Jayant R. Kalagnanam is affiliated with IBM in the United States and has contributed extensively to research in computer science. Their work spans several specialized subfields including artificial intelligence, signal processing, management science and operations research, computer networks and communications, and control and systems engineering.
The scientist's research covers a number of key topics such as time series analysis and forecasting, anomaly detection techniques and applications, data stream mining techniques, neural networks and applications, machine learning and data classification, Gaussian processes and Bayesian inference, and fault detection and control systems.
Their publication record includes work in notable venues with multiple contributions to arXiv (Cornell University), where eleven papers have been published. Other significant publication venues include the Proceedings of the AAAI Conference on Artificial Intelligence (five publications), the 2021 IEEE International Conference on Big Data (two publications), the Journal of Global Optimization, and Computational Optimization and Applications.
Selected recent papers authored or coauthored by Jayant R. Kalagnanam include:
The scientist has collaborated frequently with several researchers, including Dzung T. Phan, Lam M. Nguyen, Vijay Ekambaram, Dhaval Patel, and Kyongmin Yeo. These collaborations reflect ongoing partnerships resulting in multiple joint publications.
Liangzhao Zeng;B. Benatallah;A.H.H. Ngu;M. Dumas
C. Harrison;B. Eckman;R. Hamilton;P. Hartswick
Liangzhao Zeng;Boualem Benatallah;Marlon Dumas;Jayant Kalagnanam
Jayant R. Kalagnanam;Urmila M. Diwekar
David C. Parkes;Jayant Kalagnanam;Marta Eso
Urmila M. Diwekar;Jayant R. Kalagnanam
Martin Bichler;Jayant Kalagnanam
Vincent Conitzer;Andrew Davenport;Jayant Kalagnanam
M. Dawande;J. Kalagnanam;P. Keskinocak;F.S. Salman
Juhnyoung Lee;Jayant R. Kalagnanam;Andrew J. Davenport;Ho Soo Lee
Unknown
M. Bichler;J. Kalagnanam;K. Katircioglu;A. J. King
Jayant Kalagnanam;David C. Parkes
Jayant R. Kalagnanam;Ying Tat Leung;Andrew J. Davenport;Juhnyoung Lee
Andrew Davenport;Jayant Kalagnanam
Dzung Phan;Jayant Kalagnanam
V. Arya;D. Seetharam;S. Kalyanaraman;K. Dontas
Jayant R. Kalagnanam;Milind W. Dawande;Mark Trumbo;Ho Soo Lee
M. Bichler;J. Kalagnanam
Jayant R. Kalagnanam;Andrew J. Davenport;Ho S. Lee
Jayant Kalagnanam;Max Henrion
If you think any of the details on this page are incorrect, let us know.
Exploring online degrees in Computer Science unlocks a variety of flexible education and career options. For those eager to start working quickly, consider the fastest online degree programs—these can help you enter the tech workforce sooner, often in less than two years.
If you’re interested in future-focused areas, an artificial intelligence degree online offers hands-on experience with technologies shaping tomorrow’s industries. This pathway can lead to roles in machine learning, robotics, and data analysis.
Deciding what to study can be overwhelming, but exploring the best degrees for career advancement can help you make an informed choice. Computer Science consistently ranks highly due to strong job growth and earning potential.
Interested in advancing your credentials without a heavy workload? You can also look into easy masters programs that offer career boosts while being manageable for busy professionals.
Online study in these areas can be affordable, efficient, and aligned with high-demand jobs, making it easier than ever to build a rewarding tech career in the USA.
North Dakota State University
National Center for Nanoscience and Technology
University of Chicago
Northern Illinois University
University of Gothenburg
University of Birmingham
Université Catholique de Louvain
Planetary Science Institute
University of Kansas
MRC Laboratory of Molecular Biology
University of Salzburg
University of Arizona
University of Delaware
Hong Kong Polytechnic University
Lomonosov Moscow State University
Centre for Addiction and Mental Health
