Hi, I am Jielun (Jerren) Zhang. I have received PhD degree in Electrical and Computer Engineering from the Department of Electrical and Computer Engineering at the University of Dayton. My PhD advisor is Dr. Feng Ye. My research interests include AI in networking analystics, network security, and cybersecurity.
Education
Ph.D. in Electrical Engineering
University of Dayton
- Current cumulative GPA: 4.0
- Dissertation: Sustaining the Performance of Artificial Intelligence in Networking Analytics
- Advanced Communications Network and Security (ACNS) Lab
M.S. in Electrical Engineering
University of Dayton
- Cumulative GPA: 4.0
- Thesis (Advised by Dr. Feng Ye): Application-Aware Traffic Prediction and User-Aware Quality-of-Experience Measurement in Smart Network
- Advanced Communications Network and Security (ACNS) Lab
B.S. in Electronic and Computer Engineering Technology
University of Dayton
- Honors: Summa Cum Laude
- Cumulative GPA: 3.95
- Named to dean’s list: Fall 2015, Spring 2016
B.S. in Electrical Engineering
Shanghai Normal University
Honors and Awards
Graduate Student Summer Fellowship (GSSF 2021)
Granted proposal - Sustaining the Intelligence of AI-based Network Traffic Classifiers
Graduate Student Summer Fellowship (GSSF 2019)
Granted proposal - A Learning-based Framework for Packet Classification and Network Traffic Flow Clustering in SDN Access Gateways
Graduate Student Summer Fellowship (GSSF 2018)
Granted proposal - Establish Reliable and Energy Efficient Public Safety Communication Networks using Future Smart Infrastructure
Recent Publications
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(2022).
Sustaining the High Performance of AI-Based Network Traffic Classification Models.
IEEE/ACM Transactions on Networking.
(2022).
Network traffic clustering with QoS-awareness.
IEEE/CIC China Communications.
(2021).
Improvement on a Traffic Data Generator for Networking AI Algorithm Development.
IEEE GLOBECOM 2021.
(2021).
A Machine Learning Approach to Modulation Detection in Wireless Communications.
IEEE NAECON 2021.
(2021).
A Real Application Enabled Traffic Generator for Networking AI Model Development.
IEEE ICC 2021.
(2020).
Autonomous Unknown-Application Filtering and Labeling for DL-based Traffic Classifier Update.
IEEE INFOCOM 2020.
(2020).
Intelligent and Application-Aware Network Traffic Prediction in Smart Access Gateways.
IEEE Network.
(2020).
Autonomous Model Update Scheme for Deep Learning Based Network Traffic Classifiers.
IEEE GLOBECOM 2019.
Interests
Artificial Intelligence
Exploring state-of-the-art Machine/Deep Learning models
Electronics
Raspberry Pi/Arduino projects
Solar Projects
Built 1.2kW solar panel array w/ 12kWh battery storage
Skiing
Handle black (diamond) slopes moderately
Photography
Capture every little moments in my life
Traveling
Traveled to 12 countries/regions
Contact Me
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