About me

I am a 4rth year Phd Candidate in the Electrical and Computing Engineering Department of University of California, Santa Cruz working under professor Razvan Marinescu. My primary research interests encompass Signal Processing, Image Reconstruction and Denoising techniques for Medical Imaging applications. Currently, I am investigating the application of shape analysis technqiues in fracture detection Computed Tomography images under compressed sensing constraints.

After getting my integrated MEng from the University of Glasgow in 2017, I worked for four years in industry as an embedded software and DevOps engineer in Belgium and France. My industry experience cultivated a strong desire to advance the state of the art through researching cutting-edge techniques. After performing an extensive literature review, I became particularly interested in Digital Signal Processing applications for Medical Imaging, which became the focus of my doctoral studies. During my first year of PhD I worked on a Poisson-MLEM algorithm for PET scanners on a CUDA interface for parallel computing. My main focus was to use CT scans as an attenuation map input during a reconstruction and obtain the attenuation factors.

DISCLAIMER: I'd like to give credit and thank github user "codewithsadee" whose template "vcard-personal-portfolio" I used as a basis for this website. Wonderful code, beautiful interface.

What i'm doing

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    Digital Signal Processing & Image Reconstruction

    My fascination in DSP stems from the entire process, from the moment an electronic signal arrives to the sensor all the way to the point where the final image or audio output is reconstructed. Moreover, I'm currently researching compressive sensing and 3D implicite scene representation for medical imaging.

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    Medical Imaging & Healthcare

    My interests lie in CT and PET, recently also started working on MRI. My goal is to perform highly accurate signal processing and image reconstruction for low dose scanning protocols. I recently also started investigating the potential of compressed sensing in digital pathology and whole slide imaging.

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    Shape Analysis and Differential Geometry

    My latest research involves applying medial axis extraction for fracture detection in CT images. I'm also interested in using differential geometry and smooth manifolds to extract latent features and information from 3D voxel grids and point clouds.

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    Music Writer and Producer

    In my free time, I enjoy writing and producing music. I've used Cubase and Reaper in the past. You can find my band "Converting Lambdas" on Spotify, Youtube music, Apple Music, etc. I'd very much appreciate it if you have a listen to our music. Curretly working on a new music album, stay tuned.

Supervisor

  • Razvan Marinescu

    Since January 2023 I've started working with professor Razvan Marinescu. Razvan is specialized in AI in Healthcare and has motivated me to look deeper into generative models and Statistical Machine Learning. You can read all about him by clicking here

Daniel lewis
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Daniel lewis

Richard was hired to create a corporate identity. We were very pleased with the work done. She has a lot of experience and is very concerned about the needs of client. Lorem ipsum dolor sit amet, ullamcous cididt consectetur adipiscing elit, seds do et eiusmod tempor incididunt ut laborels dolore magnarels alia.

Research

Research Work & Publications

  1. Language Models for Music Medicine Generation (ISMIR 2024 Late-Breaking Demo Presentation)

    2024

    Emmanouil Nikolakakis, Joann Ching, Emmanouil Karystinaios, Gabrielle Sipin, Gerhard Wimmer, Razvan Marinescu

  2. GaSpCT: Gaussian Splatting for Novel CT Projection View Synthesis (SPIE 2025 Poster Presentation)

    2024

    Emmanouil Nikolakakis, Utkarsh Gupta, Jonathan Vengosh, Justin Bui, Razvan Marinescu

  3. BMapEst: Estimation of Brain Tissue Probability Maps using a Differentiable MRI Simulator (ICML 2024 Workshop on Differentiable Almost Everything)

    2024

    Utkarsh Gupta, Emmanouil Nikolakakis, Moritz Zaiss, Razvan Marinescu

  4. AFEN: Respiratory Disease Classification using Ensemble Learning (Poster Presentation at BayLearn 2024)

    2024

    Rahul Nadkarni, Emmanouil Nikolakakis, Razvan Marinescu

  5. Quantum entanglement for identifying true c in a CZT-based PET system (poster presentation at SPIE Medical Imaging 2023)

    2023

    Emmanouil Nikolakakis, Gregory R. Romanchek, Emily Enlow, Shiva Abbaszadeh

  6. Comparison of Image-Derived Input Functions from a Dedicated Head and Neck PET Scanner and a Commercial System: A Simulation Study (poster presentation at NSS-MIC 2022)

    2022

    Gregory R. Romanchek, Emmanouil Nikolakakis, Guobao Wang, Shiva Abbaszadeh

Experience

Experience

  1. Atempo, Paris: Lead Software Engineer

    01/2020 — 09/2021

    - Toolchain and infrastructure development and maintenance
    - Simultaneous collaboration and support provided for multiple products in development
    - Significant input in source code reviewing and validating processes and refactoring

  2. Altran, Brussels: Consultant Embedded Software and DevOps Engineer

    09/2017 — 09/2019

    - Worked on projects as Embedded Software and DevOps Engineer at Toyota, Thales, NXP and Daikin
    - Developed software for IoT applications, BLE for headphones, aircraft communication systems and autonomous parking
    - Developed CI/CD and test automation infrastructure primarily using Jenkins, Git, Docker and Python

  3. Thermoelectric Conversion Systems Ltd. (TCS), Glasgow: Electronics Engineer Internship

    07/2016-01/2017

    - Designed a test fixture controller for testing thermoelectric generators
    - Development included PCB Design and programming a PIC24 microcontroller

Contact

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