Amanullah Yasin

Fully funded PhD fellowship opportunity in Artificial Intelligence at Bahria University, Islamabad (H-11 Campus) , under the supervision of Prof. Dr. Amanullah Yasin (Department of Computer Science). The project is centered on Privacy-Preserving Federated Soft Biometrics for Real-Time Covert Urban Surveillance , combining Artificial Intelligence , Computer Vision , Federated Learning , Edge Computing , Big Data Analytics , Incremental & Distributed Learning , and Human-Centric AI . The research theme focuses on developing intelligent, privacy-preserving surveillance systems that can understand human attributes and behaviors using non-intrusive soft biometric traits such as gait, clothing, posture, activity patterns, and crowd dynamics. The post highlights applications in smart cities, urban security, responsible AI, and ethical AI deployment. The selected PhD fellow will also collaborate internationally with researchers from London Metropolitan University, UK , including Dr. Bilal Hassan (Senior Lecturer AI & Computer Vision), with opportunities for collaborative publications, research networking, and possible research exchange. Funding: full tuition fee coverage for 3 years and a monthly stipend of PKR 100,000 for 3 years. Additional benefits include access to advanced AI labs and HPC facilities, high-impact journal and conference publications, and potential research visits/exchange opportunities. Eligibility: MS/MPhil (equivalent) in AI, CS, SE, DS, EE, CE, Cyber Security, Information Security, or related fields; CGPA at least 3.0/4.0; strong background in mathematics, machine learning, and optimization; proficiency in Python and ML/DL frameworks such as PyTorch, TensorFlow, or Keras; computer vision and deep learning experience is desirable. Deadline: 18 June 2026. Entry test: 20 June 2026. Apply online via the Bahria University admissions portal and ensure all required documents are submitted before the deadline.

Bahria University, Islamabad (H-11 Campus) has reopened admissions for a PhD in Artificial Intelligence for Fall 2026 . The post announces both a Regular PhD Program and a Fully Funded PhD Fellowship Scheme in a research group led by Prof. Dr. Amanullah Yasin in the Department of Computer Science. The fellowship research theme is Privacy-Preserving Federated Soft Biometrics for Real-Time Covert Urban Surveillance . The project sits at the intersection of Artificial Intelligence , Computer Vision , Federated Learning , Edge Computing , Big Data Analytics , Incremental & Distributed Learning , and Human-Centric AI . The broader research interests listed include soft biometrics, deep learning and transformers, privacy-preserving AI, human activity recognition, crowd analytics, smart city intelligence, and ethical/responsible AI. The fellowship offers strong financial support: full tuition coverage for 3 years and a monthly stipend of PKR 100,000 for 3 years . It also mentions access to advanced AI laboratories, high-performance computing facilities, high-impact publications, and possible international research exchange opportunities. The project includes collaboration with researchers from London Metropolitan University, United Kingdom , which may support joint publications and international networking. Eligibility differs by track. For the Regular PhD , the minimum requirement is CGPA 3.00/4.00 . For the Fully Funded Fellowship , applicants need an MS/MPhil or equivalent in AI, Computer Science, Data Science, Software Engineering, Computer Engineering, Electrical Engineering, Cyber Security, Information Security , or a closely related field, plus CGPA 3.50/4.00 . Applicants with strong preparation in machine learning, deep learning, mathematics, optimization, computer vision , and Python-based AI frameworks such as PyTorch, TensorFlow, or Keras are especially encouraged. The application deadline is 1 August 2026 , and the PhD entry test is scheduled for 8 August 2026 . Interested candidates should apply online through the Bahria University admissions portal and may contact [email protected] for further information.