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

Algorithms for Finding Maximum Diversity of Design Variables in Multi-Objective Optimization.

Zadorojniy, A., Masin, M., Greenberg, L., Shir, O.M., Zeidner, L.
In Conference on Systems Engineering Research. Volume 8 of Procedia Computer Science. ,2012, Ed. ,Elsevier , Pages 171-176
2012

Niching in Evolutionary Algorithms

Shir, O.M.
Handbook of Natural Computing: Theory, Experiments, and Applications 2012 Pages 1035?1069
2012

Quantum Control Experiments as a Testbed for Evolutionary Multi-Objective Algorithms

Shir, O.M., Roslund, J., Leghtas, Z., Rabitz, H.
Genetic Programming and Evolvable Machines 2012 Volume 13 Issue 4 Pages 445?491
2012

Evolutionary Optimization of Rotational Population Transfer.

Rouzée, A., Ghafur, O., Vidma, K., Gijsbertsen, A., Shir, O.M., Bäck, T., Meijer, A., van der Zande, W.J., Parker, D., Vrakking, M.J.J.
Physical Review A 2011 Volume 84 Issue 3 Pages 033415
2011

Fidelity Between Unitary Operators and the Generation of Gates, Robust Against Off-Resonance Perturbations.

Cabrera, R., Shir, O.M., Wu, R., Rabitz, H.
Journal of Physics A: Mathematical and Theoretical 2011 Volume 44 Issue 9 Pages 095302
2011

Multiobjective Adaptive Feedback Control of Two-Photon Absorption Coupled with Propagation through a Dispersive Medium.

Laforge, F.O., Roslund, J., Shir, O.M., Rabitz, H.
Physical Review A 2011 Volume 84 Issue 1 Pages 013401
2011

Control of Nirtomethane Photoionization Efficiency with Shaped Femtosecond Pulses.

Roslund, J., Shir, O.M., Dogariu, A., Miles, R., Rabitz, H.
The Journal of Chemical Physics 2011 Volume 134 Issue 15 Pages 154301
2011

A Reduced-Cost SMS-EMOA Using Kriging, Self-Adaptation, and Parallelization.

Klinkenberg, J.W., Emmerich, M., Deutz, A., Shir, O.M., Bäck, T.
In Multiple Criteria Decision Making for Sustainable Energy and Transportation Systems: Volume 634 of Lecture Notes in Economics and Mathematical Systems. ,2010, Ed. ,Springer Berlin Heidelberg , Pages 301?311
2010

Adaptive Niche-Radii and Niche-Shapes Approaches for Niching with the CMA-ES

Shir, O.M., Emmerich, M., Bäck, T.
Evolutionary Computation 2010 Volume 18 Issue 1
2010

Forced Optimal Covariance Adaptive Learning: Modified CMA-ES for Efficient Hessian Determination.

Shir, O.M., Roslund, J., Rabitz, H.
In Proceedings of the Genetic and Evolutionary Computation Conference, GECCO-2010 ,2010, Ed. ,ACM Press New York, NY, USA, Pages 421?422
2010

Accelerated Optimization and Automated Discovery with Covariance Matrix Adaptation for Experimental Quantum Control

Roslund, J., Shir, O.M., Bäck, T., Rabitz, H.
Physical Review A (Atomic, Molecular, and Optical Physics) 2009 Volume 80 Issue 4 Pages 043415
2009

Enhancing Decision Space Diversity in Evolutionary Multiobjective Algorithms.

Shir, O.M., Preuss, M., Naujoks, B., Emmerich, M.
In Proceedings of Evolutionary Multi-Criterion Optimization: Fifth International Conference (EMO 2009). Volume 5467 of Lecture Notes in Computer Science. ,2009, Ed. ,Springer , Pages 95?109
2009

Evolutionary Multi-Objective Quantum Control Experiments with the Covariance Matrix Adaptation.

Shir, O.M., Roslund, J., Rabitz, H.
In Proceedings of the Genetic and Evolutionary Computation Conference, GECCO-2009 ,2009, Ed. ,ACM Press New York, NY, USA, Pages 659?666
2009

Niching Methods: Speciation Theory Applied for Multi-modal Function Optimization

Shir, O.M., Bäck, T.
In Algorithmic BioProcesses ,2009, Anne Condon, David Harel, Joost N. Kok, Arto Salomaa, Erik Winfree Ed. ,Springer Berlin Heidelberg , Pages 705-729
2009

Niching with Derandomized Evolution Strategies in Artificial and Real-World Landscapes.

Shir, O.M., Bäck, T.
Natural Computing: An International Journal 2009 Volume 8 Issue 1 Pages 171?196
2009

Conceptual Designs in Laser Pulse Shaping Obtained by Niching in Evolution Strategies.

Shir, O.M., Emmerich, M., Bäck, T., Vrakking, M.J.
In Evolutionary and Deterministic Methods for Design, Optimization and Control. A Series of Handbooks on Theory and Engineering Applications of Computational Methods ,2008, CIMNE Ed. ,CIMNE , Pages 152?157
2008

Control of Quantum Dynamics by Optimized Measurements.

Shuang, F., Zhou, M., Pechen, A., Wu, R., Shir, O.M., Rabitz, H.
Physical Review A (Atomic, Molecular, and Optical Physics) 2008 Volume 78 Issue 6 Pages 063422
2008

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