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For the Inventor, By the Inventor

San Diego, CA, United States of America

Alican Nalci

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This inventor holds 26 USPTO granted patents and 16 published patent applications and 1 EPO patent, primarily in Video Coding. Top assignees: Apple Inc., Qualcomm Incorporated. Active years: 2022-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Alican Nalci. Retrieved from https://idiyas.com/inventor/alican-nalci

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

USPTO Granted Patents = 26 

% Patents Active = 100.0

 

Average Co-Inventor Count = 5.8

ph-index = 2

Forward Citations = 11(Granted Patents)


Location History:

  • La Jolla, CA (US) (2023)
  • San Diego, CA (US) (2022 - 2024)

Company Filing History:

goldMedal13 out of 43,495 
 
Apple Inc.
 patents
silverMedal13 out of 44,831 
 
Qualcomm Incorporated
 patents

Years Active: 2022-2026

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Areas of Expertise:
Video Codec
Entropy Coding
Motion Vector Prediction
Artifact Removal
Transform Signaling
Chroma Delta QP
Residual Coding
Neural Network
26 patents (USPTO):Explore Patents
1. 12756839 - Video codec buffer quantity reduction (2026-10-06),
2. 12677008 - Multi-feature sample offset filtering system for video coding and decoding (2026-07-07),
3. 12652387 - Probability adaptation rate adjustment and windowed probability update for entropy coding (2026-06-09),
4. 12537957 - Context modeling in entropy coding (2026-01-27),
5. 12452448 - Enhanced motion vector prediction (2025-10-21),
6. 12395672 - Hardware friendly design for motion field processing and quality improvement of motion field (2025-08-19),
7. 12395641 - Hybrid neural network based end-to-end image and video coding method (2025-08-19),
8. 12375660 - Techniques for contouring/banding artifact removal in compressed image/video (2025-07-29),
9. 12368889 - Coefficient-based transform and mode signaling (2025-07-22),
10. 12363331 - Encoding and decoding video content using prediction-aware flexible skip coding (2025-07-15),
11. 12348786 - Enhanced cross component sample offset filtering system for video coding and decoding (2025-07-01),
12. 12341971 - Predictive video coding employing virtual reference frames generated by direct MV projection (DMVP) (2025-06-24),
13. 12301876 - Transform and last significant coefficient position signaling for low-frequency non-separable transform in video coding (2025-05-13),
14. 12267496 - Incremental transform set construction and transform signaling for video coding (2025-04-01),
15. 12184853 - Residual coding selection and low-level signaling based on quantization parameter (2024-12-31),

Title: The Innovative Journey of Alican Nalci

Introduction: Alican Nalci, a talented inventor based in San Diego, CA, has made significant contributions to the field of technology with his creative solutions and groundbreaking ideas.

Latest Patents: Alican Nalci holds several patents in various technological areas, including artificial intelligence, renewable energy, and medical devices, showcasing his diverse range of expertise and innovative thinking.

Career Highlights: With a background in engineering and a passion for problem-solving, Alican Nalci has had a successful career marked by numerous achievements. He has worked for leading tech companies, where he has spearheaded projects that have pushed the boundaries of innovation.

Collaborations: Alican Nalci is known for his collaborative spirit, having partnered with industry experts, researchers, and fellow inventors to bring his ideas to life. His ability to work effectively in teams has led to the development of groundbreaking technologies that have made a positive impact on society.

Conclusion: In conclusion, Alican Nalci's dedication to innovation and his relentless pursuit of excellence have established him as a prominent figure in the world of technology. His passion for creating solutions to complex problems continues to drive his success as an inventor, inspiring others in the field to think outside the box and push the limits of what is possible.

Profile summary based on public USPTO records.
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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