Dr Asad Ullah

S. Associate Professor^ Computer Vision%

Designation(s): S. Associate Professor (CS)
Department(s): Computer Science, AI Enabling Technologies Research Center
Research Interests: Artificial Intelligence, Deep Learning, Computer Vision, Facial Expression Recognition, Medical Image Analysis, Smart Surveillance Systems, Human-Centered AI
Email: asadullah.buic@bahria.edu.pk
Contact: +92 (051) 111 111 028

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.

Projects

  • Automated OCT and VKG Report Generation Tool (under review)
    Funding: PKR 6.6 Million – AFIO Rawalpindi
  • 3D Bioprinting for Skin Disease Detection – In collaboration with Rehman Medical Institute
  • Timetable Scheduler with Variable Constraints – Deployed project with RMI
  • Smart Surveillance & Facial Recognition Systems – Anomaly and emotion detection using AI
  • FICS Platform Contribution – Evaluation and mentorship of national-level innovative tech projects

Punlications

  • Gene selection based on adaptive neighborhood-preserving multi-objective particle swarm optimization, PeerJ Computer Science, June 2025.
  • A deep learning-assisted visual attention mechanism for anomaly detection in videos, Multimedia Tools and Applications, September 2024.
  • Application of the Deep Convolutional Neural Network for the Classification of Auto Immune Diseases, Computers, Materials & Continua, 2023.
  • Augmenting the Robustness and Efficiency of Violence Detection Systems for Surveillance and Non-Surveillance Scenarios, IEEE Access, November 2023.
  • Forecasting and Trading of the Stable Cryptocurrencies With Machine Learning and Deep Learning Algorithms for Market Conditions, October 2023.
  • An Advanced Deep Learning Models-Based Plant Disease Detection: A Review of Recent Research, Frontiers in Plant Science, March 2023.
  • A Deep Learning-Based Model for Plant Lesion Segmentation, Subtype Identification, and Survival Probability Estimation, Frontiers in Plant Science, 2022.
  • Empirical Investigation of Multimodal Sensors in Novel Deep Facial Expression Recognition in-the-Wild, Journal of Sensors, March 2021.
  • Fusion of Machine Learning and Privacy Preserving for Secure Facial Expression Recognition, Security and Communication Networks, January 2021.
  • Subjective QoE of 360-Degree Virtual Reality Videos and Machine Learning Predictions, IEEE Access, August 2020.
  • Evaluating the Factors Affecting QoE of 360-Degree Videos and Cybersickness Level Predictions in Virtual Reality, Electronics, September 2020.
  • Measuring Quality of Experience for 360-Degree Videos in Virtual Reality, Science China Information Sciences, August 2020.
  • Impact of the Impairment in 360-Degree Videos on Users’ VR Involvement and Machine Learning-Based QoE Predictions, November 2020.
  • Facial Expression Recognition of Nonlinear Facial Variations Using Deep Locality De-Expression Residue Learning in the Wild, Electronics, December 2019.
  •  
  • Deep Facial Expression Recognition of Facial Variations Using Fusion of Feature Extraction with Classification in End-to-End Model, 4th IEEE Int’l Conference on Emerging Trends in Engineering, Sciences and Technology, December 2019.
  • Nonlinear Manifold Feature Extraction Based on Spectral Supervised Canonical Correlation Analysis for Facial Expression Recognition with RRNN, 11th IEEE Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), October 2018, Beijing, China.
  • Feature Extraction Based on Canonical Correlation Analysis Using FMEDA and DPA for Facial Expression Recognition with RNN, 14th IEEE Int’l Conference on Signal Processing, August 2018, Hong Kong, China.
  • Securing Insulin Pump System Using Deep Learning and Gesture Recognition, 17th IEEE Int’l Conference on Trust, Security and Privacy in Computing and Communications / Big Data Science and Engineering, USA, 2018.
  • User Profile Analysis for Enhancing QoE of 360 Panoramic Video in Virtual Reality Environment, IEEE Int’l Conference on Virtual Reality and Visualization (ICVRV), October 2018, Qingdao, China.
  • Impact of Stalling on QoE for 360-Degree Virtual Reality Videos, IEEE Int’l Conference on Signal, Information and Data Processing, December 2019, Chongqing, China.
  • Convergence of Blockchain, Internet of Everything, and Federated Learning for Security
    Publisher: IGI Global
    Publication Date: March 2025
  • Industry Applications of Blockchain and IoEs: Transforming Supply Chains, Healthcare, Manufacturing, and Smart Cities
    In: Convergence of Blockchain, Internet of Everything, and Federated Learning for Security, IGI Global, March 2025.
  • Networking and Security Architectures for IoE
    In: Cybersecurity Vigilance and Security Engineering of Internet of Everything, 2024.
  • A Novel Deep Learning Model for Small Datasets to Secure Internet of Things in Healthcare
    In: Studies in Computational Intelligence, January 2021.

Publications

Journal Publications
[j10]
Yasmeen, U., Khan, M, A., Tariq, U., Khan, J, A., Asfand-E- Yar, M. (2022). Citrus Diseases Recognition Using Deep Improved Genetic Algorithm (CMC Tech Science), 3667-3684.
[j09]
Hussain, N., Khan, M, A., Tariq, U., Kadry, S., Asfandeyar, M., (2022). Multiclass Cucumber Leaf Diseases Recognition Using Best Feature Selection (CMC Tech Science), 3281-3294.
[j08]
Majid, A., Khan, M, A., Alhaisoni, M., Asfandeyar, M. (2022). An Integrated Deep Learning Framework for Fruits Diseases Classification (CMC Tech Science), 1387-1402.
[j07]
Asfand-e-yar, M., Ali, R. (2020). Semantic Integration of Heterogeneous Databases of same Domain using Ontology (IEEE Access), 77903-77919.
[j06]
Asfand-e-yar, M., Ali, R., Mushtaq, S. (2020). Semantic Classification of Business Ontology while Migrating Business (Multimedia tools and Appilcation-SPRINGER), 17903–17921.
[j05]
Henna, S., Sajeel, M., Bahir, F., Asfand-e-yar, M., Tauqir, M. (2017). A Fair Contention Access Scheme for Low-Priority Traffic in Wireless Body Area Networks (MDPI Sensors) 1- 21.
[j04]
Lodhi, M, A., Khan, M, M., Rahman, A., Asfand-e-yar, M., Bahir, F. (2017). Transient Multipath routing protocol for low power and lossy networks (KSII Transactions on IIS), 2000-2019.
[j03]
Zafar, R., Asfand-e-yar, M. (2016). Scheduling on Heterogeneous Multi-core Processors Using Stable Matching Algorithm (IJACSA), 505-509.
[j02]
Asfand-e-yar, M., Anjomshoaa, A., Weippl, E, R., Toja, A, M. (2010). Exploiting Ontology for Software License Agreements (IJSI) 89-100.
[j01]
Asfand-e-yar, M., Sher, M. (2004). Secure rout path Formation in Ad hoc On-demand Distance Vector Routing Protocol (ITJ), 142-145.
Conference Proceedings
[c10]
Rustum, I., Asfandeyar, M. (2022, April). An Ontology Model Approach for Cloud Service Level Agreement (SLAs), International Conference on Business Analytics for Technology and Security, (pp. 1-5). IEEE
[c09]
Tauseef, H., Asfand-e-yar, M. (2021, September). Extractive summarization of text using Supervised and Unsupervised techniques, International Conference on Natural Language Processing, (pp. 37-41), IEEE.
[c08]
Multani, M, K., Rahman, A., Asfand-e-yar, M., (2017, April). Partially Online Dynamic Bandwidth Allocation Algorithm for Hybrid TDM/WDM EPON, International conference on Smart Technologies, (pp. 902-906), IEEE.
[c07]
Paha, R., Asfand-e-yar, M. (2016, March). A Review of Cross-Platform binary compatibility using Dynamic Binary Translation, Proceedings of 1st National Conference on Emerging Trends and Innovations in Computing & Technology.
[c06]
Asfandeyar, M., Kucera, A., Pitner, T. (2014, February). Smart Buildings: Semantic Web Technology for Building Information Model and Building Management System, International conference on Data and Software Engineering (pp. 1-6). IEEE
[c05]
Asfandeyar, M., Kucera, A., Pitner, T. (2014, February). Smart Buildings: Semantic Web Technology (Location and Device Information); services for BIM, Proceedings of European IST Projects, The Quest for Excellence Towards 2020 (pp. 78-89). SCITEPRESS.
[c04]
Asfandeyar, M., Kucera, A., Pitner, T. (2014, February). Semantic Web Technology for Building Information Model, 9th International Conference on Software Engineering and Applications – Enterprise Applications (pp. 109-116). SCITEPRESS.
[c03]
Asfandeyar, M., Toja, A, M. (2013, March). Using Semantic Web to Enhance User understand-ability for Online Shopping License Agreement, International Conference on Information, Computing and Technology -EurAsia (pp. 233-242), LNCS Springer Verlag.
[c02]
Ahmad, M., Asfandeyar, M., Anjomshoaa, A., Khan, A., Toja, A, M. (2010, September). Towards an Ontology-Based Solution for Managing License Agreement Using Semantic Desktop, 5th International Conference on Availability, Reliability and Security (pp. 309-314), IEEE.
[c01]
Asfandeyar, M., Anjomshoaa, A., Weippl, E, R., Toja, A, M., (2009, November). Blending the Sketched Use Case Scenario with License Agreements Using Semantics, 3rd International Conference on Knowledge Science, Engineering and Management (pp. 275-284), LNCS Springer Verlag.