Numerical Simulations for Plowing Soil Process

The industrial drainage plow is a mechanized tool used for the installation of agricultural drainage and land reclamation. This research aims to optimize the plow’s shape for various soil conditions to increase the tile installation speed and the service life, and to reduce the drag force, which will reduce the fuel consumption. Numerical methods will […]

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L2M – Biomimetic biointerfaces for high throughput in vitro modeling of gut-pathogen interactions

The recognition of gut microbiota, its interplay with human tissues and cells, and the signaling pathways they could generate in concrete with together, specially once imposed to gastrointestinal medications, encouraged researchers designing and establishing bioengineered platforms, enable to serve as a discovery tool for developing of microbiome-related therapeutics, monitoring medications combating detrimental effects of antimicrobial […]

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L2M – EcoTruck Smart Navigator: An AI-powered software for range map prediction and route optimization for electric trucks

The proposed project, EcoTruck Smart Navigator, aims to develop an AI-powered software solution that helps electric truck fleets optimize their routes and improve range estimation. By refining and testing our prototype, we will provide fleet operators with a tool that reduces travel time and energy consumption, addressing key challenges in the transition to zero-emission vehicles. […]

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L2M – Smart Logistics Optimization System Using Artificial Intelligence

The logistics industry faces significant inefficiencies due to lengthy planning and dispatching re-optimization processes, resulting in delays, increased compensations, and suboptimal transit times. These challenges arise from difficulties in assessing resource status, managing incoming requests, and coordinating communication between dispatchers, drivers, and resources. Our smart logistics optimization system leverages real-time data and advanced Artificial Intelligence […]

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L2M – Carbon Dots of Asphaltenes Origin for Friction Reduction

My technology introduces AsphaDots, a lubricant derived from asphaltenes-based carbon dots. This innovative product aims to address friction and wear issues in steel and related materials, commonly found in sliding, rolling, or contact interfaces in industrial machinery, as well as in natural and biological systems. Water-based lubricants have become alternatives to petroleum-based lubricants in a […]

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Development of a new oxygen generator

The need for medical oxygen is ever-increasing due to increasing air pollution, environmental pollution, fossil-based dirty fuels, pandemics, etc. Although using oxygen cylinders is the common practice for meeting oxygen demands for patients who need oxygen, this approach is not a permanent solution and is associated with numerous complications. There is a certain need for […]

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Test Process Automation with a Robotic Manipulator Arm

Pfizer, a leading global company, is constantly striving to deliver breakthroughs that improve patients’ lives. They achieve this through a dedication to research and development (R&D) and by optimizing their manufacturing processes. The student’s contributions will support Pfizer’s mission of innovation. In this two-part project, we will explore the automation of various tasks with the […]

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Analysis of measurements derived from next-generation, low-cost, satellite-based navigation antennas for performance characterization and antenna design

GPS – the Global Positioning System and similar positioning, navigation and timing (PNT) systems, referred to as Global Navigation Satellite Systems (GNSS), have dramatically improved productivity and safety in our daily lives. Calian GNSS Ltd. has developed a range of novel, low-cost GNSS antennas with advanced technologies. Further improvements are possible to increase antenna performance […]

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Development of an Automated Platform for the Production of Muscle Cells

Tissue engineering involves extracting cells from patients, growing them in a laboratory setting, and subsequently employing them for disease treatment . However, cell expansion encounters various obstacles, such as significant expenses and labor requirements, resulting in increased treatment costs. Moreover, the industry struggles with challenges such as skilled personnel shortages and difficulties in scaling up […]

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L2M-3Dimension Thermal Imaging System

This project addresses the main problem in utilizing Additive Manufacturing (AM) in industries like oil and sands and aerospace, which is the assurance of the quality of the part. This project is a novel approach to providing 3-dimensional thermal data from the 3D printing process, which can provide valuable data and allow engineers to delve […]

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L2M –Optical emission spectroscopy for quality monitoring and controlling in wire-arc directed energy deposition process.

The project aims to improve the quality of 3D-printed parts by developing an in-situ nondestructive method that combines spectroscopy with Wire-Arc Additive Manufacturing (WAAM). This involves using a spectrometer and developed algorithms to monitor the welding process, providing comprehensive material characterization during the 3D printing process. Implementing this in-situ sensor will improve process quality control […]

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