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Given nameFamily nameActive research areasPersonal webpageComments
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Prof.NoaAgmonMulti-robot systems: collaborative mission planning, swarm robotics, competition and manipulation in adversarial settings (including game-theoretic analysis), Multiagent systems (coordination, ad hoc teamwork, RL)https://u.cs.biu.ac.il/~agmon/Looking for students with a strong theoretical background
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Prof.AmihoodAmirPattern Matching Algorithmshttps://u.cs.biu.ac.il/~amir/
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Prof.YaelAmsterdamer
Data Management: development of solutions (practical and algorithmic) for data science. Web data, data on collaborative platforms,
distributed data and crowdsourced data.
https://u.cs.biu.ac.il/~amstery/
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Dr.GiladAsharovcryptography, secure multi-party computationhttps://u.cs.biu.ac.il/~asharog/Looking for excellent full time students - strong background in theory.
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Prof.YonatanAumannTheory of Multi agent system, computational social choice, computational economicshttps://sites.google.com/site/aumannbiu/homeAccepting a very few students. Must be with excellent mathematics skills.
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Prof.IdoDaganNatural Language Processing, open semantic representations and inference for single and multiple texts, text summarizationhttps://u.cs.biu.ac.il/~dagani/
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Dr.TalyaEdenMainly Theoretical and some practical algorithms: Sublinear time and space algorithms for graphs and social networks, differentially private algorithms, lower bounds, and more.
https://sites.google.com/view/edentalya/home
Looking for excellent students with enthusiasm for algorithms and theory.
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Dr.EstherEzraComputational Geometry, Discrete Geometry, Algebraic Geometry, Approximation Algorithms, Discrepancy Theory, Combinatorics and Probability.
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Dr.ArnoldFiltserTheoretical computer science: metric Spaces, low-distortion embeddings, graph algorithms, randomized algorithms, approximationhttps://arnold.filtser.com/Looking for excelent students with enthusiasm for theory.
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Dr.OrenGlickman
My research focuses on extracting structured knowledge from unstructured text, using techniques like information extraction and knowledge representation. I also explore how large
language models store and retrieve knowledge, aiming to improve their utility in solving real-world problems. In addition, I conduct research in climate, sustainability, and agriculture,
addressing large-scale data challenges that require novel or non-trivial algorithmic solutions.
https://u.cs.biu.ac.il/~glikmao/I may be open to additional MSc students if you have an interesting idea that falls within my areas of interest
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Prof.YoavGoldbergAlgorithms that process human languages (NLP), using various techniques including machine learning. Interpretability of machine learning models, empirical theory of machine learning for human languages.https://www.cs.biu.ac.il/~yogoAccepting very few students. Students need to be independent. Should have strong algorithmic skills and strong implementation skiils. Should have interest in human languages.
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Prof.AvinatanHassidimAlgorithmic Game Theory, Mechanism Design, Computatonal Economics and Social Choicehttps://u.cs.biu.ac.il/~avinatan/Accepting a small number of students, with strong mathematical background
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Prof.GalKaminkaSwarms: nano-robots, game theory models, reinforcement learning in robot swarms; human cognitive modeling, planning and plan recognition (in cybersecurity especially), learning behavior from data, planning for robots, AIhttp://www.cs.biu.ac.il/~galk/
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Prof.TaliKaufmantheory of computation, high dimensional expanders, stability of classical and quantum codes;
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Prof.Tsvi Kopelowitzwebpage: nonehttps://sites.google.com/site/kopelot/home
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Prof.SaritKrausHer research is focused on intelligent agents and multi-agent systems integrating machine-learning techniques with optimization and game theory methods. In particular, she studies the development of intelligent agents that can interact proficiently with people and with robots. https://u.cs.biu.ac.il/~krauss/Looking for excellent full time students.
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Dr. ArielNof Applied cryptography, secure protocols https://u.cs.biu.ac.il/~nofarie/
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Prof.YaronOrensteinComputational Biology and Bioinformatics. Specifically, applications of deep neural networks to genomic data and
algorithms for DNA sequence analysis.
https://yorenstein.wixsite.com/orensteinlabNo need for biological background
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Prof.DoronPeledFormal Methods, Runtime Verification, Software Testing, Model Checking, Concurrency Theory, Program Synthesis.https://u.cs.biu.ac.il/~peledd/
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Prof.ElyPoratAlgorithms and Data StructuresSearching for student which will continue to Ph.d
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Prof.LiamRodittyAlgorithms and Data Structures mainly in graphs
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Prof.DavidSarneIntelligent user-agent and user-robot interaction; mechanism design for multi-agent systems (contets design, voting, collaborative search, auctions, etc.); crowdsourcing and human-computationhttp://sarnelab.com/
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Dr.UriShahammachine learning, deep learning, representation learning, data science, applied statisticsRequirements: solid mathematical background, very good coding skills,
Independence and problem solving skills, high level of commitment,
present at least 3 days/week.
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Dr. AlexShleyfmanAutomated planning and sequential decision making, with focus on heuristic search and combinatorial optimization
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Prof.ReutTsarfatynatural language processing, computational linguistics, artificial intelligence
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Dr.EylonYogevCrypto and Cybersecurityhttps://www.eylonyogev.com/
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Prof.NathanNetanyahuImage Processing (e.g,Image Matching, image Registration). Algorithmic Pattern Recognition
https://scholar.google.com/citations?hl=iw&user=xPv701UAAAAJ
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Dr.YoniZoharAutomated Reasoning and Formal Verification: Developing methods for automated theorem proving and satisfiability testing, proving correctness of such approaches, and applying them to applications.https://u.cs.biu.ac.il/~zoharyo1/
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Prof.EladYom-Tov The intersection of Machine Learning and medicine, with an emphasis on using internet data to study health and to improve it.
Additionally, the use of Reinforcement Learning for adaptive interventions to induce behavior change.
: http://www.yom-tov.info/Students should be interested in the intersection of human behavior
and algorithms and have strong algorithmic and implementation skills.
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Prof.GalChechikareas Few-shot learning, Vision-and-language, Generative AI (text-to-contetn)https://chechiklab.biu.ac.il/Only special cases
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Dr.Hadar Frenkelformal methods, verification, hyperproperties, temporal logics and specification languages, model checking, automata theory
and in particular automata learning and its applications
https://finkbeiner.groups.cispa.de/people/frenkel.html
looking for students with strong theoretical background, that are interested in the intersection between
theory and applications.
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Dr.IdanSchwartz
Multimodal models, Attention mechanisms, Large language models (LLMs), Generative AI, Explainability, Perceptual bias
and plug-and-play control
https://idansc.github.io/Candidates should possess strong practical knowledge of deep learning (DL), exhibit independent creative
thinking, and demonstrate an interest in recent state-of-the-art applications.
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Dr.Yanai ElazarInterpretability, analysis and evaluation of generative models (LLMs, text-to-image model, etc.), model biases.https://yanaiela.github.io/Students should be independent, motivated, and curious about language, vision, and understanding the mechanisms by which AI models work. Strong coding skills.
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Dr.AmitSomech
Automated Data Analysis, Data Science, and Knowledge Extraction, as well as additional topics in the intersection between Data Management & Machine Learning
https://u.cs.biu.ac.il/~somecha/
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Dr.EliadTsfadiaData privacy (differential privacy) and its intersections with cryptography and machine learning.https://sites.google.com/view/eliadtsfadiaCandidates should demonstrate strong mathematical maturity and excellent abilities in probability and algorithms. A solid background in crypto or machine learning is an advantage.
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