2024-2025 Colloquia

Title:  Revealing Randomness: Accessible Strategies for Deepening Statistical Understanding
Speaker: Dr. Venessa N. Singhroy (Queensborough COmmunity College)
Date: Monday, February 24, 2025 
Time: 2:00 pm - 2:50 pm
Room: S-214 

  

Abstract

Grasping the concept of random selection is essential for understanding statistical methodologies, yet students frequently struggle with its nuances. This presentation highlights an engaging instructional activity designed to clarify randomness while exposing inherent biases in human decision-making. Used in undergraduate Statistics and Psychology courses, the exercise asks students to select names, revealing misconceptions about randomness and the influence of cognitive biases. The findings underscore the importance of deeper comprehension and suggest refinements to enhance student engagement. By incorporating Data Visualization and Data Analysis, this multi-method approach integrates qualitative insights with quantitative assessment, offering a practical strategy for educators to strengthen students’ understanding of randomness in statistics.
Reference: Singhroy, V., Robertson, R., C Stroumbakis, K. Does a Name Make a Difference? Teaching Random Selection in the Classroom. Numeracy, 18(1), 2.
Title: Some Recent Results in Fractional Bessel-like Ordinary and Partial Differential Equations
Speaker: Dr. Pavel B. Dubovski, Stevens Institute of Technology, NJ
Date: Wednesday, October 16, 2024 
Time: 12:30 pm - 1:30 pm
Room: S-213 (Dr. Joseph Bertorelli Classroom)

  

Abstract

We study ordinary and partial differential equations involving fractional Bessel-like operators.
Our work presents new results on the existence and uniqueness of solutions and explores methods for constructing these solutions, particularly within the framework of fractional series. As a key outcome, the methods we propose, that combine integral transforms with fractional series, enable the analysis of quasi-Euler and constant-coefficient equations. Additionally, these techniques can be applied to elliptic-like PDEs with fractional Cauchy-Euler operators, which are a specific case of the Bessel operator. We also observe a hyper-dimensionality phenomenon in certain fractional differential equations, where an unexpectedly large number of linearly independent solutions exist. These theoretical findings are supported by computational evidence. The results presented are from joint work with L. Boyadzhiev and J. Slepoi.
In the second part of the talk, P. Dubovski will introduce a collaborative project on writing a textbook on fractional analysis. Currently, there is no comprehensive textbook suited for undergraduate or graduate students, and this project, in collaboration with De Gruyter publishers, aims to address that gap.
References:
Fract. Calc. Appl. Anal. 2021, 2022; IOIP Series 2021; J. Math. Sci. 2022; J. Appl. Analysis 2023; Mathematics 2024.

 

Short Bio:
P. Dubovski received his Ph.D. in Mathematical Physics from Moscow State University and his Dr.Sc. from the Institute of Numerical Mathematics, Russian Academy of Sciences. Since 2003, he has been with Stevens Institute of Technology. His research focuses on mathematical kinetics and modeling, integral equations, hydrodynamics, integrable probability, and fractional analysis.

Campus Cultural Centers

Kupferberg Holocaust Center exterior lit up at nightOpens in a new window
Kupferberg Holocaust Center Opens in a new window

The KHC uses the lessons of the Holocaust to educate current and future generations about the ramifications of unbridled prejudice, racism and stereotyping.

Russian Ballet performing at the Queensborough Performing Arts CenterOpens in a new window
QPAC: Performing Arts CenterOpens in a new window

QPAC is an invaluable entertainment company in this region with a growing national reputation. The arts at QPAC continues to play a vital role in transforming lives and building stronger communities.

Queensborough Art Gallery exterior in the afternoonOpens in a new window
QCC Art Gallery

The QCC Art Gallery of the City University of New York is a vital educational and cultural resource for Queensborough Community College, the Borough of Queens and the surrounding communities.