Dr. Bonaventure Chidube Molokwu, Assistant Professor
Courses That I Teach
- CSC 219: Machine Learning
- CSC 215: Artificial Intelligence
- CSC 180: Advanced Artificial Intelligence
- CSC 131: Computer Software Engineering
- CSC 130: Data Structures and Algorithms
- CSC 028: Discrete Structures
Research Interests
My research investigates the frontier of Artificial Intelligence (AI) to solve complex, real-world challenges in strategic decision-making and data-driven scenarios. Operating at the intersection of Natural Language Processing, Social Network Analysis, and Pattern Recognition; my lab develops robust Machine Learning and efficient Deep Learning architectures engineered to parse large-scale, heterogeneous data.
Currently, our work and research interests include Event-based Analytics, Machine Translation, Trend and Pattern Discovery, Multilayer Network Modeling, Opinion Mining, Explainable and Responsible AI.
My overarching goal is to bridge foundational computing theory with tangible societal impact. I actively welcome collaborative funding partnerships and motivated graduate students eager to push the boundaries of Data Science and build the next generation of intelligent AI systems.
| Selected List of Research Recognitions | ||
|---|---|---|
| Awards | Year | Venue |
| Best Industrial Paper Candidate | 2025 | 21st International Conference on Web Information Systems and Technologies (WEBIST) |
| Best Poster Honorable Mention | 2025 | 21st International Conference on Web Information Systems and Technologies (WEBIST) |
| Postgraduate Affiliate Award | 2021 | Vector Institute for Artificial Intelligence |
| Best Paper Award | 2020 | 32nd International Conference on Scientific and Statistical Database Management (SSDBM) |
Professional Associations
- Institute of Electrical and Electronics Engineers (IEEE)
- Association for Computing Machinery (ACM)
- Canadian Artificial Intelligence Association (CAIAC)
- European Association for Programming Languages and Systems (EAPLS)
- International Association of Computer Science and Information Technology (IACSIT)
Education
- Ph.D.CGPA: 92.50%: University of Windsor, Ontario, Canada.
- M.Sc.CGPA: 88.00%: University of Nigeria, Enugu State, Nigeria.
- B.Sc.CGPA: 2:1: University of Benin, Edo State, Nigeria.
- Certified Internet Professional – Web Development (BCIP)
- Certified PHP: Hypertext Preprocessor 5 Programmer
- Certified C++ Programmer
- Certified HTML 4.0 Programmer
- Certified JavaScript-JQuery Programmer
- University Teaching Certificate (UTC)
- Certificate - Teaching in a Blackboard Learning Environment (TBLE)
- Certificate - Instructional Skills Workshop (ISW)
- Certificate - Bias in Peer Review