Technology plays a central role in achieving the Sustainable Development Goals (SDGs), particularly SDG 9 (Industry, Innovation, and Infrastructure), SDG 4 (Quality Education), SDG 3 (Good Health and Well-being), and SDG 13 (Climate Action). The transformative power of technology can accelerate progress towards all the SDGs by driving economic growth, reducing inequalities, enhancing access to basic services, and promoting sustainability.

Under SDG 9, technology, particularly in terms of Information and Communication Technology (ICT), is a key enabler of industrial innovation and infrastructure development. ICT has the potential to drive economic growth by enhancing productivity, creating jobs, and fostering entrepreneurship. Moreover, it can contribute to making industries more sustainable by facilitating the transition towards smart manufacturing and circular economy models.

Regarding SDG 4, technology can greatly enhance access to quality education. Digital technologies, including e-learning platforms, can break down barriers to education, such as geographical distance, socio-economic status, and physical disabilities. They can also enrich the learning process by enabling personalized, student-centered learning experiences.

In the context of SDG 3, technology has a profound impact on health outcomes. Medical technologies, from simple devices like thermometers to complex systems like MRI machines, have revolutionized healthcare delivery. Furthermore, digital health technologies, such as telemedicine and mobile health apps, can enhance access to health services, improve patient outcomes, and reduce healthcare costs.

For SDG 13, technology offers powerful tools for mitigating and adapting to climate change. Renewable energy technologies can help to reduce greenhouse gas emissions, while climate information services can enhance resilience to climate impacts. Furthermore, digital technologies can facilitate the monitoring and reporting of climate actions, contributing to greater transparency and accountability.

However, the benefits of technology are not automatic, and there are significant challenges to overcome, including the digital divide, cybersecurity threats, and ethical issues related to privacy and data ownership. Thus, policy interventions and multi-stakeholder partnerships are needed to ensure that technology serves as a catalyst for sustainable development and does not exacerbate inequalities.

Supporting Goal 14: Life Below Water, Oceanology International North America's world-class exhibition and conference helps organisations reach buyers from key market regions and sectors worldwide and help them improve their strategies for measuring, developing, protecting and operating in the world’s oceans.
Examination of the life-centred design approach, which provides a more holistic perspective to the production of interactive products by decentring humans. Article puts forward a practical framework for life-centred design, allowing for environmental and ethical concerns to be highlighted.
The ultimate goal of organic solar cells (OSCs) is to deliver cheap, stable, efficient, scalable, and eco-friendly solar-to-power products contributing to the global carbon neutral effort. This work demonstrates great potential to close the lab-to-fab gap of OSCs.
Elsevier, Digital Signal Processing: A Review Journal, Volume 123, 30 April 2022
With the continuous development of human society, people's over-exploitation of nature leads to frequent environmental problems. A large number of floating objects appear on lakes, rivers, reservoirs and other water surfaces. Water floats have seriously damaged the ecological environment and directly threatened the survival and development of human beings. Therefore, for the sustainable development of human beings, we must solve the problem of water pollution. The detection of floating pollutants on water surface is the primary goal of water resource management.
Health care providers and technology companies may consider forming health equity advisory algorithmic stewardship committees that can provide oversight and evaluate the design and implementation of real-world AI/ML solutions.

Introduction: Robust occupant protection is critical for the longevity and quality of life of the diverse driving population. Studies have shown that the vehicle crash testing process has greatly assisted in decreasing the severity of injuries experienced by occupants. However, female occupants are not equitably accounted for in the current testing processes while experiencing a significantly increased risk of higher severity injuries compared to male occupants in comparable crash conditions.

Elsevier, IFAC Journal of Systems and Control, Volume 19, March 2022
The optimal control of a water reservoir system represents a challenging problem, due to uncertain hydrologic inputs and the need to adapt to changing environment and varying control objectives. In this work, we propose a real-time learning-based control strategy based on a hierarchical predictive control architecture.

Mohammad Mehdi Golbini Mofrad, Iman Parseh, Mokhtar Mahdavi,

Chapter 11 - Hazardous and industrial wastewaters: from cutting-edge treatment strategies or layouts to micropollutant removal,

Editors: Abdul Mohammad and Wei Ang,

Integrated and Hybrid Process Technology for Water and Wastewater Treatment,



Pages 233-251,

ISBN 9780128230312

This chapter advances SDG 6 and 9 by identifying and investigating state-of-the-art remediation approaches and technologies that help the disposal of hazardous sewage for sustainable and safe reuse.


Journal of Responsible Technology, Volume 10, 2022, 100027

Authors argue that 'we need a sustainability transformation of the digital transformation'. A long-term perspective is required to embed sustainability into the software engineering industry.
Elsevier, Measurement: Journal of the International Measurement Confederation, Volume 190, 28 February 2022
The present paper aims to describe the project and development of an ECG monitoring system which is able to diagnose specific cardiac pathologies by adapting the processing algorithm to the monitored patient. The system can work standalone by providing the final diagnosis to the patient by a LEDs set. In addition, an IoT based architecture allows the system to share data and diagnosis with a remote cardiologist in real-time or to store data in a FTP folder, as an Holter monitor, for post-processing and further analysis.