Transcription
Oscar Miguel Rivera-BorrotoHouston Community College System3100 Main Street, Houston, TX ra-borroto-98218184Education April 2014: PhD Mathematics, Central University of Las Villas (UCLV), Cuba.February 2014: PhD Chemistry, Autonomous University of Madrid (UAM), Spain.April 2008: MS Applied Mathematics, Central University of Las Villas (UCLV), Cuba.July 2003: BS Chemistry, Central University of Las Villas (UCLV), Cuba.*The first three degrees have been homologated by the US foreign credential evaluation organization ECE(www.ece.org)Professional Experience Sep 2021 to present: Visiting Assistant Professor with the Developmental Math Department at theHouston Community College (HCCS).Aug 2019 to Sep 2021: Adjunct Instructor of Mathematics at the Houston Community College(HCCS), Houston TX, US (Paid).July 2019 to present: Adjunct Instructor of Mathematics at the Lone Star College System (LSCS) –CyFair Campus, Houston TX, US (Paid).July 2016 to present: Part-Time Scientific Collaborator at Autonomous University of Madrid (UAM),Spain (Unpaid).Sep 2015 to July 2016: Full-Time Assistant Professor of Physics at Amazon State University (UEA),Ecuador (Paid).May 2015 to Sep 2015: Full-Time Assistant Professor of Calculus, Statistics, and Physics at PontificalCatholic University (PUCESE), Ecuador (Paid).September 2003 to April 2015: Full-Time Professor of Chemometrics, Organic Chemistry, andCalculus at Central University of Las Villas (UCLV), Cuba (Paid).January 2006 to April 2015: Full-Time Senior Research Scientist, Head of the CheminformaticsResearch Group at Center for Studies on Informatics (CEI), UCLV (Paid).January 2006 to April 2015: Adjunct Research Scientist at Unit of Computer-Aided MolecularDiscovery (CAMD-BIR Unit), Faculty of Chemistry and Pharmacy, UCLV (Unpaid).September 2003 to January 2006: Full-Time Junior Research Scientist, Head of the Laboratory“Physical Properties” at Center for Studies on Applied Chemistry (CEQA), UCLV (Paid).Research Areas Statistics and Chemometrics with emphasis on reliability of measurements, concordance andconsistency, coefficients of relational agreement, and ROC-based validation metrics.Cheminformatics with emphasis on QSAR, similarity-based prediction/classification algorithms,virtual screening of large medicinal chemistry data sets.Physical Chemistry with emphasis on instrumental methods for physicochemical characterization ofdrug candidates, agrochemicals, and oil derivatives.
Analytical Chemistry with emphasis on validation and application of analytical procedures usingguidelines ISO, FDA, and other standards.Applied Physics with emphasis on rheological characterization of (non-)Newtonian fluids.Postgraduate Courses (listed 2012 – present) Faculty Innovation Fellowship: Inquiry Based Learning. University of Texas at Austin's OnRampsProgram. Jan 7th – May 31st, 2021.Adjunct Certification Program. Lone Star College System. Sept 15th - Oct 20th, 2020.Online Learning Certification (Canvas). Houston Community College System. Jul 25th – Aug 21st,2020Full Online Teaching Certification (D2L). Lone Star College System. Jul 2st - Jul 29st, 2020.Adjunct Academy Certification Program. Houston Community College System. Sep 2019 – Jul 2020.Independent Applying the QM Rubric. QM Quality Assurance System. Mar 3rd - 5th, 2020.Didactic Strategies and Research Methods to Accomplish the Amazon State University’s EducationalModel. Department of Continuing Education, UEA. Mar 1st-11th, 2016.Social Problems of Science and Technology. Faculty of Social Sciences, UCLV. Nov 30 – Dec 14,2012.Applications of Bioinformatics. Plant Biotechnology Institute, UCLV. Jun 2012.Scholarships & Awards November 2016: Research Internship through the Emerging Leaders in the Americas Program (ELAP).University of Manitoba, Canada.February 2012: Annual Awards of the Cuban Academy of Science (ACC), “New Models to PredictMutations and Resistance to Drugs of the Viruses Influenza and HIV” (Scientific Collaborator).Habana, Cuba.May 2008: Provincial Award of the Ministry of Science, Technology, and Environment (CITMA),“Combined QSAR, TOMOCOMD-CARD, and chemometric tools to discover novel drug candidatesagainst Trichomonas Vaginalis”. Santa Clara, Cuba.November 2007 to January 2010: Scholarship of the “Doctorate Co-advising Program between theCuban Universities and the Autonomous University of Madrid”. Department of Physical Chemistry,Faculty of Sciences, UAM.July 2003: Acknowledgement for the Highest Academic Achievement. Faculty of Chemistry andPharmacy, UCLV.July 2003: BS Degree in Chemistry Rated Summa Cum Laude. Faculty of Chemistry and Pharmacy,UCLV.July 2003: Acknowledgement for Outstanding Service as Undergraduate Teaching Assistant. Facultyof Chemistry and Pharmacy, UCLV.April 2001: Award for the Theoretical Work “Vector Space R110 and Chemical Reactions”. The YouthTechnical Association, Faculty of Chemistry and Pharmacy, UCLV.Publications2
Refereed Journals (listed 2014 – present) J7. Santana-Dieguez K, Rivera-Borroto OM, et al. Dual inhibitors of α-amylase and α-glucosidasefor the diabetes treatment: A comparative study on fuzzy rules and classic machine learning techniques.Chem Biol Drug Design, April 2020 (SENT FOR REVIEW).J6. Santana-Dieguez K, Rivera-Borroto OM, et al. Beyond model interpretability using LDA anddecision trees for α-amylase and α-glucosidase inhibitor classification studies. Chem Biol Drug Design,94, 1414-1421, 2019.J5. Rodriguez-Rodriguez Y, Rivera-Borroto OM, Garcia-de la Vega JM, et al. Determination of goldin geological samples combining the fire assay and ultraviolet visible spectrophotometry techniques.Acad J Sci Res, 6, 27-33, 2018.J4. Dieguez-Santana K, Pham The H, Rivera-Borroto OM, et al. A two QSAR way for antidiabeticagents targeting using α-amylase and α-glucosidase inhibitors: model parameters settings in artificialintelligence techniques. Lett Drug Des Discov, 14, 862 – 868, 2017.J3. Rivera-Borroto OM, et al. Relational agreement measures for similarity searching ofcheminformatic data sets. IEEE/ACM Trans Comput Biol, 13, 158-167, 2016.J2. Marrero-Ponce Y, García-Jacas CR, Barigye SJ, Valdés-Martiní JR, Rivera-Borroto OM, et al.Optimum search strategies or novel 3D molecular descriptors: is there a stalemate? Curr Bioinform,10, 533-564, 2015.J1. Garcia-Jacas CR, Marrero-Ponce Y, Barigye SJ, Valdes-Martini JR, Rivera-Borroto OM, et al.N-linear algebraic maps for chemical structure codification: a suitable generalization for atom-pairapproaches? Curr Drug Metab, 15, 441-469, 2014.Books B3. Rivera-Borroto OM, et al. (2013). Tendency and validation measures for grouping algorithms:applications to Cheminformatics. Samuel Feijoó Monographs: Santa Clara, Cuba. ISBN 978-959-250896-5.B2. Rivera-Borroto OM, et al. (2012). Proximity models for the virtual screening of pharmacologicaldata sets. Samuel Feijoó Monographs: Santa Clara, Cuba. ISBN 978-959-250-811-8.B1. Rivera-Borroto OM, et al. (2011). Ward-like agglomerative strategies using cheminformatic datasets and molecular descriptors. Samuel Feijoó Monographs: Santa Clara, Cuba. ISBN: 978-959-250670-1.Refereed Conference Proceedings (listed 2014 – present) C4. Dieguez-Santana K, Amilkar Puris, Rivera-Borroto OM, et al. In silico toxicity prediction ofphenol derivatives with ISIDA descriptors using multiple linear regression and machine learningapproach. MOL2NET'20, Conference on Molecular, Biomedical, and Computational Sciences andEngineering, 6th Edi-tion, München, Germany-Chapel Hill, USA, Jan 2021, DOI: 10.3390/mol2net06-09110C3. Dieguez-Santana K, Amilkar Puris, Rivera-Borroto OM, et al. Dual inhibitors of α-amylase andα-glucosidase for the diabetes treatment: A fuzzy rules and machine learning approach. MOL2NET’20:International Conference on Multidisciplinary Sciences, 6th Edition, Jan 2021, DOI: 10.3390/mol2net06-091113
C2. Dieguez-Santana K, Rivera-Borroto OM, et al. A Simple Method to Classification α-Amylaseand α-Glucosidase Inhibitors Using LDA and Decision Trees. International Workshop on NaturalProducts and Agro-Industrial Processes in the Ecuadorian Amazon Region (MODEC2017). 3rdEdition. Puyo, Ecuador, Sep 2017, DOI: 10.3390/mol2net-03-04611C1. Pupo-Meriño M, Hernández-Diaz Y, Rivera-Borroto OM. A new group fusion method formerging similarity-based virtual screening results. 9th Congress of Chemical Sciences, Technologyand Innovation QUIMICUBA 2015, Havana, Cuba, Oct 13-16, 2015.Invention Disclosure Software FUSE 1.0. Authors: Hernandez-Diaz Y and Rivera-Borroto OM. Patented by NationalCopyright Center (CENDA), Case No. 2497-2012, Havana, Cuba, 2012.Software TODAEX 1.0. Authors: Rabassa-Gutierrez M and Rivera-Borroto OM. Patented by NationalCopyright Center (CENDA), Case No. 2498-2012, Havana, Cuba, 2012.Research Projects (listed 2014 – present) Sep 2015 – Sep 2016: Gerardo-Casañola M, Dieguez-Santana K, Pérez A, Rivera-Borroto OM, et al.Prediction of the aquatic toxicity of organic compounds in different biomarkers using ensemble andmulti-scale systems. UEA, Carleton University (Canada), Hanoi University of Pharmacy (Vietnam),and col. institutions.Jan 2014 – Sep 2015: Rivera-Borroto OM and Casañola Martin G. Mathematical-computational toolswith applications in Artificial Intelligence and Cheminformatics. CEI, and Faculty of EnvironmentalEngineering (PUCESE).Academic Evaluation Committees Thesis Advisor: four BS degrees in Computer Science, one BS degree in Agricultural Engineering,one MS degree in Community Development, and one MS degree in Computer Science.Panel of Expert Examiners: four BS degrees in Agro-Industrial Engineering, five BS degrees inComputer Science, four MS in Education Sciences, one MS in Pharmaceutical Sciences, one MS inApplied Mathematics, one MS in Computational Biology and Bioinformatics, and two PhD inChemistry.Other Activities Co-founder/Chair of MODEC, International Workshop on Natural Products and Agro-IndustrialProcesses in Ecuadorian Amazon Region (Editions 2017-2021). UEA, Ecuador.Former member of the American Mathematical Society.Expert for recognition, validation, and accreditation of academic credits (2015). PUCESE, Ecuador.Reviewer for the journals Chemical Papers (Slovakia), Affinity (Spain), and Annals of the RoyalNational Academy of Pharmacy (Spain).Language Skills TOEFL Test Preparation: The Insider’s Guide. MIT and Harvard’s edX. June 2019 – Apr 2020.4
Medium-Level German Course. Faculty of Human Sciences, UCLV, Feb 2006 – Jun 2006.Higher-Level English Course: Translation. Faculty of Human Sciences, UCLV, Mar 2005 – Jun 2005.Higher-Level English Course. Faculty of Human Sciences, UCLV, Oct 2004 – Feb 2005.Four-Level English Course. Language School “Miguel de Cervantes”. Santa Clara, Cuba, Sep 2003 –Jul 2004.Profesional References Dr. Jose Manuel Garcia de la Vega (UAM), garcia.delavega@uam.es, 34 686 810 681Dr. John Burghduff, John.B.Burghduff@lonestar.edu, 1 (281) 290-3291Dr. Maikel Cruz-Monteagudo, maikelcm@gmail.com, 1 (786) 803-9295Dr. Gladys Casas Cardoso, gladys.casas.cardoso@gmail.com, 1 (786) 290-39345
Lett Drug Des Discov, 14, 862 - 868, 2017. J3. Rivera-Borroto OM, et al. Relational agreement measures for similarity searching of cheminformatic data sets. IEEE/ACM . Engineering, 6th Edi-tion, München, Germany-Chapel Hill, USA, Jan 2021, DOI: 10.3390/mol2net-06-09110
