Opening: I am currently looking for highly self-motivated Ph.D. students who are strongly committed to research. The successful candidates are expected to conduct research in big data, cybersecurity, and smart applications in IoT. If you are interested, please send me your resume or CV, transcripts, TOEFL and GRE scores, as well as everything else that you believe will help your application in one email.

“Stuckness shouldn't be avoided. It's the psychic predecessor of all real understanding.” ― Robert Pirsig

About Me

I joined the Department of Computer and Information Sciences at Towson University as an assistant professor in August 2021. I completed my Ph.D. dissertation defense under the supervision of Prof. Pan Li in the Department of Electrical, Computer, and Systems Engineering at Case Western Reserve University in 2021. I received the B.E. degree in Electrical Engineering from Wuhan University, China, in 2013, and the M.E. degree in Electrical and Computer Engineering from Stevens Institute of Technology, Hoboken, NJ, in 2015, respectively. 

My research interests include robust and secure deep learning networks, cybersecurity, security and privacy in distributed and decentralized systems, e.g., Cyber-Physical System (CPS) and Internet of Things (IoT), and related applications, e.g., smart transportation, smart city, and smart healthcare.  

News!

(09.2023) Our paper "Blockchain-Empowered Federated Learning Through Model and Feature Calibration” has been accepted by the IEEE Internet of Things Journal!

(06.2023) My proposal "CRII: CNS: Secure Decentralized AI in Heterogeneous IoT Networks: Foundation and Application" has been awarded by the National Science Foundation’s CISE Research Initiation Initiative Grant (NSF CRII)!

(06.2023) Our paper "On Detecting Interest Flooding Attacks in Named Data Networking (NDN)–based IoT Searches" is accepted by AI, Machine Learning and Deep Learning: A Security Perspective!

(05.2023) Our paper "Survey of Distributed and Decentralized IoT Securities: Approaches Using Deep Learning and Blockchain Technology" is accepted by Future Internet 15, no. 5: 178!

(08.2022) Our paper "Energy-Efficient Computation Offloading in Mobile Edge Computing Systems With Uncertainties" is accepted by IEEE Transactions on Wireless Communications!

(07.2022) My proposal "Blockchain-Empowered Secure and Efficient Decentralized AI Systems" is funded by the Faculty Development & Research Committee (FDRC) from Towson University!

(06.2022) Our proposal "AI-Driven Cardiovascular Risk Estimation based on Family Health History and Physiological Data" gets funded by the Office of Sponsored Programs & Research (OSPR) from Towson University!

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Current Students:

Aaron Hooper (Ph.D.) 

Ayodeji Falayi (Ph.D.)

James Joseph (Ph.D.)

Mohammed Alzahrani (Ph.D.)

Tahmid Hannan (Master)

Alumni:

Hassan Ghandoura, M.S., Aug 2023, Towson University

Martin Pineda, M.S., May 2023, Towson University

Sachin Hebbar, M.S., May 2023, Towson University

Daphne McWilliams, M.S., May 2023, Towson University

Jash Jasani, M.S., Dec 2022, Towson University

Grants:

• PI: Qianlong Wang, “CRII: CNS: Secure Decentralized AI in Heterogeneous IoT Networks: Foundation and Application,” National Science Foundation’s CISE Research Initiation Initiative Grant (NSF CRII), 06/2023 – 05/2025. 

• PI: Qianlong Wang, Co-PIs: Weixian Liao and Jinjuan Feng, “Robust Distributed AI Systems and Smart Applications,” General Endowment Funds, Towson University, 10/2021 – 06/2023. 

• PI: Qianlong Wang, Co-PIs: Moinul Hossain and Ming Li, “AI-Driven Cardiovascular Risk Estimation based on Family Health History and Physiological Data,” Office of Sponsored Programs & Research (OSPR), Towson University, 06/2022 – 05/2023. 

• PI: Qianlong Wang, “Blockchain-Empowered Secure and Efficient Decentralized AI Systems,” Faculty Development& Research Committee (FDRC), Towson University, 07/2022 – 05/2023. 

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