Data Science Research Associate

BENI MULYANA

Current Location : **** Melrose Drive, Champaign, Illinois, USA, 61820

Mobile Phone Number : +1-217-***-****

Email : ************@*****.***

LinkedIn : https://www.linkedin.com/in/beni-mulyana

GitHub : https://github.com/bmulyana1111

Researcher 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 Experience

Postdoctoral Research Associate

Department of Bioengineering, University of Illinois at Urbana-Champaign

January 2024 – Present

Conducting 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 Engineer

Universal Real Time Power Conversion, Milwaukee, WI

August 2022 - February 2023

Designed 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 Researcher

Laureate Institute for Brain Research, Tulsa, OK

October 2016 - August 2022

Conducted 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 Assistant

University of Oklahoma

2016 - 2022

Developed 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.

Publications

Han 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/s23073762

Luo, 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

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