26th Joint UTEP/NMSU Workshop on Mathematics, Computer Science, and Computational Sciences

University of Texas at El Paso
El Paso, Texas
Saturday, November 6, 2021
in hybrid mode

URL: http://www.cs.utep.edu/vladik/utepnmsu21.html

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.

  • The 1st Joint Workshop on Mathematics and Computer Science was held in Las Cruces, New Mexico, on April 14, 2007.
  • The 2nd Joint Workshop on Mathematics and Computer Science was held in El Paso, Texas, on November 17, 2007.
  • The 3rd Joint Workshop on Mathematics and Computer Science was held in Las Cruces, New Mexico, on April 26, 2008.
  • The 4th Joint Workshop on Mathematics, Computer Science, and Computational Sciences was held in El Paso, Texas, on November 8, 2008.
  • The 5th Joint Workshop on Mathematics, Computer Science, and Computational Sciences was held in Las Cruces, New Mexico, on April 4, 2009.
  • The 6th Joint Workshop on Mathematics, Computer Science, and Computational Sciences was held in El Paso, Texas, on November 7, 2009.
  • The 7th Joint Workshop on Mathematics, Computer Science, and Computational Sciences was held in Las Cruces, New Mexico, on April 3, 2010.
  • The 8th Joint Workshop on Mathematics, Computer Science, and Computational Sciences was held in El Paso, Texas, on November 10, 2010.
  • The 9th Joint Workshop on Mathematics, Computer Science, and Computational Sciences was held in Las Cruces, New Mexico, on April 2, 2011.
  • The 10th Joint Workshop on Mathematics, Computer Science, and Computational Sciences was held in El Paso, Texas, on November 5, 2011.
  • The 11th Joint Workshop on Mathematics, Computer Science, and Computational Sciences was held in Las Cruces, New Mexico, on March 31, 2012.
  • The 12th Joint Workshop on Mathematics, Computer Science, and Computational Sciences was held in El Paso, Texas, on October 27, 2012.
  • The 13th Joint Workshop on Mathematics, Computer Science, and Computational Sciences was held in Las Cruces, New Mexico, on April 6, 2013.
  • The 14th Joint Workshop on Mathematics, Computer Science, and Computational Sciences was held in El Paso, Texas, on November 2, 2013.
  • The 15th Joint Workshop on Mathematics, Computer Science, and Computational Sciences was held in El Paso, Texas, on November 1, 2014.
  • The 16th Joint Workshop on Mathematics, Computer Science, and Computational Sciences was held in Las Cruces, New Mexico, on April 11, 2015.
  • The 17th Joint Workshop on Mathematics, Computer Science, and Computational Sciences was held in El Paso, Texas, on November 7, 2015.
  • The 18th Joint Workshop on Mathematics, Computer Science, and Computational Sciences was held in Las Cruces, New Mexico, on April 2, 2016.
  • The 19th Joint Workshop on Mathematics, Computer Science, and Computational Sciences was held in El Paso, Texas, on November 5, 2016.
  • The 20th Joint Workshop on Mathematics, Computer Science, and Computational Sciences was held in Las Cruces, New Mexico, on April 8, 2017.
  • The 21st Joint Workshop on Mathematics, Computer Science, and Computational Sciences was held in El Paso, Texas, on November 4, 2017.
  • The 22nd Joint Workshop on Mathematics, Computer Science, and Computational Sciences was held in Las Cruces, New Mexico, on April 7, 2018.
  • The 23rd Joint Workshop on Mathematics, Computer Science, and Computational Sciences was held in El Paso, Texas, on November 3, 2018.
  • The 24th Joint Workshop on Mathematics, Computer Science, and Computational Sciences was held in Las Cruces, New Mexico, on April 6, 2019.
  • The 25th Joint Workshop on Mathematics, Computer Science, and Computational Sciences was held in El Paso, Texas, on November 2, 2019.

Objective of this workshop.

  • to bring in researchers in Math, Computer Science, and Computational Sciences who are collaborating and/or who are interested in collaboration;
  • to bring in researchers from outside our research areas who are interested in collaborating with Math, Computer Science, and Computational Sciences researchers.

Location: UTEP Campus, Chemistry and Computer Science Building Room 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
  Emil Daniel Schwab, Department of Mathematical Sciences, UTEP
  Gabriela Schwab, Department of Mathematics, El Paso Community College
  The Mobius Function and Fibonacci Numbers

   9:20- 9:35 am
  Ishraq Al-Awamleh, Department of Mathematical Sciences, NMSU
  Robert G. Smits, Department of Mathematical Sciences, NMSU
  Discrete Averaging Properties for Nonlinear Elliptic PDEs

   9:35- 9:50 am
  Edwin Tomy George, Department of Computer Science, UTEP
  Jorge Muñoz, Physics Department, UTEP
  Olac Fuentes, Department of Computer Science, UTEP
  Computational Design of Materials via Convolutional Neural Networks

   9:50-10:05 am
  Andrews T. Anum, Computational Science Program, UTEP
  Michael Pokojovy, Department of Mathematical Sciences, UTEP
  A Hybrid Method for Density Power Divergence
  Minimization with Application to Robust Univariate
  Location and Scale Estimation

  10:05-10:20 am
  Xiangfei Chen, Department of Mathematical Sciences, NMSU
  Tingting Tong, Department of Mathematical Sciences, NMSU
  Tonghui Wang, Department of Mathematical Sciences, NMSU
  David Trafimow, Department of Psychology, NMSU
  Cong Wang, University of Nebraska-Omaha
  The APP procedure for estimating the Cohen's effect size

  10:20-10:30 am break

  10:30-10:45 am
  Adrian De la Rocha, Physics Department, UTEP
  Valeria Arteaga, Physics Department, UTEP
  Vanessa Meraz, Physics Department, UTEP
  Sofia Gomez, Department of Mechanical Engineering, UTEP
  Yu-Hang Tang, Lawrence Berkeley National Laboratory
  Edwin Tomy George, Department of Computer Science, UTEP
  Wibe A. de Jong, Lawrence Berkeley National Laboratory
  Jorge Muñoz, Physics Department, UTEP
  Linear tensor fits and marginalized graph kernels
  as means for novel machine learning molecular dynamics

  10:45-11:00 am
  Behzad Djafari Rouhani, Department of Mathematical Sciences, UTEP
  Asymptotic Analysis of a Nonlinear Oscillator with Damping

  11:00-11:15 am
  Ebenezer Nkum, Data Science Program, UTEP
  Michael Pokojovy, Department of Mathematical Sciences, UTEP
  Thomas M. Fullerton Jr., Department of Economics and Finance, UTEP
  Xianyi Zeng, Department of Mathematical Sciences, UTEP
  Simultaneous Forecasting of Yield Curves for Multiple
  Zero-Coupon Bonds Using Heath-Jarrow-Morton Model

  11:15-11:30 am
  Oscar Galindo, Department of Computer Science, UTEP
  Christopher Ibarra, Department of Computer Science, UTEP
  Vladik Kreinovich, Department of Computer Science, UTEP
  Michael Beer, Leibniz University Hannover, Germany
  Fourier Transform and Other Quadratic Problems
  under Interval Uncertainty
    slides in pdf

  11:30-11:45 am
  Sofia Holguin, Department of Computer Science, UTEP
  Vladik Kreinovich, Department of Computer Science, UTEP
  Why Residual Neural Networks
    slides in pdf

  11:45-12:00 pm
  Toshiki Kamio, Department of Computer Science, UTEP
  Gavin Baechle, Department of Computer Science, UTEP
  Vladik Kreinovich, Department of Computer Science, UTEP
  Decision Making Under Uncertainty:
  Case When We Only Know an Upper Bound
  or a Lower Bound
    slides in pdf

  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
  Abhijit Mandal, Department of Mathematical Sciences, UTEP
  Beste Hamiye Beyaztas, Department of Statistics, Istanbul Medeniyet University, Turkey
  Soutir Bandyopadhyay, Department of Applied Mathematics, Statistics Colorado School of Mines, USA
  Robust Density Power Divergence Estimates for Panel Data Models

   1:30- 1:45 pm
  Vanessa Meraz, Physics Department, UTEP
  Sofia Gomez, Department of Mechanical Engineering, UTEP
  Valeria Arteaga, Physics Department, UTEP
  Adrian De La Rocha, Physics Department, UTEP
  Tess Smidt, Lawrence Berkeley National Lab
  Sara Kadkhodaei, Civil and Materials Engineering Department, University of Illinois at Chicago (UIC)
  Wibe A. de Jong, Lawrence Berkeley National Laboratory
  Jorge Muñoz, Physics Department, UTEP
  Zirconium Machine Learned Potential
  Trained on a Euclidean Neural Network

   1:45- 2:00 pm
  Ricardo Mendez, Department of Computer Science, UTEP
  Osagumwenro Osaretin, Department of Computer Science, UTEP
  Vladik Kreinovich, Department of Computer Science, UTEP
  How to Gauge the Quality of a Multi-Class Classification
  When Ground Truth Is Known with Uncertainty
    slides in pdf

   2:00- 2:15 pm
  Adan J. Mireles, Department of Metallurgical and Materials Engineering, UTEP
  Interregular Polygons and the Discrete Dynamics of
  Restricted Polygon Stacking

   2:15-2:30 pm
  Vahid Mohebbi, Department of Mathematical Sciences, UTEP
  Behzad Djafari Rouhani, Department of Mathematical Sciences, UTEP
  Strong Convergence of an Inexact Proximal Point
  Algorithm In Hadamard Spaces

   2:30- 2:45 pm
  Daniela Flores, Department of Computer Science, UTEP
  Olga Kosheleva, Department of Teacher Education, UTEP
  Vladik Kreinovich, Department of Computer Science, UTEP
  Why Geological Regions?
    slides in pdf

   2:45- 3:00 pm
  R. Noah Padilla, Department of Computer Science, UTEP
  Vladik Kreinovich, Department of Computer Science, UTEP
  Why Moments (and Generalized Moments)
  Are Used in Statistics and Why Expected
  Utility Is Used in Decision Making:
  A Possible Explanation
    slides in pdf

   3:00- 3:15 pm
  Andrew Pownuk, Department of Mathematical Sciences, UTEP
  Applications of Autonomous Computational Methods and In Online Learning

   3:15- 3:30 pm
  Md Fashiar Rahman, Computational Science Program, UTEP
  Tzu-Liang (Bill) Tseng, Department of Industrial, Manufacturing and Systems Engineering, UTEP
  Michael Pokojovy, Department of Mathematical Sciences, UTEP
  Wei Qian, Department of Electrical and Computer Engineering, UTEP
  Basavarajaiah Totada, Computational Science Program, UTEP
  Honglun Xu, Computational Science Program, UTEP
  An Automatic Approach to Lung Region Segmentation
  in Chest X-Ray Images Using Adapted U-Net Architecture

   3:30- 3:45 pm
  Christopher Reyes, Department of Computer Science, UTEP
  Vladik Kreinovich, Department of Computer Science, UTEP
  Why Do People Become Addicted: Towards a Theoretical Explanation
  for Eyal's Experiment-Based Hook Model
    slides in pdf

   3:45 - 4:00 pm
  Hector Reyes, Department of Computer Science, UTEP
  Dillon Trinh, Department of Computer Science, UTEP
  Vladik Kreinovich, Department of Computer Science, UTEP
  Fault Detection in a Smart Electric Grid: Geometric Analysis
    slides in pdf

   4:00- 4:15 pm
  Homero Reyes Pulido, Physics Department, UTEP
  Electronic structure effects of FeV at high pressure

   4:15- 4:30 pm
  Arturo Rodriguez, Department of Mechanical Engineering, UTEP
  Andres Enriquez, Department of Mechanical Engineering, UTEP
  Jose Terrazas, Department of Mechanical Engineering, UTEP
  Daniel Villanueva, Department of Mechanical Engineering, UTEP
  Brandon Paez, Department of Mechanical Engineering, UTEP
  Nicholas Dudu, Department of Mechanical Engineering, UTEP
  Rafael Baez, Department of Mechanical Engineering, UTEP
  Christopher Harris, Imperial College London
  Vinod Kumar, Department of Mechanical Engineering, UTEP
  Predicting Boundary-Layer Transition (BLT) Using
  Artificial Intelligence (AI) Causality Inference

   4:30- 4:45 pm
  Md Shamsul Alam, Data Science Program, UTEP
  Title TBA

   4:45- 4:55 pm break

   4:55- 5:10 pm
  Javier Tellez, Department of Computer Science, UTEP
  Wenbo Xie, Department of Computer Science, UTEP
  Vladik Kreinovich, Department of Computer Science, UTEP
  Commonsense "And"-Operations
    slides in pdf

   5:10- 5:25 pm
  David Amparan, Department of Computer Science, UTEP
  Vladik Kreinovich, Department of Computer Science, UTEP
  Why People Overestimate Small Probabilities?
    slides in pdf

   5:25- 5:40 pm
  Tingting Tong, Department of Mathematical Sciences, NMSU
  Tonghui Wang, Department of Mathematical Sciences, NMSU
  David Trafimow, Department of Psychology, NMSU
  Cong Wang, University of Nebraska-Omaha
  The probability of being better or worse off, and
  by how much, depending on experimental
  conditions with skew normal populations

   5:40- 5:55 pm
  Cong Wang, University of Nebraska-Omaha
  Tonghui Wang, Department of Mathematical Sciences, NMSU
  David Trafimow, Department of Psychology, NMSU
  The APP for estimating population proportion based on skew
  normal approximations and the Beta-Bernoulli process

   5:55- 6:10 pm
  Tonghui Wang, Department of Mathematical Sciences, NMSU
  Tingting Tong, Department of Mathematical Sciences, NMSU
  David Trafimow, Department of Psychology, NMSU
  Cong Wang, University of Nebraska-Omaha
  The APP for Estimating the Mean in Both Log-normal and
  Gamma Populations and Robustness for Assumption Violations

   6:10- 6:25 pm
  Joshua Zamora, Department of Computer Science, UTEP
  Vladik Kreinovich, Department of Computer Science, UTEP
  Why Ovals in Eliciting Intervals?
    slides in pdf

  6:25- 6:40 pm
  Peter K. Asante, Computational Science Program, UTEP
  Maria C. Mariani, Department of Mathematical Sciences, UTEP
  Osei K. Tweneboah, Ramapo College of New Jersey
  William Kubin, Computational Science Program, UTEP
  Modeling US Stock Market Data With A
  Superposed Ornstein-Uhlenbeck SDE
  driven by a Levy process

   6:40- 6:55 pm
  William Kubin, Computational Science Program, UTEP
  Maria C. Mariani, Department of Mathematical Sciences, UTEP
  Peter K. Asante, Computational Science Program, UTEP
  Joe A. Guthrie, Department of Mathematical Sciences, UTEP
  Osei K. Tweneboah, Ramapo College of New Jersey
  Cantor Detrended Fluctuation Analysis

   6:55- 7:15 pm General discussion

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