Control Science and Engineering Laboratory (CSEL)

Department of Mechanical Engineering, Texas Tech University


Welcome to CSEL at Texas Tech! The CSEL is a control science oriented, multidisciplinary lab created and led by Dr. Hui. The CSEL conducts several research areas in the fields of network sciences, dynamical systems, optimization and control theory, as well as control application engineering. Our goal is to foster the interplay and explore multidisciplinary research among dynamical systems, high performance computing, optimization and control theory, and numerical methods. The current research interests of CSEL include network robustness and vulnerability analysis, consensus, synchronization and control of network systems, network optimization, network interdependency and cascading failures, network threat detection, swarm optimization, hybrid systems, biomedical systems, software and hardware acceleration based control design, and high performance scientific computing.

New! Post-Doctoral Position: Dr. Hui's research group at TTU invites applications for a post-doctoral position beginning in the fall semester in 2014. The successful applicant will primarily work under a project about fast observation, estimation, and control of large-scale geographic physical networks. Research areas may include but not limited to the following thrust areas: 1) Exploitation of currently available sensor information to observe the large geographical scale multi-layer and multi-dependent network state under an adversarial attack so that observable data can be used as input for rapid real time network analysis. 2) Sub-second network computations to enable decisions concerning real-time minimization of network instability. 3) Novel graph theoretical methods to incorporate distributed real time assessment of the network to be controlled. 4) Optimal rapid and intelligent islanding or load shedding to limit the cascade affected area. 5) Fast transient stabilization of multimachine power networks via hybrid control techniques.

The position will include research, publishing, and some teaching related obligations. Strong mathematical background and skills are required. The appointment will be for one year initially, renewable up to two years contingent on performance. The position carries a competitive salary. Candidates who have completed a Ph.D. in control, optimization, computing, dynamical systems, or a closely related field are encouraged to apply. 

Review of applicants will begin immediately and will continue until the position is filled. Applicants should send a complete application package to The application should include a letter of interest describing how the position fits within their research vision and their quantitative and qualitative skills, three selected journal publications, a Curriculum Vita, and a list of references. Only references for short-listed candidates will be solicited. For additional information, applicants can contact Dr. Qing Hui (

New! PhD Positions: Multiple PhD positions are available in Dr. Hui's group at TTU in the spring semester of 2015. We are seeking highly motivated students who have a strong mathematical background and some programming experience. Perspective students are expected to work on the development of extremely rapid control strategies for mitigation of cascading failures on multi-layer and multi-dependent dynamic networks. The particular emphasis of this research will be given to power networks. Those who are interested in these positions can contact Dr. Hui for details and should apply at the TTU Gradudate School website.