About me

Doctoral Researcher, Department of Computing Sciences, Tampere University, Finland

I develop AI-driven smart indoor environments that improve health and comfort while ensuring privacy and sustainability through IoT sensor networks.

📧 aygun.varol@tuni.fi 📄 CV 🎯 DSc Poster

Research Interests

In my research, I aim to find an optimal integration of Internet of Things (IoT) sensor networks in indoor environments and develop smart systems that efficiently collect and process data in order to create comfortable, healthy, and sustainable living and working spaces. I am also interested in the applications of AI models such as transformer networks and Large Language Models (LLMs) to enhance smart space functionalities. In parallel with the use of AI, I investigate the potential risks of deploying autonomous AI agents in smart spaces and how to mitigate them.

AI Assistant

Try asking:

  • How do you use IoT sensors in your research?
  • What is the EVIL-AI project about?
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Bio

I am in my third year of D.Sc. studies at Tampere University. I have three supervisors for my doctoral research: Associate Professor Johanna Virkki (my main supervisor at Tampere University), Dr. Naser Hossein Motlagh (a co-supervisor at the University of Helsinki), and Dr. Mirka Leino (a co-supervisor at Satakunta University of Applied Sciences). I am affiliated with the Augmentative Technology Group and take part as a researcher in the EVIL-AI project, which investigates the negative effects of AI and explores strategies for mitigation.

Prior to my position at Tampere University, I was research assistant at Isparta University of Applied Sciences where I also earned my M.Sc. in Electrical and Electronics Engineering. During my master’s studies, I focused on analog circuit design under the supervision of Prof. Abdülkadir Çakır (my main supervisor) and Assoc. Prof. Fırat Yücel (my co-supervisor at Akdeniz University). I earned my B.Sc. in Electrical and Electronics Engineering from Manisa Celal Bayar University. My research was on industrial automation under the guidance of Prof. Sezai Taşkın.

My Latest AI Podcasts and Articles

For more, please visit the Productivity page.

AI in Biology

Human Expertise into Software Prompts

Malicious Use and Abuse of AI

AI-Native Engineering

Machine Age

Catastrophic Misalignment

AI Agents for Scientific Discovery

AI Agents for Scientific Discovery by Aygün Varol

The new AI race is about systems that act

Read on Substack

The new AI story: agents are leaving the chat window

The new AI story: agents are leaving the chat window by Aygün Varol

AI systems are turning into workers, operators, researchers, phone agents, memory systems, weather forecasters, and scientific collaborators.

Read on Substack

AI has not removed the need for engineering judgment. It has moved engineering judgment one level higher.

AI has not removed the need for engineering judgment. It has moved engineering judgment one level higher. by Aygün Varol

Imagine a young engineer named Deniz.

Read on Substack

AI is learning to work longer, but we still do not know how much we can trust it

AI is learning to work longer, but we still do not know how much we can trust it by Aygün Varol

AI is being delegated real work. Now everyone is discovering that delegation is harder than conversation.

Read on Substack

Claude Agent Skills

OpenAI Strategy

Claude Opus 4.5

AI is moving closer to sensitive parts of life

AI is moving closer to sensitive parts of life by Aygün Varol

What data does it touch, what actions can it take, and who controls the boundary?

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AI Is Becoming Part of the Infrastructure

AI Is Becoming Part of the Infrastructure by Aygün Varol

AI Is Moving from Intelligence Feature to System Infrastructure

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GPT 5.1 Codex Max

Limits of AI

Microsoft’s Vision for AGI

Understanding Prompt Injections

Unifying MCP Servers