Rei Sanchez-Arias, Ph.D.
Data science researcher and educator with extensive experience in the application and development of statistical learning and data mining methods. Research interests include: numerical optimization, data mining, machine learning, and data science education.
EducationEducation
Sample Coursework: Computational Methods for Linear Algebra, Numerical Optimization, Numerical Partial Differential Equations, Numerical
Analysis, Mathematical and Computer Modeling, Parallel Programming, Advanced Algorithms, Data Mining and Machine Learning, Convex Optimization, Digital Signal Processing, Geophysical Inverse Theory.
20132008
Ph.D. Computational Science
El Paso, TX The University of Texas at El Paso
- 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
20112008
M.S. Computational Science
El Paso, TX The University of Texas at El Paso
- Thesis Title: “A Sparse Representation Technique for Classification Problems”. Advisor: Dr. Miguel Argaez.
- Area of Study: ℓ1-optimization methods. GPA: 4.0/4.0
20072002
B.S. Mathematics
Cali, Colombia Universidad del Valle
- 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
AwardsAwards
“The Excellence in Teaching Award recognizes excellence in teaching practices that reflect the highest standards in pedagogy, a record of outstanding teaching effectiveness within and outside the classroom, the ability to inspire, promote, and sustain the intellectual development of students, course and program development, fostering of critical thinking, and independent inquiry of students.”
Link: award announcement
https://bit.ly/reiAblaze
2022
IEOM Outstanding Service Award
Orlando, FL IEOM 7th NA Conference
- Served as conference associate chair for the Industrial Engineering and Operations Management (IEOM) 7th North American Conference, June 11-14, 2022.
2022
Best Paper Award
Austin, TX SRSA 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).
2021
Best Track Paper Award
Monterrey, Mexico IEOM 6th NA Conference
- Best paper award in the data analytics and big data track, in the Industrial Engineering and Operations Management (IEOM) 6th North American Conference.
2020
Ablaze Excellence in Teaching Award
Lakeland, FL Florida Polytechnic University
- The Excellence in Teaching Award is designed to encourage, reward, and publicly acknowledge sustained excellence in teaching by members of the University’s faculty.
2019
Travel Award NSF Big Data Spoke
Chattanooga, TN University of Tennessee at Chattanooga
- 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.
2018
Travel Award NSF Proposal Workshop
Alexandria, VA National Science Foundation
- NSF CISE Proposal Writing Workshop, held April 9-10, 2018.
2015
Travel Award NCORE
Washington, DC NCORE
- Travel award as Faculty Mentor for The National Conference on Race and Ethnicity in American Higher Education (NCORE)
2014
Travel Award NSF NIMBioS
Knoxville, TN NIMBioS
- 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”.
2014
Travel Award NSF Workshop
Evanston, IL Northwestern University
- NSF Funded Workshop, Academic Careers Workshop held March 27-30, 2014.
2014
Outstanding Ph.D. Dissertation Award
El Paso, TX The University of Texas at El Paso
- Outstanding Ph.D. Dissertation Award Computational Science Program.
2013
Best Student Paper Award
Edmonton, Canada IFSA/NAFIPS Congress 2013
- Best Student Interval Paper Award, for the paper “Sparse Fuzzy Techniques Improve Machine Learning” , with M. Argaez and C. Servin.
2013
Academic Excellence Award
El Paso, TX The University of Texas at El Paso
- Academic Excellence Graduate Student Award UTEP College of Science. Presented during pre-commencement on May 10, 2013.
2012
Best Oral Presentation
El Paso, TX The University of Texas at El Paso
- Second Place. UTEP Graduate Research Expo, held November 9, 2012.
FundingFunding
Polk County commissioned Florida Poly to conduct a feasibility study to consider the delivery of broadband Internet to all residential and business customers throughout the region. This study was conducted to provide an analysis of available service in Polk County and provide necessary data and guidance for future grant funding requests.
Link: News article
https://bit.ly/reiBEAD
2022
Broadband Feasibility Study
Lakeland, FL Federal American Rescue Plan
- “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)
2021
nanoHUB Champions Program
West Lafayette, IN Purdue University
- 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)
2020
AMI Seed Award Program
Lakeland, FL Advanced Mobility Institute (AMI)
- 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)
Refereed Articles in JournalsRefereed Articles in Journals
Award for Best Paper Published in 2021 in the Review of Regional Studies.
2024
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.
- In: International Journal of Computer Assisted Radiology and Surgery, 2024. doi.org/10.1007/s11548-023-03054-2
2024
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.
- 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
2023
Understanding the State of Broadband Connectivity: An Analysis of Speedtests and Emerging Technologies
Sanchez-Arias R., Jaimes L., Taj S, and Habib Md S.
- In: IEEE Access, vol. 11, pp. 101580-101603. 2023. doi.org/10.1109/ACCESS.2023.3313231
2021
State Marijuana Laws and Traffic Fatalities
Dewey J., Kindle K., Vadlamani S. and Sanchez-Arias R.
- In: Review of Regional Studies, vol. 51, no. 3, pp. 246-265, 2021. doi.org/10.52324/001C.30970
2017
A Machine Learning Approach to Designing Guidelines for Acute Aquatic Toxicity
Husowitz B. and Sanchez-Arias R.
- In: Journal of Biometrics & Biostatistics, vol. 8, no. 6., pp. 1-11. 2017. doi.org/10.4172/2155-6180.1000385
2014
Accurate Prediction of Major Histocompatibility Complex Class II Epitopes by Sparse Representation via ℓ1-minimization
Bonavides-Aguilar C., Sanchez-Arias R., Lanzas C.
- In: BioData Mining, vol. 7, 23, pp. 1-14. 2014. doi.org/10.1186/1756-0381-7-23
2014
√x2+μ is the Most Computationally Efficient Smooth Approximation to |x|
Ramirez C., Sanchez R., Kreinovich K., Argaez M.2012
Face Recognition from Incomplete Measurements via ℓ1-minimization
Argaez M., Sanchez R., Ramirez C.
- In: American Journal of Computational Mathematics, vol. 2, no. 4, pp 287-294. 2012. doi.org/10.4236/ajcm.2012.24039
Refereed Articles in Conference ProceedingsRefereed Articles in Conference Proceedings
Graduate Student Paper Competition (sponsored by Siemens) Award. Paper presented by co-advised graduate student Orel Yoshia (MS in Data Science graduate). IEOM 7th NA Conference, Orlando, FL. June 2022.
ICCDA paper is work with Fulbright Canada Killam Fellow Peter Akioyamen (Undegraduate student at Western University)
2022
A Supervised Learning Approach to Assessing Accounts Receivable Risk in Small-to-Medium Enterprises
Dewey J., Ingram C., Sanchez-Arias R.
- 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
2022
Application of Network Models to Assist in Data Science Curriculum Using Program and Course Learning Outcomes
Yoshia O., Sanchez-Arias R., Taj S.
- 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
2021
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.
- 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
2020
A Framework for Intelligent Navigation Using Latent Dirichlet Allocation on Reddit Posts About Opiates
Akioyamen P., Nicklas L. and Sanchez-Arias R.
- 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
2019
Unsupervised Learning on the Health and Retirement Study using Geometric Data Analysis
Sanchez-Arias R. and Batista R. W.
- 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
2019
Street Network Generation with Adjustable Complexity Using k-Means Clustering
Goss Q., Akbas M. I., Jaimes L. G. and Sanchez-Arias R.
- In: 2019 IEEE SoutheastCon, Huntsville, AL, USA, pp. 1-6, 2019. doi.org/10.1109/SoutheastCon42311.2019.9020392
2013
Sparse Fuzzy Techniques Improve Machine Learning
Sanchez R., Servin C., Argaez M.
- 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
2011
Sparse Representation via ℓ1-minimization for Underdetermined Systems in Classification of Tumors with Gene Expression Data
Sanchez R., Argaez M., Guillen P.
- 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
2011
Characterization of Subcortical Structures During Deep Brain Stimulation Utilizing Support Vector Machines
Guillen P., Martinez-de-Pinson F., Sanchez R., Argaez M., Velazquez L.
- 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
2011
An ℓ1-algorithm for Underdetermined Systems and Applications
Argaez, M., Ramirez, C., Sanchez, R.
- In: IEEE proceedings of the North American Fuzzy Information Processing Society, pp. 1 - 6. 2011. doi.org/10.1109/NAFIPS.2011.5752016
2010
Hybrid Optimization Schemes for Wing Modeling of Micro-Aerial Vehicles
Velazquez, L., Argaez, M., Sanchez, R., Ramirez, C., Hernandez, M., Culbreth, M., Jameson A.
- 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
TalksTalks
: Virtual Presentation
Invited as scientific session speaker in the area of statistics and data analysis for the conference sponsored by the Institute for Pure and Applied Mathematics (IPAM) at UCLA
The INFORMS Teaching Effectiveness Colloquium features speakers from business and engineering schools who address different aspects of incorporating and assessing effective teaching techniques in OR/MS/analytics undergraduate or graduate curriculum.
: Virtual Presentation
Through the support of the Wallace H. Coulter Foundation, the Department of Biomedical Engineering at FIU facilitates lectures by experts in all areas of Biomedical Engineering who provide a research seminar, meet with faculty and students, and learn about the academic and research facilities.
2025
AI-Enhanced Learning: Building Appreciation for the Mathematics Behind Machine Learning and Data Mining
Invited Speaker in the SIAM Minisymposium on “Navigating the Future of Higher Education: The Role of AI in Teaching, Research, and Extension”, part of the at the Joint Mathematics Meetings (JMM)
- Invited Talk, January 2025. Seattle, WA
2024
- Invited Talk. March 2024. Knoxville, TN.
2023
Data Analytics Panel
Panel Speaker in the IEOM 8th North American International Conference2023
Impact of Computing and Analytics in IEOM Careers
Webinar, South American Chapters, IEOM. With S. Taj and D. Demirel.
- Invited Talk. January 2023.
2022
- Invited Talk. July 2022. Los Angeles, CA.
2022
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
- Contributed Talk. June 2022. Orlando, FL.
2022
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 Pandemic2022
The Role and Impact of Applied Mathematics in Data Science and Machine Learning Applications
SIAM Student Chapter at Georgia Gwinnett College
- Invited Talk. April 2022.
2021
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)
- Invited Talk. November 2021.
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)
- Contributed Talk. November 2021.
2021
- Invited Talk. October 2021.
2021
Exploring Data Mining and Machine Learning Applications in STEM
Purdue University SROP, Bridges and NCN URE Seminar2021
The Big Role of Applied Mathematics and Statistics in Data Science
Miami Dade College (MDC) Mathematics and Statistics Awareness Month
- Invited Talk. April 2021.
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
- Invited Talk. April 2021.
2021
Finding Structure in Reddit With Text Mining and Dimensionality Reduction: the Case of Miscarriage Experiences
Healthcare Systems Process Improvement Conference
- Contributed Talk. February 2021.
2020
Teaching Science and Engineering Using Jupyter Notebooks
Summer 2020 Webinar Series Utilizing nanoHUB Tools for Materials Science Education
- Invited Talk. August 2020.
2020
Using Jupyter Notebooks for Data Analysis and Scientific Computing
Workshop Series for nanoHUB Florida Users Group2020
Unsupervised Learning Problems in Data Science
Board of Trustees Meeting. Florida Polytechnic University
- Invited Talk. February 2020. Lakeland, FL.
2018
Data Science of Social Networks
St. Thomas University, Library Lecture Series
- Invited Talk. April 2018. Miami, FL.
2017
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)
- Invited Talk. October 2017. Miami, FL.
2017
Data Science and Big Data Analytics for Social Good
Marines 4th Civil Affairs Group (CAG) Planning Exercise
- Invited Talk. July 2017. Miami, FL.
2016
A Duality Approach For Sparse Representation In Classification
SIAM Annual Meeting 2016
- Contributed Talk. July 2016. Boston, MA.
2014
Sparse Representation via ℓ1-optimization and Supervised Learning
Department of Biomedical Engineering Seminar. Universidad de Los Andes
- Invited Talk. July 2014. Bogota, Colombia.
2014
Sparse Regularization for Data Mining and Approximation
VIII Pan-American Workshop: Applied and Computational Mathematics. Universidad del Norte
- Contributed Talk. July 2014. Barranquilla, Colombia.
2014
Sparse Regularization for Data Mining and Approximation
Institute of Mathematical Sciences Seminar. Universidad de Antioquia
- Invited Talk. July 2014. Medellin, Colombia.
2013
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
- Invited Talk. November 2013. Cali, Colombia.
2012
Sparse Representation and Applications in Classification
UTEP 2nd Annual Graduate Research Expo
- Contributed Talk. November 2012. El Paso, TX.
2011
Sparse Representation via ℓ1-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
- Contributed Talk. August 2011. Boston, MA.
2011
An ℓ1-algorithm for Underdetermined Systems and Applications
North American Fuzzy Information Processing Society, NAFIPS 2011
- Contributed Talk. March 2011. El Paso, TX.
2010
Hybrid Optimization for Parameter Estimation Problems
The International Conference for High Performance Computing (SC10). Demonstration at AHPCRC booth
- Invited Talk. November 2010. New Orleans, LA.
2010
Hybrid Optimization Schemes for Parameter Estimation Problems
Army High Performance Research Computing Center (AHPCRC) Annual Review. Stanford University
- Contributed Talk. July 2010. Palo Alto, CA.
2009
A Path Following Method for Large Scale ℓ1-underdetermined Problems
6th Joint UTEP/NMSU Workshop on Mathematics, Computer Science and Computational Sciences
- Contributed Talk. November 2009. El Paso, TX.
2009
A Path Following Method for Large Scale ℓ1-underdetermined Problems
XVII Colombian Congress of Mathematics
- Contributed Talk. August 2009. Cali, Colombia.
Academic Supervision and MentoringAcademic Supervision and Mentoring
Former graduate students have pursued careers with IBM, MidFlorida Credit Union, Posit PBC (RStudio), Publix, Saddle Creek Logistics, The Hartford, Turner & Townsend, Florida International University, Air Force Institute of Technology, among others
Thesis and Graduate Project Advisor
Florida Polytechnic University, St. Thomas University
- 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
- 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)
Academic Advisor and Mentor
Fulbright Students
- Fulbright Germany Mentor Fall 2023.
Jan Hery (Karlsruhe University of Applied Sciences)
Semester abroad at Florida Polytechnic University, MS in Data Science coursework.
- Fulbright Germany Mentor Fall 2023, Spring 2024.
Alexander Burkhart
MS in Data Science, Florida Polytechnic University.
- Fulbright Germany Mentor Fall 2022, Spring 2023.
Tom Mann
MS in Engineering Management, Florida Polytechnic University.
- Fulbright Canada Killam Fellow Mentor Fall 2019.
Peter Akioyamen’s (Western University, Applied Mathematics and Data Science)
Semester abroad at Florida Polytechnic University.
Undergraduate Advisor
Florida Polytechnic University, St. Thomas University
- 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)
- 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)
ServiceService
Professional Affiliations:
Society for Industrial and Applied Mathematics (SIAM)
Institute for Operations Research and the Management Sciences (INFORMS)
Institute of Electrical and Electronics Engineers (IEEE)
Industrial Engineering and Operations Management (IEOM)
Present2024
University of North Carolina at Chapel Hill
Faculty Task Force for SDSS Artificial Intelligence Strategy
Search Committee Chair SDSS Teaching Assistant Professor (TAP AY25-26)
Search Committee Chair for MADS Section Instructor Position
Search Committe Member for SDSS Student Services Mananager Position
20242018
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
2022
Industrial Engineering and Operations Management Society
IEOM Conference Associate Chair
- 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.
2020
University of Tennessee at Chattanooga
Evaluation Panel Student Coding Bootcamp20182017
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
20162015
Wentworth Institute of Technology
Faculty Advisor, SIAM Student Chapter
Applied Mathematics Faculty Hiring Committee Member
20132011
The University of Texas at El Paso
UTEP SIAM Student Chapter Vice-president
UTEP Graduate Research Expo Judge (Fall 2012)
