Afsana Khan Email & Phone Number | As a PhD Candidate at the Department of Advanced Computing Sciences (DACS) at Maastricht University, I am passionate about advancing federated learning, a novel paradigm of machine learning that enables distributed and collaborative learning without compromising data privacy. My research focuses on developing concepts, techniques, and prototype technologies for federated learning on vertically partitioned data, which is a challenging and underexplored scenario where different parties hold different features of the same data instances. I aim to apply my research to real-world domains such as healthcare, maintenance, or logistics, where federated learning can offer significant benefits in terms of data quality, scalability, and security. I am eager to learn new things, collaborate with diverse and talented researchers, and contribute to the state-of-the-art in federated learning.

Afsana Khan

As a PhD Candidate at the Department of Advanced Computing Sciences (DACS) at Maastricht University,...
Maastricht, Maastricht, Netherlands

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Afsana Khan’s Email a.khan@maastrichtuniversity.nl

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Afsana Khan’s Location Maastricht, Maastricht, Netherlands

Afsana Khan’s Current Industry Maastricht University

Afsana Khan’s Prior Industry University Of Tartu | University Of Tartu Institute Of Computer Science | Daffodil International University Diu | Southtech | Bracnet

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Work Experience

Maastricht University

Teaching Assistant

2022-02-01 00:00:00 - Present

University Of Tartu

Summer School Participant

2023-08-01 00:00:00 - 2023-08-01 00:00:00

University Of Tartu Institute Of Computer Science

Research Assistant

2019-11-01 00:00:00 - 2021-06-01 00:00:00

Daffodil International University Diu

Lecturer

2018-05-01 00:00:00 - 2019-08-01 00:00:00

Southtech

Junior Programmer (Intern)

2018-04-01 00:00:00 - 2018-05-01 00:00:00

Bracnet

Industrial Trainee

2016-12-01 00:00:00 - 2017-01-01 00:00:00

Skills

No Skills Available

Languages

No Languages Available

FAQ About Afsana Khan

Afsana Khan is located at
Maastricht, Maastricht, Netherlands

Afsana Khan is a As a PhD Candidate at the Department of Advanced Computing Sciences (DACS) at Maastricht University, I am passionate about advancing federated learning, a novel paradigm of machine learning that enables distributed and collaborative learning without compromising data privacy. My research focuses on developing concepts, techniques, and prototype technologies for federated learning on vertically partitioned data, which is a challenging and underexplored scenario where different parties hold different features of the same data instances. I aim to apply my research to real-world domains such as healthcare, maintenance, or logistics, where federated learning can offer significant benefits in terms of data quality, scalability, and security. I am eager to learn new things, collaborate with diverse and talented researchers, and contribute to the state-of-the-art in federated learning.

Afsana Khan currently works in the Maastricht University |

No Languages Available

Afsana Khan has prior
experience in the following industries:
University Of Tartu | University Of Tartu Institute Of Computer Science | Daffodil International University Diu | Southtech | Bracnet

Afsana Khan has the following professional experience:
Maastricht University | University Of Tartu | University Of Tartu Institute Of Computer Science | Daffodil International University Diu | Southtech | Bracnet