About
Dr. Sajal Saha is an Assistant Professor in the Department of Computer Science at Brock University. He is the founder of the Intelligent Network Forecasting, Observation, and Risk Mitigation (INFORM) Lab, where he leads research on cybersecurity, Internet traffic forecasting, and anomaly detection.
Before joining Brock, Dr. Saha held academic and research positions at the University of Northern British Columbia (UNBC), Western University, and Seneca College. His work spans AI-driven security systems, privacy-preserving machine learning, and next-generation network intelligence for 6G environments.
Dr. Saha is committed to Equity, Diversity, and Inclusion in his research group, and actively encourages applications from underrepresented communities in STEM.
Research Areas
Internet Traffic Forecasting
ML and LLM-based forecasting models for network traffic classification, anomaly detection, and proactive network management. Includes transfer learning and wavelet-based approaches for small ISP networks.
Cyber-Attack Detection & Mitigation
AI-driven real-time cyber-threat prediction including DDoS detection, RAG-based incident response, and explainable AI for transparent security decision-making.
Federated Learning & Privacy
Privacy-preserving anomaly detection using federated learning, differential privacy, and blockchain-based aggregation for resilient distributed security systems.
AI for Wireless & IoT Networks
Deep learning for spectrum sensing, anomaly forecasting, and end-to-end IoT security frameworks leveraging LLMs in next-generation 6G networks.
Large Language Models for Security
Fine-tuning and deploying domain-specific LLMs for cyberattack mitigation, network intrusion response, and privacy-preserving cross-silo applications.
Network Intrusion Detection
Ensemble deep learning frameworks (ENIDS), adversarially resilient ML models, and explainable AI for robust network intrusion detection in mobile and IoT environments.
Publications
Teaching
Awards & Distinctions
Prospective Students
The INFORM Lab at Brock University welcomes highly motivated undergraduate, MSc, and prospective PhD students passionate about cybersecurity, Internet traffic forecasting, federated learning, and AI-driven security systems.
What We Look For
- Strong background in CS, ML, or cybersecurity
- Excellent Python / deep learning skills
- Research curiosity and long-term commitment
- Network/AI security experience (a plus)
Current Opportunities
- MSc Research Positions
- Undergraduate Research Assistants
- Mitacs Globalink / Accelerate Internships
Supervision Philosophy
- Mentorship-focused, research-independent
- Strong technical foundations
- Ethical AI practices
- Interdisciplinary collaboration
EDI Commitment
- Inclusive and welcoming environment
- Aligned with Tri-Agency EDI Statement
- Underrepresented groups actively encouraged
How to Apply
Email with subject line Prospective Student – INFORM Lab and attach your CV, unofficial transcripts, a 1-page research statement, and any publications or GitHub links.
Contact
Office
Brock University
1812 Sir Isaac Brock Way
St. Catharines, ON L2S 3A1