Research Areas: Computer Systems, Complexity, Biomolecular Networks

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RAHUL SIMHA Department of Computer Science The George Washington University Washington, DC 20052 [email protected] 202-994-7181 Research Areas: Computer Systems, Complexity, Biomolecular Networks

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Research Areas: Computer Systems, Complexity, Biomolecular Networks. RAHUL SIMHA Department of Computer Science The George Washington University Washington, DC 20052 [email protected] 202-994-7181. Motivation: Computer Security. What hackers do: - PowerPoint PPT Presentation

Transcript of Research Areas: Computer Systems, Complexity, Biomolecular Networks

Page 1: Research Areas: Computer Systems, Complexity, Biomolecular Networks

RAHUL SIMHADepartment of Computer Science

The George Washington UniversityWashington, DC 20052

[email protected]

Research Areas: Computer Systems, Complexity, Biomolecular Networks

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Motivation: Computer Security

What hackers do: Code understanding: to duplicate, steal ideas, prepare

attacks Code tampering: to circumvent checks, cause attacks Others: data tampering, authorization attacks, buffer-

overflowI can

understand the code

Now I can modify the

code

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Software Security/Protection

Computer security research Crypto, protocols, policy, intrusion detection Related areas: data mining, signal processing,

networking …

Our approach: How can compilers be used to protect software? Exploit reconfigurable (FPGA) hardware Tools to manage security/performance tradeoff. Collaboration with: Bhagi Narahari (CS)

Secure compiler

Source code

Secure executable

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Biomolecular Networks

Hypoxia network 23 molecules (e.g., HIF, PH, VHL) Unusual effect: sharp response to oxygen Our goal: explain using

mathematical (ODE) models

Boolean network models: Gene-regulation network Explore fundamental properties

Collaboration with: Frank Turano (Bio), Chen Zeng (Physics)

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Other research interests

Complex Systems Phase transitions in complex systems How and why does complexity arise?

Embedded Systems Sensor networks, databases Energy consumption (low power applications)

Smart-home medical applications Patient monitoring Robotics for in-home care