Syed Rizvi

Syed Rizvi is a Lecturer at the CBL School of Management, actively engaged in interdisciplinary research spanning AI in healthcare, data mining, and machine learning. He holds a Doctorate in Computer Science from Beihang University (2017–2023), focusing on Point of Interest based Passenger Flow Estimation using Machine Learning.

• Affiliations: CBL School of Management, Principal Investigator in AI/Healthcare projects.
• Education: PhD in Computer Science, Beihang University (2017–2023).

Research Interests: Syed’s work emphasizes AI-driven solutions for healthcare challenges, including neurological disorder detection via Body Sensor Networks, mood analysis through chat data, and optimizing business strategies using passenger flow prediction. He also explores computational approaches to health policy implementation in developing countries.

Projects: Notable projects include the Indigenous AI-based MYO Electrode System for neurological disorders and smart business models using passenger data analytics.

• Awards: Fellow of Advance HE (2024).
• Grants/Activities: Led a 2021–2023 project on AI for disability detection in Pakistan. Engaged in invited talks, professional memberships (ACM, BCS), and journal peer-review.

Labs/Teams: Collaborates on interdisciplinary teams for AI healthcare systems and data-driven policy analysis.