벨루볼루칼리아나차크라바르띠 교수(IT대학 전자공학부)

o (2002) B.Tech., Acharya Nagarjuna University, India
o (2007) Ph.D., Nanyang Technological University, Singapore

(2019.10–Present) Professor, College of IT Engineering, Kyungpook National University, Daegu, Korea
(2024.09–2025.08) Visiting Professor, School of Computer Science and Engineering, National Sun-Yat Sen University, Taiwan
(2013.04–2019.09) Associate Professor, College of IT Engineering, Kyungpook National University, Daegu, Korea
(2009.03–2013.03) Assistant Professor, College of IT Engineering, Kyungpook National University, Daegu, Korea
(2006.12–2009.01) Postdoctoral Research Fellow, Robotics Research Center, Nanyang Technological University, Singapore

Brain-Computer Interface, EEG Signal Processing, Functional Brain Networks, Neural Disorders, Shared Control, Human-Machine Interaction, Autonomous Vehicles, Nonlinear Control, Sliding Mode Observers, Biomedical Robotics, Microsurgery Assistance, Wearable Sensors, Tremor Filtering, AI in Healthcare, Motion Prediction, Smart Rehabilitation Systems, Intelligent Transportation Systems, Signal Decomposition, Phase Synchrony Analysis, Fault Detection and Diagnosis.

Developed advanced sliding mode observer frameworks for state estimation and fault reconstruction in nonlinear uncertain systems, published in IEEE TIE and IET Control Theory & Applications.

Pioneered real-time tremor modeling and cancellation techniques for surgical robotics using adaptive and machine learning methods, with key results in IEEE TBME and IEEE Sensors Journal.

Introduced multi-step prediction models for physiological motion (e.g., respiratory, tremor) using ensemble learning and support vector machines, significantly advancing robotic microsurgery, published in IEEE TCYB and Applied Soft Computing.

Proposed novel EEG signal decomposition and adaptive feature extraction methods for brain-computer interfaces (BCI), enabling improved detection of motor imagery and cognitive states, with publications in Journal of Neuroscience Methods, IEEE JSTSP, and Frontiers in Neuroscience.

Led the identification and characterization of brain functional networks associated with dementia and neurological disorders using phase synchrony and graph-based methods, published in IEEE Transactions on Neural Systems and Rehabilitation Engineering (TNSRE).

Contributed robust control and estimation algorithms for electric vehicles and industrial drives, focusing on fault-tolerant control and sensor fault diagnosis, published in IEEE TIE and IEEE/ASME Transactions on Mechatronics.

https://scholar.google.com/citations?user=gEYCDMMAAAAJ&hl=en