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.
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
Jorge Muñoz, 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
Sponsors: