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Assistant Professor

Computer Science

3432 Science and Engineering Complex
 (205) 348-4235
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  • B.S., Engineering, Northwestern Polytechnical University, China, 2009
  • Ph.D., Engineering, University of Connecticut, 2015


Dr. Lina Pu is a Tenure-Track Assistant Professor in the Department of Computer Science at the University of Alabama (UA). Before joining UA, she was an Assistant Professor at the University of Southern Mississippi. She received her Ph.D. in Computer Science and Engineering from the University of Connecticut in 2015. Her lab focuses on research areas that include cybersecurity, network security, wireless and underwater networking, sustainable IoT, terrestrial/underwater edge computing, and deep learning-enabled wireless networking.​ To meet the ever-growing need of energy supply to numerous sensor nodes in IoT, energy harvesting is emerging as a promising alternative to traditional power grids and batteries. Through scavenging energy such as solar, RF, and biothermal energy from the surrounding environment, we expect sensors to run semi-perpetually without a battery replacement. Dr. Pu’s research goals are to design and develop sustainable, efficient, and secure communication and computing techniques in the terrestrial/underwater edge computing paradigm.

Dr. Pu also works with the UA Cyber Institute (UACI) and UA Alabama Water Institute (AWI).

Honors and Awards

  • Best Student Paper Award, International Conference on Modeling, Identification and Control, 2019
  • Pre-doctoral Fellowship, University of Connecticut, 2015
  • Best Paper Award, IFIP Networking Conference, 2013

Areas of Research

Latest Publications

  • Yu Luo, and Lina Pu, “WUR-TS: semi-passive wake-up radio receiver based time synchronization method for energy harvesting wireless networks,” IEEE Transactions on Mobile Computing, (2021)
  • Yu Luo, Lina Pu, and Lei Lei, “Impact of varying radio power density on wireless communications of RF energy harvesting systems,” IEEE Transactions on Communications, (2020)
  • Yu Luo, and Lina Pu, “Practical issues of RF energy harvest and data transmission in renewable radio energy powered IoT,” IEEE Transactions on Sustainable Computing, (2020)
  • Dmitrii Dugaev, Zheng Peng, Yu Luo, and Lina Pu, “Reinforcement-learning based dynamic transmission range adjustment in medium access control for underwater wireless sensor networks,” Electronics, (2020)
  • Yu Luo, Lina Pu, Zheng Peng, and Zhijie Shi, “RSS-based secret key generation in underwater acoustic networks: advantages, challenges and performance improvements,” IEEE Communications Magazine, (2016)