Md Navid Akbar, Phd

Md Navid Akbar, Phd Email and Phone Number

Algorithm Scientist @ Vios Medical
Fullerton, CA, US
Md Navid Akbar, Phd's Location
Fullerton, California, United States, United States
About Md Navid Akbar, Phd

PROFESSIONAL SUMMARYI am an Algorithm Scientist at Murata Vios, a leading wearable medical device company. I have 9+ years of experience in algorithm design, including 2.5+ years in the US industry (Permanent Resident). I hold a PhD in Computer Engineering from Northeastern University, where I focused on ML inference with 3D brain stimulation and multimodal neuroimaging seizure detection. EXPERTISE• Designing deep learning (e.g., CNN, RNN), generative AI (e.g., VAE, LSTM), and machine learning models (e.g., random forest, SVM) for segmentation, classification, reconstruction, multimodal fusion, prediction, etc.• Developing computer vision algorithms for 2D, 3D imaging in Python (PyTorch, TensorFlow, OpenCV), and signal processing algorithms in MATLAB and Python for time-series biomedical signals and sensors• Proficiency in data curation, feature extraction, statistics, root cause analysis, explainability, version control• Experience collaborating with cross-functional teams, deriving research scope, analyzing algorithm deployment, complying with regulatory standards, and communicating findings to diverse stakeholdersTECHNICAL SKILLS • Python: PyTorch, TensorFlow, Keras, Scikit-learn, OpenCV, Scikit-image, Pandas, SHAP, NumPy, Matplotlib, Seaborn, TensorBoard, Nibabel, Pydicom• ML and Signals: VAE, U-Net, YOLO, Mask R-CNN, Vision Transformer, Wavelets, Fourier, Filtering• Programming: MATLAB, C, C++, Java, Linux (Terminal, GUI), SQLite• IDE and Deployment: Visual Studio Code, Jupyter, Docker, Android Studio• Cloud and Office: GitHub, BitBucket, Firebase, AWS S3, HTML, Microsoft Office, Overleaf (LaTeX)• Imaging and Workflow: FSL, ITK-SNAP, Adobe Suite, Roboflow

Md Navid Akbar, Phd's Current Company Details
Vios Medical

Vios Medical

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Algorithm Scientist
Fullerton, CA, US
Md Navid Akbar, Phd Work Experience Details
  • Vios Medical
    Algorithm Scientist
    Vios Medical
    Fullerton, Ca, Us
  • Vios Medical
    Algorithm Scientist
    Vios Medical Nov 2023 - Present
    Woodbury, Minnesota, Us
    • Measure ST segment changes by segmenting multi-channel cardiac time series (6 ms, validation), to detect myocardial ischemia with filtering and signal processing, for the wearable Vios patient monitor [MATLAB]• Automate data quality and failure mode analysis, test hardware and analyze collected data, and prepare external datasets for validating algorithm to comply with applicable ANSI/AAMI industry standards• Develop a U-Net based, ECG segmentation DL model PoC for in-progress, server-side ML workflow [Python]• Derive algorithm features and design choices by adhering to clinically derived user inputs, communication across cross-functional teams (HW, SW, system, UI, marketing), and FDA 510k regulatory requirements
  • Transmural Systems
    Computer Vision Data Scientist
    Transmural Systems Jan 2023 - Nov 2023
    Andover, Massachusetts, Us
    • Tracked in real-time (0.5s latency) medical devices under low-field MRI, with a hybrid CV instance segmentation (YOLO) and motion kinematics model, improving detection over SOTA (DINO, SAM) [OpenCV]• Created image annotations (100+), and developed basic UI for region-of-interest selection in video inference• Authored an NSF grant pitch, and maintained documentation following FDA guidelines
  • Northeastern University
    Graduate Research Assistant
    Northeastern University Sep 2018 - Dec 2022
    Boston, Ma, Us
    • Modeled 3D functional neuroimaging by brain stimulation (TMS) to causal EMG response via deep learning convolutional regression (16% error reduction) with interpretable domain knowledge fusion [TensorFlow]• Designed a first-of-its-kind VAE inspired, generative 3D convnet for inverse imaging of brain motor excitation mapping from TMS-induced 1D EMG muscle activity (R2: 99.6% max), for rehabilitation planning [TensorFlow]• Designed novel multimodal fusion algorithms (2) with explainable ML, for seizure classification and biomarker identification (2 from 564), with unsupervised treatment of missing data in dMRI, fMRI, EEG [Scikit-learn]• Classified binary seizures (8% AUC increase) using brain dMRI preprocessing, feature selection, boosted trees, and statistical analysis [Scikit-learn, Pandas] • Preprocessed and set up (2) in-house neuroimaging and neuromodulation data pipelines [FSL, MATLAB]• Analyzed a large data set (500k words) using an NLP model on a distributed computing backend [PySpark]• Improved (8% IOU) a crowdsourced image annotation task using HCI theories [HTML, AWS S3]• Revamped an Android app (phone, watch) to log wellness and IMU sensor activity (10+ users) [Java]• Assisted an NIH grant renewal preparation, and mentored graduate data science courses (35+ students)• Received two best paper awards (IEEE and ACM conferences) and funding (Fellowship, NSF travel grant, etc.) • Reviewed journals and conferences (10 papers), and organized technical seminars in Dept. of ECE
  • Philips
    Ai Research Intern
    Philips Jun 2021 - Dec 2021
    Amsterdam, Noord-Holland, Nl
    • Predicted image-guided, surgical device trajectory with multimodal fluoroscopy and time series robotics data using a Conv-LSTM recurrent neural network, reducing (up to 85%) radiation exposure [PyTorch]• Quantified lung disease severity from chest x-ray clinical imaging using Siamese convolutional neural network with DenseNet, improving (4% AUC) over SOTA with smaller data, without expensive pre-training [PyTorch]• Developed a self-contained workflow for ML deployment [Docker]
  • University Of Texas At Dallas
    Graduate Assistant
    University Of Texas At Dallas Jan 2016 - Aug 2018
    Richardson, Texas, Us
    • Developed two signal processing algorithms: improved adaptive wireless receiver performance with lower complexity (3x savings) | improved (28dB) RSSI of indoor 5G reception by beam steering [MATLAB]• Denoised and classified (90% accuracy) ECG signals with wavelets, SVM, and cloud [MATLAB] • Drafted a research review (22 papers) on noninvasive glucose and alcohol wearable sensor monitoring • Taught embedded systems lab using TI MSP 430, focusing on programming, I/O, and sensor analytics [C] • Assisted preparation of grant proposals (NSF, DoD) and teaching engineering courses [400+ students]
  • Tuskegee University
    Graduate Teaching Assistant
    Tuskegee University Sep 2015 - Dec 2015
    Tuskegee, Alabama, Us
    • Mentored an undergraduate engineering lab [10+ students]
  • Huawei Technologies
    Solutions Engineer
    Huawei Technologies Sep 2014 - Aug 2015
    Shenzhen, Guangdong, Cn
    • Designed optical, FTTX, IP core, and microwave communication product solutions (4 telecom clients)

Md Navid Akbar, Phd Education Details

  • Northeastern University
    Northeastern University
    Computer Engineering
  • The University Of Texas At Dallas
    The University Of Texas At Dallas
    Electronics And Communications Engineering
  • Bangladesh University Of Engineering And Technology
    Bangladesh University Of Engineering And Technology
    Electrical And Electronics Engineering

Frequently Asked Questions about Md Navid Akbar, Phd

What company does Md Navid Akbar, Phd work for?

Md Navid Akbar, Phd works for Vios Medical

What is Md Navid Akbar, Phd's role at the current company?

Md Navid Akbar, Phd's current role is Algorithm Scientist.

What schools did Md Navid Akbar, Phd attend?

Md Navid Akbar, Phd attended Northeastern University, The University Of Texas At Dallas, Bangladesh University Of Engineering And Technology.

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