Research NewsletterIssue: ORN-2025-20

Recent NJIT Patents Issued by US Patent and Trademark Office (USPTO)

Patent Title:   Intelligent Surgical Marker

NJIT Ref No.:  21-016

Inventor(s):     Liu, Xuan / Liu, Yuwei

Patent Application Status:  Issued Patent

Patent Issue Date: 5/13/2025

Patent No.:  12,295,799

Technology Licensing Status: Available 

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Recent NJIT Provisional Patent Applications (Filed) to USPTO

Patent Title:    A subsurface-to-wellhead approach for extracting high-purity hydrogen from serpentinization of ultramafic rocks

NJIT Ref No.:   25-017

Inventor(s):      Waltrich, Paulo / Olorode, Olufemi / Kolawole, Oladoyin / Okoroafor, Rita

Patent Application Status:   Filed Provisional Patent Application

Patent Application Filing Date:  3/19/2025

Application Filing No.:   63/774,312

Technology Licensing Status:  Available (Jointly owned)

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Patent Title:    Development of an equipment to extract high-purity hydrogen from the serpentinization of ultramafic rocks

NJIT Ref No.:   25-019

Inventor(s):      Waltrich, Paulo / Olorode, Olufemi / Kolawole, Oladoyin / Okoroafor, Rita

Patent Application Status:   Filed Provisional Patent Application

Patent Application Filing Date:  3/19/2025

Application Filing No.:   63/774,315

Technology Licensing Status:  Available (Jointly owned)

NSF: Responsible Design, Development, and Deployment of Technologies (ReDDDoT)

NIH: Forecast: NIH Director’s Transformative Research Awards (R01 Clinical Trial Optional); Forecast: NIH Director’s New Innovator Award Program (DP2 Clinical Trial Optional))

Agency: National Institutes of Health NOT-RM-25-009

Department of Defense/US Army/DARPA/ONR: DoD Peer Reviewed Medical Research Program, Technology/Therapeutic Development Award

Department of Energy: 2025 Exploratory Research for Extreme-Scale Science

NASA: University Leadership Initiative 2 (ULI2)

Sandia labs to undertake $5B construction effort over next decade: Sandia National Laboratories in New Mexico is slated to invest $5 billion in construction over the coming decade, expanding its facilities to better support the myriad federal research and development efforts undertaken at the lab. Sandia Labs Director Laura McGill announced the construction plans during a Wednesday press conference, saying that investment in new construction is a “win-win” between the New Mexico-based contracting firms and laboratory researchers. “We will be furthering our mission and providing a stable source of work and economic opportunity for design firms, construction companies and the skilled tradespeople across our state in this region,” she said. Matthew Burger, director of the facilities and infrastructure program and strategic investments at Sandia Labs, added that two major projects this investment will support are a new Power Sources Capability Facility and a Combined Radiation Environments for Survivability Testing Facility. Other minor construction projects will also advance simultaneously with those two initiatives. More information is posted on the NextGov website.

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US dominance in AI needs to occur at every component layer, tech leaders say: Executives from prominent artificial intelligence technology companies told members of the Senate Commerce, Science and Transportation Committee Thursday that the global diffusion of the U.S. technology stack is critical for the U.S. to win the AI race. Ensuring the U.S. produces and maintains control over the AI technology stack –– the individual components of an AI application, like its semiconductor chips, programming languages, interfaces and servers –– will determine if the country can lead the world in future AI innovation, witnesses told lawmakers.  Lisa Su, the CEO of Advanced Micro Devices, said that the U.S. maintaining its competitive edge in AI innovation “actually requires excellence at every layer of the stack,” something that can be further enabled with “very supportive government policies.” OpenAI CEO Sam Altman reiterated this posture, saying that the goal is for the entire world to be building its AI applications atop U.S.-built products. Altman made the case that global developers who don’t reference U.S.-made and -refined AI software tools for their individual software could create a digital threat. More information is posted on the NextGov website.