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Research Faculty

Dilma Da Silva

  • Professor, Computer Science & Engineering
  • Ford Motor Company Design Professor II
  • Regents Professor
Dilma Da Silva

Tim Davis

  • Professor, Computer Science & Engineering
Tim Davis

Jeff Huang

  • Associate Professor, Computer Science & Engineering
Jeff Huang

Zbigniew Leyk

  • Professor of Practice, Computer Science & Engineering
Zbigniew Leyk

Dmitri Loguinov

  • Professor, Computer Science & Engineering
Dmitri Loguinov

Abdullah Muzahid

  • Associate Professor, Computer Science & Engineering
Abdullah Muzahid

Khanh Nguyen

  • Assistant Professor, Computer Science & Engineering
Khanh Nguyen

Lawrence Rauchwerger

  • Emeritus Professor, Computer Science & Engineering
Lawrence Rauchwerger

Vivek Sarin

  • Associate Professor, Computer Science & Engineering
  • Undergraduate Advisor
Vivek Sarin

Radu Stoleru

  • Professor, Computer Science & Engineering
Radu Stoleru

Shawna Thomas

  • Instructional Associate Professor, Computer Science & Engineering
  • Undergraduate Advisor
  • Office: PETR 319 | Advising: EABA 104
  • Phone: 979-862-8877
  • Email: sthomas@tamu.edu
Shawna Thomas

Courses Offered

CSCE 662. Distributed Processing Systems. Credits 3. 3 Lecture Hours
Principles and practices of distributed processing; protocols, remote procedure calls; file sharing; reliable system design; load balancing; distributed database systems; protection and security; implementation. 
Prerequisite: CSCE 313 and CSCE 463 or CSCE 612

CSCE 664. Wireless and Mobile Systems. Credits 3. 3 Lecture Hours
Wireless and mobile systems; wireless communication fundamentals; wireless medium access control design; transmission scheduling; network and transport protocols over wireless design, simulation and evaluation; wireless capacity; telecommunication systems; vehicular, adhoc, and sensor network systems; wireless security; mobile applications. 
Prerequisite: CSCE 463 or CSCE 464 or approval of instructor

CSCE 668. Distributed Algorithms and Systems. Credits 3. 3 Lecture Hours
Introduction to fundamental algorithmic results in distributed computing systems; leader election, mutual exclusion, consensus, logical time and causality, distributed snapshots, algorithmic fault tolerance, shared memory, clock synchronization. 
Prerequisite: CSCE 411 or equivalent or approval of instructor