11:30 - 12:00 Registration and Check-in (LITE Lobby)
12:00 - 1:00 Lunch (LITE Lobby)
1:00 - 2:40 Invited Sessions 1 - 3
Invited Session 1 (LITE Auditorium) Bayesian and Fiducial Inference with Applications Organizer: Kalimuthu Krishnamoorthy, University of Louisiana at Lafayette
A Socio-Demographic Latent Space Approach to Spatial Data for Small Area Estimation When Geography is Important but not All-Important
Scott Holan, University of Missouri
A Joint Confidence Set for a Ranking Based on Ordered Means
Thomas Mathew, University of Maryland Baltimore County
Generalized Fiducial Inference for Hybrid Discrete-Continuous Count Data
Kendall Thomas, University of North Carolina at Chapel Hill
Inference on Normal Coefficients of Variation and Survival Probabilities: One- and Two-Sample Cases
Samuel Simon, University of Louisiana at Lafayette
Invited Session 2 (LITE 157) Object Data Analysis in the AI Era Organizer: Vic Patrangenaru, Florida State University
Extrinsic Data Analysis
Vic Patrangenaru, Florida State University
Advances in BHV4 Analyses and AI Possibilities for Phylogenetic Tree Building
Garett Ordway, Pensacola Christian College
Extrinsic MANOVA for Oriented Projective Shape Analysis of 3D Faces
Musab Alamoudi, Florida State University
Object Data Analysis for Protein Structures
Ruiyang Sun, Florida State University
Invited Session 3 (LITE 161) Statistical and Machine Learning Methods for Nonstandard Data Structures Organizer: Mo Li, University of Louisiana at Lafayette
Data-Efficient Generative Modeling for LPBF Process Design
Xiyuan Liu, Louisiana Tech
A composite likelihood-based approach for multiple changepoint detection in snow cover count time series
QiQi Lu, Virginia Commonwealth University
Addressing Imbalance Data: Statistics Meets Computer Vision
Hossein Moradi Rekabdarkolaee, Bowling Green State University
Impact of Measurement Error on Machine Learning Performance and Interpretability
Tamer Oraby, University of Texas Rio Grande Valley
CAFT: A Compositional Log-Linear Model for Microbiome Data with Zero Cells
Mo Li, University of Louisiana at Lafayette
2:40 - 3:00 Welcoming Remarks (LITE Auditorium)
Kumer Das Chair, AISC 2026 Organizing Committee
Azmy Ackleh Dean, Ray P. Authement College of Sciences
3:00 - 3:50 Plenary Talk 1 (LITE Auditorium) Moderator: Kumer Das, University of Louisiana at Lafayette Frontiers of Statistics in Science and Engineering: 2035 and Beyond National Academies of Science, Engineering and Medicine Consensus Study
Katherine Bennett Ensor, Rice University
3:50 - 4:05 Break
4:05 - 5:05 Contributed Sessions 1 - 3
Contributed Session 1 (LITE Auditorium) Moderator: Subhash Bagui, University of West Florida
Contact Weighted Training and Multi Context Encoding for All Atom Inverse Protein Folding
Mithun Ranjan Kar, University of Louisiana at Lafayette
Quantifying the Pressure Experienced by Batters and Bowlers in T20 Cricket
Ananda Manage, Sam Houston State University
Stirling Numbers of the Second Kind: Properties and Applications in Mathematics and Statistics
Subhash Bagui, University of West Florida
Contributed Session 2 (LITE 157) Moderator: Calvin Berry, University of Louisiana at Lafayette
Revisiting Equity–Bond Diversification under Tail Risk and Structural Market Change: Evidence from Global ETFs and Option-Implied Dynamics
Farzana Afroz, Texas Tech University
A Study on the Influence of International Trade, Monetary Policy and Regime Shift, towards the Economic Growth in Sri Lanka
Ruwani Denagama Vitharanage, Texas Tech University
Testing multivariate normality of a large number of populations
Nurudeen Ajadi, University of Louisiana at Lafayette
Application of Market Basket Analysis to Identify Co-Occurring Substance Use Among Patients Admitted to Publicly Funded Substance Use Treatment Programs
Chesmi Kumbalatara, Southern Illinois University
Bayesian Spatial Causal Modeling of Asthma Prevalence in the United States
Rajitha Edirisingha Mudiyanselage, Texas Tech University
It’s Not Your Parents’ Income, It’s Your Neighbors’ Diplomas - A Cluster Analysis of Neighborhood Groups in Forsyth County, NC
Quoc Bui, Winston-Salem State University
5:05 - 5:20 Break
5:20 - 6:10 Plenary Talk 2 (LITE Auditorium) Moderator: Asim Dey, Texas Tech University Real-world Impacts from Statistical Research in Industry, Government, and Academe
Karen Kafadar, University of Virginia
6:10 - 7:00 Relax, Visit, and Set Up Posters (LITE Lobby)
7:00 - 8:30 Mixer and Poster Session (LITE Lobby)
7:00 - 8:30 Poster Session List
Probability of Antibiotic Resistance During Treatment in Stochastic PK/PD-Based Bacterial Model with Distinct Drug and Mutation Modes
Chimezie Izuazu, University of Louisiana at Lafayette
Advisor: Cameron Browne
Bayesian Spatiotemporal Modeling of County-Level Heart-Disease Mortality in the United States, 2000–2020
Kamlesh Sarkar, University of Louisiana at Lafayette
Advisor: Kumer Das
Time Series Analysis of Trait Evolution on Phylogenetic Trees of Amazonian Fish
Eric Sinegal, University of Louisiana at Lafayette
Advisor: Erez Aghion
Collaboration and Landscaping provide an Edge in Stochastic Search
Ayden Guilbeau, University of Louisiana at Lafayette
Advisor: Erez Aghion
When Help Cannot Reach Everyone: Understanding Disaster Preparedness, Accessibility, and Recovery Needs of People with Motor Disabilities and Caregivers.
Busayo L. Ayodele, University of Louisiana at Lafayette
Advisor: Tamanna Motahar
Analyzing Generative AI Use in Abusive Situations: Patterns of Support, Trust, and Safety
Warda Ruheen Bristi and Huxton J Marcus University of Louisiana at Lafayette
Advisor: Tamanna Motahar
Missing Not at Random: How Fear of Disclosure and the Disability Data Gap Distort Identity
Mashiyat Mahjabin Eshita, University of Louisiana at Lafayette
Advisor: Tamanna Motahar
Confidence-Aware Early Speech Emotion Recognition Under few-Shot Learning
Brett Keown, University of Louisiana at Lafayette
Advisor: Ashok Kumar
The Role of Refuge in a Discrete-Time Competition Model with an Allee Effect
Sajan Bhandari, University of Louisiana at Lafayette
Advisor: Azmy S. Ackleh
Modelling the spectroscopy and dynamics of atmospherically relevant ROO and QOOH radicals
Tanima Barua and Monotosh K Sarkar, University of Louisiana at Lafayette
Advisor: Tolga Karsili
Low-Temperature Dry Reforming of Methane over Ni-Based Composite-Oxide Catalysts: Operando DRIFTS–Guided Engineering of Coke-Resistant Interfaces
Godwin U Edor, University of Louisiana at Lafayette
Advisor: Hui Yan
Wavelet-Based Multiscale Analysis of Illumination and Noise for Robust Low-Light Image Enhancement
Azwaad Labiba Mohiuddin
Advisor: Ashok Kumar
Integrating Geochemistry and Microbial Activity in the Pecan Island Area with Coastal Change
Diana (Ana) Kreamer, Johnathan Pillsbury, Bibi Morium, Zubair Ahmed, Imran Ullah, Isaac Asiamah, Anasiberuje Sanni, Samuel Mensah,
Grace Landry, and Dreux Davis, University of Louisiana at Laayette, and Paul Helfrich, University of Maryland
Advisor: Alysia Cox
Computational Modeling of Ion Transport Dynamics in Ion Exchange Membranes for Improved Efficiency
Afeez O. Jimoh, University of Louisiana at Lafayette
Advisor: Erez Aghion
AI Tools Indicate Repeated Hurricanes Reshape Coastal Biodiversity
Jacob Badcock, University of Louisiana at Lafayette
Advisor: Craig R. McClain
Resource-Adaptive Machine Learning for Micronutrient Screening: Temporal Evaluation Across Repeated NHANES Cycles
Edidiong Akpan, University of Louisiana at Lafayette
Advisor: Min Shi
Automating Specific Leaf Area, SLA, Measurements Through Image Processing
Harold Forbis, University of Louisiana at Lafayette
Advisor: Nicholas Kooyers
G-SELC: An R Package for Sequential Optimization of Large Discrete Search Spaces
Charles Wu, University of Georgia
Advisor: Abhyuday Mandal
Generalized Fiducial Inference for Hybrid Discrete-Continuous Count Data
Kendall Thomas, University of North Carolina at Chapel Hill
Advisor: Jan Hannig
Testing multivariate normality of a large number of populations
Nurudeen Ajadi, University of Louisiana at Lafayette
Advisor: Yongli Sang
Fourier Ratio Bounds and Sensitivity to Sensor Placement
Christopher Housholder, Missouri State University
Binomial Edge Ideals and the Lefschetz properties for certain graph families
Gasper Ndokaj, Vassar College
Advisor: Steven Miller
Integration and Implementation Challenges of Shared Health Records in Bangladesh
Mohammad Rashid, Directorate General of Health Services, DGHS
Quality of Emergency Care in Selected Hospitals: A Cross-Sectional Study
Mohammad Islam, Ministry of Health and Family Welfare
Contact Weighted Training and Multi Context Encoding for All Atom Inverse Protein Folding
Mithun Ranjan Kar, University of Louisiana at Lafayette
Advisor: Kumer Das
Finite Difference Approach for a Hierarchical Size-Structured Predator-Prey Model
Md Kamruzzaman, University of Louisiana at Lafayette
Advisor: Azmy Ackleh
Saturday
7:45 - 8:30 Breakfast and Registration (LITE Lobby)
8:30 - 9:20 Plenary Talk 3 (LITE Auditorium) Moderator: Sat Gupta, University of North Carolina Greensboro Divide, Shrink, and Conquer: Estimation Strategies for Large-Scale Data
S. Ejaz Ahmed, Brock University, Ontario, Canada
9:20 - 9:35 Break
9:35 - 11:15 Invited Sessions 4 - 6
Invited Session 4 (LITE Auditorium) Advances in Sampling Theory and Practice Organizer: Sat Gupta, University of North Carolina Greensboro
Newer Innovations in Randomized Response Technique (RRT) Research
Sat Gupta, University of North Carolina Greensboro
Impact of Partial Randomized Response Technique on Stratified Calibration Estimators with Different Types of Distance Measures in the Presence of Measurement Error
Trisandhya Pidugu, Bharati Vidyapeeth's College of Engineering, New Delhi
Trust Enhancement in Binary Randomized Response Technique (RRT) Models
Mala Gupta, University of Texas Dallas
Optional Mixture Binary RRT Models Accounting for Trust Deficit and Measurement Errors
Pujita Sapra, High Point State University
Estimating Age Misrepresentation Among Collegiate Student Athletes in India: A Field Work Study Using a Mixture Binary RRT Model
Geeta Kalucha, University of Delhi
Invited Session 5 (LITE 157) Statistical methods and applications for time-to-event, longitudinal, and complex data Organizer: Mithun Kumar Acharjee, University of Southern Mississippi
Bayesian Tele-connected Spatial Clustering of Multivariate Spatial Data with Applications to Disease-Mapping
Srijato Bhattacharyya, Texas A&M University
Non-Homogeneous Continuous-time Markov Chain: Estimations and Challenges
Joonha Chang, Louisiana State University Health Science Center, New Orleans
SCG: Identifying Spatially Co-Expressed Genes Using Spatial Covariance Regression
Ihsan Buker, University of Alabama at Birmingham
Joint Smooth Direct Search for Learning Dynamic Treatment Regimes from Longitudinal Health Data
Nilson Chapagain, Texas A&M University
Bayesian Semiparametric Joint Multivariable Frailty Model for Multitype Recurrent Events and a Terminal Event
Mithun Kumar Acharjee, University of Southern Mississippi
Invited Session 6 (LITE 161) Innovations in Survival Analysis for Complex Biomedical Data Organizer: Samiran Sinha, Texas A&M University
High-dimensional Proportional Hazards Model with the Horseshoe+ Prior
Zhuanzhuan Ma, University of Texas Rio Grande Valley
High-Dimensional Survival Analysis: Which Methods Work for Feature Selection and Prediction?
Samiran Sinha, Texas A&M University
Semi-Supervised Learning for Measurement Error Correction in Survival Outcomes via Gaussian Process Survival Models
Yu-Chien Bo Ning, Texas A&M University
Quantifying Mediated Treatment Effects to Support Accelerated Approval Decision-Making in Oncology
Yiqing Chen, Texas A&M University
11:15 - 12:15 Lunch (LITE Lobby)
12:15 - 12:30 Group Photo (LITE Lobby)
12:30 - 1:20 Plenary Talk 4 (LITE Auditorium) Moderator: Mithun Kumar Acharjee, University of Southern Mississippi From Insight to Impact: Agentic AI and the Decision Architecture of Trustworthy Action
Ari Zitin, SAS Institute
1:20 - 1:35 Break
1:35 - 2:55 Contributed sessions 4 - 6
Contributed Session 4 (LITE Auditorium) Moderator: Mo Li, University of Louisiana at Lafayette
Statistical Analysis of Factors Associated with Early Initiation of Breastfeeding in Bangladesh: Evidence from BDHS 2022
Nihar Ranjan Sikder, University of North Florida
Fourier Ratio Bounds and Sensitivity to Sensor Placement
Christopher Housholder, Missouri State University
Distribution and Quantile Estimation in High-Dimensional Sparse Linear Models
Shuxia Sun, Wright State University
Semiparametric Validation of Earthquake Path Attenuation Using Perception-Based and Instrumental Data
Junhui Yang, Loyola Marymount University
Contributed Session 5 (LITE 157) Moderator: Mohammad Patwary, Butler University
Credible Rank Distributions for Bayesian Unit-Level Small Area Estimation
Arghadeep Basu, University of Georgia
A Hybrid MCMC-Optimization Framework for Efficient Sampling of Multimodal Bayesian Posterior Distributions
Lakshana Wickramasinghe, Lamar University
A Comparative Study of Vector Autoregressive, VAR, Bayesian Vector Autoregressive, BVAR, and Mixed-Frequency Bayesian Vector Autoregressive, MBVAR Models for Macroeconomic Forecasting
Shree Rajkumar Saha, The Graduate Center City University of New York
Estimating Two Missing Observations in Two-Way Fixed-Effects Linear Model Data
Mohammad Patwary, Butler University
Contributed Session 6 (LITE 161) Moderator: Yongli Sang, University of Louisiana at Lafayette
From Planning Steps to Candidate Polymers: Completion-Based Process Rewards for Property-Constrained TSMP Generation
Borun Das, University of Louisiana at Lafayette
How Emotional Intelligence and Positive Mental Health Drive Academic Performance: A Study of National University Undergraduates
Sajib Sarker, University of North Florida
Modeling Kidney Health Biomarkers Using Blood Heavy Metal Levels From Complex Survey Data
Sarah Czuba, High Point University
Machine Learning Approaches for Early Prediction of Ventilator-Associated Pneumonia Using EHR Data
Bao Maddux, Winston-Salem State University
2:55 - 3:10 Break
3:10 - 4:00 Plenary Talk 5 (LITE Auditorium) Moderator: Kalimuthu Krishnamoorthy, University of Louisiana at Lafayette Data Subsampling Strategies
John Stufken, George Mason University
4:00 - 4:15 Break
4:15 - 5:35 Invited Sessions 7 - 10
Invited Session 7 (LITE Auditorium) Undergraduate Student Research Organizer: Steven Miller, Williams College
The Rainbow Number for x + y = z2 in Zp2
Lucas Danburg and Ian Lundy, Fairfield University
The Sperner Scoring Game: From Parities to Probabilities
Simon Harnik, Bronx High School of Science
Binomial Edge Ideals and the Lefschetz properties for certain graph families
Gasper Ndokaj, Vassar College
Invited Session 8 (LITE 157) Recent Advances in Gini-Based Dependence Measures and Modern Classification Methods Organizer: Yongli Sang, University of Louisiana at Lafayette
The double descent behavior in two layer neural network for binary classification
Hailin Sang, University of Mississippi
Functional canonical correlation for discriminant analysis
Xin Dang, University of Mississippi
Grouped feature screening for ultrahigh-dimensional classification via Gini distance correlation
Yongli Sang, University of Louisiana at Lafayette
Invited Session 9 (LITE 161) Health Systems and Morbidity Organizer: Md. Shahjahan, Daffodil International University, Dhaka
Patients Satisfaction and Quality of Services at Community Clinics: An in-depth Study in Haor Region
Md. Shahjahan, Daffodil International University, Dhaka
Artificial Intelligence and Disability: A Path toward Inclusive Innovation
Mohd. Arifuzzaman, North Western University
Integration and Implementation Challenges of Shared Health Records in Bangladesh
Mohammad Rashid, Directorate General of Health Services, DGHS
Quality of Emergency Care in Selected Hospitals: A Cross-Sectional Study
Mohammad Islam, Ministry of Health and Family Welfare
Invited Session 10 (LITE 167) A Panoply of Statistical Methods Spanning Inference, Machine Learning, and Bioinformatics Organizer: Shesh Rai, University of Cincinnati
Designing and Analyzing for Valid Inferences of Large Databases involving High-throughput Observations – Part I
Shesh Rai, University of Cincinnati
Designing and Analyzing for Valid Inferences of Large Databases involving non-High-throughput Observations – Part II
Anand Seth, University of Cincinnati
Local and Global Optimization – A Decision Tree Perspective
MB Rao, University of Cincinnati
Sampling With or Without Replacement: A Comparative Study
MB Rao, University of Cincinnati and Tianyuan Guan, Kent State University
5:35 - 6:30 Relax, Listen to Musical Performance, and Visit (Russo Stadium Club, 201 Reinhardt Dr.)
8:30 - 9:20 Plenary Talk 6 (LITE Auditorium) Moderator: Calvin Berry, University of Louisiana at Lafayette The Future of Drug Development: AI as a Strategic Enabler
Hiya Banerjee, Eli Lilly and Company
IoT-Enabled Lean Six Sigma for Cleaner Production in Solar Photovoltaic Manufacturing: A Conceptual Framework for Sustainable Process Improvement
Ramisa Nawar Promee, First Solar, Inc.
Recurrent Myocardial Infarction-Heart Failure Trajectories and Terminal Mortality
Mohammad Tariquel Islam, University of South Alabama
Two Lenses on the Same Problem Space: Contrasting Predictive and Explanatory Statistical Approaches to E-Commerce Customer Behavior
Asadullah Ahmad, University of Louisiana at Lafayette
G-SELC: An R Package for Sequential Optimization of Large Discrete Search Spaces
Charles Wu, University of Georgia
Contributed Session 8 (LITE 157) Moderator: Kushani De Silva, Lamar University
Toward Statistically Rigorous Benchmarking of Stochastic and Hyperdimensional Computing Methods for Resource-Constrained Edge Vision
Mohammad Abdul Hannan, Independent Researcher
Computational Modeling of Ion Transport Dynamics in Ion Exchange Membranes for Improved Efficiency
Afeez O. Jimoh, University of Louisiana at Lafayette
AI Tools Indicate Repeated Hurricanes Reshape Coastal Biodiversity
Jacob Badcock, University of Louisiana at Lafayette
Quantification of joint and conditional climatic stress dependence on surface soil profile: Bayesian-copula approach on predictive drought index
Kushani De Silva, Lamar University
Contributed Session 9 (LITE 161) Moderator: Phillip Whitman, University of Louisiana at Lafayette
Multivariate Functional Inference and Gaussian Mixture Modeling of Joint Temperature-Precipitation Patterns in the U.S. South Central Region
Gihani Vidumini Wickramasinghe Wickramasinghe Disanayakage, Texas Tech University
A Machine Learning Pre-Audit Screening Tool for Industrial Energy Efficiency Assessment
Tamjeed Ahmed, University of Louisiana at Lafayette
Resource-Adaptive Machine Learning for Micronutrient Screening: Temporal Evaluation Across Repeated NHANES Cycles
Edidiong Akpan, University of Louisiana at Lafayette
Characterizing Seasonal Differences in Sperm Whale Activity in the Gulf Using a Generalized Linear Modeling Framework
Phillip Whitman, University of Louisiana at Lafayette
10:55 - 11:10 Break
11:10 - 12:30 Contributed Session 10
Contributed Session 10 (LITE Auditorium) Moderator: Calvin Berry, University of Louisiana at Lafayette
Confidence intervals for normal quantiles: one- and two-sample problems
Justin Dunnam, University of Louisiana at Lafayette
Automating Specific Leaf Area, SLA, Measurements Through Image Processing
Harold Forbis, University of Louisiana at Lafayette
Machine Learning in Stata via H2O
Zhao Xu, Stata Corp., Inc.
Integrating Persistent Homology and Multilevel Functional Data Analysis for Brain MRI
Asim Dey, Texas Tech University
