Research NewsletterIssue: ORN-2024-50

Recent NJIT Non-Provisional Patent Applications (Filed) 

Patent Title:   Imagers for Mid-Wave Infrared Detection

NJIT Ref No.:  25-012

Inventor(s):    Ko, Dong-Kyun / Castillo-Garza, Rodrigo

Patent Application Status:  Filed Non-Provisional Patent Application

Patent Application Filing Date: 11/13/2024

Application Filing No.:  18/946,393

Technology Licensing Status: Jointly Owned

Recent NJIT Provisional Patent Applications (Filed) 

Patent Title:   Apparatus And Method For Skin Graft Expansion in Split-Thickness Skin Graft Surgeries

NJIT Ref No.:  25-004

Inventor(s):    Alisafaei, Farid /  Guy, Genin / Jafari, Mohammad / Mujahid, Aliza / Yu, Haomin

Patent Application Status:  Filed Provisional Patent Application

Patent Application Filing Date: 12/5/2024

Application Filing No.:  63/728,300

Technology Licensing Status: Available

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NSF Research Security Training (Required in 2025)

The National Science Foundation launched four new interactive online research security training modules. Stipulated in the Chips and Science Act of 2022, the purpose of these training modules is to, “facilitate principled international collaboration in an open, transparent and secure environment that safeguards the nation’s research ecosystem.” The training modules are now available for researchers and institutions across the country and will help the research community understand and get a better handle on this issue.

The U.S. National Science Foundation, in partnership with the National Institutes of Health, the Department of Energy and the Department of Defense, is sharing online research security training for the research community.  This training provides recipients of federal research funding with information on risks and threats to the global research ecosystem — and the knowledge and tools necessary to protect against these risks.

Take the research security training

Take the training directly from your browser. Visit the four training modules at the links below.

• Each module should take about 60 minutes to complete.
• You can leave a module and return without losing progress from this browser.
• When you complete the module, you can download or print a completion certificate, but the module will not save a record of your training.

Module 1: What is Research Security?

Learn key concepts of research security and how to recognize situations that may indicate undue foreign influence. Understand the regulatory landscape that shapes research security and discover what you can do to safeguard the core values that underpin U.S. academic research.

Module 2: Disclosure

Learn about federal funding agency disclosure requirements, including types of information that must be disclosed, how that information is used, and why such disclosures are fundamental to safeguarding the U.S. research enterprise from foreign government interference and exploitation. 

Module 3: Manage and Mitigate Risk

Learn to identify types of international collaborative research and professional activities, associated potential risks, and strategies and best practices for managing and mitigating such risk. Learner experience will be customized based on their role as either a researcher or administrator.

Module 4: International Collaboration

Learn about the role of principled international collaboration in U.S. science, innovation and economic competitiveness. Discover how to balance principled international collaboration with research security concerns, as well as how to foster an open, welcoming research environment that fulfills research security needs.

Why the Research Security Training Required:

Research security training is listed as one of four elements of a Research Security Program required by National Security Presidential Memorandum 33, issued on Jan. 14, 2021, to safeguard our research ecosystem. The "CHIPS and Science Act of 2022," Section 10634, codifies the requirement for research security training for federal research award personnel in public law.

NSF: NSF Scholarships in Science, Technology, Engineering, and Mathematics Program (S-STEM); NSF/CASIS Collaboration on Tissue Engineering and Mechanobiology on the International Space Station to Benefit Life on Earth; NSF Boosting Research Ideas for Transformative and Equitable Advances in Engineering (BRITE); Experiential Learning for Emerging and Novel Technologies (ExLENT)

NIH: Rehabilitation Research Career Development Programs (K12); NCI Continuing Umbrella of Research Experiences (CURE) Non-Mentored Research Scientist Career Development Award (K22); In Vivo Non-Invasive Optical Imaging Approaches for Biological Systems (UG3/UH3); New Approaches for Measuring Brain Changes Across Longer Timespans (R21); NLM Research Grants in Biomedical Informatics and Data Science (R01)

Department of Defense/US Army/DARPA/ONR: Broad Agency Announcement (BAA) for the Joint Airborne Mission Survivability IPT

Department of Energy: NOI to Issue Notice of Funding Opportunity DE-FOA-0003495 titled Accelerating CO2 Conversion Technology Development and Deployment – Biological, Catalytic, and Mineralization Pathways

NASA: MUREP Aeronautics Community & Environmental Impact Research (ACEIR)

National Endowment of Humanities: Awards for Faculty

Digital Twins: Transforming Government Operations with Interoperability: As defined by the Digital Twin Consortium, a digital twin is a virtual representation of real-world entities and processes, synchronized at a specified frequency and fidelity. Powered by domain knowledge and real time data, digital twins provide a holistic, end-to-end view of data across an entire organization. With digital twins, agencies can simulate operations far more efficiently and cost effectively than building physical representations. Using generative artificial intelligence and machine learning, the technology can replicate everything about a physical environment or asset. These virtual representations, combined with sensors to collect real time data and live feedback, allow users to dive deep into real world operating scenarios. For example, when operational equipment needs to be deployed, it’s essential to understand how it’s operating, the potential for outages and what can be done to prevent such events. A digital twin gives agencies the ability to track all of that not only in real-time, but also in the future through predictive data analysis—allowing them to predict problems and prescribe fixes before they occur. More information is posted on the NextGov website.

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Forthcoming House AI report will call for incremental regulation: A soon-to-be released report from the House AI Task Force will highlight applying more bespoke, incremental regulation and federal preemption for artificial intelligence technologies, as lawmakers seek the best route to apply rules to AI systems without stifling industry growth.  Rep. Jay Obernolte, R-Calif., discussed approaches slated to be included in the report during an Amazon Web Services sponsored event on Wednesday. The report, which Obernolte hopes to debut sometime in the coming week, will hinge on incrementally bringing focused legislation to help cultivate rules for AI.  “One of the guiding principles that we are embracing is the principle of incrementalism,” he said Wednesday evening. “We think it is foolish to believe that we know enough about AI and the direction AI is going to move in the next few years to be able to do an effective job completely regulating with one bill next year. So we think it behooves everyone to embrace the idea that we need to break this up into bite-sized pieces.” Obernolte then anticipates that Congress will need to incrementally pass more application-specific legislation as AI technologies and use cases continue to grow. This approach stands in direct contrast to the other regulatory regimes that have approached the technology with large-scale action, particularly the European Union’s sweeping AI Act passed earlier this year and entered into force in August. More information is posted on the NextGov website.