The Team

The team is a powerhouse of academic brilliance and professional expertise, spearheaded by a trio of distinguished Ph.D. scholars, each bringing unparalleled knowledge and perspective to the project.

Project Leadership and Academic Expertise

Dr. Kazi Afaq Ahmed

Dr. Kazi Afaq Ahmed

Ph.D. Principal Investigator & Project Owner – InvestorRisk AI

Dr. Kazi Afaq Ahmed, Principal Investigator and Project Owner of InvestorRisk AI, is a seasoned academic, management consultant, and corporate leader with over 30 years of experience in Human Resources, Corporate Strategy, and Operations Management. He has successfully led multinational teams and high-impact projects across industries.
As a Professor at IoBM, Fellow at RASTA-PIDE, and HEC-approved PhD supervisor, Dr. Kazi has guided numerous scholars and secured multiple national research grants. His strategic leadership and project management expertise have been instrumental in developing InvestorRisk AI, an AI-powered platform designed to transform investment risk assessment through accessible, data-driven tools.
With a unique blend of academic depth and real-world operational insight, Dr. Kazi continues to drive innovation that bridges research with practical impact in the investment landscape.
Dr. Ambreen Fatima

Dr. Ambreen Fatima

Ph.D. Economics

An eminent economist with expertise in macroeconomic modeling and financial risk assessment, Dr. Ambreen Fatima provides strategic direction to integrate economic theories into the AI-driven risk analysis framework.
Dr. S. M. Khalid

Dr. S. M. Khalid

Ph.D. Computer Science (Financial Computing)

A leading authority in Financial Computing, Dr. S. M. Khalid specializes in Advanced Algorithm Development, AI Model Optimization, and Big Data Analytics
Since 2001, Dr. S. M. Khalid has been affiliated with the Higher Education Sector, contributing extensively to Research, Development, and Academics. With profound expertise in Finance and Computing, Dr. S. M. Khalid has been instrumental in equipping the team with the most advanced AI and ML methodologies, seamlessly integrating state-of-the-art innovations into the project.
Dr. Noor Alam

Dr. Noor Alam

Policy Advisor & Financial Consultant

Dr. Noor Alam brings over three decades of distinguished service in public finance to the Investor Risk AI Project. A retired civil servant and former Finance Secretary, Government of Sindh, he has held senior policy roles including Additional Chief Secretary and Senior Member of the Sindh Revenue Board. With a PhD in Public Finance and a specialization in Public Debt Management, Dr. Alam provided critical policy guidance and reviewed the development process from both financial and public policy perspectives. His insights ensured strategic alignment and analytical soundness. He currently teaches at the Institute of Business Management (IoBM) and continues to contribute to fiscal reform and research at national and provincial levels.
Dr. Fouzia

Dr. Fouzia

Ph.D. Economics

With expertise in energy economics and econometric modeling, Dr. Fouzia bridges academic insights with practical solutions for sustainable development, enhancing the project's analytical depth.
Mr. Kamran Rabbani

Mr. Kamran Rabbani

Senior Lecturer

Kamran Ahmed Rabbani, a seasoned banker and Senior Lecturer at IoBM, brings over two decades of expertise in SME financing and financial analysis. With an MBA in Finance and distinguished banking credentials, his deep understanding of credit evaluation, risk mitigation strategies, and financial structuring has ensured robust risk management frameworks for sustainable financial decision-making in Credit Risk section with the InvestorRisk-AI team

Supporting Experts

Research Analysts

Specialized in analyzing macroeconomic trends, financial datasets, and market behaviors, they provide data-driven insights essential for model accuracy.

AI/ML Specialists

Focused on developing and refining predictive models, they ensure analytical precision across various risk assessment applications.

Economists and Policy Advisors

They bridge the gap between theoretical models and practical applications, offering critical input on economic policies and market strategies.

Technical Developers

Tasked with creating interactive tools and dashboards, they facilitate real-time data visualization and seamless user interaction.

This diverse and multidisciplinary team collaborates to redefine investment risk analysis, combining deep academic rigor with practical expertise to drive innovation and deliver impactful solutions.