Kerem Delikoyun

I'm a Research Fellow and Team Lead at TUMCREATE in Singapore, specializing in AI for healthcare and clinical decision support. Over the past 5+ years, I’ve built patented and production-grade AI systems on cloud-native platforms, and I hold my Doctor of Engineering (Dr.-Ing.) degree in Electrical and Computer Engineering from the Technical University of Munich (TUM) in Germany. I'm passionate about building intelligent systems that uncover the mysteries of life, bridging scientific discoveries with real-world impact. My work lies at the intersection of healthcare, computer vision and Gen AI, developing advanced computer vision pipelines for real-time, high-throughput medical imaging, and combining analytical AI with agentic AI to reveal hidden data patterns through multi-agent reasoning and automated grounding. I've published in high-impact journals and conferences and hold several issued and pending patents in computer vision, agentic AI, and biomedical imaging. Beyond research, I'm deeply motivated by the entrepreneurial and economic potential of AI and fascinated by how it will transform our world and society in the near future.

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News

Jan 2026 Kerem was appointed as Research Fellow and Team Lead of CellFACE project at TUMCREATE.
Dec 2025 Kerem obtained his Doctor of Engineering (Dr.-Ing.) from Electrical and Computer Engineering at the Technical University of Munich (TUM).
Sep 2025 We secured SMART Innovation Grant for CellFACE to get our AI-powered real-time phase flow cytometer technology step closer to commercialization.
Aug 2025 After four years of hard work, we closed CellFACE project investigating the prognostic biomarkers for acute care triage.
Jun 2025 RT-HAM was accepted for Computer Vision for Science Workshop at CVPR 2025.
Mar 2025 We finished AITinkerers' TextArena Agent Hackathon first in place.
Mar 2025 Kerem gave a seminar on AI-powered real-time phase imaging flow cytometer at Biology@CREATE seminar.
Jan 2025 Kerem was appointed as research fellow and team lead of CellFACE project at TUMCREATE.
Jan 2025 Kerem's perspectives on trends and predictions for AI in 2025.
Apr 2023 Kerem obtained Masters of Science from Department of Physics at Technical University of Munich with the highest distinction.
Oct 2020 Kerem's collaborative microscope design received award in fourth place at national patent competition.
Jun 2020 Kerem gave a talk on applications of deep learning in life sciences.
Feb 2020 Kerem gave a seminar on deep learning for cellular analysis at GDG Izmir.
Oct 2019 Kerem received CBMS Travel Grant for MicroTAS 2019.
Jun 2015 Kerem graduated as salutatorian from Department of Engineering Physics at Gaziantep University.

Selected Publications

  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