Hasan Demirel

About

Hasan Demirel is a multidisciplinary researcher whose work spans robotics, artificial intelligence, and human-robot interaction. His research career reflects a fascinating intellectual evolution — beginning with foundational contributions to mechanical systems analysis and progressing toward cutting-edge applications in machine perception and collective robotics. Early in his career, Demirel made notable contributions to kinematic analysis, developing graph-based methodologies for bevel-gear trains and tendon-driven robotic mechanisms, work that established a rigorous theoretical framework still referenced today. He subsequently pivoted toward AI-driven perception systems, achieving his most-cited work with a 3D CNN-based speech emotion recognition system (155 citations) that leverages K-means clustering and spectrogram analysis — a significant advancement for human-robot emotional intelligence. More recently, Demirel has focused on human-collective robotic systems, investigating how transparency and visualization design influence the performance of human-swarm teams. This research addresses pressing questions about trust, coordination, and situational awareness in collective robotic deployments for applications such as disaster response and environmental monitoring. Across these diverse domains, his cumulative citation record demonstrates meaningful impact, making his profile particularly valuable for researchers working at the intersection of robotics, deep learning, and human-machine teaming.

Research Focus

Key Achievements

Top Papers

1. 1
   3D CNN-Based Speech Emotion Recognition Using K-Means Clustering and Spectrograms

   155 citations · 2019
2. 2
   Image scene geometry recognition using low-level features fusion at multi-layer deep CNN

   61 citations · 2021
3. 3
   Real-time ensemble based face recognition system for NAO humanoids using local binary pattern

   32 citations · 2017
4. 4
   Kinematic analysis of tendon-driven robotic mechanisms using oriented graphs

   19 citations · 2006
5. 5
   Kinematic analysis of bevel-gear trains using graphs

   13 citations · 2005
6. 6
   TSAI–TOKAD (T–T) Graph: The Combination of Non-oriented and Oriented Graphs for the Kinematics of Articulated Gear Mechanisms

   11 citations · 2005
7. 7
   Human-collective visualization transparency

   8 citations · 2021
8. 8
   Transparency’s Influence on Human-collective Interactions

   5 citations · 2022
9. 9
   Visualization Design for Human-Collective Teams

   5 citations · 2019

Key Collaborators

Contact & Links