Characterization of 2D Nanomaterials Synthesized via Compressible Flow Exfoliation (CFE)

The project focuses on advancing the production of high-quality, cost-effective two-dimensional (2D) nanomaterials, such as graphene, hexagonal boron nitride (h-BN), and molybdenum disulfide (MoS2), by optimizing the Compressible Flow Exfoliation (CFE) process. This innovative technique has the potential to replace costly fabrication techniques, significantly reducing production costs without compromising material quality. Through this collaboration, the […]

Read More
L2M – Development of Portable Microfluidic Electrochemical Sensors (MES) for On-Site Detection of Heavy and Critical Metal ions

This project aims to develop a portable and cost-effective microfluidic electrochemical sensor (MES) for detecting heavy and critical metal ions in water, including lead and lithium. The innovation integrates advanced microfluidics and electrochemical sensing to achieve on-site, real-time detection of contaminants, reducing the reliance on expensive and time-consuming laboratory methods. By leveraging low-cost fabrication techniques, […]

Read More
Development of an online rapid cognitive-motor assessment tool to monitor brain health.

This project aims to maximize the accessibility of an existing validated computer tablet-based brain health assessment tool. Specifically, we wish to expand the assessment tool to a web-based platform and improve its ability to rate a user’s performance in a personalized way. Currently, there are few choices for clinicians to test rule-based skilled performance needed […]

Read More
Scalable AI-as-a-Service (AIaas) Platform Development

This project focuses on building the core infrastructure for Farpoint’s new AI-as-a-Service (AlaaS) platform. Two interns will work with Farpoint engineers to create a robust and scalable system using Kubernetes for managing resources and efficiently distributing workload. The interns will also implement load balancing and network routing to ensure smooth handling of high user traffic […]

Read More
Evaluating AI’s potential in script writing: Developing a framework for AI-Human collaboration in Dialogue and plot creation

This study focuses on integrating AI into screenwriting to ideate and develop nuanced stories addressing themes such as trauma, political upheaval, and racial conflict. Centred on Black consciousness within white liberal settings, the study emphasises ethical AI-human collaboration to ensure cultural sensitivity and authenticity. The Interplay between AI and the transformation narratives underline the potential […]

Read More
Separation of Heterogeneous Biological Samples Using a Tangential Flow Filtration Microfluidic Device

This work suggests an innovative microfluidic approach for complex biological sample separation, emphasizing the need for methods that enhance efficiency while considering the delicate nature of such samples. This project aims to deploying a continuous, portable microfluidic sorter that can effectively process heterogeneous organoid samples, enhancing throughput and preserving sample integrity. The findings will contribute […]

Read More
L2M – Sustainable photobioreactor

Overview and Main Activities of the Partner Organization The partner organization is dedicated to enhancing urban environments through innovative solutions. One of their primary activities is developing decorative photobioreactors to improve air quality and provide aesthetic appeal in urban areas. Innovation Challenge or Improvement Priority The partner organization faces several challenges: • Urban Air Pollution: […]

Read More
L2M – Land to Sea : A Bio alliance for a sea of hope

The expanding economy, coupled with increased human activities and the rising demand for petroleum hydrocarbons, has led to a surge in high-risk pollutants like Benzene, Toluene, Ethylbenzene, and Xylene (BTEX). These carcinogenic chemicals are notorious for their potential to escape from storage tanks, pipelines, and oil tankers, infiltrating the ocean’s subsurface. Once in the environment, […]

Read More
L2M – Accelerated Data-Driven Approach to Characterize Mechanical Properties of Marine Materials

Ocean industries, such as shipbuilding and offshore energy, face challenges in selecting materials that can endure corrosive environments, high pressures, and mechanical stresses. While materials like composites and aluminum offer promise, their adoption is slowed by their inherently complex and nonlinear mechanical behavior, which is sensitive to environmental conditions, as well as by the time-consuming, […]

Read More
AI Chatbot for HGS Website

The AI-driven chatbot role is designed to efficiently respond to a variety of queries related to HGS, including its capabilities, products, offerings, sales support, and case studies. Additionally, the role involves providing detailed information about the company, such as job openings, application processes, and general inquiries. A key objective is to assist in generating leads […]

Read More
Sales Concierge – AI Chatbot for RFP&GGP response process

HGS is a leading company in technology and digital marketing specializing in providing comprehensive solutions across various sectors, focusing on artificial intelligence, automation, cloud services, cybersecurity, and data analytics. Their services are designed to enhance operational efficiency and customer engagement through advanced technologies. They offer content moderation, online reputation management, social media monitoring, and engagement […]

Read More