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Rajiv Sreedhar
Rajiv Sreedhar
Director Machine Learning, Fortinet Inc.
Zweryfikowany adres z ieee.org
Tytuł
Cytowane przez
Cytowane przez
Rok
Robust fault detection in nonlinear systems using sliding mode observers
R Sreedhar, B Fernandez, GY Masada
Proceedings of IEEE International Conference on Control and Applications …, 1993
1631993
Systems and methods for deploying microservices in a networked microservices system
RPS Ahuja, M Nedbal, R Sreedhar
US Patent 10,579,407, 2020
332020
A neural network based adaptive fault detection scheme
R Sreedhar, B Fernandez, GY Masada
Proceedings of 1995 American Control Conference-ACC'95 5, 3259-3263, 1995
321995
Boiler system identification using sparse neural networks
VV Murty, R Sreedhar, B Fernandez, GY Masada, AS Hill
The 1993 ASME Winter Annual Meeting, New Orleans, LA, USA, 11/28-12/03/93 …, 1993
261993
Sliding control retrofit for a thermal power plant
R Sreedhar, B Fernandez, GY Masada
Proceedings of International Conference on Control Applications, 409-414, 1995
121995
Joule–Thomson cooling with binary mixtures
R Sreedhar, AK Sreedhar
Infrared physics & technology 39 (7), 451-455, 1998
111998
Fault diagnosis and control of a thermal power plant
R Sreedhar
University of Texas at Austin, 1995
81995
Potential function based obstacle avoidance algorithm for manipulators with extra degrees of freedom
R Sreedhar
University of Texas at Austin, 1990
81990
Data center application security: Lateral movement detection of malware using behavioral models
HPS Bhasin, E Ramsdell, A Alva, R Sreedhar, M Bhadkamkar
SMU Data Science Review 1 (2), 10, 2018
72018
Systems and methods for managing endpoints and security policies in a networked environment
RPS Ahuja, M Nedbal, J Gaitonde, J Parker, M Ahluwalia, D Hegde, ...
US Patent 10,944,723, 2021
52021
Identification of Nonlinear Systems using a Neural Network Augmented Observer
R Sreedhar, B Fernandez, GY Masada
Intelligent Engineering Systems Through Artificial Neural Networks 4, 789-794, 1994
51994
Systems and Methods for Automated Risk-Based Network Security Focus
R Sreedhar, M Nedbal, M Ahluwalia, L Krishnamurthi, R Rao, DK Hegde, ...
US Patent App. 17/408,730, 2023
22023
Dynamically applying application security settings and policies based on workload properties
R Sreedhar, RPS Ahuja, M Nedbal, D Hegde, J Gaitonde, M Ahluwalia, ...
US Patent 11,120,148, 2021
22021
Systems and methods for fine grained forward testing for a ZTNA environment
R Sreedhar, M Nedbal, M Ahluwalia, DK Hegde, JB Gaitonde, S Rajanna, ...
US Patent 11,757,888, 2023
12023
Systems and methods for resilient ztna micro-segmentation policy generation
R Sreedhar, M Nedbal, DK Hegde, JB Gaitonde, M Ahluwalia, ...
US Patent App. 17/397,386, 2022
12022
Systems and methods for fine grained forward testing for a ztna environment
R Sreedhar, M Nedbal, M Ahluwalia, DK Hegde, JB Gaitonde, S Rajanna, ...
US Patent App. 18/230,406, 2024
2024
Systems and methods for focused learning of application structure and ztna policy generation
R Sreedhar, M Nedbal, DK Hegde, JB Gaitonde, M Ahluwalia
US Patent App. 17/348,121, 2022
2022
Determining a risk probability of a url using machine learning of url segments
R Sreedhar, RPS Ahuja, M Nedbal, T Phene, J Gaitonde
US Patent App. 17/749,865, 2022
2022
Optimizing a security configuration of a networked environment
M Nedbal, RPS Ahuja, M Ahluwalia, J Gaitonde, R Sreedhar, OM Kale, ...
US Patent 11,368,488, 2022
2022
Determining a risk probability of a URL using machine learning of URL segments
R Sreedhar, RPS Ahuja, M Nedbal, T Phene, J Gaitonde
US Patent 11,368,486, 2022
2022
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