News, Posts, and Activity History

Research Opportunities ...

Opportunity for MS/PhD study with a full scholarship is available at the Department of Electrical and Computer Engineering, College of Science and Engineering, Idaho State University, Idaho Falls, ID, USA. Research directions include (but not limited to): IoT Security and Privacy; Privacy-Preserving Machine Learning; Smart Health Care Security and Privacy; and 6G Communications. Requirements include: (1) Master's degree in Computer Science, Computer Engineering, Applied Math or a related discipline; (2) High GPA; (3) Good programming and mathematical analysis/optimization skills; and (4) Good TOEFL/IELTS and GRE scores (given the candidate has already taken the tests).

Interested students, please send your CV, transcript(s), and your English proficiency scores to:

Potential candidate(s) will be contacted for an interview over Zoom, particularly for verifying domain knowledge in the undergraduate project and/or Masters thesis, and programming skills.

Note: Applicants not fulfilling the aforementioned requirements will be deemed not serious, and will not be responded to.


Nov. 2021:

Oct. 2021:

  • Paper accepted: IEEE Access [Q2, IF: 3.367], LiHEA: Migrating EEG Analytics to Ultra-Edge IoT Devices with Logic-in-Headbands”.

  • Paper accepted: IEEE IoTaIS 2021, “On Energy-Efficient UAV Route Scheduling to Offload Health Data from Under-Served Rural Communities”.

  • Paper accepted: IEEE IoTaIS 2021, “An Explainable AI Model for Interpretable Lung Disease Classification”.

  • Paper accepted: IEEE IoTaIS 2021, “A Systematic Comparison of Traditional and Hybrid AI Models for NHANES Big Data Analytics”.

  • Paper accepted: IEEE IoTaIS 2021, “A Circuit-Embedded Reservoir Computer for Smart Noise Reduction of MCG Signals”.

Sept. 2021:

Aug. 2021:

  • Paper accepted: IEEE GLOBECOM 2021, Improved UCB-based Energy-Efficient Channel Selection in Hybrid-Band Wireless Communication”.

Jul. 2021:

  • Paper accepted: IEEE MeditCom 2021, “Asynchronous Federated Learning-based ECG Analysis for Arrhythmia Detection”.

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Jul. 2019:

  • Associate Editor: IEEE Access (Impact Factor: 3.745), 3 year-term.