caitaozhan

Hello World! My name is Caitao Zhan, a Postdoc at the Data Science and Learning Division at Argonne National Lab supervised by Raj Kettimuthu. I now work on quantum networking/computing/sensing. Previously, I was a Ph.D. candidate at the WINGS lab, Computer Science Department, Stony Brook University, advised by Prof. Himanshu Gupta. Here is my Google Scholar profile, and here is my ResearchGate profile. My contact is czhan[AT]anl.gov. My Resume.

During my Ph.D., my research is in both classical computing and quantum computing. 1) For the classical part, I do wireless networks (spectrum sensing and transmitter localization) and datacenter networks. I apply various machine learning and deep learning techniques to the computer networks field to improve performance. 2) For the quantum part, I do quantum communication networks, and quantum sensor networks. Quantum will bring revolutionary changes and innovations to the computing field in the future.

News:

Preprint:

Xiaojie Fan, Caitao Zhan, Himanshu Gupta, CR Ramakrishnan, Optimized Distribution of Entanglement Graph States in Quantum Networks, arXiv

Publications:

Caitao Zhan, Himanshu Gupta, Mark Hillery, Optimizing Initial State of Detector Sensors in Quantum Sensor Networks, ACM TQC 2024, PDF, arXiv

Mohammad Ghaderibaneh, Caitao Zhan, Himanshu Gupta, DeepAlloc: Deep learning Approach to Spectrum Allocation in Shared Spectrum Systems, IEEE Access 2024, PDF, arXiv

Caitao Zhan, Himanshu gupta, Quantum Sensor Network Algorithms for Transmitter Localization, IEEE QCE 2023, PDF, arXiv, Presentation

Mark Hillery, Himanshu Gupta, Caitao Zhan, Discrete Outcome Quantum Sensor Networks, Physical Review A (PRA) 2023, PDF, arXiv, Presentation, BibTex

Mohammad Ghaderibaneh, Caitao Zhan, Himanshu Gupta, CR Ramakrishnan, Efficient Quantum Network Communication using Optimized Entanglement-Swapping Trees, IEEE Transactions on Quantum Engineering 2022, PDF, arXiv, BibTex

Caitao Zhan, Mohammad Ghaderibaneh, Pranjal Sahu, Himanshu Gupta, DeepMTL Pro: Deep Learning Based Multiple Transmitter Localization and Power Estimation, Elsevier Pervasive and Mobile Computing 2022, PDF, arXiv, Presentation, BibTex

Arani Bhattacharya, Caitao Zhan, Abhishek Maji, Himanshu Gupta, Samir R. Das, Petar M. Djuric, Selection of Sensors for Efficient Transmitter Localization, IEEE/ACM Transactions on Networking 2021. PDF

Caitao Zhan, Mohammad Ghaderibane, Pranjal Sahu, Himanshu Gupta. DeepMTL: Deep Learning Based Multiple Transmitter Localization, IEEE WoWMoM 2021. PDF, Presentation BibTex

Himanshu Gupta, Max Curran, Caitao Zhan. Near-Optimal Multihop Scheduling in General Circuit-Switched Networks, ACM CoNEXT 2020. PDF, Presentation

Caitao Zhan, Himanshu Gupta, Arani Bhattacharya, Mohammad Ghaderibaneh. Efficient Localization of Multiple Intruders for Shared Spectrum System, ACM/IEEE IPSN 2020. PDF, Presentation, BibTeX

Arani Bhattacharya, Caitao Zhan, Himanshu Gupta, Samir R. Das, Petar M. Djuric. Selection of Sensors for Efficient Transmitter Localization, IEEE INFOCOM 2020. PDF, Presentation

Caitao Zhan, Changhe Li. Shape Formation in Games: A Probability-Based Evolutionary Approach, CIS 2016. PDF

Academic Services:

Artifact Evaluation Committee of ACM MobiCom 2023
Shadow Program Committee of ACM SenSys 2022
Reviewer of Elsevier The Journal of Networks and Computer Applications, Elsevier Pervasive and Mobile Computing, IEEE/ACM Transactions on Networking, IEEE Internet of Things Journal, IEEE Open Journal of the Communications

Miscellaneous:

My GitHub. Where I host my projects.
My LinkedIn. More about my experience.
My YouTube Channel. I am a vlogger since Dec. 2019. My Bilibili.
Advising Students for Success by Jeffrey Ullman. My advisor's advisor Jeffrey Ullman won the 2020 Turing award for the contributions to compilers. I asked my advisor what impact Jeff has on you and he sent me this article.
connecting-the-dots-by-caitao-zhan