Arda Goknil

Arda Goknil serves as an Assistant Professor in the Department of Computer Science at the Faculty of Technology, Art and Design, Oslo Metropolitan University (OsloMet). His research focuses on critical challenges in Industrial Internet of Things (IIoT), sustainable computing, and data reliability within cyber-physical systems.

Dr. Goknil's primary research areas include:

• Carbon-aware machine learning pipelines for environmental sustainability
• Intermittent computing solutions for batteryless IoT devices
• Industrial data quality assurance and repair mechanisms
• Edge-based AI for manufacturing applications
• Computer vision in retail technology

His work addresses real-world industrial needs through publications in ACM conferences and journals, emphasizing practical implementations in manufacturing and resource-constrained environments. Recent publications (2023-2025) reveal a strong trend toward developing tools like 3D-DaVa for point cloud validation and REPTILE for continual learning in IIoT, demonstrating cross-cutting contributions to data reliability and energy efficiency.

While specific advising relationships are unlisted, his research aligns with OsloMet's Innovation, Digital Transformation and Sustainability group. No scientific awards or grant details appear in the provided text, though his active publication record indicates ongoing research leadership in sustainable IoT systems.