Laboratory for Cyber Physical Networks and Systems (CyPhyNets)

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=== Formal Courses ===
=== Formal Courses ===
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* [[COMP-296]]. Computers for engineers [McGill. Winter 2008]
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* [http://www.cs.mcgill.ca/~abubakar/comp208_w08.htm COMP-208]. Computers for engineers [McGill. Winter 2008]
* [[Phy-102]]. Electricity and magnetism [LUMS. Autumn 2009]
* [[Phy-102]]. Electricity and magnetism [LUMS. Autumn 2009]
* [[CS-683]]. Information theory [LUMS. Winter 2009]
* [[CS-683]]. Information theory [LUMS. Winter 2009]
-
* [[BIO-103]]. Freshman biology (Module on Mathematical Biology) [LUMS. Winter 2009]
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* [[BIO-103]]. Freshman biology (Module on systems biology) [LUMS. Winter 2009]
=== Reading Groups ===
=== Reading Groups ===
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* Computational topology in science & engineering [McGill. Winter 2009]
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* [http://www.cs.mcgill.ca/~abubakar/comptop_w08.htm Computational topology in science & engineering] [McGill. Winter 2009]
* Feedback control systems [LUMS. Winter, Summer 2009]
* Feedback control systems [LUMS. Winter, Summer 2009]
* Advanced topics in information theory [LUMS. Winter 2009]
* Advanced topics in information theory [LUMS. Winter 2009]

Revision as of 14:48, 1 June 2009

CyPhyNets: Laboratory for Cyber Physical Networks and Systems.


School of Science & Engineering, SSE

Lahore University of Management Sciences LUMS

Lahore, Pakistan

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Contents

Group Members

Faculty

Postdoctoral researchers

Positions open.

Staff

Affiliates

  • Muhammad Ali, Consultant Engineer
  • Zubair Khalid, Research Assistant

Students

  • Zahaib Akhtar, CmpE Senior
  • Muhammad Ali Ahmed, CmpE Junior
  • Muhammad Ammar Hassan, SSE freshman

Former Members

  • Shahzad Bhatti, Lecturer in Mathematics, COMSATS Institute of Technology, Islamabad


Research

  • Complex networked systems to enable the deployment of very-large scale uniquitous instances of sensor networks, robotic swarms and mobile networking
  • Rapid information discovery in massive high-dimensional data sets in robotics, networks and other areas using geometrical and topological methods
  • Quantum information theory and quantum control for understanding the physics of information


Teaching

Formal Courses

  • COMP-208. Computers for engineers [McGill. Winter 2008]
  • Phy-102. Electricity and magnetism [LUMS. Autumn 2009]
  • CS-683. Information theory [LUMS. Winter 2009]
  • BIO-103. Freshman biology (Module on systems biology) [LUMS. Winter 2009]

Reading Groups


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