Member of the Signal Processing Group at the Institute of Telecommunications, TU Darmstadt
Office: S3|06 257
Sergey Sukhanov received his B.Sc. and M.Sc. degrees in Information and Communication Engineering in 2010 and 2014 from Saint-Petersburg State Electrotechnical University, Russia and TU Darmstadt, Germany respectively. In his master thesis “Data Fusion for Person Verification and Imbalanced Classes” he extended the Neyman-Pearson Support Vector Machines framework by incorporating preknowledge about local temporary behavior of objects and addressed class imbalance problem by proposing a variation of bagging-based technique.
In April 2016, Sergey joined Signal Processing Group and commenced work on his Ph.D.
Sergey's research interests cover various areas of machine learning and data analysis. He is especially interested in ensemble methods in classification and clustering scenarios. Currently, he is working on the topic of consensus clustering for large-scale datasets.