Yan Huo *94 Fellowship powers advances in machine learning, wireless communication and quantum technology

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Department of Electrical and Computer Engineering
Dec. 22, 2022

Three fourth-year graduate students in electrical and computer engineering received the annual Yan Huo *94 Graduate Fellowship, supporting their work in wireless communication devices, machine learning security and quantum technology.

The three fellows are:

Emir Ali Karahan, a fourth-year Ph.D. student advised by Kaushik Sengupta, works on the design of wireless devices operating in the critical millimeter-wave band of the spectrum and on AI assisted algorithmic design approaches for radio frequency and millimeter-wave circuits. Karahan was the co-recipient of the Advanced Practice Paper Award in IEEE International Microwave Symposium and qualified as a Qualcomm Innovation Fellowship Finalist in 2022. He received his BS from Bilkent University in Ankara, Turkey.

Mehmet Tuna Uysal, a fourth-year Ph.D. student advised by Jeff Thompson, studies solid-state impurities that can be harnessed for quantum-networking applications. In particular, he works on tailoring interactions between erbium-ion impurities and the surrounding environment to store information and perform quantum computational operations. He intends to use these techniques to demonstrate entanglement between erbium ions to enhance their capacity as potential quantum network nodes. Uysal earned his bachelor’s degree from Yale University.

Chong Xiang, a fourth-year Ph.D. student advised by Prateek Mittal, focuses on designing trustworthy machine learning systems. Chong has developed a series of techniques that provide provable security and robustness guarantees for computer-vision models, mitigating adversarial patch attacks, which can cause safety-critical systems to malfunction. Before joining Princeton, Chong earned his bachelor’s degree from Shanghai Jiao Tong University.