dr-nadeem

Dr. Nadeem Anjum

Professor/HoD Software Engineering
PROFILE SUMMARY

Dr. Nadeem Anjum has over 20 years of combined industrial and academic experience. He holds a PhD and an MS degree from Queen Mary University of London, UK, having received a fully funded scholarship for his doctoral studies. Currently serving as the Professor and Head of the Department of Software Engineering at Capital University of Science and Technology (C.U.S.T) in Islamabad, Pakistan, he is a Senior Member of the IEEE. Dr. Anjum actively contributes as a technical reviewer for esteemed research journals and engages in nationally and internationally funded projects. He received the Best Paper Award at the IEEE Intl. Conf. on Advanced Video and Signal-Based Surveillance (AVSS) in 2009. His research interests encompass artificial intelligence, eHealth, behavior analysis, and big data analytics.

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
Associate Professor Capital University of Science and Technology (CUST), Islamabad Since – 2021
Assistant Professor Capital University of Science and Technology (CUST), Islamabad 2019 – 2021
Assistant Professor University of Engineering and Technology, Taxila-Pakistan 2013 – 2016
Assistant Professor Riphah International University, Islamabad-Pakistan 2010 – 2013
INDUSTRIAL EXPERIENCE
Founder Director Stémma International (PVT) Limited 2016 – 2019
Assistant Manager Advanced Engineering Research Organization-Pakistan 2001 – 2005
MANAGEMENT EXPERIENCE
HoD Capital University of Science and Technology, Islamabad Since – 2021
RESEARCH AREAS / INTERESTS
1. Computer Vision
2. Deep Learning for Human Activity Recognition
3. Machine Learning
4. Pattern Recognition
RESEARCH SUPERVISION
1. PhD Robust Human Behaviour Anticipation in Multiple Camera Environments
2. PhD A Multi-Feature Hybrid Object Tracking Algorithm
3. PhD Placement of drones for efficient communication in disaster regions
4. PhD FLAG-PDFe: Geometric and Layout Aware Methods to Extract Metadata from Digital Scientific Research Publications
5. MS Detection of Malicious Consumer Interest Packet While Mitigating Content Poisoning Attack with Name-Key Based Forwarding and Multipath Forwarding Based Inband Probe
6. MS Salient Object Detection with Deep learning
7. MS Multi-feature Trajectory Analysis for abnormal activity recognition
8. MS ECG signal analysis to identify sudden cardiac arrest
9. MS Trajectory clustering for video analysis
10. MS Anticipation of human interaction using machine learning techniques
11. MS Performance analysis of machine learning algorithms
12. MS Moving object tracking using robust Kalman filter

SR.JOURNAL PUBLICATIONSYEAR
1S. Ahmed, S. Irfan, N. Kiran, N. Masood, N. Anjum, N. Ramzan. Remote health monitoring systems for elderly people: A survey. Physical Sensors2023
2W. Raja and N. Anjum, Generic Features Selection for Structure Classification of Diverse Styled Scholarly Articles”, Springer Multimedia Tools and Applications (Accepted)
3Waqas Raja and Nadeem Anjum. A Hybrid Strategy to Extract Metadata from Scholarly Articles by Utilising Support Vector Machines and Heuristics. Springer Scientrometrics (Accepted)
4S. Zaheer, N. Anjum, S. Hussain, A. D. Algarni, J. Iqbal, S. Bourouis, and S. S. Ullah. “A Multi-Parameter Forecasting for Stock Time Series Data Using LSTM and Deep Learning Model” Mathematics 11, no. 3: 590. https://doi.org/10.3390/math110305902023
5AS Khattak, N. Anjum, N. Khan, MR Mufti, N. Ramzan. “AMF-MSPF: A Retrospective Analysis with Online Object Tracking Algorithms”. Displays2022
6S. Irfan, N. Anjum, T. Althobaiti, A. A. Alotaibi, A. B. Siddiqui, and N. Ramzan, “Heartbeat Classification and Arrhythmia Detection Using a Multi-Model Deep-Learning Technique,” Sensors, vol. 22, no. 15, p. 56062022
7A. Jabbar, Q. H. Abbasi, N. Anjum, T. Kalsoom, N. Ramzan, S. Ahmed, P. M. Rafiul Shan, O. P. Falade, M. A. Imran, and M. Ur Rehman, “Millimeter-Wave Smart Antenna Solutions for URLLC in Industry 4.0 and Beyond,” Sensors, vol. 22, no. 7, p. 26882022
8Jamshed, Muhammad Ali, Charalambos Theodorou, Tahera Kalsoom, Nadeem Anjum, Qammer H. Abbasi, and Masood Ur-Rehman. “Intelligent computing-based forecasting of deforestation using fire alerts: a deep learning approach.” Physical Communication2022
9Saad Irfan, Nadeem Anjum, Turke Althobaiti, Abdullah Alhumaidi Alotaibi, Abdul Basit Siddiqui, and Naeem Ramzan. 2022. “Heartbeat Classification and Arrhythmia Detection Using a Multi-Model Deep-Learning Technique” Sensors 22, no. 15: 5606. https://doi.org/10.3390/s221556062022
10Jabbar, Abdul, Qammer H. Abbasi, Nadeem Anjum, Tahera Kalsoom, Naeem Ramzan, Shehzad Ahmed, Piyya M. Rafi-ul-Shan, Oluyemi P. Falade, Muhammad A. Imran, and Masood Ur Rehman. “Millimeter-Wave Smart Antenna Solutions for URLLC in Industry 4.0 and Beyond” Sensors 22, no. 7: 2688. https://doi.org/10.3390/s220726882022
11S. Irfan, N. Anjum, N. Masood, A. S. Khattak, and N. Ramzan. “A Novel Hybrid Deep Learning Model for Human Activity Recognition Based on Transitional Activities” Sensors 21, no. 24: 82272021
12A. Lakhan, Q. Mastoi , M. A. Dootio, F. Alqahtani, I.R. Alzahrani, F. Baothman, M. S. Khokar, S. Y. Shah, S. A. Shah, N. Anjum, and Q. H. Abbasi, Hybrid Workload Enabled and Secure Healthcare Monitoring Sensing System in Distributed Fog-Cloud Network, Electronics2021
13U. Saeed, S.Y. Shah, A. Zahid, N. Anjum, J. Ahmad, M. A. Imran, Q. H. Abbasi and S. A. Shaha, Wireless Channel Modelling for Identifying Six Types of Respiratory Patterns with SDR Sensing and Deep Multilayer Perceptron, IEEE Sensors2021
14R Gulbaz, A. B. Siddiqui, N. Anjum, A. A. Alotaibi, T. Althobaiti, and N. Ramzan, Balancer Genetic Algorithm – A Novel Task Scheduling Optimization Approach in Cloud Computing, Appl. Sci2021
15A. M. Qureshi; N. Anjum; N.B.R Rao; M. Nizami; A. Qayyum, Detection of Malicious Consumer Interest Packet with Dynamic Threshold Values, PeerJ Computer Science2021
16W. Sultan; N. Anjum; M. Stansfield; N. Ramzan, Hybrid Local and Global Deep-Learning Architecture for Salient-Object Detection. Appl. Sci2020
17S. Bibi, N. Anjum, T. Amjad, G. McRobbie, and N. Ramzan. Human Interaction Anticipation by Combining Deep Features and Transformed Optical Flow Components. IEEE Access2020
18A. Khattak, G. Raja, N. Anjum. Adaptive Framework for Multi-Feature Hybrid Object Tracking. Applied Sciences, 8(11), p.22942018
19S. Bibi, N. Anjum, M. Sher, Automated Multi- Feature Human Interaction Recognition in Complex Outdoor Environments, Elsevier, Computers in Industry2018
20M J. Mirza, and N. Anjum. “Association of moving objects across visual sensor networks.” Journal of Multimedia 7.12012
21N. Anjum and A. Cavallaro. Automated localization of a camera network. IEEE Intelligent Systems2012
22N. Anjum. Camera localization in distributed networks using trajectory estimation, Journal of Electrical and Computer Engineering2011
23N. Anjum and A. Cavallaro. Multi-feature object trajectory clustering for video analysis. IEEE Trans. on Circuits and Systems for Video Technology, 18(11):1555-15642008
24N. Anjum and A. Cavallaro. Trajectory clustering for scene context learning and outlier detection. Springer-Verlag series on Studies in Computational Intelligence2010
25N. Anjum and A. Cavallaro. Multi-camera calibration and global trajectory fusion. Intelligent Video Surveillance Systems and Technology2010

SR.CONFERENCE PUBLICATIONSYEAR
1A. 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), 2020.2020
2Khattak, 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, 2014.2014
3M 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), 20172017
4A. 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), 20142014
5M 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 Dubai2015
6N. Anjum ; M J. Mirza ; A. Cavallaro Camera network localization using trajectory estimation, Emerging Technologies (ICET), 20112011
7N. Anjum and A. Cavallaro. Localization of distributed wireless cameras. In Proc. of IEEE Intl. Conf. on Distributed Smart Cameras, Como (Italy), Aug., 20092009
8N. 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 award2009
9G. 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., 20082008
10N. Anjum and A. Cavallaro. Unsupervised fuzzy clustering for trajectory analysis. in Proc of IEEE Intl. Conf. on Image Processing, San Antonio, Texas (USA), Sep., 20072007
11N. 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., 20072007
12N. 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., 20072007

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