REU: Computing for Structure

Poster Day Presentations

Computing for Structure is an NSF Funded Research Experience for Undergraduates, created and directed by the University of Miami Department of Computer Science and Center for Computational Science. On July 28, 2017, the REU concluded the 10 week research activity with poster presentations of the results. The event combined two REUs and the SURF project, see the brochure.

Here are the REU-CFS research results.



REU 2017: Leon Lei, Rachel Arens, Robert Costales, Samuel Cooper, Alex Fischer.

General Information

Boot Camp, first week

The first week was an intensive program to present skills in computers and mathematics, needed in the mentorships. Covered were: Matlab, Python, Unix and High Performance Computing. The camp was held Monday–Friday, May 22–26 in the Ungar Building computer lab, third floor, except Friday was an AM meeting only.

AM series: 9:30am – 12:00

PM series: 1:30pm – 4:00pm

Nature of Science Lecture Series / Research Seminars

A series of Wednesdays afternoon lectures with a historical or conceptual viewpoint of the development or practice of science. Some lectures in the series were devoted to an overview of specific research topics, relevant to the REU theme, by active researchers in those fields.

Thursday, 1 June.
Prof. Alvarez, Physics. Science and Physics
Wednesday, 7 June.
Prof. Kirtman,Marine Sciences (RSMA). Science and Computation
Wednesday, 14 June.
Prof. Ogihara, Computer Science. Science and Humanities
Wednesday, 21 June.
Prof. Goodman, Program on Ethics. Science and Ethics
Wednesday, 28 June.
Prof. Visser, Computer Science. Research: The Semantic Web
Thursday, 6 July.
Profs. Rosenberg and Schwartz, Project Reports
Wednesday, 12 July.
Prof. Sutcliffe, Computer Science. Research: Automated Theorem Proving
Wednesday, 19 July.
Prof. Rosenberg, Computer Science. Science and Information
Wednesday, 26 July.
Profs. Mirzargar, Rosenberg and Schwartz, Poster Presentation Preview

Lectures are also announce on our CFS-REU calendar.

Professional Development Workshop

In coordination with the REU at the Chem Dept, we had a series of weekly workshops to help new scientist develop in their field and understand their future options.

Date and time: 3pm–5pm Fridays, (except 9 and 27 June) either in the Cox science building, next to Ungar, or downtown on the Medical Campus, at the Gautier building.

Friday, 26 May
Introduction to Interdisciplinary Research, Prof. Knecht. Cox 166.
Friday, 2 June
Giving an Effective Research Presentation, Prof. Nawaz. Gautier 118.
Friday, 9 June 4pm–5:30pm
Scientific Ethics and Misconduct, Prof. Gaines. Cox 145.
Friday, 16 June
Reading and Critiquing Scientific Literature, TBA. Cox 166.
Friday, 23 June
Graduate School Opportunities, Dr. Captain, Dr. Salas, and Dr. Deo. Gautier 118.
Tuesday, 27 June 9am–10am
M.D./Ph.D. Opportunities, Prof Lemmon. Lois Pope Center, 7th flr Conf Rm. Note day of the week
Friday, 30 June
Life as a Graduate Student, Panel discussion. Cox 166.
Friday, 7 July
Reading and Critiquing Scientific Literature, TBA. Cox 166.
Friday, 14 July
Graduate and Postdoctoral Opportunities, Prof. Rai. Cox 166.
Friday, 21 July
Program wrap-up, Prof. Knecht, Cox 166.
Friday, 28 July
Research Symposium and Luncheon. 9:30am–3:00pm Cox Atrium.

Mentorships

Computational Chemistry
Prof Acevado
Cryptography
Prof. Rosenberg
Neural Networks
Prof Schwartz
Neuroscience
Prof Uddin
Protein Networks
Prof Wuchty
Psychology
Prof Messinger
Laura Vitale
Visualization
Prof Mirzarga
Prof Milenkovic
Prof Lemmon

With help and guidance from:

Statistics
Dr. Hadjixenofontos
High Performance Computing
Joel Zysman
Administration
Evelyn Cruz, Senior Manager CCS
Julie Garcia, Project Administration and Manager CSC
Prof. Sutcliffe, Chair Computer Science
Dr. Tsinoremas, Director CCS

Sponsored by the National Science Foundation

The NSF has set up the REU program in order to involve students in meaningful ways in ongoing research programs so as to attract talented students into careers in science and engineering.

The full title of this program is REU Site: Scientific Computing for Structure in Big or Complex Datasets and it is NSF grant CNS-1659144. The REU program is described in program solicitation NSF 13-542, Research Experiences for Undergraduates (REU).