Awards
“The Excellence in Teaching Award is designed to encourage, reward, and publicly acknowledge sustained excellence in teaching by members of the University’s faculty. The 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: YouTube video announcing award
https://bit.ly/reiAblaze
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.
Refereed Articles in Journals
Award for Best Paper Published in 2021 in the Review of Regional Studies.
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
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
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
Refereed 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)
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 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
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
Talks
: 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.
Data Analytics Panel
Panel Speaker in the IEOM 8th North American International Conference
N/A
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
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.
Exploring Data Mining and Machine Learning Applications in STEM
Purdue University SROP, Bridges and NCN URE Seminar
N/A
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.
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
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.
Posters
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)
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
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
Parallel Global Optimization Schemes for Parameter Estimation Problems
The International Conference for High Performance Computing (SC08)
N/A
2008
- Austin, TX. November 2008.
Professional Development
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
Data Visualization Workshop
Southern Data Science Conference, Atlanta, GA, April 13, 2019.
N/A
N/A
Academic 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
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)
Academic Advisor and Mentor
Fulbright Students
N/A
N/A
- 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
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)
- 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)
Service
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)
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
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
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
