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<meta name="Description" content="Ofer Shir, Computer Science, Tel-Hai College" />
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<title>Research Materials, Prof. Ofer M. Shir</title>
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<h1 id="logo"><a href="index.html" title=""><span class="gray">Ofer M. Shir </a></h1>
<h2 id="slogan">Associate Professor of Computer Science, Tel-Hai College and Migal Institute</h2>
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<img src="./images/IMG_3364.png" width=520px alt="Prof. Ofer M. Shir">
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<h1> social web</h1>
<ul>
<li><label> <a href= "https://orcid.org/0000-0002-8257-5160" target="_new">ORCID </a></label></li>
<li><label> <a href= "https://linkedin.com/in/ofer-shir-2ba2a91" target="_new">LinkedIn </a></label></li>
<li><label> <a href= "https://scholar.google.co.il/citations?user=ZGlwR1EAAAAJ&hl=en" target="_new">Google Scholar </a></label></li>
<li><label> <a href= "https://dl.acm.org/author_page.cfm?id=81100165304" target="_new">ACM's Digital Library </a></label></li>
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<h1>Research Materials and Presentations </h1>
<ul>
<li> Overcoming Coupon Collector's Syndrome when Optimizing Multimodal Domains (MMMOO workshop at PPSN-2024; Hagenberg, Upper Austria, September 2024) <a href="ShirOM_PPSN_MMMOO.pdf" target="_new">pdf</a></li>
<li> Introductory Mathematical Programming for EC (PPSN-2024 tutorial; Hagenberg, Upper Austria, September 2024) <a href="IntroMathProg4EC_ppsn2024_ShirOM.pdf" target="_new">pdf</a></li>
<li> Addressing Unboundedness in Quadratically-Constrained Mixed-Integer Problems (arXiv preprint with Guy Zepko) <a href="https://arxiv.org/abs/2405.05978" target="_new">arXiv</a> </li>
<li> Avoiding Redundant Restarts in Multimodal Global Optimization (arXiv preprint with Jacob de Nobel, Diederick Vermetten, Anna V. Kononova, and Thomas Bäck) <a href="https://arxiv.org/abs/2405.01226" target="_new">arXiv</a> </li>
<li> Veysel Kocaman, Learning from small samples. Doctoral Thesis Universiteit Leiden (joint supervision with Thomas Bäck, 2024): <a href="https://hdl.handle.net/1887/3719613" target="_new">dissertation Leiden-U</a></li>
<li> On the Behavior of the Mixed-Integer SMS-EMOA (GECCO'23 AABOH workshop presentation; Lisbon, Portugal, July 2023) <a href="gecco2023_AABOH-ShirOM.pdf" target="_new">pdf</a></li>
<li> Mind the Gap (Dagstuhl Seminar on Challenges in Benchmarking Optimization Heuristics, 23251, June 2023) <a href="MindTheGap_presentationDagstuhl23251_ShirOM.pdf" target="_new">pdf</a></li>
<li> Towards AI Research Agents in the Chemical Sciences (ChemRxiv preprint) <a href="https://chemrxiv.org/engage/chemrxiv/article-details/65ae48a466c1381729009633" target="_new">ChemRxiv</a></li>
<li> Lessons Learned Report: Super-Resolution for Detection Tasks in Engineering Problem-Solving <a href="https://arxiv.org/abs/2303.00364" target="_new">arXiv</a> </li>
<li> GWANN: Implementing deep learning in genome wide association studies (bioRxiv preprint with Nimrod Ashkenazy, Martin Feder, and Sariel Hubner) <a href="https://www.biorxiv.org/content/10.1101/2022.06.01.494275v1?rss=1" target="_new">bioRxiv</a> </li>
<li> Sequential Experimentation by Evolutionary Algorithms (GECCO'22 joint tutorial with Thomas Bäck; Boston MA, USA, July 2022) <a href="https://doi.org/10.1145/3520304.3533631" target="_new">ACM/dL</a></li>
<li> Algorithmically-Guided Postharvest by Experimental Combinatorial Optimization (GECCO'22 Presentation, July 2022) <a href="gecco2022_ShirOM.pdf" target="_new">pdf</a></li>
<li> Toward an ImageNet Library of Functions for Global Optimization Benchmarking (arXiv preprint with Boris Yazmir) <a href="https://arxiv.org/abs/2206.13630" target="_new">arXiv</a> </li>
<li> Ido Dan, Developing models for soil texture classification from ancillary data using machine learning. MSc Thesis Tel-Hai College (joint supervision with Iggy Litaor, 2022): <a href="IdoDan_MScDissertation_web.pdf" target="_new">dissertation for download</a></li>
<li> Assaf Israeli, Multiobjective Optimization of Soil Sampling Design Using Information Metrics. MSc Thesis Tel-Hai College (joint supervision with Iggy Litaor, 2020): <a href="AssafIsraeli_MScDissertation_web.pdf" target="_new">dissertation for download</a></li>
<li> Chen Erlich, Experimental Combinatorial Optimization of Phycobiliproteins' Expression in E.coli. MSc Thesis Tel-Hai College (joint supervision with Dror Noy, 2019): <a href="ChenErlich_MScDissertation_web.pdf" target="_new">dissertation for download</a></li>
<li> Compiling a Benchmarking Test-Suite for Combinatorial Black-Box Optimization: A Position Presentation (GECCO'18, July 2018) <a href="CombinatorialBenchmarking_PresentationGECCO2018_ShirOM.pdf" target="_new">pdf</a></li>
<li> Fundamentals of ESs' Statistical Learning (Dagstuhl Seminar on Theory of Randomized Optimization Heuristics, 17191, May 2017) <a href="dagstuhl17191_ShirOM.pdf" target="_new">pdf</a></li>
<li> On the Covariance-Hessian Relation in Evolution Strategies (arXiv preprint with Amir Yehudayoff) <a href="https://arxiv.org/abs/1806.03674" target="_new">pdf</a></li>
<li> On the Statistical Learning Ability of Evolution Strategies (Foundations of Genetic Algorithms Workshop FOGA-XIV, January 2017) <a href="Shir-Yehudayoff_FOGA2017copenhagen15012017.pdf" target="_new">pdf</a></li>
<li> Computational Intelligence in the Natural Sciences: Machine Learning, Optimization, and Heuristic Search (Princeton University Seminar, July 2016) <a href="Shir_PrincetonColloquium-July2016.pdf" target="_new">pdf</a></li>
<li> Pareto Automated Recommendation (LIACS Colloquium, Dec. 2014) <a href="MORecommendation.pdf" target="_new">pdf</a></li>
<li> On Parameterizations and Randomized Search Heuristics in Computationally-Expensive Quantum Control Simulations <a href="oshir_DES-QC.pdf" target="_new">pdf</a></li>
<li> Doctoral Thesis: <a href="OferMichaelShir_PhDmanuscript.pdf" target="_new">manuscript for download</a></li>
</ul>
<h1>Links</h1>
<ul>
<li> <a href="https://ppsn2024.fh-ooe.at/" target="_new">PPSN 2024: The 18th International Conference on Parallel Problem Solving From Nature</a>, Hagenberg, Austria, September 2024; <a href="https://ppsn2024.fh-ooe.at/program/" target="_new">MathProg Tutorial</a></li>
<li> <a href="https://www.jyu.fi/en/study-with-us/summer-and-winter-schools/jyvaskyla-summer-school" target="_new">JSS 2024: The 33rd Jyväskylä Summer School </a>, Jyväskylä, Finland, August 2024; <a href="https://www.jyu.fi/en/study-with-us/summer-and-winter-schools/jyvaskyla-summer-school/jyvaskyla-summer-school-course-programme" target="_new">COM3: Introduction to Quantum Computing</a></li>
<li> <a href="https://gecco-2024.sigevo.org/Workshops#QuantOpt" target="_new">GECCO 2024: The Genetic and Evolutionary Computation Conference</a>, Melbourne, Australia, July 2024; <a href="https://sites.google.com/view/quantopt2024" target="_new">3rd Quantum Optimization Workshop</a></li>
<li> <a href="https://roar-net.eu/#news" target="_new">COST Action 22137: Randomised Optimisation Algorithms Research Network (ROAR-NET)</a> (MC Member IL; WG 2)</li>
<li> <a href="https://gecco-2023.sigevo.org/HomePage" target="_new">GECCO 2023: The Genetic and Evolutionary Computation Conference</a>, Lisbon, Portugal, July 2023; <a href="https://gecco-2023.sigevo.org/Tracks#ENUM%20-%20Evolutionary%20Numerical%20Optimization" target="_new">ENUM Track</a></li>
<li> <a href="https://www.dagstuhl.de/23251" target="_new">Dagstuhl Seminar on Challenges in Benchmarking Optimization Heuristics</a> (23251, June 2023)</li>
<li> <a href="https://emo2023.liacs.leidenuniv.nl/" target="_new">EMO 2023: Evolutionary Multi-Criterion Optimization</a> ,Leiden University, March 2023.</li>
<li> IOHprofiler: Iterative Optimization Heuristics Profiler: <a href="http://iohprofiler.liacs.nl/" target="_new"> web tool</a>, <a href="https://github.com/IOHprofiler" target="_new"> GitHub</a>, <a href="IOHprofiler-flyer.pdf" target="_new">flyer</a> </li>
<li> <a href="https://www.dagstuhl.de/19431" target="_new">Dagstuhl Seminar on Theory of Randomized Optimization Heuristics</a> (19431, October 2019)</li>
<li> <a href="https://www.dagstuhl.de/17191" target="_new">Dagstuhl Seminar on Theory of Randomized Optimization Heuristics</a> (17191, May 2017)</li>
<li> <a href="https://imappnio.dcs.aber.ac.uk/" target="_new">COST Action 15140: Improving Applicability of Nature-Inspired Optimisation by Joining Theory and Practice (ImAppNIO)</a> (MC Member IL; WG 3)</li>
<li> <a href="./NichingES/" target="_new">Niching in Evolution Strategies: An Introduction</a> (old page summarizing doctoral work on multimodal optimization)</li>
<li> <a href="https://liacs.leidenuniv.nl/" target="_new"> Leiden Institute of Advanced Computer Science (LIACS)</a></li>
<li> <a href="https://www.universiteitleiden.nl/en/staffmembers/thomas-back" target="_new">Natural Computing Group at LIACS</a> (PhD Advisor I: Prof. Thomas Bäck)</li>
<li> <a href="https://www.amolf.nl/" target="_new">AMOLF Amsterdam</a> (PhD Advisor II: Prof. Marc Vrakking)</li>
<li> <a href="https://chemistry.princeton.edu/faculty/herschel-rabitz/" target="_new">Rabitz Group, Princeton University</a> (Postdoc Host: Prof. Herschel Rabitz)</li>
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