Dr. Usman Habib

Faculty Member

Dr. Usman Habib

HoD (Software Engineering) & Professor

HEC Approved PhD Supervisor
(+9251 111 128 128) 3400
usman.habib@nu.edu.pk

Education

PhD (Engineering Science), Technical University of Vienna (TU WIEN), Vienna, Austria., 2016

MS (Telematics – Communication Networks and Networked Services), Norwegian University of Science and Technology (NTNU), Norway., 2010

BS (Computer Science), COMSATS Institute of Information Technology, Pakistan., 2006

Summary

Dr. Usman Habib currently serves as Professor and Head of the Software Department at the FAST School of Computing, National University of Computer and Emerging Sciences (NUCES), Islamabad, Pakistan. Before joining the FAST-NUCES Islamabad Campus, he held positions at several renowned institutions in Pakistan, including Ghulam Ishaq Khan Institute (GIKI), FAST-NUCES (Chiniot-Faisalabad and Peshawar campuses), and COMSATS University (Abbottabad Campus). He also served as the Head of the Computer Science Department at FAST-NUCES, Chiniot-Faisalabad Campus. With over fifteen years of teaching and research experience spanning from 2006 to the present, Dr. Habib has made significant contributions to academia and industry. In addition to his academic roles, he has successfully completed various industrial projects, including the “eXtract” project, funded by an Austrian funding agency under the e!MISSION program.
Dr. Usman regularly publishes his research in reputable conferences and journals. He is actively involved in conference management and has served as the Program Chair for the International Conference on Emerging Technologies (ICET) in 2019 and 2022, as well as the International Conference on IT and Industrial Technologies (ICIT) in 2022-2023 and general chair for ICIT 2024. He has also been an active member of the organizing committee for the Frontiers of Information Technology (FIT) conference series for several years.
Dr. Habib achieved outstanding academic performance during his bachelor’s degree in Computer Science at COMSATS Institute of Information Technology, Pakistan, earning a Gold Medal for the Spring 2006 session. He completed his Master’s degree at the Norwegian University of Science and Technology (NTNU), Norway, in 2008, with full funding from the Higher Education Commission of Pakistan. His master’s thesis was supervised by Dr. Do Van Thanh in collaboration with Telenor R&I and Ubisafe Norway.
Dr. Usman earned his PhD from the ICT Department at the Technical University of Vienna, Austria, where he focused on research related to “Automated Fault Detection and Diagnosis in Building Data.” His PhD was also fully funded by the Higher Education Commission (HEC) of Pakistan and conducted in collaboration with the Austrian Institute of Technology (AIT), Vienna, Austria. Currently, his research interests include machine learning, data analytics, solar cooling systems, fault detection and diagnosis systems, and information security. For more details about his work, you can access his detailed profile and research portfolio through the following links:
• Google Scholar: https://scholar.google.com.pk/citations?user=HN8JX8IAAAAJ&hl=en
• ResearchGate: https://www.researchgate.net/profile/Usman_Habib2

Publications

Journal Papers

  1. S.N. Rashid, M. Hanif, U. Habib, A. Khalil, O. Inam, and H.U. Rehman, Early-Stage Segmentation and Characterization of Brain Tumor, Computers, Materials & Continua, vol. 73, no. 1, p. 1001, 2022. (IF: 3.772 )
  2. H.U. Rehman, U. Habib, U. Ijaz, N. Islam, A. U. Rehman, R. Nawaz, Identification of Yeast s Interactome using Neural Networks, IEEE Access, vol. 7, pp. 179634–179645, 2019. (IF: 4.08)
  3. A. A. Cheema, M. S. Sarfraz, M. Usman, Q. U. Zaman, U. Habib, and E. Boonchieng, KT-CDULF: Knowledge Transfer in Context-Aware Cross-Domain Recommender Systems via Latent User Profiling, IEEE Access, vol. 12, pp. 102111–102125, 2024. (IF: 3.4)
  4. A. Khan, H. U. Rehman, U. Habib, and U. Ijaz, Detecting N6-methyladenosine sites from RNA transcriptomes using random forest, Journal of Computational Science, vol. 47, p. 101238, 2020. (IF: 2.644)
  5. F. Subhan, A. Mirza, M. B. M. Su’ud, M.M. Alam, S. Nisar, U. Habib, M Z. Iqbal, .AI-Enabled Wearable Medical Internet of Things in Healthcare System: A Survey, Applied Sciences., vol. 13, no. 3, Jan. 2023. (IF: 2.838)
  6. T. Zia, A. Abbas, U. Habib, and M. S. Khan, Learning deep hierarchical and temporal recurrent neural networks with residual learning, International Journal of Machine Learning and Cybernetics, vol. 11, no. 4, pp. 873–882, Apr. 2020. (IF : 3.844)
  7. R. Mohmand, U. Habib, M. Usman, J. Baili, and Y. Nam, A Deep Learning Approach for Automated Depression Assessment Using Roman Urdu, IEEE Access, vol. 12, pp. 193387–193401, 2024. (IF: 3.4)
  8. M. Babar, M. S. Khan, A. Din, F. Ali, U. Habib, and K. S. Kwak, Intelligent Computation Offloading for IoT Applications in Scalable Edge Computing Using Artificial Bee Colony Optimization, Complexity, vol. 2021, p. e5563531, 2021. (IF: 2.462)
  9. M. Usman, M. S. Sarfraz, M. U. Aftab, U. Habib, and S. Javed, A Blockchain Based Scalable Domain Access Control Framework for Industrial Internet of Things, IEEE Access, vol. 12, pp. 56554–56570, Apr. 2024. (IF: 3.9)
  10. M. A. Khan, U. Habib et al., Human action recognition using fusion of multiview and deep features: an application to video surveillance, Multimedia Tools and Applications., pp. 1–27, 2020. (IF: 2.101)
  11. S.U. Khan, B. Nazir, M. Hanif, A. Ali, S. Alam, U. Habib, Adaptive Runtime Monitoring of Service Level Agreement Violations in Cloud Computing, Computers, Materials & Continua, vol. 71, no. 3, p. 4199-4220, 2022. (IF: 3.772 )
  12. U. Habib, I. Jørstad, D. V. Thanh, K. Hayat, and I. A. Khan, A Framework for Secure Linux Based Authentication in Enterprises via Mobile Phone, Journal of Basic and Applied Scientific Research, vol. 1, no. 1(12), pp. 3058–3066, 2011.
  13. M. E. Hassan, M. Hussain, I. Maab, U. Habib, M. A. Khan, and A. Masood, Detection of Sarcasm in Urdu Tweets Using Deep Learning and Transformer Based Hybrid Approaches, IEEE Access, vol. 12, pp. 61542–61555, 2024. (IF: 3.9)
  14. M. Abid, F. Ahmad, F. Ullah, U. Habib, S. Nawaz, M. Iqbal, A. Farooq, High voltage DC power supply with power factor correction based on LLC resonant converter, Plos One, vol. 15, no. 9, p. e0239008, 2020. (IF: 2.740)
  15. A. Khan, H. U. Rehman, U. Habib, and U. Ijaz, m6A-Finder: Detecting m6A methylation sites from RNA transcriptomes using physical and statistical properties based features, Computational Biology and Chemistry,vol. 97, p. 107640, 2022. (IF: 2.877 )
  16. U. Habib, K. Hayat, G. Zucker, Complex building s energy system operation patterns analysis using bag of words representation with hierarchical clustering, Complex Adaptive Systems Modeling, vol. 4, no.8, pp.1-20, 2016.
  17. M. S. A. Nadeem, M. H. Waseem, W. Aziz, U. Habib, A. Masood, and M. A. Khan, Hybridizing Artificial Neural Networks Through Feature Selection Based Supervised Weight Initialization and Traditional Machine Learning Algorithms for Improved Colon Cancer Prediction, IEEE Access, vol. 12, pp. 97099–97114, 2024 (IF: 3.4)
  18. A. Rasheed, B. Zafar, A. Rasheed, N. Ali, M. Sajid, S. H. Dar, U. Habib, T. Khalil, M. T. Mahmood, Fabric Defect Detection using Computer Vision Techniques: A Comprehensive Review, Mathematical Problems in Engineering, 2020. (IF: 1.009)

Conference Papers

  1. G. Zucker, J. Malinao, U. Habib, T. Leber, A. Preisler, and F. Judex, Improving energy efficiency of buildings using data mining technologies, 2014 IEEE 23rd International Symposium on Industrial Electronics (ISIE), pp. 2664-2669, 2014
  2. M. B. Islam, U. Habib, and M. Usman, Knowledge Transfer In Cross Domain Recommender Systems Using Deep Latent Embeddings, 2024 International Conference on IT and Industrial Technologies (ICIT), Dec. 2024, pp. 1–6.
  3. U. Habib and G. Zucker, Finding the Different Patterns in Buildings Data Using Bag of Words Representation with Clustering, 2015 13th International Conference on Frontiers of Information Technology (FIT), pp. 303-308, 2015
  4. S. Fatima, H. U. Rehman, A. Sharif and U. Habib, Evaluation of Multi-Modal MRI Images for Brain Tumor Segmentation, 2019 IEEE 15th International Conference on Emerging Technologies (ICET), pp. 1-6, 2019.
  5. A. Shahid, M. S. Khan, U. Habib, S. Mukhtar, A. Ahmed, and S. Shahid, Detection of Brain Tumour in 3D MRI, 2022 International Conference on IT and Industrial Technologies (ICIT), Oct. 2022, pp. 1–7.
  6. 2. M. A. Tawab Khalil, P. D. D. Dominic, H. Kazemian, and U. Habib, A Study to Examine If Integration of Technology Acceptance Model’s (TAM) Features Help in Building a Hybrid Digital Business Ecosystem Framework for Small and Medium Enterprises (SMEs), 2011 Frontiers of Information Technology (FIT), pp. 161–166, 2011
  7. J. Zia, U. Habib, M. A. Naeem, Extraction and Classification of Medicines from Handwritten Medical Prescriptions, 2023 International Conference on Emerging Technologies (ICET), Nov. 2023.

Books & Chapters

  1. A. Khan, H. U. Rehman, U. Habib, Fog Computing for Bioinformatics Applications, Fog computing: Theory and practice, John Wiley & Sons, Ltd, pp. 529–546, 2020.