Structural Health Visualization and Analysis Tool
This project involves developing a web-based visualization and engineering analysis tool that evaluates structures against applied loads, strain, cracks, tilt measurements, and corrosion. The tool will allow stakeholders to visually interpret structural health data, ensuring informed decision-making through real-time analytics. The platform will provide downloadable, user-friendly reports that deliver actionable insights based on real-time sensor inputs. UX/UI Development for the Platform We are looking for UX/UI professionals or students specializing in user experience and interface design to enhance the usability and accessibility of our SHM platform. This initiative focuses on making the platform intuitive, aesthetically engaging, and efficient for stakeholders interacting with real-time structural data. Scope of UX/UI Work Participants will work on: User Research & Needs Assessment – Understanding user behavior, stakeholder needs, and pain points in navigating the SHM platform. Wireframing & Prototyping – Designing interactive wireframes and user flows for optimal data visualization and report generation. UI/UX Enhancement – Developing aesthetically appealing and functional interface designs for real-time data visualization. Interactivity & Accessibility – Improving user engagement through better data interaction, responsive layouts, and intuitive navigation. Integration with AI/ML Models – Ensuring seamless UI integration with AI-driven analytics and recommendation engines. Collaboration with Development Team – Working closely with engineers and product managers to implement UI/UX improvements effectively. Testing & Iteration – Conducting usability testing to refine designs based on stakeholder feedback. This UX/UI-focused initiative provides a unique opportunity to work on real-world engineering data visualization challenges , bridging technology, design, and infrastructure analytics into a seamless user experience. We look forward to collaborating with creative minds passionate about designing intuitive digital platforms for impactful decision-making in structural health monitoring.
Structuring Fund: Innovating Infrastructure and Finance
The STARMASS Infrastructure & Technology Growth Fund (SITGF) project aims to engage MBA students in the strategic design and operationalization of a new growth fund. The project focuses on leveraging the student's financial expertise and strategic thinking to create a robust framework for the fund. The student will work closely with STARMASS’s executive team to understand the intricacies of complex financial instruments such as Standby Letters of Credit (SBLCs), Letters of Credit (LCs), and Bank Guarantees (BGs). The goal is to ensure these instruments are effectively integrated into the fund's structure to support its successful launch and operation. The project provides an opportunity for the student to apply classroom knowledge in finance and strategic management to a real-world scenario, enhancing their understanding of fund management and financial structuring.
Patent Research and Documentation for Technological Innovations
Starmass Canada is at the forefront of technology innovation and is preparing to patent five groundbreaking innovations. The goal of this project is to conduct thorough research and compile comprehensive documentation to support the patent application process. This project provides learners with the opportunity to apply their classroom knowledge of intellectual property and research methodologies to real-world scenarios. The team will focus on gathering relevant data, analyzing existing patents, and ensuring that the documentation meets the necessary legal and technical standards. This project is designed to be completed by a team of learners from a technology or engineering program, allowing them to gain valuable insights into the patenting process and the intricacies of intellectual property management.
Product Manager for An AI-Driven Platform for Structural Health Analysis and Visualization
To develop a computer software application that leverages Artificial Intelligence (AI) and Machine Learning (ML) for the visualization and implementation of engineering analysis of structures. The platform will provide actionable insights into structural health by analyzing key variables such as applied loads, strain, cracks, tilt, and corrosion. By combining engineering principles with AI/ML-driven analytics, the tool will empower stakeholders to make real-time, data-driven decisions to ensure the safety and longevity of structures.
Computer software for visualization and implementation of engineering analysis of structure usingArtificial Intelligence & Machine Learning Application
Computer software for visualization and implementation of engineering analysis of structure against applied loads, strain, cracks, tilt measurement, and corrosion Our company is a structure health monitoring company that provides services to many different types of structure via health monitoring systems wirelessly sensors installed,analyzed and reported to the stakeholders. We want to leverage the latest technology in the market to create advantage for our stakeholders so they can take decisions real time with real time data. Applications of this technology include recommendation algorithms, and predictive analytics like lifetime value and classifications of the infrasturcture data. About the project : It is an web app computer software for visualization and implementation of engineering analysis of structure against applied loads, strain, cracks, tilt measurement, and corrosion. The tool allows the client to visually understand the measuring variables causing any long-term or short-term effect on the structural integrity. The downloadable user-friendly reports allows the stakeholders to make informed decisions based on the real-time data input from sensors being directed on the portal. We would like to collaborate with students in their Grad year, Master or PhD students to apply the latest engineering research in their field of experience computer systems, civil engineering or electrical engineering. They may also add their experience using artificial intelligence (AI) and machine learning (ML) techniques to our existing dataset. Students could also develop an AI / ML model related to engineering analysis of structure against applied loads, strain, cracks, tilt measurement, and corrosion The Grad year, Master or PhD student will get to work with real-time problems and real-time data to understand the behaviour of structures. They will also learn and understand the practical use and delivery methods of the data for the stakeholders. The student will also get to work with 5-6 different types of sensor data and help classify and filtrate for the most optimal visualization of the data and its representation to the stakeholder/client. This will involve several different steps for the students, including: Conducting background research on our existing products and the dataset. Analyzing our current dataset. Researching the latest AI / ML techniques and how they could be applied to our data. Developing an AI / ML model that provides unique outcomes or insights into our data.(Optional ) Providing multiple solutions that can be applied to solve the same problem. Working alongside a team consisting of - a product manager, and computer software/developers. Get access to and first-hand experience in different types of structural sensor data Consider introducing different software or analytical methods that can be added to the platform. Classification and filtration of infrastructure data coming from 6-7 different type of sensors
Starmass Financial Valuation and Strategic Analysis
Project Objectives Financial Projections and Sensitivity Analysis Analyze STARMASS’s existing financial projections, assessing key assumptions and their robustness. Conduct sensitivity analysis to evaluate the impact of changes in variables such as revenue growth, costs, and market conditions on financial outcomes. Provide recommendations for mitigating risks and optimizing performance under various scenarios. Capital Budgeting Analysis Evaluate STARMASS’s planned investments, including new facilities in Ottawa, KSA, and India, and other strategic initiatives. Apply techniques such as Net Present Value (NPV), Internal Rate of Return (IRR), and Payback Period to assess project feasibility. Recommend optimal allocation of resources to maximize returns and align with strategic goals. Asset or Company Valuation Determine the valuation of STARMASS using globally recognized methodologies, including: Discounted Cash Flow (DCF) Analysis Comparable Company Analysis (CCA) Precedent Transactions Analysis Provide a detailed valuation report to support investment decisions and stakeholder communication. Financial Ratio Analysis Perform a comprehensive ratio analysis to assess liquidity, profitability, efficiency, and solvency. Benchmark STARMASS’s performance against industry peers to identify strengths and weaknesses. Offer actionable recommendations to improve key financial metrics. Additional Financial Recommendations Identify opportunities to optimize the company’s capital structure, including debt-to-equity ratios. Explore potential cost-saving measures and revenue-enhancement strategies. Recommend financial strategies for mitigating risks associated with global expansion and market volatility.
IT Analyst Team for a Data analytics infrastructure Software
IT Analysts as Product Managers: Goals and Responsibilities Project Goal To oversee the successful development and delivery of the Civioniks platform, a web-based application for structural health monitoring. The IT Analysts, acting as Product Managers, will ensure the platform meets the needs of stakeholders by enabling real-time data analysis, visualization, and reporting of structural variables such as applied loads, strain, cracks, tilt, and corrosion. Their role is to align the platform’s functionality with user requirements, deliver value-driven outcomes, and manage cross-functional collaboration effectively. Key Responsibilities 1. Product Vision and Strategy Define the product vision to align with the project’s objectives and stakeholder needs. Develop a product roadmap that outlines major milestones, deliverables, and timelines. Ensure that the platform’s development focuses on user-centric functionality, including visualization tools and actionable reports. Deliverables: Product vision statement. A detailed roadmap with phases for development, testing, and deployment. 2. Stakeholder Engagement Act as the primary liaison between stakeholders and the development team. Gather requirements through meetings, interviews, and workshops with stakeholders. Translate stakeholder feedback into actionable features and prioritize them for development. Deliverables: Stakeholder requirements document. Prioritized feature backlog. 3. Requirement Gathering and Documentation Collaborate with developers, data analysts, and engineers to understand technical and functional needs. Create user stories , workflows, and process diagrams that reflect the platform’s objectives. Define acceptance criteria for each feature. Deliverables: Comprehensive Requirements Specification Document. Use case diagrams and workflows. 4. Backlog Management Maintain a product backlog, ensuring tasks are well-defined, prioritized, and aligned with project goals. Work closely with the team to plan and execute development sprints. Regularly review and refine the backlog based on feedback and progress. Deliverables: Updated and prioritized product backlog. Sprint planning documentation. 5. Cross-Functional Collaboration Coordinate efforts between the UI/UX, backend, and data analytics teams to ensure seamless integration. Organize and facilitate sprint reviews, retrospectives, and daily stand-ups. Address bottlenecks or blockers during development. Deliverables: Collaboration meeting minutes and action items. Progress tracking reports. 6. Product Development Oversight Oversee the development of: Visualization tools for engineering data (e.g., strain, cracks, tilt). Real-time analytics and reporting features . Backend systems for processing and storing sensor data. Ensure deliverables meet agreed-upon acceptance criteria. Deliverables: Functional MVP (Minimum Viable Product) of the platform. Feature-specific tracking and testing reports. 7. User Experience (UX) and Interface Design Collaborate with UI/UX designers to ensure the platform is intuitive and user-friendly. Validate visualizations and dashboards with stakeholders to meet usability standards. Test the platform for accessibility and responsiveness. Deliverables: Wireframes and UI mockups. Feedback reports from usability testing. 8. Testing and Quality Assurance Define success metrics and KPIs for the platform. Oversee system testing to ensure: Accuracy of real-time data. Functionality of visualization and reporting tools. Stability and scalability of the platform. Collaborate with the QA team to address any issues. Deliverables: QA test plans and bug-tracking reports. Final approval for deployment readiness. 9. Deployment and Post-Launch Plan and execute the deployment of the platform in a production environment. Oversee initial user training and documentation handover. Gather post-launch feedback and define future updates or improvements. Deliverables: Deployed platform. Training materials (manuals, video tutorials). Post-launch feedback report and roadmap for subsequent versions.
Patent Research and Documentation for Technological Innovations
Starmass Canada is at the forefront of technology innovation and is preparing to patent five groundbreaking innovations. The goal of this project is to conduct thorough research and compile comprehensive documentation to support the patent application process. This project provides learners with the opportunity to apply their classroom knowledge of intellectual property and research methodologies to real-world scenarios. The team will focus on gathering relevant data, analyzing existing patents, and ensuring that the documentation meets the necessary legal and technical standards. This project is designed to be completed by a team of learners from a technology or engineering program, allowing them to gain valuable insights into the patenting process and the intricacies of intellectual property management.