Herzliya, Israel

Lior Wolf

This inventor holds 23 USPTO granted patents and 10 published patent applications and 2 EPO patents, primarily in Machine Learning. Top assignees: Tel Aviv University, Meta Platforms, Inc., Mor Research Applications Ltd.. Active years: 2014-2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Lior Wolf. Retrieved from https://idiyas.com/inventor/lior-wolf

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

USPTO Granted Patents = 23 

% Patents Active = 65.2

 

Average Co-Inventor Count = 2.2

ph-index = 6

Forward Citations = 1,154(Granted Patents)


Location History:

  • Herzliya, IL (2014 - 2023)
  • Herzlia, IL (2015 - 2023)

Company Filing History:


Years Active: 2014-2025

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Areas of Expertise:
Facial Identity Alteration
Error Correction Codes
Nanostructure Characterization
Human Generation
Video Characters
Repetitive Activity Detection
Cascaded Neural Network
Voice Model Generation
Motion Transfer
Image Content Recognition
Craniofacial Analysis
Gaze Offset Correction
23 patents (USPTO):Explore Patents

Title: Lior Wolf: A Pioneer in Machine Learning and Nanotechnology Innovations

Introduction: Lior Wolf, a prolific inventor based in Herzliya, Israel, holds an impressive portfolio of 21 patents. His groundbreaking work focuses on the intersection of machine learning and nanotechnology, pushing the boundaries of what is possible in this rapidly evolving field.

Latest Patents: Among his latest contributions to technology are two innovative patents. The first, titled "Method and system for characterizing a nanostructure by machine learning," details a process for designing nanostructures. This method involves receiving a far-field optical response and material properties, feeding them into an artificial neural network with at least three hidden layers, and extracting the shape of a nanostructure that corresponds to the far-field optical response.

The second patent, "Context-aware human generation in an image," presents a method for inserting a target person into a complex context depicted in another image. This process includes generating a target segmentation mask that specifies a new pose for the target person based on the context of the first image, ultimately resulting in a seamless output image featuring the target person in the desired pose.

Career Highlights: Lior has made significant strides in his career, working with esteemed organizations such as Ramot at Tel Aviv University Ltd. His contributions have not only advanced technology but also inspired many in the fields of machine learning and nanotechnology.

Collaborations: Throughout his career, Lior has collaborated with notable professionals, including coworkers Oran Gafni and Assaf Mushinsky. These partnerships have undoubtedly enriched his work and led to the development of innovative solutions in his field.

Conclusion: Lior Wolf continues to be a key figure in the realm of machine learning and nanotechnology. With his impressive array of patents and collaborations, he is well-positioned to drive future innovations that will shape the technological landscape for years to come.

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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