Available Technologies
# of Displayed Technologies: 6 / 6
Applied Category Filter (Click To Remove): Algorithms
Cognitive Opportunistic Navigation Using Unknown Reference Signals
TS-073173 —
Modern navigation systems increasingly rely on signals of opportunity such as 5G and LEO satellite downlinks, but these signals often lack public reference‑signal specifications, may be dynamic or on‑demand, and can suffer from severe Doppler effects. Conventional receivers cannot reliably acq…
- College: College of Engineering (COE)
- Inventors: Kassas, Zak; Neinavaie, Mohammad
- Licensing Officer: Ashouripashaki, Mandana
Cooperative Navigation Strategy for Safer, Smarter Urban Intersections
TS-073111 —
Urban intersections are among the highest‑risk environments for automated and human‑driven vehicles due to occlusions, complex right‑of‑way, mixed traffic, and inconsistent connectivity. On‑board perception alone often misses beyond‑line‑of‑sight actors, while centralized or game 
- College: College of Engineering (COE)
- Inventors: Khan, Rahan; Ahmed, Qadeer; Hanif, Athar
- Licensing Officer: Ashouripashaki, Mandana
AI-Driven Intersection Safety System for Vulnerable Road User Protection
TS-070954 — The Need
Intersections are among the most dangerous areas on U.S. roadways, accounting for approximately 25% of traffic fatalities and nearly half of all injuries annually. Vulnerable Road Users (VRUs), including pedestrians and cyclists, face increasing risk due to complex traffic dynamics and limi…
- College: College of Engineering (COE)
- Inventors: Yurtsever, Ekim; Giuliani, Michele; Rizzoni, Giorgio
- Licensing Officer: Ashouripashaki, Mandana
GPS Independent Lane Level Vehicle Localization
TS-069654 — Technology bundle containing T2025-148 and T2024-150.
The Need
Reliable vehicle localization is critical for autonomous and human-driven vehicles, especially in GPS-denied environments such as dense urban areas, tunnels, and off-road farms and construction sites. Current localization methods relying solely on GPS are prone to signal loss and inaccurac…
- College: College of Engineering (COE)
- Inventors: Javed, Nur Uddin; Ahmed, Qadeer
- Licensing Officer: Ashouripashaki, Mandana
Computational Design of Experiment Framework for Processing of Metal Alloys
TS-067792 — A software tool for optimizing the manufacturing process for metal alloys.
Metallic alloys are composed of a homogeneous mixture of two or more metals or of metals and nonmetal or metalloid elements to provide specific characteristics or structural properties. Alloys are used in many applications, such as aircraft, offshore drilling, automobiles, and others.
Obtaining t…
- College: College of Engineering (COE)
- Inventors: Alexandrov, Boian; Forquer, Matthew; Jang, Eun; Luo, Yuxiang; Stewart, Jeffrey
- Licensing Officer: Ashouripashaki, Mandana
Vulnerability and Attackability analysis of automotive controllers using structural model of the system
TS-063239 — The Ohio State University has developed a vulnerability analysis technique for connected and autonomous vehicles that assesses the vulnerability and attackability of the automotive controllers to determine the security of the system.
The Need
Automated vehicle technologies improve safety, assis…
- College: College of Engineering (COE)
- Inventors: Renganathan, Vishnu; Ahmed, Qadeer
- Licensing Officer: Ashouripashaki, Mandana
