seminar

Title: Bridging Theory and Practice - A Journey Through Applied Statistics Across Academia, Industry, and Consulting Venue and time: ISRT, 2:00 pm Speaker: Roman Ahmed, PhD, Senior Analytics Specialist (Statistics and Machine Learning) at Optus Australia Abstract: This presentation traces the learning and professional journey of a statistician who has navigated a diverse career across

Title: Bridging Theory and Practice - A Journey Through Applied Statistics Across Academia, Industry, and Consulting (Part 2) Venue and time: ISRT, 2:00 pm Speaker: Yeasmin Khandakar, PhD, Senior Data Scientist, Transurban Limited, Australia Abstract: In this presentation, Dr. Yeasmin Khandakar will share her journey emphasizing how challenges can be transformed into opportunities. The first part

Title: Imputation-Based Q-Learning for Optimizing Dynamic Treatment Regimes with Right-Censored Survival Outcome Venue, time and date: ISRT, 11:30 pm, February 4, 2025 Speaker: Abdus S. Wahed, PhD, Professor of Biostatistics, Department of Biostatistics and Computational Biology, University of Rochester, USA Abstract: Q-learning has been one of the most commonly used methods for optimizing dynamic treatment

Venue, time and date: ISRT, 2:00 pm, February 24, 2025 Speaker: Humayera Islam, PhD, Postdoctoral Scholar in Precision Health at the University of Chicago Talk 1 Title: From Statistical Models to LLMs: The Evolution of Feature Representation in Predictive Modeling Abstract: With the digitization of healthcare and public health systems, data collection has expanded far

Title: Variational Autoencoder Model for Exploring Latent Spaces in High-Dimensional Datasets Venue, time and date: ISRT, 12:15 pm, March 10, 2025 Speaker: Mashfiqul Huq Chowdhury, PhD, Associate Professor at Mawlana Bhashani Science and Technology University Abstract:  In this talk, I will focus on a probabilistic generative model known as the Variational Autoencoder (VAE). The VAE

Title: Understanding Causality: Rubin’s Potential Outcome Model and Philosophical Perspectives Venue, time and date: ISRT, 2:00 pm, May 5, 2025 Speaker: Nahian Nujhat, Bushra Chowdhury, Md. Mutasim Billah, Faria Rauf Ria, Maliha Binte Alauddin, Institute of Statistical Research and Training, University of Dhaka. Abstract:  Causal inference focuses on estimating cause-and-effect relationships, a key challenge in

Title: Sensor Data Analytics with Wearables and mm-Wave Radars for Digital Health Venue, time and date: ISRT, 2:00 pm, August 18, 2025 Speaker: Shekh Md Mahmudul Islam, Ph.D., Associate Professor in the Department of Electrical and Electronic Engineering at the University of Dhaka and Postdoctoral Fellow in the Department of Biomedical Engineering at Duke University,

Title: Causal Inference with Misclassified Exposure: Correcting the IPW Estimator Venue, time and date: ISRT, 2:00 pm, October 27, 2025 Speaker: Tarikul Islam, Lecturer, ISRT, University of Dhaka Abstract:  The inverse probability weighting (IPW) estimator is widely used for estimating the average treatment effect (ATE) in causal inference. However, the IPW estimator is prone to

Title: A Moment-Based Generalization To Post-Prediction Inference Venue, date and time: ISRT, 5 January 2026, 2 pm Speaker: Awan Afiaz, PhD candidate at the Department of Biostatistics, University of Washington Seattle, WA, USA and ISRT alumnus Abstract: As artificial intelligence (AI) and machine learning (ML) become increasingly integrated into scientific research, investigators frequently substitute predicted

Title: FertiMeter: A Data-Driven Innovation to Address the Reproductive Health Crisis of Polycystic Ovary Syndrome Venue, date and time: ISRT, 5 March 2026, 12:15 pm Speaker: K. M. Tanvir, Lecturer, ISRT, University of Dhaka Abstract: Background: Polycystic ovary syndrome (PCOS) affects around 12.5% of women in Bangladesh and is a major cause of infertility and