We were very pleased to attend Dr Veluvolu’s engaging talk on the topic of multidimensional signal modelling and processing for bio-medical systems and robotics. This talk was delivered after a week-long visit at the Intelligent Sensing Lab, where he collaborated with academics within the field and explored our extensive facilities and equipment.
Precision, robustness and intelligence are the design indices for current generation bio-medical systems and robotics. Advanced signal processing and machine intelligence framework in robotic systems that deals with complex problems, requires an effective integration of perception, cognition, and action. This talk will focus on how integration of perception (multi-sensor configurations) and cognition (multi-dimensional modelling and learning) improves the ultimate performance of the system. In the first half of the presentation, I will introduce problems in wearable sensors and demonstrate how proposed approach solves the problem. In the second half, I will introduce the challenges in surgical robotics and present our research efforts on multi-dimensional (3D and 4D) modelling that show improved performance.
Dr Veluvolu Biography:
Dr Veluvolu is an Associate Professor of Electronics Engineering at Kyungpook National University, South Korea where he leads the research group to pursue multi-disciplinary research in medical robotics, brain-computer interface, wearable sensors and autonomous systems. He is particularly interested in developing technology for biomedical and health-care related fields. He has served as TPC program co-chair for the I-Create’15 and CEIT’15. He is a Senior Member of the IEEE. He has been a Principal Investigator or a Co-investigator on a number of research grants funded by the NRF, and other agencies. He has authored or co-authored over 100 journal articles and conference proceedings.