Resume

General Information

Name Kerem Delikoyun
Speciality Machine Learning Engineer
Email kerem.delikoyun@tum-create.edu.sg

Work

  • Aug 2021 - Present

    Singapore

    Research Associate
    TUMCREATE
    • Computer vision, natural language processing, agentic AI, medical imaging, machine learning

Education

  • Dec 2025

    Germany

    Doctor of Philosophy (Ph.D.)
    Electrical and Computer Engineering, Technical University of Munich
  • Mar 2023

    Germany

    Masters of Science (M.Sc.)
    Physics, Technical University of Munich
  • Jun 2015

    Turkey

    Bachelor of Science (B.Sc.)
    Engineer Physics, Gaziantep University

Awards & Honors

  • Mar 2025

    Singapore

    TextArena Agent Hackathon Finalist
    AITinkerers
  • Mar 2023

    Germany

    M.Sc. with the highest distinction
    Technical University of Munich
  • Oct 2020

    Turkey

    4th Place in National Patent Competition
    Turkish Patent Institute
  • Jun 2015

    Turkey

    B.Sc. as salutatorian
    Gaziantep University

Certificates

  • AWS Certified AI Practitioner
    • Amazon Web Services (AWS) - Issued Oct 2024 · Expires Oct 2027
  • AWS Certified Cloud Practitioner
    • Amazon Web Services (AWS) - Issued Oct 2024 · Expires Oct 2027
  • Large Language Model (LLM)
    • DataTalksClub - Issued Oct 2024
  • MLOps
    • DataTalksClub - Issued Sep 2024

Publications

2025

  1. TriAgent: Automated Biomarker Discovery with Deep Research Grounding for Triage in Acute Care by LLM-Based Multi-Agent Collaboration
    Kerem Delikoyun, Qianyu Chen, Win Sen Kuan, and 3 more authors
    arXiv, 2025
  2. Real-Time Deep Learning Phase Imaging Flow Cytometer Reveals Blood Cell Aggregate Biomarkers for Haematology Diagnostics
    Kerem Delikoyun, Qianyu Chen, Liu Wei, and 13 more authors
    arXiv, 2025
  3. RT-HAM: Real-Time Holographic Agent Microscopy – An End-to-End Foundation Model for Quantitative Phase Imaging in Haematology Diagnostics Towards Automated Discovery of Predictive Biomarkers in Acute Care
    Kerem Delikoyun, Qianyu Chen, Liu Wei, and 9 more authors
    Computer Vision for Science Workshop, CVPR 2025, 2025
  4. OAH-Net: A Deep Neural Network for Efficient and Robust Hologram Reconstruction for Off-Axis Digital Holographic Microscopy
    Wei Liu*, Kerem Delikoyun*, Qianyu Chen, and 7 more authors
    Biomedical Optics Express, 2025
  5. Quantitative Analysis of Leukocyte Activation in Inflammatory Acute Conditions Using Digital Holographic Microscopy
    Kerem Delikoyun, Alperen Yildiz, Yijing Jiang, and 5 more authors
    SPIE BIOS West 2025, 2025
  6. Through Standardized Measurements for Clinics: A Novel Autofocusing Framework for Digital Holographic Microscopy
    Alperen Yildiz, Yijing Jiang, Kerem Delikoyun, and 3 more authors
    SPIE BIOS West 2025, 2025

2024

  1. Leukocyte Activation Assay Using AI-Enhanced Digital Holographic Microscopy
    Kerem Delikoyun, Qianyu Chen, Johannes Krell, and 7 more authors
    EECSS’24, 2024

2021

  1. HologLev: A Hybrid Magnetic Levitation Platform Integrated with Lensless Holographic Microscopy for Density-Based Cell Analysis
    Kerem Delikoyun, Sena Yaman, Esra Yilmaz, and 6 more authors
    ACS Sensors, 2021
  2. Deep Learning-Based Cellular Image Analysis for Intelligent Medical Diagnosis
    Kerem Delikoyun, Ersin Cine, Muge Anil-Inevi, and 3 more authors
    Artificial Intelligence for Data-Driven Medical Diagnosis, De Gruyter, 2021
  3. Lensless Holographic Microscopy
    Kerem Delikoyun, Ali Aslan Demir, Engin Ozcivici, and 1 more author
    Imaging Modalities for Biological and Preclinical Research: A Compendium, Volume 1: Part I: Ex Vivo Biological Imaging, IOPscience, 2021

Patents

  • 2025
    Quantitative Analysis of Immune Cell and Platelet Aggregate Activation Using Realtime and End-To-End Image Processing Framework for Digital Holographic Microscopy
    10202500263R (patent pending)
  • 2024
    Real-Time And End-To-End Image Processing Framework for Digital Holographic Microscopy
    10202401892U (patent pending)
  • 2023
    Hybrid Detection and Separation of Target Cells Using Magnetic Levitation and Deep Learning
    WO2023018398A1 (published)
  • 2021
    Cell viability analysis and counting from holograms by using deep learning and appropriate lensless holographic microscope
    WO2021076075A2 (published)
  • 2021
    Protein Detection Using Lensless Holographic Microscopy Imaging Technique in a Magnetic Levitation Setup
    WO2021086293A2 (published)

Skills

  • #Biomedical-imaging
    • Digital Holographic Microscopy (DHM)
    • Quantitative Phase Imaging (QPI)
  • #Computer-vision
    • Convolutional Neural Networks (CNN)
    • Vision Transformers (ViT)
    • OpenCV
    • Image Segmentation & Object Detection
  • #Natural-language-processing
    • Multi-agent Systems
    • Automated Reasoning
    • Deep Research
    • Prompt Engineering
    • Retrieval-Augmented Generation (RAG)
    • Knowledge Graphs
    • LLM frameworks (LangChain, LangGraph)
  • #System-design-development
    • LLMOps
    • MLOps
    • Cloud Computing – Amazon Web Services (AWS)
    • Continuous Integration / Continuous Delivery (CI/CD)
    • Containerization (Docker, Docker Compose)
    • Workflow Orchestration (Prefect)
    • Experiment Tracking (MLflow)
    • API Design & Microservices
  • #Deep-learning
    • Graph Neural Networks (GNN)
    • PyTorch
    • Scikit-learn
    • AutoML (H2O)
  • #Programming
    • Python
    • CUDA
    • SQL
  • #Data-science & analytics
    • Exploratory Data Analysis (EDA)
    • Feature Engineering
    • Data Visualization (Matplotlib, Plotly, Seaborn)
  • #Research & innovation
    • Scientific Writing & Publication
    • Proposal Writing
    • Experimental Design

Languages

  • English: Full professional proficiency
  • Turkish: Native