• Hierarchical Detection Network

    Multi-object detection
  • Progressive Data Transmission

    Cloud Computing
  • Location Registration and Recognition

    Aligning CT nodule neighborhoods
  • Likelihood Ratio Vesselness

    Retinal Vessel Extraction
Michal Sofka  
Michal Sofka Range Data

Michal Sofka is a Team Leader at 4Catalyzer.
Between 2013 and 2015, he was a Sr. Technical Leader in Cisco's Security Business Group. His research focused on large scale machine learning for threat defense.
Prior to Cisco, Michal was a research scientist and R&D manager at Siemens Corporation, Corporate Research (SCCT), Princeton, NJ. Michal did his undergraduate work at the Czech Technical University. He received the MS degree in Electrical Engineering from Union College in 2001. He received the MS and PhD degrees in Computer Science from the Rensselaer Polytechnic Institute (RPI) in 2006 and 2008, respectively.

Learning detectors of malicious network traffic. Multiple Instance Learning using weakly labeled data and new robust representation.

Detection and Measurement (TMI 2014)
Tubular Structure Detection (IPMI 2013)
IntellEditS editing (MICCAI 2013)
Progressive Data Transmission (MIM 2012)

9/18/2015 Two papers presented at ECML 2015 on learning detectors of malicious network traffic. Publications online.
8/10/2015 Two papers on learning detectors of malicious traffic accepted to ECML 2015.
2/15/2014 2013 Johnson & Johnson Supplier Enabled Innovation Award.
2/15/2014 Multi-object detection paper accepted to TMI.
11/17/2013 Personalized prosthetics article in Pictures of the Future magazine.

Copyright 2015 Michal Sofka