For the Inventor, By the Inventor

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Bethesda, MD, United States of America

Opnet Technologies, Inc.

USPTO Granted Patents = 57

EPO Patents = 4

Forward Citations = 1,024

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83 inventors (with patents filed for the assignee):

Alain J Cohen (21 out of 62 patents)

Pradeep Singh (14 out of 28 patents)

Patrick J Malloy (12 out of 38 patents)

4. Russell Mark Elsner (6 out of 12 patents)

5. Gordon Bolt (6 out of 8 patents)

6. Edward A Sykes (5 out of 9 patents)

7. James Mark Shaw (5 out of 16 patents)

8. Antoine D Dunn (5 out of 13 patents)

9. John Wilson Strohm (5 out of 12 patents)

10. Han C Wen (5 out of 17 patents)

11. Vinod Jeyachandran (5 out of 14 patents)

12. Arun Pasupathy (4 out of 5 patents)

13. Eric Ward Gray (3 out of 20 patents)

14. Dana Znamova (3 out of 6 patents)

15. Bobby Ninan (3 out of 4 patents)

Core Competencies:

Traffic Flow Inference

Network Capacity Planning

Congestion Analysis

Virtualization Technologies

Latency Estimation

MPLS Traffic Engineering

Network Device Discovery

Data Consistency Verification

Packet Loss Reduction

Wireless MAC Simulation

Network Survivability

Performance Metrics

57 patents: Sort by Forward Citations

1. 8359450 - Memory utilization analysis (2013-01-22),

2. 8312139 - Traffic flow inference based on link loads and gravity measures (2012-11-13),

3. 8305931 - Incremental and targeted auto-discovery of network devices (2012-11-06),

4. 8296424 - Network capacity planning (2012-10-23),

5. 8255906 - Modeling overhead for a plurality of virtualization technologies in a computer system (2012-08-28),

6. 8249094 - Wireless MAC and link-layer simulation modeling (2012-08-21),

7. 8230491 - Automatic access to network devices using various authentication schemes (2012-07-24),

8. 8228804 - Tuning routing metrics to reduce maximum link utilization or provide failure resiliency (2012-07-24),

9. 8195736 - Mapping virtual internet protocol addresses (2012-06-05),

10. 8195443 - Application level interface to network analysis tools (2012-06-05),

11. 8166004 - Verifying data consistency among structured files (2012-04-24),

12. 8165038 - Network physical connection inference for IP tunnels (2012-04-24),

13. 8159971 - System and method for inferring connectivity among network segments in the absence of configuration information (2012-04-17),

14. 8144627 - Inferring connectivity in the presence of conflicting network data (2012-03-27),

15. 8140665 - Managing captured network traffic data (2012-03-20),

Company Overview

Opnet Technologies, Inc., based in Bethesda, MD, specializes in advanced network analysis solutions. The company focuses on a range of critical technology areas, including traffic flow inference, network capacity planning, and congestion analysis. Opnet's expertise extends to virtualization technologies and latency estimation, providing essential tools for effective MPLS traffic engineering and network device discovery. Their innovative approaches ensure data consistency verification, making them a key player in optimizing network performance and reliability.

Profile summary synthesized from public USPTO records and patent filings.

Company Badge

USPTO Data Jan 1 1976 - Oct 13 2026

57 Patents

#8 in Bethesda, MD

#65 in Maryland

#6,249 in US

#12,563 in the World

Bethesda, MD, United States of America

Opnet Technologies, Inc.

Forward Citations = 1,024

83 inventors:

Alain J Cohen (21 out of 62 patents)

Pradeep Singh (14 out of 28 patents)

Patrick J Malloy (12 out of 38 patents)

4. Russell Mark Elsner (6 out of 12 patents)

5. Gordon Bolt (6 out of 8 patents)

IDiyas Innovation Intelligence. (2026). Company Patent Portfolio: Opnet Technologies, Inc.. Retrieved from https://idiyas.com/company/opnet-technologies

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]

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