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She undertakes research on post-graduate research within higher education, and is an influential voice on social media on this topic. [8] In 2010, Mewburn started The Thesis Whisperer blog. Her work on this blog, grounded in her academic research, has earned her global recognition as an expert on topics in doctoral education and academic cultures.
She led a three-day Masterclass on machine learning at University College London in June 2018. [ 24 ] [ 25 ] Broderick is a scientific advisor for AI.Reverie and WiML ( Women in Machine Learning ). [ 26 ] [ 27 ] She has developed a high-school level introduction to machine learning with the Women's Technology Program (WTP). [ 28 ]
Himabindu "Hima" Lakkaraju is an Indian-American computer scientist who works on machine learning, artificial intelligence, algorithmic bias, and AI accountability.She is currently an Assistant Professor at the Harvard Business School and is also affiliated with the Department of Computer Science at Harvard University.
The bibliographic database (without full-text dissertations) is known as Dissertation Abstracts or Dissertation Abstracts International. PQDT annually publishes more than 90% of all dissertations submitted from accredited institutions of higher learning in North America as well as from colleges and universities in Europe and Asia.
Kaiming He (Chinese: 何恺明; pinyin: Hé Kǎimíng) is a Chinese computer scientist who primarily researches computer vision and deep learning. [2] He is an associate professor at Massachusetts Institute of Technology and is known as one of the creators of residual neural network (ResNet).
Tara Javidi is an Iranian electrical engineer and computer scientist who studies networked information, stochastic control, machine learning, hypothesis testing, network optimization, and network routing, among other topics.
Margaret Mitchell is a computer scientist who works on algorithmic bias and fairness in machine learning.She is most well known for her work on automatically removing undesired biases concerning demographic groups from machine learning models, [2] as well as more transparent reporting of their intended use.
Mila - Quebec AI Institute (originally Montreal Institute for Learning Algorithms) is a research institute in Montreal, Quebec, focusing mainly on machine learning research. Approximately 1000 students and researchers and 100 faculty members, were part of Mila in 2022. [ 1 ]