SCES Makerspace Lab

The SCES Makerspace Lab is an initiative that started in 2023 within the School of Computing and Engineering Sciences, to serve as a gathering point for tools, projects, mentors, and expertise. The inspiration behind it is drawn from the current era of Industry 4.0, characterised by tremendous developments in hardware and software, especially in Kenya.


We realised massive potential within the technology and engineering ecosystems and purposed to look into how to contribute to the same by producing innovative and quality low-cost products and equipping future developers and engineers with the actual technical skills needed to “Make Things”.


The Lab is hosted in The Forge Building at Strathmore University and features a vibrant community of student and faculty researchers from SCES, as well as an active network of collaborators that engage with the Lab and School at large through research projects and dissemination events.

Vision

To be a leading hub of Engineering and Technology Innovation into Industry 5.0 through human-centered research and development.

Mission

To connect and support Makers in converting their ideas into groundbreaking innovations.

CORE FOCUS AREAS

Research & Development

Focuses on cutting edge research in engineering and technology design, hardware and software

Project Implementation

Development and implementation of engineering and technology projects with meaningful pathway to impact

Capacity Development

Emphasises on developing skills in technical and entrepreneurial concepts in engineering and technology

PROJECTS & INNOVATIONS

A LoRaWAN Edge Architecture for Remote Monitoring of Forested Environments

The Problem

Forest rangers and other conservation officers face significant challenges in taking care of a large, forested area against destructive events like illegal harvesting of trees.

The Solution

A low-power, low-cost node-gateway system enabled by Long Range Wide Area Network that supports remote monitoring of forests. The nodes are equipped with high-functioning sensors and ML systems for real-time edge data processing.

Developing a DIY IoT-Triggered Unmanned Aerial Vehicle

The Problem

Current UAVs/drones in the consumer market may not meet all customer needs, especially when set to operate in environments that call for technical or operational specifications.

The Solution

To develop low-cost and context-specific UAV that operates within an IoT-enabled setting to facilitate minimal human intervention while ensuring maximum functionality.

Status

Lab Prototyping

Outputs

The hub seeks to produce the following outputs

Research
dissemination

Peer-reviewed journal articles, conference papers, books/book  chapters, technical reports, social media platforms

Capacity
building

Educational and Training Materials, student project supervision,  stakeholder workshops, and webinars

Collaboration
and partnership

Click edit button to change this text. Lorem ipsum dolor sit amet, consectetur adipiscing elit. 

Technological or Scientific Products

Prototypes, patents, datasets, software tools,  models and simulations

Data & Analytics

Data visualizations, dashboards, metadata catalogs, statistical analysis  reports, machine learning models or algorithms

Policy and Advisory Contributions

Policy briefs, position papers, regulatory guidelines,  consultation reports for governments or NGOs, expert testimony

Ongoing Projects


Project 

Aim 

Leads 

Sponsor

The Kenyan Neonatal  Mortality Risk Predictor:  A User-Centered  Evaluation

Evaluating usability of a LMIC ML  model to screen neonatal risk in  Kenya using UCD to achieve SDG  3.2

Dr. Danny  

Nyatuka and Dr.  Rahman Jabin

Royal  

Academy of  

Engineering

A Chatbot to Enhance  Adolescent Mental  Health Wellness in  Kenya

Improving Kenyan adolescent  mental health via co-designed,  culturally relevant social media based digital intervention,  

Dəˈskəs.

Dr. Paul  

Macharia

Royal  

Academy of  

Engineering

Feasibility study for  Solar-Powered Health  Solution (Bright Health)

Feasibility study for Bright Health:  energy-efficient digital tools  improving healthcare in  

marginalized LMIC communities

Mr Pazion T.  

Cherinet and 

Dr. Danny  

Nyatuka

Royal  

Academy of  

Engineering