CSC News

July 17, 2020

Rahman Receives COE Distinguished Dissertation Award

Brent Lancaster | College of Engineering News


Dr. Akond Rahman, an assistant professor in the Department of Computer Science at Tennessee Technological University and 2019 NC State Ph.D. graduate, has received the College of Engineering’s 2020 Distinguished Dissertation Award.


Rahman’s dissertation, “Anti-patterns in Infrastructure as Code,” dealt with infrastructure as code (IaC) scripts. IaC scripts are used to create and manage automated deployment pipelines that allow information technology organizations to continually deploy software changes to their customers. Rahman’s research worked to identify anti-patterns, or recurring practices with negative consequences, allowing developers to take informed actions in creating and maintaining scripts without the kinds of defects that can lead wide-spread system outages and service discrepancies.


As the College’s award winner, Rahman has been put forward to the University as a nominee for the Council of Graduate Schools/ProQuest Distinguished Dissertation Award.


A native of Bangladesh, Rahman earned an undergraduate degree at Bangladesh University of Engineering and Technology and a master’s at the University of Connecticut. At NC State, he was advised by Dr. Laurie Williams, Distinguished Professor in the Department of Computer Science.


Other nominees for the COE award were:

  • Dr. Vasudev Pralhad Haribal, a Ph.D. graduate from the Department of Chemical and Biomolecular Engineering – “Light Alkane Valorization using a Redox Approach”


  • Dr. Hui Guan, a Ph.D. graduate from the Department of Electrical and Computer Engineering – “Reuse-Centric Programming System Support of Machine Learning”


  • Dr. Nrup Balar, a Ph.D. graduate from the Department of Mechanical and Aerospace Engineering – “Thermomechanical Behavior of Semiconducting Polymers”


  • Dr. Aysenur Toptan, a Ph.D. graduate from the Department of Nuclear Engineering – “A Novel Approach to Improve Transient Fuel Performance Modeling in Multi-Physics Calculations”



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