ACM, the Association for Computing Machines, announced today that Manish Raghavan has been awarded the 2021 ACM Doctoral Thesis Award for his thesis “.Societal influences on algorithmic decision-making. Raghavan’s thesis makes significant contributions to understanding algorithmic decision-making and its societal implications, including foundational findings on issues of bias and fairness in algorithms.
Algorithmic justice is an area within artificial intelligence that has generated a great deal of public and media interest. Despite being at a very early stage in his career, Raghavan was one of the leading figures in shaping the direction and focus of this type of research.
Raghavan is a postdoctoral fellow at the Harvard Center for Computation and Society Research. His primary interests lie in the application of computational techniques to areas of social interest, including computational equity and behavioral economics, with a particular focus on the use of computational tools in the employment pipeline. Raghavan holds a bachelor’s degree in electrical engineering and computer science from the University of California, Berkeley, and master’s and doctoral degrees in computer science from Cornell University.
Honorable Mention For the 2021 PhD thesis award from ACM, go to Dimitris Tsipras of Stanford University, Pratul Srinivasan of Google Research and Benjamin Mildenhall of Google Research.
Dimitris Tsipras’ treatiseLearning through the lens of durabilityFor foundational contributions to the study of powerful machine learning (ML) and building powerful tools for training reliable machine learning models. Tsipras has made many groundbreaking contributions to one of the biggest challenges in ML today: getting ML truly ready for real-world deployment.
Tsipras is a postdoctoral researcher at Stanford University. His research focuses on understanding and improving the reliability of machine learning systems when faced with the real world. Tsipras holds a diploma in Electrical and Computer Engineering from the National Technical University of Athens, as well as SM and Ph.D. degrees in Computer Science from the Massachusetts Institute of Technology (MIT).
Pratul Srinivasan and Benjamin Mildenhall were jointly awarded honorable mention for their joint invention of the Neural Radiation Field Representation (NeRF), associated algorithms and theory, and their successful application to the display synthesis problem. Srinivasan thesis, “Scene representations to view synthesis with deep learning“and Mildenhall’s thesis,”Neural scene representations for synthesis display“a long-standing open problem in computer vision and computer graphics. This problem, called “sight aggregation” in vision and “disorganized light field rendering” in graphics, involves taking a few photographs of a scene and predicting new images from any intermediate view NeRF has already inspired an impressive volume of follow-up research, and associated publications have received some of the fastest citation rates in the computer graphics literature – hundreds in the first year after publication.
Srinivasan is a research scientist at Google Research, focusing on problems at the intersection of computer vision, computer graphics, and machine learning. He holds a Bachelor’s degree in Biomedical Engineering, a Bachelor’s degree in Computer Science from Duke University, and a Ph.D. in Computer Science from the University of California, Berkeley.
Mildenhall is a research scientist at Google Research, working on computer vision and graphics problems. He holds a Bachelor’s degree in Computer Science and Mathematics from Stanford University and a Ph.D. in Computer Science from the University of California, Berkeley.
About the PhD Thesis Award from ACM
Submit annually to the author(s) of the best doctoral dissertation(s) in computer science and engineering. PhD Thesis Award It is accompanied by an award of US$20,000, and the Honorary Mention Award is accompanied by a prize totaling US$10,000. The winning letters will be published in the ACM Digital Library as part of the ACM Book Series.
ACM, Association for Computing Machinery It is the world’s largest educational and scientific computing community, uniting computing educators, researchers, and professionals to inspire dialogue, share resources, and address field challenges. ACM strengthens the collective voice of the computing profession through strong leadership, promotion of the highest standards, and recognition of technical excellence. ACM supports the professional growth of its members by providing opportunities for lifelong learning, career development, and professional networking.
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