Maryam Najafian

Massachusetts Institute of Technology

H-index: 15

North America-United States

About Maryam Najafian

Maryam Najafian, With an exceptional h-index of 15 and a recent h-index of 12 (since 2020), a distinguished researcher at Massachusetts Institute of Technology, specializes in the field of Natural Language Processing, AI Fairness, Speech Recognition, Computer Vision.

His recent articles reflect a diverse array of research interests and contributions to the field:

4th ICMI Workshop on Bridging Social Sciences and AI for Understanding Child Behaviour

3rd ICMI Workshop on Bridging Social Sciences and AI for Understanding Child Behaviour

3rd Workshop on Bridging Social Sciences and AI for Understanding Child Behaviour

2nd ICMI Workshop on Bridging Social Sciences and AI for Understanding Child Behaviour

Exploring fairness in machine learning for international development

Reducing sentiment polarity for demographic attributes in word embeddings using adversarial learning

Automatic accent identification as an analytical tool for accent robust automatic speech recognition

A transparent framework for evaluating unintended demographic bias in word embeddings

Maryam Najafian Information

University	Massachusetts Institute of Technology
Position	Research Scientist at PhD University of Birmingham
Citations(all)	641
Citations(since 2020)	394
Cited By	317
hIndex(all)	15
hIndex(since 2020)	12
i10Index(all)	22
i10Index(since 2020)	16
Email	Access Email
University Profile Page	Massachusetts Institute of Technology
Google Scholar	View Google Scholar Profile

Maryam Najafian Skills & Research Interests

Natural Language Processing

AI Fairness

Speech Recognition

Computer Vision

Top articles of Maryam Najafian

Title	Journal	Author(s)	Publication Date
4th ICMI Workshop on Bridging Social Sciences and AI for Understanding Child Behaviour		Heysem Kaya Anouk Neerincx Maryam Najafian Saeid Safavi	2023/10/9
3rd ICMI Workshop on Bridging Social Sciences and AI for Understanding Child Behaviour		Anika van der Klis Heysem Kaya Maryam Najafian Saeid Safavi	2022/11/7
3rd Workshop on Bridging Social Sciences and AI for Understanding Child Behaviour		Anika van der Klis Heysem Kaya Maryam Najafian Saeid Safavi	2022/11/7
2nd ICMI Workshop on Bridging Social Sciences and AI for Understanding Child Behaviour		Saeid Safavi Heysem Kaya Roy S Hessels Maryam Najafian Sandra Hanekamp	2021/10/18
Exploring fairness in machine learning for international development		Yazeed Awwad Richard Fletcher Daniel Frey Amit Gandhi Maryam Najafian ...	2020/3/2
Reducing sentiment polarity for demographic attributes in word embeddings using adversarial learning		Chris Sweeney Maryam Najafian	2020/1/27
Automatic accent identification as an analytical tool for accent robust automatic speech recognition	Speech Communication	Maryam Najafian M. J. Russell	2020
A transparent framework for evaluating unintended demographic bias in word embeddings		Chris Sweeney Maryam Najafian	2019/7
Bridging Social Sciences and AI for Understanding Child Behaviour		Heysem Kaya Roy S Hessels Maryam Najafian Sandra Hanekamp Saeid Safavi	2020/10/21
Speech and language processing for assessing child–adult interaction based on diarization and location	International journal of speech technology	John HL Hansen Maryam Najafian Rasa Lileikyte Dwight Irvin Beth Rous	2019/9