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AI-Enabled Retrosynthesis for Drug Development
TS-060092 — AI methods and systems for predicting reactants and their synthesis paths to support drug design and chemical synthesis.
A time-consuming and costly step in drug development is the identification of drug-like small molecules that display desired properties against a specific biomolecular target and then the synthesis of such molecules if they do not exist. Retrosynthesis is a procedure where such a desired molecule i…
  • College: College of Medicine (COM)
  • Inventors: Ning, Xia; Chen, Ziqi
  • Licensing Officer: Csatary, Erika

SimPi: A Remote Power Platform for Simulation
TS-059056 — A platform for improving simulations across many industries. Developing real-life simulations of disasters is vital for safety and reducing their financial impact; however, current simulation tools are bulky, expensive to implement, and require advanced technical skills to operate.
Simulations are essential for evaluating the potential impacts of disasters and for creating effective preparedness and response plans to facilitate organized and coordinated actions. Since response plans are not theoretical exercises, they must frequently be tested to be evaluated, adapted, and u…
  • College: College of Medicine (COM)
  • Inventors: Winfield, Scott; Beck, James; Finnegan, Geoff
  • Licensing Officer: Csatary, Erika

New Class of Error Correction Codes for Quantum Computing
TS-058447 — The emergence of quantum computing has uncovered a new set of error code detection and correction challenges. New technologies are needed to correct quantum and data transmission errors to accelerate the field’s growth and implementation.
The Need Transmitting data over networks is an essential component across a multitude of applications, including communications, manufacturing, aerospace, satellite communications, quantum computing, and many others. Therefore, detecting and correcting errors during data transmission is of utmost i…
  • College: College of Arts & Sciences
  • Inventors: Joshua, Roy
  • Licensing Officer: Dahlman, Jason "Jay"

3DScope: Detecting 3D Model Clones
TS-057129 — Algorithm for extracting 3D models, indexing them using a value-insensitive normalization algorithm, and comparing the model indexes to detect cloned 3D models.
The unauthorized copying of 3D models robs designers of property, reduces innovation going into the creation of 3D models, creates liability for entities unknowingly using copied models, and indicates a lapse in IP security. With the vast amount of 3D assets in use, it is infeasible for humans to …
  • College: College of Engineering (COE)
  • Inventors: Zuo, Chaoshun; LIN, ZHIQIANG
  • Licensing Officer: Ashouripashaki, Mandana

Dynamic Removal of Clutter to Improve Situational Awareness in Traffic Management Systems
TS-054551 — Algorithm/software that dynamically classifies and removes clutter in systems such as the traffic management systems of Unmanned Aircraft Systems Traffic Management (UTM) and Urban Air Mobility (UAM).
The Unmanned Aerial Vehicle (UAV) market is predicted to be worth $56.18 billion by 2027. The global commercial UAV market size alone was valued at $13.44 billion in 2020, with a recorded demand of over 689,000 units. With a wide range of applications, the UAV market is expected to grow at 19.9% C…
  • College: College of Engineering (COE)
  • Inventors: Singhal, Achal
  • Licensing Officer: Zinn, Ryan

Vehicle-in-Virtual-Environment Method for Autonomous Driving System Development and Evaluation
TS-054005 — This technology is a Vehicle-in-Virtual Environment (VVE) method for testing and evaluating Autonomous Vehicles (AV). The VVE approach is a safe, reliable, repetitive, and scalable method of testing AVs, decreasing the risks and costs of testing AVs on public roads.
The demand for autonomous vehicles continues to grow as companies and cities realize the effect on the costs, safety, and efficiency that AVs have on everyday lives. Initiatives such as MCity in Detroit, Michigan, and Smart City in Columbus, Ohio, show a strong commitment to the development of aut…
  • College: College of Engineering (COE)
  • Inventors: Guvenc, Levent; Aksun Guvenc, Bilin
  • Licensing Officer: Randhawa, Davinder

Mobile Harmful Contaminant Detection System: Home Health Kit for the detection of Allergens, Chemicals and Viruses
TS-052249 — A tool for simply and affordably assessing levels of certain household allergens (including asthma triggers), chemical contaminants (formaldehyde) and viruses (including SARS-CoV-2).
The Need Household allergens (including Asthma triggers) Asthma is one of the most common chronic conditions among children in the United States and a major cause of childhood disability. Despite advances in medical treatment, many children have poor asthma control that results in disruptions in s…
  • College: College of Engineering (COE)
  • Inventors: Dannemiller, Karen; Parquette, Jonathan; Qin, Rongjun
  • Licensing Officer: Ashouripashaki, Mandana

Finding rare events by knowing where NOT to look
TS-051417 — Traditional regression analysis has been a staple in predicting cause-effect relationships. Counltess industries use these methods to predict rare events, from economic issues to cancer research, causality is often a desired result. Given the vast amount of potential variables it sometimes becomes…
  • College: College of Arts & Sciences
  • Inventors: Melamed, David; Schoon, Eric
  • Licensing Officer: Hampton, Andrew

Concept Discovery from Text via Knowledge Transfer
TS-050856 — A better way for systems to organize, file, or index documents or content based on actual or anticipated information needed in the form of a user query or natural language question.
Data Processing and (IT)-related activities, ranging from web hosting to automated data entry services are more important than ever due to the large amounts of data collected through technology. According to IBIS World, "Companies will increasingly capture more data, requiring the outside exp…
  • College: College of Engineering (COE)
  • Inventors: Das, Manirupa; Fosler-Lussier, John Eric; Ramnath, Rajiv
  • Licensing Officer: Hampton, Andrew

Process Monitoring of Internal Temperature Distribution of Powder Bed Fusion Parts
TS-047605 — An ensemble kamlan filter (EnKF) state observer algorithm and process monitoring method for more quickly and accurately estimating the internal temperature gradient of Powder Bed Fusion parts for enhanced process monitoring and control.
Powder Bed Fusion (PBF) is a subset of additive manufacturing processes that performs a layer-by-layer fabrication of metal components by selectively melting metal powder disbursed over the earlier layer. PBF processes encompass methods such as selective laser sintering (SLS), direct metal laser s…
  • College: College of Engineering (COE)
  • Inventors: Wood, Nathaniel; Hoelzle, David "David"
  • Licensing Officer: Zinn, Ryan

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