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Mobile Phone Number : PHONE NUMBER AVAILABLEEmail : EMAIL AVAILABLELinkedIn : https://LINKEDIN LINK AVAILABLEGitHub : https://github.com/bmulyana1111Researcher and engineer with extensive experience in electrical and computer engineering, telecommunication, real-time brain modulation, neuroimaging, and data science. Seeking a challenging role as an AI Research Scientist specializing in Computer Vision with a focus on advancing human understanding and telepresence technologies.Professional ExperiencePostdoctoral Research AssociateDepartment of Bioengineering, University of Illinois at Urbana-ChampaignJanuary 2024 PresentConducting cutting-edge research in brain imaging and data analysis, with a focus on EEG, EMG, and non-invasive brain stimulation protocol development.Contributing to advancements in rehabilitation for individuals with chronic stroke or other neurological disorders.Publishing high-quality articles and collaborating with interdisciplinary teams.FPGA Design EngineerUniversal Real Time Power Conversion, Milwaukee, WIAugust 2022 - February 2023Designed FPGA circuits using Verilog and VHDL for microprocessor peripherals.Utilized Intel Quartus and ModelSim for FPGA design and testing.Developed projects using Intel Stratix 10 GX/MX and Cyclone V/IV devices, incorporating DDR4 and High Bandwidth Memory (HBM2) for improved throughput.Ph.D. Graduate ResearcherLaureate Institute for Brain Research, Tulsa, OKOctober 2016 - August 2022Conducted groundbreaking research in online closed-loop real-time transcranial electrical stimulation (tES) and functional magnetic resonance imaging (fMRI) for brain modulation.Developed a comprehensive approach integrating tES and fMRI in a closed-loop system, enabling real-time brain activity modulation during scanning.Accelerated MRI image acquisition using Nvidia GPUs and optimized reconstruction functions.Ph.D. Research AssistantUniversity of Oklahoma2016 - 2022Developed and enhanced tracking algorithms for pedestrian tracking using Python.Utilized deep learning for Bitcoin price prediction and surveyed deep reinforcement learning algorithms for robotic manipulation tasks.PublicationsHan D, Mulyana B, Stankovic V, Cheng S. A Survey on Deep Reinforcement Learning Algorithms for Robotic Manipulation. Sensors. 2023; 23(7):3762. https://doi.org/10.3390/s23073762Luo, Q, Misaki, M, Mulyana, B, Wong, C-K, Bodurka, J. Improved autoregressive model for correction of noise serial correlation in fast fMRI. Magn Reson Med. 2020; 84: 1293 1305. https://doi.org/10.1002/mrm.28203 |
