Yosef Zlochower

Professor

School of Mathematics and Statistics

College of Science

yrzsma@rit.edu

5854756103

Office Hours

Mondays: 2 - 2:50pm Tuesdays: 5 - 5:50pm Wednesdays: 10 - 10:50am, 5 - 5:50pm And by appointment

Office Location

LAC-2067

Yosef Zlochower

Professor

School of Mathematics and Statistics

College of Science

Education

BS, Ph.D., University of Pittsburgh

yrzsma@rit.edu

5854756103

Personal Links

Personal Website

Areas of Expertise

Numerical Relativity

Gravitational Wave Source Modeling

Neutron Stars

Astrophysics

High-Performance Computing

Black Holes

Computational Relativity and Gravitation

Gravitational Waves

Currently Teaching

ASTP-720

Computational Methods for Astrophysics

3 Credits

This course surveys the different ways that scientists use computers to address problems in astrophysics. The course will choose several common problems in astrophysics; for each one, it will provide an introduction to the problem, review the literature for recent examples, and illustrate the basic mathematical technique. In each of these segments, students will write their own code in an appropriate language.

ASTP-790

Research & Thesis

1 - 3 Credits

Masters-level research by the candidate on an appropriate topic as arranged between the candidate and the research advisor.

ASTP-791

Continuation of Thesis

0 Credits

Continuation of Thesis

ASTP-890

Research & Thesis

1 - 6 Credits

Dissertation research by the candidate for an appropriate topic as arranged between the candidate and the research advisor.

MATH-411

Numerical Analysis

3 Credits

This course covers numerical techniques for the solution of nonlinear equations, interpolation, differentiation, integration, and the solution of initial value problems.

MATH-751

High-performance Computing for Mathematical Modeling

3 Credits

Students in this course will study high-performance computing as a tool for solving problems related to mathematical modeling. Two primary objectives will be to gain experience in understanding the advantages and limitations of different hardware and software options for a diverse array of modeling approaches and to develop a library of example codes. The course will include extensive hands-on computational (programming) assignments. Students will be expected to have a prior understanding of basic techniques for solving mathematical problems numerically.

MATH-790

Research & Thesis

0 - 9 Credits

Masters-level research by the candidate on an appropriate topic as arranged between the candidate and the research advisor.

MATH-791

Continuation of Thesis

0 Credits

Continuation of Thesis

In the News

January 24, 2024

RIT leading NASA-funded supermassive black hole research

RIT scientists will be the lead researchers on a $1.8 million NASA grant to study electromagnetic signals from merging supermassive black holes.
November 21, 2022

Dozens of RIT researchers included on Stanford University’s list of the world’s top 2% of scientists

Numerous Rochester Institute of Technology faculty, professors emeriti, and postdoctoral researchers were recognized as top-cited scientists in their fields, according to a Stanford University study published by Elsevier.
November 8, 2021

LIGO-Virgo-KAGRA Collaboration announces 90 gravitational wave discoveries to date

The LIGO-Virgo-KAGRA Collaboration unveiled several studies that shed important new light on the nature of gravitational waves. They include a “census” of gravitational wave events to date and a new catalog of results from the second half of its third observing run.

April 10, 2023

Ennoggi presents at American Physical Society Meeting

More News