Michal Aibin
(he/him/his)
Visiting Associate Teaching Professor
Research interests
- Cognitive networking
- Machine learning
- Data analysis
Education
- PhD in Informatics, Wroclaw University of Science and Technology – Poland
- MS in Teleinformatics, Wroclaw University of Science and Technology – Poland
- BS in Teleinformatics, Wroclaw University of Science and Technology – Poland
Biography
Michal Aibin is a visiting associate teaching professor of computer science at the Khoury College of Computer Sciences at Northeastern University's Vancouver campus. Outside of his role at Northeastern, he is also a research faculty member at the British Columbia Institute of Technology. His research interests include the optimization of various processes using adaptive approaches, such as machine learning. His recent focus is on cognitive networking. In particular, data analytics, machine learning, and deep learning concepts applied to optical networks to enable cognitive network data analysis.
Aibin began his doctoral studies at the Department of Systems and Computer Networks at the Wroclaw University of Technology in 2012, where he was twice awarded the dean’s award and a scholarship awarded to the best doctoral students. He received his doctoral degree in June 2017 by defending his thesis: "Dynamic Routing Algorithms for Cloud-Ready Elastic Optical Networks." He currently upholds his first academic position in the Department of Computing at the British Columbia University of Technology in Vancouver, Canada, where he was awarded the Employee Excellence Award in the applied research category. He joined Northeastern University in 2020 as a part-time associate professor.
Recent publications
-
Lite2: A Schemaless Zero-Copy Serialization Format
Citation: Tianyi Chen, Xiaotong Guan, Shi Shuai, Cuiting Huang, Michal Aibin. (2024). Lite2: A Schemaless Zero-Copy Serialization Format Comput., 13, 89. https://doi.org/10.3390/computers13040089 -
Robust Client and Server State Synchronisation Framework For React Applications: react-state-sync
Citation: Viral Tagdiwala, Artik Bharoliya, Parth Patel, Dhwanil Shah, Michal Aibin. (2023). Robust Client and Server State Synchronisation Framework For React Applications: react-state-sync CCECE, 475-481. https://doi.org/10.1109/CCECE58730.2023.10289106 -
Medical Imaging RPA System Design
Citation: Zhenjie Zhou, Yiwu Chen, Fangyuan Huang, Yun Feng, Michal Aibin. (2023). Medical Imaging RPA System Design CCECE, 192-197. https://doi.org/10.1109/CCECE58730.2023.10289020 -
AI-based General Visual Inspection of Aircrafts Based on YOLOv5
Citation: John David Maunder, Jiesi Zhang, Jianming Lu, Tianyi Chen, Zach Hindley, Eric Saczuk, Michal Aibin. (2023). AI-based General Visual Inspection of Aircrafts Based on YOLOv5 CCECE, 55-59. https://doi.org/10.1109/CCECE58730.2023.10288696 -
Strata Fee Management in Condominiums via Smart Contracts
Citation: Liam Scholte, Rui Wang, Kwok K. Chung, Michal Aibin. (2023). Strata Fee Management in Condominiums via Smart Contracts J. Theor. Appl. Electron. Commer. Res., 18, 1157-1176. https://doi.org/10.3390/jtaer18030059 -
Study on High Availability and Fault Tolerance
Citation: Norman Kong Koon Kit, Michal Aibin. (2023). Study on High Availability and Fault Tolerance ICNC, 77-82. https://doi.org/10.1109/ICNC57223.2023.10074557 -
Real-Time Search and Rescue using Remotely Piloted Aircraft System with Frame Dropping
Citation: Rohan Sharma, Michal Aibin. (2023). Real-Time Search and Rescue using Remotely Piloted Aircraft System with Frame Dropping ICNC, 83-88. https://doi.org/10.1109/ICNC57223.2023.10074217 -
Emergency Surgical Scheduling Model Based on Moth-flame Optimization Algorithm
Citation: Cuiting Huang, Sicong Ye, Shi Shuai, Mengdi Wei, Yehong Zhou, Anna Aibin, Michal Aibin. (2023). Emergency Surgical Scheduling Model Based on Moth-flame Optimization Algorithm ICNC, 89-94. https://doi.org/10.1109/ICNC57223.2023.10074256 -
Ocean Medical Waste Detection for CPU-Based Underwater Remotely Operated Vehicles (ROVs)
Citation: Adrian Lee, Benny Jiang, Ingrid Zeng, Michal Aibin. (2022). Ocean Medical Waste Detection for CPU-Based Underwater Remotely Operated Vehicles (ROVs) UEMCON, 385-389. https://doi.org/10.1109/UEMCON54665.2022.9965708 -
Adaptive Mapping Algorithm for Spectrally-Spatially Flexible Optical Networks
Citation: Warisha Bilal, Ming Hsieh, Jeremy Liu, Angela Van, Michal Aibin. (2022). Adaptive Mapping Algorithm for Spectrally-Spatially Flexible Optical Networks CCECE, 423-428. https://doi.org/10.1109/CCECE49351.2022.9918304 -
Q-Learning Based Routing in Optical Networks
Citation: Nolen B. Bryant, Kwok K. Chung, Jie Feng, Sommer Harris, Kristine N. Umeh, Michal Aibin. (2022). Q-Learning Based Routing in Optical Networks CCECE, 419-422. https://doi.org/10.1109/CCECE49351.2022.9918273
