Petar Djukic

USPTO Granted Patents = 65 (Patent Applications = 10)

CIPO Patents = 3 (Patent Applications = 2)

EPO Patents = 13 (Patent Applications = 19)

Average Co-Inventor Count = 3.4

ph-index = 13

Forward Citations = 603(Granted Patents)

Inventors with similar research interests:

Location History:

Shenzhen, CN (2013)
Ottawa, CA (2014 - 2024)
Nepean, CA (2019 - 2024)

Company Filing History:

35 out of 27,108

Huawei Technologies Co., Limited

Future Wei Technologies, Inc.

Years Active: 2013-2025

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65 patents (USPTO):Sort by Forward CitationsExplore Patents

1. 12468951 - Unsupervised outlier detection in time-series data (2025-11-11),

2. 12326920 - Embedding concealed meta-data into deep neural networks (DNNs) (2025-06-10),

3. 12289343 - Detecting malicious threats in a 5G network slice (2025-04-29),

4. 12132748 - Machine learning detection of network attacks using traffic and log information (2024-10-29),

5. 12101329 - Network architecture providing device identification and redirection using whitelisting traffic classification (2024-09-24),

6. 12056220 - Embedding concealed meta-data into deep neural networks (DNNs) (2024-08-06),

7. 12045707 - Forecasting time-series data in a network environment (2024-07-23),

8. 11936481 - System and method for uplink grant-free transmission scheme (2024-03-19),

9. 11777598 - Utilizing polarization characteristics to detect vibrations in optical fibers (2023-10-03),

10. 11704539 - Forecasting routines utilizing a mixer to combine deep neural network (DNN) forecasts of multi-variate time-series datasets (2023-07-18),

11. 11683260 - Estimating a traffic matrix of a communication network using network topology features (2023-06-20),

12. 11620528 - Pattern detection in time-series data (2023-04-04),

13. 11595761 - Detecting and localizing acoustic signals with an optical network (2023-02-28),

14. 11363031 - Network architecture providing device identification and redirection using whitelisting traffic classification (2022-06-14),

15. 11356320 - Identifying and locating a root cause of issues in a network having a known topology (2022-06-07),

Title: Innovator Spotlight: Petar Djukic

Introduction: Petar Djukic, a prolific inventor based in Ottawa, CA, has made significant contributions to the field of telecommunications and optical networks. With an impressive portfolio of 58 patents, Djukic is known for his groundbreaking work in grant-free transmission schemes and utilizing polarization characteristics for detecting vibrations in optical fibers.

Latest Patents: Djukic's recent patents showcase his innovative spirit. One of his latest inventions is the "System and method for uplink grant-free transmission scheme," which revolutionizes how base stations handle uplink transmissions without the need for grants. Another notable patent is the one involving the use of polarization parameters to detect vibrations in optical fibers, employing machine learning techniques for enhanced accuracy.

Career Highlights: Throughout his career, Petar Djukic has worked with leading companies in the industry. He has lent his expertise to Huawei Technologies Co., Limited, a global telecommunications giant, and Ciena Corporation, a prominent player in the networking solutions market. His tenure at these esteemed organizations has further honed his skills and broadened his impact on the field.

Collaborations: Djukic's collaborations with industry peers have been instrumental in driving innovation forward. Working alongside talented individuals like Todd D Morris and Hang Zhang, he has been able to exchange ideas, tackle complex challenges, and push boundaries in the realm of telecommunications and optical networks.

Conclusion: In conclusion, Petar Djukic stands out as a trailblazing inventor whose work has significantly advanced the fields of telecommunications and optical networks. With a remarkable track record of patents and a collaborative spirit, Djukic continues to inspire and shape the future of technology through his groundbreaking inventions and contributions to the industry.

This text is generated by artificial intelligence and may not be accurate.