolution ,2006, Springer Ed. ,Springer Berlin, Heidelberg, Pages 85?96
2006

The Complete-Basis-Functions Parameterization in ES and its Application to Laser Pulse Shaping.

Shir, O.M., Siedschlag, C., Bäck, T., Vrakking, M.J.
In Proceedings of the Genetic and Evolutionary Computation Conference, GECCO-2006, ,, ACM Press Ed. ,ACM Press New York, NY, USA,, Pages 1769?1776
2006

Dynamic Niching in Evolution Strategies with Covariance Matrix Adaptation.

Shir, O.M., Bäck, T.
In Proceedings of the 2005 Congress on Evolutionary Computation CEC-2005 ,2005, IEEE Ed. ,IEEE Press Piscataway, NJ, USA, Pages 2584?2591
2005

Niching in Evolution Strategies

Shir, O.M., Bäck, T.
In Proceedings of the Genetic and Evolutionary Computation Conference, GECCO-2005, ,2005, ACM Ed. ,ACM Press New York, NY, USA, Pages 915?916
2005

Performance Analysis of Derandomized Evolution Strategies in Quantum Control Experiments.

Shir, O.M., Roslund, J., Bäck, T., Rabitz, H.

Review of "Christian Blum and Günther R. Raidl: Hybrid metaheuristics ? powerful tools for optimization"

Shir, O.M.
Genetic Programming and Evolvable Machines Volume 19 Issue 1-2 Pages 309-311