Tami Tamir

Last updated

Tamar (Tami) Tamir (born 1968) is an Israeli computer scientist specializing in approximation algorithms and algorithmic mechanism design, especially for problems in resource allocation, scheduling, and packing problems. She is a professor in the Efi Arazi School of Computer Science of Reichman University. [1]

Contents

Education and career

Tamir was born in 1968, and graduated in 1992 from the Technion – Israel Institute of Technology with a bachelor's degree in computer science. She continued at the Technion for graduate study, earning a master's degree in 1995 and completing her Ph.D. in 2001. [2] Her doctoral dissertation, Class-Constrained Resource Allocation Problems, was supervised by Hadas Shachnai. [2] [3]

While still a graduate student, Tamir worked at Intel, in the Israel Software Lab, from 1994 to 1997, and had a summer position at Hewlett-Packard. After postdoctoral research at the Technion and the University of Washington, Tamir joined the Efi Arazi School of Computer Science of Reichman University in 2004. She was vice-dean of the school from 2008 to 2012, and dean from 2012 to 2017. [2]

Selected publications

Related Research Articles

<span class="mw-page-title-main">Russell Impagliazzo</span> American computer scientist

Russell Graham Impagliazzo is a professor of computer science at the University of California, San Diego, specializing in computational complexity theory.

<span class="mw-page-title-main">Reichman University</span> Private research university in Herzliya, Israel

Reichman University is Israel's only private university, located in Herzliya, Tel Aviv District. It was founded in 1994 as the IDC Herzliya private college, before being rebranded in 2021.

In computer science, lattice problems are a class of optimization problems related to mathematical objects called lattices. The conjectured intractability of such problems is central to the construction of secure lattice-based cryptosystems: Lattice problems are an example of NP-hard problems which have been shown to be average-case hard, providing a test case for the security of cryptographic algorithms. In addition, some lattice problems which are worst-case hard can be used as a basis for extremely secure cryptographic schemes. The use of worst-case hardness in such schemes makes them among the very few schemes that are very likely secure even against quantum computers. For applications in such cryptosystems, lattices over vector space or free modules are generally considered.

Amos Fiat is an Israeli computer scientist, a professor of computer science at Tel Aviv University. He is known for his work in cryptography, online algorithms, and algorithmic game theory.

<span class="mw-page-title-main">Noam Nisan</span> Israeli computer scientist

Noam Nisan is an Israeli computer scientist, a professor of computer science at the Hebrew University of Jerusalem. He is known for his research in computational complexity theory and algorithmic game theory.

Ilan Sadeh is an Israeli IT theoretician, entrepreneur, and human rights activist. He holds the position of Associate Professor of Computer Sciences and Mathematics at the University for Information Science and Technology "St. Paul The Apostle" in Ohrid, North Macedonia.

Truthful job scheduling is a mechanism design variant of the job shop scheduling problem from operations research.

Julia Chuzhoy is an Israeli mathematician and computer scientist at the Toyota Technological Institute at Chicago, known for her research on approximation algorithms and graph theory.

<span class="mw-page-title-main">Sum coloring</span>

In graph theory, a sum coloring of a graph is a labeling of its vertices by positive integers, with no two adjacent vertices having equal labels, that minimizes the sum of the labels. The minimum sum that can be achieved is called the chromatic sum of the graph. Chromatic sums and sum coloring were introduced by Supowit in 1987 using non-graph-theoretic terminology, and first studied in graph theoretic terms by Ewa Kubicka in her 1989 doctoral thesis.

Envy-free pricing is a kind of fair item allocation. There is a single seller that owns some items, and a set of buyers who are interested in these items. The buyers have different valuations to the items, and they have a quasilinear utility function; this means that the utility an agent gains from a bundle of items equals the agent's value for the bundle minus the total price of items in the bundle. The seller should determine a price for each item, and sell the items to some of the buyers, such that there is no envy. Two kinds of envy are considered:

In economics, a budget-additive valuation is a kind of a utility function. It corresponds to a person that, when given a set of items, evaluates them in the following way:

Egalitarian item allocation, also called max-min item allocation is a fair item allocation problem, in which the fairness criterion follows the egalitarian rule. The goal is to maximize the minimum value of an agent. That is, among all possible allocations, the goal is to find an allocation in which the smallest value of an agent is as large as possible. In case there are two or more allocations with the same smallest value, then the goal is to select, from among these allocations, the one in which the second-smallest value is as large as possible, and so on. Therefore, an egalitarian item allocation is sometimes called a leximin item allocation.

<span class="mw-page-title-main">Baruch Schieber</span> Professor of computer science

Baruch M. Schieber is a Professor of the Department of Computer Science at the New Jersey Institute of Technology (NJIT) and Director of the Institute for Future Technologies.

<span class="mw-page-title-main">Ariel Shamir</span> Israeli professor of Computer Science

Ariel Shamir is an Israeli professor of Computer Science.

In computational economics, a single-minded agent is an agent who wants only a very specific combination of items. The valuation function of such an agent assigns a positive value only to a specific set of items, and to all sets that contain it. It assigns a zero value to all other sets. A single-minded agent regards the set of items he wants as purely complementary goods.

<span class="mw-page-title-main">Anat Bremler-Barr</span> Israeli computer scientist

Anat Bremler-Barr, is an Israeli computer scientist. She is a professor at Tel Aviv University who is known for her contributions in network security, specifically inDenial of Service attacks and scalable protection of Internet of Things (IoT) devices.

<span class="mw-page-title-main">Philip N. Klein</span> American computer scientist

Philip N. Klein is an American computer scientist and professor at Brown University. His research focuses on algorithms for optimization problems in graphs. 

<span class="mw-page-title-main">Tamir Tuller</span> Israeli researcher

Tamir Tuller is an Israeli engineer, a computer scientist, and a systems and synthetic biologist. He is a professor and the director of Tel Aviv University's Laboratory of Computational Systems and Synthetic Biology. As of February 2022, Tuller has authored over 150 peer-reviewed scientific journal articles and hundreds of additional types of publications and patents. In addition, he is the founder and primary instructor of the International Genetically Engineered Machine program at Tel Aviv University and an entrepreneur.

<span class="mw-page-title-main">Hadas Shachnai</span> Israeli computer scientist

Hadas Shachnai is an Israeli computer scientist specializing in combinatorial optimization, including knapsack problems, interval scheduling, and the optimization of submodular set functions. She is a professor of computer science at the Technion – Israel Institute of Technology, and co-editor-in-chief of Discrete Mathematics & Theoretical Computer Science.

Fractional job scheduling is a variant of optimal job scheduling in which it is allowed to break jobs into parts and process each part separately on the same or a different machine. Breaking jobs into parts may allow for improving the overall performance, for example, decreasing the makespan. Moreover, the computational problem of finding an optimal schedule may become easier, as some of the optimization variables become continuous. On the other hand, breaking jobs apart might be costly.

References

  1. "Prof. Tami Tamir", Faculty, Reichman University, retrieved 2023-03-22
  2. 1 2 3 Curriculum vitae , retrieved 2023-03-22
  3. Tami Tamir at the Mathematics Genealogy Project