Doruk Senkal

Papers

Total Citations

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About

Doruk Senkal is a researcher whose work bridges mechanical systems and artificial intelligence, with key contributions in haptic interfaces and human activity recognition. His early research introduced a passive haptic interface utilizing MR-brakes to enhance precision in dental implant surgery, a critical application where positioning errors can cause nerve damage and implant failure. This foundational work, cited 16 times, demonstrates his focus on improving safety and accuracy in medical procedures through novel engineering solutions. More recently, Senkal has advanced the field of human activity recognition (HAR) with his development of CHARM, a hierarchical deep learning model for classifying complex activities using motion sensors. Unlike traditional HAR models limited to simple event detection like step counting or fall detection, CHARM enables nuanced recognition of multi-step, intricate behaviors, earning 6 citations since 2022. This work reflects his shift toward leveraging deep learning for real-world sensor data analysis. Senkal’s impact lies in his ability to integrate mechanical design with computational intelligence, addressing challenges from surgical precision to activity monitoring. His research offers practical tools for healthcare and wearable technology, making him a notable figure in applied engineering and AI.