CV
Assistant Professor and industry-experienced researcher specializing in computer vision, image reconstruction, and computational photography. Blend of academic rigor and real-world impact from roles at Aalborg University, Milestone Systems, Intel, and HSA Systems. Track record across super-resolution, low-light/thermal imaging, and multi-object detection. Comfortable operating end-to-end, from problem framing and dataset design to model development, deployment on embedded/GPU platforms, and teaching and mentoring students/engineers.
Core Strengths
- Computer Vision: Real-world super-resolution, low-light/thermal enhancement, object detection & segmentation, image formation modeling
- Deep Learning: Model design, training & evaluation; PyTorch, TensorFlow; distributed training, multi-task learning; transformers; Mixture-of-Experts
- Deployment & Systems: Real-time CV on embedded platforms (e.g., NVIDIA Jetson), GPU optimization, MLOps, CI/CD, unit testing
- Data & HPC: Dataset curation, annotation strategy, experiment tracking; DGX, Slurm, Singularity; Python scientific stack
- Leadership: Lab co-management, HPC governance, course design and teaching, supervision and mentoring
Experience
Research Consultant — Milestone Systems
Oct 2024 – Present
Bridging research and industry.
Assistant Professor, Visual Analysis & Perception Lab (VAP) — Aalborg University
Nov 2023 – Present
Teaching Deep Learning, Image Processing & Computer Vision, Machine Vision & Machine Learning, and MLOps; course design and examination. Supervision of BSc/MSc/PhD students and research assistants; co-lead research projects. Service & leadership: lab management; HPC governance board member (Pioneer Centre for AI, P1).
Research Assistant, VAP — Aalborg University
Jun 2023 – Nov 2023
Supported ongoing projects in computer vision; contributed to dataset design and benchmarking.
PhD Fellow (Milestone Research Programme), VAP — Aalborg University
May 2020 – May 2023
Focus: Image Super-Resolution for real-world applications; emphasis on surveillance imagery, low-light imaging, and task-aware SR.
Collaborations: IVRL at EPFL (Switzerland) and Milestone Systems (Denmark).
Software Developer & Deep-Learning Specialist — HSA Systems
Jul 2017 – Apr 2020
Project management and product development. Built real-time CV algorithms and drivers for machine-vision systems and delivered embedded implementations. Mentored interns; contributed to board bring-up and integration across STM32/ARM and Linux.
Student Software Developer — Intel Mobile Communications
2014 – 2017
Development of automated test automation software and frameworks for RF driver verification.
Earlier Roles
2016 – 2017
- Computer Vision Intern, HSA Systems (2016)
- Student Researcher, Aalborg University — Super-Resolution with CNNs (2016)
- Student Programmer, Aalborg University — SmartC2Net (2014)
- Automotive Technician, Uggerhøj Frederikshavn — engine management & CAN bus diagnostics (2001–2011)
Education & Training
- University Pedagogical Programme, Aalborg University — 2024
- PhD, Image Super-Resolution for Real-World Applications, Aalborg University — 2020–2023
- MSc, Vision, Graphics & Interactive Systems, Aalborg University — 2015–2017
- BSc, Computer Engineering (Communication Systems), Aalborg University — 2012–2015
- Bridging Course for Engineering Studies, Aalborg University — 2011–2012
- Automotive Technician, Autobranchens Udviklingscenter Frederikshavn — Earlier
Selected Publications
- WACV 2024: PDA-RWSR: Pixel-Wise Degradation Adaptive Real-World Super-Resolution
- SCIA 2023: RELIEF: Joint Low-Light Image Enhancement & Super-Resolution with Transformers
- IET IP 2022: Real-world super-resolution of face images from surveillance cameras
- NeurIPS 2021: RELLISUR: A Real Low-Light Image Super-Resolution Dataset
Teaching & Supervision
- Courses: Deep Learning; Image Processing & Computer Vision; Machine Vision & Machine Learning; MLOps
- Supervision: Industry interns, BSc/MSc/PhD students (2017–Present)
Service & Leadership
- Governance: Member, HPC Governance Board, Pioneer Centre for AI (P1)
- Lab: Member, VAP Lab Management, Aalborg University
Technical Toolbox
- Programming: Python, C/C++, Java, Bash
- ML/CV: PyTorch, TensorFlow, OpenCV, SciPy, NumPy, Pandas, Matplotlib
- HPC/DevOps: NVIDIA DGX, Slurm, Singularity, Jenkins, Git, CI/CD, unit tests
- Embedded/Linux: Jetson TX2, STM32/ARM, Embedded Linux, kernel drivers, device trees
- Other: Advanced Linux, Scrum/Agile, Matlab
Languages
Danish (fluent), English (fluent), German (basic)
References
Available upon request.