28th Joint UTEP/NMSU Workshop on Mathematics, Computer Science, and Computational Sciences

University of Texas at El Paso
El Paso, Texas
Saturday, November 5, 2022

Objective of the joint workshops series. The main objective of these workshops is to initiate and enhance the interaction, exchange of ideas, and possible collaboration.

History.

Objective of this workshop.

Location: Chemistry and Computer Science Building, Room CCSB G.0208

Local Organizers: Martine Ceberio, Vladik Kreinovich, Luc Longpre, and Ming-Ying Leung

Preliminary program:


   9:00- 9:05 am
  Opening

   9:05- 9:20 am
  Leonel Escapita, Department of Computer Science, UTEP
  Diana Licon, Department of Computer Science, UTEP
  Madison Anderson, Department of Computer Science, UTEP
  Diego Pedraza, Department of Computer Science, UTEP
  Vladik Kreinovich, Department of Computer Science, UTEP
  Word Representation: Explanation of an Empirical Formula
    slides in pdf

   9:20- 9:35 am
  Alan Gamez, Department of Computer Science, UTEP
  Antonio Aguirre, Department of Computer Science, UTEP
  Christian Cordova, Department of Computer Science, UTEP
  Alberto Miranda, Department of Computer Science, UTEP
  Vladik Kreinovich, Department of Computer Science, UTEP
  Resource Allocation for Multi-Tasking Optimization:
  Explanation of an Empirical Formula
    slides in pdf

   9:35- 9:50 am
  Alejandra De La Pena, Department of Computer Science, UTEP
  Damian L. Gallegos Espinoza, Department of Computer Science, UTEP
  Vladik Kreinovich, Department of Computer Science, UTEP
  Anomaly Detection in Crowdsourcing:
  Why Midpoints in Interval-Valued Approach
    slides in pdf

   9:50-10:05 am
  Adilene Alaniz, Department of Computer Science, UTEP
  Jiovani Hernandez, Department of Computer Science, UTEP
  Andres D. Munoz, Department of Computer Science, UTEP
  Vladik Kreinovich, Department of Computer Science, UTEP
  Hunting Habits of Predatory Birds:
  Explanation of an Empirical Formula
    slides in pdf

  10:05-10:20 am
  Hector Reyes, Department of Computer Science, UTEP
  Jeffrey Escamilla, Department of Computer Science, UTEP
  Ethan D. Kish, Department of Computer Science, UTEP
  Aaron D. Brown, Department of Computer Science, UTEP
  Vladik Kreinovich, Department of Computer Science, UTEP
  Need for Optimal Distributed Measurement of
  Cumulative Quantities Explains the Ubiquity of
  Absolute and Relative Error Components
    slides in pdf

  10:20-10:30 am break

  10:30-10:45 am
  Demetrius R. Hernandez, Department of Computer Science, UTEP
  George M. Molina Holguin, Department of Computer Science, UTEP
  Francisco Parra, Department of Computer Science, UTEP
  Vivian Sanchez, Department of Computer Science, UTEP
  Vladik Kreinovich, Department of Computer Science, UTEP
  Aquatic Ecotoxicology: Theoretical Explanation of Empirical Formulas
    slides in pdf

  10:45-11:00 am
  Alexis Lupo, Department of Physics, UTEP
  Vladik Kreinovich, Department of Computer Science, UTEP
  Dielectric Barrier Discharge (DBD) Thrusters --
  Aerospace Engines of the Future:
  Invariance-Based Analysis
    slides in pdf

  11:00-11:15 am
  Yuanhong Wu, Department of Mathematical Sciences, UTEP
  Michael Pokojovy, Department of Mathematical Sciences, UTEP
  Outlier Detection in High-Dimensional Datasets
  Using the MRCD Estimator

  11:15-11:30 am
  Michael Pokojovy, Department of Mathematical Sciences, UTEP
  Andrews T. Anum, Computational Science Program, UTEP
  A New Algorithm for Robust Affine-Invariant Clustering

  11:30-11:45 am
  Andrews T. Anum, Computational Science Program, UTEP
  John Koomson, Data Science Program, UTEP
  Michael Pokojovy, Department of Mathematical Sciences, UTEP
  Su Chen, Department of Biostatistics
    University of Nebraska Medical Center, Omaha, Nebraska
  Kernel Weighted Average Estimation for
  Calibrating a Heavy-Tailed Financial Model

  11:45-12:00 pm
  Honglun Xu, Data Science Program, UTEP
  Michael Pokojovy, Department of Mathematical Sciences, UTEP
  Tzu-Liang (Bill) Tseng, Department of Industrial, Manufacturing and Systems Engineering, UTEP
  Adaptive Minimum Confidence Region Rule with
  Bootstrap for Multivariate Initialization Bias Truncation

  12:00- 1:15 pm lunch (sponsored by El Paso Chapter of IEEE and by UTEP's
     Computational Science Program)

  12:30- 1:15 pm
  Poster session

   1:15- 1:30 pm
  Tom Fullerton, Department of Economics & Finance, UTEP
  Steven L. Fullerton, Department of Economics & Finance, UTEP
  Business Cycle Downturn Likelihood Estimation for Ciudad Juarez: 1990-2021

   1:30- 1:45 pm
  Peter Kwadwo Asante, Computational Science Program, UTEP
  Pablo Bustamante-Murguia, Computational Science Program, UTEP
  Wen-Yee Lee, Department of Chemistry and Biochemistry, UTEP
  Maria C. Mariani, Department of Mathematical Sciences, UTEP
  Michael Orosz, Data Science Program, UTEP
  Michael Pokojovy, Department of Mathematical Sciences, UTEP
  Two machine learning models for prostate cancer screening
  using urinary volatile organic compounds

   1:45- 2:00 pm
  Anass Bouchnita, Department of Mathematical Sciences, UTEP
  in collaboration with the UT COVID-19 Modeling Consortium and
    Austin Public Health
  Designing post-exposure vaccination strategies
  to contain the monkeypox outbreak in Travis County, Texas

   2:00- 2:15 pm
  Behzad Djafari Rouhani, Department of Mathematical Sciences, UTEP
  On some gradient systems of expansive type governed
  by a quasiconvex function

   2:15- 2:30 pm
  Chau Hoang, Department of Mathematical Sciences, NMSU
  Tuan Anh Phan, Institute for Modeling Collaboration and Innovation,
     University of Idaho, Moscow, Idaho
  Frederick L. Locke, Department of Blood and Marrow Transplant and
    Cellular Immunotherapy, H. Lee Moffitt Cancer Center and Research
    Institute, Tampa, Florida
  Jianjun Paul Tian, Department of Mathematical Sciences, NMSU
  Stochastic modeling of CAR T cell therapy with in
  silicon clinical trials

   2:30- 2:45 pm
  Abhijit Mandal, Department of Mathematical Sciences, UTEP
  Latin hypercube sampling for dependent inputs

   2:45- 3:00 pm
  Vahid Mohebbi, Department of Mathematical Sciences, UTEP
  Behzad Djafari Rouhani, Department of Mathematical Sciences, UTEP
  Approximation of common zeros of accretive operators and
  fixed points of multivalued nonexpansive mappings

   3:00- 3:15 pm
  Verya Monjezi, Department of Computer Science, UTEP
  Saeid Tizpaz-Niari, Department of Computer Science, UTEP
  Ashutosh Trivedi, Department of Computer Science,
    University of Colorado Boulder
  Gang Tan, Department of Computer Science & Engineering,
    Pennsylvania State University
  Detecting and Debugging of Discrimination in Deep Neural Networks

   3:15- 3:30 pm
  Andrew Pownuk, Department of Mathematical Sciences, UTEP
  Iwona Skalna, Department of Business Informatics
    & Management, AGH University of Science and Technology, Krakow, Poland
  Venkata Rama Rao Mallela, Department of Civil Engineering,
    Vasavi College of Engineering, Hyderabad, India
  Goal oriented self-adaptive development of online
  assignments based on autonomous computational methods

   3:30- 3:45 pm
  Miguel Peinado Portillo, Department of Mathematical Sciences, NMSU
  John Harding, Department of Mathematical Sciences, NMSU
  Canonical Extensions and Dual Frames

   3:45- 4:00 pm
  Poom Pianpak, Department of Computer Science, NMSU
  Tran Cao Son, Department of Computer Science, NMSU
  DMAPF - A Distributed Multi-Agent Path Finder

   4:00- 4:10 pm break

   4:10- 4:25 pm
  Jazmin Quezada, Department of Mathematical Sciences, UTEP
  Maria M. Mariani, Department of Mathematical Sciences, UTEP
  Osei K. Tweneboah
  Optimized Machine Learning Methodologies with Applications
  to Medical Diagnosis

   4:25 - 4:40 pm
  Clariandys Rivera-Kempis,
    Instituto de Estudios Superiores de Administracion (IESA), Caracas, Venezuela
  Leobardo Valera, Department of Mathematical Sciences, UTEP
  Minimizing the Loss Function of an
  Artificial Neural Network (ANN)
  Using Genetics Algorithm (GA)

   4:40- 4:55 pm
  Tingting Tong, Department of Mathematical Sciences, NMSU
  Xiangfei Chen, Department of Mathematical Sciences, NMSU
  Advisor: Tonghui Wang, Department of Mathematical Sciences, NMSU
  Flexible Generalized Skew Normal Distribution with Applications

   4:55- 5:10 pm
  Tingting Tong, Department of Mathematical Sciences, NMSU
  Tonghui Wang, Department of Mathematical Sciences, NMSU
  David Trafimow, Department of Psychology, NMSU
  Xiangfei Chen, Department of Mathematical Sciences, NMSU
  The A Priori Procedure (APP) for Estimating Standardized Regression
  Coefficients in Multiple Linear Model with Skew Errors

   5:10- 5:25 pm
  Ly Ly Trieu, Department of Computer Science, NMSU
  Tran Cao Son, Department of Computer Science, NMSU
  Explanation Generation Systems for Answer Set Programming, Tran Cao Son

   5:25- 5:40 pm
  Augustine Twumasi, Computational Science Program, UTEP
  Natasha S. Sharma, Computational Science Program, UTEP
  Ramakrishna Tipireddy, Pacific Northwest National Laboratory (PNNL)
  Sam Chatterjee, Pacific Northwest National Laboratory(PNNL)
  Towards Reinforcement Learning-Driven Mesh Adaptivity for
  Second Order Elliptic Problems

   5:40- 5:55 pm
  Janusz Kacprzyk, Systems Research Institute, Polish Academy of Sciences
  Olga Kosheleva, Department of Teacher Education, UTEP
  Vladik Kreinovich, Department of Computer Science, UTEP
  Towards a More Accurate Description of Human Decision Making:
  Satisficing Instead of Optimization
    slides in pdf

   5:55- 6:15 pm general discussion

Sponsors: