My PhD and Research Journey

My Research ⚛️

My key research interests include quantum cloud computing deep reinforcement learning quantum machine learning quantum optimisation algorithms quantum and post-quantum security
Google ScholarORCIDGithubResearch Blog

For research inquiries, review invitations, or collaboration opportunities, please contact me at [email protected] or [email protected]

For all other inquiries, kindly reach out via my personal email: [email protected]

📄 Selected Publications

📔 Journal articles
  1. Hoa T. Nguyen, Muhammad Usman, and Rajkumar Buyya, QFaaS: A Serverless Function-as-a-Service Framework for Quantum Computing, Future Generation Computer Systems (FGCS), vol. 154. Elsevier BV, pp. 281–300, May 2024, ISSN 0167-739X, DOI: 10.1016/j.future.2024.01.018
  2. Hoa T. Nguyen, Muhammad Usman, and Rajkumar Buyya, “iQuantum: A toolkit for modeling and simulation of quantum computing environments”, Software: Practice and Experience, Wiley, 2024, ISSN: 1097-024X, 131. DOI: 10.1002/spe.3331
  3. Hoa T. Nguyen, Prabhakar Krishnan, Dilip Krishnaswamy, Muhammad Usman, and Rajkumar Buyya, Quantum Cloud Computing: A Review, Open Problems, and Future Directions“, arXiv: 2404.11420 (Under Review)
📚 Book chapters
  1. Hoa T. Nguyen, Muhammad Usman, and Rajkumar Buyya, “QSimPy: A Learning-centric Simulation Framework for Quantum Cloud Resource Management”, 2024, Quantum Computing – Principles and Paradigms, Elsevier (In Press)
  2. Hoa T. Nguyen, Bui Binh An Pham, Muhammad Usman, Rajkumar Buyya, “Quantum Serverless Paradigm and Application Development using the QFaaS Framework”, 2024, Quantum Computing – Principles and Paradigms, Elsevier (In Press)
🎙️ Conference papers
  1. Hoa T. Nguyen, Muhammad Usman, and Rajkumar Buyya, iQuantum: A Case for Modeling and Simulation of Quantum Computing Environments, Proceedings of the 2023 IEEE International Conference on Quantum Software (QSW 2023), Chicago, USA, July 2-8, 2023, DOI: 10.1109/QSW59989.2023.00013
  2. Hoa T. Nguyen, Muhammad Usman, and Rajkumar Buyya, “DRLQ: A Deep Reinforcement Learning-based Task Placement for Quantum Cloud Computing”, the 17th IEEE International Conference on Cloud Computing (CLOUD 2024), Shenzhen, China, July 7-13, 2024, DOI: 10.1109/CLOUD62652.2024.00060

📦 Open-source Software

🧑🏻‍🏫 Academic Service

📔 Journal Reviewer

I’m a reviewer of the following journals from 2022 until now:

  1. IEEE Internet of Things Journal (IoT-J)
  2. Future Generation Computer Systems (Elsevier)
  3. Wireless Networks (Springer)
  4. Software: Practice and Experience (Wiley)
  5. Performance Evaluation (Elsevier)
🎙️Conference Reviewer

I’m a reviewer and program committee member of the following conferences:

  1. International Conference on High-Performance Big Data and Intelligent Systems (HDIS , Dec 10-11, 2022, Tianjin, China) – Reviewer
  2. Annual Modeling and Simulation Conference (ANNSIM, May 26-29, 2025),
    Complutense University of Madrid, Spain – Technical Program Committee