Prof. Dr. Eng. Wisnu Jatmiko, S.T., M.Kom.
Prof. Dr. Eng. Wisnu Jatmiko was educated at University of Indonesia (BSc in Electrical Engineering, Faculty of Engineering, 1997; MSc in Faculty of Computer Science, 2000) and Nagoya University (Dr in Micro-Nano Systems Engineering, 2007).
He currently works as a lecturer at The Faculty of Computer Science, University of Indonesia. He was then a research manager at The Faculty of Computer Science for two terms, 2008-2012 and 2013-2017. Then from 2017-2021, he served as Chair of The Masters and Doctoral Program in Computer Science, Faculty of Computer Science, University of Indonesia. He is also a professor starting September 2017. He holds the IEEE (The Institute of Electrical and Electronics Engineers) Indonesia Section Chair from 2019-2020 and is a Senior Member of IEEE (SMIEEE). His research interests include Micro Nano Systems, Realtime Traffic Monitoring Systems, Telehealth Information Systems, and Autonomous Robot.
“Sustainable intelligence, situated at the dynamic crossroads of robotics and artificial intelligence (AI), plays a pivotal role in driving continuous and impactful digital innovations. As we navigate the ever-evolving landscape of automation, AI emerges as the transformative force that reshapes industries, economies, and societies.
In this context, sustainable intelligence transcends mere efficiency gains. It encompasses a holistic approach that balances technological advancement with environmental stewardship, social equity, and economic prosperity. Let’s delve into the key facets:
Collaborative Systems: AI-powered robots collaborate seamlessly with humans, augmenting our capabilities. From precision agriculture to disaster response, these systems enhance productivity while minimizing resource consumption.
Nature-Inspired Algorithms: Biomimicry inspires AI algorithms that mimic natural processes. For instance, swarm intelligence algorithms optimize logistics, mirroring the behavior of ant colonies.
Ethical AI: Sustainable intelligence demands ethical AI practices. Fairness, transparency, and accountability are essential. Policymakers and practitioners must collaborate to create guidelines that ensure AI benefits all.
Data-Driven Diplomacy: Diplomacy, too, embraces data analytics. By analyzing global trends, identifying common challenges, and fostering cooperation, data-driven diplomacy promotes peace and stability.
Continual Learning: Just as AI models learn from data, organizations must foster a culture of continual learning. Adaptability, resilience, and agility drive sustainable innovation.
In summary, sustainable intelligence fuels a future where AI and robotics harmonize with humanity and the planet, creating lasting impact.