Dr. Mujtaba Asad

Dr. Mujtaba Asad

Dr. Mujtaba Asad

Assistant Professor

mujtaba.asad@ucp.edu.pk

Dr. Mujtaba Asad has 10 years of professional teaching and research experience. He received the degree of Ph.D. from Shanghai Jiao Tong University, Shanghai China, which is one of the top QS-ranked institutes in the world. He received his BS degree in Telecommunication Engineering in 2012 and M.S. degree in Computer Sciences in 2016 from the National University of Computer and Emerging Sciences (FAST-NUCES), Lahore Pakistan. He has also received another M.S. degree in Electrical Engineering in 2014 from G.C University Lahore, Pakistan. He has worked as a Senior Researcher at the Institute of Image Processing and Pattern Recognition. He has also been serving as a Technical Reviewer for several renowned Journals. Dr. Mujtaba’s research interest includes Computer Vision, Deep Learning, Machine Learning, and Video Analysis (crowded scene analysis, activity recognition and anomaly detection).

PhD Computer Vison, Deep Learning Shanghai Jiao Tong University 2020
Masters in Computer Science MS (CS) Computer Science FAST-NUCES Lahore 2015
BS(TE) Communication Engineering FAST-NUCES Lahore 2012
Intermediate (I.C.S) Computer Science G.C.U Lahore 2008
Assistant Professor Department of Computer Science, Lahore Garrison University Dec-2020 -Nov 2022
Senior Lecturer Department of Computer Science, Lahore Garrison University Nov- 2020 to Nov-2021
Research Associate & Project Team Lead Video Analysis Group Institute of image processing & Pattern Recognition, SJTU, Shanghai China. Key Laboratory of System Control and Information Processing, Ministry of Education of China, Shanghai, China Sep-2017 to Dec 2020
Lecturer Department of Computer Science, Lahore Garrison University Nov- 2015 to Sept 2017
Lecturer Department of Computer Science & IT, University of Gujrat, Lahore Campus Nov 2013 to Nov 2015
Software Engineer TechZone Labs Aug 2012- Sep 2014
1 Asad, M., J., He, Yang, J., & Malik, A. A. (2022). Multi-level Two Stream Fusion based Spatio-temporal Attention Model for Violence Detection and Localization. International Journal of Pattern Recognition & Artificial Intelligence. https://doi.org/10.1142/ S0218001422550023. [Impact Factor: 1.373]
2Asad, M., J., He, Yang, J., Tu, E., & Malik, A. A. (2021). Multi-Stream 3D Latent Feature Clustering for Abnormality Detection in Videos. Applied Intelligence Journal Appl Intell (2021). http://dx.doi.org/10.1007/s10489-021-02356-9. [Impact Factor: 5.068]
3Asad, M., Yang, J., Tu, E., Chen, L., & He, X. (2021). Anomaly3D: Video anomaly detection based on 3D-normality clusters. Journal of Visual Communication and Image Representation, 75, 103047. https://doi.org/10.1016/j.jvcir.2021.103047. [Impact Factor: 2.479]
4Asad, M., Yang, J., He, J., Shamsolmoali, P., & He, X. (2020). Multi-frame feature-fusion-based model for violence detection. The Visual Computer, 1-17. https://doi.org/10.1007/s00371-020-01878-6. [Impact Factor: 2.601]
5Jiang, H., Asad, M., Huang, X., & Yang, J. (2020). “Learning in-place residual homogeneity for single image detail enhancement”. Journal of Electronic Imaging, 29(4), 043016. https://doi.org/10.1117/1.JEI.29.4.043016 . [Impact Factor: 0.884]
6Asad, M., Yang, Z., Khan, Z., Yang, J., & He, X. (2019, December). “Feature Fusion Based Deep Spatiotemporal Model for Violence Detection in Videos”. In International Conference on Neural Information Processing (ICONIP) (pp. 405-417). Springer, Cham. https://doi.org/10.1007/978-3-030-36708-4_33
7Zafar and M. Asad, “Enhanced Security and Reinstatement Computing of Images Using Fragile Invisible Integer Wavelet Watermarking Scheme” In Proceedings of the World Congress on Engineering 2015 Vol. 1 WCE 2015, July 1 - 3, 2015, London, U.K ISBN: 978-988-19253-4-3, ISSN: 2078-0958 (Print); ISSN: 2078-0966, http://www.iaeng.org/publication/WCE2015/WCE2015_pp566-570.pdf
8Azeem, W., Malik, A. A., Amjad, K., Asad, M., & Rashid, H. U. (2020). Applications of Internet of Medical Things (IOMT) In Telemedicine for Medical and Health Care System. Pakistan Journal of Science 2020, 72(4), 309.
9Parveen, K., Shah, G. A., Aslam, M., Malik, A. A., Azeem, W., & Asad, M. (2020). Semantic Interoperability in Health Domain Using M3 Ontology Framework. Pakistan Journal of Science 2020, 72(4), 309.
10Aftab Ahmad Malik, Mujtaba Asad and Waqar Azeem, “DNA Fingerprints, Facial prints and other Digital Forensics as Evidence in Criminal Investigation and Court Proceedings”, LGURJCSIT: pages 1-9, vol. 2, Issue 1, January-March 2018: ISSN 2522-3429.
11Haseeb Aslam, A. A.Malik, N. Riaz, M. Asad, “ Analysis of Advantages and Problems in Teaching and Assessment with Online System during Covid-19”, Vol. 5 No. 1 (2021): LGURJCSIT (Lahore Garrison University Research Journal of Computer Science and IT), January-March 2021
12K. Parveen, Galib.A. Shah, A. A. Malik, W. Azeem, M. Asad, “Intelligent Low-Cost Preliminary Identification of COVID-19 using IoT”, HEC Recognized, Pakistan Journal of Science, (June 2021).
13K. Parveen, Galib.A. Shah, A. A.Malik, W. Azeem, M. Asad, “Design and Development of a compact Ontology for Semantic Modeling of a Smart Hospital”, HEC Recognized, Pakistan Journal of Science, (June 2021)

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