Ying Mao

Fordham University, New York, NY.

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Dr. Ying Mao is a tenured Associate Professor in the Department of Computer and Information Science at Fordham University in New York City. Previously, he served as the Associate Chair for Undergraduate Studies. Currently, he is the Program Director for the Ph.D. in Computer Science in the department.

He received his Ph.D. in Computer Science from the University of Massachusetts Boston advised by Dr. Bo Sheng . Before that, he obtained the Master of Science in Electrical Engineering from the The State University of New York at Buffalo .

His research interests mainly focus on computing systems and applications, including quantum-based systems, quantum-classical co-optimizations, quantum hardware-software co-design, quantum learning systems, cloud virtualization, resource management and system visualization.

His research has been supported by National Science Foundation, Google, NVIDIA, Microsoft and etc. A list of publications can be found on his Google Scholar page.

New Icon Our team has Ph.D. openings with full financial supports. We are looking for self-motivated students to work on quantum-classical system designs, optimizations and applications. Please find our Ph.D. in Computer Science program from this link. You are encouraged to contact me through email if interested.

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May 11, 2026 One paper on Distributed Compilation for Multi-Chip Quantum Systems was accepted by the IEEE International Conference on Quantum Software (IEEE QSW 2026). See you in Sydney, Australia.
May 05, 2026 Shuwen will intern at NVIDIA in Summer 2026.
Mar 06, 2026 Our student-led team won the VentureWell E-Team Propel Award 2026 (link). With the funding support, we are developing and commercializing our Hybrid Quantum-Classical Workflow Optimization Platform.
Jan 23, 2026 One paper on Multi-target rydberg gates (Link) was accepted by the APS Journals Physical Review Research.
Jan 07, 2026 One paper on Adversarially robust quantum computer vision (Link) was accepted by the Springer Quantum Machine Intelligence.