Dr. Adnan Noor Mian is the Vice Chancellor of Information Technology University (ITU) and Chairholder of the UNESCO Chair for ICT for Development (ICTD). He earned his PhD in Computer Engineering from Sapienza University of Rome and has conducted postdoctoral research at Sapienza University and the University of Cambridge. His research focuses on IoT, wireless networks & application of emerging technologies to improve ICT accessibility in developing regions.

Dr. Mohsen Ali is an Associate Professor of Computer Science at Information Technology University (ITU), Lahore. He is the co-founder of the Intelligent Machines Lab and leads the Computer Vision Research Group. A Fulbright Scholar, he received his PhD from the University of Florida, with research interests in computer vision and machine learning, particularly deep learning applications in areas such as satellite imagery analysis and affective computing.

BRIEF INTRODUCTION

Prof. Dr. Shazia Iftikhar is a highly accomplished academic and researcher with over 20 years of teaching and research experience. Her expertise spans Environmental Microbiology, Mycology, Plant Pathology, Eco-toxicology, and Genetics. She holds a PhD and has completed Post-Doctoral research, reflecting her strong academic background.

 

She has successfully completed 8 national research projects and is currently working on 3 more, totaling 11 national projects, along with 3 completed and 1 ongoing international research projects. She has published 120 research papers, authored 4 HEC recognized books and 4 book chapters, and supervised 100 B.Sc./M.Sc., 35 M.Phil., and 8 Ph.D. theses.

 

KEY RESEARCH INTERESTS

• Environmental Microbiology & Mycology
• Plant Pathology & Eco-toxicology
• Genetics and Biological Sciences

BRIEF INTRODUCTION

Dr. Sadaf Abdul Rauf is an AI researcher and Associate Professor of Computer Science at Fatima Jinnah Women University, where she currently serves as Chairperson of the Department. She holds a PhD in Computer Science from Université du Maine, France, with postdoctoral research at LISN-CNRS, Université Paris-Saclay, France.

 

Her research spans Artificial Intelligence, Natural Language Processing, Machine Translation, and Explainable AI, with applications in financial text analytics and low-resource languages. She has led funded national and international projects, including a Speech-enabled MT system that won the Computer Science category at PINTECH Summit 2025 and placed second at PASHA ICT Awards 2025. She has published in Computer Speech & Language, and IEEE/ACM journals.

 

KEY RESEARCH INTERESTS

• Artificial Intelligence & Explainable AI
• Speech and Natural Language Processing
• Machine Translation for Low-Resource Languages

 

ONGOING PROJECTS

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https://slpg-fjwu.github.io/

BRIEF INTRODUCTION

Prof. Dr. Humaira Afzal is a Professor and Chairperson of the Department of Computer Science at Bahauddin Zakariya University, Multan. She earned her PhD in Computer Science from the University of Bradford, UK (2011–2014), with a thesis focused on dynamic spectrum sharing in cognitive radio-based wireless regional area networks. She also holds an M.Sc./M.Phil. in Computer Engineering from UET Taxila (CGPA 3.75/4.00) and secured Gold Medal in her M.Sc. Computer Science from BZU.

 

With expertise in AI-driven wireless networks, IoT, and cognitive radio systems, her research focuses on applying machine learning for resource optimization in next-generation communication networks. She currently serves as Chairperson of the department and PhD Program Coordinator, and has been the focal person for BSCS accreditation.

 

KEY RESEARCH INTERESTS

• AI/ML for 5G & Next-Generation Wireless Networks
• Cognitive Radio & Dynamic Spectrum Management
• IoT and Wireless Sensor Networks (WSN)
• Autonomous Slice Management & Cross-Layer Optimization
• Anomaly Detection & Network Management Analytics

BRIEF INTRODUCTION

Dr. Imran Javaid is a Professor of Mathematics at the Centre for Advanced Studies in Pure and Applied Mathematics (CASPAM), BZU Multan. He earned his PhD in theoretical graph theory and network analysis, and his research has evolved from pure graph-theoretic foundations to applied computational intelligence and financial analytics.

 

His current work integrates mathematical modeling, graph-based data structures, machine learning, and predictive analytics to tackle complex problems in finance, risk management, and operational systems. He actively supervises research in portfolio optimization, financial forecasting, pricing strategies, and supply chain optimization, emphasizing data-driven and industry-relevant solutions.

 

KEY RESEARCH INTERESTS

• Graph Theory & Network-Based Data Modeling
• Machine Learning for Financial Forecasting
• Quantitative Finance & Actuarial Risk Modeling
• Operations Research & Optimization
• Business Intelligence & Predictive Analytics

BRIEF INTRODUCTION

Dr. Imran Javaid is a Professor of Mathematics at the Centre for Advanced Studies in Pure and Applied Mathematics (CASPAM), BZU Multan. He earned his PhD in theoretical graph theory and network analysis, and his research has evolved from pure graph-theoretic foundations to applied computational intelligence and financial analytics.

 

His current work integrates mathematical modeling, graph-based data structures, machine learning, and predictive analytics to tackle complex problems in finance, risk management, and operational systems. He actively supervises research in portfolio optimization, financial forecasting, pricing strategies, and supply chain optimization, emphasizing data-driven and industry-relevant solutions.

 

KEY RESEARCH INTERESTS

• Graph Theory & Network-Based Data Modeling
• Machine Learning for Financial Forecasting
• Quantitative Finance & Actuarial Risk Modeling
• Operations Research & Optimization
• Business Intelligence & Predictive Analytics

BRIEF INTRODUCTION

Dr. Hammad Shahab is a Lecturer at KFUEIT with over 14 years of experience in academia, IT projects, and R&D. He completed his PhD in Computer Engineering with a focus on IoT-based self-powered systems for smart farming.

 

His expertise covers designing IoT systems for agriculture and livestock monitoring, mobile applications for real-time cloud-based monitoring, and automation for sustainable resource management. He has supervised Ignite-funded projects, contributed to curriculum design, and served on key university committees.

 

KEY RESEARCH INTERESTS

• IoT-Based Systems for Smart Farming & Precision Agriculture
• Machine Learning Applications in Agriculture & Resource Monitoring
• Hyperspectral Imaging for Crop Quality Evaluation

 

ONGOING RESEARCH

Maize Seeds Viability and Quality Evaluation Framework Using Machine Learning and Hyperspectral Imaging for Smart Agriculture Management.

 

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Google Scholar Profile

BRIEF INTRODUCTION

Prof. Dr. Syed Waqar ul Qounain Jaffry is a Professor of Information Technology and Director of the National Centre of Artificial Intelligence (NCAI) at the University of the Punjab, Lahore. His research focuses on artificial intelligence, agent-based modeling, intelligent transportation systems, and applied machine learning for socio-technical systems.

 

KEY RESEARCH INTERESTS

• Artificial Intelligence & Agent-Based Modeling
• Intelligent Transportation Systems
• Applied Machine Learning for Socio-Technical Systems

BRIEF INTRODUCTION

Dr. Muhammad Adeel Nisar is an Assistant Professor in the Department of Information Technology at the University of the Punjab, Lahore. He contributes to the project as Co-Principal Investigator, bringing expertise in information technology research and academic leadership.

 

CONTACT

📞 +92 319 4007638

BRIEF INTRODUCTION

Dr. Nadeem Akhtar is an Associate Professor in the Department of Information Technology at the University of the Punjab, Lahore. He serves as the second Co-Principal Investigator from Punjab University, supporting research and academic coordination for the project.

 

CONTACT

📞 +92 331 2116491