Vega Pradana Rachim
Research Scientist
Affiliation: NYU Abu Dhabi
Education: BEng Diponegoro University; MEng Pukyong National University; PhD Pukyong National University
Research Websites: Integrated BioElectronics Laboratory Research Center for Translational Medical Devices (CENTMED)
Research Areas: Wearable and implantable bioelectronics; multimodal sensing; energy harvesting; closed-loop neuromodulation.
Vega Pradana Rachim is a Research Scientist at the Integrated BioElectronics Laboratory and the Research Center for Translational Medical Devices (CENTMED) at New York University Abu Dhabi. His work focuses on developing advanced wearable bioelectronics, multimodal sensing systems, and AI-driven physiological monitoring technologies for real-time, personalized healthcare. He holds a PhD in Electronics Engineering from Pukyong National University, where he specialized in biomedical signal processing, sensor design, and intelligent health monitoring.
Before joining NYUAD, Rachim served as a Postdoctoral Researcher and Research Assistant Professor at POSTECH, contributing to high-impact projects in cardiovascular monitoring, multimodal wearable systems, and the development of fully automated insulin delivery systems. He also led the development team within the university-derived startup CureStream, where he directed the pilot preclinical study in a diabetic animal model; achieving the first real-world demonstration of a Deep Reinforcement Learning-based fully automated insulin delivery system with successful closed-loop glucose regulation. His collaborations with the Samsung Advanced Institute of Technology and Samsung Electronics further resulted in international journal publications and patents.
At NYUAD, Rachim’s research integrates multimodal biosensing (ECG, SCG, bioimpedance, acoustic sensing), embedded AI, and new wearable, non-invasive neuromodulation approaches for peripheral nerve stimulation, enabling adaptive closed-loop therapeutic stimulation. His long-term vision centers on advancing bioelectronic medicine, unifying sensors, AI, and precision neuromodulation to create next-generation technologies for proactive, personalized, and accessible healthcare.