Related Research Articles
Pierre Baldi is a distinguished professor of computer science at University of California Irvine and the director of its Institute for Genomics and Bioinformatics.
Heung-Yeung "Harry" Shum is a Chinese computer scientist. He was a doctoral student of Raj Reddy. He was the Executive Vice President of Artificial Intelligence & Research at Microsoft. He is known for his research on computer vision and computer graphics, and for the development of the search engine Bing.
Toby Walsh is Chief Scientist at UNSW.ai, the AI Institute of UNSW Sydney. He is a Laureate fellow, and professor of artificial intelligence in the UNSW School of Computer Science and Engineering at the University of New South Wales and Data61. He has served as Scientific Director of NICTA, Australia's centre of excellence for ICT research. He is noted for his work in artificial intelligence, especially in the areas of social choice, constraint programming and propositional satisfiability. He has served on the Executive Council of the Association for the Advancement of Artificial Intelligence.
Matti Kalevi Pietikäinen is a computer scientist. He is currently Professor (emer.) in the Center for Machine Vision and Signal Analysis, University of Oulu, Finland. His research interests are in texture-based computer vision, face analysis, affective computing, biometrics, and vision-based perceptual interfaces. He was Director of the Center for Machine Vision Research, and Scientific Director of Infotech Oulu.
Anil Kumar Jain is an Indian-American computer scientist and University Distinguished Professor in the Department of Computer Science & Engineering at Michigan State University, known for his contributions in the fields of pattern recognition, computer vision and biometric recognition. He is among the top few most highly cited researchers in computer science and has received various high honors and recognitions from institutions such as ACM, IEEE, AAAS, IAPR, SPIE, the U.S. National Academy of Engineering, the Indian National Academy of Engineering and the Chinese Academy of Sciences.
Lise Getoor is a professor in the computer science department, at the University of California, Santa Cruz, and an adjunct professor in the Computer Science Department at the University of Maryland, College Park. Her primary research interests are in machine learning and reasoning with uncertainty, applied to graphs and structured data. She also works in data integration, social network analysis and visual analytics. She has edited a book on Statistical relational learning that is a main reference in this domain. She has published many highly cited papers in academic journals and conference proceedings. She has also served as action editor for the Machine Learning Journal, JAIR associate editor, and TKDD associate editor.
Geoffrey I. Webb is Professor in the Department of Data Science and Artificial Intelligence at Monash University, founder and director of Data Mining software development and consultancy company G. I. Webb and Associates, and former editor-in-chief of the journal Data Mining and Knowledge Discovery. Before joining Monash University he was on the faculty at Griffith University from 1986 to 1988 and then at Deakin University from 1988 to 2002.
Demetri Terzopoulos is a Greek-Canadian-American computer scientist and entrepreneur. He is currently a Distinguished Professor and Chancellor's Professor of Computer Science in the Henry Samueli School of Engineering and Applied Science at the University of California, Los Angeles, where he directs the UCLA Computer Graphics & Vision Laboratory.
Fei-Fei Li is a China-born American computer scientist, known for establishing ImageNet, the dataset that enabled rapid advances in computer vision in the 2010s. She is the Sequoia Capital professor of computer science at Stanford University and former board director at Twitter. Li is a co-director of the Stanford Institute for Human-Centered Artificial Intelligence and a co-director of the Stanford Vision and Learning Lab. She served as the director of the Stanford Artificial Intelligence Laboratory from 2013 to 2018.
Bidyut Baran Chaudhuri is a senior computer scientist and the pro-vice-chancellor (academic) of Techno India University in West Bengal, India. He is also adjuncted to Indian Statistical Institute (ISI), where he was a professor for about three decades. He was the founding Head of Computer Vision and Pattern Recognition Unit of ISI. Moreover, he was a J.C. Bose Fellow and INAE Distinguished Professor at ISI.
Longbing Cao is an AI and data science researcher at the University of Technology Sydney, Australia. His broad research interest involves artificial intelligence, data science, behavior informatics, and their enterprise applications.
Svetha Venkatesh is one of the top 15 women in the world in Artificial Intelligence. She is Indian/Australian and is an Alfred Deakin Professor in the Faculty of Science, Engineering & Built Environments, in the Department of Pattern Recognition and Data Analytics at Deakin University, as well as a professor of computer science and director of the Centre for Pattern Recognition and Data Analytics (PRaDA) at Deakin. She was elected a Fellow of the International Association of Pattern Recognition in 2004 for her contributions to the "formulation and extraction of semantics in multimedia data". She was also elected a Fellow of the Australian Academy of Technological Sciences and Engineering in 2006 and an ARC Laureate Fellow in June 2017. She was elected a Fellow of the Australian Academy of Science in May 2021.
Jianying Hu is a Chinese-American computer scientist at the IBM Thomas J. Watson Research Center, Yorktown Heights, NY, USA, known for her work in data mining, machine learning, artificial intelligence and health informatics. She is an IBM Fellow, Global Science Leader of AI for Healthcare and Director of Healthcare and Life Sciences Research at IBM. She is also an Adjunct Professor in the Department of Medicine at the Icahn School of Medicine at Mount Sinai. She has published over 150 scientific papers and holds more than 50 patents.
René Vidal is a Chilean electrical engineer and computer scientist who is known for his research in machine learning, computer vision, medical image computing, robotics, and control theory. He is the Herschel L. Seder Professor of the Johns Hopkins Department of Biomedical Engineering, and the founding director of the Mathematical Institute for Data Science (MINDS).
Gang Hua is a Chinese-American computer scientist who specializes in the field of computer vision and pattern recognition. He is an IEEE Fellow, IAPR Fellow and ACM Distinguished Scientist. He is a key contributor to Microsoft's Facial Recognition technologies.
Gregory D. Hager is the Mandell Bellmore Professor of Computer Science and founding director of the Johns Hopkins Malone Center for Engineering in Healthcare at Johns Hopkins University.
Jiebo Luo is a Chinese-American computer scientist, the Albert Arendt Hopeman Professor of Engineering and Professor of Computer Science at the University of Rochester. He is interested in artificial intelligence, data science and computer vision.
Michael Bronstein is an Israeli computer scientist and entrepreneur. He is a computer science professor at the University of Oxford.
Nitesh V. Chawla is a computer scientist and data scientist currently serving as the Frank M. Freimann Professor of Computer Science and Engineering at the University of Notre Dame. He is the Founding Director of the Lucy Family Institute for Data & Society. Chawla's research expertise lies in machine learning, data science, and network science. He is also the co-founder of Aunalytics, a data science software and cloud computing company. Chawla is a Fellow of the American Association for the Advancement of Sciences (AAAS), Association for Computing Machinery (ACM), a Fellow of the Association for the Advancement of Artificial Intelligence, a Fellow of the Asia Pacific Artificial Intelligence Association, and a Fellow of the Institute of Electrical and Electronics Engineers (IEEE). He has received multiple awards, including the 1st Source Bank Commercialization Award in 2017, Outstanding Teaching Award (twice), IEEE CIS Early Career Award, National Academy of Engineering New Faculty Award, and the IBM Big Data Award in 2013. One of Chawla's most recognized publications, with a citation count of over 25,000, is the research paper titled "SMOTE: Synthetic Minority Over-sampling Technique." Chawla's research has garnered a citation count of over 62,000 and an H-index of 80.
References
- ↑ "Dacheng Tao". Mathematics Genealogy Project. Retrieved 17 December 2022.
- ↑ "2015 elevated fellow" (PDF). IEEE Fellows Directory.
- ↑ "Fellowships and training centres accelerate research capacity". University of Sydney . 5 June 2017. Retrieved 21 January 2018.
- ↑ "Professor Dacheng Tao". www.science.org.au. Retrieved 16 June 2018.
- ↑ 2019 ACM Fellows Recognized for Far-Reaching Accomplishments that Define the Digital Age, Association for Computing Machinery, retrieved 11 December 2019
- ↑ "Dacheng Tao" . Retrieved 5 September 2021.
- ↑ "2020 Australian Museum Eureka Prize winners". The Australian Museum. Archived from the original on 24 November 2020. Retrieved 9 December 2020.
- ↑ "Most prolific dblp authors". dblp.uni-trier.de. Retrieved 24 September 2021.
| Authority control databases: Academics |
|---|
  | This article about an Australian engineer, inventor or industrial designer is a stub. You can help Wikipedia by expanding it. |