Akira Adeniran-Lowe
Autonomous Systems Student
I am currently an Honour Track MSc. student in Autonomous Systems at the Technical University of Denmark (DTU) , specializing in 3D computer vision and robust perception for autonomous agents. My research focuses on developing methods for 3D scene understanding under distribution shift, with particular emphasis on domain adaptation, continual learning, and learning from partial, real-world sensory data.
Publications
Concept Drift Under Harsh Constraints: A Review of Potential Strategies for IoT Systems
Ask Espensønn Øren, Nina Kuna Peuker, Akira Adeniran-Lowe, Sarah Ruepp, Martin Nordal Petersen
IEEE Access 2025
Education
MSc. Autonomous Systems
Technical University of Denmark
Thesis
- •Aligned Feature Learning for Semantic Segmentation on Partial Point Clouds”
Honours & Awards
- •Selected for DTU's Honours Programme (competitive research track)
BSc. General Engineering - Cyber Systems
Technical University of Denmark
Thesis
- •Anti-Deepfake Methods for Multimodal Technologies
Teaching Experience
Professional Experience
Falck Digital Technology DK A/S
Copenhagen, Denmark
Dec 2023 - Present
Data & Analytics Student Assistant
- •Developing Python / Power BI based applications for financial operations
- •Assisting the Head of Data Engineering in project management and strategic initiatives
- •Access management for Onboarding and Offboarding of employees within the department
DTU Compute
Lyngby, Denmark
Oct 2023 - Mar 2024
Research Assistant
- •Designed and implemented a synchronization system using ESP32 and C to integrate IoT with computervision and sensor data for kayak training.
- •Extended data synchronization using LoRa communication for long-range performance and evaluatedsystem accuracy and clock drift tolerance.
Fujifilm Diosynth Biotechnologies
Hillerød, Denmark
Jun 2022 - Nov 2023
IT Project Management Student Assistant
- •Streamlined workflows using Excel VBA and Alteryx, improving data processing and reporting.
- •Developed Smartsheet systems for portfolio management and created Tableau dashboards for data visualization.
- •Ensured alignment between technical solutions and business requirements in IT projects.