Dr. Christian Debes


I’m a lead data scientist at AGT International, one of the fastest growing organizations in the area of public safety and security with operations around the globe. My specialization is in the area of signal and image processing, specifically I’m interested in topics like data fusion, anomaly detection, learning and prediction. Besides working at AGT International I’m also a lecturer at Technische Universität Darmstadt, offering a course on “Imaging and Image Processing” which is designed for master students in information and communication engineering.

Before working at AGT International I was a research associate and later postdoctoral research fellow at the Signal Processing Group at TU Darmstadt. My PhD is on “Advances in detection and classification for Through-the-Wall Radar Imaging” (defended with summa cum laude in 2010) where I demonstrated how adaptive methods in signal and image processing can be used to detect and classify targets in radar images obtained from behind walls.

A full list of my publications with pdf downloads can be found here.

Technical achievements & recognitions

Area editor for IEEE Signal Processing Magazine, since 2014

1st place in 2013 IEEE Data Fusion ‘Best Classification Challenge’

2nd place in 2013 IEEE Data Fusion ‘Best Paper Challenge’

Elevation to IEEE Senior Member grade, 2013

Member of the Editorial Board of Digital Signal Processing since 2013

PhD with highest honor, 2010

Finalist in IEEE Best student paper award, 2009

Reviewer for

IEEE Transactions on Signal Processing

IEEE Transactions on Geoscience & Remote Sensing

Elsevier Signal Processing

Elsevier Digital Signal Processing

IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

IEEE International Conference on Image Processing (ICIP)

European Signal Processing Conference (Eusipco)

June 2015

Journal paper “Classification of Activities of Daily Living in Smart Homes” submitted at IEEE Signal Processing Magazine

May 2015

Conference paper “Bootstrap-based SVM Aggregation for Class Imbalance Problems” accepted at Eusipco

March 2015

Conference paper “Automatic Fusion and Classification using Random Forests and Features extracted with Deep Learning” accepted at IEEE IGARSS

January 2015

Journal paper “Many hands make light work - On Ensemble Learning Techniques for Data Fusion in Remote Sensing” accepted at IEEE Geoscience&Remote Sensing Magazine

July 2014

Conference paper “Automatic Fusion and Classification of Hyperspectral and LiDAR Data using Random Forests” published at IEEE IGARSS

June 2014

Journal paper “Ensemble Learning in Hyperspectral Image Classification: Towards Selecting a Favorable Bias-Variance Tradeoff” published at IEEE JSTARS

April 2014

Journal paper “Hyperspectral and LiDAR Data Fusion: Outcome of the 2013 GRSS Data Fusion Contest” published at IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

March 2014

Conference paper “Anomaly detection for dike monitoring using system identification” to appear at IEEE ICASSP

February 2014

Conference paper “Dike Monitoring: A Data-Driven Anomaly Detection Approach” submitted to EUSIPCO

January 2014

Conference paper “Automatic Fusion and Classification of Hyperspectral and LiDAR Data using Random Forests” submitted to IEEE IGARSS