Assistant Professor of Data Science

Lakeland, FL

Florida Polytechnic University

Present - 2018

• Performed research and teaching in data science supporting undergraduate and graduate programs in data science and business analytics.
  
  
• Supervised graduate students in projects and thesis work.
  
  
• Developed multiple courses for the undergraduate and graduate Data Science programs.
  
  
• Courses taught at Florida Poly:
  

Assistant Chair Department of Data Science
and Business Analytics

Lakeland, FL

Florida Polytechnic University

Present - 2021

• Working with Department Chair in all department operations, including but not limited to: curriculum design, assessment, scheduling, syllabi construction, recruitment, advising, and other institutional activities. ABET coordinator for the Data Science program.

Program Director MS in Big Data Analytics

Miami, FL

St. Thomas University

2018 - 2016

• Responsible for curriculum design and assessment, admissions, student advising, teaching of core classes, staffing, and program design.

Assistant Professor of Applied Mathematics

Miami, FL

St. Thomas University

2018 - 2016

• Performed research and teaching in data analytics and applied mathematics
  
  
• Supervised undergraduate students during the Summer Research Institute.
  
  
• Served as Faculty Liason for Dual Enrollment program.
  
  
• Served as Applied Mathematics and Data Science program coordinator.
  
  
• Courses taught at STU:
  

Assistant Professor of Applied Mathematics

Boston, MA

Wentworth Institute of Technology

2016 - 2014

• Taught courses for Applied Mathematics and Engineering majors.
• Served as Academic Advisor for Applied Mathematics students.
• Nominated and served as the Faculty Advisor for the Society of Industrial and Applied Mathematics (SIAM) Student Chapter.
• Coordinated multiple sections of MATH 2860; reviewed and developed material for MATH 1900, MATH 3700, and MATH 5000
• Member of the Science Committee for the BS in Engineering program.
• Courses taught at WIT:
  

Postdoctoral Researcher

Army High Performance Computing Research Center (AHPCRC)

N/A

2014 - 2013

• Postdoctoral Researcher for the Army High Performance Computing Research Center (AHPCRC). Army Research Lab (ARL) funded work in collaboration with The University of Texas at El Paso and Stanford University.
• Advisors: Dr. Martine Ceberio, Dr. Miguel Argaez
• Emphasis: Reduced-order modeling, data analytics, and numerical optimization methods for problems with sparse structure.

Research Assistant

El Paso, TX

The University of Texas at El Paso

2013 - 2009

• Research Assistant in the Computational Science Program, for the Army High Performance Computing Research Center (AHPCRC) grant. PI: Dr. Miguel Argaez and Dr. Leticia Velazquez
• Implementation of conjugate gradient based methods for large Karush–Kuhn–Tucker (KKT) systems in constrained optimization.
• Algorithmic implementation of \(\ell_1\)-optimization problems.
• Applications in compressed sensing, large scale parameter estimation, and supervised learning problems.

Research Intern

The Woodlands, TX

Repsol USA

2012 - 2011

• Research and Innovation Geophysics Department (Summer 2011, 2012).
• Worked on seismic image segmentation and classification via sparse representation with Dr. German Larrazabal and Dr. Pablo Guillen
• Studied and implemented absorbing boundary conditions for the wave equation. Worked on dip and azimuth angles computation for seismic ray tracing with Dr. German Larrazabal.

Adjunct Instructor

The University of Texas at El Paso

N/A

2013

• Instructor for MATH 2301 Mathematics for the Social Sciences (Spring and Fall).

Teaching Assistant

El Paso, TX

The University of Texas at El Paso

2008

• Grader for MATH 1411 Calculus I, MATH 2300 Discrete Mathematics, MATH 1319 Math in the Modern World, and MATH 3323 Matrix Algebra.
• Grader and responsible for MATLAB and problem solving sessions in MATH 5345 Numerical Optimization.

Teaching Assistant

Cali, Colombia

Universidad del Valle

2008 - 2007

• Tutor and recitation leader for Calculus, Linear Algebra, and Differential Equations courses for engineering students.

Ph.D. Computational Science

El Paso, TX

The University of Texas at El Paso

2013 - 2008

• Dissertation Title: “A Convex Optimization Algorithm for Sparse Representation and Applications in Classification Problems”. Advisor: Dr. Miguel Argaez.
• Area of Study: Sparse Optimization and Supervised Learning. GPA: 4.0/4.0

M.S. Computational Science

El Paso, TX

The University of Texas at El Paso

2011 - 2008

• Thesis Title: “A Sparse Representation Technique for Classification Problems”. Advisor: Dr. Miguel Argaez.
• Area of Study: \(\ell_1\)-optimization methods. GPA: 4.0/4.0

B.S. Mathematics

Cali, Colombia

Universidad del Valle

2007 - 2002

• Thesis Title: “A Hierarchic a Posteriori Estimate for the Approximation of a Nonlinear Elastic Problem”, Honors Distinction. Advisor: Dr. Jairo Duque.
• Area of Study: Finite Element Methods for Elasticity Problems. GPA: 4.4/5.0

IEOM Outstanding Service Award

Orlando, FL

IEOM 7th NA Conference

2022

• Served as conference associate chair for the Industrial Engineering and Operations Management (IEOM) 7th North American Conference, June 11-14, 2022.

Best Paper Award

Austin, TX

SRSA 2022

2022

• Award for Best Paper Published in 2021 in the Review of Regional Studies , announced at the Southern Regional Science Assoaciation Annual Meeting 2022. (co-authors: Jim Dewey, Kristopher Kindle and Sravani Vadlamani).

Best Track Paper Award

Monterrey, Mexico

IEOM 6th NA Conference

2021

• Best paper award in the data analytics and big data track, in the Industrial Engineering and Operations Management (IEOM) 6th North American Conference.

Ablaze Excellence in Teaching Award

Lakeland, FL

Florida Polytechnic University

2020

• The Excellence in Teaching Award is designed to encourage, reward, and publicly acknowledge sustained excellence in teaching by members of the University’s faculty.

Travel Award NSF Big Data Spoke

Chattanooga, TN

University of Tennessee at Chattanooga

2019

• NSF funded Big Data Spoke Bootcamps. Data Wrangling and Electronic Health Records Analysis using R. H. Qin (University of Tennessee at Chattanooga), E. Fong and Z. Miao (Center for Health Systems Innovation at the Oklahoma State University). Held July 29th - August 2nd, 2019.

Travel Award NSF Proposal Workshop

Alexandria, VA

National Science Foundation

2018

• NSF CISE Proposal Writing Workshop, held April 9-10, 2018.

Travel Award NCORE

Washington, DC

NCORE

2015

• Travel award as Faculty Mentor for The National Conference on Race and Ethnicity in American Higher Education (NCORE)

Travel Award NSF NIMBioS

Knoxville, TN

NIMBioS

2014

• NSF funded tutorial at the National Institute for Mathematical and Biological Synthesis (NIMBioS). Topics: “Computing in the Cloud: What Every Computational Life Scientist Should Know”.

Travel Award NSF Workshop

Evanston, IL

Northwestern University

2014

• NSF Funded Workshop, Academic Careers Workshop held March 27-30, 2014.

Outstanding Ph.D. Dissertation Award

El Paso, TX

The University of Texas at El Paso

2014

• Outstanding Ph.D. Dissertation Award Computational Science Program.

Best Student Paper Award

Edmonton, Canada

IFSA/NAFIPS Congress 2013

2013

• Best Student Interval Paper Award, for the paper “Sparse Fuzzy Techniques Improve Machine Learning” , with M. Argaez and C. Servin.

Academic Excellence Award

El Paso, TX

The University of Texas at El Paso

2013

• Academic Excellence Graduate Student Award UTEP College of Science. Presented during pre-commencement on May 10, 2013.

Best Oral Presentation

El Paso, TX

The University of Texas at El Paso

2012

• Second Place. UTEP Graduate Research Expo, held November 9, 2012.

Broadband Feasibility Study

Lakeland, FL

Federal American Rescue Plan

2022

• “Feasibility Study to Address Broadband Connectivity Issues in Polk County”.
  PI: Dr. Shahram Taj. Co-PI and Project Manager: Dr. Rei Sanchez-Arias
• Amount awarded: $250,000.00 (Summer 2022)

nanoHUB Champions Program

West Lafayette, IN

Purdue University

2021

• nanoHUB NCN Purdue University. “Utilizing Modern Data Exploration and Visualization Tools for STEM Applications and Datasets”.
• PI: Dr. Rei Sanchez-Arias
• Amount awarded: $5,000.00 (Summer 2021)

AMI Seed Award Program

Lakeland, FL

Advanced Mobility Institute (AMI)

2020

• Florida Polytechnic University Advanced Mobility Institute (AMI). “Enhancing simulation and testing of emergency medical service vehicles in AVs settings”.
• PI: Dr. Rei Sanchez-Arias, Co-PI: Dr. Grisselle Centeno.
• Amount awarded: $15,887.00 (Summer 2020 - Spring 2021)

tidystem: tidyverse Data Science Tools for STEM Applications and Datasets

Rei Sanchez-Arias (nanoHUB Champion Summer 2021)

N/A

2021

• Interactive tool available at https://nanohub.org/resources/tidystem (doi:10.21981/B5R8-M191)
• Description: This tool provides introductory materials for exploratory data analysis using powerful tools from the tidyverse family of R packages, utilizing datasets from different STEM applications and case studies, that can be introduced as working examples for hands-on classwork activities in different courses.

Interactive Learning Tools for Scientific Computing and Data Analysis

Cindy Nguyen and Rei Sanchez-Arias.

N/A

2020

• Interactive tool available at https://nanohub.org/resources/rjupyternb (doi:10.21981/ZGZK-AM94).
• Description: A collection of Jupyter notebooks illustrating root-finding methods and numerical optimization techniques with applications in science, engineering, and data analysis.

Machine Learning Framework for the Prediction of Response to Radiation Therapy Using Gene Expression Profiles

Rico F. , Centeno C., Sanchez-Arias R., Kuzniac L., Eschrich S. and Torres-Roca J.

N/A

Under review

• Computers & Industrial Engineering (Under Review)

The Cyber-Attack Iceberg: Evidence from an Extended Event Study of the Impact on Securities Prices

Frino A., Galati L., Mollica V., Sanchez-Arias R., Webb R.

N/A

N/A

• In preparation for submission to the Journal of Financial and Quantitative Analysis.

Graph Kernels for Unsupervised Learning Methods in Text Mining

Nicklas L., Sanchez-Arias R.

N/A

N/A

• In preparation.

Endoscopic sleeve gastroplasty: stomach location and task classification for evaluation using artificial intelligence

Dials, J., Demirel, D., Sanchez-Arias, R. , Halic T., De S., Gromski M.

N/A

2024

• In: International Journal of Computer Assisted Radiology and Surgery, 2024. doi.org/10.1007/s11548-023-03054-2

Accurate Loss Prediction of Realistic Hollow-Core Anti-Resonant Fibers Using Machine Learning

Jewani Y., Petry M., Sanchez-Arias R., Amezcua-Correa R., Habib Md S.

N/A

2024

• In: IEEE Journal of Selected Topics in Quantum Electronics, IEEE Journal of Selected Topics in Quantum Electronics, vol. 30, no. 6: Advances and Applications of Hollow-Core Fibers, pp. 1-8, 2024, doi.org/10.1109/JSTQE.2024.3366476

Understanding the State of Broadband Connectivity: An Analysis of Speedtests and Emerging Technologies

Sanchez-Arias R., Jaimes L., Taj S, and Habib Md S.

N/A

2023

• In: IEEE Access, vol. 11, pp. 101580-101603. 2023. doi.org/10.1109/ACCESS.2023.3313231

Skill Level Classification and Performance Evaluation for Endoscopic Sleeve Gastroplasty

Dials J., Demirel D., Sanchez-Arias R., Halic T., Kruger U., De S., Gromski M.

N/A

2023

• In: Surgical Endoscopy, vol. 37, 6, pp. 4754-4765. 2023. doi.org/10.1007/s00464-023-09955-2

State Marijuana Laws and Traffic Fatalities

Dewey J., Kindle K., Vadlamani S. and Sanchez-Arias R.

N/A

2021

• In: Review of Regional Studies, vol. 51, no. 3, pp. 246-265, 2021. doi.org/10.52324/001C.30970

A Machine Learning Approach to Designing Guidelines for Acute Aquatic Toxicity

Husowitz B. and Sanchez-Arias R.

N/A

2017

• In: Journal of Biometrics & Biostatistics, vol. 8, no. 6., pp. 1-11. 2017. doi.org/10.4172/2155-6180.1000385

Accurate Prediction of Major Histocompatibility Complex Class II Epitopes by Sparse Representation via \(\ell_1\)-minimization

Bonavides-Aguilar C., Sanchez-Arias R., Lanzas C.

N/A

2014

• In: BioData Mining, vol. 7, 23, pp. 1-14. 2014. doi.org/10.1186/1756-0381-7-23

\(\sqrt{x^2 + \mu}\) is the Most Computationally Efficient Smooth Approximation to \(\vert x \vert\)

Ramirez C., Sanchez R., Kreinovich K., Argaez M.

N/A

2014

• In: Journal of Uncertain Systems, vol. 8, no. 3, pp 205-210. 2014. http://www.worldacademicunion.com/journal/jus/jusVol08No3paper08.pdf

Face Recognition from Incomplete Measurements via \(\ell_1\)-minimization

Argaez M., Sanchez R., Ramirez C.

N/A

2012

• In: American Journal of Computational Mathematics, vol. 2, no. 4, pp 287-294. 2012. doi.org/10.4236/ajcm.2012.24039

Meta-Analysis of the Machine Learning Operations Open Source Ecosystem

Zimmerman I., Silge J., Abedin P., and Sanchez-Arias R.

N/A

2023

• In: Proceedings of the IEEE International Conference on Machine Learning Applications, pp. 922-925, 2023. doi.org/10.1109/ICMLA58977.2023.00136

A Supervised Learning Approach to Assessing Accounts Receivable Risk in Small-to-Medium Enterprises

Dewey J., Ingram C., Sanchez-Arias R.

N/A

2022

• In: Proceedings of the 7th North American Conference on Industrial Engineering and Operations Management (IEOM), pp. 1805-1815. 2022. doi.org/10.46254/NA07.20220419

Application of Network Models to Assist in Data Science Curriculum Using Program and Course Learning Outcomes

Yoshia O., Sanchez-Arias R., Taj S.

N/A

2022

• In: Proceedings of the 7th North American Conference on Industrial Engineering and Operations Management (IEOM), pp. 2264-2273. 2022. doi.org/10.46254/NA07.20220490

Dimensionality Reduction and Text Mining for Smart Content Filtering of an Online Health Forum

Sanchez-Arias R., Batista R. W., Nicklas L. and Akioyamen P.

N/A

2021

• In: Proceedings of the 6th North American Conference on Industrial Engineering and Operations Management (IEOM), pp. 2367-2374, 2021. doi.org/10.46254/NA06.20210419

A Methodology for Estimating Hospital Intensive Care Unit Length of Stay Using Novel Machine Learning Tools

Batista R. W. and Sanchez-Arias R.

N/A

2020

• In: Proceedings of the 19th IEEE International Conference on Machine Learning and Applications (ICMLA), Miami, FL, pp. 827-832, 2020. doi.org/10.1109/ICMLA51294.2020.00135

A Framework for Intelligent Navigation Using Latent Dirichlet Allocation on Reddit Posts About Opiates

Akioyamen P., Nicklas L. and Sanchez-Arias R.

N/A

2020

• In: Proceedings of the 4th International Conference on Compute and Data Analysis (ICCDA 2020). Association for Computing Machinery (ACM), New York, NY, USA, pp. 190–196, 2020. doi.org/10.1145/3388142.3388156

Unsupervised Learning on the Health and Retirement Study using Geometric Data Analysis

Sanchez-Arias R. and Batista R. W.

N/A

2019

• In: Proceedings of the 18th IEEE International Conference on Machine Learning and Applications (ICMLA), Boca Raton, FL, pp. 335-340, 2019. doi.org/10.1109/ICMLA.2019.00063

Street Network Generation with Adjustable Complexity Using k-Means Clustering

Goss Q., Akbas M. I., Jaimes L. G. and Sanchez-Arias R.

N/A

2019

• In: 2019 IEEE SoutheastCon, Huntsville, AL, USA, pp. 1-6, 2019. doi.org/10.1109/SoutheastCon42311.2019.9020392

Sparse Fuzzy Techniques Improve Machine Learning

Sanchez R., Servin C., Argaez M.

N/A

2013

• In: Joint World Congress of the International Fuzzy Systems Association and Annual Conference of the North American Fuzzy Information Processing Society IFSA/NAFIPS, pp. 531-535. 2013. doi.org/10.1109/IFSA-NAFIPS.2013.6608456

Sparse Representation via \(\ell_1\)-minimization for Underdetermined Systems in Classification of Tumors with Gene Expression Data

Sanchez R., Argaez M., Guillen P.

N/A

2011

• In: IEEE 33rd Annual International Conference Proceedings of the Engineering in Medicine and Biology Society, pp. 3362 - 3366. 2011. doi.org/10.1109/IEMBS.2011.6090911

Characterization of Subcortical Structures During Deep Brain Stimulation Utilizing Support Vector Machines

Guillen P., Martinez-de-Pinson F., Sanchez R., Argaez M., Velazquez L.

N/A

2011

• In: IEEE 33rd Annual International Conference Proceedings of the Engineering in Medicine and Biology Society, pp. 7949 - 7952. 2011. doi.org/10.1109/IEMBS.2011.6091960

Performance Comparison of an HPC \(\ell_1\)-optimization Algorithm for Compressed Sensing

Hernandez, M., Olaya, J., Sanchez, R., Ramirez, C., Romero, R., Velazquez, L., Argaez, M.

N/A

2011

• In: IEEE proceedings of Department of Defense High Performance Computing Modernization Program Users Group Conference, pp. 391-400. 2011.

An \(\ell_1\)-algorithm for Underdetermined Systems and Applications

Argaez, M., Ramirez, C., Sanchez, R.

N/A

2011

• In: IEEE proceedings of the North American Fuzzy Information Processing Society, pp. 1 - 6. 2011. doi.org/10.1109/NAFIPS.2011.5752016

Hybrid Optimization Schemes for Wing Modeling of Micro-Aerial Vehicles

Velazquez, L., Argaez, M., Sanchez, R., Ramirez, C., Hernandez, M., Culbreth, M., Jameson A.

N/A

2010

• In: IEEE proceedings of Department of Defense High Performance Computing Modernization Program Users Group Conference, pp. 149-154. 2010. doi.org/10.1109/HPCMP-UGC.2010.48

Semi-supervised Learning Methods for Early Prediction and Forecasting of Clinical Deterioration

Sanchez-Arias R., Sole A., Rojas J.

N/A

2018

• Technical Report for MediKos Inc, 2018.

Data Analytics Panel

Panel Speaker in the IEOM 8th North American International Conference

N/A

2023

• Invited Talk. June 2023.

Impact of Computing and Analytics in IEOM Careers

Webinar, South American Chapters, IEOM. With S. Taj and D. Demirel.

N/A

2023

• Invited Talk. January 2023.

Motivating the Study of Applied Mathematics Concepts with Data Mining Projects

LatinX in the Mathematical Sciences Conference. Institute of Pure and Applied Mathematics (IPAM), University of California, Los Angeles (UCLA)

N/A

2022

• Invited Talk. July 2022. Los Angeles, CA.

A Supervised Learning Approach to Assessing Accounts Receivable Risk in Small-to-Medium Enterprises

7th North American Conference on Industrial Engineering and Operations Management (IEOM). June 2022

N/A

2022

• Contributed Talk. June 2022. Orlando, FL.

Strategies for the Use of Computational Notebooks in Data Science Teaching and Research

UTC Data Science Conference: Using Data Science to Enhance Student Research Training and Education in Pandemic

N/A

2022

• Invited Talk. June 2022.

The Role and Impact of Applied Mathematics in Data Science and Machine Learning Applications

SIAM Student Chapter at Georgia Gwinnett College

N/A

2022

• Invited Talk. April 2022.

The Role and Impact of Applied Mathematics in Data Science and Machine Learning Applications

Annual Meeting of the Colombian Section of the Society of Industrial and Applied Mathematics (Co-SIAM)

N/A

2021

• Invited Talk. November 2021.

Dimensionality Reduction and Text Mining for Smart Content Filtering of an Online Health Forum

The 6th North American Conference on Industrial Engineering and Operations Management (IEOM)

N/A

2021

• Contributed Talk. November 2021.

Computational Notebooks for Teaching and Learning Data Science and Business Analytics

INFORMS 2021 Teaching Effectiveness Colloquium.

N/A

2021

• Invited Talk. October 2021.

Exploring Data Mining and Machine Learning Applications in STEM

Purdue University SROP, Bridges and NCN URE Seminar

N/A

2021

• Invited Talk. July 2021.

dplyr, ggplot2 and Other tidyverse Friends: Modern Tools for Data Exploration and Visualization

nanoHUB Champions Series

N/A

2021

• Contributed Talk. June 2021.

The Big Role of Applied Mathematics and Statistics in Data Science

Miami Dade College (MDC) Mathematics and Statistics Awareness Month

N/A

2021

• Invited Talk. April 2021.

The Experience of Pursuing a PhD in the United States

US Embassy in Colombia and the Centro Cultural Colombo Americano, Dia del Idioma at Universidad Autónoma de Occidente

N/A

2021

• Invited Talk. April 2021.

Finding Structure in Reddit With Text Mining and Dimensionality Reduction: the Case of Miscarriage Experiences

Healthcare Systems Process Improvement Conference

N/A

2021

• Contributed Talk. February 2021.

A Methodology for Estimating Hospital Intensive Care Unit Length of Stay Using Novel Machine Learning Tools

19th IEEE International Conference on Machine Learning and Applications

N/A

2020

• Contributed Talk. December 2020.

Teaching Science and Engineering Using Jupyter Notebooks

Summer 2020 Webinar Series Utilizing nanoHUB Tools for Materials Science Education

N/A

2020

• Invited Talk. August 2020.

Using Jupyter Notebooks for Data Analysis and Scientific Computing

Workshop Series for nanoHUB Florida Users Group

N/A

2020

• Invited Talk. July 2020.

Unsupervised Learning Problems in Data Science

Board of Trustees Meeting. Florida Polytechnic University

N/A

2020

• Invited Talk. February 2020. Lakeland, FL.

Data Science of Social Networks

St. Thomas University, Library Lecture Series

N/A

2018

• Invited Talk. April 2018. Miami, FL.

A Discussion on Data Analytics and Machine Learning Applications for Engineering and Science

Florida International University, Department of Biomedical Engineering, (Wallace H. Coulter Lecture Series)

N/A

2017

• Invited Talk. October 2017. Miami, FL.

Data Science and Big Data Analytics for Social Good

Marines 4th Civil Affairs Group (CAG) Planning Exercise

N/A

2017

• Invited Talk. July 2017. Miami, FL.

A Duality Approach For Sparse Representation In Classification

SIAM Annual Meeting 2016

N/A

2016

• Contributed Talk. July 2016. Boston, MA.

Sparse Representation via \(\ell_1\)-optimization and Supervised Learning

Department of Biomedical Engineering Seminar. Universidad de Los Andes

N/A

2014

• Invited Talk. July 2014. Bogota, Colombia.

Sparse Regularization for Data Mining and Approximation

VIII Pan-American Workshop: Applied and Computational Mathematics. Universidad del Norte

N/A

2014

• Contributed Talk. July 2014. Barranquilla, Colombia.

Sparse Regularization for Data Mining and Approximation

Institute of Mathematical Sciences Seminar. Universidad de Antioquia

N/A

2014

• Invited Talk. July 2014. Medellin, Colombia.

Introduction to Sparse Optimization and Applications in Machine Learning

Taller de Avances en Matemática Aplicada y Biomatemática 2013, Two-day mini-course at Universidad Autónoma de Occidente

N/A

2013

• Invited Talk. November 2013. Cali, Colombia.

Sparse Representation and Applications in Classification

UTEP 2nd Annual Graduate Research Expo

N/A

2012

• Contributed Talk. November 2012. El Paso, TX.

Sparse Representation via \(\ell_1\)-minimization for Underdetermined Systems in Classification of Tumors with Gene Expression Data

IEEE 33rd Annual International Conference of the Engineering in Medicine and Biology Society

N/A

2011

• Contributed Talk. August 2011. Boston, MA.

An \(\ell_1\)-algorithm for Underdetermined Systems and Applications

North American Fuzzy Information Processing Society, NAFIPS 2011

N/A

2011

• Contributed Talk. March 2011. El Paso, TX.

Hybrid Optimization for Parameter Estimation Problems

The International Conference for High Performance Computing (SC10). Demonstration at AHPCRC booth

N/A

2010

• Invited Talk. November 2010. New Orleans, LA.

Hybrid Optimization Schemes for Parameter Estimation Problems

Army High Performance Research Computing Center (AHPCRC) Annual Review. Stanford University

N/A

2010

• Contributed Talk. July 2010. Palo Alto, CA.

A Path Following Method for Large Scale \(\ell_1\)-underdetermined Problems

6th Joint UTEP/NMSU Workshop on Mathematics, Computer Science and Computational Sciences

N/A

2009

• Contributed Talk. November 2009. El Paso, TX.

A Path Following Method for Large Scale \(\ell_1\)-underdetermined Problems

XVII Colombian Congress of Mathematics

N/A

2009

• Contributed Talk. August 2009. Cali, Colombia.

Attitudes Towards Hot Lanes Using Dimensionality Reduction And Clustering

Transportation Research Board Annual Meeting

N/A

2020

• Washington, DC. January 2020. (Presented by S. Vadlamani and Y. Lou)

Unsupervised Learning on the Health and Retirement Study using Geometric Data Analysis

18th IEEE International Conference on Machine Learning and Applications

N/A

2019

• Boca Raton, FL, December 2019. (With R. Batista)

Exploratory Analysis of Citrus Farming Amidst the “Greening” Problem in Polk County, Florida

2019 Florida Academy of Sciences Annual Meeting

N/A

2019

• Melbourne, FL. March 2019. (Presented by Miguel Amaral and Melba Horton)

Analysis of Microbial Communities Reflect Diel Vertical Migration in the Gulf

SACNAS: The National Diversity in STEM Conference

N/A

2018

• San Antonio, TX, October 2018. (Presented by Claudia Gorbea)

Music Data Mining Using Audio Features Extracted from Spotify

STU Summer Research Institute 10th Annual Symposium

N/A

2018

• Miami Gardens, FL, October 2018. (Presented by S. Benito)
• Sandy Benito won “outstanding poster presentation award” for this work.

Text Mining and Pattern Recognition for Online Reviews

Miami-Dade College Undergraduate Research Symposium

N/A

2018

• Miami, FL, September 2018. (Presented by Maudeline Deus)
• Maudeline Deus won second-place for “best poster presentation award”.

Dimensionality Reduction and Sparse Representation for Classification

SIAM Annual Meeting

N/A

2012

• Minneapolis, MN. July 2012.

Hybrid Optimization Schemes For Parameter Estimation Problems

Army High Performance Computing Research Center Program Management Board Meeting

N/A

2011

• Stanford University, Palo Alto, CA. November 2011.

Characterization of Subcortical Structures During Deep Brain Stimulation Utilizing Support Vector Machines

IEEE 33rd Annual International Conference of the Engineering in Medicine and Biology Society

N/A

2011

• Boston, MA. August 2011.

A Sparse Representation Technique for Classification Problems

7th International Congress on Industrial and Applied Mathematics - ICIAM 2011

N/A

2011

• Vancouver, BC Canada. July 2011.

An Algorithm for Constrained \(\ell_1\)-minimization Problems and Applications

Sixth Blackwell-Tapia Conference

N/A

2010

• Columbus, OH. November 2010.

A Path Following Method for Large Scale \(\ell_1\)-underdetermined Problems

Minority Serving Institutions Research Partnerships Consortium Conference

N/A

2010

• Baltimore, MD. April 2010.

A Path Following Method for Large Scale \(\ell_1\)-underdetermined Problems

The International Conference for High Performance Computing (SC09)

N/A

2009

• Portland, OR USA. November 2009.

A Fixed Point Algorithm for \(\ell_1\) Large Scale Underdetermined Systems

UTEP SACNAS Research Expo 2009

N/A

2009

• El Paso, TX. April 2009.

Parallel Global Optimization Schemes for Parameter Estimation Problems

The International Conference for High Performance Computing (SC08)

N/A

2008

• Austin, TX. November 2008.

“Polk County awarded $4.1 million to expand access to high-speed internet”

ABC Actions News Tampa Bay

N/A

2023

• Featured on TV interview to comment on the broadband feasibility study that was used to apply for the award.

“Dutch Charlemagne Fellow explores deep tech startups”

Florida Poly News

N/A

2023

• Featured as collaborator of Sabine Kerssens, a Charlemagne Prize Fellow, for potential use of data mining methods to understanding and analyze deep tech innovation and survival.

“Florida Poly researchers’ work lays foundation for expanded high-speed internet access”

Florida Poly News Website

N/A

2023

• Featured as the Co-PI and Project Manager of the broadband feasibility study for Polk County, Florida. The study helped the county support its application for federal grants for broadband infrastructure in the region.

“Fulbright Senior Scholar shares research on true cost of cyberattacks”

Florida Poly News Website

N/A

2023

• Featured as part of the international research group working with Fulbright Senior Scholar Professor Alex Frino.

“Drawing upon Florida Poly study, Polk County seeks grants to expand broadband access”

The Ledger Lakeland Newspaper

N/A

2023

• Featured as investigator of the broadband feasibility study for Polk County, used to apply for federal grants for improved broadband access.

“Florida Poly launches two new master’s degree programs”

Florida Poly News Website

N/A

2022

• Story about graduate programs development at Florida Poly.

“Data Science and Business Analytics charge ahead at Florida Poly”

Florida Poly News Website

N/A

2022

• Featured for participation and organizing efforts of the IEOM 2022 Conference.

“Rei Sanchez-Arias: Biography”

Lathisms Website

N/A

2022

• Featured as one of the 2022 Latinx and Hispanics in the Mathematical Sciences, during Hispanic Heritage Month.

“Lifelong love of learning inspires Dr. Sanchez-Arias to help students succeed”

Florida Poly News Website

N/A

2021

• Story for the National Hispanic Heritage Month.

“Data science student creates nanoHUB tool to enhance remote education”

Florida Poly News Website

N/A

2020

• Story about data science student experience in Purdue University nanoHUB URE/UCEE program working under my supervision.

“Opening doors for students and faculty: summer programs deliver educational gateway tools developed by students”

Science Gateways Community Institute

N/A

2020

• The Science Gateways Community Institute, funded by NSF in 2016, shared a post about Purdue University’s program in which I supervised a data science student.

“Data science researchers at Florida Poly work to improve online community use”

Florida Poly News Website

N/A

2020

• Article regarding Peter Akioyamen, Killam Fellow (student from Western University) experience and work at Florida Poly under my supervision, during his Fulbright Canada exchange program.

“Florida Poly cements partnership with prestigious Brazilian university”

Florida Poly News Website

N/A

2020

• For this collaborative effort, I worked with a Florida Poly graduate student to apply data mining and data visualization methods for information processing from data centers at Facens’ smart campus.

Department Chairs Workshop

Institute for Academic Leadership, The Florida State University, Howey-in-the-Hills, Florida, June 4-7, 2023.

N/A

N/A

Proposal Writing Institute

Council on Undergraduate Research, University of Wisconsin at Oshkosh, Wisconsin, July 13-17, 2023.

N/A

N/A

Undergraduate Advisor

Florida Polytechnic University, St. Thomas University

N/A

N/A

• nanoHUB URE NCN Mentor Summer 2020.
  Cindy Nguyen’s (Florida Polytechnic University, Data Science)
  Undergraduate Computational Education Experience with nanoHUB
  (with Dr. Tanya Faltens, Network for Computational Nanotechnology at Purdue University)
  
  
• Fulbright Canada Killam Fellow Mentor Fall 2019.
  Peter Akioyamen’s (Western University, Applied Mathematics and Data Science)
  Semester abroad at Florida Polytechnic University.
  
  
• STU Summer Research Institute 2017 and 2018 Mentor and Supervisor.
  Eliana Espinosa, Sierra Hawthorne (STU, Applied Mathematics),
  Jayden Carr (STU, Computer Science),
  Sandy Benito and Celeste Pereira (STU, Biology),
  Kevin Osorio, Acxel Vega, Jose Muguira, Sabrina Romero (MDC, Computer Science),
  Maudeline Deus (MDC, Mathematics)

Thesis and Graduate Project Advisor

Florida Polytechnic University, St. Thomas University

N/A

N/A

• Final Project Advisor for Isabel Zimmerman, MS in CS Data Science Track.
  Florida Polytechnic University. Graduation term: Spring 2023.
  Topic: Meta-analysis of the machine learning operations open source ecosystem.
  
  
• Final Project Advisor for Yordanos Jewani MS in Data Science.
  Florida Polytechnic University. Graduation term: Spring 2023.
  Topic: Prediction Evaluation of Confinement Loss of Hollow Core Optical Fiber Using Machine Learning Algorithms.
  
  
• Final Project Advisor for Gabriel Mantini MS in Data Science.
  Florida Polytechnic University. Graduation term: Fall 2022.
  Topic: Text Mining for Data Science Programs Benchmarking.
  
  
• Final Project Advisor for Jeffrey DuBois MS in CS Data Science Track.
  Florida Polytechnic University. Graduation term: Spring 2022.
  Topic: Interactive Credit Union Peer and Performance Analysis Dashboard.
  
  
• Final Project Advisor for Angel Sarmiento. MS in CS Data Science Track.
  Florida Polytechnic University. Graduation term: Fall 2021.
  Topic: Data-Driven STEM Curriculum Design and Education with Unsupervised Learning Techniques.
  
  
• Final Project Supervisor for Greg Dills. MS in CS Data Science Track.
  Florida Polytechnic University. Graduation term: Summer 2021.
  Topic: Association Rule Mining for Spot Rate Quoting Process Improvement.
  
  
• Final Project Supervisor for Katie Dills. MS in CS Data Science Track.
  Florida Polytechnic University. Graduation term: Summer 2021.
  Topic: Logistics Store Forecast Workspace and Analytics.
  
  
• Thesis Advisor for Levi Nicklas. MS in CS Data Science Track.
  Florida Polytechnic University. Graduation term: Spring 2021.
  Topic: Graph Kernels for Text Mining in Unsupervised Learning.
  
  
• Final Project Supervisor for Morgan Nibert. MS in CS Data Science Track.
  Florida Polytechnic University. Graduation term: Spring 2021.
  Topic: Sentiment Analysis and Clustering for Content Recommendation System Using Microblogging Data.
  
  
• Final Project Supervisor for Diego De Paula. MS in CS Data Science Track.
  Florida Polytechnic University. Graduation term: Spring 2021.
  Topic: Data Mining and Analytics Applications for Interconnected Data Centers in a Smart Campus (with Dr. Regiane Relva Romano from Facens, Brazil).
  
  
• Thesis Supervisor for Roberto Batista. MS in CS Data Science Track.
  Florida Polytechnic University. Graduation term: Spring 2020.
  Topic: Unsupervised and Supervised Machine Learning Methods for Healthcare Applications using Diversified Data Sources.
  
  
• Final Project Supervisor for Adam Seevers. MS in CS Big Data Analytics.
  Florida Polytechnic University Graduation term: Spring 2020.
  Topic: Data Analytics and Predictive Modeling for Social Networks Data.
  
  
• Final Project Supervisor for Jonathan Ferrer. MS in CS Big Data Analytics.
  Florida Polytechnic University Graduation term: Spring 2019.
  Topic: Supervised Machine Learning Algorithm for the IB Program in Hillsborough County Florida.
  
  
• Capstone Project Supervisor for Yasshin Lozano. MS in Big Data Analytics.
  St. Thomas University Graduation term: Summer 2018.
  Topic: Development of an Analytics App for the Canvas Learning Management System.
  
  
• Capstone Project Supervisor for Javier Rojas. MS in Big Data Analytics.
  St. Thomas University Graduation term: Summer 2017.
  Topic: Predictive Modeling and Development of an Early Warning Score for Patient Deterioration.
  
  

Thesis/Project Committee Member

Florida Polytechnic University

N/A

N/A

• George Westergaard: (thesis committee member) MS in Computer Science.
  Graduation term: Spring 2024. (Advisor: Dr. Demirel)
• Yasar Kakdas: (thesis committee member) MS in Computer Science.
  Graduation term: Spring 2024. (Advisor: Dr. Demirel)
• Alejandro Cabrera: (thesis committee member) MS in Computer Science.
  Expected Graduation: Fall 2023. (Advisor: Dr. Karaman)
• Kevan Baker: (thesis committee member) MS in Computer Science.
  Graduation term: Spring 2023. (Advisor: Dr. Demirel)
• Chinmoy Modak: (project advisory committee member) MS in Computer Science.
  Graduation Term: Fall 2022. (Advisor: Dr. Demirel)
• Orel Yoshia: (project advisory committee member) MS in CS Data Science track.
  Graduation Term: Spring 2022. (Advisor: Dr. Taj)
• Ethan Bard: (project advisory committee member) MS in CS Data Science track.
  Graduation Term: Spring 2022. (Advisor: Dr. Shi)
• Vin Seixas: (thesis commmittee member) MS in Computer Science.
  Graduation Term: Spring 2022. (Advisor: Dr. Elish)
• James Dials: (thesis committee member) MS in Computer Science.
  Graduation Term: Fall 2021. (Advisor: Dr. Demirel)
• Jordan Jones: (project advisory committee member) MS in Computer Science.
  Graduation term: Fall 2021. (Advisor: Dr. Demirel)
• Steves Sestari: (thesis committee member) MS in Computer Science.
  Graduation term: Spring 2021. (Advisor: Dr. Towle)
• Xin Wang: (thesis committee member) MS in Computer Science.
  Graduation term: Spring 2021. (Advisor: Dr. Jaimes)
• Joshua Olabisi: (thesis committee member) MS in CS Data Science track.
  Graduation Term: Spring 2020. (Advisor: Dr. Centeno)
• Michael Nelson: (thesis committee member) MS in CS Data Science track.
  Graduation Term: Spring 2020. (Advisor: Dr. Vadlamani)
• Anita Silwal: (project advisory committee member) MS CS Analytics Track.
  Graduation Term: Spring 2019. (Advisor: Dr. Vadlamani)
• Kiran Dundu: (project advisory committee member) MS in Logistics Analytics.
  Graduation Term: Fall 2019. (Advisor: Dr. Taj)

Florida Polytechnic University

Curriculum and Assessment Committee Chair DSBA
Graduate Curriculum Council Member
Scenarios of the Future, COVID-19 Campus Planning Subgroup
DSBA Student Club Faculty Advisor
Strategic Plan Sub-committee Member
Academic Integrity Panel Member
Data Science and Business Analytics Faculty Hiring Committee

N/A

Present - 2018

INFORMS

Education Outreach Committee Member

N/A

Present - 2019

Industrial Engineering and Operations Management Society

IEOM Conference Associate Chair

N/A

2022

• Worked with IEOM operations manager, conference chair and coordinator, and other IEOM team members to organize the IEOM North American Conference in Orlando, Florida held in June 2022.

University of Tennessee at Chattanooga

Evaluation Panel Student Coding Bootcamp

N/A

2020

• Member of the evaluation panel for the “Analyze COVID-19 Data with R and Google CoLab” event. Organized by Dr. Hong Qin, UTC, December 2020.

St. Thomas University

Computer Science Faculty Hiring Committee Chair
General Education Committee Member
Faculty Lead Dual Enrollment Program
Dean School of Science Search Committee Member

N/A

2018 - 2017

Wentworth Institute of Technology

Faculty Advisor, SIAM Student Chapter
Applied Mathematics Faculty Hiring Committee Member

N/A

2016 - 2015

The University of Texas at El Paso

UTEP SIAM Student Chapter Vice-president
UTEP Graduate Research Expo Judge (Fall 2012)

N/A

2013 - 2011