Ruobin Qi
Assistant Professor, Department of Computer Science
California State University, Northridge
Email: ruobin.qi@csun.edu
Github | LinkedIn | Google Scholar
Education
- Ph.D. in Computer Science, New Mexico Tech, 2024
Dissertation: Data Driven Methods for Electricity Theft Detection in Advanced Metering Infrastructure
Advisor: Dr. Jun Zheng
- M.S. in Computer Science, New Mexico Tech, 2021
Thesis: Detecting Cyber Attacks in Smart Grids with Semi-Supervised Outlier Detection and Deep Feature Extraction
Advisor: Dr. Jun Zheng
- M.S. in Petroleum Engineering, New Mexico Tech, 2018
- B.S. in Petroleum Engineering, Chongqing University of Science and Technology, 2016
Academic Appointments
- Assistant Professor, Department of Computer Science, California State University, Northridge
August 2024 - Present
- Graduate Research Assistant, Department of Computer Science and Engineering, New Mexico Tech
August 2018 - May 2024
Conducting research on machine learning, deep learning, unsupervised learning, and cybersecurity applications.
Teaching Experience
- Instructor, California State University, Northridge
2024 - Present
Courses:
- • Programming for Data Science and Analytics
- • Data Mining
- Graduate Mentor, New Mexico EPSCoR
Summer 2020-2023
- Instructor, REU Cybersecurity Mini-Course, New Mexico Tech
May 2023
- Graduate Teaching Assistant, New Mexico Tech
Jan 2019 - Dec 2023
Research Interests
- Machine Learning and Deep Learning
- Unsupervised Learning and Outlier Detection
- Time Series Data Analysis
- Cybersecurity Applications of AI
Publications
- Ruobin Qi, Qingqing Li, Zhirui Luo, Jun Zheng, and Sihua Shao,
"Deep semi-supervised electricity theft detection in AMI for sustainable and secure smart grids,"
\Sustainable Energy, Grids and Networks\, vol. 36, pp. 101219, 2022.
- Qingqing Li, Zhirui Luo, Ruobin Qi, and Jun Zheng.
"DeepTPA-Net: A Deep Triple Attention Network for sEMG-based Hand Gesture Recognition."
IEEE Access, vol. 11, pp. 96797–96807, 2023.
- Ruobin Qi, Jun Zheng, Zhirui Luo, and Qingqing Li,
"A novel unsupervised data-driven method for electricity theft detection in AMI using observer meters,"
IEEE Transactions on Instrumentation and Measurement, vol. 71, pp. 1–10, 2022, Art. no. 2513010.
- Ruobin Qi, Craig Rasband, Jun Zheng, and Raul Longoria,
"Detecting cyber attacks in smart grids using semi-supervised anomaly detection and deep representation learning,"
Information, vol. 12, no. 8, pp. 1-19, 2021, Art. no. 328.
- Qingqing Li, Zhirui Luo, Ruobin Qi, and Jun Zheng,
"Automatic searching of lightweight CNN architectures for edge-based driving fatigue detection using EEG signals,"
IEEE Transactions on Instrumentation and Measurement, vol. 73, pp. 1-11, 2024, Art no. 2519211.
- Zhirui Luo, Qingqing Li, Ruobin Qi, and Jun Zheng,
"Designing Channel Attention Fully Convolutional Networks with Neural Architecture Search for Customer Socio-Demographic Information Identification Using Smart Meter Data."
AI 6.1 (2025): 9.
- Jun Zheng, Ruobin Qi, John O'Connell, Jack White, Bhaskar Majumdar,
"A machine learning-based approach for process optimization in laser 3-D printing of high-performance Al-alloys,"
Accepted by 2025 TMS Annual Meeting & Exhibition.
- Ruobin Qi, Japp G Wynter, Stephen Pan, Jun Zheng, and Sihua Shao,
"Enhancing the Performance of Semi-supervised Electricity Theft Detection in Smart Grids with Feature Engineering and Ensemble Learning,"
In Proceedings of 2024 IEEE Kansas Power and Energy Conference (KPEC), Manhattan, KS, USA, 2024, pp. 1-6.
- Craig Rasband, Ruobin Qi, and Jun Zheng,
"Detecting cyber attacks and power system disturbances in smart grids with deep forest,"
In Proceedings of The 30th International Conference on Systems Engineering (ICSEng 2023), Aug. 22–24, 2023, Las Vegas, NV, pp. 146–155.
- Elijah Orozco, Ruobin Qi, and Jun Zheng,
"Feature engineering for semi-supervised electricity theft detection in AMI,"
In Proceedings of The 2023 IEEE Green Technologies Conference (GreenTech), April. 19-21, 2023, Denver, CO, pp. 128-133.
- Zhirui Luo, Ruobin Qi, Qingqing Li, Jun Zheng, and Sihua Shao,
"ABODE-Net: An attention-based deep learning model for non-invasive building occupancy detection using smart meter data,"
In Proceedings of The 7th International Conference on Smart Computing and Communication (SmartCom 2022), Nov. 18–20, 2022, Virtual Conference, pp. 152-164.
(Best Student Paper Award)
- Ruobin Qi, Craig Rasband, Jun Zheng, and Raul Longoria,
"Semi-supervised outlier detection and deep feature extraction for detecting cyber-attacks in smart grids using PMU data,"
In Proceedings of The 17th International Conference on Information Technology: New Generations (ITNG 2020), Apr. 5-8, 2020, Virtual Conference, pp. 509-515.
Grants & Awards
- Patrick Orr Memorial Award, Department of Computer Science & Engineering, New Mexico Tech, 2023
Professional Service & Leadership
Reviewer,
- IEEE Transaction on Smart Grid
- IEEE Transactions on Instrumentation and Measurement
- IEEE Transactions on Industrial Informatics
- IEEE Transactions on Consumer Electronics
- Computers and Electrical Engineering
- Electrical Engineering
- Electronic Letters
- The Journal of Supercomputing
- International Journal of Computational Intelligence Systems
- Journal of Medical Systems
- IET Networks
- IET Generation, Transmission & Distribution
- Sustainability
- Applied Sciences
- Electronics
- IEEE Wireless Communications and Networking Conference (WCNC), 2023
- International Conference on Knowledge Science, Engineering and Management (KSEM), 2023
Skills
- Programming: Python, Java, C, R
- Tools: PyTorch, Scikit-learn, Git, Latex