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X-WR-CALNAME:Institute of Applied Statistics and Data Science
X-ORIGINAL-URL:https://isrt.ac.bd
X-WR-CALDESC:Events for Institute of Applied Statistics and Data Science
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TZID:UTC
BEGIN:STANDARD
TZOFFSETFROM:+0000
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TZNAME:UTC
DTSTART:20250101T000000
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BEGIN:VEVENT
DTSTART;TZID=UTC:20260305T120000
DTEND;TZID=UTC:20260305T133000
DTSTAMP:20260304T100223Z
CREATED:20260221T064222Z
LAST-MODIFIED:20260304T100223Z
UID:8957-1772712000-1772717400@isrt.ac.bd
SUMMARY:Applied Statistics and Data Science Seminar on Thursday 05 March 2026
DESCRIPTION:Title: FertiMeter: A Data-Driven Innovation to Address the Reproductive Health Crisis of Polycystic\nOvary Syndrome \nVenue\, date and time: ISRT\, 5 March 2026\, 12:15 pm \nSpeaker: K. M. Tanvir\, Lecturer\, ISRT\, University of Dhaka \nAbstract: \nBackground:\nPolycystic ovary syndrome (PCOS) affects around 12.5% of women in Bangladesh and is a major cause of infertility and pregnancy complications. Although early detection can help manage symptoms and reduce risks\, nearly 70% of women remain undiagnosed due to limited awareness and inadequate access\nto medical care.\nObjectives:\nThis study aims to develop a data-driven machine learning model that predicts the likelihood of PCOS using non-clinical features and to integrate it into a mobile application\, FertiMeter.\nMethods:\nA total of 546 participants\, including 273 women diagnosed with PCOS and 273 without PCOS\, were enrolled in the study. The CatBoost machine learning algorithm was applied to develop a predictive model for PCOS status and the model was incorporated into the FertiMeter mobile application.\nKey Findings:\nUsing eight SHAP-selected non-clinical features\, the CatBoost model achieved an average cross-validated accuracy of 86%.\nConclusions:\nApproximately 6.7 million women in Bangladesh who remain undiagnosed with PCOS can use FertiMeter mobile application to assess their likelihood of having the condition free of cost.
URL:https://isrt.ac.bd/event/applied-statistics-and-data-science-seminar-on-monday-23-february-2026/
CATEGORIES:seminar
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BEGIN:VEVENT
DTSTART;TZID=UTC:20260410T150000
DTEND;TZID=UTC:20260514T213000
DTSTAMP:20260408T052830Z
CREATED:20250512T170620Z
LAST-MODIFIED:20260408T052830Z
UID:7859-1775833200-1778794200@isrt.ac.bd
SUMMARY:R for Applied Statistics and Data Science 2026
DESCRIPTION:The upcoming R training program starts on April 10\, 2026.\nFollow the website for details: https://isrt.ac.bd/training/r/
URL:https://isrt.ac.bd/event/r-for-applied-statistics-and-data-science-2025/
LOCATION:ISRT\, ISRT\, University of Dhaka\, Dhaka\, Bangladesh
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20260728T140000
DTEND;TZID=UTC:20260728T150000
DTSTAMP:20260723T055519Z
CREATED:20260723T053020Z
LAST-MODIFIED:20260723T055519Z
UID:9317-1785247200-1785250800@isrt.ac.bd
SUMMARY:ASDS Seminar on Tuesday 28 July 2026
DESCRIPTION:Title: Sir Ronald A. Fisher: The Father of Modern Statistics – His Life\, Contributions\, and Legacy \nVenue\, date and time: IASDS (former ISRT)\, 28 July 2026\, 2:00 pm \nSpeaker: Dr. Md. Hasinur Rahman Khan\, Professor\, IASDS\, University of Dhaka \nAbstract: \nSir Ronald A. Fisher (1890–1962) is widely regarded as the father of modern statistics and one of the most influential scientists of the twentieth century. Beyond statistics\, Fisher played a central role in establishing modern population genetics by integrating Mendelian genetics with Darwinian evolution. This lecture presents a chronological journey through Fisher’s life\, highlighting his scientific achievements\, major publications\, collaborations\, and intellectual debates with contemporaries. It also discusses his controversial views on eugenics and smoking\, offering a balanced perspective on his legacy.
URL:https://isrt.ac.bd/event/applied-statistics-and-data-science-seminar-on-tuesday-28-july-2026/
CATEGORIES:seminar
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