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, hardware-software co-design, LLM systems, cloud virtualization, resource management and system visualization.

His research has been supported by National Science Foundation, Google, NVIDIA, Microsoft, VentureWell 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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Aug 20, 2026 Two papers about Neutral-Atom Compilation and CUDA-Q based circuit cutting and scheduling were accepted to The 44th IEEE International Conference on Computer Design (ICCD’26). See you in Hong Kong.
Aug 07, 2026 One paper about Robustness of Hybrid Classical-Quantum Transfer Learning was accepted to the ACM Transactions on Quantum Computing.
Jul 09, 2026 One paper on Low-Latency Decoding of Quantum Error Correction (Link) was accepted by the APS Journals Physical Review Research (APS PRR).
Jul 07, 2026 One paper on Resource-Efficient Quantum Search has been accepted by The IEEE Quantum Week 2026 (QCE’26). See you in Toronto, Canada.
Jul 01, 2026 Our first quantum chemistry paper on Geometry-Aware Potential Energy Surface Scan has been accepted by The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC 2026). See you in Chicago, IL.