Project List for Semester 2 AY2024/25
Reacτion
Tech Leads: Prof Saif Khan / Xie Jiaxun
This is a platform technology that has an automated chemical reaction system that is configurable & integrates machine learning with robotics and measurement tools that allow AI driven solutions such as process automation, optimization and decision making. The job of the team is to find an unmet need in industry and do a plan to configure this platform to solve that need while making it into a financially sustainable model.
PepShield
Tech Leads: Assoc. Prof Rachel Ee / Dhanya Mahalaksmi
This is a novel antimicrobial peptide coating that prevents bacterial adhesion and biofilm formation, which are leading causes of infections in medical settings. This innovation can offer extended protection and reduces infection rates for patients. The team will need to understand the current situation of device related infections in medical settings and find a suitable market need before they build a financially viable plan to take this tech to the identified market segment.
LEAF
Tech Leads: Assoc. Prof. David Leong / Kuoran Xing
This is a formulation derived from plant cholorplasts that has the unique ability to react to light and produce a crucial antioxidant and reducing agent (NADPH) which has the ability to reduce cellular inflammation. The team will need to find unmet needs in healthcare where cellular inflammation needs to be reduced. They will then assess and choose a particular condition which can be solved by the properties of this innovation. Next, they will build a complete business case for taking this tech to market.
UltraShear
Tech Leads: Dr Bi Renzhe / Paulene Abundo
Ultrasound is able to detect the stiffness or necrotic tissue in organs using Shear Wave Elastography . Such ability can potentially do early non-invasive detection of certain disease conditions (e.g. kidney and liver) even before routine blood and urine tests. The team will explore the current issues with early detection of diseases and understand their requirements. They will then find the best fit for this detection & figure out a development plan as well as the marketing strategy for the product.
MeasureAI
TechLead: Gokula Krishnan
Novel class of electro chemical multi-gas sensor chips, when exposed to a gas or gas mixture, alters its electrical properties which is a unique signature that can be used for identification & quantification of the gas(es). The team is expected to find use cases in various industries & markets. They will then do an opportunity assessment and develop a business case for the technology including a financial model.