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Microsoft
Sunnyvale, CA
June 7, 2017
NECSTLab @ a Glance
Marco D. Santambrogio
<marco.santambrogio@polimi.it>
Politecnico di Milano
NECSTLab in Numbers
 Professors
• Full: 4
• Associate: 8
• Assistant: 6
 Thesis works: 25-35/year (70 students)
 Class Projects: 80-100/year (150 students)
 Post-Doc: 3
 PhD Studenst: 14
 Research Assistants: 9
2
3
4
5
Information Technology Panorama
6
Robotics
&& AI
Computer
Architecture
Cloud
Security &&
Reliable
Systems
Software
Engineering
Compilers
Data Base
Human
Computer
Interaction
Embedded
Systems
&& IoT
Operating
Systems
Data
Analysis
NECSTLab: Research Focus
7
Robotics
&& AI
Computer
Architecture
Cloud
Security &&
Reliable
Systems
Software
Engineering
Compilers
Data Base
Human
Computer
Interaction
Embedded
Systems
&& IoT
Operating
Systems
Data
Analysis
8
Robotics
&& AI
Computer
Architecture
Cloud
Security &&
Reliable
Systems
Software
Engineering
Compilers
Data Base
Human
Computer
Interaction
Operating
Systems
Data
Analysis
Embedded
Systems
&& IoT
Computer Architecture && System Security
• Malware analysis
– Static and dynamic analysis for bridging the semantic gap
– Malware naming conventions are ineffective
• Bank fraud detection
– Anomaly detection
– User profiling
• Cyber-physical systems security
– Security analysis of industrial robots control
• Web security
– Large-scale security measurements of popular web services
deployed in the real world
– Security of social networks
System Security
Research Lines
Prof. Stefano Zanero
stefano.zanero@polimi.it
9
• DReAMS
– To discover the world of FPGA-based systems
– Design and implementation of reconfigurable computing: from architectural
aspect to CAD development
– How to use CS to “speedup/improve” biomed applications
• ORCA
– Unleashed computer architecture and operating systems
– From embedded to HPC computing systems, focusing on computer
architectures, OS and monitoring infrastructures.
• STeEL
– To make smart ambient coming true!
– On how to make heterogeneous components to coexist to improve quality of life
and comfort while minimizing power and energy consumption
– Emotional and Physical Comfort
– Biometric Human recognition
10
DReAMS
Computer Architecture
Research Lines
Malware Analysis
Ransomware
Banking Trojans
Behavioral analysis
Forensics
MALWARE
ANALASIS
Reconfigurable Computing
FPGA based systems
exascale computing infrastructure
CAD tools
Physical design
High-level analysis and PLs
DReAMS
Computer Architecture and OS
Computer Architecture
Heterogeneous systems
Autonomic computing
Operating systems
Runtime adaptation
Monitoring infrastructures
Smart Technologies
Easy Life
Energy Efficiency
Building Programming Interfaces
IoT and Wireless Sensors Networks
Emotional and Physical comfort
Phsycological models
Fitness tracker and smart watch
15
DReAMS
• ShieldFS: The Last Word in
Ransomware Resilient Filesystems,
Andrea Continella
• Self-adaptive container monitoring with performance-
aware Load-Shedding policies, Rolando Brondolin
• Exploit FPGA-based Systems from Data Science High
Level Languages, Luca Stornaiuolo
• Fast Algorithms for Quantized Convolutional Neural
Networks, Alessandro Pappalardo
MALWARE
ANALYSIS
DReAMS
DReAMS
Marco D. Santambrogio
<marco.santambrogio@polimi.it>
Politecnico di Milano
http://necst.it/
https://www.facebook.com/pg/NECSTLab
http://www.twitter.com/necstlaboratory

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NECST @ Microsoft

  • 1. Microsoft Sunnyvale, CA June 7, 2017 NECSTLab @ a Glance Marco D. Santambrogio <marco.santambrogio@polimi.it> Politecnico di Milano
  • 2. NECSTLab in Numbers  Professors • Full: 4 • Associate: 8 • Assistant: 6  Thesis works: 25-35/year (70 students)  Class Projects: 80-100/year (150 students)  Post-Doc: 3  PhD Studenst: 14  Research Assistants: 9 2
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  • 6. Information Technology Panorama 6 Robotics && AI Computer Architecture Cloud Security && Reliable Systems Software Engineering Compilers Data Base Human Computer Interaction Embedded Systems && IoT Operating Systems Data Analysis
  • 7. NECSTLab: Research Focus 7 Robotics && AI Computer Architecture Cloud Security && Reliable Systems Software Engineering Compilers Data Base Human Computer Interaction Embedded Systems && IoT Operating Systems Data Analysis
  • 8. 8 Robotics && AI Computer Architecture Cloud Security && Reliable Systems Software Engineering Compilers Data Base Human Computer Interaction Operating Systems Data Analysis Embedded Systems && IoT Computer Architecture && System Security
  • 9. • Malware analysis – Static and dynamic analysis for bridging the semantic gap – Malware naming conventions are ineffective • Bank fraud detection – Anomaly detection – User profiling • Cyber-physical systems security – Security analysis of industrial robots control • Web security – Large-scale security measurements of popular web services deployed in the real world – Security of social networks System Security Research Lines Prof. Stefano Zanero stefano.zanero@polimi.it 9
  • 10. • DReAMS – To discover the world of FPGA-based systems – Design and implementation of reconfigurable computing: from architectural aspect to CAD development – How to use CS to “speedup/improve” biomed applications • ORCA – Unleashed computer architecture and operating systems – From embedded to HPC computing systems, focusing on computer architectures, OS and monitoring infrastructures. • STeEL – To make smart ambient coming true! – On how to make heterogeneous components to coexist to improve quality of life and comfort while minimizing power and energy consumption – Emotional and Physical Comfort – Biometric Human recognition 10 DReAMS Computer Architecture Research Lines
  • 11. Malware Analysis Ransomware Banking Trojans Behavioral analysis Forensics MALWARE ANALASIS
  • 12. Reconfigurable Computing FPGA based systems exascale computing infrastructure CAD tools Physical design High-level analysis and PLs DReAMS
  • 13. Computer Architecture and OS Computer Architecture Heterogeneous systems Autonomic computing Operating systems Runtime adaptation Monitoring infrastructures
  • 14. Smart Technologies Easy Life Energy Efficiency Building Programming Interfaces IoT and Wireless Sensors Networks Emotional and Physical comfort Phsycological models Fitness tracker and smart watch
  • 15. 15 DReAMS • ShieldFS: The Last Word in Ransomware Resilient Filesystems, Andrea Continella • Self-adaptive container monitoring with performance- aware Load-Shedding policies, Rolando Brondolin • Exploit FPGA-based Systems from Data Science High Level Languages, Luca Stornaiuolo • Fast Algorithms for Quantized Convolutional Neural Networks, Alessandro Pappalardo MALWARE ANALYSIS DReAMS DReAMS
  • 16. Marco D. Santambrogio <marco.santambrogio@polimi.it> Politecnico di Milano http://necst.it/ https://www.facebook.com/pg/NECSTLab http://www.twitter.com/necstlaboratory