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As we move closer to the 6G era (expected around 2030), Visible Light Communication (VLC) is evolving from a promising laboratory technology into a core component of next-generation wireless infrastructure. In this post, I share my perspective on where VLC fits in the 6G puzzle — and why hybrid VLC/RF systems are the key to unlocking its potential.
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The narrative that “proprietary is better” in Artificial Intelligence is officially dead. By early 2026, the gap between closed-source giants and the open-source community has not just narrowed—it has effectively closed.
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VLC is often described as “naturally secure” because light does not penetrate walls like RF. That’s a useful intuition—but security engineering needs a more precise view.
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Quantum technologies are moving from theory to engineering reality. For IoT systems, the most immediate implication is not “quantum computers running our networks”, but the security risk that future quantum computers could break widely-used public‑key cryptography.
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As we advance our AGRIFARM-AI project, I want to share our research vision for the next five years. The convergence of agentic AI, multi-agent systems, and precision agriculture opens unprecedented opportunities for autonomous food production.
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Agricultural data is inherently distributed across farms, regions, and countries. Federated Learning (FL) enables collaborative AI training without centralizing sensitive farm data—a critical requirement for both privacy and sovereignty.
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Climate change poses existential threats to global food security. While AI-powered climate models excel at prediction, a critical gap remains: translating forecasts into farmer actions. Our research addresses this through a complete causal chain from data to validated outcomes.
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Precision agriculture demands coordinated decision-making across multiple subsystems—irrigation, fertilization, pest control, and energy management. Multi-Agent Reinforcement Learning (MARL) provides an elegant framework for this coordination challenge.
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The transition from retail indoor environments to controlled environment agriculture (CEA) represents a natural evolution for Intelligent Management Systems (IMS). Our research, originally validated at ACM MobiCom 2023 for hybrid VLC/RF networks, is now being adapted for greenhouse agriculture with remarkable potential.
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Python has become the go-to language for data analysis. Here’s a guide for beginners starting their data analysis journey.
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Predicting customer satisfaction before issues arise is a game-changer for service industries. Machine learning makes this proactive approach possible.
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The Internet of Things (IoT) is revolutionizing agriculture, enabling farmers to make data-driven decisions and optimize resource usage.
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Artificial Intelligence is transforming how we manage and optimize wireless networks. AI agents can make real-time decisions that would be impossible for human operators.
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Light Fidelity (LiFi) technology is revolutionizing how we think about wireless communication. Unlike traditional WiFi that uses radio waves, LiFi transmits data using visible light from LED bulbs.
