I am an accomplished researcher with a strong foundation in artificial intelligence, robotics, and neuromorphic computing, dedicated to creating innovative solutions for real-world challenges. My expertise spans real-time perception, event-driven vision systems, and advanced algorithm development, with a focus on translating cutting-edge research into practical applications. Throughout my academic journey, I have made significant contributions to human-centered AI, autonomous systems, and intelligent robotics, emphasizing the design of adaptive and efficient systems for dynamic environments. My work includes high-impact publications, collaborative industry projects, and advanced experimental demonstrations, showcasing my commitment to advancing autonomous and assistive technologies.
Neuromorphic Computing for Interactive Robotics: A Systematic Review
(IEEE Access)
Event Camera-Based Real-Time Gesture Recognition for Improved Robotic Guidance
IJCNN 2024
https://ieeexplore.ieee.org/document/10650870/citations?tabFilter=papers#citations
Efficient data processing pipeline for event-based vision datasets: techniques and insights
(Engineering Research Express)
https://iopscience.iop.org/article/10.1088/2631-8695/ad9235/meta
Vibration Vision: Real-Time Machinery Fault Diagnosis with Event Cameras
(ECCV-NeVi 2024)
In Proceedings
Multimodal Cognitive Load Estimation in Human-Robot Interaction: Integrating Physiological and Behavioral Dynamics
(IEEE Transactions)
Submitted
Measuring Cognitive Load Through Event Camera-Based Human-Pose Estimation
(Human Friendly Robotics 2024)
In Proceedings
Best Presentation Award, Sheffield Robotics Mini-Pitch Competition 2024
Best Poster Award, Sheffield Hallam University, I2RI Winter Poster Event 2024
Funding Box Hackathon Winner, 2024
IOP Publishing Outstanding Reviewer Award, 2023, 2024
PERSEO, MSCA Horizon 2020, Grant Agreement No. 955778 (10/2021 - 09/2024)
DAAD Masters Funding Program (09/2018 - 11/2020)