Recent collaboration between Computer Science and Software Engineering faculty and Monmouth students results in the development of applications that are leading to patents.
Fludz:
Specialist Professor in the Department of Computer Science and Software Engineering Raman Lakshmanan, Ph.D., and recent Computer Science graduate, Ava Taylor ’23, filed a non-provisional US patent (18/635,475) and trademark application for the Fludz™ app in April. Fludz is a crowd-sourced flood data distribution and analysis service that allows users to report and view local real-time data about flooding conditions. The service came to fruition from Ava Taylor’s Honor’s Thesis research on the lack of flood data at a local level and finding a cost-effective way to report and track flooding. A provisional patent was first filed in April 2023 and was updated to a non-provisional patent in April 2024 with additional claims.
With Fludz service, users are able to report flooded areas, worsening conditions, road hazards, flood depth estimate, and more in real time, and get information on safe evacuation routes. According to Lakshmanan and Taylor, the current emergency alert systems are not as effective as they could be in protecting the public from dangers during flood events and this app aims to fill the void at a local level for the more than 167 million people in the United States that are exposed to flood risks – a number expected to increase as climate, urbanization, and land use changes progress. If approved, it will be the University’s first patent in the last 8 years. The system and method for local flood data collection and distribution developed for Fludz could be adapted for various other applications, such as pollution reporting, tree/plant disease tracking, reservoir overflow monitoring, and more.
ParkShark:
While working, Communication Assistant Professor Amanda Stojanov and student Gianna Piroso identified a need to have a more efficient system to assist college students to find parking spots on campus lots as they commute to campus. They approached Computer Science and Software Engineering Specialist Professor Raman Lakshmanan to develop their ParkShark app ideas into a viable product and service. CSSE department students Davian Albaran and Drew McGovern designed and developed an innovative combination of IoT (Internet of Things) hardware and software service to passively assist commuting students to find available parking spots.
Commuters can provide their class schedules, arrival times to campus, preferred lots, etc. to the ParkShark system. A geo-fenced service lets them know lot occupancy and available spots in their ParkShark app. As they park in an available spot, the service detects the spot as taken and updates to show the change to other commuters. When a vehicle leaves a parked spot, the service detects movement away from the spot and reflects the spot as available. Service also provides lot availability based on arrival time using historical data.
During the 2024-2025 school year, ParkShark Phase 2 work will test the product and service with 25 users, expanding to 250 users to perfect the technology before a non-provisional patent is filed in mid-2025. The goal in Phase 3 is to launch the service to all commuting students and faculty at Monmouth.
ParkShark service can be extended for use in commercial parking lots, city and town parking, and event parking.
