Nadeem

Dr. Nadeem Anjum (PhD QMU, UK)

Assistant Professor
PROFILE SUMMARY

Dr Nadeem Anjum has been involved in research and development for more than 18 years. Dr Anjum completed his Masters in Computer Science in 2001 from International Islamic University, Islamabad (with distinction). He joined Advanced Engineering Research Organization and served the organization for five years as an Assistant Manager. To further his studies, he went at Queen Mary University of London (QMUL, UK) for MS in computer science. He achieved distinction in MS and got QMUL scholarship for PhD. He earned his PhD in 2010 and then joined Riphah International University, Islamabad in 2010 as an Assistant Professor. In 2013, he joined the University of Engineering and Technology Taxila as an Assistant Professor and served the organization for three years. In 2016, Dr Anjum joined Stemma International (pvt) limited as founding director. Dr Anjum received the best paper award at IEEE AVSS 2009. His current research interests include deep learning for human activity recognition, computer vision, and machine learning.

QUALIFICATION
PhD Computer Science Queen Mary University of London, London 2010
MS Computer Science Queen Mary University of London, London 2006
MSc Computer Science International Islamic University, Islamabad-PK 2001
TEACHING EXPERIENCE
Assistant Professor Capital University of Science and Technology (CUST), Islamabad Since – 2019
Assistant Professor University of Engineering and Technology, Taxila-Pakistan 2013 – 2016
Assistant Professor Riphah International University, Islamabad-Pakistan 2010 – 2013
Teaching Assistant Multimedia and Vision Group (MMV) at Queen Mary University (QMUL), London 2001 – 2005
INDUSTRIAL EXPERIENCE
Founder Director Stémma International (PVT) Limited 2016 – 2019
Assistant Manager Advanced Engineering Research Organization-Pakistan 2001 – 2005
HONORS & AWARDS
1. PhD scholarship from Queen Mary University of London
2. Distinction certificate from Queen Mary University of London in MS
3. Best paper award, IEEE AVSS 2009, Italy
4. Distinction certificate from IIUI in MCS
RESEARCH AREAS / INTERESTS
  1. Computer Vision;
  2. Deep Learning for Human activity recognition;
  3. Machine Learning and Pattern Recognition.
JOURNAL PUBLICATIONS
1. S. Bibi, N. Anjum, T. Amjad, G. McRobbie, and N. Ramzan. Human Interaction Anticipation by Combining Deep Features and Transformed Optical Flow Components. IEEE Access, 2020.
2. A. Khattak, G. Raja, N. Anjum. Adaptive Framework for Multi-Feature Hybrid Object Tracking. Applied Sciences, 8(11), p.2294. 2018
3. S. Bibi, N. Anjum, M. Sher, Automated Multi- Feature Human Interaction Recognition in Complex Outdoor Environments, Elsevier, Computers in Industry (Accepted,2018)
4. M J. Mirza, and N. Anjum. “Association of moving objects across visual sensor networks.” Journal of Multimedia 7.1 2012
5. N. Anjum and A. Cavallaro. Automated localization of a camera network. IEEE Intelligent Systems, 2012
6. N. Anjum. Camera localization in distributed networks using trajectory estimation, Journal of Electrical and Computer Engineering, 2011
7. N. Anjum and A. Cavallaro. Multi-feature object trajectory clustering for video analysis. IEEE Trans. on Circuits and Systems for Video Technology, 18(11):1555-1564, Nov. 2008
8. N. Anjum and A. Cavallaro. Trajectory clustering for scene context learning and outlier detection. Springer-Verlag series on Studies in Computational Intelligence, 2010
9. N. Anjum and A. Cavallaro. Multi-camera calibration and global trajectory fusion. Intelligent Video Surveillance Systems and Technology, 2010
CONFERENCE PUBLICATIONS
1. A. M. Qureshi and N. Anjum. Detection of Malicious Consumer Interest Packet While Mitigating Content Poisoning Attack with Name-Key Based Forwarding and Multipath Forwarding Based Inband Probe. International Conference on UK-China Emerging Technologies (UCET), 2020.
2. Khattak, Ahmad S., Gulistan Raja, N. Anjum, and Muhammad Qasim. “Integration of mean-shift and particle filter: a survey.” In 2014 12th International Conference on Frontiers of Information Technology, pp. 286-291. IEEE, 2014.
3. M J. Mirza ; M W. Tahir ; N. Anjum. Performance Evaluation of M-Estimators as Observation Noise Model in Kalman Filter.In Proc.of IEEE Intl. Conf on Multi-topic Conference (INMIC), 2017
4. A. S. Khattak ; G. Raja ; N. Anjum; M. Qasim. Integration of Mean-Shift and Particle Filter: A Survey, In Proc.of IEEE Intl. Conf on Frontiers of Information Technology (FIT), 2014
5. M J. Mirza ; M W. Tahir ; N. Anjum. On Singularities Computation and Classification of Redundant Robots, International Conference on Computing, Communication and Control Engineering (IC4E’2015), May 22-23,2015 Dubai
6. N. Anjum ; M J. Mirza ; A. Cavallaro Camera network localization using trajectory estimation, Emerging Technologies (ICET), 2011
7. N. Anjum and A. Cavallaro. Localization of distributed wireless cameras. In Proc. of IEEE Intl. Conf. on Distributed Smart Cameras, Como (Italy), Aug., 2009
8. N. Anjum and A. Cavallaro. Trajectory association and fusion across partially overlapping cameras. in Proc. of IEEE Intl. Conf. on Advanced Video and Signal Based Surveillance, Genoa (Italy), Sep., 2009. Best paper award
9. 8. G. Kayumbi, N. Anjum and A. Cavallaro. Global trajectory reconstruction from distributed visual sensors. in Proc of IEEE Intl. Conf. on Distributed Smart Cameras, Stanford, California (USA), Sep., 2008
10. N. Anjum and A. Cavallaro. Unsupervised fuzzy clustering for trajectory analysis. in Proc of IEEE Intl. Conf. on Image Processing, San Antonio, Texas (USA), Sep., 2007
11. N. Anjum and A. Cavallaro. Single camera calibration for trajectory-based behaviour analysis. in Proc of IEEE Intl. Conf. on Advanced Video and Signal Based Surveillance, London (UK), Sep., 2007
12. N. Anjum and A. Cavallaro. Relative position estimation of non-overlapping cameras. in Proc of IEEE Intl. Conf. on Acoustics, Speech and Signal Processing, Honolulu (USA), Apr., 2007

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