{"id":6000,"date":"2025-10-15T04:03:00","date_gmt":"2025-10-15T04:03:00","guid":{"rendered":"http:\/\/coeai.bahria.edu.pk\/?p=6000"},"modified":"2025-10-17T09:55:25","modified_gmt":"2025-10-17T09:55:25","slug":"dr-asad-ullah","status":"publish","type":"post","link":"https:\/\/coeai.bahria.edu.pk\/index.php\/dr-asad-ullah\/","title":{"rendered":"Dr Asad Ullah"},"content":{"rendered":"\t\t
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Dr Asad Ullah<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\n\t\t\t\t\t\t\tS. Associate Professor^ Computer Vision%\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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Designation(s): S.\u00a0Associate Professor (CS)<\/strong>
Department(s): Computer Science, AI Enabling Technologies Research Center<\/strong>
Research Interests: Artificial Intelligence, Deep Learning, Computer Vision, Facial Expression Recognition, Medical Image Analysis, Smart Surveillance Systems, Human-Centered AI<\/b>
Email: asadullah.buic@bahria.edu.pk<\/b>
Contact:\u202f+92 (051) 111 111 028<\/strong><\/p>

Dr. Asad Ullah is currently serving as a Senior Associate Professor at Bahria University and he also served as Associate Head of the Department (Academics) at the Department of Computer Software Engineering, Military College of Signals, NUST. With a PhD in Artificial Intelligence from Beijing Institute of Technology, China, his expertise lies in machine learning, computer vision, and deep learning applications for smart and healthcare systems. He has led several funded projects and has a strong publication record in reputed journals and conferences. Dr. Asad is actively involved in mentoring PhD and MS students and plays a pivotal role in academic leadership and national R&D collaborations.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Projects<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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  • Automated OCT and VKG Report Generation Tool (under review)<\/b><\/div>
    Funding: PKR 6.6 Million \u2013 AFIO Rawalpindi<\/i><\/div><\/li>
  • 3D Bioprinting for Skin Disease Detection<\/b>\u00a0\u2013 In collaboration with Rehman Medical Institute<\/div><\/li>
  • Timetable Scheduler with Variable Constraints<\/b>\u00a0\u2013 Deployed project with RMI<\/div><\/li>
  • Smart Surveillance & Facial Recognition Systems<\/b>\u00a0\u2013 Anomaly and emotion detection using AI<\/div><\/li>
  • FICS Platform Contribution<\/b>\u00a0\u2013 Evaluation and mentorship of national-level innovative tech projects<\/div><\/li><\/ul><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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    Punlications <\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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    • Gene selection based on adaptive neighborhood-preserving multi-objective particle swarm optimization,\u00a0PeerJ Computer Science<\/i>, June 2025.<\/div><\/li>
    • A deep learning-assisted visual attention mechanism for anomaly detection in videos,\u00a0Multimedia Tools and Applications<\/i>, September 2024.<\/div><\/li>
    • Application of the Deep Convolutional Neural Network for the Classification of Auto Immune Diseases,\u00a0Computers, Materials & Continua<\/i>, 2023.<\/div><\/li>
    • Augmenting the Robustness and Efficiency of Violence Detection Systems for Surveillance and Non-Surveillance Scenarios,\u00a0IEEE Access<\/i>, November 2023.<\/div><\/li>
    • Forecasting and Trading of the Stable Cryptocurrencies With Machine Learning and Deep Learning Algorithms for Market Conditions, October 2023.<\/div><\/li>
    • An Advanced Deep Learning Models-Based Plant Disease Detection: A Review of Recent Research,\u00a0Frontiers in Plant Science<\/i>, March 2023.<\/div><\/li>
    • A Deep Learning-Based Model for Plant Lesion Segmentation, Subtype Identification, and Survival Probability Estimation,\u00a0Frontiers in Plant Science<\/i>, 2022.<\/div><\/li>
    • Empirical Investigation of Multimodal Sensors in Novel Deep Facial Expression Recognition in-the-Wild,\u00a0Journal of Sensors<\/i>, March 2021.<\/div><\/li>
    • Fusion of Machine Learning and Privacy Preserving for Secure Facial Expression Recognition,\u00a0Security and Communication Networks<\/i>, January 2021.<\/div><\/li>
    • Subjective QoE of 360-Degree Virtual Reality Videos and Machine Learning Predictions,\u00a0IEEE Access<\/i>, August 2020.<\/div><\/li>
    • Evaluating the Factors Affecting QoE of 360-Degree Videos and Cybersickness Level Predictions in Virtual Reality,\u00a0Electronics<\/i>, September 2020.<\/div><\/li>
    • Measuring Quality of Experience for 360-Degree Videos in Virtual Reality,\u00a0Science China Information Sciences<\/i>, August 2020.<\/div><\/li>
    • Impact of the Impairment in 360-Degree Videos on Users\u2019 VR Involvement and Machine Learning-Based QoE Predictions, November 2020.<\/div><\/li>
    • Facial Expression Recognition of Nonlinear Facial Variations Using Deep Locality De-Expression Residue Learning in the Wild,\u00a0Electronics<\/i>, December 2019.<\/div><\/li>
    • \u00a0<\/li><\/ul><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t
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      • Deep Facial Expression Recognition of Facial Variations Using Fusion of Feature Extraction with Classification in End-to-End Model,\u00a04th IEEE Int\u2019l Conference on Emerging Trends in Engineering, Sciences and Technology<\/i>, December 2019.<\/div><\/li>
      • Nonlinear Manifold Feature Extraction Based on Spectral Supervised Canonical Correlation Analysis for Facial Expression Recognition with RRNN,\u00a011th IEEE Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)<\/i>, October 2018, Beijing, China.<\/div><\/li>
      • Feature Extraction Based on Canonical Correlation Analysis Using FMEDA and DPA for Facial Expression Recognition with RNN,\u00a014th IEEE Int\u2019l Conference on Signal Processing<\/i>, August 2018, Hong Kong, China.<\/div><\/li>
      • Securing Insulin Pump System Using Deep Learning and Gesture Recognition,\u00a017th IEEE Int\u2019l Conference on Trust, Security and Privacy in Computing and Communications \/ Big Data Science and Engineering<\/i>, USA, 2018.<\/div><\/li>
      • User Profile Analysis for Enhancing QoE of 360 Panoramic Video in Virtual Reality Environment,\u00a0IEEE Int\u2019l Conference on Virtual Reality and Visualization (ICVRV)<\/i>, October 2018, Qingdao, China.<\/div><\/li>
      • Impact of Stalling on QoE for 360-Degree Virtual Reality Videos,\u00a0IEEE Int\u2019l Conference on Signal, Information and Data Processing<\/i>, December 2019, Chongqing, China.<\/div><\/li><\/ul><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t
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        • Convergence of Blockchain, Internet of Everything, and Federated Learning for Security
          Publisher:<\/i>\u00a0IGI Global
          Publication Date:<\/i>\u00a0March 2025<\/div><\/li><\/ul><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t
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          • Industry Applications of Blockchain and IoEs: Transforming Supply Chains, Healthcare, Manufacturing, and Smart Cities
            In:<\/i>\u00a0Convergence of Blockchain, Internet of Everything, and Federated Learning for Security<\/i>, IGI Global, March 2025.<\/div><\/li>
          • Networking and Security Architectures for IoE
            In:<\/i>\u00a0Cybersecurity Vigilance and Security Engineering of Internet of Everything<\/i>, 2024.<\/div><\/li>
          • A Novel Deep Learning Model for Small Datasets to Secure Internet of Things in Healthcare
            In:<\/i>\u00a0Studies in Computational Intelligence<\/i>, January 2021.<\/div><\/li><\/ul><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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            Journal Publications<\/span><\/div>