Undergraduate RIMMES (RESEARCH INITIATIONS IN MATHEMATICS, MATHEMATICS
EDUCATION AND STATISTICS) at Georgia State University
The Department of Mathematics and Statistics announces the twenty-first edition of the program
Undergraduate Research Initiations in Mathematics, Mathematics Education
and Statistics (for short, RIMMES), open to undergraduate students at
Georgia State University.
The program goal is to introduce undergraduate students to research in
mathematics, mathematics education and statistics. The program will teach
the students how to recognize interesting research problems, develop new
ideas, compare them to old ones, and present their findings in papers or
posters. The students will benefit from close interaction with faculty
members and their peers. Eligible mentors are faculty in the Department of Mathematics and Statistics. Any questions
regarding possible mentors should be addressed to Dr Enescu.
The students interested in pursuing a minor/major in Mathematics and Statistics are eligible to enroll in Math 4982 and receive credit for the work done for RIMMES towards the minor/major. Please ask Dr Enescu for details.
Duration of the program:
about five months starting with September 22, 2025 .
Application Form. Please apply by September 8, however late applications may be considered.
Structure:
the students accepted to this program will each be paired with a faculty
mentor and they will decide together on a research project and how to
organize their meetings. The faculty mentor will supervise the student and
make sure that appropriate progress is made. The student will prepare a
final project report in May 2025 and present in a departmental conference in April 2025.
Participants in year 2025-2026: October 2025 - May 2026
The participants are listed in alphabetically order, based on the mentor's last name.
Mentor: Dr Florian Enescu, Student: Sam Syed: Fan linear-maps and their support in the plane.
Mentor: Dr Li-Hsiang Lin Student: Avni Thapa: Exploring U.S. Life-Cycle Earnings Patterns: GAM Modeling with Missing-Data Imputation.
Mentor: Dr Russell Jeter, Students:
Abdul Malik Seyed: Data-driven Approach to Assessing Volitional Movement in Stroke Survivors;
Van Phan:DB-ATRG: The Density and BI-RADS - Aware Triage and Automatic Report Generation System for Mammography
Mentor: Dr Yi Jiang, Student: Praneeth Merugu: Solving Cross-diffusion Equations for Leader-Follower Cancer Invasion.
Mentor: Dr Yaroslav Molkov Student: Ivanna Poliashenko: Linking Axon Initial Segment Remodeling to Motoneuron Dysfunction After Spinal Cord Injury
Mentor: Dr Brian Pidgeon, Student: Priya Thompson: The Doubling Time Analysis for Modified Infectious Disease Richards Model with Applications to 2025-2026 Flu Data.
Mentor: Dr Pejman Sanaei, Student: Amy Sims: Continuum and electrostatic mathematical models for deposition in a filter.
Mentor: Dr Mohammad Shirazi Student: Adam Baig: On the computation for one-parameter subgroups of SL(4, R).
Mentor: Dr Alexandra Smirnova Student: Alexis Martinez: Adjoint Sensitivity Analysis for Epidemiological Modeling of Avian Influenza.
Mentor: Dr Yichuan Zhao, Students:
Li Xu, Ting Du:Application of Support Vector Machines for High-Dimensional Cancer Genomics Data Classification;
Haolin Lyu: Machine Learning–Based CHD Risk Prediction with Covariate-Adjusted Decision Thresholds;
Yumin Min, Xiaohan Sun: Statistical Modeling for Microbial Detection Based on Nanopore Sequencing Data
Haichuan Long, Minkuan Chen: Analysis of Diabetes Risk Factors;
Zihan Zhou, Jiewen Wang: Statistical Modeling of Voice Features in Parkinson's Disease
Nuoyan Chen, Jingyi Xia: Reprogramming Glutamine Metabolism via MYC Inhibition to Enhance CD8+ T Cell Cytotoxicity in Pancreatic Cancer:
Zhiyu Liu, Wenhan Yang: Piperacillin/Tazobactam versus Cefepime and the Risk of Acute Kidney Injury
Jingbo Yang, Sangit Gaire: Comparative Analysis of Genetic Expression Patterns and Lifestyle Factors in Obesity Using Statistical and Machine Learning Approaches;
Runxi Cao, Rui Gong: Chronic PFOS Exposure and Its Impact on Triple-Negative Breast Cancer (TNBC);
Haoqi Wang, Kainan Chen: A Study of Single-Neuron Encoding Using Generalized Linear Models (GLMs).
News from the 2024-2025 Edition:
The following students have completed succesfully the RIMMES program:
Adedamola Akapo, Abhijeet Balkikar, Paloma Hodje, Xuyang Sun, Haochen Ye, Abdul Seyed, Tianle Cao, Pable Fernandez, Amy Sims, Snigdha Addagarla, R Cao, Yongyan He, Qing Huang, Xinyan Li, Haolin Lyu, Ziheng Qiu, Animesh Shrestha, X Sun, Johan Thov, Hanhong Wan, Miaofei Yin, Enxi Zhang, Chengxi Zhou. Congratulations to them and their mentors: Drs. Belykh, Enescu, Jeter, Jiang, Sanaei, Yichuan Zhao.
News from the 2023-2024 Edition:
The following students have completed succesfully the RIMMES program:
E. Abel-Guobadia, A. Akapo, V. Bangrae, H. Cui, R. Ghosh, I. Goodspeed, Z. Huang, S. Kunnatha, M. James, P. Joseph, W. Genoway, L. Qin, A. Sims, K. Saber, X. Sun, Z. Tao, B. Vazquez, H. Ye, Y. Zhang. Congratulations to them and their mentors: Drs. Enescu, Kong, Jiang, Sanaei, Yichuan Zhao.
News from the 2022-2023 Edition:
The following students have completed succesfully the RIMMES program:
N. Anteau, D. Demin, M. Drotenko, P. Ilic, L. Mei, A. Nimbalkar, M. Quiros, A. Ramacharran, A. Samandari, B, Vazquez, S. Yellu, Y. Zhang, Z. Zhang. Congratulations to them and their mentors: Drs. Arav, Belykh, Enescu, Montiel, van der Holst, Ye, Yi Zhao, Yichuan Zhao.
News from the 2021-2022 Edition:
Dr Yi Zhao and his RIMMES student Abhijeet Bhalkikar have published their research on the RIMMES project from 2021-2022
in a Q1 journal (with impact factor 0.961):
On subgraphs of tripartite graphs, Discrete Mathematics 346 (2023), no. 1, Paper No. 113152
|