Research output per year
Research output per year
Personal profile
Overview
Aysha Basheer is currently pursuing a joint PhD in Social Statistics at the University of Manchester (UoM) and the Max Planck Institute for Demographic Research (MPIDR), supervised by Prof. Arkadiusz (Arek) Wisniowski (UoM), Dr. Mark Brown (UoM), Emilio Zagheni (MPIDR), and Maciej Danko (MPIDR). She is a mathematics graduate from the Indian Institute of Science Education and Research (IISER) Pune.
Her PhD project focuses on developing data-driven approaches for estimating and forecasting human migration. Her long-term research goals include studying the causes and consequences of demographic change using mathematical, statistical, and computational methods. She aims to contribute to data-driven decision-making processes and effectively communicate her research insights to a wider audience.
Research interests
- Mathematical modelling
- Statistical learning
- Interdisciplinary studies
- Demography
- Epidemiology and population-based health interventions
- Differential equations
- Complex mathematical problem-solving
- Experimenting with R
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Master of Science, Mathematics, Indian Institute of Science Education and Research Pune
2019 → 2020
Bachelor of Science, Mathematics, Indian Institute of Science Education and Research Pune
2015 → 2019
External positions
International Max Planck Research School for Population, Health and Data Science
1 Nov 2024 → 31 Oct 2027
PhD Student, Max Planck Institute for Demographic Research
Jan 2024 → …
Keywords
- Bayesian Statistics
- Migration
- Mathematical Modelling
- Data-driven Methods
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Research output
- 2 Conference contribution
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TURBaN: A Theory-Guided Model for Unemployment Rate Prediction Using Bayesian Network in Pandemic Scenario
Das, M., Basheer, A. & Bandyopadhyay, S., 2023, Hybrid Intelligent Systems - 22nd International Conference on Hybrid Intelligent Systems HIS 2022. Abraham, A., Abraham, A., Hong, T.-P., Kotecha, K., Ma, K., Manghirmalani Mishra, P. & Gandhi, N. (eds.). p. 521-531 11 p. (Lecture Notes in Networks and Systems; vol. 647 LNNS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Theory-Guided Bayesian Analysis for Modeling Impact of COVID-19 on Gross Domestic Product
Basheer, A., Das, M. & Bandyopadhyay, S., 1 Nov 2022, TENCON 2022 - 2022 IEEE Region 10 Conference (TENCON).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Activities
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RAGS Seminar (Departmental Seminar)
Basheer, A. (Speaker)
29 Oct 2024Activity: Talk or presentation › Invited talk › Research
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Bayesian Methods for the Social Sciences II
Basheer, A. (Poster presenter) & Basheer, A. (Participant)
16 Oct 2024 → 18 Oct 2024Activity: Participating in or organising event(s) › Participating in a conference, workshop, exhibition, performance, inquiry, course etc › Research
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International migration in Central and Eastern Europe: changing patterns, determinants, and measurement challenges
Basheer, A. (Speaker)
17 Sept 2024Activity: Talk or presentation › Invited talk › Research
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Workshop on Bayesian Statistics for Demographic Science
Basheer, A. (Participant)
16 Sept 2024 → 20 Sept 2024Activity: Participating in or organising event(s) › Participating in a conference, workshop, exhibition, performance, inquiry, course etc › Research
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Social Statistics Event on Demographic Research
Basheer, A. (Speaker)
19 Jun 2024Activity: Talk or presentation › Invited talk › Research