Nalini K. Ratha is affiliated with the University at Buffalo, State University of New York in the United States. Their primary field of study is Computer Science, with a focus on several subfields, including Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Aerospace Engineering, and Molecular Biology.
Their research topics encompass a range of areas related to machine learning and biometric applications. Key topics in their work include:
Ratha has contributed extensively to scientific literature, with recent papers reflecting ongoing work primarily in adversarial defense and image processing. These papers include:
Their frequent coauthors include Mayank Vatsa, Akshay Agarwal, Richa Singh, Arjun Ramesh Kaushik, and Charanjit S. Jutla.
Ratha has published extensively in notable venues such as arXiv (Cornell University), IEEE Transactions on Biometrics, Behavior and Identity Science, SSRN Electronic Journal, IEEE Transactions on Dependable and Secure Computing, and Pattern Recognition Letters.
In addition to articles, they have authored a book titled Deep Learning-Based Face Analytics, published by Springer International Publishing in 2021.
Ratha's professional recognition includes several honors: they were named an ACM Distinguished Member in 2015, an ACM Senior Member in 2009, a Fellow of the International Association for Pattern Recognition (IAPR) in 2008 for contributions to biometric authentication, and an IEEE Fellow in 2007 for contributions to biometric authentication systems.
N. K. Ratha;J. H. Connell;R. M. Bolle
N.K. Ratha;S. Chikkerur;J.H. Connell;R.M. Bolle
Ruud M. Bolle;Jonathan H. Connell;Sharath Pankanti;Nalini K. Ratha
Nalini K. Ratha;Shaoyun Chen;Anil K. Jain
N.K. Ratha;K. Karu;Shaoyun Chen;A.K. Jain
Nalini K. Ratha;Jonathan H. Connell;Ruud M. Bolle
Rudolf Marten Bolle;Sharathchandra Pankanti;Nalini Kanta Ratha;Louise Nanzu Sharon
Takeo Kanade;Anil Jain;Nalini K. Ratha
Ruud M. Bolle;Jonathan H. Connell;Nalini K. Ratha
Vishal M. Patel;Nalini K. Ratha;Rama Chellappa
Anil K. Jain;Nalini K. Ratha;Sridhar Lakshmanan
J. K. Pillai;V. M. Patel;R. Chellappa;N. K. Ratha
Nalini K. Ratha;Ruud Bolle
N.K. Ratha;R.M. Bolle;V.D. Pandit;V. Vaish
Jinyu Zuo;N.K. Ratha;J.H. Connell
N. Ratha;J. Connell;R.M. Bolle;S. Chikkerur
Rudolf M. Bolle;Nalini K. Ratha;Andrew Senior
R.M. Bolle;J.H. Connell;S. Pankanti;N.K. Ratha
F. Farooq;R.M. Bolle;Tsai-Yang Jea;N. Ratha
Rudolf M. Bolle;Chitra Dorai;Sunil J. Noronha;Nalini K. Ratha
If you think any of the details on this page are incorrect, let us know.
The field of Computer Science connects closely with various academic qualifications and career routes, especially for those seeking flexible learning options. Many students explore associates degrees online as a starting point, which can open doors to entry-level tech roles or set the stage for further study.
Those looking for broader career opportunities may consider advancing to an online bachelor degree. This qualification is often essential for software development, IT, and management positions in tech companies.
With tech and business skills increasingly intertwined, pursuing an online degree in business can enhance your ability to lead teams or innovate in entrepreneurship. Likewise, an interest in hardware, design, or applied sciences might lead you to explore engineering degrees that complement a Computer Science background.
Whether your goal is launching your tech career or transitioning into a specialized field, these related online pathways make education more accessible and versatile than ever before.
University of Memphis
University of Washington
International Institute for Applied Systems Analysis
University of Bristol
University of Sydney
University of Virginia
University of Seville
University of Windsor
Karolinska Institute
Newcastle University
École Normale Supérieure
University of Science and Technology of China
Chinese Academy of Sciences
George Washington University
Humboldt-Universität zu Berlin
Autonomous University of Barcelona